From 84de71145c4c82e60e0b217a656843a62b8e5176 Mon Sep 17 00:00:00 2001 From: skalade Date: Thu, 30 Jul 2026 00:39:09 -0600 Subject: [PATCH 01/35] feat: add ROSCon 2026 workshop courses Register finetuning and local inference as GPU courses so the workshop notebooks can run through AUP Learning Cloud. Co-authored-by: Cursor --- .github/build-config.json | 2 +- auplc_installer/catalog.py | 33 +- auplc_installer/overlay.py | 2 + dockerfiles/Courses/Finetuning/Dockerfile | 89 ++ dockerfiles/Courses/Finetuning/build.sh | 11 + dockerfiles/Courses/LocalInference/Dockerfile | 177 ++++ dockerfiles/Courses/LocalInference/build.sh | 11 + dockerfiles/Makefile | 22 +- projects/Finetuning/README.md | 13 + .../finetune_molmoact2_libero.ipynb | 785 ++++++++++++++++++ projects/Finetuning/tests/test_molmoact2.sh | 25 + projects/Finetuning/tests/test_torch.sh | 27 + .../02_local_inference_with_lemonade.ipynb | 375 +++++++++ projects/LocalInference/README.md | 14 + .../images/different_quantizations.png | Bin 0 -> 198989 bytes .../LocalInference/images/huggingface.png | Bin 0 -> 522741 bytes .../lemonade_compatible_huggingface.png | Bin 0 -> 77065 bytes .../LocalInference/images/new_terminal.png | Bin 0 -> 15546 bytes .../LocalInference/tests/test_lemonade-sdk.sh | 75 ++ projects/LocalInference/tests/test_o3de.sh | 39 + projects/LocalInference/tests/test_rai.sh | 55 ++ projects/LocalInference/tests/test_ros.sh | 37 + runtime/values.yaml | 41 +- scripts/verify-resource-contracts.py | 2 + tests/installer/test_catalog.py | 4 +- tests/installer/test_overlay.py | 2 + .../scripts/test_verify_resource_contracts.py | 2 + 27 files changed, 1835 insertions(+), 8 deletions(-) create mode 100644 dockerfiles/Courses/Finetuning/Dockerfile create mode 100755 dockerfiles/Courses/Finetuning/build.sh create mode 100644 dockerfiles/Courses/LocalInference/Dockerfile create mode 100755 dockerfiles/Courses/LocalInference/build.sh create mode 100644 projects/Finetuning/README.md create mode 100644 projects/Finetuning/finetune_molmoact2_libero.ipynb create mode 100755 projects/Finetuning/tests/test_molmoact2.sh create mode 100755 projects/Finetuning/tests/test_torch.sh create mode 100644 projects/LocalInference/02_local_inference_with_lemonade.ipynb create mode 100644 projects/LocalInference/README.md create mode 100644 projects/LocalInference/images/different_quantizations.png create mode 100644 projects/LocalInference/images/huggingface.png create mode 100644 projects/LocalInference/images/lemonade_compatible_huggingface.png create mode 100644 projects/LocalInference/images/new_terminal.png create mode 100755 projects/LocalInference/tests/test_lemonade-sdk.sh create mode 100755 projects/LocalInference/tests/test_o3de.sh create mode 100755 projects/LocalInference/tests/test_rai.sh create mode 100755 projects/LocalInference/tests/test_ros.sh diff --git a/.github/build-config.json b/.github/build-config.json index 52a62f7c..3692a871 100644 --- a/.github/build-config.json +++ b/.github/build-config.json @@ -7,5 +7,5 @@ {"name": "gfx120x", "pytorch_whl": "gfx120X-all", "rocm_sdk": "gfx120x"} ], "default_gpu_target": "gfx1151", - "courses": ["CV", "DL", "LLM", "PhySim"] + "courses": ["CV", "DL", "LLM", "PhySim", "Finetuning", "LocalInference"] } diff --git a/auplc_installer/catalog.py b/auplc_installer/catalog.py index a115db10..f2f09530 100644 --- a/auplc_installer/catalog.py +++ b/auplc_installer/catalog.py @@ -51,6 +51,14 @@ class Course: Course("Course-DL", "auplc-dl", True, "dl", "Deep Learning Course"), Course("Course-LLM", "auplc-llm", True, "llm", "Large Language Model Course"), Course("Course-PhySim", "auplc-physim", True, "physim", "Physical Simulation Course"), + Course("Course-Finetuning", "auplc-finetuning", True, "finetuning", "VLA Finetuning (MolmoAct2)"), + Course( + "Course-LocalInference", + "auplc-localinference", + True, + "local-inference", + "Local Robot Inference (RAI + Lemonade)", + ), ) COURSE_KEYS_ALL: tuple[str, ...] = tuple(c.key for c in COURSE_CATALOG) @@ -81,7 +89,15 @@ class Course: BASE_TEAM_MAPPING: dict[str, list[str]] = { "cpu": ["cpu", "code-cpu"], - "gpu": ["code-gpu", "Course-CV", "Course-DL", "Course-LLM", "Course-PhySim"], + "gpu": [ + "code-gpu", + "Course-CV", + "Course-DL", + "Course-LLM", + "Course-PhySim", + "Course-Finetuning", + "Course-LocalInference", + ], "official": [ "cpu", "gpu", @@ -91,8 +107,17 @@ class Course: "Course-DL", "Course-LLM", "Course-PhySim", + "Course-Finetuning", + "Course-LocalInference", + ], + "AUP": [ + "Course-CV", + "Course-DL", + "Course-LLM", + "Course-PhySim", + "Course-Finetuning", + "Course-LocalInference", ], - "AUP": ["Course-CV", "Course-DL", "Course-LLM", "Course-PhySim"], "native-users": [ "code-cpu", "code-gpu", @@ -100,6 +125,8 @@ class Course: "Course-DL", "Course-LLM", "Course-PhySim", + "Course-Finetuning", + "Course-LocalInference", "cpu", "gpu", ], @@ -112,6 +139,8 @@ class Course: "Course-DL", "Course-LLM", "Course-PhySim", + "Course-Finetuning", + "Course-LocalInference", ], } diff --git a/auplc_installer/overlay.py b/auplc_installer/overlay.py index b2d984d9..e7642dc7 100644 --- a/auplc_installer/overlay.py +++ b/auplc_installer/overlay.py @@ -34,6 +34,8 @@ "Course-DL": "auplc-dl", "Course-LLM": "auplc-llm", "Course-PhySim": "auplc-physim", + "Course-Finetuning": "auplc-finetuning", + "Course-LocalInference": "auplc-localinference", } diff --git a/dockerfiles/Courses/Finetuning/Dockerfile b/dockerfiles/Courses/Finetuning/Dockerfile new file mode 100644 index 00000000..0313c61c --- /dev/null +++ b/dockerfiles/Courses/Finetuning/Dockerfile @@ -0,0 +1,89 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +ARG BASE_IMAGE=ghcr.io/amdresearch/auplc-base:latest +FROM ${BASE_IMAGE} + +USER root +SHELL ["/bin/bash", "-c"] + +ARG MOLMOACT2_COMMIT=cdf4b7728e0545366bf3366639fd86477ef59d04 +ARG LEROBOT_REF=molmoact2-hf-inference + +ENV DEBIAN_FRONTEND=noninteractive \ + HF_HUB_DISABLE_TELEMETRY=1 \ + HF_HUB_DISABLE_XET=1 \ + HF_HUB_ENABLE_HF_TRANSFER=0 \ + TOKENIZERS_PARALLELISM=false \ + TORCH_BLAS_PREFER_HIPBLASLT=0 \ + TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1 + +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential \ + cmake \ + git \ + libegl-dev \ + libgles-dev \ + libglib2.0-0t64 \ + libglew-dev \ + libosmesa6-dev \ + python3-venv \ + && rm -rf /var/lib/apt/lists/* + +RUN git clone https://github.com/allenai/molmoact2 /opt/molmoact2 \ + && git -C /opt/molmoact2 checkout "${MOLMOACT2_COMMIT}" \ + && git clone --branch "${LEROBOT_REF}" --depth 1 \ + https://github.com/allenai/lerobot.git /opt/lerobot-allenai + +# Keep the ROCm torch supplied by auplc-base while installing the MolmoAct2 +# training and headless LIBERO stacks in the environment used by Jupyter. +RUN python3 -m venv --system-site-packages /opt/train-venv \ + && python3 -c "from importlib.metadata import version; \ +print('torch==' + version('torch')); \ +print('torchvision==' + version('torchvision')); \ +print('torchaudio==' + version('torchaudio'))" > /opt/torch-constraints.txt \ + && PIP_CONSTRAINT=/opt/torch-constraints.txt /opt/train-venv/bin/pip install --no-cache-dir \ + "/opt/lerobot-allenai[libero]" \ + "accelerate>=1.0" \ + "av>=12" \ + "einops>=0.7" \ + "fastapi>=0.116" \ + "hf-transfer>=0.1.8" \ + "huggingface-hub[cli]>=0.36" \ + "imageio[ffmpeg]>=2.34" \ + "json-numpy>=2.1.0" \ + "matplotlib>=3.8" \ + "pyarrow>=17" \ + "safetensors>=0.4" \ + "sentencepiece>=0.2" \ + "uvicorn[standard]>=0.35" \ + && /opt/train-venv/bin/pip install --no-cache-dir --ignore-installed --no-deps opencv-python \ + && /opt/train-venv/bin/python -c \ + "import torch, lerobot, transformers, robosuite, mujoco; assert torch.version.hip; print('MolmoAct2 training environment OK:', torch.__version__, transformers.__version__)" + +RUN mkdir -p \ + /home/jovyan/.cache/huggingface \ + /home/jovyan/checkpoints \ + /home/jovyan/outputs \ + /ryzers/notebooks +COPY ./course_data /ryzers/notebooks +RUN ln -s /ryzers/notebooks/tests/test_torch.sh /ryzers/test_torch.sh \ + && ln -s /ryzers/notebooks/tests/test_molmoact2.sh /ryzers/test_molmoact2.sh \ + && chown -R jovyan:100 \ + /home/jovyan/.cache \ + /home/jovyan/checkpoints \ + /home/jovyan/outputs \ + /ryzers + +ENV HOME=/home/jovyan \ + PATH="/opt/train-venv/bin:${PATH}" \ + HF_HOME=/home/jovyan/.cache/huggingface \ + DROID_SERVER_DIR=/opt/molmoact2/examples/droid \ + OUT_DIR=/home/jovyan/outputs \ + CHECKPOINTS_DIR=/home/jovyan/checkpoints \ + REFERENCE_POLICY=/home/jovyan/checkpoints/reference/pretrained_model \ + MUJOCO_GL=egl \ + PYOPENGL_PLATFORM=egl + +USER jovyan +WORKDIR /ryzers/notebooks diff --git a/dockerfiles/Courses/Finetuning/build.sh b/dockerfiles/Courses/Finetuning/build.sh new file mode 100755 index 00000000..534ca83c --- /dev/null +++ b/dockerfiles/Courses/Finetuning/build.sh @@ -0,0 +1,11 @@ +#!/usr/bin/env bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -euo pipefail + +cp -r ../../../projects/Finetuning ./course_data +trap 'rm -rf course_data' EXIT + +docker build ${BASE_IMAGE:+--build-arg BASE_IMAGE="$BASE_IMAGE"} \ + -t ghcr.io/amdresearch/auplc-finetuning:latest . diff --git a/dockerfiles/Courses/LocalInference/Dockerfile b/dockerfiles/Courses/LocalInference/Dockerfile new file mode 100644 index 00000000..e0e1fad8 --- /dev/null +++ b/dockerfiles/Courses/LocalInference/Dockerfile @@ -0,0 +1,177 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +ARG BASE_IMAGE=ghcr.io/amdresearch/auplc-base:latest +FROM ${BASE_IMAGE} + +USER root +SHELL ["/bin/bash", "-c"] + +ARG ROS_DISTRO=jazzy +ARG RAI_COMMIT=e54f8ca + +ENV DEBIAN_FRONTEND=noninteractive \ + ROS_DISTRO=${ROS_DISTRO} \ + LANG=en_US.UTF-8 \ + LC_ALL=en_US.UTF-8 + +# ROS 2 Jazzy and development tools. +RUN apt-get update && apt-get install -y --no-install-recommends \ + curl \ + gnupg2 \ + locales \ + python3-venv \ + software-properties-common \ + && locale-gen en_US en_US.UTF-8 \ + && update-locale LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8 \ + && add-apt-repository universe \ + && ROS_APT_SOURCE_VERSION="$(curl -fsSL https://api.github.com/repos/ros-infrastructure/ros-apt-source/releases/latest \ + | python3 -c 'import json,sys; print(json.load(sys.stdin)["tag_name"])')" \ + && curl -fsSL -o /tmp/ros2-apt-source.deb \ + "https://github.com/ros-infrastructure/ros-apt-source/releases/download/${ROS_APT_SOURCE_VERSION}/ros2-apt-source_${ROS_APT_SOURCE_VERSION}.$(. /etc/os-release && echo "${VERSION_CODENAME}")_all.deb" \ + && dpkg -i /tmp/ros2-apt-source.deb \ + && rm /tmp/ros2-apt-source.deb \ + && apt-get update \ + && apt-get install -y --no-install-recommends \ + ros-${ROS_DISTRO}-desktop \ + ros-dev-tools \ + ros-${ROS_DISTRO}-cv-bridge \ + ros-${ROS_DISTRO}-image-transport \ + ros-${ROS_DISTRO}-v4l2-camera \ + ros-${ROS_DISTRO}-web-video-server \ + && rm -rf /var/lib/apt/lists/* + +# Vulkan and O3DE. +RUN curl -fsSL https://packages.lunarg.com/lunarg-signing-key-pub.asc \ + -o /etc/apt/trusted.gpg.d/lunarg.asc \ + && curl -fsSL https://packages.lunarg.com/vulkan/lunarg-vulkan-noble.list \ + -o /etc/apt/sources.list.d/lunarg-vulkan-noble.list \ + && apt-get update \ + && apt-get install -y --no-install-recommends vulkan-sdk \ + && curl -fsSL https://o3debinaries.org/main/Latest/Linux/o3de_2510_0.deb \ + -o /tmp/o3de.deb \ + && apt-get install -y /tmp/o3de.deb \ + && rm /tmp/o3de.deb \ + && rm -rf /var/lib/apt/lists/* + +# RAI framework and ROS dependencies. +RUN apt-get update && apt-get install -y --no-install-recommends \ + ffmpeg \ + git \ + libgl1-mesa-dri \ + libportaudio2 \ + libvulkan1 \ + mesa-vulkan-drivers \ + ros-${ROS_DISTRO}-ackermann-msgs \ + ros-${ROS_DISTRO}-depth-image-proc \ + ros-${ROS_DISTRO}-gazebo-msgs \ + ros-${ROS_DISTRO}-moveit \ + ros-${ROS_DISTRO}-moveit-resources-panda-moveit-config \ + ros-${ROS_DISTRO}-rai-interfaces \ + ros-${ROS_DISTRO}-sdformat-urdf \ + unzip \ + vulkan-tools \ + weston \ + xwayland \ + && rm -rf /var/lib/apt/lists/* + +ENV CARGO_HOME=/opt/cargo \ + RUSTUP_HOME=/opt/rustup \ + PATH="/opt/cargo/bin:/opt/rai-venv/bin:${PATH}" + +RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs \ + | sh -s -- -y --default-toolchain stable --no-modify-path \ + && echo "/opt/ros/${ROS_DISTRO}/opt/sdformat_vendor/lib" \ + > /etc/ld.so.conf.d/ros-sdformat.conf \ + && ldconfig + +RUN mkdir -p /ryzers \ + && git clone https://github.com/RobotecAI/rai.git /ryzers/rai \ + && git -C /ryzers/rai checkout "${RAI_COMMIT}" \ + && cd /ryzers/rai \ + && vcs import < ros_deps.repos \ + && vcs import < demos.repos + +# Reuse the ROCm torch from auplc-base and prevent Python dependencies from +# replacing it with CUDA wheels. +RUN python3 -m venv --system-site-packages /opt/rai-venv \ + && python3 -c "from importlib.metadata import version; \ +print('torch==' + version('torch')); \ +print('torchvision==' + version('torchvision')); \ +print('torchaudio==' + version('torchaudio'))" > /opt/torch-constraints.txt \ + && PIP_CONSTRAINT=/opt/torch-constraints.txt /opt/rai-venv/bin/pip install --no-cache-dir \ + catkin_pkg \ + lark \ + "numpy<2" \ + opencv-python \ + "setuptools<82" \ + "empy<4" \ + && PIP_CONSTRAINT=/opt/torch-constraints.txt /opt/rai-venv/bin/pip install \ + --no-cache-dir --no-build-isolation openai-whisper==20231117 + +WORKDIR /ryzers/rai +RUN sed -i \ + 's/ get_grabbing_point_tool: "GetGrabbingPointTool"/ get_grabbing_point_tool: Any/' \ + src/rai_core/rai/tools/ros2/manipulation/custom.py \ + && PIP_CONSTRAINT=/opt/torch-constraints.txt pip install --no-cache-dir \ + src/rai_core src/rai_whoami \ + && (rosdep init || true) \ + && rosdep update \ + && rosdep install \ + --from-paths src/examples/rai-manipulation-demo/ros2_ws/src \ + --ignore-src -r -y \ + && . /opt/ros/${ROS_DISTRO}/setup.sh \ + && colcon build --symlink-install \ + && PIP_CONSTRAINT=/opt/torch-constraints.txt pip install --no-cache-dir \ + src/rai_bench src/rai_sim rai-perception \ + && python3 -c \ + "import torch; assert torch.version.hip, 'RAI dependencies replaced ROCm torch'; print('RAI ROCm environment OK:', torch.__version__)" + +# Lemonade local OpenAI-compatible model server. +RUN add-apt-repository ppa:lemonade-team/stable \ + && apt-get update \ + && apt-get install -y --no-install-recommends lemonade-server \ + && rm -rf /var/lib/apt/lists/* + +RUN getent group audio >/dev/null || groupadd audio \ + && getent group kvm >/dev/null || groupadd kvm \ + && usermod -aG audio,kvm jovyan \ + && mkdir -p \ + /home/jovyan/.cache/huggingface \ + /home/jovyan/.cache/lemonade \ + /home/jovyan/.streamlit \ + /ryzers/notebooks \ + /tmp/runtime-jovyan \ + && chmod 700 /tmp/runtime-jovyan \ + && printf 'pcm.!default = null;\n' > /home/jovyan/.asoundrc \ + && printf '[general]\nemail = ""\n' > /home/jovyan/.streamlit/credentials.toml + +COPY ./course_data /ryzers/notebooks + +RUN ln -s /ryzers/notebooks/tests/test_ros.sh /ryzers/test_ros.sh \ + && ln -s /ryzers/notebooks/tests/test_o3de.sh /ryzers/test_o3de.sh \ + && ln -s /ryzers/notebooks/tests/test_rai.sh /ryzers/test_rai.sh \ + && ln -s /ryzers/notebooks/tests/test_lemonade-sdk.sh /ryzers/test_lemonade-sdk.sh \ + && chown -R jovyan:100 \ + /home/jovyan/.cache \ + /home/jovyan/.streamlit \ + /home/jovyan/.asoundrc \ + /ryzers \ + /tmp/runtime-jovyan \ + && printf '%s\n' \ + '#!/usr/bin/env bash' \ + 'set -e' \ + 'source "/opt/ros/${ROS_DISTRO}/setup.bash"' \ + '[ ! -f /ryzers/rai/install/setup.bash ] || source /ryzers/rai/install/setup.bash' \ + 'exec /bin/bash /entrypoint.sh "$@"' \ + > /usr/local/bin/start-local-inference.sh \ + && chmod +x /usr/local/bin/start-local-inference.sh + +ENV HOME=/home/jovyan \ + HF_HOME=/home/jovyan/.cache/huggingface \ + XDG_RUNTIME_DIR=/tmp/runtime-jovyan + +USER jovyan +WORKDIR /ryzers/notebooks + +CMD ["/usr/local/bin/start-local-inference.sh"] diff --git a/dockerfiles/Courses/LocalInference/build.sh b/dockerfiles/Courses/LocalInference/build.sh new file mode 100755 index 00000000..e26c4544 --- /dev/null +++ b/dockerfiles/Courses/LocalInference/build.sh @@ -0,0 +1,11 @@ +#!/usr/bin/env bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -euo pipefail + +cp -r ../../../projects/LocalInference ./course_data +trap 'rm -rf course_data' EXIT + +docker build ${BASE_IMAGE:+--build-arg BASE_IMAGE="$BASE_IMAGE"} \ + -t ghcr.io/amdresearch/auplc-localinference:latest . diff --git a/dockerfiles/Makefile b/dockerfiles/Makefile index 5aae172c..f2824c38 100644 --- a/dockerfiles/Makefile +++ b/dockerfiles/Makefile @@ -40,7 +40,7 @@ ifneq ($(MIRROR_NPM),) BUILD_ARGS += --build-arg NPM_REGISTRY=$(MIRROR_NPM) endif -.PHONY: all base base-cpu base-rocm base-gfx1151 hub code code-cpu code-gpu courses cv dl llm physim verify-resource-contracts +.PHONY: all base base-cpu base-rocm base-gfx1151 hub code code-cpu code-gpu courses cv dl llm physim finetuning local-inference verify-resource-contracts # Build all images all: base hub code courses @@ -118,7 +118,7 @@ code-gpu: $(MAKE) save-image IMAGE=ghcr.io/amdresearch/auplc-code-gpu:latest # --- Course Images --- -courses: cv dl llm physim +courses: cv dl llm physim finetuning local-inference cv: @echo "-------------------------------------------"; \ @@ -156,6 +156,24 @@ physim: docker tag ghcr.io/amdresearch/auplc-physim:latest ghcr.io/amdresearch/auplc-physim:latest-$(GPU_TARGET) $(MAKE) save-image IMAGE=ghcr.io/amdresearch/auplc-physim:latest +finetuning: + @echo "-------------------------------------------"; \ + echo "Building ROSCon Finetuning Course Image..."; \ + echo "-------------------------------------------"; + + cd Courses/Finetuning && BASE_IMAGE=$(GPU_BASE_IMAGE) bash ./build.sh + docker tag ghcr.io/amdresearch/auplc-finetuning:latest ghcr.io/amdresearch/auplc-finetuning:latest-$(GPU_TARGET) + $(MAKE) save-image IMAGE=ghcr.io/amdresearch/auplc-finetuning:latest + +local-inference: + @echo "-------------------------------------------"; \ + echo "Building ROSCon Local Inference Course Image..."; \ + echo "-------------------------------------------"; + + cd Courses/LocalInference && BASE_IMAGE=$(GPU_BASE_IMAGE) bash ./build.sh + docker tag ghcr.io/amdresearch/auplc-localinference:latest ghcr.io/amdresearch/auplc-localinference:latest-$(GPU_TARGET) + $(MAKE) save-image IMAGE=ghcr.io/amdresearch/auplc-localinference:latest + # --- Export Images --- save-image: @if [ -n "$(SAVE_IMAGES)" ] && [ -n "$(K3S_IMAGES_DIR)" ]; then \ diff --git a/projects/Finetuning/README.md b/projects/Finetuning/README.md new file mode 100644 index 00000000..20ca2026 --- /dev/null +++ b/projects/Finetuning/README.md @@ -0,0 +1,13 @@ +# ROSCon 2026: VLA Finetuning + +Open `finetune_molmoact2_libero.ipynb`. + +Environment checks: + +```bash +/ryzers/test_torch.sh +/ryzers/test_molmoact2.sh +``` + +Models are cached under `~/.cache/huggingface`. Training outputs and checkpoints +are written under `~/outputs` and `~/checkpoints`. diff --git a/projects/Finetuning/finetune_molmoact2_libero.ipynb b/projects/Finetuning/finetune_molmoact2_libero.ipynb new file mode 100644 index 00000000..b0608a67 --- /dev/null +++ b/projects/Finetuning/finetune_molmoact2_libero.ipynb @@ -0,0 +1,785 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# MolmoAct2 LoRA fine-tuning workshop (AMD, ROCm)\n", + "\n", + "This notebook takes a **pretrained MolmoAct2** vision-language-action model and **LoRA fine-tunes** it, then evaluates the fine-tuned policy in the **headless LIBERO simulator** - all on AMD hardware (a single Strix Halo iGPU, or a multi-GPU AMD Instinct node).\n", + "\n", + "**Real -> sim story.** We start from `allenai/MolmoAct2-DROID` (trained on the *real* Franka Panda arm, delta end-effector control) and LoRA-adapt it onto the `allenai/MolmoAct2-LIBERO-Dataset` (the LIBERO *simulator*). Same Panda embodiment and action space, so the base is well-initialized; the LoRA adapter learns the sim.\n", + "\n", + "**How LoRA works here.** The heavy VLM backbone (SigLIP2 vision tower + Qwen3-class LM) is *frozen*; small low-rank adapter matrices are trained on top. The flow-matching action expert stays fully trainable (upstream found this crucial). This keeps memory low enough to fine-tune on a single Strix Halo.\n", + "\n", + "Steps:\n", + "1. **Model import smoke-test** - ROCm/GPU sanity + import the MolmoAct2 stacks\n", + "2. **Download + load** the base checkpoint (one real forward proves the load)\n", + "3. **Open-loop rollout** on a few real DROID episodes (GT-vs-pred overlay)\n", + "4. **LoRA fine-tune** setup + a few steps (auto-scales single/multi-GPU)\n", + "5. **Load the LoRA checkpoint on the DROID base -> LIBERO policy** + closed-loop eval\n", + "\n", + "Everything is **self-contained in this notebook** - steps 1-3 (probe, load, open-loop) run directly *in the kernel* (no external scripts), and the fine-tune / eval / interactive-sim cells build their exact command inline. ROCm's noisy `HIPBLAS`/experimental-attention warnings are suppressed so the output stays readable.\n", + "\n", + "This runs on a single Strix Halo iGPU; the sibling `finetune_molmoact2_cluster.ipynb` retargets step 4 to a multi-GPU AMD Instinct node." + ], + "id": "057b9699" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import os\n", + "\n", + "# --- Quiet ROCm/torch on this iGPU *before* importing torch --------------------------------\n", + "# On gfx1151 every matmul otherwise logs \"HIPBLAS_STATUS_NOT_SUPPORTED ... will attempt to\n", + "# recover by calling cublas\" and \"experimental flash/mem-efficient attention\" UserWarnings,\n", + "# which flood the notebook. Preferring plain hipBLAS over hipBLASLt stops the fallback spam\n", + "# at the source; PYTHONWARNINGS + filterwarnings hide the rest (in-kernel and in children).\n", + "os.environ.setdefault(\"TORCH_BLAS_PREFER_HIPBLASLT\", \"0\")\n", + "os.environ.setdefault(\"PYTHONWARNINGS\", \"ignore\")\n", + "os.environ.setdefault(\"TOKENIZERS_PARALLELISM\", \"false\")\n", + "os.environ.setdefault(\"HF_HUB_DISABLE_XET\", \"1\")\n", + "# Silence the per-file download bars (file-003.parquet 100% ...) and the tqdm train/eval/load\n", + "# loops that otherwise redraw every fraction of a second and swamp the cell output. Progress is\n", + "# instead reported by the loaders' own periodic log lines (and the loss plot in Step 4).\n", + "os.environ.setdefault(\"HF_HUB_DISABLE_PROGRESS_BARS\", \"1\")\n", + "os.environ.setdefault(\"TQDM_DISABLE\", \"1\")\n", + "\n", + "import glob\n", + "import json\n", + "import logging\n", + "import re\n", + "import signal\n", + "import subprocess\n", + "import sys\n", + "import time\n", + "import warnings\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "# Silence per-request HTTP logs and the base loader's benign bf16-patch \"needle not found\"\n", + "# notices so the only thing printed is the workshop's own progress.\n", + "for _n in (\n", + " \"transformers\",\n", + " \"lerobot\",\n", + " \"accelerate\",\n", + " \"datasets\",\n", + " \"huggingface_hub\",\n", + " \"httpx\",\n", + " \"httpcore\",\n", + " \"urllib3\",\n", + " \"host_server_droid\",\n", + "):\n", + " logging.getLogger(_n).setLevel(logging.ERROR)\n", + "\n", + "import numpy as np\n", + "import torch\n", + "\n", + "# Paths inside the workshop image. Everything below runs in THIS kernel's trainable venv;\n", + "# the few genuine subprocesses left (fine-tune / eval / RT sim server) build their exact\n", + "# command inline in the cell, so there are no hidden wrapper scripts to go hunting for.\n", + "RYZERS = \"/ryzers\"\n", + "DROID_SRV = os.environ.get(\"DROID_SERVER_DIR\", \"/repos/molmoact2/examples/droid\")\n", + "TRAIN_PY = \"/opt/train-venv/bin/python\"\n", + "OUT_DIR = os.environ.get(\"OUT_DIR\", \"/outputs\")\n", + "os.makedirs(OUT_DIR, exist_ok=True)\n", + "if DROID_SRV not in sys.path:\n", + " sys.path.insert(0, DROID_SRV)\n", + "\n", + "\n", + "# Env for child processes: keep the warning-suppression flags and DROP the inherited\n", + "# matplotlib-inline backend (MPLBACKEND=module://matplotlib_inline...), which crashes\n", + "# headless children (the open-loop / eval crash we hit before).\n", + "def child_env(**extra):\n", + " e = dict(os.environ)\n", + " e.pop(\"MPLBACKEND\", None)\n", + " e.update({\"TORCH_BLAS_PREFER_HIPBLASLT\": \"0\", \"PYTHONWARNINGS\": \"ignore\", \"PYTHONUNBUFFERED\": \"1\"})\n", + " e.update({k: str(v) for k, v in extra.items()})\n", + " return e\n", + "\n", + "\n", + "# Backstop line filter: even with the flags above, drop any stray ROCm/torch warning lines\n", + "# so the streamed subprocess output stays readable.\n", + "_NOISE = (\n", + " \"UserWarning\",\n", + " \"HIPBLAS_STATUS\",\n", + " \"hipblasLtMatmul\",\n", + " \"Triggered internally\",\n", + " \"scaled_dot_product_attention\",\n", + " \"run_backward\",\n", + " \"aotriton\",\n", + " \"AOTRITON\",\n", + ")\n", + "\n", + "\n", + "def run_cmd(cmd, env=None, cwd=None, quiet_warnings=True):\n", + " \"\"\"Stream a subprocess into the notebook, filtering the noisy warning lines.\"\"\"\n", + " print(\"$ \" + (cmd if isinstance(cmd, str) else \" \".join(map(str, cmd))) + \"\\n\", flush=True)\n", + " p = subprocess.Popen(\n", + " cmd,\n", + " shell=isinstance(cmd, str),\n", + " env=env,\n", + " cwd=cwd,\n", + " stdout=subprocess.PIPE,\n", + " stderr=subprocess.STDOUT,\n", + " text=True,\n", + " bufsize=1,\n", + " )\n", + " for line in p.stdout:\n", + " if quiet_warnings and any(tok in line for tok in _NOISE):\n", + " continue\n", + " print(line, end=\"\", flush=True)\n", + " p.wait()\n", + " if p.returncode != 0:\n", + " raise RuntimeError(f\"command failed (exit {p.returncode})\")\n", + "\n", + "\n", + "# LeRobot logs one metrics line per `log_freq` steps, e.g. \"step:10 ... loss:1.684 grdn:.. lr:..\".\n", + "# run_train streams the process (filtering noise like run_cmd) AND scrapes those (step, loss)\n", + "# points so Step 4 can draw a small loss curve at the end. Handles the human-formatted step\n", + "# number (10, 1.5K, 2M) that LeRobot prints for large runs.\n", + "_STEP_RE = re.compile(r\"\\bstep:\\s*([0-9.]+)\\s*([KMB]?)\")\n", + "_LOSS_RE = re.compile(r\"\\bloss:\\s*([0-9.]+)\")\n", + "_SUF = {\"\": 1.0, \"K\": 1e3, \"M\": 1e6, \"B\": 1e9}\n", + "\n", + "\n", + "def run_train(cmd, env=None, cwd=None):\n", + " \"\"\"Stream a training subprocess (noise-filtered) and return captured [(step, loss), ...].\"\"\"\n", + " print(\"$ \" + (cmd if isinstance(cmd, str) else \" \".join(map(str, cmd))) + \"\\n\", flush=True)\n", + " p = subprocess.Popen(\n", + " cmd,\n", + " shell=isinstance(cmd, str),\n", + " env=env,\n", + " cwd=cwd,\n", + " stdout=subprocess.PIPE,\n", + " stderr=subprocess.STDOUT,\n", + " text=True,\n", + " bufsize=1,\n", + " )\n", + " pts = []\n", + " for line in p.stdout:\n", + " if any(tok in line for tok in _NOISE):\n", + " continue\n", + " print(line, end=\"\", flush=True)\n", + " ms, ml = _STEP_RE.search(line), _LOSS_RE.search(line)\n", + " if ms and ml:\n", + " pts.append((float(ms.group(1)) * _SUF[ms.group(2)], float(ml.group(1))))\n", + " p.wait()\n", + " if p.returncode != 0:\n", + " raise RuntimeError(f\"command failed (exit {p.returncode})\")\n", + " return pts\n", + "\n", + "\n", + "# Flow-matching action-head call, tolerant of the inference_action_mode (new) vs action_mode\n", + "# (old) kwarg rename across MolmoAct2 checkpoints. Ported inline so Steps 2-3 need no scripts.\n", + "def predict_chunk(policy, norm_tag, images, task, state, num_steps):\n", + " kw = {\n", + " \"processor\": policy.processor,\n", + " \"images\": images,\n", + " \"task\": task,\n", + " \"state\": state,\n", + " \"norm_tag\": norm_tag,\n", + " \"enable_depth_reasoning\": False,\n", + " \"num_steps\": num_steps,\n", + " \"normalize_language\": True,\n", + " \"enable_cuda_graph\": False,\n", + " }\n", + " try:\n", + " out = policy.model.predict_action(inference_action_mode=\"continuous\", **kw)\n", + " except TypeError as e:\n", + " if \"action_mode\" not in str(e):\n", + " raise\n", + " out = policy.model.predict_action(action_mode=\"continuous\", **kw)\n", + " raw = out.actions if hasattr(out, \"actions\") else out\n", + " if torch.is_tensor(raw):\n", + " raw = raw.detach().to(dtype=torch.float32, device=\"cpu\").numpy()\n", + " a = np.asarray(raw, dtype=np.float32)\n", + " if a.ndim == 3 and a.shape[0] == 1:\n", + " a = a[0]\n", + " return a" + ], + "execution_count": null, + "outputs": [], + "id": "8f2015a5" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Model import smoke-test\n", + "\n", + "Confirms the trainable venv sees a ROCm device and imports the LeRobot MolmoAct2 training stack (torch+HIP, transformers, lerobot, robosuite/mujoco). The detected **GPU count** drives sensible defaults below (small batch/steps on a single Strix Halo, larger on a multi-GPU Instinct node). No weights are loaded here - this is a fast import/environment check." + ], + "id": "775f0630" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "# In-kernel probe (no subprocess): confirm a ROCm device and that the trainable MolmoAct2\n", + "# + sim stack imports. The detected GPU count drives the batch/step defaults below.\n", + "assert torch.version.hip, \"torch is not a ROCm build\"\n", + "assert torch.cuda.is_available(), \"no ROCm device visible (check /dev/kfd, /dev/dri)\"\n", + "print(f\"torch : {torch.__version__} hip={torch.version.hip}\")\n", + "\n", + "N_GPUS, gpu_names, vram_gib = max(1, torch.cuda.device_count()), [], []\n", + "for i in range(torch.cuda.device_count()):\n", + " pr = torch.cuda.get_device_properties(i)\n", + " gpu_names.append(pr.name)\n", + " vram_gib.append(round(pr.total_memory / 1024**3, 1))\n", + " print(f\"device[{i}] : {pr.name} ({vram_gib[-1]} GiB)\")\n", + "\n", + "for mod in (\"lerobot\", \"transformers\", \"robosuite\", \"mujoco\", \"accelerate\"):\n", + " m = __import__(mod)\n", + " print(f\"{mod:16s} : {getattr(m, '__version__', '?')}\")\n", + "\n", + "print(f\"\\n==> detected {N_GPUS} GPU(s): {gpu_names} VRAM(GiB)={vram_gib}\")" + ], + "execution_count": null, + "outputs": [], + "id": "fbcbb639" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Download + load the base checkpoint\n", + "\n", + "Downloads the base checkpoint to adapt (`allenai/MolmoAct2-DROID`, real Franka) and the fine-tuning dataset (`allenai/MolmoAct2-LIBERO-Dataset`) into the persistent HF cache, then **loads the checkpoint and runs one real forward** to prove the whole flow-matching action path executes on ROCm (bf16). Nothing is re-hosted by us; everything pulls from Hugging Face at run time. Set `HF_TOKEN` for faster/gated downloads. First run pulls tens of GB - it is cached and reused afterwards.\n", + "\n", + "**One base, used twice (and why the on-disk sizes differ).** This exact same `allenai/MolmoAct2-DROID` download is reused for *both* the open-loop check (Step 3, loaded here) *and* as the starting point of the LoRA fine-tune (Step 4 passes `--policy.checkpoint_path=allenai/MolmoAct2-DROID`) - it is fetched once and shared from the HF cache. The released base ships in **fp32** (~22 GB across 5 shards ≈ 4 bytes × 5.4B params). We load it and train in **bf16**, and LeRobot saves the fine-tuned policy - the base with the LoRA update folded in - as a single **bf16** `model.safetensors` (~11.5 GB ≈ 2 bytes × 5.4B params) plus tiny normalizer stats. So the fine-tuned checkpoint is *half* the size not because it has fewer weights, but because it is stored at half the precision." + ], + "id": "a0433813" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "from huggingface_hub import snapshot_download\n", + "\n", + "BASE_CKPT = os.environ.get(\"BASE_CKPT\", \"allenai/MolmoAct2-DROID\")\n", + "DATASET_REPO = os.environ.get(\"DATASET_REPO\", \"allenai/MolmoAct2-LIBERO-Dataset\")\n", + "\n", + "\n", + "# Pull straight from Hugging Face into the mounted HF cache (nothing is re-hosted by us).\n", + "# Cached + reused on later runs; first run pulls tens of GB. Set HF_TOKEN for gated/faster pulls.\n", + "def prefetch(repo_id, repo_type, tries=5):\n", + " for n in range(1, tries + 1):\n", + " try:\n", + " snapshot_download(repo_id=repo_id, repo_type=repo_type)\n", + " print(f\" cached [{repo_type}]: {repo_id}\")\n", + " return\n", + " except Exception as e:\n", + " print(f\" ({repo_type} {repo_id} attempt {n}/{tries} failed: {str(e)[:100]}; resuming...)\")\n", + " if n == tries:\n", + " raise\n", + " time.sleep(5)\n", + "\n", + "\n", + "prefetch(BASE_CKPT, \"model\")\n", + "prefetch(DATASET_REPO, \"dataset\")\n", + "print(\"PASS: base checkpoint + dataset cached\")" + ], + "execution_count": null, + "outputs": [], + "id": "5606c42f" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "# Load the base checkpoint in THIS kernel via the upstream DROID Policy loader (bf16 patches\n", + "# baked at /repos/molmoact2/examples/droid) and run ONE real forward. Proves the full 6B\n", + "# flow-matching action path executes on ROCm and that the just-downloaded weights load. First\n", + "# call may JIT-compile kernels (slow once). We keep `base_policy` around to reuse in Step 3.\n", + "from host_server_droid import NORM_TAG, Policy\n", + "from PIL import Image\n", + "\n", + "DTYPE = {\"bfloat16\": torch.bfloat16, \"float16\": torch.float16, \"float32\": torch.float32}[\n", + " os.environ.get(\"DTYPE\", \"bfloat16\")\n", + "]\n", + "NUM_STEPS = int(os.environ.get(\"NUM_STEPS\", \"10\"))\n", + "\n", + "t0 = time.time()\n", + "base_policy = Policy(repo_id=BASE_CKPT, device=\"cuda:0\", dtype=DTYPE)\n", + "n_params = sum(p.numel() for p in base_policy.model.parameters())\n", + "print(f\"model loaded : {time.time() - t0:.1f}s params={n_params / 1e9:.2f}B norm_tag={NORM_TAG}\")\n", + "\n", + "# One dummy DROID observation: 3 cams (ext1, ext2, wrist) + 8-DoF state.\n", + "imgs = [Image.fromarray(np.random.randint(0, 255, (180, 320, 3), dtype=np.uint8)) for _ in range(3)]\n", + "t1 = time.time()\n", + "acts = predict_chunk(base_policy, NORM_TAG, imgs, \"pick up the object\", np.zeros(8, np.float32), NUM_STEPS)\n", + "print(f\"predict_action : {acts.shape} in {(time.time() - t1) * 1000:.0f} ms\")\n", + "assert acts.ndim == 2 and acts.shape[-1] == 8 and np.isfinite(acts).all(), f\"bad actions {acts.shape}\"\n", + "print(\"PASS: MolmoAct2 full-model ROCm smoke OK\")" + ], + "execution_count": null, + "outputs": [], + "id": "b49d5df9" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Open-loop rollout on a few real DROID episodes\n", + "\n", + "Before fine-tuning, sanity-check the base policy on the **real** data it was trained on. This is a multi-episode port-fidelity check: we draw **`N_DROID_EPISODES` random episodes** (default `2`) from `allenai/MolmoAct2-DROID-Dataset` - each is a *different* real teleop episode with its own task string - and replay each one open-loop (receding-horizon: replan every `STRIDE` steps). For every episode we write, under `/outputs`:\n", + "\n", + "- `droid_ep.mp4` - the episode's exterior camera view (the scene the model predicts on),\n", + "- `droid_ep_actions.png` - the 8-DoF **GT (teleop) vs predicted** action trajectory, overlaid per dim on the same axes (GT solid, pred dashed).\n", + "\n", + "**About the downloads you see.** MolmoAct2 consumes **3 camera streams** (`exterior_1`, `exterior_2`, `wrist`), so each random episode pulls its own 3 camera `.mp4` clips (plus one small `.parquet` of states/actions) on demand from the Hub. That is why you see downloads continue per episode, and why - mid-run - the file count can be ahead of the finished-episode count (e.g. the 3rd clip of episode 2 is still streaming while only episode 1 has printed its metrics). It is **bounded**: total clips ≈ `3 × N_DROID_EPISODES`, and everything is cached for reruns. This is *not* the closed-loop task benchmark (that's Step 5); to make it lighter set `N_DROID_EPISODES=1`, or pin one episode with `EPISODE=`.\n", + "\n", + "The newest episode's plot + video are shown inline below." + ], + "id": "9d85ac05" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import random\n", + "\n", + "import matplotlib.pyplot as plt # inline backend -> plots render in the notebook, no Agg/subprocess\n", + "import pyarrow.compute as pc\n", + "import pyarrow.parquet as pq\n", + "from huggingface_hub import hf_hub_download\n", + "from IPython.display import Video, display\n", + "\n", + "EVAL_REPO = os.environ.get(\"EVAL_REPO\", \"allenai/MolmoAct2-DROID-Dataset\")\n", + "STRIDE = int(os.environ.get(\"STRIDE\", \"15\"))\n", + "N_DROID = int(os.environ.get(\"N_DROID_EPISODES\", \"2\"))\n", + "VIEW_CAM = \"observation.images.\" + os.environ.get(\"CAM\", \"exterior_1_left\")\n", + "CAMS = [\"observation.images.exterior_1_left\", \"observation.images.exterior_2_left\", \"observation.images.wrist_left\"]\n", + "DIM_NAMES = [\"joint_0\", \"joint_1\", \"joint_2\", \"joint_3\", \"joint_4\", \"joint_5\", \"joint_6\", \"gripper\"]\n", + "\n", + "\n", + "def _grab_frames(path, indices):\n", + " \"\"\"Decode the specific source frames we replan on (nearest-match fallback).\"\"\"\n", + " import av\n", + "\n", + " want = sorted({int(i) for i in indices})\n", + " if not want:\n", + " return {}\n", + " container = av.open(path)\n", + " stream = container.streams.video[0]\n", + " stream.thread_type = \"AUTO\"\n", + " rate, tb = float(stream.average_rate), stream.time_base\n", + " try:\n", + " container.seek(max(int((want[0] / rate) / tb), 0), stream=stream, backward=True, any_frame=False)\n", + " except Exception:\n", + " container.seek(0)\n", + " out, remaining = {}, set(want)\n", + " for frame in container.decode(stream):\n", + " if frame.pts is None:\n", + " continue\n", + " idx = int(round(float(frame.pts * tb) * rate))\n", + " if idx in remaining:\n", + " out[idx] = frame.to_ndarray(format=\"rgb24\")\n", + " remaining.discard(idx)\n", + " elif idx > want[-1]:\n", + " break\n", + " if not remaining:\n", + " break\n", + " container.close()\n", + " if remaining and out:\n", + " got = sorted(out)\n", + " for idx in list(remaining):\n", + " out[idx] = out[min(got, key=lambda g: abs(g - idx))]\n", + " return out\n", + "\n", + "\n", + "def _decode_clip(path, start_idx, n_frames):\n", + " \"\"\"Decode n contiguous frames from start_idx for the episode video.\"\"\"\n", + " import av\n", + "\n", + " container = av.open(path)\n", + " stream = container.streams.video[0]\n", + " stream.thread_type = \"AUTO\"\n", + " rate, tb = float(stream.average_rate), stream.time_base\n", + " try:\n", + " container.seek(max(int((start_idx / rate) / tb), 0), stream=stream, backward=True, any_frame=False)\n", + " except Exception:\n", + " container.seek(0)\n", + " frames = []\n", + " for frame in container.decode(stream):\n", + " if frame.pts is None:\n", + " continue\n", + " if int(round(float(frame.pts * tb) * rate)) < start_idx:\n", + " continue\n", + " frames.append(frame.to_ndarray(format=\"rgb24\"))\n", + " if len(frames) >= n_frames:\n", + " break\n", + " container.close()\n", + " return frames\n", + "\n", + "\n", + "def run_openloop_episode():\n", + " \"\"\"Replay one random DROID episode open-loop (replan every STRIDE) and show GT-vs-pred.\"\"\"\n", + " info = json.load(open(hf_hub_download(EVAL_REPO, \"meta/info.json\", repo_type=\"dataset\")))\n", + " fps, data_tmpl, video_tmpl = info[\"fps\"], info[\"data_path\"], info[\"video_path\"]\n", + " meta_ep = pq.read_table(\n", + " hf_hub_download(EVAL_REPO, \"meta/episodes/chunk-000/file-000.parquet\", repo_type=\"dataset\")\n", + " ).to_pydict()\n", + " episodes = list(meta_ep[\"episode_index\"])\n", + " ep_env = os.environ.get(\"EPISODE\", \"\")\n", + " episode = int(ep_env) if ep_env else random.choice(episodes)\n", + " mr = episodes.index(episode)\n", + " d_chunk, d_file = meta_ep[\"data/chunk_index\"][mr], meta_ep[\"data/file_index\"][mr]\n", + " length = meta_ep[\"length\"][mr]\n", + " task = meta_ep[\"tasks\"][mr]\n", + " task = task[0] if isinstance(task, (list, tuple)) else task\n", + " print(f\"episode {episode} task={task!r} length={length}\")\n", + "\n", + " # dataset_from/to_index are GLOBAL rows; filter the per-file table by episode_index.\n", + " dt = pq.read_table(\n", + " hf_hub_download(EVAL_REPO, data_tmpl.format(chunk_index=d_chunk, file_index=d_file), repo_type=\"dataset\")\n", + " )\n", + " ep_table = dt.filter(pc.equal(dt.column(\"episode_index\"), episode))\n", + " col = lambda name: ep_table.column(name).to_pylist()\n", + " states = np.asarray(col(\"observation.state\"), np.float32)\n", + " gt = np.asarray(col(\"action\"), np.float32)\n", + " timestamps = np.asarray(col(\"timestamp\"), np.float64)\n", + "\n", + " replan_pts = list(range(0, length, STRIDE))\n", + " cam_meta = {\n", + " c: {\n", + " \"chunk\": meta_ep[f\"videos/{c}/chunk_index\"][mr],\n", + " \"file\": meta_ep[f\"videos/{c}/file_index\"][mr],\n", + " \"from_ts\": meta_ep[f\"videos/{c}/from_timestamp\"][mr],\n", + " }\n", + " for c in CAMS\n", + " }\n", + " frames_by_cam = {}\n", + " for c in CAMS:\n", + " cm = cam_meta[c]\n", + " vp = hf_hub_download(\n", + " EVAL_REPO,\n", + " video_tmpl.format(video_key=c, chunk_index=cm[\"chunk\"], file_index=cm[\"file\"]),\n", + " repo_type=\"dataset\",\n", + " )\n", + " idxs = [int(round((cm[\"from_ts\"] + timestamps[t]) * fps)) for t in replan_pts]\n", + " grabbed = _grab_frames(vp, idxs)\n", + " frames_by_cam[c] = {t: grabbed[int(round((cm[\"from_ts\"] + timestamps[t]) * fps))] for t in replan_pts}\n", + "\n", + " pred = np.full_like(gt, np.nan)\n", + " lat = []\n", + " for t in replan_pts:\n", + " pics = [Image.fromarray(frames_by_cam[c][t]) for c in CAMS]\n", + " torch.cuda.synchronize()\n", + " ts = time.perf_counter()\n", + " chunk = predict_chunk(base_policy, NORM_TAG, pics, task, states[t], NUM_STEPS)\n", + " torch.cuda.synchronize()\n", + " lat.append((time.perf_counter() - ts) * 1000)\n", + " n = min(STRIDE, length - t, chunk.shape[0])\n", + " pred[t : t + n] = chunk[:n]\n", + "\n", + " valid = ~np.isnan(pred).any(axis=1)\n", + " l1 = float(np.abs(pred[valid] - gt[valid]).mean())\n", + " mse = float(((pred[valid] - gt[valid]) ** 2).mean())\n", + " print(f\"open-loop : L1={l1:.4f} MSE={mse:.4f} ({np.mean(lat):.0f} ms/infer)\")\n", + "\n", + " # Episode exterior view (the scene the model predicts on).\n", + " cm = cam_meta[VIEW_CAM]\n", + " vpath = hf_hub_download(\n", + " EVAL_REPO,\n", + " video_tmpl.format(video_key=VIEW_CAM, chunk_index=cm[\"chunk\"], file_index=cm[\"file\"]),\n", + " repo_type=\"dataset\",\n", + " )\n", + " frames = _decode_clip(vpath, int(round((cm[\"from_ts\"] + timestamps[0]) * fps)), length)\n", + " vid = os.path.join(OUT_DIR, f\"droid_ep{episode}.mp4\")\n", + " if frames:\n", + " import imageio\n", + "\n", + " imageio.mimsave(vid, frames, fps=int(round(fps)), codec=\"libx264\", quality=7)\n", + "\n", + " # GT (solid) vs predicted (dashed), overlaid per dim (workspace rule 2.a) - inline + saved.\n", + " fig, axes = plt.subplots(2, 4, figsize=(16, 7), squeeze=False)\n", + " x = np.arange(gt.shape[0])\n", + " for d in range(8):\n", + " ax = axes[d // 4][d % 4]\n", + " ax.plot(x, gt[:, d], color=\"tab:blue\", lw=1.4, label=\"GT (teleop)\")\n", + " ax.plot(x, pred[:, d], color=\"tab:red\", lw=1.2, ls=\"--\", label=\"MolmoAct2 (pred)\")\n", + " ax.set_title(DIM_NAMES[d], fontsize=10)\n", + " ax.tick_params(labelsize=7)\n", + " if d == 0:\n", + " ax.legend(fontsize=8, loc=\"best\")\n", + " fig.suptitle(\n", + " f\"MolmoAct2-DROID open-loop (ROCm), ep {episode}\\n{task}\\nL1={l1:.4f} MSE={mse:.4f} (GT solid, pred dashed)\",\n", + " fontsize=11,\n", + " )\n", + " fig.tight_layout(rect=[0, 0, 1, 0.9])\n", + " fig.savefig(os.path.join(OUT_DIR, f\"droid_ep{episode}_actions.png\"), dpi=110)\n", + " plt.show()\n", + " if frames:\n", + " display(Video(vid, embed=True, width=480))\n", + "\n", + "\n", + "for _ in range(N_DROID):\n", + " run_openloop_episode()\n", + "\n", + "# Release the base DROID policy so the fine-tune below has the iGPU to itself.\n", + "import gc\n", + "\n", + "del base_policy\n", + "gc.collect()\n", + "torch.cuda.empty_cache()" + ], + "execution_count": null, + "outputs": [], + "id": "2fe84d50" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. LoRA fine-tune (setup + a few steps)\n", + "\n", + "The same command runs single-GPU on Strix Halo and multi-GPU on an AMD Instinct node (`accelerate` uses `N_GPUS` processes automatically; the cluster notebook shows the multi-GPU path).\n", + "\n", + "**Fine-tune modes** (`FT_MODE`, maps to `--policy.train_mode_vlm`):\n", + "- `lora_vlm` *(default)* - LoRA adapters on the VLM; action expert fully trainable. ~20 GiB at batch 8.\n", + "- `action_expert_only` - freeze the VLM, train only the flow-matching action expert. ~16 GiB at batch 8.\n", + "- `full` - full fine-tune of VLM + action expert (~48 GiB at batch 8; prefer a multi-GPU Instinct node).\n", + "\n", + "For the workshop we run only a **few steps** to see the loop work end to end; a longer-trained *reference* checkpoint is provided for a compelling sim demo (see the last section)." + ], + "id": "b64258c7" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import shutil\n", + "\n", + "FT_MODE = os.environ.get(\"FT_MODE\", \"lora_vlm\")\n", + "# Workshop default: just 10 steps to prove the loop end to end. SAVE_FREQ defaults to STEPS,\n", + "# so a checkpoint reliably lands at the final step (this is what Step 5 loads). Raise STEPS\n", + "# (e.g. 10000) for real training.\n", + "STEPS = 200 # int(os.environ.get(\"STEPS\", \"10\"))\n", + "SAVE_FREQ = int(os.environ.get(\"SAVE_FREQ\", str(STEPS)))\n", + "# Log every step by default so the short workshop run yields a full loss curve (one point per\n", + "# step) to plot below; bump for long runs where per-step logging is too chatty.\n", + "LOG_FREQ = int(os.environ.get(\"LOG_FREQ\", \"1\"))\n", + "# Per-GPU batch size: keep small on a single Strix Halo, larger with more GPUs.\n", + "BATCH_SIZE = int(os.environ.get(\"BATCH_SIZE\", \"2\" if N_GPUS == 1 else \"8\"))\n", + "JOB_NAME = os.environ.get(\"JOB_NAME\", f\"mm2_{FT_MODE}_ws\")\n", + "CKPT_DIR = os.environ.get(\"CHECKPOINTS_DIR\", \"/checkpoints\")\n", + "OUTPUT_DIR = os.path.join(CKPT_DIR, JOB_NAME)\n", + "# The allenai LIBERO dataset ships without LeRobot codebase-version tags; pin a branch.\n", + "DATASET_REVISION = os.environ.get(\"DATASET_REVISION\", \"main\")\n", + "\n", + "# FT_MODE -> --policy.train_mode_vlm : lora (adapters on VLM + trainable action expert),\n", + "# freeze (VLM frozen, action expert only), fft (full fine-tune).\n", + "MODE_ARGS = {\n", + " \"lora_vlm\": [\"--policy.train_mode_vlm=lora\", \"--policy.action_mode=both\"],\n", + " \"action_expert_only\": [\"--policy.train_mode_vlm=freeze\", \"--policy.action_mode=continuous\"],\n", + " \"full\": [\"--policy.train_mode_vlm=fft\", \"--policy.action_mode=both\"],\n", + "}[FT_MODE]\n", + "\n", + "# LeRobot refuses to write into a non-empty output_dir; clean prior workshop reruns.\n", + "if os.path.isdir(OUTPUT_DIR) and os.environ.get(\"CLEAN_OUTPUT\", \"1\") == \"1\":\n", + " shutil.rmtree(OUTPUT_DIR)\n", + "os.makedirs(CKPT_DIR, exist_ok=True)\n", + "\n", + "print(\"=\" * 63)\n", + "print(f\" MolmoAct2 fine-tune | base={BASE_CKPT} mode={FT_MODE}\")\n", + "print(f\" GPUs(procs)={N_GPUS} batch/GPU={BATCH_SIZE} steps={STEPS} save_freq={SAVE_FREQ}\")\n", + "print(f\" output_dir={OUTPUT_DIR}\")\n", + "print(\"=\" * 63)\n", + "\n", + "# The exact accelerate + LeRobot training command, shown inline (no hidden wrapper). The SAME\n", + "# command runs single-GPU on Strix Halo and multi-GPU on an Instinct node (num_processes=N_GPUS).\n", + "cmd = [\n", + " TRAIN_PY,\n", + " \"-m\",\n", + " \"accelerate.commands.launch\",\n", + " f\"--num_processes={N_GPUS}\",\n", + " \"--mixed_precision=bf16\",\n", + " \"-m\",\n", + " \"lerobot.scripts.lerobot_train\",\n", + " f\"--dataset.repo_id={DATASET_REPO}\",\n", + " f\"--dataset.revision={DATASET_REVISION}\",\n", + " \"--dataset.video_backend=pyav\",\n", + " \"--dataset.image_transforms.enable=true\",\n", + " \"--policy.type=molmoact2\",\n", + " f\"--policy.checkpoint_path={BASE_CKPT}\",\n", + " \"--policy.device=cuda\",\n", + " *MODE_ARGS,\n", + " \"--policy.chunk_size=10\",\n", + " \"--policy.n_action_steps=10\",\n", + " \"--policy.setup_type=single franka robotic arm in libero\",\n", + " \"--policy.control_mode=delta end-effector pose\",\n", + " '--policy.image_keys=[\"observation.images.image\",\"observation.images.wrist_image\"]',\n", + " \"--policy.model_dtype=bfloat16\",\n", + " \"--policy.num_flow_timesteps=8\",\n", + " \"--policy.gradient_checkpointing=true\",\n", + " \"--policy.freeze_embedding=true\",\n", + " \"--policy.normalize_gripper=false\",\n", + " \"--policy.enable_knowledge_insulation=false\",\n", + " \"--policy.push_to_hub=false\",\n", + " f\"--wandb.enable={os.environ.get('WANDB_ENABLE', 'false')}\",\n", + " f\"--job_name={JOB_NAME}\",\n", + " f\"--output_dir={OUTPUT_DIR}\",\n", + " f\"--steps={STEPS}\",\n", + " f\"--batch_size={BATCH_SIZE}\",\n", + " f\"--num_workers={os.environ.get('NUM_WORKERS', '4')}\",\n", + " f\"--log_freq={LOG_FREQ}\",\n", + " f\"--eval_freq={STEPS + 1}\",\n", + " \"--save_checkpoint=true\",\n", + " f\"--save_freq={SAVE_FREQ}\",\n", + "]\n", + "loss_pts = run_train(cmd, env=child_env())\n", + "print(f\"PASS: fine-tune finished; checkpoints under {OUTPUT_DIR}/checkpoints/\")\n", + "\n", + "# Loss curve for the run we just did (LeRobot logs one point per --log_freq step). Even a short\n", + "# workshop run should trend downward; raise STEPS for a smoother, more convincing curve.\n", + "import matplotlib.pyplot as plt # inline backend -> renders in the notebook, no Agg/subprocess\n", + "\n", + "if len(loss_pts) >= 2:\n", + " steps, losses = zip(*loss_pts)\n", + " fig, ax = plt.subplots(figsize=(7, 4))\n", + " ax.plot(steps, losses, marker=\"o\", color=\"tab:red\", lw=1.6)\n", + " ax.set_xlabel(\"training step\")\n", + " ax.set_ylabel(\"loss\")\n", + " ax.set_title(f\"LoRA fine-tune loss ({FT_MODE}, {STEPS} steps, batch {BATCH_SIZE}×{N_GPUS})\")\n", + " ax.grid(True, alpha=0.3)\n", + " fig.tight_layout()\n", + " fig.savefig(os.path.join(OUT_DIR, \"finetune_loss.png\"), dpi=110)\n", + " plt.show()\n", + " print(f\"loss: {losses[0]:.4f} -> {losses[-1]:.4f} over {len(losses)} logged step(s)\")\n", + "else:\n", + " print(f\"(captured {len(loss_pts)} loss point(s) - need >=2 to plot; raise STEPS or lower LOG_FREQ)\")" + ], + "execution_count": null, + "outputs": [], + "id": "cab91785" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "# Locate the checkpoint LeRobot just saved (.../checkpoints//pretrained_model). Prefer a\n", + "# real numbered step over the 'last' symlink; if the short run produced nothing (e.g. it was\n", + "# interrupted), fall back to the provided reference checkpoint instead of failing hard.\n", + "REFERENCE = os.environ.get(\"REFERENCE_POLICY\", \"/checkpoints/reference/pretrained_model\")\n", + "cands = sorted(glob.glob(os.path.join(OUTPUT_DIR, \"checkpoints\", \"*\", \"pretrained_model\")))\n", + "cands = [c for c in cands if os.path.basename(os.path.dirname(c)) != \"last\"] or cands\n", + "\n", + "if cands:\n", + " POLICY_PATH = cands[-1]\n", + " print(\"fine-tuned checkpoint (POLICY_PATH):\", POLICY_PATH)\n", + "elif os.path.isdir(REFERENCE):\n", + " POLICY_PATH = REFERENCE\n", + " print(f\"no fine-tune checkpoint under {OUTPUT_DIR}/checkpoints/*; using reference: {POLICY_PATH}\")\n", + "else:\n", + " raise FileNotFoundError(\n", + " f\"no pretrained_model under {OUTPUT_DIR}/checkpoints/* and no reference at {REFERENCE}.\\n\"\n", + " f\"Re-run Step 4 and make sure STEPS >= SAVE_FREQ so a checkpoint is written.\"\n", + " )\n", + "\n", + "POLICY_PATH = \"/checkpoints/reference/pretrained_model\"" + ], + "execution_count": null, + "outputs": [], + "id": "4a9ec56e" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Load the LoRA checkpoint on the DROID base -> LIBERO policy (closed-loop eval)\n", + "\n", + "The fine-tune saved a LeRobot-format checkpoint (`.../pretrained_model`): the DROID base config + the trained LoRA adapter weights + the LIBERO normalization/processor stats. Loading it with `--policy.path` reconstructs the runtime LIBERO policy (base + adapter merged at load), with no `norm_tag` needed. Here we run that policy in the LIBERO MuJoCo simulator (headless EGL on the AMD GPU) and report success.\n", + "\n", + "**This is intentionally tiny.** A LIBERO suite has ~10 tasks and the evaluator runs `N_EPISODES` rollouts *per task*, so a whole suite is `N_EPISODES × 10` MuJoCo rollouts - minutes of stepping. For the workshop we pin a **single task** (`--env.task_ids=[TASK_ID]`) and run just a few episodes, so this cell finishes quickly and is only a smoke-number. a very short LoRA run won't converge, so use the reference checkpoint (last section) for a strong number and full-suite eval offline." + ], + "id": "91a84470" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "# Closed-loop LIBERO eval of the checkpoint (headless EGL on the AMD GPU). The saved processor\n", + "# + normalization stats are restored from the checkpoint via --policy.path (no norm_tag). The\n", + "# exact lerobot-eval command is inline here; a very short LoRA run won't fully converge - use\n", + "# the reference checkpoint (last section) for a strong number.\n", + "SUITE = os.environ.get(\"SUITE\", \"libero_object\")\n", + "# A LIBERO suite has ~10 tasks and the evaluator runs `n_episodes` rollouts PER task, so the\n", + "# full suite is n_episodes x 10. This is only a quick sanity number (the interactive sim is the\n", + "# real demo), so we pin ONE task (TASK_ID) and run a handful of episodes -> ~2-3 rollouts total.\n", + "TASK_ID = os.environ.get(\"TASK_ID\", \"3\")\n", + "N_EPISODES = os.environ.get(\"N_EPISODES\", \"3\")\n", + "SEED = os.environ.get(\"SEED\", \"1000\")\n", + "RUN_DIR = os.path.join(OUT_DIR, f\"_ft_eval_{SUITE}_t{TASK_ID}_seed{SEED}\")\n", + "os.makedirs(RUN_DIR, exist_ok=True)\n", + "\n", + "eval_env = child_env(MUJOCO_GL=\"egl\", PYOPENGL_PLATFORM=\"egl\", OMP_NUM_THREADS=\"1\", MKL_NUM_THREADS=\"1\")\n", + "cmd = [\n", + " \"/opt/train-venv/bin/lerobot-eval\",\n", + " f\"--policy.path={POLICY_PATH}\",\n", + " \"--policy.inference_action_mode=continuous\",\n", + " \"--policy.model_dtype=bfloat16\",\n", + " \"--policy.use_amp=true\",\n", + " \"--policy.enable_inference_cuda_graph=false\",\n", + " \"--policy.device=cuda\",\n", + " \"--policy.per_episode_seed=true\",\n", + " f\"--policy.eval_seed={SEED}\",\n", + " \"--env.type=libero\",\n", + " f\"--env.task={SUITE}\",\n", + " f\"--env.task_ids=[{TASK_ID}]\", # single task -> keep the workshop eval to a few rollouts\n", + " '--env.camera_name_mapping={\"agentview_image\":\"image\",\"robot0_eye_in_hand_image\":\"wrist_image\"}',\n", + " \"--eval.batch_size=1\",\n", + " f\"--eval.n_episodes={N_EPISODES}\",\n", + " f\"--seed={SEED}\",\n", + " f\"--output_dir={os.path.join(RUN_DIR, 'run')}\",\n", + "]\n", + "print(f\"quick closed-loop eval: suite={SUITE} task_id={TASK_ID} -> {N_EPISODES} rollout(s) total\\n\")\n", + "run_cmd(cmd, env=eval_env)\n", + "print(f\"PASS: eval artifacts in {RUN_DIR}\")" + ], + "execution_count": null, + "outputs": [], + "id": "844fc05e" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Reference checkpoint (compelling demo without waiting for a long train)\n", + "\n", + "A short LoRA run demonstrates the *pipeline* but will not fully converge. For a strong sim demo, point `POLICY_PATH` at the provided longer-trained reference checkpoint (organizers supply the path / Hub repo; on this box it is placed under `/checkpoints/reference/pretrained_model`), then re-run sections 5-6:\n", + "\n", + "```python\n", + "POLICY_PATH = \"/checkpoints/reference/pretrained_model\" # or a Hub repo id\n", + "```\n", + "\n", + "Notes:\n", + "- Weights, images and large videos live only on the remote machine (workspace policy). Small eval artifacts land under `/outputs`.\n", + "- To train for real, raise `STEPS` (e.g. 10000) and, on a multi-GPU Instinct node, `BATCH_SIZE`." + ], + "id": "9d5c7aaf" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/projects/Finetuning/tests/test_molmoact2.sh b/projects/Finetuning/tests/test_molmoact2.sh new file mode 100755 index 00000000..3e88c7a2 --- /dev/null +++ b/projects/Finetuning/tests/test_molmoact2.sh @@ -0,0 +1,25 @@ +#!/bin/bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -e + +echo "Testing MolmoAct2 dependencies..." + +python3 - <<'PY' +import sys +import transformers +import accelerate +import huggingface_hub +import einops # noqa: F401 +import fastapi # noqa: F401 +import json_numpy # noqa: F401 +import safetensors # noqa: F401 +import sentencepiece # noqa: F401 + +print(f"transformers : {transformers.__version__}") +print(f"accelerate : {accelerate.__version__}") +print(f"huggingface_hub : {huggingface_hub.__version__}") +print("deps import ok : einops, fastapi, json_numpy, safetensors, sentencepiece") +print("PASS: MolmoAct2 deps OK") +PY diff --git a/projects/Finetuning/tests/test_torch.sh b/projects/Finetuning/tests/test_torch.sh new file mode 100755 index 00000000..a8a83c8c --- /dev/null +++ b/projects/Finetuning/tests/test_torch.sh @@ -0,0 +1,27 @@ +#!/bin/bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -e + +echo "Testing ROCm torch environment..." + +python3 - <<'PY' +import sys +import torch + +print(f"torch : {torch.__version__}") +print(f"torch.version.hip: {torch.version.hip}") +if not torch.version.hip: + print("FAIL: torch is not a ROCm build.", file=sys.stderr) + sys.exit(1) +if not torch.cuda.is_available(): + print("FAIL: no ROCm device visible. Check --device=/dev/kfd, /dev/dri.", file=sys.stderr) + sys.exit(1) + +print(f"device[0] : {torch.cuda.get_device_name(0)}") +a = torch.randn(512, 512, device="cuda") +b = torch.randn(512, 512, device="cuda") +print(f"matmul ok : sum={(a @ b).sum().item():.3f}") +print("PASS: ROCm torch env OK") +PY diff --git a/projects/LocalInference/02_local_inference_with_lemonade.ipynb b/projects/LocalInference/02_local_inference_with_lemonade.ipynb new file mode 100644 index 00000000..132adcc9 --- /dev/null +++ b/projects/LocalInference/02_local_inference_with_lemonade.ipynb @@ -0,0 +1,375 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c707d534", + "metadata": {}, + "source": [ + "# AMD Lemonade\n", + "\n", + "Lemonade is a local inference server that serves a variety of models, including LLMs, VLMs, and speech models (speech-to-text and text-to-speech), on your own hardware through an OpenAI-compatible API. Any tool that supports that API can point to a model running on your machine instead of the cloud. With its ROCm backend, Lemonade offloads models onto the Radeon iGPU, keeping inference fast, private, and entirely on-device.\n", + "\n", + "## Goals\n", + "\n", + "* Learn how to set up your local LLM with Lemonade\n", + "* Run AI inference on an AMD GPU\n", + "\n", + "The first step is to open a terminal session." + ] + }, + { + "cell_type": "markdown", + "id": "126c258f", + "metadata": {}, + "source": [ + "![](images/new_terminal.png)" + ] + }, + { + "cell_type": "markdown", + "id": "66c55d22", + "metadata": {}, + "source": [ + "## Start the Lemonade Server\n", + "\n", + "Before we can run inference, we need to start the Lemonade server and load a model. The server provides an OpenAI-compatible API endpoint that we'll communicate with.\n", + "\n", + "**In a separate terminal**, start the Lemonade server and load a model:\n", + "\n", + "```bash\n", + "lemond &\n", + "lemonade pull Gemma-4-E2B-it-GGUF\n", + "lemonade run Gemma-4-E2B-it-GGUF\n", + "```\n", + "\n", + "`lemonade run` drops you into an interactive chat once the model is loaded. Leave it running and confirm the server is healthy from another terminal:\n", + "\n", + "```bash\n", + "curl http://localhost:13305/api/v1/health\n", + "```\n", + "\n", + "**What this does:**\n", + "- `lemond &` starts the Lemonade server in the background, exposing an OpenAI-compatible API on port `13305`\n", + "- `lemonade pull` downloads the model if not already cached (stored in `~/.cache/lemonade/`)\n", + "- `lemonade run` loads the model into memory on the iGPU (via ROCm) and opens an interactive chat\n", + "- The server is ready to accept text queries for LLM inference\n", + "\n", + "## Open Chat\n", + "\n", + "Lemonade also ships a browser-based chat UI on the same port:\n", + "```\n", + "http://localhost:13305\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "2e55156a", + "metadata": {}, + "source": [ + "#### (Optional) - Find other available models\n", + "```\n", + "lemonade list\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "060fc07c", + "metadata": {}, + "source": [ + "## Test OpenAI API Server Directly\n", + "\n", + "Let's verify the Lemonade server is working correctly by making a direct API call. This helps us understand the request/response format and confirm the model is responding.\n", + "\n", + "The OpenAI-compatible API uses the standard chat completions format." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4499fccf", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "import requests\n", + "\n", + "LEMONADE_SERVER_URL = \"http://localhost:13305/api/v1/chat/completions\"\n", + "MODEL = \"Gemma-4-E2B-it-GGUF\"\n", + "\n", + "\n", + "def ask(question: str):\n", + " \"\"\"Query the local LLM using the OpenAI chat completions format\"\"\"\n", + " payload = {\n", + " \"model\": MODEL,\n", + " \"messages\": [{\"role\": \"user\", \"content\": question}],\n", + " \"temperature\": 0.2,\n", + " \"max_tokens\": 3000,\n", + " }\n", + "\n", + " r = requests.post(LEMONADE_SERVER_URL, json=payload, timeout=120)\n", + " r.raise_for_status()\n", + " resp = r.json()\n", + " return resp[\"choices\"][0][\"message\"][\"content\"]\n", + "\n", + "\n", + "print(ask(\"How can I make a lemonade?\"))" + ] + }, + { + "cell_type": "markdown", + "id": "862b426c", + "metadata": {}, + "source": [ + "### Prompting with an Image (VLM)\n", + "\n", + "Lemonade doesn't just serve text LLMs — Gemma-4-E2B-it-GGUF itself has a vision layer, so the same OpenAI-compatible endpoint and the model we already loaded can accept image (base64) and text queries together, with no separate model needed.\n", + "\n", + "The OpenAI-compatible API accepts images as base64-encoded data URLs inside the message content, alongside the text." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9610eaf9", + "metadata": {}, + "outputs": [], + "source": [ + "import base64\n", + "from pathlib import Path\n", + "\n", + "import cv2\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "def b64_image(image_path: str) -> str:\n", + " \"\"\"Convert image to base64 string\"\"\"\n", + " data = Path(image_path).read_bytes()\n", + " return base64.b64encode(data).decode(\"utf-8\")\n", + "\n", + "\n", + "def ask_with_image(image_path: str, question: str):\n", + " \"\"\"Query the local VLM with an image and question using the OpenAI format\"\"\"\n", + " payload = {\n", + " \"model\": MODEL,\n", + " \"messages\": [\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\"type\": \"text\", \"text\": question},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": f\"data:image/jpeg;base64,{b64_image(image_path)}\"}},\n", + " ],\n", + " }\n", + " ],\n", + " \"temperature\": 0.2,\n", + " \"max_tokens\": 3000,\n", + " }\n", + "\n", + " r = requests.post(LEMONADE_SERVER_URL, json=payload, timeout=120)\n", + " r.raise_for_status()\n", + " resp = r.json()\n", + "\n", + " # Display image alongside the model's answer\n", + " img = cv2.imread(image_path)\n", + " fig, ax = plt.subplots(figsize=(4, 4))\n", + " ax.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))\n", + " ax.set_title(resp[\"choices\"][0][\"message\"][\"content\"])\n", + " ax.axis(\"off\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12cb291b", + "metadata": {}, + "outputs": [], + "source": [ + "ask_with_image(\"images/toucan.jpg\", \"What's in this image? Be concise.\")" + ] + }, + { + "cell_type": "markdown", + "id": "adbbc020", + "metadata": {}, + "source": [ + "### Speech: Text-to-Speech and Transcription (Audio)\n", + "\n", + "Audio isn't attached to a chat message the way images are — Lemonade exposes it through two dedicated endpoints rather than the chat completions endpoint:\n", + "- `POST /api/v1/audio/speech` — text-to-speech (TTS), JSON body in, raw audio bytes out\n", + "- `POST /api/v1/audio/transcriptions` — speech-to-text (STT), multipart/form-data upload, WAV only\n", + "\n", + "**In a separate terminal**, pre-pull the models these endpoints use so that the first call doesn't stall on a cold-start download:\n", + "\n", + "```bash\n", + "lemonade pull kokoro-v1\n", + "lemonade pull Whisper-Base\n", + "```\n", + "\n", + "Let's do a round trip: synthesize a short WAV clip with the TTS endpoint, then feed it straight back into the transcription endpoint to get the text back." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9ab2ee5c", + "metadata": {}, + "outputs": [], + "source": [ + "import io\n", + "\n", + "LEMONADE_SPEECH_URL = \"http://localhost:13305/api/v1/audio/speech\"\n", + "LEMONADE_TRANSCRIBE_URL = \"http://localhost:13305/api/v1/audio/transcriptions\"\n", + "\n", + "# Text-to-speech: synthesize a WAV clip\n", + "tts_payload = {\n", + " \"model\": \"kokoro-v1\",\n", + " \"input\": \"Lemonade also supports speech-to-text and text-to-speech models that can run entirely offline on your own AMD Ryzen AI GPU.\",\n", + " \"response_format\": \"wav\",\n", + "}\n", + "tts_resp = requests.post(LEMONADE_SPEECH_URL, json=tts_payload, timeout=120)\n", + "tts_resp.raise_for_status()\n", + "audio_bytes = tts_resp.content\n", + "\n", + "from IPython.display import Audio, display\n", + "\n", + "display(Audio(data=audio_bytes))\n", + "\n", + "# Speech-to-text: transcribe the WAV clip we just generated\n", + "files = {\"file\": (\"speech.wav\", io.BytesIO(audio_bytes), \"audio/wav\")}\n", + "data = {\"model\": \"Whisper-Base\"}\n", + "stt_resp = requests.post(LEMONADE_TRANSCRIBE_URL, files=files, data=data, timeout=120)\n", + "stt_resp.raise_for_status()\n", + "\n", + "print(stt_resp.json()[\"text\"])" + ] + }, + { + "cell_type": "markdown", + "id": "b23d3884", + "metadata": {}, + "source": [ + "## Try a Different Model\n", + "\n", + "Lemonade's OpenAI-compatible endpoint doesn't change based on which model is loaded — swapping models is just a matter of pulling and running a different one, then pointing the `\"model\"` field of the request at its name. Everything else about the request/response structure stays identical.\n", + "\n", + "**In a separate terminal**, pull and run a smaller, faster model:\n", + "\n", + "```bash\n", + "lemonade pull Llama-3.2-1B-Instruct-GGUF\n", + "lemonade run Llama-3.2-1B-Instruct-GGUF\n", + "```\n", + "\n", + "Now call it with the exact same request shape we've used throughout this notebook — only the `model` field changes:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "05303e10", + "metadata": {}, + "outputs": [], + "source": [ + "payload = {\n", + " \"model\": \"Llama-3.2-1B-Instruct-GGUF\",\n", + " \"messages\": [{\"role\": \"user\", \"content\": \"What is a ROS 2 topic? Be concise.\"}],\n", + " \"temperature\": 0.2,\n", + " \"max_tokens\": 256,\n", + "}\n", + "\n", + "r = requests.post(LEMONADE_SERVER_URL, json=payload, timeout=120)\n", + "r.raise_for_status()\n", + "print(r.json()[\"choices\"][0][\"message\"][\"content\"])" + ] + }, + { + "cell_type": "markdown", + "id": "88161327", + "metadata": {}, + "source": [ + "## Hugging Face Compatibility\n", + "\n", + "(At home) Beyond all the models already available on the Lemonade website, https://lemonade-server.ai/models.html, you may find even more Lemonade-compatible models on Hugging Face. Try downloading and running a few from https://huggingface.co/models — be sure to select the GGUF format in the *Libraries* search box.\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Hugging Face also gives you more flexibility, offering multiple quantization levels for the same model (e.g. `Q4_K_M`, `Q8_0`) that trade off speed, memory, and response quality. A higher quantization level can give noticeably better results for only a modest increase in memory usage.\n", + "\n", + "\n", + "\n", + "To pull a model with a specific quantization, add an optional `:QUANT` suffix (e.g. `unsloth/Qwen3-8B-GGUF:Q4_K_M`):\n", + "\n", + "```bash\n", + "lemonade pull unsloth/Qwen3-8B-GGUF:Q4_K_M\n", + "lemonade run unsloth/Qwen3-8B-GGUF:Q4_K_M\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "2640941f", + "metadata": {}, + "source": [ + "## Key Takeaways\n", + "\n", + "Now you know:\n", + "- How to start the Lemonade server and load a model with `lemond`, `lemonade pull`, and `lemonade run`\n", + "- How to call Lemonade's OpenAI-compatible API directly for text, image (VLM), and audio (TTS/STT) queries\n", + "- How to swap models with minor code changes while the server is running\n", + "- How to pull additional GGUF models at different quantization levels\n", + "\n", + "## What to Try Next\n", + "\n", + "- Swap in a different chat or vision model and compare response quality and speed\n", + "- Test the LLM in one of your own local projects and analyze the agentic automation\n", + "- Adjust `temperature` (0.2 → 1.0) to see how much the answers vary, and raise or lower `max_tokens` to see where responses get cut off\n", + "- Prompt the VLM with your own image\n", + "- Try a different TTS voice, or a larger Whisper model for more accurate transcription\n", + "- Pull a model at a different quantization level and compare memory usage and response quality" + ] + }, + { + "cell_type": "markdown", + "id": "4938ed83", + "metadata": {}, + "source": [ + "## References\n", + "\n", + "* [Lemonade](https://lemonade-server.ai/)\n", + "* [Hugging Face Models](https://huggingface.co/models)" + ] + }, + { + "cell_type": "markdown", + "id": "2706aadf", + "metadata": {}, + "source": [ + "**Continue to:** [03_robot_agents.ipynb](03_robot_agents.ipynb)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/projects/LocalInference/README.md b/projects/LocalInference/README.md new file mode 100644 index 00000000..180cf67c --- /dev/null +++ b/projects/LocalInference/README.md @@ -0,0 +1,14 @@ +# ROSCon 2026: Local Robot Inference + +Open `02_local_inference_with_lemonade.ipynb`. + +Environment checks: + +```bash +/ryzers/test_ros.sh +/ryzers/test_o3de.sh +/ryzers/test_rai.sh +/ryzers/test_lemonade-sdk.sh +``` + +Lemonade models are cached under `~/.cache/lemonade`. diff --git a/projects/LocalInference/images/different_quantizations.png b/projects/LocalInference/images/different_quantizations.png new file mode 100644 index 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All rights reserved. +# SPDX-License-Identifier: MIT + +echo "Running tests for lemonade-sdk..." +echo "================================" + +# Use a small model for fast testing +MODEL="Llama-3.2-1B-Instruct-GGUF" +# v10.x default lemond port +PORT=13305 + +# Start the lemond server in the background. Upstream v10.x split the CLI: +# `lemond` runs the server; `lemonade` is the client CLI (pull/list/etc). +echo "" +echo "Starting lemond on default port ${PORT}..." +lemond > /tmp/lemonade.log 2>&1 & +SERVER_PID=$! + +cleanup() { + echo "" + echo "Stopping server..." + kill $SERVER_PID 2>/dev/null + sleep 1 + pkill -9 lemond 2>/dev/null +} +trap cleanup EXIT + +# Wait for server to be ready +echo "Waiting for server to be ready..." +for i in {1..60}; do + if curl -s http://localhost:$PORT/api/v1/health > /dev/null 2>&1; then + echo "Server is ready!" + break + fi + if [ $i -eq 60 ]; then + echo "Server failed to start!" + cat /tmp/lemonade.log + exit 1 + fi + sleep 1 +done + +# Pull the model +echo "" +echo "Pulling model $MODEL..." +lemonade pull $MODEL || { + echo "Pull failed; the server may still be able to lazy-load on first request." +} + +sleep 2 + +# Test the API with an actual completion request +echo "" +echo "Testing completion API with model $MODEL..." +RESPONSE=$(curl -s -X POST http://localhost:$PORT/api/v1/completions -H "Content-Type: application/json" -d '{ + "model": "'$MODEL'", + "prompt": "Why is the sky blue?", + "max_tokens": 100, + "temperature": 0.7 + }') + +echo "Raw API Response:" +echo "$RESPONSE" | python3 -m json.tool || echo "$RESPONSE" + +if echo "$RESPONSE" | grep -q "choices"; then + echo "" + echo "================================" + echo "✓ lemonade-sdk API test passed!" + exit 0 +else + echo "" + echo "✗ API test failed - no valid completion received" + exit 1 +fi diff --git a/projects/LocalInference/tests/test_o3de.sh b/projects/LocalInference/tests/test_o3de.sh new file mode 100755 index 00000000..62451851 --- /dev/null +++ b/projects/LocalInference/tests/test_o3de.sh @@ -0,0 +1,39 @@ +#!/bin/bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -e + +echo "Testing O3DE installation..." + +# Verify o3de is installed +if ! command -v o3de &> /dev/null; then + echo "FAIL: o3de command not found" + exit 1 +fi + +echo "o3de found at: $(which o3de)" + +# Check o3de version/help (non-blocking) +echo "Checking O3DE CLI..." +o3de --help > /dev/null 2>&1 || true + +# Verify critical O3DE components exist +echo "Verifying O3DE installation paths..." +O3DE_PATH="/opt/O3DE" +if [[ -d "$O3DE_PATH" ]]; then + echo "O3DE installed at: $O3DE_PATH" +else + echo "Warning: O3DE path not found at $O3DE_PATH" +fi + +# Check for Vulkan support +echo "Checking Vulkan support..." +if command -v vulkaninfo &> /dev/null; then + vulkaninfo --summary 2>/dev/null | head -20 || echo "Vulkan info not available (may need GPU)" +else + echo "vulkaninfo not found" +fi + +echo "SUCCESS: O3DE installation test passed" +exit 0 diff --git a/projects/LocalInference/tests/test_rai.sh b/projects/LocalInference/tests/test_rai.sh new file mode 100755 index 00000000..0b9e2103 --- /dev/null +++ b/projects/LocalInference/tests/test_rai.sh @@ -0,0 +1,55 @@ +#!/bin/bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -e + +echo "==========================================" +echo "RAI Framework Test" +echo "==========================================" + +# Source ROS environment (ROS_DISTRO set by ros package) +if [ -n "$ROS_DISTRO" ]; then + source /opt/ros/${ROS_DISTRO}/setup.bash + echo "ROS 2 ${ROS_DISTRO} environment sourced" +else + echo "Warning: ROS_DISTRO not set." +fi + +# Test RAI core import +echo "" +echo "Testing RAI core import..." +PYTHONWARNINGS=ignore python3 -c " +from rai.agents import AgentRunner, ReActAgent +from rai.initialization import get_llm_model +print('RAI core imports successful!') +print(' - AgentRunner: available') +print(' - ReActAgent: available') +print(' - get_llm_model: available') +" + +# Test RAI whoami import +echo "" +echo "Testing RAI whoami import..." +python3 -c " +from rai_whoami import EmbodimentInfo, Pipeline, PipelineBuilder +print('RAI whoami imports successful!') +print(' - EmbodimentInfo: available') +print(' - Pipeline: available') +print(' - PipelineBuilder: available') +" + +# Check ROS 2 tools +echo "" +echo "Testing ROS 2 integration..." +ros2 --help > /dev/null 2>&1 && echo "ROS 2 CLI: available" + +# Print versions +echo "" +echo "==========================================" +echo "Version Information" +echo "==========================================" +RAI_VERSION=$(grep '^version' /ryzers/rai/src/rai_core/pyproject.toml | head -1 | cut -d'"' -f2) +echo "RAI version: ${RAI_VERSION}" +echo "ROS 2 distro: ${ROS_DISTRO}" +python3 --version diff --git a/projects/LocalInference/tests/test_ros.sh b/projects/LocalInference/tests/test_ros.sh new file mode 100755 index 00000000..c50b3bdb --- /dev/null +++ b/projects/LocalInference/tests/test_ros.sh @@ -0,0 +1,37 @@ +#!/bin/bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -e + +echo "Testing ROS 2 installation..." + +# Source ROS environment +source /opt/ros/${ROS_DISTRO}/setup.bash + +echo "ROS_DISTRO: ${ROS_DISTRO}" +echo "ROS_VERSION: ${ROS_VERSION}" + +# Verify ros2 command exists +if ! command -v ros2 &> /dev/null; then + echo "FAIL: ros2 command not found" + exit 1 +fi + +echo "ros2 found at: $(which ros2)" + +# Check ROS 2 daemon +echo "Checking ROS 2 daemon..." +ros2 daemon status || ros2 daemon start || true + +# List available packages +echo "Listing installed ROS 2 packages..." +ros2 pkg list | head -20 +echo "... (truncated, $(ros2 pkg list | wc -l) total packages)" + +# Test basic ROS 2 functionality +echo "Testing ros2 topic list..." +timeout 5s ros2 topic list 2>/dev/null || echo "No topics (expected without running nodes)" + +echo "SUCCESS: ROS 2 installation test passed" +exit 0 diff --git a/runtime/values.yaml b/runtime/values.yaml index d1455e20..f4f0c1ee 100644 --- a/runtime/values.yaml +++ b/runtime/values.yaml @@ -284,12 +284,15 @@ custom: Course-DL: "ghcr.io/amdresearch/auplc-dl:latest" Course-LLM: "ghcr.io/amdresearch/auplc-llm:latest" Course-PhySim: "ghcr.io/amdresearch/auplc-physim:latest" + Course-Finetuning: "ghcr.io/amdresearch/auplc-finetuning:latest" + Course-LocalInference: "ghcr.io/amdresearch/auplc-localinference:latest" # Custom-URL: "ghcr.io/amdresearch/auplc-cv:latest" # Optional spawn/Home group display order. Groups not listed here are shown # after these entries using the default alphabetical order. # Example: move DEVELOPMENT before COURSE by listing DEVELOPMENT first. groupOrder: + - ROSCON 2026 - TEACHING LABS - DEVELOPMENT ENVIRONMENTS - TUTORIALS @@ -328,6 +331,14 @@ custom: cpu: "0" memory: "0Gi" amd.com/gpu: "1" + Course-Finetuning: + cpu: "0" + memory: "0Gi" + amd.com/gpu: "1" + Course-LocalInference: + cpu: "0" + memory: "0Gi" + amd.com/gpu: "1" none: cpu: "0" memory: "0Gi" @@ -420,6 +431,24 @@ custom: - strix-halo defaultPath: "/opt/workspace/PhySim" resourceType: "notebook" + Course-Finetuning: + group: "ROSCON 2026" + description: "VLA Finetuning (MolmoAct2)" + subDescription: "Fine-tune MolmoAct2 policies with ROCm" + accelerator: "GPU" + acceleratorKeys: + - strix-halo + defaultPath: "/ryzers/notebooks" + resourceType: "notebook" + Course-LocalInference: + group: "ROSCON 2026" + description: "Local Robot Inference (RAI + Lemonade)" + subDescription: "Run local models with ROS 2 and RAI" + accelerator: "GPU" + acceleratorKeys: + - strix-halo + defaultPath: "/ryzers/notebooks" + resourceType: "notebook" # ============================================================================ # Team Permission Configuration @@ -436,6 +465,8 @@ custom: - Course-DL - Course-LLM - Course-PhySim + - Course-Finetuning + - Course-LocalInference official: - cpu - gpu @@ -445,11 +476,15 @@ custom: - Course-DL - Course-LLM - Course-PhySim + - Course-Finetuning + - Course-LocalInference AUP: - Course-CV - Course-DL - Course-LLM - Course-PhySim + - Course-Finetuning + - Course-LocalInference native-users: - code-cpu - code-gpu @@ -457,6 +492,8 @@ custom: - Course-DL - Course-LLM - Course-PhySim + - Course-Finetuning + - Course-LocalInference - cpu - gpu github-users: @@ -468,6 +505,8 @@ custom: - Course-DL - Course-LLM - Course-PhySim + - Course-Finetuning + - Course-LocalInference # ============================================================================ # Quota Management @@ -588,7 +627,7 @@ singleuser: securityContext: fsGroup: 100 supplementalGroups: - - 993 # render group for ROCm GPU access + - 990 # render group for ROCm GPU access storage: dynamic: diff --git a/scripts/verify-resource-contracts.py b/scripts/verify-resource-contracts.py index bf873ec9..0e7fa392 100644 --- a/scripts/verify-resource-contracts.py +++ b/scripts/verify-resource-contracts.py @@ -27,6 +27,8 @@ "Course-DL", "Course-LLM", "Course-PhySim", + "Course-Finetuning", + "Course-LocalInference", ) CODE_SERVER_START_SCRIPT = "/usr/local/bin/start-code-server.sh" diff --git a/tests/installer/test_catalog.py b/tests/installer/test_catalog.py index eb26d164..dd8bd89d 100644 --- a/tests/installer/test_catalog.py +++ b/tests/installer/test_catalog.py @@ -103,8 +103,8 @@ def test_gpu_image_basenames_only_returns_gpu_required() -> None: def test_make_targets_includes_every_selected_course() -> None: - sel = CourseSelection(picks=["cpu", "code-cpu", "Course-DL"]) - assert sel.make_targets() == ["base-cpu", "code-cpu", "dl"] + sel = CourseSelection(picks=["cpu", "code-cpu", "Course-DL", "Course-Finetuning", "Course-LocalInference"]) + assert sel.make_targets() == ["base-cpu", "code-cpu", "dl", "finetuning", "local-inference"] def test_description_default() -> None: diff --git a/tests/installer/test_overlay.py b/tests/installer/test_overlay.py index 7d1d1c9f..de65c757 100644 --- a/tests/installer/test_overlay.py +++ b/tests/installer/test_overlay.py @@ -113,6 +113,8 @@ def test_resource_images_use_primary_tag() -> None: assert images["code-gpu"] == "ghcr.io/amdresearch/auplc-code-gpu:v1.0-gfx1151" assert images["Course-CV"] == "ghcr.io/amdresearch/auplc-cv:v1.0-gfx1151" assert images["Course-PhySim"] == "ghcr.io/amdresearch/auplc-physim:v1.0-gfx1151" + assert images["Course-Finetuning"] == "ghcr.io/amdresearch/auplc-finetuning:v1.0-gfx1151" + assert images["Course-LocalInference"] == "ghcr.io/amdresearch/auplc-localinference:v1.0-gfx1151" def test_curated_sku_with_product_name_emits_node_selector() -> None: diff --git a/tests/scripts/test_verify_resource_contracts.py b/tests/scripts/test_verify_resource_contracts.py index 6611c873..e7ba5772 100644 --- a/tests/scripts/test_verify_resource_contracts.py +++ b/tests/scripts/test_verify_resource_contracts.py @@ -34,6 +34,8 @@ def load_verifier(): "Course-DL": "/opt/workspace/DL", "Course-LLM": "/opt/workspace/LLM", "Course-PhySim": "/opt/workspace/PhySim", + "Course-Finetuning": "/ryzers/notebooks", + "Course-LocalInference": "/ryzers/notebooks", } From e802ae355280f686bf2801a14fbeb28d8acf9f4c Mon Sep 17 00:00:00 2001 From: skalade Date: Sun, 2 Aug 2026 18:13:37 -0600 Subject: [PATCH 02/35] fix: enable MolmoAct2 training Co-authored-by: Cursor --- dockerfiles/Courses/Finetuning/Dockerfile | 30 ++++-- .../finetune_molmoact2_libero.ipynb | 16 ++-- projects/Finetuning/tests/test_molmoact2.sh | 94 +++++++++++++++++-- runtime/hub/core/spawner/kubernetes.py | 2 +- 4 files changed, 119 insertions(+), 23 deletions(-) diff --git a/dockerfiles/Courses/Finetuning/Dockerfile b/dockerfiles/Courses/Finetuning/Dockerfile index 0313c61c..bf731e58 100644 --- a/dockerfiles/Courses/Finetuning/Dockerfile +++ b/dockerfiles/Courses/Finetuning/Dockerfile @@ -8,7 +8,7 @@ USER root SHELL ["/bin/bash", "-c"] ARG MOLMOACT2_COMMIT=cdf4b7728e0545366bf3366639fd86477ef59d04 -ARG LEROBOT_REF=molmoact2-hf-inference +ARG LEROBOT_COMMIT=a4f15bf347dee7eb8a8c5f4a70a37f476b091113 ENV DEBIAN_FRONTEND=noninteractive \ HF_HUB_DISABLE_TELEMETRY=1 \ @@ -32,8 +32,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ RUN git clone https://github.com/allenai/molmoact2 /opt/molmoact2 \ && git -C /opt/molmoact2 checkout "${MOLMOACT2_COMMIT}" \ - && git clone --branch "${LEROBOT_REF}" --depth 1 \ - https://github.com/allenai/lerobot.git /opt/lerobot-allenai + && mkdir -p /opt/lerobot-allenai \ + && git -C /opt/lerobot-allenai init \ + && git -C /opt/lerobot-allenai remote add origin https://github.com/allenai/lerobot.git \ + && git -C /opt/lerobot-allenai fetch --depth 1 origin "${LEROBOT_COMMIT}" \ + && git -C /opt/lerobot-allenai checkout --detach FETCH_HEAD # Keep the ROCm torch supplied by auplc-base while installing the MolmoAct2 # training and headless LIBERO stacks in the environment used by Jupyter. @@ -43,7 +46,7 @@ print('torch==' + version('torch')); \ print('torchvision==' + version('torchvision')); \ print('torchaudio==' + version('torchaudio'))" > /opt/torch-constraints.txt \ && PIP_CONSTRAINT=/opt/torch-constraints.txt /opt/train-venv/bin/pip install --no-cache-dir \ - "/opt/lerobot-allenai[libero]" \ + "/opt/lerobot-allenai[libero,molmoact2,training]" \ "accelerate>=1.0" \ "av>=12" \ "einops>=0.7" \ @@ -59,7 +62,19 @@ print('torchaudio==' + version('torchaudio'))" > /opt/torch-constraints.txt \ "uvicorn[standard]>=0.35" \ && /opt/train-venv/bin/pip install --no-cache-dir --ignore-installed --no-deps opencv-python \ && /opt/train-venv/bin/python -c \ - "import torch, lerobot, transformers, robosuite, mujoco; assert torch.version.hip; print('MolmoAct2 training environment OK:', torch.__version__, transformers.__version__)" + "import torch, lerobot, transformers, robosuite, mujoco; assert torch.version.hip; assert lerobot.__version__ == '0.5.2'; print('MolmoAct2 training environment OK:', torch.__version__, transformers.__version__, lerobot.__version__)" \ + && rm -f /tmp/robosuite.log + +# Seed LIBERO non-interactively and bake its simulator assets outside HOME. +# JupyterHub mounts a persistent volume over /home/jovyan, so image content +# stored there would be hidden and the first eval would prompt or redownload. +RUN mkdir -p /opt/libero-config \ + && printf 'N\n' | LIBERO_CONFIG_PATH=/opt/libero-config \ + /opt/train-venv/bin/python -c "import libero.libero" \ + && LIBERO_CONFIG_PATH=/opt/libero-config \ + /opt/train-venv/bin/python -c \ + "from libero.libero import get_libero_path; from libero.libero.utils.download_utils import download_assets_from_huggingface as download; download(get_libero_path('assets'))" \ + && rm -f /tmp/robosuite.log RUN mkdir -p \ /home/jovyan/.cache/huggingface \ @@ -67,9 +82,7 @@ RUN mkdir -p \ /home/jovyan/outputs \ /ryzers/notebooks COPY ./course_data /ryzers/notebooks -RUN ln -s /ryzers/notebooks/tests/test_torch.sh /ryzers/test_torch.sh \ - && ln -s /ryzers/notebooks/tests/test_molmoact2.sh /ryzers/test_molmoact2.sh \ - && chown -R jovyan:100 \ +RUN chown -R jovyan:100 \ /home/jovyan/.cache \ /home/jovyan/checkpoints \ /home/jovyan/outputs \ @@ -78,6 +91,7 @@ RUN ln -s /ryzers/notebooks/tests/test_torch.sh /ryzers/test_torch.sh \ ENV HOME=/home/jovyan \ PATH="/opt/train-venv/bin:${PATH}" \ HF_HOME=/home/jovyan/.cache/huggingface \ + LIBERO_CONFIG_PATH=/opt/libero-config \ DROID_SERVER_DIR=/opt/molmoact2/examples/droid \ OUT_DIR=/home/jovyan/outputs \ CHECKPOINTS_DIR=/home/jovyan/checkpoints \ diff --git a/projects/Finetuning/finetune_molmoact2_libero.ipynb b/projects/Finetuning/finetune_molmoact2_libero.ipynb index b0608a67..8cbe45b5 100644 --- a/projects/Finetuning/finetune_molmoact2_libero.ipynb +++ b/projects/Finetuning/finetune_molmoact2_libero.ipynb @@ -556,7 +556,7 @@ "# Workshop default: just 10 steps to prove the loop end to end. SAVE_FREQ defaults to STEPS,\n", "# so a checkpoint reliably lands at the final step (this is what Step 5 loads). Raise STEPS\n", "# (e.g. 10000) for real training.\n", - "STEPS = 200 # int(os.environ.get(\"STEPS\", \"10\"))\n", + "STEPS = int(os.environ.get(\"STEPS\", \"10\"))\n", "SAVE_FREQ = int(os.environ.get(\"SAVE_FREQ\", str(STEPS)))\n", "# Log every step by default so the short workshop run yields a full loss curve (one point per\n", "# step) to plot below; bump for long runs where per-step logging is too chatty.\n", @@ -662,7 +662,9 @@ "# Locate the checkpoint LeRobot just saved (.../checkpoints//pretrained_model). Prefer a\n", "# real numbered step over the 'last' symlink; if the short run produced nothing (e.g. it was\n", "# interrupted), fall back to the provided reference checkpoint instead of failing hard.\n", - "REFERENCE = os.environ.get(\"REFERENCE_POLICY\", \"/checkpoints/reference/pretrained_model\")\n", + "REFERENCE = os.environ.get(\n", + " \"REFERENCE_POLICY\", os.path.join(CKPT_DIR, \"reference\", \"pretrained_model\")\n", + ")\n", "cands = sorted(glob.glob(os.path.join(OUTPUT_DIR, \"checkpoints\", \"*\", \"pretrained_model\")))\n", "cands = [c for c in cands if os.path.basename(os.path.dirname(c)) != \"last\"] or cands\n", "\n", @@ -676,9 +678,7 @@ " raise FileNotFoundError(\n", " f\"no pretrained_model under {OUTPUT_DIR}/checkpoints/* and no reference at {REFERENCE}.\\n\"\n", " f\"Re-run Step 4 and make sure STEPS >= SAVE_FREQ so a checkpoint is written.\"\n", - " )\n", - "\n", - "POLICY_PATH = \"/checkpoints/reference/pretrained_model\"" + " )" ], "execution_count": null, "outputs": [], @@ -748,14 +748,14 @@ "source": [ "## Reference checkpoint (compelling demo without waiting for a long train)\n", "\n", - "A short LoRA run demonstrates the *pipeline* but will not fully converge. For a strong sim demo, point `POLICY_PATH` at the provided longer-trained reference checkpoint (organizers supply the path / Hub repo; on this box it is placed under `/checkpoints/reference/pretrained_model`), then re-run sections 5-6:\n", + "A short LoRA run demonstrates the *pipeline* but will not fully converge. For a strong sim demo, point `POLICY_PATH` at the provided longer-trained reference checkpoint (organizers supply the path / Hub repo; in this image it is placed under `~/checkpoints/reference/pretrained_model`), then re-run section 5:\n", "\n", "```python\n", - "POLICY_PATH = \"/checkpoints/reference/pretrained_model\" # or a Hub repo id\n", + "POLICY_PATH = os.path.expanduser(\"~/checkpoints/reference/pretrained_model\") # or a Hub repo id\n", "```\n", "\n", "Notes:\n", - "- Weights, images and large videos live only on the remote machine (workspace policy). Small eval artifacts land under `/outputs`.\n", + "- Weights, images and large videos live only on the remote machine (workspace policy). Small eval artifacts land under `~/outputs`.\n", "- To train for real, raise `STEPS` (e.g. 10000) and, on a multi-GPU Instinct node, `BATCH_SIZE`." ], "id": "9d5c7aaf" diff --git a/projects/Finetuning/tests/test_molmoact2.sh b/projects/Finetuning/tests/test_molmoact2.sh index 3e88c7a2..ed1e1303 100755 --- a/projects/Finetuning/tests/test_molmoact2.sh +++ b/projects/Finetuning/tests/test_molmoact2.sh @@ -2,24 +2,106 @@ # Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. # SPDX-License-Identifier: MIT -set -e +set -euo pipefail -echo "Testing MolmoAct2 dependencies..." +echo "Testing MolmoAct2 inference and training stack..." python3 - <<'PY' +import os +import subprocess import sys -import transformers +from pathlib import Path + import accelerate -import huggingface_hub import einops # noqa: F401 import fastapi # noqa: F401 +import huggingface_hub import json_numpy # noqa: F401 +import lerobot +import mujoco +import robosuite import safetensors # noqa: F401 import sentencepiece # noqa: F401 +import torch +import transformers +from packaging.version import Version + +from lerobot.envs.libero import _get_suite +from lerobot.policies.molmoact2.configuration_molmoact2 import MolmoAct2Config +from lerobot.policies.molmoact2.modeling_molmoact2 import MolmoAct2Policy # noqa: F401 +from libero.libero import get_assets_path, get_libero_path + +sys.path.insert(0, os.environ["DROID_SERVER_DIR"]) +from host_server_droid import NORM_TAG, Policy # noqa: E402 + +assert torch.version.hip, f"torch is not a ROCm build: {torch.__version__}" +assert lerobot.__version__ == "0.5.2", lerobot.__version__ +assert Version("5.4") <= Version(transformers.__version__) < Version("5.6") +assert Policy.__name__ == "Policy" and NORM_TAG + +cfg = MolmoAct2Config( + checkpoint_path="allenai/MolmoAct2-DROID", + train_mode_vlm="lora", + action_mode="both", + chunk_size=10, + n_action_steps=10, + setup_type="single franka robotic arm in libero", + control_mode="delta end-effector pose", + image_keys=[ + "observation.images.image", + "observation.images.wrist_image", + ], + model_dtype="bfloat16", + num_flow_timesteps=8, + gradient_checkpointing=True, + freeze_embedding=True, + normalize_gripper=False, + enable_knowledge_insulation=False, + push_to_hub=False, +) +assert cfg.train_mode_vlm == "lora" +assert cfg.action_mode == "both" + +for key in ("benchmark_root", "bddl_files", "init_states"): + assert Path(get_libero_path(key)).exists(), (key, get_libero_path(key)) +assert Path(get_assets_path()).exists(), get_assets_path() +suite = _get_suite("libero_object") +assert len(suite.tasks) == 10 + +help_result = subprocess.run( + [ + sys.executable, + "-m", + "lerobot.scripts.lerobot_train", + "--policy.type=molmoact2", + "--help", + ], + check=True, + text=True, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, +) +required_flags = { + "--policy.train_mode_vlm", + "--policy.setup_type", + "--policy.control_mode", + "--policy.image_keys", + "--policy.model_dtype", + "--policy.num_flow_timesteps", + "--policy.freeze_embedding", + "--policy.normalize_gripper", + "--policy.enable_knowledge_insulation", +} +missing = sorted(flag for flag in required_flags if flag not in help_result.stdout) +assert not missing, f"MolmoAct2 training CLI is missing: {missing}" +print(f"python : {sys.executable}") +print(f"torch : {torch.__version__}") +print(f"lerobot : {lerobot.__version__}") print(f"transformers : {transformers.__version__}") print(f"accelerate : {accelerate.__version__}") print(f"huggingface_hub : {huggingface_hub.__version__}") -print("deps import ok : einops, fastapi, json_numpy, safetensors, sentencepiece") -print("PASS: MolmoAct2 deps OK") +print(f"robosuite/mujoco : {robosuite.__version__} / {mujoco.__version__}") +print(f"libero tasks : {len(suite.tasks)}") +print("PASS: MolmoAct2 inference, training CLI, and LIBERO metadata OK") PY diff --git a/runtime/hub/core/spawner/kubernetes.py b/runtime/hub/core/spawner/kubernetes.py index e9d57fbd..bf19f913 100644 --- a/runtime/hub/core/spawner/kubernetes.py +++ b/runtime/hub/core/spawner/kubernetes.py @@ -897,7 +897,7 @@ async def start(self): """Start the spawner and schedule automatic shutdown.""" # Ensure pod fails immediately (not retried) when an init container fails. # JupyterHub manages pod lifecycle; Kubernetes should not silently restart pods. - self.extra_pod_config = {"restartPolicy": "Never"} + self.extra_pod_config["restartPolicy"] = "Never" runtime_minutes = self.user_options.get("runtime_minutes", 20) resource_type = self.user_options.get("resource_type", "cpu") From 1ddd60df4585c72d5678a8a7a215b5ba64fe44fa Mon Sep 17 00:00:00 2001 From: skalade Date: Mon, 3 Aug 2026 10:49:16 -0600 Subject: [PATCH 03/35] add latest local inference updates from Joao --- dockerfiles/Courses/LocalInference/Dockerfile | 35 +- .../02_local_inference_with_lemonade.ipynb | 161 ++++++- projects/LocalInference/03_robot_agents.ipynb | 454 ++++++++++++++++++ projects/LocalInference/README.md | 8 +- projects/LocalInference/images/toucan.jpg | Bin 0 -> 451215 bytes projects/LocalInference/lemonade_env.sh | 31 ++ .../manipulation_demo_headless.sh | 72 +++ .../manipulation_demo_streamlit.py | 75 +++ projects/LocalInference/tests/test_rai.sh | 25 + 9 files changed, 835 insertions(+), 26 deletions(-) create mode 100644 projects/LocalInference/03_robot_agents.ipynb create mode 100644 projects/LocalInference/images/toucan.jpg create mode 100755 projects/LocalInference/lemonade_env.sh create mode 100755 projects/LocalInference/manipulation_demo_headless.sh create mode 100644 projects/LocalInference/manipulation_demo_streamlit.py diff --git a/dockerfiles/Courses/LocalInference/Dockerfile b/dockerfiles/Courses/LocalInference/Dockerfile index e0e1fad8..bd7724d5 100644 --- a/dockerfiles/Courses/LocalInference/Dockerfile +++ b/dockerfiles/Courses/LocalInference/Dockerfile @@ -75,6 +75,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ xwayland \ && rm -rf /var/lib/apt/lists/* +# Proxy the RAI Streamlit UI and camera stream through each JupyterHub user's +# existing notebook-server route. +RUN /usr/bin/python3 -m pip install --no-cache-dir --break-system-packages \ + jupyter-server-proxy + ENV CARGO_HOME=/opt/cargo \ RUSTUP_HOME=/opt/rustup \ PATH="/opt/cargo/bin:/opt/rai-venv/bin:${PATH}" @@ -107,7 +112,7 @@ print('torchaudio==' + version('torchaudio'))" > /opt/torch-constraints.txt \ "setuptools<82" \ "empy<4" \ && PIP_CONSTRAINT=/opt/torch-constraints.txt /opt/rai-venv/bin/pip install \ - --no-cache-dir --no-build-isolation openai-whisper==20231117 + --no-cache-dir --no-build-isolation openai-whisper==20250625 WORKDIR /ryzers/rai RUN sed -i \ @@ -120,10 +125,29 @@ RUN sed -i \ && rosdep install \ --from-paths src/examples/rai-manipulation-demo/ros2_ws/src \ --ignore-src -r -y \ + && . ./scripts/download_demo.sh manipulation \ && . /opt/ros/${ROS_DISTRO}/setup.sh \ && colcon build --symlink-install \ && PIP_CONSTRAINT=/opt/torch-constraints.txt pip install --no-cache-dir \ - src/rai_bench src/rai_sim rai-perception \ + src/rai_bench src/rai_sim \ + && PIP_CONSTRAINT=/opt/torch-constraints.txt pip install --no-cache-dir \ + "rai-gsam2>=1.1.2,<2" \ + "rf-groundingdino>=0.2.0,<0.3" \ + "scikit-learn>=1.0,<1.4" \ + "transformers<5" \ + && PIP_CONSTRAINT=/opt/torch-constraints.txt pip install --no-cache-dir \ + --no-deps rai-perception==0.3.0 \ + && RAI_PERCEPTION_DIR="$(python3 -c \ + 'from pathlib import Path; import rai_perception; print(Path(rai_perception.__file__).parent)')" \ + && sed -i \ + 's|Path.home() / Path(".cache/rai/")|Path("/opt/rai-cache")|g' \ + "${RAI_PERCEPTION_DIR}/agents/base_vision_agent.py" \ + "${RAI_PERCEPTION_DIR}/services/base_vision_service.py" \ + && sed -i \ + 's|Path.home() / Path(".cache/rai")|Path("/opt/rai-cache")|g' \ + "${RAI_PERCEPTION_DIR}/services/segmentation_service.py" \ + && mkdir -p /opt/rai-cache \ + && download-perception-models \ && python3 -c \ "import torch; assert torch.version.hip, 'RAI dependencies replaced ROCm torch'; print('RAI ROCm environment OK:', torch.__version__)" @@ -147,11 +171,18 @@ RUN getent group audio >/dev/null || groupadd audio \ && printf '[general]\nemail = ""\n' > /home/jovyan/.streamlit/credentials.toml COPY ./course_data /ryzers/notebooks +COPY ./course_data/lemonade_env.sh \ + ./course_data/manipulation_demo_headless.sh \ + ./course_data/manipulation_demo_streamlit.py \ + /ryzers/ RUN ln -s /ryzers/notebooks/tests/test_ros.sh /ryzers/test_ros.sh \ && ln -s /ryzers/notebooks/tests/test_o3de.sh /ryzers/test_o3de.sh \ && ln -s /ryzers/notebooks/tests/test_rai.sh /ryzers/test_rai.sh \ && ln -s /ryzers/notebooks/tests/test_lemonade-sdk.sh /ryzers/test_lemonade-sdk.sh \ + && chmod +x \ + /ryzers/lemonade_env.sh \ + /ryzers/manipulation_demo_headless.sh \ && chown -R jovyan:100 \ /home/jovyan/.cache \ /home/jovyan/.streamlit \ diff --git a/projects/LocalInference/02_local_inference_with_lemonade.ipynb b/projects/LocalInference/02_local_inference_with_lemonade.ipynb index 132adcc9..12f707f2 100644 --- a/projects/LocalInference/02_local_inference_with_lemonade.ipynb +++ b/projects/LocalInference/02_local_inference_with_lemonade.ipynb @@ -87,26 +87,95 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "4499fccf", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making lemonade is incredibly easy and refreshing! Here is a classic recipe, followed by tips for customizing your perfect batch.\n", + "\n", + "---\n", + "\n", + "## 🍋 Classic Homemade Lemonade Recipe\n", + "\n", + "This recipe focuses on balancing the tartness of the lemon with the sweetness of sugar.\n", + "\n", + "### Ingredients\n", + "\n", + "* **Lemons:** 6–8 medium lemons (you will need about 1 to 1.5 cups of fresh juice)\n", + "* **Sugar:** 1 cup granulated sugar (adjust to taste)\n", + "* **Water:** 6 cups cold water\n", + "* **Optional:** Ice cubes, garnish (lemon slices, mint)\n", + "\n", + "### Equipment\n", + "\n", + "* Citrus juicer (or a knife and bowl)\n", + "* Large pitcher\n", + "* Measuring cups and spoons\n", + "\n", + "### Instructions\n", + "\n", + "#### Step 1: Prepare the Lemon Juice\n", + "1. Wash your lemons thoroughly.\n", + "2. Cut the lemons in half and squeeze them to extract the juice.\n", + "3. Measure out the fresh lemon juice and set it aside. (If you prefer a smoother lemonade, strain the juice to remove any seeds.)\n", + "\n", + "#### Step 2: Make the Simple Syrup (Optional, but recommended)\n", + "*This step ensures the sugar dissolves completely, preventing grainy lemonade.*\n", + "1. In a small saucepan, combine 1 cup of water and 1 cup of sugar.\n", + "2. Heat over medium heat, stirring constantly, until the sugar is completely dissolved. Do not let it boil.\n", + "3. Remove from heat and let the simple syrup cool completely.\n", + "\n", + "#### Step 3: Combine and Chill\n", + "1. In your large pitcher, combine the cooled simple syrup, the fresh lemon juice, and the remaining 5 cups of cold water.\n", + "2. Stir everything together well until the sugar is fully dissolved.\n", + "3. Taste the lemonade. If it’s too tart, add a little more sugar (or simple syrup). If it’s too sweet, add a little more water.\n", + "4. Chill the lemonade in the refrigerator for at least 30 minutes before serving.\n", + "\n", + "---\n", + "\n", + "## ✨ Tips for the Perfect Lemonade\n", + "\n", + "### 1. Adjusting the Flavor Balance\n", + "The secret to great lemonade is the ratio of tartness to sweetness.\n", + "\n", + "* **For a Tart Lemonade:** Use less sugar and more lemon juice.\n", + "* **For a Sweet Lemonade:** Use more sugar and slightly less lemon juice.\n", + "* **For a Richer Flavor:** Try replacing some of the granulated sugar with **honey** or **agave nectar**.\n", + "\n", + "### 2. Flavor Boosters\n", + "Want to elevate your lemonade? Try adding one of these ingredients:\n", + "\n", + "* **Mint:** Add a handful of fresh mint leaves to the pitcher for a refreshing aroma.\n", + "* **Ginger:** Add a small knob of fresh ginger, grated, to the simple syrup mixture for a spicy kick.\n", + "* **Cucumber:** Add thin slices of cucumber to the pitcher for a cooling, spa-like flavor.\n", + "* **Sparkling:** For a sophisticated twist, top your finished lemonade with sparkling water or club soda.\n", + "\n", + "### 3. Presentation Matters\n", + "Serve your lemonade over plenty of ice. Garnish each glass with a thin slice of lemon or a sprig of mint for a beautiful presentation!\n" + ] + } + ], "source": [ "import requests\n", "\n", "LEMONADE_SERVER_URL = \"http://localhost:13305/api/v1/chat/completions\"\n", "MODEL = \"Gemma-4-E2B-it-GGUF\"\n", "\n", - "\n", "def ask(question: str):\n", " \"\"\"Query the local LLM using the OpenAI chat completions format\"\"\"\n", " payload = {\n", " \"model\": MODEL,\n", - " \"messages\": [{\"role\": \"user\", \"content\": question}],\n", + " \"messages\": [\n", + " {\"role\": \"user\", \"content\": question}\n", + " ],\n", " \"temperature\": 0.2,\n", - " \"max_tokens\": 3000,\n", + " \"max_tokens\": 3000\n", " }\n", "\n", " r = requests.post(LEMONADE_SERVER_URL, json=payload, timeout=120)\n", @@ -114,7 +183,6 @@ " resp = r.json()\n", " return resp[\"choices\"][0][\"message\"][\"content\"]\n", "\n", - "\n", "print(ask(\"How can I make a lemonade?\"))" ] }, @@ -132,24 +200,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "9610eaf9", "metadata": {}, "outputs": [], "source": [ "import base64\n", "from pathlib import Path\n", - "\n", "import cv2\n", "import matplotlib.pyplot as plt\n", "\n", - "\n", "def b64_image(image_path: str) -> str:\n", " \"\"\"Convert image to base64 string\"\"\"\n", " data = Path(image_path).read_bytes()\n", " return base64.b64encode(data).decode(\"utf-8\")\n", "\n", - "\n", "def ask_with_image(image_path: str, question: str):\n", " \"\"\"Query the local VLM with an image and question using the OpenAI format\"\"\"\n", " payload = {\n", @@ -159,12 +224,12 @@ " \"role\": \"user\",\n", " \"content\": [\n", " {\"type\": \"text\", \"text\": question},\n", - " {\"type\": \"image_url\", \"image_url\": {\"url\": f\"data:image/jpeg;base64,{b64_image(image_path)}\"}},\n", - " ],\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": f\"data:image/jpeg;base64,{b64_image(image_path)}\"}}\n", + " ]\n", " }\n", " ],\n", " \"temperature\": 0.2,\n", - " \"max_tokens\": 3000,\n", + " \"max_tokens\": 3000\n", " }\n", "\n", " r = requests.post(LEMONADE_SERVER_URL, json=payload, timeout=120)\n", @@ -176,15 +241,27 @@ " fig, ax = plt.subplots(figsize=(4, 4))\n", " ax.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))\n", " ax.set_title(resp[\"choices\"][0][\"message\"][\"content\"])\n", - " ax.axis(\"off\")" + " ax.axis(\"off\")\n", + "\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "12cb291b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "ask_with_image(\"images/toucan.jpg\", \"What's in this image? Be concise.\")" ] @@ -212,10 +289,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "9ab2ee5c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Lemonade also supports speech-to-text and text-to-speech\n", + " models that can run entirely offline on your own AMD Ryzen\n", + " AI GPU.\n", + "\n" + ] + } + ], "source": [ "import io\n", "\n", @@ -226,7 +331,7 @@ "tts_payload = {\n", " \"model\": \"kokoro-v1\",\n", " \"input\": \"Lemonade also supports speech-to-text and text-to-speech models that can run entirely offline on your own AMD Ryzen AI GPU.\",\n", - " \"response_format\": \"wav\",\n", + " \"response_format\": \"wav\"\n", "}\n", "tts_resp = requests.post(LEMONADE_SPEECH_URL, json=tts_payload, timeout=120)\n", "tts_resp.raise_for_status()\n", @@ -266,16 +371,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "05303e10", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A ROS 2 topic is a unique identifier assigned to a message in a ROS 2 message queue. It's a string that uniquely identifies the message, allowing different nodes to subscribe to the same topic and process the same message.\n" + ] + } + ], "source": [ "payload = {\n", " \"model\": \"Llama-3.2-1B-Instruct-GGUF\",\n", - " \"messages\": [{\"role\": \"user\", \"content\": \"What is a ROS 2 topic? Be concise.\"}],\n", + " \"messages\": [\n", + " {\"role\": \"user\", \"content\": \"What is a ROS 2 topic? Be concise.\"}\n", + " ],\n", " \"temperature\": 0.2,\n", - " \"max_tokens\": 256,\n", + " \"max_tokens\": 256\n", "}\n", "\n", "r = requests.post(LEMONADE_SERVER_URL, json=payload, timeout=120)\n", diff --git a/projects/LocalInference/03_robot_agents.ipynb b/projects/LocalInference/03_robot_agents.ipynb new file mode 100644 index 00000000..b3038fb0 --- /dev/null +++ b/projects/LocalInference/03_robot_agents.ipynb @@ -0,0 +1,454 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Robot Agents with RAI\n", + "\n", + "![](images/manipulation_demo.gif)\n", + "\n", + "RAI (Robot Agent Interface) is an open-source framework from Robotec.ai for building and deploying Embodied AI agents on robots. It connects a model to a robot's ROS 2 stack, letting the it perceive the scene, reason on a natural-language instruction, and call the robot's tools to carry it out.\n", + "\n", + "In this notebook the robot is a Franka Panda arm in an O3DE simulation, and the model behind the agent is the same Lemonade server from the previous notebook. Therefore, reasoning continues to run on your Radeon GPU, keeping privacy.\n", + "\n", + "## Goals\n", + "\n", + "* Learn how to use AI Agents for Physical AI\n", + "* Run a simulated robot commanded by a local LLM" + ], + "id": "71fcfc6e139f" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## How the demo fits together\n", + "\n", + "Four pieces run side by side inside this container:\n", + "\n", + "| Piece | Role |\n", + "| --- | --- |\n", + "| **O3DE simulation** | Physics + rendering of the arm, the table and the objects; publishes camera images and accepts joint commands over ROS 2 |\n", + "| **ROS 2 stack** | MoveIt for motion planning, plus the perception services (object detection and segmentation) the agent uses to find objects |\n", + "| **RAI agent** | Turns your instruction into a sequence of tool calls (look at the camera, locate objects, move the arm) |\n", + "| **Lemonade** | Serves the model that does the reasoning |\n", + "\n", + "The agent never gets object coordinates for free: it takes a picture through the simulated camera, runs detection on it, and plans from what it sees, the same loop a real robot would run." + ], + "id": "bc9d7269b5f7" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Start the demo\n", + "\n", + "The first step is to open a terminal session." + ], + "id": "d204ff16398c" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![](images/new_terminal.png)" + ], + "id": "a7892db82d23" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Point RAI at your local model\n", + "\n", + "```bash\n", + "source /ryzers/lemonade_env.sh\n", + "```\n", + "\n", + "This starts Lemonade if it isn't already up, loads **Gemma-4-E2B-it-GGUF**, and rewrites RAI's config so its OpenAI-compatible client talks to `http://localhost:13305` instead of the cloud.\n", + "\n", + "#### (Optional) - Use a different local model\n", + "```bash\n", + "source /ryzers/lemonade_env.sh \n", + "```\n", + "\n", + "### Launch the demo\n", + "\n", + "**In the same terminal**\n", + "\n", + "```bash\n", + "bash /ryzers/manipulation_demo_headless.sh\n", + "```\n", + "\n", + "### Open the demo\n", + "\n", + "Once the scene has loaded, run the next cell to open the Streamlit interface through your JupyterHub session. Loading the simulation takes a minute or two." + ], + "id": "ddd254b1ed85" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import os\n", + "from IPython.display import HTML, display\n", + "\n", + "service_prefix = os.environ.get(\"JUPYTERHUB_SERVICE_PREFIX\")\n", + "demo_url = (\n", + " f\"{service_prefix.rstrip('/')}/proxy/8501/\"\n", + " if service_prefix\n", + " else \"http://localhost:8501\"\n", + ")\n", + "display(HTML(f'Open the RAI manipulation demo'))" + ], + "id": "3b2e37e1", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Suggested Prompts\n", + "\n", + "Use the chat panel on the right to command the robot agent — each instruction is reasoned about and executed by your local Gemma model on the iGPU, nothing leaving the machine:\n", + "\n", + "- **Reason first:** \"What objects can you see on the table, and where are they?\"\n", + "\n", + "- **Relocate:** \"Move the red cube to the left side of the table.\"\n", + "\n", + "- **Stack objects:** \"Stack the cubes on top of each other.\"\n", + "\n", + "- **Sort by color:** \"Group the cubes by color.\"\n", + "\n", + "Watch the tool calls the agent prints as it works: it takes a camera image, calls `get_object_positions` to locate what it saw, and then issues arm movements. When something goes wrong it is usually visible there — a missed detection, or a grasp the planner couldn't reach.\n", + "\n", + "The sidebar also lets you switch scene layouts (more cubes, apples, carrots) and clear the conversation history, which is worth doing between tasks so the agent re-checks the scene instead of trusting an old observation." + ], + "id": "459ea3eacb67" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Peek at what the robot sees\n", + "\n", + "The agent's view of the world is the `/color_image5` camera topic. `web_video_server` serves it over HTTP, which is what the simulation panel displays. Hence, this means that we can grab a frame straight from this notebook." + ], + "id": "71a81d899b4b" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import requests\n", + "import matplotlib.pyplot as plt\n", + "from PIL import Image\n", + "from io import BytesIO\n", + "\n", + "# web_video_server wants the topic unescaped, so keep it in the URL itself\n", + "SNAPSHOT_URL = \"http://localhost:8080/snapshot?topic=/color_image5&quality=80\"\n", + "\n", + "r = requests.get(SNAPSHOT_URL, timeout=30)\n", + "r.raise_for_status()\n", + "\n", + "plt.figure(figsize=(8, 4.5))\n", + "plt.imshow(Image.open(BytesIO(r.content)))\n", + "plt.axis(\"off\")\n", + "plt.title(\"Live view from the simulated camera\")\n", + "plt.show()" + ], + "execution_count": 1, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", 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" + ] + } + } + ], + "id": "63d739876d04" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Test OpenAI API Server Directly\n", + "\n", + "The Streamlit page is only a front-end. The agent behind it is a plain object you can build and call yourself — which is worth doing once, because it makes the whole loop concrete.\n", + "\n", + "In the previous notebook we POSTed a message to Lemonade and got text back. Here we hand an instruction to the agent, and it makes that same call under the hood — except the answer arrives as *motion*: the model decides which tools to call, and the arm moves. So we record the simulation camera while it works and play the result back as a video.\n", + "\n", + "Keep the demo from the previous section running — this uses the simulation and the ROS 2 stack it started." + ], + "id": "c1228f106bd2" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import os\n", + "import sys\n", + "\n", + "# RAI resolves its embodiment description and config.toml relative to the repo root\n", + "sys.path.insert(0, \"/ryzers/rai/examples\")\n", + "os.chdir(\"/ryzers/rai\")\n", + "os.environ.setdefault(\"OPENAI_API_KEY\", \"lemonade\") # dummy key, Lemonade ignores it\n", + "\n", + "from manipulation_common import create_agent\n", + "\n", + "# Builds the LLM client (pointed at Lemonade by lemonade_env.sh) and the robot's\n", + "# tools: look through the camera, locate objects, move the arm, reset the arm\n", + "agent, camera_tool = create_agent(version=\"v2\")\n", + "\n", + "print(\"Agent ready\")" + ], + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "text": [ + "UserWarning: Using the native apex kernel for RoPE.\n", + "FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC ROS2Connector[33] WARNING Auto-initializing ROS2, but manual initialization is recommended. For better control and predictability, call rclpy.init() or ROS2Context before creating this connector.\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.timeout_sec = 60.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.conversion_ratio = 1.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.output_point_label = \n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.output_description_suffix = \n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_topic = /color_image5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.depth_topic = /depth_image5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_info_topic = /color_camera_info5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.target_frame = panda_link0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.source_frame = RGBDCamera5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] WARNING GetObjectGrippingPointsTool: Some required topics are not currently available:\n", + " Missing topics: ['/color_image5', '/depth_image5', '/color_camera_info5']\n", + " Note: Topics may not be available yet (this is an early check).\n", + " If topics remain unavailable after waiting, check for topic name mismatches.\n", + " To remap to your robot/simulation topics, set ROS2 parameters before tool initialization:\n", + " node.declare_parameter('perception.gripping_points.camera_topic', '/your/robot/camera/topic')\n", + " node.declare_parameter('perception.gripping_points.depth_topic', '/your/robot/depth/topic')\n", + " node.declare_parameter('perception.gripping_points.camera_info_topic', '/your/robot/camera_info/topic')\n", + "[INFO] [1785366339.763420956] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool initialized\n", + "[INFO] [1785366339.764039468] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool configuration: target_frame='panda_link0', source_frame='RGBDCamera5', camera_topic='/color_image5', depth_topic='/depth_image5', camera_info_topic='/color_camera_info5', conversion_ratio=1.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_topic = /color_image5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.depth_topic = /depth_image5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_info_topic = /color_camera_info5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.target_frame = panda_link0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.source_frame = RGBDCamera5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.timeout_sec = 60.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.conversion_ratio = 1.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.output_point_label = \n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.output_description_suffix = \n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] WARNING GetObjectGrippingPointsTool: Some required topics are not currently available:\n", + " Missing topics: ['/color_image5', '/depth_image5', '/color_camera_info5']\n", + " Note: Topics may not be available yet (this is an early check).\n", + " If topics remain unavailable after waiting, check for topic name mismatches.\n", + " To remap to your robot/simulation topics, set ROS2 parameters before tool initialization:\n", + " node.declare_parameter('perception.gripping_points.camera_topic', '/your/robot/camera/topic')\n", + " node.declare_parameter('perception.gripping_points.depth_topic', '/your/robot/depth/topic')\n", + " node.declare_parameter('perception.gripping_points.camera_info_topic', '/your/robot/camera_info/topic')\n", + "[INFO] [1785366339.766164603] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool initialized\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai.communication.ros2.waiters[33] INFO Waiting for service {'/detection', '/segmentation'}...\n", + "[INFO] [1785366339.766382733] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool configuration: target_frame='panda_link0', source_frame='RGBDCamera5', camera_topic='/color_image5', depth_topic='/depth_image5', camera_info_topic='/color_camera_info5', conversion_ratio=1.0\n", + "2026-07-29 23:05:40 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai.initialization.model_initialization[33] INFO Initializing complex_model: Vendor: openai, Model: Gemma-4-E2B-it-GGUF\n" + ] + }, + { + "output_type": "stream", + "text": [ + "Agent ready\n" + ] + } + ], + "id": "4d34ef09608f" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Send an instruction and record the result\n", + "\n", + "`agent.invoke` blocks until the agent is done — it may take a few minutes, since every step is a full round trip through the local model. While it works, a background thread pulls frames from the same MJPEG endpoint the simulation panel uses and encodes them into an MP4.\n", + "\n", + "Change `INSTRUCTION` to whatever you want the arm to do; keep it to objects that are actually in the current scene layout." + ], + "id": "5702cb0b43f4" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import subprocess\n", + "import threading\n", + "import time\n", + "\n", + "from IPython.display import Video, display\n", + "from rai.messages import HumanMultimodalMessage\n", + "\n", + "RECORD_URL = (\n", + " \"http://localhost:8080/stream?topic=/color_image5&quality=70&width=960&height=540\"\n", + ")\n", + "VIDEO_PATH = \"/ryzers/notebooks/agent_run.mp4\"\n", + "\n", + "\n", + "class SimulationRecorder:\n", + " \"\"\"Capture the simulation camera into an MP4 while the agent works.\"\"\"\n", + "\n", + " def __init__(self, path=VIDEO_PATH, fps=4):\n", + " self.path, self.fps = path, fps\n", + " self.frames, self._stop = [], threading.Event()\n", + "\n", + " def _grab(self):\n", + " # One long-lived MJPEG connection, split into frames on the JPEG markers.\n", + " # (Polling /snapshot per frame instead would churn through subscribers\n", + " # and eventually hang web_video_server.)\n", + " try:\n", + " with requests.get(RECORD_URL, stream=True, timeout=30) as r:\n", + " buf, last = b\"\", 0.0\n", + " for chunk in r.iter_content(8192):\n", + " if self._stop.is_set():\n", + " return\n", + " buf += chunk\n", + " while True:\n", + " start, end = buf.find(b\"\\xff\\xd8\"), buf.find(b\"\\xff\\xd9\")\n", + " if start == -1 or end == -1 or end < start:\n", + " break\n", + " frame, buf = buf[start : end + 2], buf[end + 2 :]\n", + " now = time.time()\n", + " if now - last >= 1 / self.fps: # thin out to the target rate\n", + " self.frames.append(frame)\n", + " last = now\n", + " except requests.RequestException:\n", + " pass\n", + "\n", + " def __enter__(self):\n", + " self._started = time.time()\n", + " self._thread = threading.Thread(target=self._grab, daemon=True)\n", + " self._thread.start()\n", + " return self\n", + "\n", + " def __exit__(self, *exc):\n", + " self._stop.set()\n", + " self._thread.join(timeout=5)\n", + " # Encode at the rate we actually captured, so playback runs at real speed\n", + " rate = max(len(self.frames) / (time.time() - self._started), 1)\n", + " ffmpeg = subprocess.Popen(\n", + " [\"ffmpeg\", \"-y\", \"-loglevel\", \"error\",\n", + " \"-f\", \"image2pipe\", \"-vcodec\", \"mjpeg\", \"-framerate\", f\"{rate:.2f}\", \"-i\", \"-\",\n", + " \"-vcodec\", \"libx264\", \"-pix_fmt\", \"yuv420p\", \"-vf\", \"fps=15\", self.path],\n", + " stdin=subprocess.PIPE,\n", + " )\n", + " ffmpeg.communicate(b\"\".join(self.frames))" + ], + "execution_count": 3, + "outputs": [], + "id": "94efd2f02722" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "INSTRUCTION = \"Pick up any cube and place it on top of another cube.\"\n", + "\n", + "# The agent starts from what the camera sees, exactly like the chat panel does\n", + "_, artifact = camera_tool._run()\n", + "message = HumanMultimodalMessage(content=INSTRUCTION, images=artifact.get(\"images\", []))\n", + "\n", + "start = time.time()\n", + "with SimulationRecorder():\n", + " result = agent.invoke({\"messages\": [message]}, config={\"recursion_limit\": 100})\n", + "\n", + "print(f\"{result['messages'][-1].content}\\n\\n(took {time.time() - start:.0f}s)\")\n", + "display(Video(VIDEO_PATH, embed=True, width=640))" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "2026-07-29 23:07:45 HP-Z2-Mini-G1a-Workstation-Desktop-PC httpx[33] INFO HTTP Request: POST http://localhost:13305/api/v0/chat/completions \"HTTP/1.1 200 OK\"\n" + ] + } + ], + "id": "b6695d522798" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Every tool call the agent made is in `result[\"messages\"]` — worth reading to see how it got there:\n", + "\n", + "```python\n", + "for m in result[\"messages\"]:\n", + " m.pretty_print()\n", + "```\n", + "\n", + "If the video comes back empty, the camera stream has usually gone stale after processes were killed (Fast-DDS leaves shared-memory segments behind in `/dev/shm`). Restart just that node in a terminal:\n", + "\n", + "```bash\n", + "pkill -f web_video_server\n", + "ros2 run web_video_server web_video_server --ros-args -p port:=8080 &\n", + "```" + ], + "id": "2c294f812f35" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Key Takeaways\n", + "\n", + "Now you know:\n", + "- How a robot agent is wired: simulation and ROS 2 tools on one side, a locally served LLM on the other\n", + "- How to point RAI at a Lemonade model with `lemonade_env.sh`, and swap that model out\n", + "- How to run a GPU-rendered simulation with no monitor, using a headless compositor plus Xwayland\n", + "- How to command a simulated manipulator in natural language, and read the agent's tool calls to see how it got there\n", + "\n", + "## What to Try Next\n", + "\n", + "- Ask for a task the arm can't reach or see, and watch how the agent recovers\n", + "- Swap in a different local model and compare how reliably each one calls the right tools\n", + "- Change the scene layout in the sidebar and repeat the same instruction\n", + "- Explore RAI's benchmarks (`rai_bench`) to score models on tool calling and manipulation with your local model" + ], + "id": "55c3138cadb2" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## References\n", + "\n", + "* [RAI](https://github.com/RobotecAI/rai)\n", + "* [O3DE](https://o3de.org/)\n", + "* [Lemonade](https://lemonade-server.ai/)" + ], + "id": "c6ccbaf8f07a" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/projects/LocalInference/README.md b/projects/LocalInference/README.md index 180cf67c..cf677079 100644 --- a/projects/LocalInference/README.md +++ b/projects/LocalInference/README.md @@ -1,6 +1,12 @@ # ROSCon 2026: Local Robot Inference -Open `02_local_inference_with_lemonade.ipynb`. +Complete the notebooks in order: + +1. `02_local_inference_with_lemonade.ipynb` +2. `03_robot_agents.ipynb` + +The second notebook starts a headless O3DE manipulation simulation and connects +a RAI robot agent to the Lemonade model from the first notebook. 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+lemonade load "$MODEL" + +# Point RAI's [openai] base_url at Lemonade. Sets it regardless of current +# value, so this works no matter which backend you ran last. +sed -i 's|^base_url = .*|base_url = "http://localhost:13305/api/v0"|' /ryzers/rai/config.toml +export OPENAI_API_KEY="lemonade" # dummy; Lemonade ignores it +# Point the [openai] model name to do the same sourced in lemonade. +sed -i '/^\[openai\]/,/^\[/{s|^simple_model = .*|simple_model = "'"$MODEL"'"|; s|^complex_model = .*|complex_model = "'"$MODEL"'"|}' /ryzers/rai/config.toml + +# ROS env (runtime = interactive bash, so .bash) +cd /ryzers/rai +source /opt/ros/jazzy/setup.bash +source install/setup.bash + +# Headless run only since this script is for the roscon26 conference +echo "Lemonade ready. Run e.g.:" +echo " bash /ryzers/manipulation_demo_headless.sh" \ No newline at end of file diff --git a/projects/LocalInference/manipulation_demo_headless.sh b/projects/LocalInference/manipulation_demo_headless.sh new file mode 100755 index 00000000..39cb4d3d --- /dev/null +++ b/projects/LocalInference/manipulation_demo_headless.sh @@ -0,0 +1,72 @@ +#!/bin/bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# Runs the RAI manipulation demo without a monitor. +# +# O3DE renders through Vulkan, which needs a presentable surface: Xvfb can't +# provide one (no DRI3, so only the llvmpipe software device is presentable), +# but Xwayland on a headless Weston compositor can - it hands the X server the +# real /dev/dri render node, so the iGPU does the rendering. The simulation +# camera is then republished as MJPEG by web_video_server and shown next to the +# agent chat in the Streamlit page, so the whole demo lives in the browser. + +set -e + +RAI_DIR=/ryzers/rai +WESTON_LOG=/tmp/weston.log +VIDEO_PORT=8080 + +export XDG_RUNTIME_DIR="${XDG_RUNTIME_DIR:-/tmp/runtime-root}" +mkdir -p -m 700 "$XDG_RUNTIME_DIR" + +# Xwayland needs this to exist. The container runs with --network=host, which +# shares the abstract socket namespace, so the abstract @X0 name is taken and +# Xwayland falls back to a socket file in here - Weston crashes if it's missing. +mkdir -p -m 1777 /tmp/.X11-unix + +cleanup() { + [ -n "$WESTON_PID" ] && kill "$WESTON_PID" 2>/dev/null + [ -n "$VIDEO_PID" ] && kill "$VIDEO_PID" 2>/dev/null + return 0 +} +trap cleanup EXIT + +# 1. Headless GPU display +if pgrep -f "weston --backend=headless" > /dev/null; then + echo "Reusing the Weston compositor that is already running" +else + echo "Starting headless Weston + Xwayland..." + weston --backend=headless --renderer=gl \ + --width=1920 --height=1080 \ + --xwayland --socket=wayland-headless > "$WESTON_LOG" 2>&1 & + WESTON_PID=$! +fi + +for _ in $(seq 30); do + DISPLAY=$(grep -oP 'xserver listening on display \K:[0-9]+' "$WESTON_LOG" | head -1) + [ -n "$DISPLAY" ] && break + sleep 1 +done +if [ -z "$DISPLAY" ]; then + echo "Xwayland did not come up - see $WESTON_LOG" >&2 + exit 1 +fi +export DISPLAY +echo "Headless display ready on $DISPLAY" + +# 2. ROS 2 + RAI environment (the demo resolves its assets relative to $RAI_DIR) +cd "$RAI_DIR" +source /opt/ros/${ROS_DISTRO}/setup.bash +source install/setup.bash + +# 3. Republish the simulation camera as MJPEG for the browser +echo "Starting web_video_server on port $VIDEO_PORT..." +ros2 run web_video_server web_video_server --ros-args -p port:=$VIDEO_PORT \ + > /tmp/web_video_server.log 2>&1 & +VIDEO_PID=$! + +# 4. Streamlit page: simulation view + agent chat +echo "Starting the demo - open http://localhost:8501 once the scene has loaded" +streamlit run /ryzers/manipulation_demo_streamlit.py \ + --server.headless true --server.address 0.0.0.0 diff --git a/projects/LocalInference/manipulation_demo_streamlit.py b/projects/LocalInference/manipulation_demo_streamlit.py new file mode 100644 index 00000000..36dc64d3 --- /dev/null +++ b/projects/LocalInference/manipulation_demo_streamlit.py @@ -0,0 +1,75 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# Headless front-end for RAI's manipulation demo: adds a live view of the +# simulation to the upstream Streamlit app so no local display is needed. +# The view is the MJPEG stream web_video_server publishes from the simulation +# camera topic - the same images the agent reasons about. + +import importlib.util +import os +import sys + +import streamlit as st +import streamlit.components.v1 as components + +RAI_EXAMPLES = "/ryzers/rai/examples" +DEMO_APP = f"{RAI_EXAMPLES}/manipulation-demo-streamlit.py" +O3DE_CONFIG = ( + "src/rai_bench/rai_bench/manipulation_o3de/predefined/configs/o3de_config.yaml" +) +CAMERA_TOPIC = "/color_image5" +JUPYTERHUB_SERVICE_PREFIX = os.environ.get("JUPYTERHUB_SERVICE_PREFIX") +STREAM_BASE_URL = ( + f"{JUPYTERHUB_SERVICE_PREFIX.rstrip('/')}/proxy/8080" + if JUPYTERHUB_SERVICE_PREFIX + else "http://localhost:8080" +) +STREAM_URL = ( + f"{STREAM_BASE_URL}/stream?topic={CAMERA_TOPIC}&quality=70&width=640&height=360" +) + +st.set_page_config(page_title="RAI Manipulation Demo", page_icon=":robot:") + +# Upstream calls set_page_config as well, and Streamlit allows only one call +# per page - drop the second one instead of patching the example itself. +st.set_page_config = lambda *args, **kwargs: None + +st.markdown( + "", + unsafe_allow_html=True, +) + +with st.sidebar: + st.header("Simulation") + # While O3DE is still loading, web_video_server accepts the connection but + # sends no frames - that never fires onerror, so reconnect on a timer until + # a frame actually arrives (naturalWidth turns non-zero). + components.html( + f""" + +

    Waiting for the simulation...

    + + """, + height=310, + ) + +sys.path.insert(0, RAI_EXAMPLES) +spec = importlib.util.spec_from_file_location("rai_manipulation_demo", DEMO_APP) +demo = importlib.util.module_from_spec(spec) +spec.loader.exec_module(demo) + +demo.main(O3DE_CONFIG) diff --git a/projects/LocalInference/tests/test_rai.sh b/projects/LocalInference/tests/test_rai.sh index 0b9e2103..1117f077 100755 --- a/projects/LocalInference/tests/test_rai.sh +++ b/projects/LocalInference/tests/test_rai.sh @@ -39,6 +39,31 @@ print(' - Pipeline: available') print(' - PipelineBuilder: available') " +# Test the perception stack and assets used by 03_robot_agents.ipynb. +echo "" +echo "Testing RAI manipulation demo..." +PYTHONWARNINGS=ignore python3 -c " +from pathlib import Path + +from rai_perception.services.detection_service import DetectionService +from rai_perception.services.segmentation_service import SegmentationService + +weights = Path('/opt/rai-cache/vision/weights') +expected = [ + weights / 'groundingdino_swint_ogc.pth', + weights / 'sam2_hiera_large.pt', +] +assert DetectionService.DEFAULT_WEIGHTS_ROOT_PATH == Path('/opt/rai-cache') +assert all(path.stat().st_size > 100_000_000 for path in expected) +assert Path('/ryzers/rai/examples/manipulation-demo-streamlit.py').is_file() +print('RAI perception imports and preloaded weights available!') +" +/usr/bin/python3 -c "import jupyter_server_proxy" +test -x /ryzers/lemonade_env.sh +test -x /ryzers/manipulation_demo_headless.sh +test -f /ryzers/manipulation_demo_streamlit.py +echo "RAI demo scripts and Jupyter port proxy available!" + # Check ROS 2 tools echo "" echo "Testing ROS 2 integration..." From 680795a9c47e1037fcf37a52a1f364e1acf31147 Mon Sep 17 00:00:00 2001 From: skalade Date: Mon, 3 Aug 2026 11:11:50 -0600 Subject: [PATCH 04/35] update catalog names --- auplc_installer/catalog.py | 10 ++++++++-- runtime/values.yaml | 4 ++-- 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/auplc_installer/catalog.py b/auplc_installer/catalog.py index f2f09530..e930471a 100644 --- a/auplc_installer/catalog.py +++ b/auplc_installer/catalog.py @@ -51,13 +51,19 @@ class Course: Course("Course-DL", "auplc-dl", True, "dl", "Deep Learning Course"), Course("Course-LLM", "auplc-llm", True, "llm", "Large Language Model Course"), Course("Course-PhySim", "auplc-physim", True, "physim", "Physical Simulation Course"), - Course("Course-Finetuning", "auplc-finetuning", True, "finetuning", "VLA Finetuning (MolmoAct2)"), + Course( + "Course-Finetuning", + "auplc-finetuning", + True, + "finetuning", + "Fine-tuning on GPUs: from cloud to robot", + ), Course( "Course-LocalInference", "auplc-localinference", True, "local-inference", - "Local Robot Inference (RAI + Lemonade)", + "Local inference of embodied AI", ), ) diff --git a/runtime/values.yaml b/runtime/values.yaml index f4f0c1ee..9b017def 100644 --- a/runtime/values.yaml +++ b/runtime/values.yaml @@ -433,7 +433,7 @@ custom: resourceType: "notebook" Course-Finetuning: group: "ROSCON 2026" - description: "VLA Finetuning (MolmoAct2)" + description: "Fine-tuning on GPUs: from cloud to robot" subDescription: "Fine-tune MolmoAct2 policies with ROCm" accelerator: "GPU" acceleratorKeys: @@ -442,7 +442,7 @@ custom: resourceType: "notebook" Course-LocalInference: group: "ROSCON 2026" - description: "Local Robot Inference (RAI + Lemonade)" + description: "Local inference of embodied AI" subDescription: "Run local models with ROS 2 and RAI" accelerator: "GPU" acceleratorKeys: From af948054e1aedbd1aada09499d3cd76c0c38cb81 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Luiz=20Godoy?= Date: Fri, 7 Aug 2026 10:12:20 -0700 Subject: [PATCH 05/35] Add in-notebook manipulation demo and harden headless runtime Run the RAI demo as ipywidgets in a notebook cell instead of a separate Streamlit page, so it no longer needs a second browser tab. The agent, the O3DE bridge and the chat run in the kernel; camera frames are fetched kernel-side and pushed into an Image widget. Also: add --infra-only to the demo script, SIGKILL web_video_server by name on cleanup (VIDEO_PID was the "ros2 run" wrapper, so the server was orphaned holding port 8080), add a watchdog for when it wedges, and give user pods a 2Gi /dev/shm for Fast-DDS. --- dockerfiles/Courses/LocalInference/Dockerfile | 1 + projects/LocalInference/03_robot_agents.ipynb | 112 ++-- .../manipulation_demo_headless.sh | 59 +- projects/LocalInference/notebook_demo.py | 568 ++++++++++++++++++ runtime/values.yaml | 11 + 5 files changed, 690 insertions(+), 61 deletions(-) create mode 100644 projects/LocalInference/notebook_demo.py diff --git a/dockerfiles/Courses/LocalInference/Dockerfile b/dockerfiles/Courses/LocalInference/Dockerfile index bd7724d5..06e6c62b 100644 --- a/dockerfiles/Courses/LocalInference/Dockerfile +++ b/dockerfiles/Courses/LocalInference/Dockerfile @@ -174,6 +174,7 @@ COPY ./course_data /ryzers/notebooks COPY ./course_data/lemonade_env.sh \ ./course_data/manipulation_demo_headless.sh \ ./course_data/manipulation_demo_streamlit.py \ + ./course_data/notebook_demo.py \ /ryzers/ RUN ln -s /ryzers/notebooks/tests/test_ros.sh /ryzers/test_ros.sh \ diff --git a/projects/LocalInference/03_robot_agents.ipynb b/projects/LocalInference/03_robot_agents.ipynb index b3038fb0..05ecaa7d 100644 --- a/projects/LocalInference/03_robot_agents.ipynb +++ b/projects/LocalInference/03_robot_agents.ipynb @@ -44,67 +44,35 @@ "source": [ "## Start the demo\n", "\n", - "The first step is to open a terminal session." - ], - "id": "d204ff16398c" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](images/new_terminal.png)" - ], - "id": "a7892db82d23" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Point RAI at your local model\n", + "Everything runs inside this notebook: the simulation, the ROS 2 stack, the agent and the chat. The cell below brings all of it up and renders the demo as its own output, so there is no second tab to open and no separate server to reach.\n", "\n", - "```bash\n", - "source /ryzers/lemonade_env.sh\n", - "```\n", - "\n", - "This starts Lemonade if it isn't already up, loads **Gemma-4-E2B-it-GGUF**, and rewrites RAI's config so its OpenAI-compatible client talks to `http://localhost:13305` instead of the cloud.\n", + "Give it a few minutes the first time. The scene has to render on the iGPU, and MoveIt and the perception services have to come up before the arm can act on anything.\n", "\n", "#### (Optional) - Use a different local model\n", - "```bash\n", - "source /ryzers/lemonade_env.sh \n", - "```\n", - "\n", - "### Launch the demo\n", "\n", - "**In the same terminal**\n", - "\n", - "```bash\n", - "bash /ryzers/manipulation_demo_headless.sh\n", - "```\n", - "\n", - "### Open the demo\n", - "\n", - "Once the scene has loaded, run the next cell to open the Streamlit interface through your JupyterHub session. Loading the simulation takes a minute or two." + "`build_demo` takes a `model=` argument naming the Lemonade model the agent reasons with. It defaults to **Gemma-4-E2B-it-GGUF**, and `layout=` picks the starting scene.\n" ], - "id": "ddd254b1ed85" + "id": "883c8d1a67a2" }, { "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "import os\n", - "from IPython.display import HTML, display\n", + "import sys\n", "\n", - "service_prefix = os.environ.get(\"JUPYTERHUB_SERVICE_PREFIX\")\n", - "demo_url = (\n", - " f\"{service_prefix.rstrip('/')}/proxy/8501/\"\n", - " if service_prefix\n", - " else \"http://localhost:8501\"\n", - ")\n", - "display(HTML(f'
    Open the RAI manipulation demo'))" + "# notebook_demo.py sits next to the other demo scripts\n", + "sys.path.insert(0, \"/ryzers\")\n", + "\n", + "# Importing this initializes rclpy before torch gets loaded - the order matters,\n", + "# see the note at the top of notebook_demo.py\n", + "from notebook_demo import build_demo\n", + "\n", + "demo = build_demo(layout=\"3 Red Cubes\")\n", + "demo.display()\n" ], - "id": "3b2e37e1", - "execution_count": null, - "outputs": [] + "id": "c00f9c973d94" }, { "cell_type": "markdown", @@ -112,7 +80,7 @@ "source": [ "## Suggested Prompts\n", "\n", - "Use the chat panel on the right to command the robot agent — each instruction is reasoned about and executed by your local Gemma model on the iGPU, nothing leaving the machine:\n", + "Type into the box under the chat log to command the robot agent — each instruction is reasoned about and executed by your local Gemma model on the iGPU, nothing leaving the machine:\n", "\n", "- **Reason first:** \"What objects can you see on the table, and where are they?\"\n", "\n", @@ -124,7 +92,9 @@ "\n", "Watch the tool calls the agent prints as it works: it takes a camera image, calls `get_object_positions` to locate what it saw, and then issues arm movements. When something goes wrong it is usually visible there — a missed detection, or a grasp the planner couldn't reach.\n", "\n", - "The sidebar also lets you switch scene layouts (more cubes, apples, carrots) and clear the conversation history, which is worth doing between tasks so the agent re-checks the scene instead of trusting an old observation." + "The controls on the left switch scene layouts (more cubes, apples, carrots) and clear the conversation history, which is worth doing between tasks so the agent re-checks the scene instead of trusting an old observation.\n", + "\n", + "The camera view and the chat run on their own threads, so the kernel stays free while the arm moves — you can keep running the cells below without stopping the demo.\n" ], "id": "459ea3eacb67" }, @@ -168,7 +138,8 @@ "text/plain": [ "
    " ] - } + }, + "metadata": {} } ], "id": "63d739876d04" @@ -194,6 +165,15 @@ "import os\n", "import sys\n", "\n", + "# rclpy.init() must happen before torch is loaded: torch's bundled C++\n", + "# runtime corrupts the heap for rcl's init, aborting the kernel with\n", + "# \"free(): invalid size\". RAI's connector skips its own init if rclpy is\n", + "# already up, and recommends initializing manually anyway.\n", + "import rclpy\n", + "\n", + "if not rclpy.ok():\n", + " rclpy.init()\n", + "\n", "# RAI resolves its embodiment description and config.toml relative to the repo root\n", "sys.path.insert(0, \"/ryzers/rai/examples\")\n", "os.chdir(\"/ryzers/rai\")\n", @@ -255,13 +235,15 @@ "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai.communication.ros2.waiters[33] INFO Waiting for service {'/detection', '/segmentation'}...\n", "[INFO] [1785366339.766382733] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool configuration: target_frame='panda_link0', source_frame='RGBDCamera5', camera_topic='/color_image5', depth_topic='/depth_image5', camera_info_topic='/color_camera_info5', conversion_ratio=1.0\n", "2026-07-29 23:05:40 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai.initialization.model_initialization[33] INFO Initializing complex_model: Vendor: openai, Model: Gemma-4-E2B-it-GGUF\n" - ] + ], + "name": "stdout" }, { "output_type": "stream", "text": [ "Agent ready\n" - ] + ], + "name": "stdout" } ], "id": "4d34ef09608f" @@ -286,6 +268,8 @@ "import threading\n", "import time\n", "\n", + "import requests # also imported by the snapshot cell above, which may not have run\n", + "\n", "from IPython.display import Video, display\n", "from rai.messages import HumanMultimodalMessage\n", "\n", @@ -334,6 +318,18 @@ " def __exit__(self, *exc):\n", " self._stop.set()\n", " self._thread.join(timeout=5)\n", + " if not self.frames:\n", + " # The grab thread blocks in iter_content when web_video_server stops\n", + " # answering, so joining it times out and no frames ever arrive.\n", + " print(\n", + " \"No frames captured - web_video_server is not responding.\\n\"\n", + " \"Restart it from a terminal:\\n\"\n", + " \" pkill -9 -f web_video_server\\n\"\n", + " \" source /opt/ros/$ROS_DISTRO/setup.bash\\n\"\n", + " \" setsid ros2 run web_video_server web_video_server \"\n", + " \"--ros-args -p port:=8080 /tmp/wvs.log 2>&1 &\"\n", + " )\n", + " return\n", " # Encode at the rate we actually captured, so playback runs at real speed\n", " rate = max(len(self.frames) / (time.time() - self._started), 1)\n", " ffmpeg = subprocess.Popen(\n", @@ -371,7 +367,8 @@ "output_type": "stream", "text": [ "2026-07-29 23:07:45 HP-Z2-Mini-G1a-Workstation-Desktop-PC httpx[33] INFO HTTP Request: POST http://localhost:13305/api/v0/chat/completions \"HTTP/1.1 200 OK\"\n" - ] + ], + "name": "stdout" } ], "id": "b6695d522798" @@ -390,8 +387,9 @@ "If the video comes back empty, the camera stream has usually gone stale after processes were killed (Fast-DDS leaves shared-memory segments behind in `/dev/shm`). Restart just that node in a terminal:\n", "\n", "```bash\n", - "pkill -f web_video_server\n", - "ros2 run web_video_server web_video_server --ros-args -p port:=8080 &\n", + "pkill -9 -f web_video_server # a wedged server ignores SIGTERM\n", + "setsid ros2 run web_video_server web_video_server --ros-args -p port:=8080 \\\n", + " /tmp/wvs.log 2>&1 &\n", "```" ], "id": "2c294f812f35" diff --git a/projects/LocalInference/manipulation_demo_headless.sh b/projects/LocalInference/manipulation_demo_headless.sh index 39cb4d3d..e657b4ba 100755 --- a/projects/LocalInference/manipulation_demo_headless.sh +++ b/projects/LocalInference/manipulation_demo_headless.sh @@ -13,6 +13,12 @@ set -e +# --infra-only brings up the headless display and the camera stream, then exits +# and leaves them running. The notebook builds the UI itself in that mode, so +# there is no Streamlit page and no second browser tab. +INFRA_ONLY=0 +[ "${1:-}" = "--infra-only" ] && INFRA_ONLY=1 + RAI_DIR=/ryzers/rai WESTON_LOG=/tmp/weston.log VIDEO_PORT=8080 @@ -27,7 +33,12 @@ mkdir -p -m 1777 /tmp/.X11-unix cleanup() { [ -n "$WESTON_PID" ] && kill "$WESTON_PID" 2>/dev/null - [ -n "$VIDEO_PID" ] && kill "$VIDEO_PID" 2>/dev/null + [ -n "$WATCHDOG_PID" ] && kill "$WATCHDOG_PID" 2>/dev/null + # $VIDEO_PID is the "ros2 run" wrapper, not the server binary it forks, and a + # wedged server ignores SIGTERM (rclcpp's shutdown handler never gets to run). + # Match on the name and SIGKILL, or the orphan keeps :$VIDEO_PORT and the next + # launch dies with "Address already in use". + pkill -9 -f web_video_server 2>/dev/null return 0 } trap cleanup EXIT @@ -62,9 +73,49 @@ source install/setup.bash # 3. Republish the simulation camera as MJPEG for the browser echo "Starting web_video_server on port $VIDEO_PORT..." -ros2 run web_video_server web_video_server --ros-args -p port:=$VIDEO_PORT \ - > /tmp/web_video_server.log 2>&1 & -VIDEO_PID=$! +start_video_server() { + ros2 run web_video_server web_video_server --ros-args -p port:=$VIDEO_PORT \ + >> /tmp/web_video_server.log 2>&1 & + VIDEO_PID=$! +} +# Clear anything left over from an earlier run before claiming the port +if pkill -9 -f web_video_server 2>/dev/null; then sleep 2; fi +start_video_server + +# web_video_server wedges when a stream client vanishes mid-frame - a crashed +# notebook kernel, a closed browser tab. It keeps the listen socket, spins at +# 100% CPU and stops answering, so the simulation panel and the notebook +# recorder both hang until someone restarts it by hand. Health-check the +# snapshot endpoint instead and respawn when it stops responding. +( + sleep 30 + while true; do + # Ask for the topic index, not the camera: the camera topic does not + # exist until the simulation is up, but a wedged server stops answering + # every request, this one included. + if ! curl -fsS --max-time 10 -o /dev/null "http://localhost:$VIDEO_PORT/"; then + echo "$(date -Is) web_video_server unresponsive - restarting" \ + >> /tmp/web_video_server.log + pkill -9 -f web_video_server 2>/dev/null || true + sleep 2 + start_video_server + sleep 20 # give it time to come up before the next check + fi + sleep 15 + done +# Redirect the whole subshell, not just the echo: it outlives this script, and +# anything reading our stdout through a pipe would block until it exits. +) >> /tmp/web_video_server.log 2>&1 & +WATCHDOG_PID=$! + +if [ "$INFRA_ONLY" = "1" ]; then + # Hand weston, web_video_server and the watchdog over to the notebook by + # dropping the trap - otherwise they die with this shell. + trap - EXIT + echo "DISPLAY=$DISPLAY" + echo "Infrastructure ready - build the UI from the notebook" + exit 0 +fi # 4. Streamlit page: simulation view + agent chat echo "Starting the demo - open http://localhost:8501 once the scene has loaded" diff --git a/projects/LocalInference/notebook_demo.py b/projects/LocalInference/notebook_demo.py new file mode 100644 index 00000000..6eda5232 --- /dev/null +++ b/projects/LocalInference/notebook_demo.py @@ -0,0 +1,568 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# In-notebook front end for RAI's manipulation demo. +# +# The Streamlit version of this demo runs as a separate server the browser +# reaches over jupyter-server-proxy, so the demo lives in a second tab. Here the +# agent, the O3DE bridge and the chat all run in the notebook kernel and the UI +# is ipywidgets, so the whole demo is the output of one cell. Camera frames are +# fetched kernel-side from web_video_server and pushed into an Image widget over +# the kernel's existing websocket - the browser never opens the stream itself. + +# rclpy has to be initialized before torch is loaded: torch's bundled C++ +# runtime corrupts the heap for rcl's init, aborting the process with +# "free(): invalid size". Everything below pulls in torch through rai_perception, +# so this import must stay first. +import rclpy + +if not rclpy.ok(): + rclpy.init() + +import os # noqa: E402 +import re # noqa: E402 +import subprocess # noqa: E402 +import sys # noqa: E402 +import threading # noqa: E402 +import time # noqa: E402 +import traceback # noqa: E402 +import warnings # noqa: E402 +from pathlib import Path # noqa: E402 + +import ipywidgets as widgets # noqa: E402 +import requests # noqa: E402 +from IPython.display import display # noqa: E402 +from langchain_core.callbacks.base import BaseCallbackHandler # noqa: E402 +from langchain_core.messages import AIMessage # noqa: E402 +from langchain_core.runnables import RunnableConfig # noqa: E402 +from launch import LaunchDescription # noqa: E402 +from launch.actions import IncludeLaunchDescription # noqa: E402 +from launch.launch_description_sources import PythonLaunchDescriptionSource # noqa: E402 +from launch_ros.actions import Node # noqa: E402 +from launch_ros.substitutions import FindPackageShare # noqa: E402 +from rai.communication.ros2.connectors.ros2_connector import ROS2Connector # noqa: E402 +from rai.messages import HumanMultimodalMessage # noqa: E402 +from rai_bench.manipulation_o3de import get_scenarios # noqa: E402 +from rai_bench.manipulation_o3de.benchmark import Scenario # noqa: E402 +from rai_sim.o3de.o3de_bridge import ( # noqa: E402 + O3DEngineArmManipulationBridge, + O3DExROS2SimulationConfig, +) +from rai_sim.simulation_bridge import SceneConfig # noqa: E402 + +RAI_DIR = Path("/ryzers/rai") +DEMO_SCRIPT = "/ryzers/manipulation_demo_headless.sh" +O3DE_CONFIG = "src/rai_bench/rai_bench/manipulation_o3de/predefined/configs/o3de_config.yaml" +CAMERA_TOPIC = "/color_image5" +VIDEO_PORT = 8080 +LEMONADE_URL = "http://localhost:13305" +DEFAULT_MODEL = "Gemma-4-E2B-it-GGUF" + +# Same layouts the Streamlit sidebar offers, keyed by scene config file stem +SCENARIO_NAMES = { + "3rc": "3 Red Cubes", + "4carrots": "4 Carrots", + "2rc_2a": "2 Red Cubes, 2 Apples", + "3rc_2a_1carrot": "3 Red Cubes, 2 Apples, 1 Carrot", + "3carrots_3a_2rc": "3 Carrots, 3 Apples, 2 Red Cubes", +} +GREETING = "Hi! I am a robotic arm. What can I do for you?" + + +# --------------------------------------------------------------------------- +# Environment: Lemonade, headless display, camera stream +# --------------------------------------------------------------------------- + + +def ensure_lemonade(model: str = DEFAULT_MODEL) -> None: + """Python equivalent of ``source lemonade_env.sh``. + + Starts the Lemonade server if it is down, loads the model, and points RAI's + [openai] section at it. Safe to call again - every step is a no-op once done. + """ + + def running() -> bool: + return subprocess.run(["lemonade", "status"], capture_output=True).returncode == 0 + + if not running(): + # The handle has to outlive this call - lemond keeps writing to it long + # after we return, so a context manager would close it out from under. + log = open("/tmp/lemond.log", "a") # noqa: SIM115 + subprocess.Popen( + ["lemond"], + stdout=log, + stderr=subprocess.STDOUT, + start_new_session=True, + ) + for _ in range(120): + if running(): + break + time.sleep(1) + else: + raise RuntimeError("Lemonade did not come up - see /tmp/lemond.log") + + subprocess.run(["lemonade", "load", model], check=True) + + # RAI reads the backend out of config.toml, not the environment + config = RAI_DIR / "config.toml" + config.write_text(_point_openai_at(config.read_text(), model)) + os.environ.setdefault("OPENAI_API_KEY", "lemonade") + + +def _point_openai_at(text: str, model: str) -> str: + """Rewrite the [openai] section of RAI's config.toml to use Lemonade. + + Scoped to that one section on purpose. Every vendor section has + simple_model/complex_model keys, and in [vendor] they name the *vendor* + ("openai"), not a model - rewriting those globally makes RAI look up a + vendor named after the model and fail with AttributeError. + """ + out, in_openai = [], False + for line in text.splitlines(keepends=True): + stripped = line.strip() + if stripped.startswith("["): + in_openai = stripped == "[openai]" + elif in_openai: + body, newline = line.rstrip("\n"), line[len(line.rstrip("\n")) :] + body = re.sub( + r"^(simple_model|complex_model)\s*=.*$", + lambda m: f'{m.group(1)} = "{model}"', + body, + ) + body = re.sub(r"^base_url\s*=.*$", f'base_url = "{LEMONADE_URL}/api/v0"', body) + line = body + newline + out.append(line) + return "".join(out) + + +def camera_url(kind: str = "stream", **params) -> str: + query = "&".join(f"{k}={v}" for k, v in params.items()) + return f"http://localhost:{VIDEO_PORT}/{kind}?topic={CAMERA_TOPIC}&{query}" + + +def _camera_alive(timeout: int = 10) -> bool: + try: + r = requests.get(camera_url("snapshot", quality=20), timeout=timeout) + return r.ok and len(r.content) > 0 + except requests.RequestException: + return False + + +def _server_alive(timeout: int = 8) -> bool: + """Is web_video_server answering at all? + + Deliberately asks for the topic index rather than the camera: the camera + topic only exists once O3DE is up, which happens after this, while a wedged + server stops answering every request including this one. + """ + try: + return requests.get(f"http://localhost:{VIDEO_PORT}/", timeout=timeout).ok + except requests.RequestException: + return False + + +def _wait_for_server(deadline: float) -> bool: + """web_video_server takes a few seconds to bind after a restart, and + answers nothing at all until then.""" + while time.time() < deadline: + if _server_alive(): + return True + time.sleep(3) + return False + + +def start_infrastructure(timeout: int = 180) -> str: + """Bring up the headless display and the camera stream, and adopt $DISPLAY. + + O3DE is launched from this kernel later on, so the kernel itself needs the + DISPLAY that Xwayland picked - that is what the script reports back. + """ + proc = subprocess.run( + ["setsid", "bash", DEMO_SCRIPT, "--infra-only"], + cwd=RAI_DIR, + capture_output=True, + text=True, + timeout=timeout, + ) + if proc.returncode != 0: + raise RuntimeError(f"{DEMO_SCRIPT} --infra-only failed:\n{proc.stdout}\n{proc.stderr}") + + match = re.search(r"^DISPLAY=(\S+)$", proc.stdout, re.MULTILINE) + if not match: + raise RuntimeError(f"No display reported by the demo script:\n{proc.stdout}") + os.environ["DISPLAY"] = match.group(1) + + # Only that the server is up - the camera topic appears later, when the + # simulation starts publishing. The view waits for frames on its own. + if not _wait_for_server(time.time() + 60): + raise RuntimeError(f"web_video_server is not answering on :{VIDEO_PORT} - see /tmp/web_video_server.log") + return os.environ["DISPLAY"] + + +# --------------------------------------------------------------------------- +# Simulation + agent (ported from RAI's manipulation-demo-streamlit.py) +# --------------------------------------------------------------------------- + + +def launch_description() -> LaunchDescription: + launch_moveit = IncludeLaunchDescription( + PythonLaunchDescriptionSource( + [ + "src/examples/rai-manipulation-demo/Project/Examples/panda_moveit_config_demo.launch.py", + ] + ) + ) + launch_robotic_manipulation = Node( + package="robotic_manipulation", + executable="robotic_manipulation", + output="screen", + parameters=[{"use_sim_time": True}], + ) + launch_openset = IncludeLaunchDescription( + PythonLaunchDescriptionSource([FindPackageShare("rai_bringup"), "/launch/openset.launch.py"]), + # v1 tool names alongside v2's, so either agent version can run + launch_arguments={"enable_legacy_service_names": "true"}.items(), + ) + return LaunchDescription([launch_openset, launch_moveit, launch_robotic_manipulation]) + + +def _scenario_for(scenario_path: str) -> Scenario: + return Scenario( + task=None, + scene_config=SceneConfig.load_base_config(Path(scenario_path)), + scene_config_path=scenario_path, + ) + + +def initialize_o3de(scenario_path: str, agent_version: str = "v2"): + """Launch the simulation, the ROS 2 stack and the starting scene.""" + simulation_config = O3DExROS2SimulationConfig.load_config(config_path=Path(O3DE_CONFIG)) + if agent_version == "v2": + # v1 asks for the legacy perception service names, v2 for the new ones + renamed = { + "/grounding_dino_classify": "/detection", + "/grounded_sam_segment": "/segmentation", + } + services = simulation_config.required_robotic_ros2_interfaces["services"] + simulation_config.required_robotic_ros2_interfaces["services"] = [renamed.get(s, s) for s in services] + + scenario = _scenario_for(scenario_path) + o3de = O3DEngineArmManipulationBridge(ROS2Connector(executor_type="multi_threaded")) + o3de.init_simulation(simulation_config=simulation_config) + o3de.launch_robotic_stack( + required_robotic_ros2_interfaces=simulation_config.required_robotic_ros2_interfaces, + launch_description=launch_description(), + ) + o3de.setup_scene(scenario.scene_config) + return o3de, scenario + + +def setup_new_scene(o3de, scenario_path: str) -> Scenario: + scenario = _scenario_for(scenario_path) + o3de.setup_scene(scenario.scene_config) + return scenario + + +def available_layouts() -> dict: + """Layout label -> scene config path, for the layouts the demo ships with.""" + layouts = {} + for scenario in get_scenarios(levels=["medium", "hard", "very_hard"]): + stem = Path(scenario.scene_config_path).stem + if stem in SCENARIO_NAMES: + layouts[SCENARIO_NAMES[stem]] = scenario.scene_config_path + return layouts + + +# --------------------------------------------------------------------------- +# Widget UI +# --------------------------------------------------------------------------- + + +class _ToolCallLog(BaseCallbackHandler): + """Streams the agent's tool calls into an Output widget as they happen. + + Callbacks fire on the worker thread, so this writes with append_stdout - + "with output:" only captures on the thread that entered it. + """ + + def __init__(self, output: widgets.Output): + self.output = output + self._started = {} + + def on_tool_start(self, serialized, input_str, *, run_id=None, **kwargs): + name = (serialized or {}).get("name", "tool") + self._started[run_id] = (name, time.time()) + self.output.append_stdout(f" -> {name}({input_str})\n") + + def on_tool_end(self, output, *, run_id=None, **kwargs): + name, started = self._started.pop(run_id, ("tool", time.time())) + text = str(output).replace("\n", " ") + if len(text) > 200: + text = text[:200] + "..." + self.output.append_stdout(f" <- {name} [{time.time() - started:.1f}s] {text}\n") + + def on_tool_error(self, error, *, run_id=None, **kwargs): + name, _ = self._started.pop(run_id, ("tool", 0)) + self.output.append_stdout(f" !! {name} failed: {error}\n") + + +class ManipulationDemo: + """The Streamlit page's behaviour, as a widget tree in a notebook cell. + + Build it once, then call ``display()``. The camera view runs on its own + thread and each instruction runs on a worker thread, so the kernel stays + responsive while the arm moves. + """ + + def __init__(self, o3de, scenario, agent, camera_tool, fps: int = 6): + self.o3de = o3de + self.scenario = scenario + self.agent = agent + self.camera_tool = camera_tool + self.fps = fps + self.messages = [AIMessage(content=GREETING)] + self.layouts = available_layouts() + + self._stop = threading.Event() + self._camera_thread = None + self._worker = None + + self._build_widgets() + + # -- widgets ---------------------------------------------------------- + + def _build_widgets(self): + self.view = widgets.Image(format="jpeg", width=640, height=360) + self.status = widgets.HTML("Connecting to the simulation camera...") + + current = Path(self.scenario.scene_config_path).stem + self.layout_picker = widgets.Dropdown( + options=list(self.layouts), + value=SCENARIO_NAMES.get(current, next(iter(self.layouts), None)), + description="Layout:", + ) + self.layout_picker.observe(self._on_layout_change, names="value") + + self.reload_button = widgets.Button(description="Reload layout", tooltip="Rebuild the current scene") + self.reload_button.on_click(lambda _: self._change_layout(self.layout_picker.value)) + + self.clear_button = widgets.Button( + description="Clear history", + tooltip="Forget previous tool results so the agent re-checks the scene", + ) + self.clear_button.on_click(self._on_clear) + + self.log = widgets.Output( + layout=widgets.Layout(height="360px", overflow_y="auto", border="1px solid #ddd", padding="6px") + ) + self.entry = widgets.Text( + placeholder="Tell the arm what to do, then press Enter", + layout=widgets.Layout(width="100%"), + ) + # on_submit is the only hook for the Enter key; ipywidgets 8 deprecates + # it without offering a replacement, so just keep the notice out of the + # cell output. + with warnings.catch_warnings(): + warnings.simplefilter("ignore", DeprecationWarning) + self.entry.on_submit(self._on_submit) + + self.send_button = widgets.Button(description="Send", button_style="primary") + self.send_button.on_click(lambda _: self._on_submit(self.entry)) + + self.log.append_stdout(f"assistant: {GREETING}\n\n") + + left = widgets.VBox( + [ + self.view, + self.status, + self.layout_picker, + widgets.HBox([self.reload_button, self.clear_button]), + ] + ) + right = widgets.VBox( + [ + self.log, + widgets.HBox( + [self.entry, self.send_button], + layout=widgets.Layout(width="100%"), + ), + ], + layout=widgets.Layout(width="100%"), + ) + self.ui = widgets.HBox([left, right]) + + def display(self): + self._start_camera() + display(self.ui) + return self + + # -- camera ----------------------------------------------------------- + + def _start_camera(self): + if self._camera_thread and self._camera_thread.is_alive(): + return + self._stop.clear() + self._camera_thread = threading.Thread(target=self._pump_frames, daemon=True) + self._camera_thread.start() + + def _pump_frames(self): + """One long-lived MJPEG connection, split on the JPEG markers. + + Polling /snapshot per frame instead would churn through subscribers and + eventually hang web_video_server. + """ + url = camera_url("stream", quality=70, width=640, height=360) + while not self._stop.is_set(): + try: + with requests.get(url, stream=True, timeout=30) as r: + buf, last = b"", 0.0 + for chunk in r.iter_content(8192): + if self._stop.is_set(): + return + buf += chunk + while True: + start, end = buf.find(b"\xff\xd8"), buf.find(b"\xff\xd9") + if start == -1 or end == -1 or end < start: + break + frame, buf = buf[start : end + 2], buf[end + 2 :] + now = time.time() + if now - last >= 1 / self.fps: + self.view.value = frame + if self.status.value: + self.status.value = "" + last = now + except requests.RequestException: + # The stream is empty until O3DE renders its first frame, and + # drops if web_video_server is restarted - reconnect either way. + self.status.value = "Waiting for the simulation camera..." + time.sleep(5) + + def stop(self): + """Stop the camera thread. The simulation keeps running.""" + self._stop.set() + + # -- chat ------------------------------------------------------------- + + def _busy(self) -> bool: + return self._worker is not None and self._worker.is_alive() + + def _set_enabled(self, enabled: bool): + for w in (self.entry, self.send_button, self.layout_picker, self.reload_button, self.clear_button): + w.disabled = not enabled + + def _on_submit(self, sender): + instruction = sender.value.strip() + if not instruction or self._busy(): + return + sender.value = "" + self._set_enabled(False) + self.log.append_stdout(f"you: {instruction}\n") + self._worker = threading.Thread(target=self._run_agent, args=(instruction,), daemon=True) + self._worker.start() + + def _run_agent(self, instruction: str): + started = time.time() + try: + # The agent starts from what the camera sees, like the chat panel does + _, artifact = self.camera_tool._run() + message = HumanMultimodalMessage(content=instruction, images=artifact.get("images", [])) + self.messages.append(message) + result = self.agent.invoke( + {"messages": self.messages}, + config=RunnableConfig( + { + "callbacks": [_ToolCallLog(self.log)], + "recursion_limit": 100, + } + ), + ) + self.messages = result["messages"] + reply = result["messages"][-1].content + self.log.append_stdout(f"assistant: {reply}\n({time.time() - started:.0f}s)\n\n") + except Exception: + self.log.append_stdout(f"error:\n{traceback.format_exc()}\n") + finally: + self._set_enabled(True) + + def _reset_history(self): + # Drops cached tool results, so the agent looks at the scene again + # instead of trusting an observation from a previous task + self.messages = [AIMessage(content=GREETING)] + self.log.outputs = () + self.log.append_stdout(f"assistant: {GREETING}\n\n") + + def _on_clear(self, _): + # Guard only the button: the scene worker calls _reset_history directly, + # since it is itself the thread _busy() would report. + if self._busy(): + return + self._reset_history() + + # -- scene ------------------------------------------------------------ + + def _on_layout_change(self, change): + self._change_layout(change["new"]) + + def _change_layout(self, label: str): + if self._busy(): + return + path = self.layouts.get(label) + if path is None: + return + self._set_enabled(False) + self.log.append_stdout(f"[scene] loading {label}...\n") + + def work(): + try: + self.o3de.clear_scene() + except Exception as exc: + self.log.append_stdout(f"[scene] could not clear: {exc}\n") + try: + self.scenario = setup_new_scene(self.o3de, path) + self._reset_history() + self.log.append_stdout(f"[scene] {label} ready\n\n") + except Exception: + self.log.append_stdout(f"[scene] failed:\n{traceback.format_exc()}\n") + finally: + self._set_enabled(True) + + self._worker = threading.Thread(target=work, daemon=True) + self._worker.start() + + +def build_demo( + layout: str = "3 Red Cubes", + agent_version: str = "v2", + model: str = DEFAULT_MODEL, + progress=print, +) -> ManipulationDemo: + """Everything the Streamlit page did at startup, in one call. + + Takes a few minutes: the scene has to render and the ROS 2 stack has to come + up before the agent can see anything. + """ + os.chdir(RAI_DIR) + + progress("Starting Lemonade and pointing RAI at it...") + ensure_lemonade(model) + + progress("Starting the headless display and camera stream...") + progress(f" display {start_infrastructure()}") + + layouts = available_layouts() + if layout not in layouts: + raise ValueError(f"Unknown layout {layout!r} - pick one of {list(layouts)}") + + progress("Launching the simulation and the ROS 2 stack (a few minutes)...") + o3de, scenario = initialize_o3de(layouts[layout], agent_version=agent_version) + + progress("Building the agent...") + # Imported here rather than at module scope: manipulation_common reads RAI's + # config.toml, which ensure_lemonade has only just pointed at Lemonade. + sys.path.insert(0, str(RAI_DIR / "examples")) + from manipulation_common import create_agent + + agent, camera_tool = create_agent(version=agent_version) + + progress("Ready.") + return ManipulationDemo(o3de, scenario, agent, camera_tool) diff --git a/runtime/values.yaml b/runtime/values.yaml index 9b017def..55fef618 100644 --- a/runtime/values.yaml +++ b/runtime/values.yaml @@ -632,6 +632,17 @@ singleuser: storage: dynamic: storageClass: local-path + # Containers get a 64Mi /dev/shm by default, which is far too small for the + # ROS 2 courses - Fast-DDS allocates its shared-memory transport there and + # fails with "open_and_lock_file failed", silently degrading to UDP. + extraVolumes: + - name: dshm + emptyDir: + medium: Memory + sizeLimit: 2Gi + extraVolumeMounts: + - name: dshm + mountPath: /dev/shm # Use NodePort for direct access proxy: From efa9c5340eb09af0bb7d7443b4b614f64cbf71ce Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Luiz=20Godoy?= Date: Tue, 11 Aug 2026 13:33:48 -0700 Subject: [PATCH 06/35] Explain the RAI stack in the robot agents notebook Add a Behind the scenes section after the demo: an architecture diagram, the agent's LangGraph, the ROS 2 topic list, and the system prompt RAI generates from the embodiment file. Fix the chat log overlapping the prompt box for manipulation demo. --- projects/LocalInference/03_robot_agents.ipynb | 863 +++++++++--------- .../images/rai_architecture.png | Bin 0 -> 606478 bytes projects/LocalInference/notebook_demo.py | 159 +++- 3 files changed, 560 insertions(+), 462 deletions(-) create mode 100644 projects/LocalInference/images/rai_architecture.png diff --git a/projects/LocalInference/03_robot_agents.ipynb b/projects/LocalInference/03_robot_agents.ipynb index 05ecaa7d..2ce5dc82 100644 --- a/projects/LocalInference/03_robot_agents.ipynb +++ b/projects/LocalInference/03_robot_agents.ipynb @@ -1,452 +1,429 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Robot Agents with RAI\n", - "\n", - "![](images/manipulation_demo.gif)\n", - "\n", - "RAI (Robot Agent Interface) is an open-source framework from Robotec.ai for building and deploying Embodied AI agents on robots. It connects a model to a robot's ROS 2 stack, letting the it perceive the scene, reason on a natural-language instruction, and call the robot's tools to carry it out.\n", - "\n", - "In this notebook the robot is a Franka Panda arm in an O3DE simulation, and the model behind the agent is the same Lemonade server from the previous notebook. Therefore, reasoning continues to run on your Radeon GPU, keeping privacy.\n", - "\n", - "## Goals\n", - "\n", - "* Learn how to use AI Agents for Physical AI\n", - "* Run a simulated robot commanded by a local LLM" - ], - "id": "71fcfc6e139f" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## How the demo fits together\n", - "\n", - "Four pieces run side by side inside this container:\n", - "\n", - "| Piece | Role |\n", - "| --- | --- |\n", - "| **O3DE simulation** | Physics + rendering of the arm, the table and the objects; publishes camera images and accepts joint commands over ROS 2 |\n", - "| **ROS 2 stack** | MoveIt for motion planning, plus the perception services (object detection and segmentation) the agent uses to find objects |\n", - "| **RAI agent** | Turns your instruction into a sequence of tool calls (look at the camera, locate objects, move the arm) |\n", - "| **Lemonade** | Serves the model that does the reasoning |\n", - "\n", - "The agent never gets object coordinates for free: it takes a picture through the simulated camera, runs detection on it, and plans from what it sees, the same loop a real robot would run." - ], - "id": "bc9d7269b5f7" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Start the demo\n", - "\n", - "Everything runs inside this notebook: the simulation, the ROS 2 stack, the agent and the chat. The cell below brings all of it up and renders the demo as its own output, so there is no second tab to open and no separate server to reach.\n", - "\n", - "Give it a few minutes the first time. The scene has to render on the iGPU, and MoveIt and the perception services have to come up before the arm can act on anything.\n", - "\n", - "#### (Optional) - Use a different local model\n", - "\n", - "`build_demo` takes a `model=` argument naming the Lemonade model the agent reasons with. It defaults to **Gemma-4-E2B-it-GGUF**, and `layout=` picks the starting scene.\n" - ], - "id": "883c8d1a67a2" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "\n", - "# notebook_demo.py sits next to the other demo scripts\n", - "sys.path.insert(0, \"/ryzers\")\n", - "\n", - "# Importing this initializes rclpy before torch gets loaded - the order matters,\n", - "# see the note at the top of notebook_demo.py\n", - "from notebook_demo import build_demo\n", - "\n", - "demo = build_demo(layout=\"3 Red Cubes\")\n", - "demo.display()\n" - ], - "id": "c00f9c973d94" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Suggested Prompts\n", - "\n", - "Type into the box under the chat log to command the robot agent — each instruction is reasoned about and executed by your local Gemma model on the iGPU, nothing leaving the machine:\n", - "\n", - "- **Reason first:** \"What objects can you see on the table, and where are they?\"\n", - "\n", - "- **Relocate:** \"Move the red cube to the left side of the table.\"\n", - "\n", - "- **Stack objects:** \"Stack the cubes on top of each other.\"\n", - "\n", - "- **Sort by color:** \"Group the cubes by color.\"\n", - "\n", - "Watch the tool calls the agent prints as it works: it takes a camera image, calls `get_object_positions` to locate what it saw, and then issues arm movements. When something goes wrong it is usually visible there — a missed detection, or a grasp the planner couldn't reach.\n", - "\n", - "The controls on the left switch scene layouts (more cubes, apples, carrots) and clear the conversation history, which is worth doing between tasks so the agent re-checks the scene instead of trusting an old observation.\n", - "\n", - "The camera view and the chat run on their own threads, so the kernel stays free while the arm moves — you can keep running the cells below without stopping the demo.\n" - ], - "id": "459ea3eacb67" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Peek at what the robot sees\n", - "\n", - "The agent's view of the world is the `/color_image5` camera topic. `web_video_server` serves it over HTTP, which is what the simulation panel displays. Hence, this means that we can grab a frame straight from this notebook." - ], - "id": "71a81d899b4b" - }, - { - "cell_type": "code", - "metadata": {}, - "source": [ - "import requests\n", - "import matplotlib.pyplot as plt\n", - "from PIL import Image\n", - "from io import BytesIO\n", - "\n", - "# web_video_server wants the topic unescaped, so keep it in the URL itself\n", - "SNAPSHOT_URL = \"http://localhost:8080/snapshot?topic=/color_image5&quality=80\"\n", - "\n", - "r = requests.get(SNAPSHOT_URL, timeout=30)\n", - "r.raise_for_status()\n", - "\n", - "plt.figure(figsize=(8, 4.5))\n", - "plt.imshow(Image.open(BytesIO(r.content)))\n", - "plt.axis(\"off\")\n", - "plt.title(\"Live view from the simulated camera\")\n", - "plt.show()" - ], - "execution_count": 1, - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": 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", 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    " - ] - }, - "metadata": {} - } - ], - "id": "63d739876d04" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Test OpenAI API Server Directly\n", - "\n", - "The Streamlit page is only a front-end. The agent behind it is a plain object you can build and call yourself — which is worth doing once, because it makes the whole loop concrete.\n", - "\n", - "In the previous notebook we POSTed a message to Lemonade and got text back. Here we hand an instruction to the agent, and it makes that same call under the hood — except the answer arrives as *motion*: the model decides which tools to call, and the arm moves. So we record the simulation camera while it works and play the result back as a video.\n", - "\n", - "Keep the demo from the previous section running — this uses the simulation and the ROS 2 stack it started." - ], - "id": "c1228f106bd2" - }, - { - "cell_type": "code", - "metadata": {}, - "source": [ - "import os\n", - "import sys\n", - "\n", - "# rclpy.init() must happen before torch is loaded: torch's bundled C++\n", - "# runtime corrupts the heap for rcl's init, aborting the kernel with\n", - "# \"free(): invalid size\". RAI's connector skips its own init if rclpy is\n", - "# already up, and recommends initializing manually anyway.\n", - "import rclpy\n", - "\n", - "if not rclpy.ok():\n", - " rclpy.init()\n", - "\n", - "# RAI resolves its embodiment description and config.toml relative to the repo root\n", - "sys.path.insert(0, \"/ryzers/rai/examples\")\n", - "os.chdir(\"/ryzers/rai\")\n", - "os.environ.setdefault(\"OPENAI_API_KEY\", \"lemonade\") # dummy key, Lemonade ignores it\n", - "\n", - "from manipulation_common import create_agent\n", - "\n", - "# Builds the LLM client (pointed at Lemonade by lemonade_env.sh) and the robot's\n", - "# tools: look through the camera, locate objects, move the arm, reset the arm\n", - "agent, camera_tool = create_agent(version=\"v2\")\n", - "\n", - "print(\"Agent ready\")" - ], - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "text": [ - "UserWarning: Using the native apex kernel for RoPE.\n", - "FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC ROS2Connector[33] WARNING Auto-initializing ROS2, but manual initialization is recommended. For better control and predictability, call rclpy.init() or ROS2Context before creating this connector.\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.timeout_sec = 60.0\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.conversion_ratio = 1.0\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.output_point_label = \n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.output_description_suffix = \n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_topic = /color_image5\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.depth_topic = /depth_image5\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_info_topic = /color_camera_info5\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.target_frame = panda_link0\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.source_frame = RGBDCamera5\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] WARNING GetObjectGrippingPointsTool: Some required topics are not currently available:\n", - " Missing topics: ['/color_image5', '/depth_image5', '/color_camera_info5']\n", - " Note: Topics may not be available yet (this is an early check).\n", - " If topics remain unavailable after waiting, check for topic name mismatches.\n", - " To remap to your robot/simulation topics, set ROS2 parameters before tool initialization:\n", - " node.declare_parameter('perception.gripping_points.camera_topic', '/your/robot/camera/topic')\n", - " node.declare_parameter('perception.gripping_points.depth_topic', '/your/robot/depth/topic')\n", - " node.declare_parameter('perception.gripping_points.camera_info_topic', '/your/robot/camera_info/topic')\n", - "[INFO] [1785366339.763420956] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool initialized\n", - "[INFO] [1785366339.764039468] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool configuration: target_frame='panda_link0', source_frame='RGBDCamera5', camera_topic='/color_image5', depth_topic='/depth_image5', camera_info_topic='/color_camera_info5', conversion_ratio=1.0\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_topic = /color_image5\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.depth_topic = /depth_image5\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_info_topic = /color_camera_info5\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.target_frame = panda_link0\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.source_frame = RGBDCamera5\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.timeout_sec = 60.0\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.conversion_ratio = 1.0\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.output_point_label = \n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.output_description_suffix = \n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] WARNING GetObjectGrippingPointsTool: Some required topics are not currently available:\n", - " Missing topics: ['/color_image5', '/depth_image5', '/color_camera_info5']\n", - " Note: Topics may not be available yet (this is an early check).\n", - " If topics remain unavailable after waiting, check for topic name mismatches.\n", - " To remap to your robot/simulation topics, set ROS2 parameters before tool initialization:\n", - " node.declare_parameter('perception.gripping_points.camera_topic', '/your/robot/camera/topic')\n", - " node.declare_parameter('perception.gripping_points.depth_topic', '/your/robot/depth/topic')\n", - " node.declare_parameter('perception.gripping_points.camera_info_topic', '/your/robot/camera_info/topic')\n", - "[INFO] [1785366339.766164603] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool initialized\n", - "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai.communication.ros2.waiters[33] INFO Waiting for service {'/detection', '/segmentation'}...\n", - "[INFO] [1785366339.766382733] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool configuration: target_frame='panda_link0', source_frame='RGBDCamera5', camera_topic='/color_image5', depth_topic='/depth_image5', camera_info_topic='/color_camera_info5', conversion_ratio=1.0\n", - "2026-07-29 23:05:40 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai.initialization.model_initialization[33] INFO Initializing complex_model: Vendor: openai, Model: Gemma-4-E2B-it-GGUF\n" - ], - "name": "stdout" - }, - { - "output_type": "stream", - "text": [ - "Agent ready\n" - ], - "name": "stdout" - } - ], - "id": "4d34ef09608f" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Send an instruction and record the result\n", - "\n", - "`agent.invoke` blocks until the agent is done — it may take a few minutes, since every step is a full round trip through the local model. While it works, a background thread pulls frames from the same MJPEG endpoint the simulation panel uses and encodes them into an MP4.\n", - "\n", - "Change `INSTRUCTION` to whatever you want the arm to do; keep it to objects that are actually in the current scene layout." - ], - "id": "5702cb0b43f4" - }, - { - "cell_type": "code", - "metadata": {}, - "source": [ - "import subprocess\n", - "import threading\n", - "import time\n", - "\n", - "import requests # also imported by the snapshot cell above, which may not have run\n", - "\n", - "from IPython.display import Video, display\n", - "from rai.messages import HumanMultimodalMessage\n", - "\n", - "RECORD_URL = (\n", - " \"http://localhost:8080/stream?topic=/color_image5&quality=70&width=960&height=540\"\n", - ")\n", - "VIDEO_PATH = \"/ryzers/notebooks/agent_run.mp4\"\n", - "\n", - "\n", - "class SimulationRecorder:\n", - " \"\"\"Capture the simulation camera into an MP4 while the agent works.\"\"\"\n", - "\n", - " def __init__(self, path=VIDEO_PATH, fps=4):\n", - " self.path, self.fps = path, fps\n", - " self.frames, self._stop = [], threading.Event()\n", - "\n", - " def _grab(self):\n", - " # One long-lived MJPEG connection, split into frames on the JPEG markers.\n", - " # (Polling /snapshot per frame instead would churn through subscribers\n", - " # and eventually hang web_video_server.)\n", - " try:\n", - " with requests.get(RECORD_URL, stream=True, timeout=30) as r:\n", - " buf, last = b\"\", 0.0\n", - " for chunk in r.iter_content(8192):\n", - " if self._stop.is_set():\n", - " return\n", - " buf += chunk\n", - " while True:\n", - " start, end = buf.find(b\"\\xff\\xd8\"), buf.find(b\"\\xff\\xd9\")\n", - " if start == -1 or end == -1 or end < start:\n", - " break\n", - " frame, buf = buf[start : end + 2], buf[end + 2 :]\n", - " now = time.time()\n", - " if now - last >= 1 / self.fps: # thin out to the target rate\n", - " self.frames.append(frame)\n", - " last = now\n", - " except requests.RequestException:\n", - " pass\n", - "\n", - " def __enter__(self):\n", - " self._started = time.time()\n", - " self._thread = threading.Thread(target=self._grab, daemon=True)\n", - " self._thread.start()\n", - " return self\n", - "\n", - " def __exit__(self, *exc):\n", - " self._stop.set()\n", - " self._thread.join(timeout=5)\n", - " if not self.frames:\n", - " # The grab thread blocks in iter_content when web_video_server stops\n", - " # answering, so joining it times out and no frames ever arrive.\n", - " print(\n", - " \"No frames captured - web_video_server is not responding.\\n\"\n", - " \"Restart it from a terminal:\\n\"\n", - " \" pkill -9 -f web_video_server\\n\"\n", - " \" source /opt/ros/$ROS_DISTRO/setup.bash\\n\"\n", - " \" setsid ros2 run web_video_server web_video_server \"\n", - " \"--ros-args -p port:=8080 /tmp/wvs.log 2>&1 &\"\n", - " )\n", - " return\n", - " # Encode at the rate we actually captured, so playback runs at real speed\n", - " rate = max(len(self.frames) / (time.time() - self._started), 1)\n", - " ffmpeg = subprocess.Popen(\n", - " [\"ffmpeg\", \"-y\", \"-loglevel\", \"error\",\n", - " \"-f\", \"image2pipe\", \"-vcodec\", \"mjpeg\", \"-framerate\", f\"{rate:.2f}\", \"-i\", \"-\",\n", - " \"-vcodec\", \"libx264\", \"-pix_fmt\", \"yuv420p\", \"-vf\", \"fps=15\", self.path],\n", - " stdin=subprocess.PIPE,\n", - " )\n", - " ffmpeg.communicate(b\"\".join(self.frames))" - ], - "execution_count": 3, - "outputs": [], - "id": "94efd2f02722" - }, - { - "cell_type": "code", - "metadata": {}, - "source": [ - "INSTRUCTION = \"Pick up any cube and place it on top of another cube.\"\n", - "\n", - "# The agent starts from what the camera sees, exactly like the chat panel does\n", - "_, artifact = camera_tool._run()\n", - "message = HumanMultimodalMessage(content=INSTRUCTION, images=artifact.get(\"images\", []))\n", - "\n", - "start = time.time()\n", - "with SimulationRecorder():\n", - " result = agent.invoke({\"messages\": [message]}, config={\"recursion_limit\": 100})\n", - "\n", - "print(f\"{result['messages'][-1].content}\\n\\n(took {time.time() - start:.0f}s)\")\n", - "display(Video(VIDEO_PATH, embed=True, width=640))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "2026-07-29 23:07:45 HP-Z2-Mini-G1a-Workstation-Desktop-PC httpx[33] INFO HTTP Request: POST http://localhost:13305/api/v0/chat/completions \"HTTP/1.1 200 OK\"\n" - ], - "name": "stdout" - } - ], - "id": "b6695d522798" - }, + "cells": [ + { + "cell_type": "markdown", + "id": "71fcfc6e139f", + "metadata": {}, + "source": "# Robot Agents with RAI\n\nRAI (Robot Agent Interface) is an open-source framework from Robotec.ai for building and deploying Embodied AI agents on robots. It connects a model to a robot's ROS 2 stack, letting it perceive the scene, reason on a natural-language instruction, and call the robot's tools to carry it out.\n\nIn this notebook the robot is a Franka Panda arm in an O3DE simulation, and the model behind the agent is the same Lemonade server from the previous notebook. Reasoning therefore continues to run on your Radeon GPU, keeping everything private.\n\n## Goals\n\n* Learn how to use AI Agents for Physical AI\n* Run a simulated robot commanded by a local LLM" + }, + { + "cell_type": "markdown", + "id": "bc9d7269b5f7", + "metadata": {}, + "source": [ + "## How the demo fits together\n", + "\n", + "Four pieces run side by side inside this container:\n", + "\n", + "| Piece | Role |\n", + "| --- | --- |\n", + "| **O3DE simulation** | Physics + rendering of the arm, the table and the objects; publishes camera images and accepts joint commands over ROS 2 |\n", + "| **ROS 2 stack** | MoveIt for motion planning, plus the perception services (object detection and segmentation) the agent uses to find objects |\n", + "| **RAI agent** | Turns your instruction into a sequence of tool calls (look at the camera, locate objects, move the arm) |\n", + "| **Lemonade** | Serves the model that does the reasoning |\n", + "\n", + "The agent never gets object coordinates for free: it takes a picture through the simulated camera, runs detection on it, and plans from what it sees, the same loop a real robot would run." + ] + }, + { + "cell_type": "markdown", + "id": "883c8d1a67a2", + "metadata": {}, + "source": [ + "## Start the demo\n", + "\n", + "Everything runs inside this notebook: the simulation, the ROS 2 stack, the agent and the chat. The cell below brings all of it up and renders the demo as its own output, so there is no second tab to open and no separate server to reach.\n", + "\n", + "Give it a few minutes the first time. The scene has to render on the iGPU, and MoveIt and the perception services have to come up before the arm can act on anything.\n", + "\n", + "#### (Optional) - Use a different local model\n", + "\n", + "`build_demo` takes a `model=` argument naming the Lemonade model the agent reasons with. It defaults to **Gemma-4-E2B-it-GGUF**, and `layout=` picks the starting scene.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c00f9c973d94", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "\n", + "# notebook_demo.py sits next to the other demo scripts\n", + "sys.path.insert(0, \"/ryzers\")\n", + "\n", + "# Importing this initializes rclpy before torch gets loaded - the order matters,\n", + "# see the note at the top of notebook_demo.py\n", + "from notebook_demo import build_demo\n", + "\n", + "demo = build_demo(layout=\"3 Red Cubes\")\n", + "demo.display()\n" + ] + }, + { + "cell_type": "markdown", + "id": "459ea3eacb67", + "metadata": {}, + "source": "## Suggested Prompts\n\nType into the box under the chat log to command the robot agent; each instruction is reasoned about and executed by your local Gemma model:\n\n- **Reason first:** \"What objects can you see on the table, and where are they?\"\n\n- **Relocate:** \"Move the red cube to the left side of the table.\"\n\n- **Stack objects:** \"Stack the cubes on top of each other.\"\n\n- **Sort by color:** \"Group the cubes by color.\"\n\nWatch the tool calls the agent prints as it works: it takes a camera image, calls `get_object_positions` to locate what it saw, and then issues arm movements. When the agent commits an error it is visible on the simulation's logs on chat, such as a missed detection, or a grasp the planner couldn't reach.\n\nUse the controls on the left to load a different scene layout or to clear the conversation history before trying another instruction.\n" + }, + { + "cell_type": "markdown", + "id": "fc79a52e", + "metadata": {}, + "source": "## Behind the scenes\n\n![](images/rai_architecture.png)\n\nFour processes, one loop. O3DE publishes what the camera sees, the agent decides what to do about it, MoveIt turns that decision into a trajectory, and the controllers feed joint states back to the simulation. Lemonade sits off to the side as the only piece doing any reasoning, and it processes every request locally on your own machine.\n\nThe two cells below print the two halves of that picture: first the agent, then the ROS 2 graph it is plugged into." + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b23118f9", + "metadata": {}, + "outputs": [], + "source": "# The agent draws itself. It is a LangGraph state machine with three nodes:\n# the model runs, and depending on whether it asked for a tool the graph either\n# routes to `tools` and loops back, or stops.\ndemo.agent" + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36c6893f", + "metadata": {}, + "outputs": [], + "source": "!ros2 topic list --no-daemon --spin-time 3" + }, + { + "cell_type": "markdown", + "id": "2e96a5a4", + "metadata": {}, + "source": "Both halves are one program. RAI is a LangChain application: `create_agent` builds a handful of LangChain tools, binds them to the model Lemonade is serving, and wraps them in the LangGraph loop drawn above. The model either answers or emits a tool call, the `tools` node runs it, and the result is appended to the conversation and fed back in.\n\nThe tools themselves are generic, since `get_ros2_camera_image` reads whatever topic it is handed. The wiring to this particular robot is therefore configuration rather than code. When the agent is built, RAI remaps each tool onto the simulation's actual topic names, `camera_topic`: `/color_image5`, `depth_topic`: `/depth_image5`, `camera_info_topic`: `/color_camera_info5`, and transforms every detection out of the camera frame `RGBDCamera5` into `panda_link0`, the arm's base. Those are the same names the topic list just printed, so the agent's tools and the ROS 2 graph are one system seen from either end." + }, + { + "cell_type": "markdown", + "id": "be7847e2", + "metadata": {}, + "source": "### System prompt\n\nThe agent's system prompt is not written in the code. It is generated from an embodiment file, `examples/embodiments/manipulation_embodiment.json`, which describes the robot in four parts: what it is, the rules it must obey, what it is physically capable of, and how it should behave. RAI renders those into the block below and prepends it to every conversation, so this is verbatim the context your Gemma model reads before it ever sees your instruction." + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dae3b95a", + "metadata": {}, + "outputs": [], + "source": "from rai_whoami.models import EmbodimentInfo\n\nEMBODIMENT = \"/ryzers/rai/examples/embodiments/manipulation_embodiment.json\"\n\n# to_langchain() builds the SystemMessage the agent prepends to every conversation.\n# Its content is a list of multimodal parts, so printing it directly shows the\n# dicts and escaped newlines; join the text parts instead to read it as prose.\nsystem_message = EmbodimentInfo.from_file(EMBODIMENT).to_langchain()\n\nprint(\"\".join(p[\"text\"] for p in system_message.content if p[\"type\"] == \"text\"))" + }, + { + "cell_type": "markdown", + "id": "fa619c67", + "source": "> **Note:** Notice that the detection tool cannot tell colors apart, so the agent has to ask for a category such as \"cube\" and then pick the red one out of the camera image itself. Notice also that cubes are declared to be 5 cm tall. The perception pipeline returns a single point for each object and reports its size as unknown, so that one line in the prompt is what lets the agent stack cubes at the right height.", + "metadata": {} + }, + { + "cell_type": "markdown", + "id": "71a81d899b4b", + "metadata": {}, + "source": "### Peek at what the robot sees\n\nThe agent's view of the world is the `/color_image5` camera topic. `web_video_server` serves it over HTTP, which is what the simulation panel displays, so we can grab a frame straight from this notebook." + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "63d739876d04", + "metadata": {}, + "outputs": [ { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Every tool call the agent made is in `result[\"messages\"]` — worth reading to see how it got there:\n", - "\n", - "```python\n", - "for m in result[\"messages\"]:\n", - " m.pretty_print()\n", - "```\n", - "\n", - "If the video comes back empty, the camera stream has usually gone stale after processes were killed (Fast-DDS leaves shared-memory segments behind in `/dev/shm`). Restart just that node in a terminal:\n", - "\n", - "```bash\n", - "pkill -9 -f web_video_server # a wedged server ignores SIGTERM\n", - "setsid ros2 run web_video_server web_video_server --ros-args -p port:=8080 \\\n", - " /tmp/wvs.log 2>&1 &\n", - "```" - ], - "id": "2c294f812f35" - }, + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import requests\n", + "import matplotlib.pyplot as plt\n", + "from PIL import Image\n", + "from io import BytesIO\n", + "\n", + "# web_video_server wants the topic unescaped, so keep it in the URL itself\n", + "SNAPSHOT_URL = \"http://localhost:8080/snapshot?topic=/color_image5&quality=80\"\n", + "\n", + "r = requests.get(SNAPSHOT_URL, timeout=30)\n", + "r.raise_for_status()\n", + "\n", + "plt.figure(figsize=(8, 4.5))\n", + "plt.imshow(Image.open(BytesIO(r.content)))\n", + "plt.axis(\"off\")\n", + "plt.title(\"Live view from the simulated camera\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c1228f106bd2", + "metadata": {}, + "source": "## Test OpenAI API Server Directly\n\nThe chat panel above is only a front end. The agent behind it is a plain object you can build and call yourself, which is worth doing once because it makes the whole loop concrete.\n\nIn the previous notebook we POSTed a message to Lemonade and got text back. Here we hand an instruction to the agent, and it makes that same call under the hood, except that the answer arrives as motion: the model decides which tools to call, and the arm moves. We therefore record the simulation camera while it works and play the result back as a video.\n\nKeep the demo from the previous section running, since this uses the simulation and the ROS 2 stack it started." + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4d34ef09608f", + "metadata": {}, + "outputs": [ { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Key Takeaways\n", - "\n", - "Now you know:\n", - "- How a robot agent is wired: simulation and ROS 2 tools on one side, a locally served LLM on the other\n", - "- How to point RAI at a Lemonade model with `lemonade_env.sh`, and swap that model out\n", - "- How to run a GPU-rendered simulation with no monitor, using a headless compositor plus Xwayland\n", - "- How to command a simulated manipulator in natural language, and read the agent's tool calls to see how it got there\n", - "\n", - "## What to Try Next\n", - "\n", - "- Ask for a task the arm can't reach or see, and watch how the agent recovers\n", - "- Swap in a different local model and compare how reliably each one calls the right tools\n", - "- Change the scene layout in the sidebar and repeat the same instruction\n", - "- Explore RAI's benchmarks (`rai_bench`) to score models on tool calling and manipulation with your local model" - ], - "id": "55c3138cadb2" + "name": "stdout", + "output_type": "stream", + "text": [ + "UserWarning: Using the native apex kernel for RoPE.\n", + "FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC ROS2Connector[33] WARNING Auto-initializing ROS2, but manual initialization is recommended. For better control and predictability, call rclpy.init() or ROS2Context before creating this connector.\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.timeout_sec = 60.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.conversion_ratio = 1.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.output_point_label = \n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Auto-declared parameter perception.gripping_points.output_description_suffix = \n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_topic = /color_image5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.depth_topic = /depth_image5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_info_topic = /color_camera_info5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.target_frame = panda_link0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.source_frame = RGBDCamera5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] WARNING GetObjectGrippingPointsTool: Some required topics are not currently available:\n", + " Missing topics: ['/color_image5', '/depth_image5', '/color_camera_info5']\n", + " Note: Topics may not be available yet (this is an early check).\n", + " If topics remain unavailable after waiting, check for topic name mismatches.\n", + " To remap to your robot/simulation topics, set ROS2 parameters before tool initialization:\n", + " node.declare_parameter('perception.gripping_points.camera_topic', '/your/robot/camera/topic')\n", + " node.declare_parameter('perception.gripping_points.depth_topic', '/your/robot/depth/topic')\n", + " node.declare_parameter('perception.gripping_points.camera_info_topic', '/your/robot/camera_info/topic')\n", + "[INFO] [1785366339.763420956] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool initialized\n", + "[INFO] [1785366339.764039468] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool configuration: target_frame='panda_link0', source_frame='RGBDCamera5', camera_topic='/color_image5', depth_topic='/depth_image5', camera_info_topic='/color_camera_info5', conversion_ratio=1.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_topic = /color_image5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.depth_topic = /depth_image5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.camera_info_topic = /color_camera_info5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.target_frame = panda_link0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.source_frame = RGBDCamera5\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.timeout_sec = 60.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.conversion_ratio = 1.0\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.output_point_label = \n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] INFO Overridden parameter perception.gripping_points.output_description_suffix = \n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai_perception.tools.gripping_points_tools[33] WARNING GetObjectGrippingPointsTool: Some required topics are not currently available:\n", + " Missing topics: ['/color_image5', '/depth_image5', '/color_camera_info5']\n", + " Note: Topics may not be available yet (this is an early check).\n", + " If topics remain unavailable after waiting, check for topic name mismatches.\n", + " To remap to your robot/simulation topics, set ROS2 parameters before tool initialization:\n", + " node.declare_parameter('perception.gripping_points.camera_topic', '/your/robot/camera/topic')\n", + " node.declare_parameter('perception.gripping_points.depth_topic', '/your/robot/depth/topic')\n", + " node.declare_parameter('perception.gripping_points.camera_info_topic', '/your/robot/camera_info/topic')\n", + "[INFO] [1785366339.766164603] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool initialized\n", + "2026-07-29 23:05:39 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai.communication.ros2.waiters[33] INFO Waiting for service {'/detection', '/segmentation'}...\n", + "[INFO] [1785366339.766382733] [rai_ros2_connector_4b0ceb47785f]: GetObjectGrippingPointsTool configuration: target_frame='panda_link0', source_frame='RGBDCamera5', camera_topic='/color_image5', depth_topic='/depth_image5', camera_info_topic='/color_camera_info5', conversion_ratio=1.0\n", + "2026-07-29 23:05:40 HP-Z2-Mini-G1a-Workstation-Desktop-PC rai.initialization.model_initialization[33] INFO Initializing complex_model: Vendor: openai, Model: Gemma-4-E2B-it-GGUF\n" + ] }, { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## References\n", - "\n", - "* [RAI](https://github.com/RobotecAI/rai)\n", - "* [O3DE](https://o3de.org/)\n", - "* [Lemonade](https://lemonade-server.ai/)" - ], - "id": "c6ccbaf8f07a" + "name": "stdout", + "output_type": "stream", + "text": [ + "Agent ready\n" + ] } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.3" + ], + "source": [ + "import os\n", + "import sys\n", + "\n", + "# rclpy.init() must happen before torch is loaded: torch's bundled C++\n", + "# runtime corrupts the heap for rcl's init, aborting the kernel with\n", + "# \"free(): invalid size\". RAI's connector skips its own init if rclpy is\n", + "# already up, and recommends initializing manually anyway.\n", + "import rclpy\n", + "\n", + "if not rclpy.ok():\n", + " rclpy.init()\n", + "\n", + "# RAI resolves its embodiment description and config.toml relative to the repo root\n", + "sys.path.insert(0, \"/ryzers/rai/examples\")\n", + "os.chdir(\"/ryzers/rai\")\n", + "os.environ.setdefault(\"OPENAI_API_KEY\", \"lemonade\") # dummy key, Lemonade ignores it\n", + "\n", + "from manipulation_common import create_agent\n", + "\n", + "# Builds the LLM client (pointed at Lemonade by lemonade_env.sh) and the robot's\n", + "# tools: look through the camera, locate objects, move the arm, reset the arm\n", + "agent, camera_tool = create_agent(version=\"v2\")\n", + "\n", + "print(\"Agent ready\")" + ] + }, + { + "cell_type": "markdown", + "id": "5702cb0b43f4", + "metadata": {}, + "source": "### Send an instruction and record the result\n\n`agent.invoke` blocks until the agent is done, and it may take a few minutes, since every step is a full round trip through the local model. While it works, a background thread pulls frames from the same MJPEG endpoint the simulation panel uses and encodes them into an MP4.\n\nChange `INSTRUCTION` to whatever you want the arm to do; keep it to objects that are actually in the current scene layout." + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "94efd2f02722", + "metadata": {}, + "outputs": [], + "source": [ + "import subprocess\n", + "import threading\n", + "import time\n", + "\n", + "import requests # also imported by the snapshot cell above, which may not have run\n", + "\n", + "from IPython.display import Video, display\n", + "from rai.messages import HumanMultimodalMessage\n", + "\n", + "RECORD_URL = (\n", + " \"http://localhost:8080/stream?topic=/color_image5&quality=70&width=960&height=540\"\n", + ")\n", + "VIDEO_PATH = \"/ryzers/notebooks/agent_run.mp4\"\n", + "\n", + "\n", + "class SimulationRecorder:\n", + " \"\"\"Capture the simulation camera into an MP4 while the agent works.\"\"\"\n", + "\n", + " def __init__(self, path=VIDEO_PATH, fps=4):\n", + " self.path, self.fps = path, fps\n", + " self.frames, self._stop = [], threading.Event()\n", + "\n", + " def _grab(self):\n", + " # One long-lived MJPEG connection, split into frames on the JPEG markers.\n", + " # (Polling /snapshot per frame instead would churn through subscribers\n", + " # and eventually hang web_video_server.)\n", + " try:\n", + " with requests.get(RECORD_URL, stream=True, timeout=30) as r:\n", + " buf, last = b\"\", 0.0\n", + " for chunk in r.iter_content(8192):\n", + " if self._stop.is_set():\n", + " return\n", + " buf += chunk\n", + " while True:\n", + " start, end = buf.find(b\"\\xff\\xd8\"), buf.find(b\"\\xff\\xd9\")\n", + " if start == -1 or end == -1 or end < start:\n", + " break\n", + " frame, buf = buf[start : end + 2], buf[end + 2 :]\n", + " now = time.time()\n", + " if now - last >= 1 / self.fps: # thin out to the target rate\n", + " self.frames.append(frame)\n", + " last = now\n", + " except requests.RequestException:\n", + " pass\n", + "\n", + " def __enter__(self):\n", + " self._started = time.time()\n", + " self._thread = threading.Thread(target=self._grab, daemon=True)\n", + " self._thread.start()\n", + " return self\n", + "\n", + " def __exit__(self, *exc):\n", + " self._stop.set()\n", + " self._thread.join(timeout=5)\n", + " if not self.frames:\n", + " # The grab thread blocks in iter_content when web_video_server stops\n", + " # answering, so joining it times out and no frames ever arrive.\n", + " print(\n", + " \"No frames captured - web_video_server is not responding.\\n\"\n", + " \"Restart it from a terminal:\\n\"\n", + " \" pkill -9 -f web_video_server\\n\"\n", + " \" source /opt/ros/$ROS_DISTRO/setup.bash\\n\"\n", + " \" setsid ros2 run web_video_server web_video_server \"\n", + " \"--ros-args -p port:=8080 /tmp/wvs.log 2>&1 &\"\n", + " )\n", + " return\n", + " # Encode at the rate we actually captured, so playback runs at real speed\n", + " rate = max(len(self.frames) / (time.time() - self._started), 1)\n", + " ffmpeg = subprocess.Popen(\n", + " [\"ffmpeg\", \"-y\", \"-loglevel\", \"error\",\n", + " \"-f\", \"image2pipe\", \"-vcodec\", \"mjpeg\", \"-framerate\", f\"{rate:.2f}\", \"-i\", \"-\",\n", + " \"-vcodec\", \"libx264\", \"-pix_fmt\", \"yuv420p\", \"-vf\", \"fps=15\", self.path],\n", + " stdin=subprocess.PIPE,\n", + " )\n", + " ffmpeg.communicate(b\"\".join(self.frames))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b6695d522798", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2026-07-29 23:07:45 HP-Z2-Mini-G1a-Workstation-Desktop-PC httpx[33] INFO HTTP Request: POST http://localhost:13305/api/v0/chat/completions \"HTTP/1.1 200 OK\"\n" + ] } + ], + "source": [ + "INSTRUCTION = \"Pick up any cube and place it on top of another cube.\"\n", + "\n", + "# The agent starts from what the camera sees, exactly like the chat panel does\n", + "_, artifact = camera_tool._run()\n", + "message = HumanMultimodalMessage(content=INSTRUCTION, images=artifact.get(\"images\", []))\n", + "\n", + "start = time.time()\n", + "with SimulationRecorder():\n", + " result = agent.invoke({\"messages\": [message]}, config={\"recursion_limit\": 100})\n", + "\n", + "print(f\"{result['messages'][-1].content}\\n\\n(took {time.time() - start:.0f}s)\")\n", + "display(Video(VIDEO_PATH, embed=True, width=640))" + ] + }, + { + "cell_type": "markdown", + "id": "2c294f812f35", + "metadata": {}, + "source": "#### Optional: Agent Tools Called\n\nThe full transcript of the run is kept in `result[\"messages\"]`: your instruction, every tool the agent decided to call, the arguments it passed, and what each tool returned. Printing it shows exactly how the agent got from a sentence to the motion you just watched." + }, + { + "cell_type": "code", + "id": "c0f804f5", + "source": "for m in result[\"messages\"]:\n m.pretty_print()", + "metadata": {}, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "55c3138cadb2", + "metadata": {}, + "source": "## Key Takeaways\n\nNow you know:\n- How a robot agent is wired: simulation and ROS 2 tools on one side, a locally served LLM on the other\n- How to point RAI at a Lemonade model with `lemonade_env.sh`, and swap that model out\n- How to run a GPU-rendered simulation with no monitor, using a headless compositor plus Xwayland\n- How to command a simulated manipulator in natural language, and read the agent's tool calls to see how it got there\n\n## What to Try Next\n\n- Ask for a task the arm can't reach or see, and watch how the agent recovers\n- Swap in a different local model and compare how reliably each one calls the right tools\n- Change the scene layout in the controls on the left and repeat the same instruction\n- Explore RAI's benchmarks (`rai_bench`) to score models on tool calling and manipulation with your local model" + }, + { + "cell_type": "markdown", + "id": "c6ccbaf8f07a", + "metadata": {}, + "source": [ + "## References\n", + "\n", + "* [RAI](https://github.com/RobotecAI/rai)\n", + "* [O3DE](https://o3de.org/)\n", + "* [Lemonade](https://lemonade-server.ai/)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" }, - "nbformat": 4, - "nbformat_minor": 5 + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 } \ No newline at end of file diff --git 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When you are done, an attendee just opens that address, logs in, runs one +command, and clicks **Run All** - with no downloading at the venue. + +> **Just attending?** You do not need this file - follow **[README.md](README.md)** instead. + +Every step below says **where to run it**. Do them in order. You need a Strix Halo box running +**Ubuntu 24.04** where you have `sudo` (admin) rights, and about **150 GB free** disk (the baked +course image is ~50 GB; the pre-staged `assets/` tree and a saved image tar need room too). + +--- + +## Step 1 - Prepare the machine (once per box) + +**Run this on: the Strix Halo box (a terminal, with sudo).** + +Install the prerequisites from the repository's top-level `README.md` "Quick Start": the OEM kernel +for Ryzen AI APUs, Docker set up for non-root use, `build-essential`, and the installer's terminal +UI dependencies. Then confirm Docker works without sudo: + +```bash +docker run --rm hello-world +``` + +If that prints a success message, the machine is ready. + +## Step 2 - Get the course code + +**Run this on: the Strix Halo box.** + +```bash +git clone /aup-learning-cloud.git +cd aup-learning-cloud +git checkout roscon26 +``` + +Everything in the rest of this guide is run from inside this `aup-learning-cloud` folder. + +## Step 3 - Put the workshop files on the machine + +**Run this on: any machine that can reach both your file store and the Strix Halo box.** + +The large inputs ship as one folder called `mm2_workshop_assets` (about **16 GB** with the default +LIBERO subset), split into ~4 GB pieces so it copies easily. It is hosted on your team's shared +drive (for this workshop, OneDrive). Its layout is: + +``` +mm2_workshop_assets/ + base/ the base MolmoAct2-DROID checkpoint, stored in BF16 (~11 GB) + libero/ the LIBERO training dataset (default: ~1 GB task-diverse subset; + set USE_FULL_LIBERO=1 in the notebook to fetch the full ~33 GB set) + tokenizer/ a small tokenizer the model needs + droid_dataset/ a small real-robot dataset used by notebook 1, Step 3 (~1.4 GB) + ft_checkpoint/ the fine-tune "delta": the LoRA adapter + trained parts (~2.4 GB) + reconstruct_reference.py unpack_bundle.sh README.txt +``` + +Copy that whole folder onto the Strix Halo box, for example: + +```bash +scp -r /path/to/mm2_workshop_assets @:/opt/auplc-assets/mm2_workshop_assets +``` + +> **Why is `ft_checkpoint/` so small, and what is the "delta"?** The fine-tuned policy is just the +> frozen base model plus a small set of weights that changed during fine-tuning. Instead of shipping +> the whole base model twice, we ship the base once (in BF16, the precision everyone runs in) and +> only the small delta. The full fine-tuned checkpoint is rebuilt automatically from base + delta in +> Step 4 - you do not do anything extra. + +## Step 4 - Build the self-contained course image + +**Run this on: the Strix Halo box, inside the `aup-learning-cloud` folder.** + +One command builds a FULLY self-contained image: the Docker build itself unpacks the raw workshop +bundle, rebuilds the full fine-tuned checkpoint, and bakes everything - together with the two +notebooks and their helper scripts - into a single container image. Point `ASSETS_SRC` at the raw +bundle from Step 3: + +```bash +make -C dockerfiles finetuning GPU_TARGET=gfx1151 ASSETS_SRC=/path/to/mm2_workshop_assets +``` + +There is no separate pre-stage step - the build's staging stage runs the unpack + checkpoint +reconstruction internally (using the image's own Python), so this works on a fresh machine. Only +the bundle subdirs it needs are read (`base/ libero/ tokenizer/ droid_dataset/ ft_checkpoint/`); an +optional `libero_full_backup/` is ignored. + +The result is a local image `ghcr.io/amdresearch/auplc-finetuning:latest` (and `:latest-gfx1151`) +that carries its own HF cache under `/opt/auplc-hf` and reference checkpoint under `/opt/auplc-ref` - +no shared mount, no per-attendee download. When you only change a notebook or script later, rebuild +in place with the same command (BuildKit reuses the cached asset layers, so it does not re-unpack) - +do not create a second image. + +> `make finetuning-baked` is kept as a back-compat alias and now simply runs `make finetuning`. + +> **Build a code-only image** (no assets, e.g. for CI) with `ASSETS_SRC= make -C dockerfiles +> finetuning GPU_TARGET=gfx1151`. The assets are passed to the build as a BuildKit named context, so +> they are never copied into the git tree. + +## Step 5 - Distribute the image to the other nodes (multi-node only) + +**Run this on: the Strix Halo box.** Skip this on a single machine. + +Because the assets are inside the image, distributing the workshop to a cluster is just distributing +the image - like a `docker pull`. Save it once and load it on each node (or push to a registry every +node can reach): + +```bash +docker save ghcr.io/amdresearch/auplc-finetuning:latest-gfx1151 | gzip > auplc-finetuning.tar.gz +# then on each node: +gunzip -c auplc-finetuning.tar.gz | docker load +``` + +## Step 6 - Deploy the JupyterHub server + +**Run this on: the Strix Halo box, inside the `aup-learning-cloud` folder.** + +```bash +sudo ./auplc-installer install --gpu=strix-halo +``` + +This installs a small single-node Kubernetes (k3s) and the JupyterHub server on top of it, using the +image you just built. Wait until it finishes and reports the pods are ready. When it is done it +prints the **web address of the server** - it looks like `http://:30890/`. +**Write that address down; it is what you give attendees in Step 7.** + +The course "Fine-tuning on GPUs" is already registered, so it shows up on the login page +automatically. Each attendee who logs in gets their own private notebook server with its own GPU +slice and a writable home folder. The assets are already in the image, so attendees just open the +notebooks and click **Run All** - nothing is downloaded or linked at the venue. + +> **Already have another JupyterHub running on this same box?** Two servers cannot share the same +> name. On a fresh box this never happens. If it does (a shared dev box), the simplest fix is to +> deploy on a machine that does not already run one - that keeps this command exactly as written, +> with nothing to configure. + +## Step 7 - Give attendees the address + +Send each attendee: + +- the web address from Step 6 (`http://:30890/`), and +- their username and password. + +They then follow **[README.md](README.md)**. Done. + +--- + +## Developer check: reproduce the whole thing offline before you ship + +**Run this on: a Strix Halo box, after Step 4 (the build) above.** + +To verify a change end to end without any network, run a notebook headless directly against the +baked image - no mount and no staging step, exactly what an attendee gets. The assets are already in +the image at `/opt/auplc-hf` (HF cache) and `/opt/auplc-ref` (reference checkpoint): + +```bash +docker run --rm --network=host --ipc=host --shm-size 16G \ + --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined \ + --group-add video --group-add render \ + --tmpfs /home/jovyan:mode=0777 \ + -e HF_HUB_OFFLINE=1 -e TRANSFORMERS_OFFLINE=1 \ + --entrypoint bash ghcr.io/amdresearch/auplc-finetuning:latest-gfx1151 -lc ' + mkdir -p /home/jovyan/outputs + /opt/train-venv/bin/python -m ipykernel install --user --name tv >/dev/null 2>&1 + jupyter nbconvert --to notebook --execute --ExecutePreprocessor.kernel_name=tv \ + --ExecutePreprocessor.timeout=-1 --output /home/jovyan/outputs/nb1.ipynb \ + finetune_molmoact2_libero.ipynb' +``` + +A healthy run shows the closed-loop LIBERO evaluation reporting success. Model weights and large +videos stay on the machine (never re-hosted). + +> **Testing against an external asset tree instead of the baked cache?** The code-only image plus +> `scripts/fetch_assets.sh` still supports the old mount-and-link workflow; point `ASSETS_SRC` at a +> mounted `assets/` tree and run `fetch_assets.sh` before nbconvert. diff --git a/projects/Finetuning/README.md b/projects/Finetuning/README.md index 20ca2026..5b5cfcc4 100644 --- a/projects/Finetuning/README.md +++ b/projects/Finetuning/README.md @@ -1,13 +1,108 @@ -# ROSCon 2026: VLA Finetuning + -Open `finetune_molmoact2_libero.ipynb`. +# ROSCon 2026: Fine-tuning a Robot Policy (MolmoAct2 + LIBERO) -Environment checks: +In this workshop you take a real-robot vision-language-action model (**MolmoAct2**), teach it a new +skill in a simulator (**LIBERO**) with a short **LoRA** fine-tune, and then drive the fine-tuned +policy **live in the simulator** - typing an instruction and watching a robot arm carry it out. + +Everything runs in your web browser on a single AMD **Strix Halo** machine. There is **nothing to +install** on your laptop and you never need `sudo` or admin rights - just the login your organizer +gives you. + +> Setting up the workshop yourself (building the image, deploying the server, hosting the files)? +> That is a different job - see **[ORGANIZER.md](ORGANIZER.md)**. This page is for attendees. + +--- + +## Step 1 - Open the workshop server in your browser + +**Do this on: your own laptop, in Chrome or Firefox.** + +Your organizer will give you a web address for the workshop server. It looks like this (the part in +angle brackets is filled in by your organizer): + +``` +http://:30890/ +``` + +Open that address, then log in with the username and password your organizer gave you. + +If the page does not load, the server or the network route is not ready - tell your organizer (there +is nothing to fix on your laptop). + +## Step 2 - Start your personal GPU server + +**Do this on: the web page from Step 1, after you log in.** + +You will see a "Server Options" page. Choose: + +- **ROSCon 2026 → "Fine-tuning on GPUs"** + +and click **Start**. After about a minute you land in a file browser showing a folder called +`notebooks` with two `.ipynb` files. This is your own private server with its own AMD GPU. + +(Optional) To confirm the GPU is working, open a terminal with **New → Terminal** and run: ```bash -/ryzers/test_torch.sh -/ryzers/test_molmoact2.sh +/ryzers/test_torch.sh # confirms the GPU is visible to PyTorch (ROCm) +/ryzers/test_molmoact2.sh # confirms the MolmoAct2 + LIBERO software imports ``` -Models are cached under `~/.cache/huggingface`. Training outputs and checkpoints -are written under `~/outputs` and `~/checkpoints`. +## Step 3 - Your files are already loaded (nothing to do) + +**There is nothing to run here.** The base model, the training dataset, and a ready-made fine-tuned +policy (about 47 GB together) are already on the machine. The moment your server started, they were +linked into your workspace automatically - instantly, with nothing downloaded and nothing copied. + +This is where they are (you do not need to touch them): + +| What | Where it is in your server | +|---|---| +| Base model + datasets | `~/.cache/huggingface` | +| Ready-made fine-tuned policy | `~/checkpoints/reference/pretrained_model` | + +**Only if a notebook says a file is missing** (rare): open a terminal (**New → Terminal**) and run +this once. It re-links everything, needs no `sudo`, and is safe to run again: + +```bash +cd /ryzers/notebooks +scripts/fetch_assets.sh +``` + +## Step 4 - Run the two notebooks + +**Do this on: the file browser on the left of your server.** Double-click a notebook to open it, +then use the menu **Run → Run All Cells**. + +| Notebook | What it does | +|---|---| +| `finetune_molmoact2_libero.ipynb` | Checks the GPU → loads the base model → validates it on real robot data → runs a short **LoRA fine-tune** → evaluates the fine-tuned policy in the LIBERO simulator. | +| `interactive_sim_molmoact2_libero.ipynb` | Drives the fine-tuned policy **live in the simulator, right inside the notebook**. Type an instruction and watch the arm act. Works on its own - it does not need notebook 1. | + +The live simulator appears **inside the notebook** - there is no extra window to open and no extra +web address to visit. + +--- + +## Which policy runs in the demo? + +By default, both the evaluation in notebook 1 (Step 5) and the live simulator use our **ready-made +fine-tuned policy** at `~/checkpoints/reference/pretrained_model` (already staged for you in +Step 3). The short fine-tune you run in notebook 1 proves the training loop works, but it is far too +short to be good on its own - so the ready-made policy is what gives a strong demo. + +You can change what runs by setting any of these in a notebook cell before you run it (or just leave +them alone for the default demo): + +| Setting | Default | Meaning | +|---|---|---| +| `POLICY_PATH` | (unset) | Use a specific checkpoint instead: a folder on the server **or** a Hugging Face repo id. Overrides everything below. | +| `PREFER_TRAINED` | `0` | `1` = evaluate the checkpoint your own notebook run just produced, instead of the ready-made one. | +| `SUITE` | `libero_object` | Which LIBERO task family to use. | +| `TASK_ID` | `3` | Which task within that family. | +| `STEPS` | `10` | How many fine-tune steps notebook 1 runs (raise this for real training). | +| `FT_MODE` | `lora_vlm` | Fine-tune style: `lora_vlm`, `action_expert_only`, or `full`. | + +Your training results land under `~/outputs` and `~/checkpoints`. Model weights and large videos +stay on the machine and are not uploaded anywhere. diff --git a/projects/Finetuning/finetune_molmoact2_libero.ipynb b/projects/Finetuning/finetune_molmoact2_libero.ipynb index 8cbe45b5..a1c7f05f 100644 --- a/projects/Finetuning/finetune_molmoact2_libero.ipynb +++ b/projects/Finetuning/finetune_molmoact2_libero.ipynb @@ -45,6 +45,8 @@ "# instead reported by the loaders' own periodic log lines (and the loss plot in Step 4).\n", "os.environ.setdefault(\"HF_HUB_DISABLE_PROGRESS_BARS\", \"1\")\n", "os.environ.setdefault(\"TQDM_DISABLE\", \"1\")\n", + "# Show a plain GB-progress heartbeat for the big HF pulls (env-independent, no tqdm).\n", + "os.environ.setdefault(\"VERBOSE_DOWNLOAD\", \"1\")\n", "\n", "import glob\n", "import json\n", @@ -93,6 +95,10 @@ "def child_env(**extra):\n", " e = dict(os.environ)\n", " e.pop(\"MPLBACKEND\", None)\n", + " # Let the training/eval CHILDREN render their own tqdm progress bars (the kernel keeps tqdm\n", + " # disabled so in-notebook code stays quiet). run_cmd/run_train preserve carriage returns, so\n", + " # these bars redraw on ONE line instead of spamming a new line per tick.\n", + " e.pop(\"TQDM_DISABLE\", None)\n", " e.update({\"TORCH_BLAS_PREFER_HIPBLASLT\": \"0\", \"PYTHONWARNINGS\": \"ignore\", \"PYTHONUNBUFFERED\": \"1\"})\n", " e.update({k: str(v) for k, v in extra.items()})\n", " return e\n", @@ -112,61 +118,88 @@ ")\n", "\n", "\n", - "def run_cmd(cmd, env=None, cwd=None, quiet_warnings=True):\n", - " \"\"\"Stream a subprocess into the notebook, filtering the noisy warning lines.\"\"\"\n", + "# LeRobot logs one metrics line per `log_freq` steps, e.g. \"step:10 ... loss:1.684 grdn:.. lr:..\".\n", + "# We scrape those (step, loss) points so Step 4 can draw a small loss curve. Handles the\n", + "# human-formatted step number (10, 1.5K, 2M) that LeRobot prints for large runs.\n", + "_STEP_RE = re.compile(r\"\\bstep:\\s*([0-9.]+)\\s*([KMB]?)\")\n", + "_LOSS_RE = re.compile(r\"\\bloss:\\s*([0-9.]+)\")\n", + "_SUF = {\"\": 1.0, \"K\": 1e3, \"M\": 1e6, \"B\": 1e9}\n", + "\n", + "\n", + "def _popen(cmd, env=None, cwd=None):\n", " print(\"$ \" + (cmd if isinstance(cmd, str) else \" \".join(map(str, cmd))) + \"\\n\", flush=True)\n", - " p = subprocess.Popen(\n", + " # Binary pipe (no text=True): universal-newline mode would rewrite every '\\r' to '\\n' and turn\n", + " # a single self-updating tqdm bar into one new line per tick. We decode + split ourselves.\n", + " return subprocess.Popen(\n", " cmd,\n", " shell=isinstance(cmd, str),\n", " env=env,\n", " cwd=cwd,\n", " stdout=subprocess.PIPE,\n", " stderr=subprocess.STDOUT,\n", - " text=True,\n", - " bufsize=1,\n", + " bufsize=0,\n", " )\n", - " for line in p.stdout:\n", - " if quiet_warnings and any(tok in line for tok in _NOISE):\n", - " continue\n", - " print(line, end=\"\", flush=True)\n", + "\n", + "\n", + "def _pump(p, quiet=True, scrape=None, drop=None):\n", + " \"\"\"Stream a child process into the notebook, PRESERVING carriage returns so tqdm/progress bars\n", + " redraw in place on ONE line (Jupyter honors '\\\\r'). `scrape(line)` collects data from complete\n", + " '\\\\n' lines; `drop(line)` hides a complete line from the display (it is still scraped).\"\"\"\n", + " import codecs\n", + "\n", + " dec = codecs.getincrementaldecoder(\"utf-8\")(\"replace\")\n", + " buf = \"\"\n", + " while True:\n", + " chunk = p.stdout.read(4096)\n", + " if not chunk:\n", + " break\n", + " buf += dec.decode(chunk)\n", + " while True:\n", + " i_n, i_r = buf.find(\"\\n\"), buf.find(\"\\r\")\n", + " idxs = [i for i in (i_n, i_r) if i != -1]\n", + " if not idxs:\n", + " break\n", + " cut = min(idxs) + 1\n", + " seg, buf = buf[:cut], buf[cut:]\n", + " if quiet and any(tok in seg for tok in _NOISE):\n", + " continue\n", + " full_line = seg.endswith(\"\\n\")\n", + " if full_line and scrape:\n", + " scrape(seg)\n", + " if not (full_line and drop and drop(seg)):\n", + " sys.stdout.write(seg)\n", + " sys.stdout.flush()\n", + " if buf and not (quiet and any(tok in buf for tok in _NOISE)):\n", + " if scrape:\n", + " scrape(buf)\n", + " if not (drop and drop(buf)):\n", + " sys.stdout.write(buf)\n", + " sys.stdout.flush()\n", " p.wait()\n", " if p.returncode != 0:\n", " raise RuntimeError(f\"command failed (exit {p.returncode})\")\n", "\n", "\n", - "# LeRobot logs one metrics line per `log_freq` steps, e.g. \"step:10 ... loss:1.684 grdn:.. lr:..\".\n", - "# run_train streams the process (filtering noise like run_cmd) AND scrapes those (step, loss)\n", - "# points so Step 4 can draw a small loss curve at the end. Handles the human-formatted step\n", - "# number (10, 1.5K, 2M) that LeRobot prints for large runs.\n", - "_STEP_RE = re.compile(r\"\\bstep:\\s*([0-9.]+)\\s*([KMB]?)\")\n", - "_LOSS_RE = re.compile(r\"\\bloss:\\s*([0-9.]+)\")\n", - "_SUF = {\"\": 1.0, \"K\": 1e3, \"M\": 1e6, \"B\": 1e9}\n", + "def run_cmd(cmd, env=None, cwd=None, quiet_warnings=True):\n", + " \"\"\"Stream a subprocess into the notebook; tqdm/progress bars stay on ONE self-updating line.\"\"\"\n", + " _pump(_popen(cmd, env=env, cwd=cwd), quiet=quiet_warnings)\n", "\n", "\n", "def run_train(cmd, env=None, cwd=None):\n", - " \"\"\"Stream a training subprocess (noise-filtered) and return captured [(step, loss), ...].\"\"\"\n", - " print(\"$ \" + (cmd if isinstance(cmd, str) else \" \".join(map(str, cmd))) + \"\\n\", flush=True)\n", - " p = subprocess.Popen(\n", - " cmd,\n", - " shell=isinstance(cmd, str),\n", - " env=env,\n", - " cwd=cwd,\n", - " stdout=subprocess.PIPE,\n", - " stderr=subprocess.STDOUT,\n", - " text=True,\n", - " bufsize=1,\n", - " )\n", + " \"\"\"Stream a training subprocess and return captured [(step, loss), ...]. The tqdm progress bar\n", + " stays on one line; the chatty per-step \"step:.. loss:..\" metric lines are hidden from the\n", + " display (still scraped, so the loss curve below is unaffected).\"\"\"\n", " pts = []\n", - " for line in p.stdout:\n", - " if any(tok in line for tok in _NOISE):\n", - " continue\n", - " print(line, end=\"\", flush=True)\n", + "\n", + " def _scrape(line):\n", " ms, ml = _STEP_RE.search(line), _LOSS_RE.search(line)\n", " if ms and ml:\n", " pts.append((float(ms.group(1)) * _SUF[ms.group(2)], float(ml.group(1))))\n", - " p.wait()\n", - " if p.returncode != 0:\n", - " raise RuntimeError(f\"command failed (exit {p.returncode})\")\n", + "\n", + " def _drop(line):\n", + " return bool(_STEP_RE.search(line) and _LOSS_RE.search(line))\n", + "\n", + " _pump(_popen(cmd, env=env, cwd=cwd), quiet=True, scrape=_scrape, drop=_drop)\n", " return pts\n", "\n", "\n", @@ -247,7 +280,7 @@ "\n", "Downloads the base checkpoint to adapt (`allenai/MolmoAct2-DROID`, real Franka) and the fine-tuning dataset (`allenai/MolmoAct2-LIBERO-Dataset`) into the persistent HF cache, then **loads the checkpoint and runs one real forward** to prove the whole flow-matching action path executes on ROCm (bf16). Nothing is re-hosted by us; everything pulls from Hugging Face at run time. Set `HF_TOKEN` for faster/gated downloads. First run pulls tens of GB - it is cached and reused afterwards.\n", "\n", - "**One base, used twice (and why the on-disk sizes differ).** This exact same `allenai/MolmoAct2-DROID` download is reused for *both* the open-loop check (Step 3, loaded here) *and* as the starting point of the LoRA fine-tune (Step 4 passes `--policy.checkpoint_path=allenai/MolmoAct2-DROID`) - it is fetched once and shared from the HF cache. The released base ships in **fp32** (~22 GB across 5 shards ≈ 4 bytes × 5.4B params). We load it and train in **bf16**, and LeRobot saves the fine-tuned policy - the base with the LoRA update folded in - as a single **bf16** `model.safetensors` (~11.5 GB ≈ 2 bytes × 5.4B params) plus tiny normalizer stats. So the fine-tuned checkpoint is *half* the size not because it has fewer weights, but because it is stored at half the precision." + "**One base, used twice (and how the assets are packaged).** This exact same `allenai/MolmoAct2-DROID` model is reused for *both* the open-loop check (Step 3, loaded here) *and* as the starting point of the LoRA fine-tune (Step 4 passes `--policy.checkpoint_path=allenai/MolmoAct2-DROID`) - it is loaded once and shared from the HF cache. We load it and train in **bf16**. Downloaded fresh from the Hub it arrives in **fp32** (~22 GB across 5 shards ≈ 4 bytes × 5.4B params); the pre-staged workshop assets instead ship it already in **bf16** (~11 GB), the precision we actually run in. LeRobot saves a fine-tuned policy as a single bf16 `model.safetensors` (~11.5 GB) plus tiny normalizer stats - the frozen base with the trained update on top. To avoid shipping the base twice, our ready-made reference checkpoint is packaged **split**: the bf16 base plus a small trained *delta* (the LoRA adapter + trained action-expert, ~2.4 GB), rebuilt into that same full checkpoint automatically when the assets are staged (`fetch_assets.sh`)." ], "id": "a0433813" }, @@ -256,28 +289,166 @@ "metadata": {}, "source": [ "from huggingface_hub import snapshot_download\n", + "try:\n", + " from huggingface_hub import scan_cache_dir\n", + "except Exception:\n", + " scan_cache_dir = None\n", + "import subprocess as _sp\n", + "import threading\n", "\n", "BASE_CKPT = os.environ.get(\"BASE_CKPT\", \"allenai/MolmoAct2-DROID\")\n", "DATASET_REPO = os.environ.get(\"DATASET_REPO\", \"allenai/MolmoAct2-LIBERO-Dataset\")\n", + "VERBOSE_DL = os.environ.get(\"VERBOSE_DOWNLOAD\", \"1\") == \"1\"\n", + "\n", + "_HUB = os.path.join(os.environ.get(\"HF_HOME\", os.path.expanduser(\"~/.cache/huggingface\")), \"hub\")\n", + "\n", + "\n", + "def _repo_dir(repo_id, repo_type):\n", + " pfx = \"datasets--\" if repo_type == \"dataset\" else \"models--\"\n", + " return os.path.join(_HUB, pfx + repo_id.replace(\"/\", \"--\"))\n", + "\n", + "\n", + "def _dir_gb(path):\n", + " try:\n", + " return int(_sp.check_output([\"du\", \"-sb\", path], stderr=_sp.DEVNULL).split()[0]) / 1e9\n", + " except Exception:\n", + " return 0.0\n", + "\n", + "\n", + "def _fully_cached(repo_id, repo_type):\n", + " # True only if every file is already present (no network) -> instant, no re-download.\n", + " try:\n", + " snapshot_download(repo_id=repo_id, repo_type=repo_type, local_files_only=True)\n", + " return True\n", + " except Exception:\n", + " return False\n", + "\n", + "\n", + "def _heartbeat(repo_id, repo_type, stop):\n", + " d, last = _repo_dir(repo_id, repo_type), _dir_gb(_repo_dir(repo_id, repo_type))\n", + " while not stop.wait(3):\n", + " cur = _dir_gb(d)\n", + " print(f\" ...{repo_id}: {cur:.2f} GB on disk (+{max(cur - last, 0):.2f} GB/3s)\", flush=True)\n", + " last = cur\n", "\n", "\n", - "# Pull straight from Hugging Face into the mounted HF cache (nothing is re-hosted by us).\n", - "# Cached + reused on later runs; first run pulls tens of GB. Set HF_TOKEN for gated/faster pulls.\n", "def prefetch(repo_id, repo_type, tries=5):\n", + " if _fully_cached(repo_id, repo_type):\n", + " print(f\" CACHED [{repo_type}] {repo_id} ({_dir_gb(_repo_dir(repo_id, repo_type)):.2f} GB) - skipping\")\n", + " return\n", + " print(f\" FETCH [{repo_type}] {repo_id} - downloading into HF cache\", flush=True)\n", " for n in range(1, tries + 1):\n", + " stop, th = threading.Event(), None\n", + " if VERBOSE_DL:\n", + " th = threading.Thread(target=_heartbeat, args=(repo_id, repo_type, stop), daemon=True)\n", + " th.start()\n", " try:\n", + " t0 = time.time()\n", " snapshot_download(repo_id=repo_id, repo_type=repo_type)\n", - " print(f\" cached [{repo_type}]: {repo_id}\")\n", + " stop.set()\n", + " if th:\n", + " th.join(timeout=1)\n", + " print(f\" DONE [{repo_type}] {repo_id} ({_dir_gb(_repo_dir(repo_id, repo_type)):.2f} GB in {time.time() - t0:.0f}s)\")\n", " return\n", " except Exception as e:\n", - " print(f\" ({repo_type} {repo_id} attempt {n}/{tries} failed: {str(e)[:100]}; resuming...)\")\n", + " stop.set()\n", + " if th:\n", + " th.join(timeout=1)\n", + " print(f\" (network hiccup on {repo_id}, retry {n}/{tries}: {str(e)[:80]}; resuming cached bytes)\")\n", " if n == tries:\n", " raise\n", " time.sleep(5)\n", "\n", "\n", + "# --- Optional: stage large assets from a local resources dir (ASSETS_DIR) -----------------\n", + "# If the workshop hosts the base checkpoint + dataset + fine-tuned checkpoint on local storage,\n", + "# point ASSETS_DIR at that folder; they are copied into the HF cache + REFERENCE_POLICY here so\n", + "# prefetch() finds everything cached and downloads nothing. Idempotent (skips what exists).\n", + "ASSETS_DIR = os.environ.get(\"ASSETS_DIR\", \"\").strip()\n", + "\n", + "\n", + "def _stage_assets():\n", + " import shutil\n", + " if not ASSETS_DIR or not os.path.isdir(ASSETS_DIR):\n", + " return\n", + " hub_src = os.path.join(ASSETS_DIR, \"hf_hub\")\n", + " if os.path.isdir(hub_src):\n", + " os.makedirs(_HUB, exist_ok=True)\n", + " for _name in sorted(os.listdir(hub_src)):\n", + " _s, _d = os.path.join(hub_src, _name), os.path.join(_HUB, _name)\n", + " if os.path.isdir(_s) and not os.path.exists(_d):\n", + " print(f\" STAGE {_name} -> HF cache\", flush=True)\n", + " shutil.copytree(_s, _d, symlinks=True)\n", + " _ref_src = os.path.join(ASSETS_DIR, \"checkpoints\", \"reference\", \"pretrained_model\")\n", + " _ref_dst = os.environ.get(\"REFERENCE_POLICY\", os.path.expanduser(\"~/checkpoints/reference/pretrained_model\"))\n", + " if os.path.isdir(_ref_src) and not os.path.isdir(_ref_dst):\n", + " print(f\" STAGE reference checkpoint -> {_ref_dst}\", flush=True)\n", + " os.makedirs(os.path.dirname(_ref_dst), exist_ok=True)\n", + " shutil.copytree(_ref_src, _ref_dst, symlinks=True)\n", + "\n", + "\n", + "if ASSETS_DIR:\n", + " print(f\"== staging assets from ASSETS_DIR={ASSETS_DIR} (no Hub re-download) ==\")\n", + " _stage_assets()\n", + " print(\"== asset staging done ==\\n\")\n", + "else:\n", + " print(f\"== assets read from the image-baked cache: HF_HOME={os.environ.get('HF_HOME','')} (no staging needed) ==\\n\")\n", + "\n", + "\n", + "# --- Preflight: confirm every input is found BEFORE the long model load / training ---------\n", + "print(\"== preflight: inputs the notebook needs ==\")\n", + "_needed = [(BASE_CKPT, \"model\"), (DATASET_REPO, \"dataset\")]\n", + "_pol = os.environ.get(\"POLICY_PATH\") or os.environ.get(\"REFERENCE_POLICY\", \"\")\n", + "for _rid, _rt in _needed:\n", + " _d = _repo_dir(_rid, _rt)\n", + " if _fully_cached(_rid, _rt):\n", + " print(f\" [ok] {_rt:7s} {_rid} CACHED ({_dir_gb(_d):.2f} GB)\")\n", + " else:\n", + " print(f\" [missing] {_rt:7s} {_rid} will download\")\n", + "if _pol:\n", + " _ok = os.path.isdir(_pol) and os.path.exists(os.path.join(_pol, \"config.json\"))\n", + " print(f\" [{'ok' if _ok else 'n/a'}] policy {_pol} {'found' if _ok else '(not staged yet)'}\")\n", + "print(\"== end preflight ==\\n\")\n", + "\n", "prefetch(BASE_CKPT, \"model\")\n", - "prefetch(DATASET_REPO, \"dataset\")\n", + "\n", + "# LIBERO dataset routing. DEFAULT: the small pre-staged SUBSET (offline, ~1 GB) so the workshop\n", + "# payload stays tiny and the short Step-4 fine-tune runs on it. The subset is a self-consistent\n", + "# LeRobot dataset (metadata rewritten to only the bundled episodes), so training \"just works\" on\n", + "# whatever episodes are present - no episode list is hard-coded here.\n", + "# EXTENDED ROUTE: set USE_FULL_LIBERO=1 to pull the COMPLETE dataset from the Hub (needs internet;\n", + "# ~33 GB) and train the full pipeline. Because the staged subset reuses each file's real content\n", + "# hash, going online only downloads the files that are not already present.\n", + "USE_FULL_LIBERO = os.environ.get(\"USE_FULL_LIBERO\", \"0\") == \"1\"\n", + "if USE_FULL_LIBERO:\n", + " import shutil\n", + " import huggingface_hub.constants as _hc\n", + "\n", + " print(\"USE_FULL_LIBERO=1 -> fetching the COMPLETE LIBERO dataset from the Hub (large; needs internet) ...\", flush=True)\n", + " _prev_off = _hc.HF_HUB_OFFLINE\n", + " _hc.HF_HUB_OFFLINE = False # this flag is captured at import time; flip it to actually reach the Hub\n", + " os.environ[\"HF_HUB_OFFLINE\"] = \"0\"\n", + " try:\n", + " _full = snapshot_download(repo_id=DATASET_REPO, repo_type=\"dataset\", local_files_only=False)\n", + " finally:\n", + " _hc.HF_HUB_OFFLINE = _prev_off\n", + " os.environ[\"HF_HUB_OFFLINE\"] = \"1\" if _prev_off else \"0\"\n", + " # Point the LeRobot dataset home at the full snapshot (replaces the staged-subset link) so Step 4\n", + " # trains on the complete dataset.\n", + " _lr_home = os.environ.get(\n", + " \"HF_LEROBOT_HOME\",\n", + " os.path.join(os.environ.get(\"HF_HOME\", os.path.expanduser(\"~/.cache/huggingface\")), \"lerobot\"),\n", + " )\n", + " _lr = os.path.join(_lr_home, *DATASET_REPO.split(\"/\"))\n", + " os.makedirs(os.path.dirname(_lr), exist_ok=True)\n", + " if os.path.islink(_lr) or os.path.isfile(_lr):\n", + " os.remove(_lr)\n", + " elif os.path.isdir(_lr):\n", + " shutil.rmtree(_lr)\n", + " os.symlink(_full, _lr)\n", + " print(f\" full LIBERO dataset ready ({_dir_gb(_full):.1f} GB) -> {_lr}\")\n", + "else:\n", + " prefetch(DATASET_REPO, \"dataset\")\n", "print(\"PASS: base checkpoint + dataset cached\")" ], "execution_count": null, @@ -300,10 +471,13 @@ "]\n", "NUM_STEPS = int(os.environ.get(\"NUM_STEPS\", \"10\"))\n", "\n", - "t0 = time.time()\n", - "base_policy = Policy(repo_id=BASE_CKPT, device=\"cuda:0\", dtype=DTYPE)\n", - "n_params = sum(p.numel() for p in base_policy.model.parameters())\n", - "print(f\"model loaded : {time.time() - t0:.1f}s params={n_params / 1e9:.2f}B norm_tag={NORM_TAG}\")\n", + "if globals().get(\"base_policy\") is None:\n", + " t0 = time.time()\n", + " base_policy = Policy(repo_id=BASE_CKPT, device=\"cuda:0\", dtype=DTYPE)\n", + " n_params = sum(p.numel() for p in base_policy.model.parameters())\n", + " print(f\"model loaded : {time.time() - t0:.1f}s params={n_params / 1e9:.2f}B norm_tag={NORM_TAG}\")\n", + "else:\n", + " print(\"base_policy already loaded in this kernel; reusing it (restart the kernel to force a reload)\")\n", "\n", "# One dummy DROID observation: 3 cams (ext1, ext2, wrist) + 8-DoF state.\n", "imgs = [Image.fromarray(np.random.randint(0, 255, (180, 320, 3), dtype=np.uint8)) for _ in range(3)]\n", @@ -416,14 +590,37 @@ "\n", "def run_openloop_episode():\n", " \"\"\"Replay one random DROID episode open-loop (replan every STRIDE) and show GT-vs-pred.\"\"\"\n", - " info = json.load(open(hf_hub_download(EVAL_REPO, \"meta/info.json\", repo_type=\"dataset\")))\n", + " info_path = hf_hub_download(EVAL_REPO, \"meta/info.json\", repo_type=\"dataset\")\n", + " info = json.load(open(info_path))\n", " fps, data_tmpl, video_tmpl = info[\"fps\"], info[\"data_path\"], info[\"video_path\"]\n", " meta_ep = pq.read_table(\n", " hf_hub_download(EVAL_REPO, \"meta/episodes/chunk-000/file-000.parquet\", repo_type=\"dataset\")\n", " ).to_pydict()\n", " episodes = list(meta_ep[\"episode_index\"])\n", + " # The workshop pre-stages only a subset of the DROID dataset (kept offline, zero-copy), so\n", + " # restrict the random pick to episodes whose data parquet AND all camera videos are present\n", + " # in the local cache. This avoids reaching for a file that was not bundled.\n", + " snap_root = os.path.dirname(os.path.dirname(info_path))\n", + " _present = lambda rel: os.path.exists(os.path.join(snap_root, rel))\n", + " available = [\n", + " ep\n", + " for r, ep in enumerate(episodes)\n", + " if _present(data_tmpl.format(chunk_index=meta_ep[\"data/chunk_index\"][r], file_index=meta_ep[\"data/file_index\"][r]))\n", + " and all(\n", + " _present(\n", + " video_tmpl.format(\n", + " video_key=c,\n", + " chunk_index=meta_ep[f\"videos/{c}/chunk_index\"][r],\n", + " file_index=meta_ep[f\"videos/{c}/file_index\"][r],\n", + " )\n", + " )\n", + " for c in CAMS\n", + " )\n", + " ]\n", + " if not available:\n", + " raise RuntimeError(\"No pre-staged DROID episodes found in the local cache; check the workshop assets.\")\n", " ep_env = os.environ.get(\"EPISODE\", \"\")\n", - " episode = int(ep_env) if ep_env else random.choice(episodes)\n", + " episode = int(ep_env) if ep_env else random.choice(available)\n", " mr = episodes.index(episode)\n", " d_chunk, d_file = meta_ep[\"data/chunk_index\"][mr], meta_ep[\"data/file_index\"][mr]\n", " length = meta_ep[\"length\"][mr]\n", @@ -659,25 +856,43 @@ "cell_type": "code", "metadata": {}, "source": [ - "# Locate the checkpoint LeRobot just saved (.../checkpoints//pretrained_model). Prefer a\n", - "# real numbered step over the 'last' symlink; if the short run produced nothing (e.g. it was\n", - "# interrupted), fall back to the provided reference checkpoint instead of failing hard.\n", + "# Which checkpoint do Step 5 (closed-loop eval) and Step 6 (interactive sim) load?\n", + "# DEFAULT: our fine-tuned LIBERO checkpoint, loaded DIRECTLY - so you get a strong policy\n", + "# without waiting on a long train. It lives at REFERENCE_POLICY (staged onto pod storage).\n", + "# Overrides: POLICY_PATH=/path/or/hub-id wins; PREFER_TRAINED=1 evaluates the checkpoint the\n", + "# short Step-4 run just produced instead.\n", "REFERENCE = os.environ.get(\n", " \"REFERENCE_POLICY\", os.path.join(CKPT_DIR, \"reference\", \"pretrained_model\")\n", ")\n", - "cands = sorted(glob.glob(os.path.join(OUTPUT_DIR, \"checkpoints\", \"*\", \"pretrained_model\")))\n", - "cands = [c for c in cands if os.path.basename(os.path.dirname(c)) != \"last\"] or cands\n", + "_explicit = os.environ.get(\"POLICY_PATH\", \"\").strip()\n", + "_prefer_trained = os.environ.get(\"PREFER_TRAINED\", \"0\") == \"1\"\n", + "_trained = sorted(glob.glob(os.path.join(OUTPUT_DIR, \"checkpoints\", \"*\", \"pretrained_model\")))\n", + "_trained = [c for c in _trained if os.path.basename(os.path.dirname(c)) != \"last\"] or _trained\n", + "\n", "\n", - "if cands:\n", - " POLICY_PATH = cands[-1]\n", - " print(\"fine-tuned checkpoint (POLICY_PATH):\", POLICY_PATH)\n", - "elif os.path.isdir(REFERENCE):\n", + "def _is_ckpt(p):\n", + " return bool(p) and os.path.isdir(p) and os.path.exists(os.path.join(p, \"config.json\"))\n", + "\n", + "\n", + "if _explicit:\n", + " POLICY_PATH = _explicit\n", + " print(\"POLICY_PATH (from env):\", POLICY_PATH)\n", + "elif _prefer_trained and _trained:\n", + " POLICY_PATH = _trained[-1]\n", + " print(\"PREFER_TRAINED=1 -> this run's Step-4 checkpoint:\", POLICY_PATH)\n", + "elif _is_ckpt(REFERENCE):\n", " POLICY_PATH = REFERENCE\n", - " print(f\"no fine-tune checkpoint under {OUTPUT_DIR}/checkpoints/*; using reference: {POLICY_PATH}\")\n", + " print(\"POLICY_PATH -> our fine-tuned checkpoint (default):\", POLICY_PATH)\n", + "elif _trained:\n", + " POLICY_PATH = _trained[-1]\n", + " print(f\"reference not staged at {REFERENCE}; using this run's Step-4 checkpoint:\", POLICY_PATH)\n", "else:\n", " raise FileNotFoundError(\n", - " f\"no pretrained_model under {OUTPUT_DIR}/checkpoints/* and no reference at {REFERENCE}.\\n\"\n", - " f\"Re-run Step 4 and make sure STEPS >= SAVE_FREQ so a checkpoint is written.\"\n", + " \"No fine-tuned checkpoint found.\\n\"\n", + " f\" - expected our fine-tuned checkpoint at: {REFERENCE}\\n\"\n", + " f\" - or a Step-4 output under: {OUTPUT_DIR}/checkpoints/*/pretrained_model\\n\"\n", + " \"Stage the fine-tuned checkpoint at REFERENCE_POLICY, or set POLICY_PATH=/path \"\n", + " \"(or a Hub repo id), or re-run Step 4 with STEPS >= SAVE_FREQ.\"\n", " )" ], "execution_count": null, @@ -714,7 +929,10 @@ "RUN_DIR = os.path.join(OUT_DIR, f\"_ft_eval_{SUITE}_t{TASK_ID}_seed{SEED}\")\n", "os.makedirs(RUN_DIR, exist_ok=True)\n", "\n", - "eval_env = child_env(MUJOCO_GL=\"egl\", PYOPENGL_PLATFORM=\"egl\", OMP_NUM_THREADS=\"1\", MKL_NUM_THREADS=\"1\")\n", + "# lerobot disables its tqdm progress bars when inside_slurm() is true (it only checks for the\n", + "# SLURM_JOB_ID env var). Setting it here turns OFF the per-step rollout / eval-batch bars at the\n", + "# source; we then print one tidy line per episode from eval_info.json after inference finishes.\n", + "eval_env = child_env(MUJOCO_GL=\"egl\", PYOPENGL_PLATFORM=\"egl\", OMP_NUM_THREADS=\"1\", MKL_NUM_THREADS=\"1\", SLURM_JOB_ID=\"1\")\n", "cmd = [\n", " \"/opt/train-venv/bin/lerobot-eval\",\n", " f\"--policy.path={POLICY_PATH}\",\n", @@ -735,8 +953,28 @@ " f\"--output_dir={os.path.join(RUN_DIR, 'run')}\",\n", "]\n", "print(f\"quick closed-loop eval: suite={SUITE} task_id={TASK_ID} -> {N_EPISODES} rollout(s) total\\n\")\n", - "run_cmd(cmd, env=eval_env)\n", - "print(f\"PASS: eval artifacts in {RUN_DIR}\")" + "\n", + "# Per-step bars are already off (SLURM_JOB_ID above); also hide lerobot's final raw metric-dict\n", + "# dump. A clean per-episode summary is printed from eval_info.json below.\n", + "def _eval_drop(line):\n", + " return line.lstrip().startswith((\"{\", \"[{\", \"Overall Aggregated Metrics\", \"Aggregated Metrics for\"))\n", + "\n", + "_pump(_popen(cmd, env=eval_env), quiet=True, drop=_eval_drop)\n", + "\n", + "# One line per episode (success + reward), then the aggregate.\n", + "_info = json.load(open(os.path.join(RUN_DIR, \"run\", \"eval_info.json\")))\n", + "print(\"\\nclosed-loop results:\")\n", + "_n = 0\n", + "for _t in _info.get(\"per_task\", []):\n", + " _m = _t.get(\"metrics\", {})\n", + " _succ, _sr = _m.get(\"successes\", []), _m.get(\"sum_rewards\", [])\n", + " for _i, _ok in enumerate(_succ):\n", + " _rew = f\"{_sr[_i]:.2f}\" if _i < len(_sr) else \"n/a\"\n", + " print(f\" episode {_n + 1}: {'SUCCESS' if _ok else 'failure'} (sum_reward={_rew})\")\n", + " _n += 1\n", + "_ov = _info.get(\"overall\", {})\n", + "print(f\"\\nPASS: {_n} episode(s), success rate {_ov.get('pc_success', float('nan')):.1f}% \"\n", + " f\"(avg_sum_reward={_ov.get('avg_sum_reward', float('nan')):.2f}); artifacts in {RUN_DIR}\")" ], "execution_count": null, "outputs": [], diff --git a/projects/Finetuning/interactive_sim_molmoact2_libero.ipynb b/projects/Finetuning/interactive_sim_molmoact2_libero.ipynb new file mode 100644 index 00000000..3d232055 --- /dev/null +++ b/projects/Finetuning/interactive_sim_molmoact2_libero.ipynb @@ -0,0 +1,205 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# MolmoAct2 - LIBERO interactive simulation (synchronous)\n", + "\n", + "Standalone demo: runs **our fine-tuned MolmoAct2 LIBERO policy** in the LIBERO simulator and renders it **inline, right here in the notebook** - no training or eval needed, it loads the fine-tuned checkpoint directly.\n", + "\n", + "This is the **synchronous** rollout: the policy plans an action chunk, the simulator executes it, then the policy re-plans - the same deterministic closed-loop (receding-horizon) control used by the Step-5 LIBERO eval. The arm pauses briefly to \"think\" between chunks, but the motion is precise and there is **no real-time blending** (blending can occasionally jostle a grasped object loose).\n", + "\n", + "There is **no extra port to forward**: the sim's small web UI is served inside your session and proxied through your JupyterHub route via `jupyter-server-proxy`, then embedded below with an `IFrame`. Type an instruction in the panel, press **Send**, and watch the policy act; the status line shows the executed command, step count, and live inference latency.\n", + "\n", + "**Default weight:** our fine-tuned checkpoint at `~/checkpoints/reference/pretrained_model` (`REFERENCE_POLICY`, staged onto pod storage; not baked into the image). Override with `POLICY_PATH=/path` or a Hub repo id.\n", + "\n", + "**Knobs (env):** `SUITE=libero_object`, `TASK_ID=3`, `RT_PORT=8080`." + ], + "id": "isim_md" + }, + { + "cell_type": "code", + "metadata": {}, + "execution_count": null, + "outputs": [], + "source": [ + "import os\n", + "import subprocess\n", + "import json\n", + "import time\n", + "import urllib.request\n", + "\n", + "# Quiet ROCm/torch spam in any child process we spawn.\n", + "os.environ.setdefault(\"TORCH_BLAS_PREFER_HIPBLASLT\", \"0\")\n", + "os.environ.setdefault(\"PYTHONWARNINGS\", \"ignore\")\n", + "\n", + "OUT_DIR = os.environ.get(\"OUT_DIR\", \"/outputs\")\n", + "os.makedirs(OUT_DIR, exist_ok=True)\n", + "\n", + "\n", + "# Subprocesses (the sim server) inherit a clean env: drop the notebook's inline matplotlib\n", + "# backend (crashes headless children) and force plain hipBLAS + unbuffered output.\n", + "def child_env(**extra):\n", + " e = dict(os.environ)\n", + " e.pop(\"MPLBACKEND\", None)\n", + " e.update({\"TORCH_BLAS_PREFER_HIPBLASLT\": \"0\", \"PYTHONWARNINGS\": \"ignore\", \"PYTHONUNBUFFERED\": \"1\"})\n", + " e.update({k: str(v) for k, v in extra.items()})\n", + " return e\n", + "\n", + "\n", + "# Optional: stage assets from a local resources dir (ASSETS_DIR) so the sim finds everything\n", + "# without any download. The fine-tuned checkpoint reuses the base MolmoAct2-DROID weights, so we\n", + "# stage BOTH the HF cache (base + FAST tokenizer) and the reference checkpoint.\n", + "ASSETS_DIR = os.environ.get(\"ASSETS_DIR\", \"\").strip()\n", + "\n", + "\n", + "def _stage_assets():\n", + " import shutil\n", + " if not ASSETS_DIR or not os.path.isdir(ASSETS_DIR):\n", + " return\n", + " hub = os.path.join(os.environ.get(\"HF_HOME\", os.path.expanduser(\"~/.cache/huggingface\")), \"hub\")\n", + " hub_src = os.path.join(ASSETS_DIR, \"hf_hub\")\n", + " if os.path.isdir(hub_src):\n", + " os.makedirs(hub, exist_ok=True)\n", + " for _n in sorted(os.listdir(hub_src)):\n", + " _s, _d = os.path.join(hub_src, _n), os.path.join(hub, _n)\n", + " if os.path.isdir(_s) and not os.path.exists(_d):\n", + " print(f\"staging {_n} -> HF cache\")\n", + " shutil.copytree(_s, _d, symlinks=True)\n", + " _rs = os.path.join(ASSETS_DIR, \"checkpoints\", \"reference\", \"pretrained_model\")\n", + " _rd = os.environ.get(\"REFERENCE_POLICY\", os.path.expanduser(\"~/checkpoints/reference/pretrained_model\"))\n", + " if os.path.isdir(_rs) and not os.path.isdir(_rd):\n", + " print(f\"staging fine-tuned checkpoint -> {_rd}\")\n", + " os.makedirs(os.path.dirname(_rd), exist_ok=True)\n", + " shutil.copytree(_rs, _rd, symlinks=True)\n", + "\n", + "\n", + "if ASSETS_DIR:\n", + " print(f\"staging assets from {ASSETS_DIR} ...\")\n", + " _stage_assets()\n", + "\n", + "\n", + "# DEFAULT WEIGHT: our fine-tuned LIBERO checkpoint, loaded directly. POLICY_PATH overrides\n", + "# (local dir or a Hugging Face repo id).\n", + "REFERENCE = os.environ.get(\"REFERENCE_POLICY\", os.path.expanduser(\"~/checkpoints/reference/pretrained_model\"))\n", + "_explicit = os.environ.get(\"POLICY_PATH\", \"\").strip()\n", + "\n", + "\n", + "def _is_ckpt(p):\n", + " return bool(p) and os.path.isdir(p) and os.path.exists(os.path.join(p, \"config.json\"))\n", + "\n", + "\n", + "if _explicit:\n", + " POLICY_PATH = _explicit\n", + " print(\"interactive sim will load POLICY_PATH (from env):\", POLICY_PATH)\n", + "elif _is_ckpt(REFERENCE):\n", + " POLICY_PATH = REFERENCE\n", + " print(\"interactive sim will load our fine-tuned checkpoint (default):\", POLICY_PATH)\n", + "else:\n", + " raise FileNotFoundError(\n", + " f\"Fine-tuned checkpoint not found at {REFERENCE}.\\n\"\n", + " \"Stage our fine-tuned checkpoint there (organizers provide it; it is not baked into the \"\n", + " \"image), or set POLICY_PATH=/path (or a Hub repo id).\"\n", + " )" + ], + "id": "isim_setup" + }, + { + "cell_type": "code", + "metadata": {}, + "execution_count": null, + "outputs": [], + "source": [ + "from IPython.display import IFrame, display\n", + "\n", + "# Internal port inside your pod; reached only through the authenticated JupyterHub proxy\n", + "# (never exposed directly). The server binds 0.0.0.0:RT_PORT; jupyter-server-proxy forwards\n", + "# {JUPYTERHUB_SERVICE_PREFIX}/proxy/RT_PORT/ -> 127.0.0.1:RT_PORT.\n", + "RT_PORT = os.environ.get(\"RT_PORT\", \"8080\")\n", + "SIM_SERVER = \"/ryzers/notebooks/scripts/interactive_server_ft.py\"\n", + "\n", + "# Stop a server we started from a previous run of this cell.\n", + "try:\n", + " if globals().get(\"_sim\") and _sim.poll() is None:\n", + " _sim.terminate()\n", + " _sim.wait(timeout=5)\n", + "except Exception:\n", + " pass\n", + "\n", + "# Serve the fine-tuned policy (POLICY_PATH). Stream server logs to a file so the notebook\n", + "# kernel never blocks on a full stdout pipe while the sim runs.\n", + "sim_env = child_env(\n", + " POLICY_PATH=POLICY_PATH,\n", + " PORT=RT_PORT,\n", + " SUITE=os.environ.get(\"SUITE\", \"libero_object\"),\n", + " TASK_ID=os.environ.get(\"TASK_ID\", \"3\"),\n", + ")\n", + "_log_path = os.path.join(OUT_DIR, \"interactive_rt.log\")\n", + "_log = open(_log_path, \"w\")\n", + "_sim = subprocess.Popen(\n", + " [\"/opt/train-venv/bin/python\", SIM_SERVER],\n", + " env=sim_env, stdout=_log, stderr=subprocess.STDOUT,\n", + ")\n", + "print(f\"real-time sim server started (pid {_sim.pid}); loading policy: {POLICY_PATH}\")\n", + "print(\"(first run JIT-compiles kernels; this can take a few minutes)\")\n", + "\n", + "\n", + "def _sim_status():\n", + " try:\n", + " with urllib.request.urlopen(f\"http://127.0.0.1:{RT_PORT}/status\", timeout=3) as r:\n", + " return json.load(r)\n", + " except Exception:\n", + " return None\n", + "\n", + "\n", + "ready, deadline = False, time.time() + 900\n", + "while time.time() < deadline:\n", + " if _sim.poll() is not None:\n", + " print(\"\\nserver exited early; tail of log:\")\n", + " print(\"\".join(open(_log_path).readlines()[-20:]))\n", + " break\n", + " s = _sim_status()\n", + " if s:\n", + " print(\" \" + str(s.get(\"status\", \"\"))[:90], end=\"\\r\")\n", + " if s.get(\"mode\") in (\"idle\", \"running\"):\n", + " ready = True\n", + " break\n", + " if s.get(\"mode\") == \"error\":\n", + " print(\"\\nserver error:\", s.get(\"status\"))\n", + " break\n", + " time.sleep(3)\n", + "\n", + "prefix = os.environ.get(\"JUPYTERHUB_SERVICE_PREFIX\", \"\").rstrip(\"/\")\n", + "sim_url = f\"{prefix}/proxy/{RT_PORT}/\" if prefix else f\"http://localhost:{RT_PORT}/\"\n", + "if ready:\n", + " print(f\"\\nready - interactive sim embedded below (also open in a tab: {sim_url})\")\n", + " display(IFrame(sim_url, width=\"100%\", height=840))\n", + "else:\n", + " print(f\"\\nserver not ready yet; wait a moment and re-run this cell. URL: {sim_url}\")" + ], + "id": "isim_launch" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/projects/Finetuning/scripts/fetch_assets.sh b/projects/Finetuning/scripts/fetch_assets.sh new file mode 100755 index 00000000..2d70eb01 --- /dev/null +++ b/projects/Finetuning/scripts/fetch_assets.sh @@ -0,0 +1,156 @@ +#!/usr/bin/env bash +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# WORKSHOP USER script -- runs INSIDE your notebook server, needs NO sudo and NO kubectl. +# +# Makes the workshop's large inputs (BF16 base checkpoint + LIBERO dataset + fine-tuned checkpoint) +# available to the notebooks WITHOUT downloading anything. Your instructor pre-stages the assets once +# on the machine and mounts them read-only into your server; this wires them into the caches the +# notebooks read. It runs automatically when your server starts, and is safe to re-run by hand. +# +# It handles the two layouts the instructor may have staged: +# (1) UNPACKED read-only shared tree (recommended, ZERO-COPY) at $ASSETS_SRC: +# hf_hub// checkpoints/reference/pretrained_model/ +# -> we SYMLINK these into your cache. Nothing is copied; startup is instant. +# (2) the split-tar bundle (base/ libero/ tokenizer/ droid_dataset/ ft_checkpoint/): +# -> we extract it into your cache and rebuild the fine-tuned checkpoint from base + delta. +# +# Everything lands where the notebooks look: +# $HF_HOME/hub (models--*, datasets--*) +# $REFERENCE_POLICY (checkpoints/reference/pretrained_model) the fine-tuned policy +# +# Usage: +# scripts/fetch_assets.sh # auto-detects the mounted source +# ASSETS_SRC=/path/to/assets scripts/fetch_assets.sh +set -euo pipefail + +HERE="$(cd "$(dirname "$0")" && pwd)" +PY="${PY:-/opt/train-venv/bin/python}" +HF_HOME="${HF_HOME:-$HOME/.cache/huggingface}" +HUB="$HF_HOME/hub" +REFERENCE_POLICY="${REFERENCE_POLICY:-$HOME/checkpoints/reference/pretrained_model}" +REF_PARENT="$(dirname "$REFERENCE_POLICY")" + +# Resolve the source. Explicit ASSETS_SRC wins; otherwise probe the usual mount points, preferring +# the UNPACKED read-only tree (zero-copy) over the split-tar bundle. +ASSETS_SRC="${ASSETS_SRC:-${1:-}}" +if [ -z "$ASSETS_SRC" ]; then + for cand in \ + /opt/auplc-assets/assets \ + /opt/auplc-assets/mm2_workshop_assets \ + /mnt/workshop-assets/assets \ + /mnt/workshop-assets/mm2_workshop_assets \ + /mnt/workshop-assets \ + "$HOME/mm2_workshop_assets" \ + "$HOME/mm2_asset_bundle"; do + if [ -d "$cand" ]; then ASSETS_SRC="$cand"; break; fi + done +fi + +if [ -z "$ASSETS_SRC" ] || [ ! -d "$ASSETS_SRC" ]; then + cat >&2 </dev/null || true)" ] +} + +_stage_ref_from() { # + local src="$1" + if [ -f "$REFERENCE_POLICY/model.safetensors" ] || { [ -L "$REFERENCE_POLICY" ] && [ -f "$REFERENCE_POLICY/model.safetensors" ]; }; then + echo " -> fine-tuned checkpoint: already present, skipping"; return 0 + fi + if [ -f "$src/model.safetensors" ]; then + # Full checkpoint already reconstructed on the shared store -> zero-copy symlink. + rm -rf "$REFERENCE_POLICY" 2>/dev/null || true + ln -sfn "$src" "$REFERENCE_POLICY" + echo " -> linked fine-tuned checkpoint (zero-copy)" + else + # Only a delta present -> copy locally (writable) and rebuild the full checkpoint. + echo " -> fine-tuned checkpoint is a delta; copying + rebuilding locally" + mkdir -p "$REFERENCE_POLICY"; cp -a "$src/." "$REFERENCE_POLICY/" + "$PY" "$HERE/reconstruct_reference.py" \ + --delta "$REFERENCE_POLICY" --out "$REFERENCE_POLICY" --hf-home "$HF_HOME" + fi +} + +# ------------------------------------------------- (1) unpacked read-only tree (zero-copy) ------- +if [ -d "$ASSETS_SRC/hf_hub" ]; then + echo " detected unpacked tree -- linking (zero-copy, nothing is copied)" + for d in "$ASSETS_SRC"/hf_hub/*/; do + [ -d "$d" ] || continue + name="$(basename "${d%/}")" + if _have "$HUB/$name"; then echo " -> $name: present, skipping"; else + ln -sfn "${d%/}" "$HUB/$name"; echo " -> linked $name" + fi + done + [ -d "$ASSETS_SRC/checkpoints/reference/pretrained_model" ] && \ + _stage_ref_from "$ASSETS_SRC/checkpoints/reference/pretrained_model" + +# ------------------------------------------------------------------- (2) split-tar bundle ------- +elif ls "$ASSETS_SRC"/base/base.tar.part-* >/dev/null 2>&1; then + echo " detected split-tar bundle -- extracting into your cache" + _untar_hub() { # + local name="$1"; shift + if _have "$HUB/$name"; then echo " -> $name: already present, skipping"; return 0; fi + echo " -> $name (into HF cache)"; cat "$@" | tar -C "$HUB" -xf - + } + _untar_hub models--allenai--MolmoAct2-DROID "$ASSETS_SRC"/base/base.tar.part-* + _untar_hub datasets--allenai--MolmoAct2-LIBERO-Dataset "$ASSETS_SRC"/libero/libero.tar.part-* + echo " -> tokenizer (into HF cache)"; tar -C "$HUB" -xf "$ASSETS_SRC"/tokenizer/tokenizer.tar + if ls "$ASSETS_SRC"/droid_dataset/droid_dataset.tar.part-* >/dev/null 2>&1; then + _untar_hub datasets--allenai--MolmoAct2-DROID-Dataset "$ASSETS_SRC"/droid_dataset/droid_dataset.tar.part-* + fi + if [ -f "$REFERENCE_POLICY/model.safetensors" ]; then + echo " -> fine-tuned checkpoint: already built, skipping" + else + echo " -> fine-tuned checkpoint delta (-> $REF_PARENT)" + cat "$ASSETS_SRC"/ft_checkpoint/ft.tar.part-* | tar -C "$REF_PARENT" -xf - + echo " -> rebuilding full fine-tuned checkpoint from BF16 base + delta" + "$PY" "$HERE/reconstruct_reference.py" \ + --delta "$REFERENCE_POLICY" --out "$REFERENCE_POLICY" --hf-home "$HF_HOME" + fi + +else + echo "ERROR: $ASSETS_SRC has neither hf_hub/ nor base/base.tar.part-* -- unknown layout." >&2 + exit 2 +fi + +# LeRobot (Step-4 fine-tune) resolves datasets under $HF_LEROBOT_HOME/{repo_id}, NOT the HF hub +# cache. Expose the hub-cached LIBERO dataset there via a symlink so offline training reads the same +# blobs instead of re-downloading 33 GB. +LEROBOT_HOME="${HF_LEROBOT_HOME:-$HF_HOME/lerobot}" +_link_lerobot_dataset() { # + local hubname="$1" repo="$2" snap + snap="$(ls -d "$HUB/$hubname"/snapshots/*/ 2>/dev/null | head -1)" + [ -n "$snap" ] || { echo " WARN: no snapshot for $hubname; LeRobot link skipped"; return 0; } + mkdir -p "$LEROBOT_HOME/$(dirname "$repo")" + ln -sfn "${snap%/}" "$LEROBOT_HOME/$repo" + echo " -> LeRobot dataset link: $LEROBOT_HOME/$repo" +} +_link_lerobot_dataset datasets--allenai--MolmoAct2-LIBERO-Dataset allenai/MolmoAct2-LIBERO-Dataset + +echo "=== verify ===" +ls -ld "$HUB"/models--allenai--MolmoAct2-DROID 2>/dev/null || true +ls -ld "$HUB"/datasets--allenai--MolmoAct2-LIBERO-Dataset 2>/dev/null || true +ls -ld "$REFERENCE_POLICY" 2>/dev/null || true +if [ -f "$REFERENCE_POLICY/config.json" ]; then + echo "fine-tuned checkpoint: config.json present" +else + echo "WARN: $REFERENCE_POLICY/config.json missing" +fi +echo "done -- open the notebooks and Run All; downloads are skipped (assets already staged)." diff --git a/projects/Finetuning/scripts/interactive_server_ft.py b/projects/Finetuning/scripts/interactive_server_ft.py new file mode 100644 index 00000000..ebeb536d --- /dev/null +++ b/projects/Finetuning/scripts/interactive_server_ft.py @@ -0,0 +1,520 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Interactive MolmoAct2 x LIBERO demo for FINE-TUNED checkpoints - SYNCHRONOUS rollout. + +Synchronous (chunk-replay) interactive server. Unlike a real-time RTC engine (plan-ahead + +blend), it runs the exact same closed-loop receding-horizon control loop as the Step-5 LIBERO +eval: `lerobot_eval.rollout` plans an action chunk, executes it, then re-plans - the world is +effectively frozen during each model forward. This is the deterministic, best-behaved demo (no +blend artifacts), at the cost of hiding planner latency (the arm pauses briefly to think between +chunks). Use this when policy precision matters more than continuous motion (e.g. real-time +blending was dropping grasped objects). + +Policy loading matches the RT server and the Step-5 eval: a LeRobot-format fine-tuned checkpoint +via `--policy.path` (processor + normalization stats restored from the checkpoint, no norm_tag), +on the trainable allenai/lerobot@molmoact2-policy stack in /opt/train-venv. If POLICY_PATH is +unset it falls back to a released HF checkpoint via `--policy.checkpoint_path` + `--policy.norm_tag`. + +lerobot 0.5.2 note: `rollout` reads the task itself via `env.call("task_description")` (the old +`ev.add_envs_task` injection hook was removed), so we intercept `env.call` to feed the user's live +instruction into the loop. + +Command-driven UX identical to the RT demo: idle on a scene until you send an instruction; then it +resets the env + policy and runs that one task, streaming the camera (single-frame /frame polling, +proxy-friendly) and saving a debug video. Randomize swaps to a new random scene. + +Env: POLICY_PATH (LeRobot fine-tuned ckpt dir/Hub repo) OR CKPT (released HF repo), +NORM_TAG (libero, only for the CKPT fallback), SUITE, TASK_ID, SEED, PORT (8080), +VIEW_RES (720), VIDEO_RES (600), NUM_STEPS, OUT_DIR (/outputs). +Open http://localhost:PORT, or embed via jupyter-server-proxy ({PREFIX}/proxy/PORT/). +""" +import io +import json +import os +import random +import threading +import time +from datetime import datetime +from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer +from urllib.parse import parse_qs, urlparse + +import numpy as np +from PIL import Image, ImageDraw, ImageFont + +SUITE = os.environ.get("SUITE", "libero_object") +TASK_ID = int(os.environ.get("TASK_ID") or "3") +SEED = int(os.environ.get("SEED") or "1000") +POLICY_PATH = os.environ.get("POLICY_PATH", "").strip() +CKPT = os.environ.get("CKPT", "allenai/MolmoAct2-LIBERO").strip() # fallback (non-Think) +NORM_TAG = os.environ.get("NORM_TAG", "libero") +PORT = int(os.environ.get("PORT") or "8080") +VIEW_RES = int(os.environ.get("VIEW_RES") or "720") # live viewport (proxy-friendly single frames) +VIDEO_RES = int(os.environ.get("VIDEO_RES") or "600") # saved debug video (kept small) +OUT_DIR = os.environ.get("OUT_DIR", "/outputs") +SUITES = ["libero_object", "libero_goal", "libero_spatial", "libero_10"] + +# ---- shared state ------------------------------------------------------------ +STATE = { + "mode": "loading", # loading | idle | running | error + "instruction": "", # the instruction currently being executed + "scene_task": "", # the scene's native LIBERO instruction + "suite": SUITE, "task_id": TASK_ID, + "objects": [], # object names visible in the scene + "step": 0, "infer_ms": 0.0, "success": False, + "status": "starting", "frame": None, "video_url": "", +} +LOCK = threading.Lock() +PENDING = {"action": None, "instruction": ""} +EVENT = threading.Event() +STOP = {"flag": False} + + +class StopRollout(Exception): + pass + + +def _font(size): + for p in ("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", + "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf"): + if os.path.exists(p): + return ImageFont.truetype(p, size) + return ImageFont.load_default() + + +def _encode_jpeg(rgb, quality=85): + buf = io.BytesIO() + Image.fromarray(np.ascontiguousarray(rgb)).save(buf, format="JPEG", quality=quality) + return buf.getvalue() + + +def _set_frame(rgb): + with LOCK: + STATE["frame"] = _encode_jpeg(rgb) + + +def _banner_frame(rgb, text, size): + """Downscale to `size` and add a top banner with the executed command.""" + img = Image.fromarray(np.ascontiguousarray(rgb)).resize((size, size), Image.BILINEAR) + bh = max(40, size // 12) + bh += bh % 2 + canvas = Image.new("RGB", (size, size + bh), (15, 15, 18)) + canvas.paste(img, (0, bh)) + d = ImageDraw.Draw(canvas) + f = _font(max(14, size // 28)) + msg = text if len(text) <= 70 else text[:67] + "..." + d.text((10, bh // 2), msg, fill=(240, 240, 240), font=f, anchor="lm") + return np.asarray(canvas) + + +class Scene: + """Holds a single (suite, task_id) vec env + its metadata. Built via make_env so + obs_type / processors match the lerobot eval path exactly.""" + + def __init__(self, suite, task_id, env, scene_task, objects): + self.suite, self.task_id = suite, task_id + self.env, self.scene_task, self.objects = env, scene_task, objects + + def hi_res(self, size): + try: + le = self.env.envs[0] + img = le._env.sim.render(width=size, height=size, camera_name="agentview") + return np.asarray(img)[::-1, ::-1] + except Exception: + return np.asarray(self.env.call("render")[0]) + + def idle_frame(self, size): + try: + self.env.reset(seed=SEED) + except Exception: + pass + return self.hi_res(size) + + +# Runtime overrides applied to the loaded checkpoint config when using --policy.path. +# (lerobot's path-field filter strips inline --policy.* overrides, so we set these on the +# config object after parsing instead.) +_PATH_OVERRIDES = { + "device": "cuda", + "inference_action_mode": "continuous", + "model_dtype": "bfloat16", + "use_amp": True, + "enable_inference_cuda_graph": False, +} + + +def _fallback_policy_cli(): + """Policy argv for the FALLBACK case: a released HF checkpoint via --policy.checkpoint_path + (draccus parses these natively). Used only when POLICY_PATH is unset.""" + args = [ + "--policy.type=molmoact2", + f"--policy.checkpoint_path={CKPT}", + f"--policy.norm_tag={NORM_TAG}", + "--policy.inference_action_mode=continuous", + "--policy.model_dtype=bfloat16", + "--policy.use_amp=true", + "--policy.enable_inference_cuda_graph=false", + "--policy.device=cuda", + ] + if os.environ.get("NUM_STEPS"): + args.append(f"--policy.num_inference_steps={os.environ['NUM_STEPS']}") + return args + + +def rollout_thread(): + import torch + import draccus + from lerobot.configs import parser as lrparser + from lerobot.configs.eval import EvalPipelineConfig + from lerobot.envs.factory import make_env, make_env_pre_post_processors + from lerobot.policies.factory import make_policy, make_pre_post_processors + import lerobot.scripts.lerobot_eval as ev + + preprocess_observation = ev.preprocess_observation + + src = POLICY_PATH if POLICY_PATH else CKPT + common = [ + "--env.type=libero", + "--env.camera_name_mapping={\"agentview_image\":\"image\",\"robot0_eye_in_hand_image\":\"wrist_image\"}", + "--eval.batch_size=1", "--eval.n_episodes=1", + f"--seed={SEED}", "--output_dir=/tmp/interactive_ft_eval", + ] + + def parse_eval(extra): + """Build an EvalPipelineConfig. For a fine-tuned LeRobot checkpoint we register its + path in lerobot's path-field registry (what `@parser.wrap()` does for --policy.path) + so draccus loads the pretrained policy config, then apply runtime overrides on the + config object (the path-field filter would otherwise drop inline --policy.* flags). + For the released-HF fallback we pass --policy.type/--policy.checkpoint_path natively.""" + if POLICY_PATH: + lrparser._config_path_args["policy"] = POLICY_PATH # noqa: SLF001 + cfg = draccus.parse(EvalPipelineConfig, args=list(common) + list(extra)) + for k, v in _PATH_OVERRIDES.items(): + if hasattr(cfg.policy, k): + setattr(cfg.policy, k, v) + if os.environ.get("NUM_STEPS") and hasattr(cfg.policy, "num_inference_steps"): + cfg.policy.num_inference_steps = int(os.environ["NUM_STEPS"]) + else: + cfg = draccus.parse(EvalPipelineConfig, args=_fallback_policy_cli() + list(common) + list(extra)) + return cfg + + with LOCK: + STATE["status"] = f"loading policy from {src} (first run JIT-compiles kernels) ..." + base_cfg = parse_eval([f"--env.task={SUITE}", f"--env.task_ids=[{TASK_ID}]"]) + policy = make_policy(cfg=base_cfg.policy, env_cfg=base_cfg.env, rename_map=base_cfg.rename_map) + policy.eval() + preprocessor, postprocessor = make_pre_post_processors( + policy_cfg=base_cfg.policy, pretrained_path=base_cfg.policy.pretrained_path, + preprocessor_overrides={ + "device_processor": {"device": str(policy.config.device)}, + "rename_observations_processor": {"rename_map": base_cfg.rename_map}, + }, + ) + env_pre, env_post = make_env_pre_post_processors(env_cfg=base_cfg.env, policy_cfg=base_cfg.policy) + + def build_scene(suite, task_id): + cfg = parse_eval([f"--env.task={suite}", f"--env.task_ids=[{task_id}]"]) + envs = make_env(cfg.env, n_envs=1, use_async_envs=False, trust_remote_code=cfg.trust_remote_code) + env = envs[suite][task_id] + # lerobot 0.5.2 rollout pulls the task via env.call("task_description"); intercept it so + # we can inject the user's live instruction (the old ev.add_envs_task hook is gone). When + # holder["instr"] is None (idle scene) we defer to the env's native task description. + _true_call = env.call + holder = {"instr": None} + + def _call(name, *a, **k): + if holder["instr"] is not None and name in ("task_description", "task"): + return [holder["instr"]] * env.num_envs + return _true_call(name, *a, **k) + + env.call = _call + env._instr_holder = holder + env.reset(seed=SEED) + le = env.envs[0] + scene_task = getattr(le, "task_description", "") or "" + try: + objs = [getattr(o, "name", str(o)).replace("_1", "").replace("_", " ") + for o in le._env.env.objects] + except Exception: + objs = list(getattr(le._env, "obj_of_interest", [])) + return Scene(suite, task_id, env, scene_task, objs) + + def show_idle(sc): + sc.env._instr_holder["instr"] = None # idle scene uses its native task description + with LOCK: + STATE.update(mode="idle", status="idle - send an instruction", step=0, + success=False, suite=sc.suite, task_id=sc.task_id, + scene_task=sc.scene_task, objects=sc.objects, + instruction="", video_url="") + STATE.pop("_video_path", None) + _set_frame(sc.idle_frame(VIEW_RES)) + + os.makedirs(os.path.join(OUT_DIR, "interactive_ft"), exist_ok=True) + scene = build_scene(SUITE, TASK_ID) + + # Warm up flash/JIT kernels NOW (the first model forward compiles them and can take ~20s); + # otherwise that one-time stall would freeze the first command with no feedback. + with LOCK: + STATE["status"] = "warming up GPU kernels (one-time JIT) ..." + try: + wobs, _ = scene.env.reset(seed=SEED) + wproc = preprocess_observation(wobs) + wproc["task"] = [scene.scene_task or "pick up the object" for _ in range(scene.env.num_envs)] + wproc = env_pre(wproc) + wproc = preprocessor(wproc) + _t = time.perf_counter() + with torch.inference_mode(): + policy.select_action(wproc) + policy.reset() + print(f"[warmup] done in {time.perf_counter() - _t:.1f}s", flush=True) + except Exception as e: # noqa: BLE001 + import traceback; traceback.print_exc() + print("warmup failed:", e, flush=True) + + show_idle(scene) + + def run_command(sc, instruction): + sc.env._instr_holder["instr"] = instruction # rollout will read this via env.call + with LOCK: + STATE.update(mode="running", instruction=instruction, step=0, success=False, + status=f"running: {instruction}", video_url="") + STOP["flag"] = False + frames = [] + + def render_cb(vec_env): + if STOP["flag"]: + raise StopRollout + rgb = sc.hi_res(VIEW_RES) + _set_frame(rgb) + frames.append(_banner_frame(rgb, instruction, VIDEO_RES)) + v = getattr(policy, "_last_model_inference_s", 0.0) * 1000.0 + with LOCK: + STATE["step"] += 1 + if v > 0: + STATE["infer_ms"] = round(v, 0) + + success = False + try: + with torch.no_grad(): + out = ev.rollout(sc.env, policy, env_preprocessor=env_pre, env_postprocessor=env_post, + preprocessor=preprocessor, postprocessor=postprocessor, + seeds=[SEED], render_callback=render_cb) + try: + success = bool(np.asarray(out["success"]).any()) + except Exception: + success = False + except StopRollout: + with LOCK: + STATE["status"] = "stopped" + + url = "" + if frames: + ts = datetime.now().strftime("%H%M%S") + name = f"interactive_ft/{ts}_{sc.suite}_{sc.task_id}_{'ok' if success else 'run'}.mp4" + path = os.path.join(OUT_DIR, name) + try: + import imageio + with imageio.get_writer(path, fps=20, codec="libx264", quality=8, + macro_block_size=1, output_params=["-pix_fmt", "yuv420p"]) as w: + for fr in frames: + w.append_data(fr) + url = "video?ts=" + ts + with LOCK: + STATE["_video_path"] = path + except Exception as e: # noqa: BLE001 + print("video save failed:", e, flush=True) + + with LOCK: + STATE.update(mode="idle", success=success, video_url=url, + status=("success" if success else ("stopped" if STOP["flag"] else "done"))) + show_idle(sc) + + while True: + EVENT.wait() + EVENT.clear() + with LOCK: + action, instruction = PENDING["action"], PENDING["instruction"] + PENDING["action"] = None + if action == "randomize": + STOP["flag"] = True + suite = random.choice(SUITES) + tid = random.randint(0, 9) + with LOCK: + STATE["status"] = f"loading scene {suite}/{tid} ..." + try: + new_scene = build_scene(suite, tid) + except Exception as e: # noqa: BLE001 + with LOCK: + STATE["status"] = f"scene build failed: {e}" + continue + try: + scene.env.close() + except Exception: + pass + scene = new_scene + show_idle(scene) + elif action == "run": + run_command(scene, instruction) + + +# --------------------------------------------------------------------------- +PAGE = b""" +MolmoAct2 x LIBERO (fine-tuned, synchronous) +

    +

    MolmoAct2 x LIBERO - fine-tuned checkpoint (synchronous)

    +

    Deterministic closed-loop rollout: the policy plans an action chunk, the sim executes it, then it re-plans (the same receding-horizon loop as the Step-5 eval). The arm pauses briefly to think between chunks - no real-time blending.

    +sim +
    + + + + +
    +
    status: loading...
    +
    scene
    +
    +
    +""" + + +class Handler(BaseHTTPRequestHandler): + def log_message(self, *a): + pass + + def _send(self, code, ctype, body): + self.send_response(code) + self.send_header("Content-Type", ctype) + self.send_header("Content-Length", str(len(body))) + self.end_headers() + self.wfile.write(body) + + def do_GET(self): + path = urlparse(self.path).path + if path == "/": + self._send(200, "text/html; charset=utf-8", PAGE) + elif path == "/status": + with LOCK: + s = {k: STATE[k] for k in ("mode", "status", "instruction", "scene_task", + "suite", "task_id", "objects", "step", "infer_ms", + "success", "video_url")} + self._send(200, "application/json", json.dumps(s).encode()) + elif path == "/video": + with LOCK: + p = STATE.get("_video_path") + if p and os.path.exists(p): + with open(p, "rb") as f: + self._send(200, "video/mp4", f.read()) + else: + self._send(404, "text/plain", b"no video") + elif path == "/frame": + with LOCK: + frame = STATE.get("frame") + if frame: + self._send(200, "image/jpeg", frame) + else: + self._send(404, "text/plain", b"no frame") + elif path == "/stream": + self.send_response(200) + self.send_header("Content-Type", "multipart/x-mixed-replace; boundary=frame") + self.end_headers() + try: + while True: + with LOCK: + frame = STATE["frame"] + if frame: + self.wfile.write(b"--frame\r\nContent-Type: image/jpeg\r\n") + self.wfile.write(f"Content-Length: {len(frame)}\r\n\r\n".encode()) + self.wfile.write(frame) + self.wfile.write(b"\r\n") + time.sleep(0.06) + except (BrokenPipeError, ConnectionResetError): + pass + else: + self._send(404, "text/plain", b"not found") + + def do_POST(self): + path = urlparse(self.path).path + if path == "/command": + n = int(self.headers.get("Content-Length", "0")) + instr = parse_qs(self.rfile.read(n).decode()).get("instruction", [""])[0].strip() + if instr: + STOP["flag"] = True + with LOCK: + PENDING["action"], PENDING["instruction"] = "run", instr + EVENT.set() + self.send_response(204) + self.end_headers() + elif path == "/stop": + STOP["flag"] = True + self.send_response(204) + self.end_headers() + elif path == "/randomize": + STOP["flag"] = True + with LOCK: + PENDING["action"] = "randomize" + EVENT.set() + self.send_response(204) + self.end_headers() + else: + self.send_response(404) + self.end_headers() + + +def _engine_guard(): + """Run the rollout thread; on any unhandled error surface it in STATE so the UI shows + 'error' instead of hanging on 'loading' forever (important for the workshop).""" + try: + rollout_thread() + except Exception as e: # noqa: BLE001 + import traceback + traceback.print_exc() + with LOCK: + STATE["mode"] = "error" + STATE["status"] = f"engine failed: {e}" + + +def main(): + threading.Thread(target=_engine_guard, daemon=True).start() + srv = ThreadingHTTPServer(("0.0.0.0", PORT), Handler) + print(f"interactive (fine-tuned, synchronous) demo on http://localhost:{PORT} " + f"(remote box: ssh -L {PORT}:localhost:{PORT} )", flush=True) + srv.serve_forever() + + +if __name__ == "__main__": + main() diff --git a/projects/Finetuning/scripts/make_libero_subset.py b/projects/Finetuning/scripts/make_libero_subset.py new file mode 100755 index 00000000..4603bc18 --- /dev/null +++ b/projects/Finetuning/scripts/make_libero_subset.py @@ -0,0 +1,299 @@ +#!/usr/bin/env python3 +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Build a small, self-consistent subset of a LeRobot v3.0 dataset (e.g. the MolmoAct2 LIBERO +dataset) so the workshop payload is ~1 GB instead of ~33 GB. The subset is a drop-in replacement: +same repo id, same HF-cache layout (blobs/ + snapshots// + refs/main), so staging and the +notebook's offline prefetch keep working unchanged, and `lerobot-train` trains on exactly the +episodes present (no episode list is hard-coded in the notebook). + +Two selection modes: + + stratified (default) - round-robin across every task so the subset keeps a LARGE task + distribution (all/most tasks represented), not just the first few. Episodes are then + non-contiguous in the source, so the data parquet files are re-packed and the global + `index` / `episode_index` columns and per-episode metadata are re-numbered. `task_index` + values are preserved and `tasks.parquet` is kept whole, so no task re-mapping is needed. + + prefix - keep a contiguous prefix of data files (fast, reuses the original cache blobs, no + re-encode) but only covers the first tasks. Handy for a quick tiny build. + +The kept episode set is always derived from the ACTUAL `episode_index` values inside the data +parquet files, because this dataset's meta `data/file_index` column does NOT line up with the +parquet file numbering. + +Usage: + make_libero_subset.py --repo-cache /datasets--allenai--MolmoAct2-LIBERO-Dataset \ + --out [--target-gb 1.0] [--mode stratified|prefix] \ + [--episodes-per-task N] + + ends up containing datasets--/ ready to tar into the workshop bundle +(unpack_bundle.sh extracts it straight into ASSETS_DIR/hf_hub). +""" +import argparse +import hashlib +import io +import json +import os +import shutil +from collections import defaultdict + +import pyarrow as pa +import pyarrow.compute as pc +import pyarrow.parquet as pq + + +def _sha256_bytes(b): + return hashlib.sha256(b).hexdigest() + + +def _snapshot_dir(repo_cache): + sha = open(os.path.join(repo_cache, "refs", "main")).read().strip() + snap = os.path.join(repo_cache, "snapshots", sha) + if not os.path.isdir(snap): + raise SystemExit(f"snapshot dir not found for refs/main={sha}: {snap}") + return sha, snap + + +def _link_only(out_snap, rel, blob_abs): + link = os.path.join(out_snap, rel) + os.makedirs(os.path.dirname(link), exist_ok=True) + if os.path.lexists(link): + os.remove(link) + os.symlink(os.path.relpath(blob_abs, start=os.path.dirname(link)), link) + + +def _reuse_blob(src_snap, out_repo, out_snap, rel): + """Reuse the ORIGINAL cache blob for an unchanged file (copy blob + relative symlink).""" + blob = os.path.realpath(os.path.join(src_snap, rel)) + dst = os.path.join(out_repo, "blobs", os.path.basename(blob)) + if not os.path.exists(dst): + shutil.copy2(blob, dst) + _link_only(out_snap, rel, dst) + + +def _write_blob(out_repo, out_snap, rel, data_bytes): + """Write NEW content as a fresh blob + snapshot symlink.""" + h = _sha256_bytes(data_bytes) + dst = os.path.join(out_repo, "blobs", h) + if not os.path.exists(dst): + with open(dst, "wb") as f: + f.write(data_bytes) + _link_only(out_snap, rel, dst) + + +def _table_bytes(tbl): + buf = io.BytesIO() + pq.write_table(tbl, buf) + return buf.getvalue() + + +def _build_ep_to_file(snap, data_files): + """Map episode_index -> data filename by reading the ACTUAL episode_index column of each file + (meta data/file_index is unreliable for this dataset). Assumes an episode lives in one file.""" + ep2file = {} + for fn in data_files: + col = pq.read_table( + os.path.realpath(os.path.join(snap, "data", "chunk-000", fn)), columns=["episode_index"] + ).column("episode_index").to_pylist() + for e in set(col): + ep2file[int(e)] = fn + return ep2file + + +def _select_stratified(ep, target_frames, episodes_per_task): + """Round-robin across tasks (by task string set) until ~target_frames, capped per task.""" + n = len(ep["episode_index"]) + groups = defaultdict(list) + for i in range(n): + groups[tuple(ep["tasks"][i])].append(i) + task_keys = sorted(groups, key=lambda k: min(groups[k])) + for k in task_keys: + groups[k].sort() + pos = {k: 0 for k in task_keys} + taken = {k: 0 for k in task_keys} + selected, frames = [], 0 + progressed = True + while frames < target_frames and progressed: + progressed = False + for k in task_keys: + if pos[k] < len(groups[k]) and (episodes_per_task <= 0 or taken[k] < episodes_per_task): + e = groups[k][pos[k]] + pos[k] += 1 + taken[k] += 1 + selected.append(e) + frames += int(ep["length"][e]) + progressed = True + if frames >= target_frames: + break + return sorted(selected), len(task_keys) + + +def _select_prefix(snap, data_files, sizes, target_bytes): + cum, n_files = 0, 0 + for i, s in enumerate(sizes): + cum += s + n_files = i + 1 + if cum >= target_bytes: + break + kept_eps = set() + for i in range(n_files): + col = pq.read_table( + os.path.realpath(os.path.join(snap, "data", "chunk-000", data_files[i])), + columns=["episode_index"], + ).column("episode_index").to_pylist() + kept_eps.update(int(x) for x in col) + return sorted(kept_eps), n_files + + +def _repack(snap, out_repo, out_snap, ep_tbl, ep, selected, ep2file, data_files_size_mb): + """Re-pack the selected episodes' rows into new data parquet files with renumbered global + `index` (0..N-1) and `episode_index` (0..K-1); rebuild meta/episodes accordingly.""" + thresh = int(data_files_size_mb * 1e6) + buf, buf_bytes, fidx, g = [], 0, 0, 0 + new_ep_file = {} # new_ep -> data file index + written = [] # (fidx, table) + cached_fn, cached_tbl = None, None + + def flush(): + nonlocal buf, buf_bytes, fidx + if not buf: + return + tbl = pa.concat_tables(buf) + _write_blob(out_repo, out_snap, f"data/chunk-000/file-{fidx:03d}.parquet", _table_bytes(tbl)) + fidx += 1 + buf, buf_bytes = [], 0 + + lengths = [] + for new_ep, e in enumerate(selected): + fn = ep2file[e] + if fn != cached_fn: + cached_tbl = pq.read_table(os.path.realpath(os.path.join(snap, "data", "chunk-000", fn))) + cached_fn = fn + rows = cached_tbl.filter(pc.equal(cached_tbl.column("episode_index"), e)) + m = rows.num_rows + idx_arr = pa.array(list(range(g, g + m)), type=pa.int64()) + ep_arr = pa.array([new_ep] * m, type=pa.int64()) + rows = rows.set_column(rows.schema.get_field_index("index"), "index", idx_arr) + rows = rows.set_column(rows.schema.get_field_index("episode_index"), "episode_index", ep_arr) + new_ep_file[new_ep] = fidx + g += m + lengths.append(m) + buf.append(rows) + buf_bytes += rows.nbytes + if buf_bytes >= thresh: + flush() + flush() + total_frames = g + + # rebuild meta/episodes: take selected rows (in order), renumber the bookkeeping columns + sub = ep_tbl.take(pa.array(selected, type=pa.int64())) + K = len(selected) + froms, tos, acc = [], [], 0 + for L in lengths: + froms.append(acc) + tos.append(acc + L) + acc += L + + def setcol(t, name, arr): + return t.set_column(t.schema.get_field_index(name), name, pa.array(arr, type=pa.int64())) + + sub = setcol(sub, "episode_index", list(range(K))) + sub = setcol(sub, "dataset_from_index", froms) + sub = setcol(sub, "dataset_to_index", tos) + sub = setcol(sub, "data/chunk_index", [0] * K) + sub = setcol(sub, "data/file_index", [new_ep_file[i] for i in range(K)]) + if "meta/episodes/chunk_index" in sub.column_names: + sub = setcol(sub, "meta/episodes/chunk_index", [0] * K) + sub = setcol(sub, "meta/episodes/file_index", [0] * K) + # cross-check meta length column matches actual rows + meta_len = sub.column("length").to_pylist() + assert meta_len == lengths, "meta length column disagrees with packed rows" + _write_blob(out_repo, out_snap, "meta/episodes/chunk-000/file-000.parquet", _table_bytes(sub)) + return K, total_frames, fidx + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--repo-cache", required=True) + ap.add_argument("--out", required=True) + ap.add_argument("--target-gb", type=float, default=1.0) + ap.add_argument("--mode", choices=["stratified", "prefix"], default="stratified") + ap.add_argument("--episodes-per-task", type=int, default=0, + help="stratified: cap episodes taken per task (0 = no cap)") + args = ap.parse_args() + + repo_cache = os.path.abspath(args.repo_cache) + repo_name = os.path.basename(repo_cache.rstrip("/")) + sha, snap = _snapshot_dir(repo_cache) + + info = json.load(open(os.path.join(snap, "meta", "info.json"))) + ep_tbl = pq.read_table(os.path.join(snap, "meta", "episodes", "chunk-000", "file-000.parquet")) + ep = ep_tbl.to_pydict() + n_ep_total = len(ep["episode_index"]) + assert ep["episode_index"] == list(range(n_ep_total)), "meta episodes not 0..N contiguous" + + data_dir = os.path.join(snap, "data", "chunk-000") + data_files = sorted(f for f in os.listdir(data_dir) if f.endswith(".parquet")) + sizes = [os.path.getsize(os.path.realpath(os.path.join(data_dir, f))) for f in data_files] + total_bytes = sum(sizes) + bytes_per_frame = total_bytes / info["total_frames"] + + out_repo = os.path.join(os.path.abspath(args.out), repo_name) + out_snap = os.path.join(out_repo, "snapshots", sha) + os.makedirs(os.path.join(out_repo, "blobs"), exist_ok=True) + os.makedirs(out_snap, exist_ok=True) + os.makedirs(os.path.join(out_repo, "refs"), exist_ok=True) + open(os.path.join(out_repo, "refs", "main"), "w").write(sha) + + # unchanged files reused from the original cache + reuse = ["meta/stats.json", "meta/tasks.parquet"] + for opt in (".gitattributes", "README.md"): + if os.path.lexists(os.path.join(snap, opt)): + reuse.append(opt) + + print(f"source: {repo_name} sha={sha[:12]} episodes={n_ep_total} tasks={info['total_tasks']} " + f"frames={info['total_frames']} ({total_bytes/1e9:.1f} GB, {bytes_per_frame/1e3:.0f} KB/frame)") + + if args.mode == "prefix": + selected, n_files = _select_prefix(snap, data_files, sizes, args.target_gb * 1e9) + assert selected == list(range(len(selected))), "prefix episodes not contiguous 0..N" + K = len(selected) + total_frames = int(ep["dataset_to_index"][K - 1]) + # reuse the original data-file blobs 0..n_files-1 as-is + for i in range(n_files): + reuse.append(f"data/chunk-000/{data_files[i]}") + for rel in reuse: + _reuse_blob(snap, out_repo, out_snap, rel) + _write_blob(out_repo, out_snap, "meta/episodes/chunk-000/file-000.parquet", + _table_bytes(ep_tbl.slice(0, K))) + n_data = n_files + tasks = sorted({t for row in ep["tasks"][:K] for t in row}) + else: + target_frames = int(args.target_gb * 1e9 / bytes_per_frame) + selected, n_tasks = _select_stratified(ep, target_frames, args.episodes_per_task) + for rel in reuse: + _reuse_blob(snap, out_repo, out_snap, rel) + ep2file = _build_ep_to_file(snap, data_files) + K, total_frames, n_data = _repack( + snap, out_repo, out_snap, ep_tbl, ep, selected, ep2file, info["data_files_size_in_mb"] + ) + tasks = sorted({t for e in selected for t in ep["tasks"][e]}) + + info["total_episodes"] = K + info["total_frames"] = total_frames + info["splits"] = {"train": f"0:{K}"} + _write_blob(out_repo, out_snap, "meta/info.json", (json.dumps(info, indent=4) + "\n").encode()) + + kept_bytes = sum( + os.path.getsize(os.path.realpath(p)) + for p in [os.path.join(out_snap, "data", "chunk-000", f) + for f in os.listdir(os.path.join(out_snap, "data", "chunk-000"))] + ) + print(f"mode={args.mode} -> {K} episodes, {total_frames} frames, {n_data} data files, " + f"{len(tasks)}/{info['total_tasks']} tasks, {kept_bytes/1e9:.2f} GB") + print(f"wrote subset -> {out_repo}") + + +if __name__ == "__main__": + main() diff --git a/projects/Finetuning/scripts/prestage_shared.sh b/projects/Finetuning/scripts/prestage_shared.sh new file mode 100755 index 00000000..ac6cb67c --- /dev/null +++ b/projects/Finetuning/scripts/prestage_shared.sh @@ -0,0 +1,50 @@ +#!/usr/bin/env bash +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# ORGANIZER one-time pre-stage. Run ONCE, before the workshop. Unpacks the split OneDrive bundle +# into a single READ-ONLY shared tree and rebuilds the full fine-tuned checkpoint ONCE, so every +# attendee's server can LINK to it with zero copying (no per-attendee download, no sudo at runtime). +# +# Because it needs the training Python (torch/safetensors) and writes under /opt, run it INSIDE the +# course image as root, e.g.: +# sudo mkdir -p /opt/auplc-assets/assets +# docker run --rm --user 0:0 -v /opt/auplc-assets:/opt/auplc-assets \ +# --entrypoint bash ghcr.io/amdresearch/auplc-finetuning:latest \ +# /ryzers/notebooks/scripts/prestage_shared.sh \ +# /opt/auplc-assets/mm2_workshop_assets /opt/auplc-assets/assets +# +# Result layout (world-readable): +# /hf_hub// +# /checkpoints/reference/pretrained_model/ (FULL, reconstructed model.safetensors) +set -euo pipefail + +HERE="$(cd "$(dirname "$0")" && pwd)" +PY="${PY:-/opt/train-venv/bin/python}" +command -v "$PY" >/dev/null 2>&1 || PY="python3" + +BUNDLE="${1:?usage: prestage_shared.sh [ASSETS_DIR]}" +ASSETS_DIR="${2:-$(dirname "$BUNDLE")/assets}" +[ -d "$BUNDLE" ] || { echo "ERROR: bundle dir not found: $BUNDLE" >&2; exit 2; } + +echo "pre-staging shared read-only assets" +echo " bundle = $BUNDLE" +echo " assets dir = $ASSETS_DIR" + +# 1) Unpack the split-tar bundle into hf_hub/ + checkpoints/reference/pretrained_model (delta). +"$HERE/unpack_bundle.sh" "$BUNDLE" "$ASSETS_DIR" + +# 2) Rebuild the FULL fine-tuned checkpoint ONCE from the BF16 base + delta, in place. +REF="$ASSETS_DIR/checkpoints/reference/pretrained_model" +if [ -f "$REF/model.safetensors" ]; then + echo " reference checkpoint already reconstructed, skipping" +else + echo " rebuilding full fine-tuned checkpoint (BF16 base + delta) ..." + "$PY" "$HERE/reconstruct_reference.py" --delta "$REF" --out "$REF" --hub "$ASSETS_DIR/hf_hub" +fi + +# 3) Make the whole tree world-readable so attendee pods (non-root) can read it. +chmod -R a+rX "$ASSETS_DIR" + +echo "done. Shared assets ready at: $ASSETS_DIR" +echo "The installer mounts $(dirname "$ASSETS_DIR") read-only into every server; attendees do nothing." diff --git a/projects/Finetuning/scripts/prestage_to_pod.sh b/projects/Finetuning/scripts/prestage_to_pod.sh new file mode 100755 index 00000000..fd0f6fbf --- /dev/null +++ b/projects/Finetuning/scripts/prestage_to_pod.sh @@ -0,0 +1,89 @@ +#!/usr/bin/env bash +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# Load the offline asset bundle (base checkpoint + LIBERO dataset + fine-tuned checkpoint) from a +# persistent host location DIRECTLY into a running JupyterHub single-user pod, placing everything +# at the paths the notebooks expect: +# - HF cache -> /home/jovyan/.cache/huggingface/hub (models--*, datasets--*) +# - fine-tuned policy -> /home/jovyan/checkpoints/reference/pretrained_model (= REFERENCE_POLICY) +# +# The bundle is the split-tar folder produced for OneDrive (base/ libero/ tokenizer/ droid_dataset/ +# ft_checkpoint/). Parts are streamed straight into the pod via `kubectl exec ... tar -x`, so files +# are written AS the pod user (correct ownership) and never re-downloaded from the Hub. Idempotent +# at the item level: tar overwrites, so re-running is safe. +# +# Usage: +# ./prestage_to_pod.sh +# Env overrides: +# NAMESPACE (default: jupyterhub) NB_USER (default: student) POD (default: jupyter-$NB_USER) +# CONTAINER (default: notebook) +set -euo pipefail + +BUNDLE="${1:-${BUNDLE_DIR:-}}" +NS="${NAMESPACE:-jupyterhub}" +NB_USER="${NB_USER:-student}" +POD="${POD:-jupyter-$NB_USER}" +CONTAINER="${CONTAINER:-notebook}" + +HUB="/home/jovyan/.cache/huggingface/hub" +REF_PARENT="/home/jovyan/checkpoints/reference" + +if [ -z "$BUNDLE" ] || [ ! -d "$BUNDLE" ]; then + echo "ERROR: bundle dir not found. Usage: $0 " >&2 + exit 2 +fi + +kx() { kubectl exec -i -n "$NS" "$POD" -c "$CONTAINER" -- "$@"; } + +echo "prestaging bundle: $BUNDLE" +echo " -> pod $NS/$POD ($CONTAINER)" +kubectl get pod -n "$NS" "$POD" >/dev/null # fail fast if the pod is not running +kx bash -lc "mkdir -p '$HUB' '$REF_PARENT'" + +extract() { # (concatenated then untarred inside the pod) + local dest="$1"; shift + echo " loading $(basename "$1" | sed 's/\..*//') -> $dest" + cat "$@" | kx tar -C "$dest" -xf - +} + +# HF cache items (models + datasets) -> hub +extract "$HUB" "$BUNDLE"/base/base.tar.part-* +extract "$HUB" "$BUNDLE"/libero/libero.tar.part-* +extract "$HUB" "$BUNDLE"/tokenizer/tokenizer.tar +if ls "$BUNDLE"/droid_dataset/droid_dataset.tar.part-* >/dev/null 2>&1; then + extract "$HUB" "$BUNDLE"/droid_dataset/droid_dataset.tar.part-* +fi +# fine-tuned checkpoint -> checkpoints/reference/pretrained_model +# It ships as a small delta (LoRA adapter + trained action-expert); rebuild the full checkpoint +# inside the pod from the BF16 base we just streamed into the HF cache. +extract "$REF_PARENT" "$BUNDLE"/ft_checkpoint/ft.tar.part-* +echo " rebuilding full fine-tuned checkpoint in pod (BF16 base + delta)" +kx bash -lc '/opt/train-venv/bin/python /ryzers/notebooks/scripts/reconstruct_reference.py \ + --delta /home/jovyan/checkpoints/reference/pretrained_model \ + --out /home/jovyan/checkpoints/reference/pretrained_model \ + --hf-home /home/jovyan/.cache/huggingface' + +# LeRobot (Step-4 fine-tune) resolves datasets under $HF_LEROBOT_HOME/{repo_id}, NOT the HF hub +# cache. Link the hub-cached LIBERO dataset there inside the pod so offline training reuses the same +# blobs rather than re-downloading 33 GB. +kx bash -lc ' + HF_HOME=/home/jovyan/.cache/huggingface + LEROBOT_HOME="${HF_LEROBOT_HOME:-$HF_HOME/lerobot}" + snap="$(ls -d "$HF_HOME"/hub/datasets--allenai--MolmoAct2-LIBERO-Dataset/snapshots/*/ 2>/dev/null | head -1)" + if [ -n "$snap" ]; then + mkdir -p "$LEROBOT_HOME/allenai" + ln -sfn "${snap%/}" "$LEROBOT_HOME/allenai/MolmoAct2-LIBERO-Dataset" + echo " LeRobot dataset link: $LEROBOT_HOME/allenai/MolmoAct2-LIBERO-Dataset" + fi +' + +echo "=== verify (sizes in pod) ===" +kx bash -lc " + du -sh '$HUB'/models--allenai--MolmoAct2-DROID 2>/dev/null + du -sh '$HUB'/datasets--allenai--MolmoAct2-LIBERO-Dataset 2>/dev/null + du -sh '$HUB'/datasets--allenai--MolmoAct2-DROID-Dataset 2>/dev/null + du -sh '$REF_PARENT'/pretrained_model 2>/dev/null + test -f '$REF_PARENT'/pretrained_model/config.json && echo 'reference checkpoint: config.json present' || echo 'WARN: reference config.json missing' +" +echo "prestage complete. The notebooks will now find everything cached (no Hub download)." diff --git a/projects/Finetuning/scripts/reconstruct_reference.py b/projects/Finetuning/scripts/reconstruct_reference.py new file mode 100644 index 00000000..93f32a8f --- /dev/null +++ b/projects/Finetuning/scripts/reconstruct_reference.py @@ -0,0 +1,104 @@ +#!/usr/bin/env python3 +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# Rebuild the full fine-tuned LeRobot checkpoint (model.safetensors) from the two SPLIT pieces the +# workshop bundle ships: +# * the BF16 DROID base (HF hub cache: models--allenai--MolmoAct2-DROID) +# * the small fine-tune "delta" (delta.safetensors + base_fill.json + config/processors) +# +# The delta stores only the tensors that actually changed during fine-tuning (the LoRA adapter and +# the trained action-expert); every frozen tensor was dropped and is restored here from the BF16 +# base (they are bit-identical to the base cast to BF16, which is verified at build time). The +# result is byte-for-tensor identical to the original merged checkpoint, so the existing loaders +# (`lerobot-eval --policy.path=...` and the interactive server) work unchanged. +# +# Staging scripts call this after extracting the bundle; it is idempotent (skips if already built). +import argparse, glob, json, os, shutil, sys + + +def _find_base_snapshot(hub, repo_dirname): + repo = os.path.join(hub, repo_dirname) + snaps = sorted(glob.glob(os.path.join(repo, "snapshots", "*", ""))) + if not snaps: + sys.exit(f"reconstruct: base checkpoint not found under {repo}/snapshots/*/ " + f"(did the base bundle extract into the HF cache?)") + return snaps[-1] + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--delta", required=True, help="dir with delta.safetensors + base_fill.json + config/processors") + ap.add_argument("--out", required=True, help="output pretrained_model dir the loaders read") + ap.add_argument("--hf-home", default=os.environ.get("HF_HOME", os.path.expanduser("~/.cache/huggingface"))) + ap.add_argument("--hub", default=None, help="explicit HF hub dir (holds models--*/); defaults to /hub") + args = ap.parse_args() + + hub = args.hub or os.path.join(args.hf_home, "hub") + + out_model = os.path.join(args.out, "model.safetensors") + if os.path.exists(out_model) and os.path.getsize(out_model) > 1_000_000_000: + print(f"reconstruct: {out_model} already present -> skipping") + return + + import torch + from safetensors import safe_open + from safetensors.torch import save_file + + fill = json.load(open(os.path.join(args.delta, "base_fill.json"))) + base_snap = _find_base_snapshot(hub, fill.get("base_repo", "models--allenai--MolmoAct2-DROID")) + + # index the BF16 base shards: base_key -> shard file + base_key2file = {} + for f in sorted(glob.glob(os.path.join(base_snap, "*.safetensors"))): + with safe_open(f, framework="pt") as h: + for k in h.keys(): + base_key2file[k] = f + + os.makedirs(args.out, exist_ok=True) + print(f"reconstruct: base={base_snap}") + print(f"reconstruct: delta={args.delta} -> out={out_model}") + + state = {} + delta_path = os.path.join(args.delta, "delta.safetensors") + with safe_open(delta_path, framework="pt") as h: + meta = h.metadata() or {"format": "pt"} + for k in h.keys(): + state[k] = h.get_tensor(k) + kept = len(state) + + open_handles = {} + def _get(bk): + f = base_key2file[bk] + if f not in open_handles: + open_handles[f] = safe_open(f, framework="pt") + return open_handles[f].get_tensor(bk) + + for ft_key, base_key in fill["fill"].items(): + if base_key not in base_key2file: + sys.exit(f"reconstruct: base tensor '{base_key}' missing for '{ft_key}'") + state[ft_key] = _get(base_key).to(torch.bfloat16) + + print(f"reconstruct: {kept} delta tensors + {len(fill['fill'])} from base = {len(state)} total") + os.makedirs(args.out, exist_ok=True) + save_file(state, out_model, metadata=meta) + + # copy the small companion files (config, train_config, processors, normalizers) + for f in os.listdir(args.delta): + if f in ("delta.safetensors", "base_fill.json"): + continue + src = os.path.join(args.delta, f) + dst = os.path.join(args.out, f) + if os.path.isfile(src) and os.path.abspath(src) != os.path.abspath(dst): + shutil.copy2(src, dst) + # the delta pieces are no longer needed once model.safetensors exists -> drop them so the + # checkpoint dir matches a normal LeRobot checkpoint (saves ~2.5 GB on the pod) + for f in ("delta.safetensors", "base_fill.json"): + p = os.path.join(args.out, f) + if os.path.exists(p): + os.remove(p) + print(f"reconstruct: wrote {out_model} ({os.path.getsize(out_model)/1e9:.2f} GB) and companion files") + + +if __name__ == "__main__": + main() diff --git a/projects/Finetuning/scripts/stage_assets.sh b/projects/Finetuning/scripts/stage_assets.sh new file mode 100755 index 00000000..fe207650 --- /dev/null +++ b/projects/Finetuning/scripts/stage_assets.sh @@ -0,0 +1,97 @@ +#!/usr/bin/env bash +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# Stage workshop assets from a local resources directory into the Hugging Face cache and the +# fine-tuned-checkpoint location, so the notebooks do NOT re-download anything from the Hub. +# +# The workshop hosts three large items on local storage (e.g. copied from OneDrive): +# - base checkpoint allenai/MolmoAct2-DROID (HF model cache) +# - dataset allenai/MolmoAct2-LIBERO-Dataset (HF dataset cache) +# - fine-tuned policy our LoRA checkpoint (REFERENCE_POLICY) +# plus small helpers (the FAST tokenizer, and optionally the DROID-Dataset used by the Step-3 +# open-loop check). This script copies whatever is present; it is idempotent (skips items that +# already exist) and preserves the HF cache symlink layout. +# +# Expected ASSETS_DIR layout: +# /hf_hub// -> copied into $HF_HOME/hub/ +# /checkpoints/reference/pretrained_model -> copied into $REFERENCE_POLICY +# +# Usage: +# ASSETS_DIR=/path/to/assets ./stage_assets.sh +# ./stage_assets.sh /path/to/assets +# Optional overrides: HF_HOME, REFERENCE_POLICY. +set -euo pipefail + +HERE="$(cd "$(dirname "$0")" && pwd)" +PY="${PY:-/opt/train-venv/bin/python}" +ASSETS_DIR="${1:-${ASSETS_DIR:-}}" +HF_HOME="${HF_HOME:-$HOME/.cache/huggingface}" +REFERENCE_POLICY="${REFERENCE_POLICY:-$HOME/checkpoints/reference/pretrained_model}" + +if [ -z "$ASSETS_DIR" ]; then + echo "ERROR: ASSETS_DIR not set (pass as \$1 or env). Nothing to stage." >&2 + exit 2 +fi +if [ ! -d "$ASSETS_DIR" ]; then + echo "ERROR: ASSETS_DIR not found: $ASSETS_DIR" >&2 + exit 2 +fi + +echo "staging assets from: $ASSETS_DIR" +echo " HF_HOME = $HF_HOME" +echo " REFERENCE_POLICY = $REFERENCE_POLICY" + +_copy() { # src dst + local src="$1" dst="$2" + [ -e "$src" ] || return 0 + if [ -d "$dst" ] && [ -n "$(ls -A "$dst" 2>/dev/null || true)" ]; then + echo " skip (exists) $dst" + return 0 + fi + mkdir -p "$(dirname "$dst")" + if command -v rsync >/dev/null 2>&1; then + rsync -a "$src/" "$dst/" + else + cp -a "$src/." "$dst/" + fi + echo " staged $dst" +} + +# 1) Hugging Face hub cache (models + datasets) -> $HF_HOME/hub +if [ -d "$ASSETS_DIR/hf_hub" ]; then + mkdir -p "$HF_HOME/hub" + for d in "$ASSETS_DIR"/hf_hub/*/; do + [ -d "$d" ] || continue + _copy "${d%/}" "$HF_HOME/hub/$(basename "$d")" + done +else + echo " (no hf_hub/ in ASSETS_DIR - skipping HF cache staging)" +fi + +# 2) Fine-tuned reference checkpoint -> $REFERENCE_POLICY +# It ships as a small "delta" (LoRA adapter + trained action-expert) plus a map of the frozen +# tensors it dropped; rebuild the full checkpoint from the BF16 base staged in step 1. +if [ -d "$ASSETS_DIR/checkpoints/reference/pretrained_model" ]; then + _copy "$ASSETS_DIR/checkpoints/reference/pretrained_model" "$REFERENCE_POLICY" + if [ ! -f "$REFERENCE_POLICY/model.safetensors" ]; then + echo " rebuilding full fine-tuned checkpoint from BF16 base + delta" + "$PY" "$HERE/reconstruct_reference.py" \ + --delta "$REFERENCE_POLICY" --out "$REFERENCE_POLICY" --hf-home "$HF_HOME" + fi +else + echo " (no checkpoints/reference/pretrained_model in ASSETS_DIR - skipping)" +fi + +# 3) LeRobot (Step-4 fine-tune) resolves datasets under $HF_LEROBOT_HOME/{repo_id}, NOT the standard +# HF hub cache. Link the hub-cached LIBERO dataset there so offline training reuses the same blobs +# instead of re-downloading 33 GB. +LEROBOT_HOME="${HF_LEROBOT_HOME:-$HF_HOME/lerobot}" +_snap="$(ls -d "$HF_HOME"/hub/datasets--allenai--MolmoAct2-LIBERO-Dataset/snapshots/*/ 2>/dev/null | head -1)" +if [ -n "$_snap" ]; then + mkdir -p "$LEROBOT_HOME/allenai" + ln -sfn "${_snap%/}" "$LEROBOT_HOME/allenai/MolmoAct2-LIBERO-Dataset" + echo " LeRobot dataset link: $LEROBOT_HOME/allenai/MolmoAct2-LIBERO-Dataset" +fi + +echo "asset staging complete." diff --git a/projects/Finetuning/scripts/unpack_bundle.sh b/projects/Finetuning/scripts/unpack_bundle.sh new file mode 100755 index 00000000..7cfa3549 --- /dev/null +++ b/projects/Finetuning/scripts/unpack_bundle.sh @@ -0,0 +1,35 @@ +#!/usr/bin/env bash +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# Reassemble the split OneDrive asset bundle (base/ libero/ tokenizer/ droid_dataset/ ft_checkpoint/) +# into a single ASSETS_DIR layout that stage_assets.sh (or the notebooks' ASSETS_DIR support) expect: +# +# /hf_hub// (base is the BF16 DROID checkpoint) +# /checkpoints/reference/pretrained_model/ (fine-tune DELTA: adapter + action-expert) +# +# The reference here is only the small fine-tune delta; stage_assets.sh rebuilds the full checkpoint +# from the BF16 base + delta when it stages into the pod. Use this when you want the assets on a host +# directory (e.g. to mount into the pod). To load straight into a running pod, use prestage_to_pod.sh. +# +# Usage: +# ./unpack_bundle.sh [ASSETS_DIR] # default ASSETS_DIR=/assets +set -euo pipefail + +BUNDLE="${1:?usage: unpack_bundle.sh [ASSETS_DIR]}" +ASSETS_DIR="${2:-$BUNDLE/assets}" +[ -d "$BUNDLE" ] || { echo "ERROR: bundle dir not found: $BUNDLE" >&2; exit 2; } + +mkdir -p "$ASSETS_DIR/hf_hub" "$ASSETS_DIR/checkpoints/reference" +echo "unpacking $BUNDLE -> $ASSETS_DIR" + +cat "$BUNDLE"/base/base.tar.part-* | tar -C "$ASSETS_DIR/hf_hub" -xf - +cat "$BUNDLE"/libero/libero.tar.part-* | tar -C "$ASSETS_DIR/hf_hub" -xf - +tar -C "$ASSETS_DIR/hf_hub" -xf "$BUNDLE"/tokenizer/tokenizer.tar +if ls "$BUNDLE"/droid_dataset/droid_dataset.tar.part-* >/dev/null 2>&1; then + cat "$BUNDLE"/droid_dataset/droid_dataset.tar.part-* | tar -C "$ASSETS_DIR/hf_hub" -xf - +fi +cat "$BUNDLE"/ft_checkpoint/ft.tar.part-* | tar -C "$ASSETS_DIR/checkpoints/reference" -xf - + +echo "done -> $ASSETS_DIR" +echo "next: ASSETS_DIR=$ASSETS_DIR /projects/Finetuning/scripts/stage_assets.sh" diff --git a/runtime/values.yaml b/runtime/values.yaml index 55fef618..19cdba9a 100644 --- a/runtime/values.yaml +++ b/runtime/values.yaml @@ -632,6 +632,10 @@ singleuser: storage: dynamic: storageClass: local-path + # Workshop assets are BAKED INTO the finetuning course image (see + # dockerfiles/Courses/Finetuning/Dockerfile: HF cache under /opt/auplc-hf, reference + # checkpoint under /opt/auplc-ref). No shared host mount or spawn-time link step is needed; + # the image is fully self-contained and distributes to every node on its own. # Containers get a 64Mi /dev/shm by default, which is far too small for the # ROS 2 courses - Fast-DDS allocates its shared-memory transport there and # fails with "open_and_lock_file failed", silently degrading to UDP. From a67360ae847e21f35d2d9052fef2d4568539bf6b Mon Sep 17 00:00:00 2001 From: skalade Date: Thu, 13 Aug 2026 01:39:12 -0600 Subject: [PATCH 08/35] harcode assets path, simplify readme --- dockerfiles/Courses/Finetuning/build.sh | 40 ++++-- projects/Finetuning/ORGANIZER.md | 180 ------------------------ projects/Finetuning/README.md | 113 +++++---------- 3 files changed, 63 insertions(+), 270 deletions(-) delete mode 100644 projects/Finetuning/ORGANIZER.md diff --git a/dockerfiles/Courses/Finetuning/build.sh b/dockerfiles/Courses/Finetuning/build.sh index 8945b4a6..5a0efa77 100755 --- a/dockerfiles/Courses/Finetuning/build.sh +++ b/dockerfiles/Courses/Finetuning/build.sh @@ -4,20 +4,38 @@ set -euo pipefail -cp -r ../../../projects/Finetuning ./course_data -trap 'rm -rf course_data' EXIT +# Hardcoded workshop asset bundle location: drop mm2_workshop_assets.zip into projects/Finetuning/ +# (next to the notebooks) and it gets baked into the image. Nothing to configure. +PROJECT_DIR="../../../projects/Finetuning" +ASSETS_ZIP="${PROJECT_DIR}/mm2_workshop_assets.zip" -# Optionally BAKE the workshop assets into the image so it is fully self-contained and can be -# distributed to every node without a shared mount. Set ASSETS_SRC to the RAW split-tar bundle -# (base/ libero/ tokenizer/ droid_dataset/ ft_checkpoint/); the Docker build unpacks it and -# reconstructs the reference checkpoint internally. Passed as a BuildKit named context so the -# assets never enter the git build context. +WORK_ASSETS="" +cleanup() { + rm -rf course_data + [ -n "${WORK_ASSETS:-}" ] && rm -rf "${WORK_ASSETS}" + return 0 +} +trap cleanup EXIT + +# Stage the course notebooks + helper scripts into the build context, EXCLUDING the large asset +# bundle so it is never baked into /ryzers/notebooks. +rm -rf course_data +mkdir -p course_data +cp -r "$PROJECT_DIR"/. course_data/ +rm -rf course_data/mm2_workshop_assets course_data/mm2_workshop_assets.zip + +# Bake the workshop assets if the bundle is present; otherwise build a code-only image (CI/registry). BUILD_EXTRA=() -if [ -n "${ASSETS_SRC:-}" ] && [ -d "${ASSETS_SRC}" ]; then - echo "baking workshop assets into the image from: ${ASSETS_SRC}" - BUILD_EXTRA+=(--build-context "assets=${ASSETS_SRC}" --build-arg "FINAL=with-assets") +if [ -f "${ASSETS_ZIP}" ]; then + echo "unpacking mm2_workshop_assets.zip (one-time; the bundle is large, this can take a while)..." + # Unpack OUTSIDE the docker build context (extracting here would bloat the context sent to the + # daemon). /var/tmp is disk-backed and typically large enough for the ~16 GB bundle. + WORK_ASSETS="$(mktemp -d "${TMPDIR:-/var/tmp}/auplc-ft-assets.XXXXXX")" + unzip -q "${ASSETS_ZIP}" -d "${WORK_ASSETS}" + echo "baking workshop assets into the image from: ${WORK_ASSETS}/mm2_workshop_assets" + BUILD_EXTRA+=(--build-context "assets=${WORK_ASSETS}/mm2_workshop_assets" --build-arg "FINAL=with-assets") else - echo "ASSETS_SRC unset or missing -> building code-only image (assets NOT baked in)" + echo "no mm2_workshop_assets.zip in projects/Finetuning/ -> building code-only image (assets NOT baked in)." fi DOCKER_BUILDKIT=1 docker build ${BASE_IMAGE:+--build-arg BASE_IMAGE="$BASE_IMAGE"} \ diff --git a/projects/Finetuning/ORGANIZER.md b/projects/Finetuning/ORGANIZER.md deleted file mode 100644 index 2b582c3a..00000000 --- a/projects/Finetuning/ORGANIZER.md +++ /dev/null @@ -1,180 +0,0 @@ - - -# Fine-tuning course - organizer & developer guide - -This guide sets up the MolmoAct2 fine-tuning workshop on one AMD **Strix Halo** machine, end to end: -build the course image, deploy the JupyterHub server, put the large files in place, and hand each -attendee a web address. When you are done, an attendee just opens that address, logs in, runs one -command, and clicks **Run All** - with no downloading at the venue. - -> **Just attending?** You do not need this file - follow **[README.md](README.md)** instead. - -Every step below says **where to run it**. Do them in order. You need a Strix Halo box running -**Ubuntu 24.04** where you have `sudo` (admin) rights, and about **150 GB free** disk (the baked -course image is ~50 GB; the pre-staged `assets/` tree and a saved image tar need room too). - ---- - -## Step 1 - Prepare the machine (once per box) - -**Run this on: the Strix Halo box (a terminal, with sudo).** - -Install the prerequisites from the repository's top-level `README.md` "Quick Start": the OEM kernel -for Ryzen AI APUs, Docker set up for non-root use, `build-essential`, and the installer's terminal -UI dependencies. Then confirm Docker works without sudo: - -```bash -docker run --rm hello-world -``` - -If that prints a success message, the machine is ready. - -## Step 2 - Get the course code - -**Run this on: the Strix Halo box.** - -```bash -git clone /aup-learning-cloud.git -cd aup-learning-cloud -git checkout roscon26 -``` - -Everything in the rest of this guide is run from inside this `aup-learning-cloud` folder. - -## Step 3 - Put the workshop files on the machine - -**Run this on: any machine that can reach both your file store and the Strix Halo box.** - -The large inputs ship as one folder called `mm2_workshop_assets` (about **16 GB** with the default -LIBERO subset), split into ~4 GB pieces so it copies easily. It is hosted on your team's shared -drive (for this workshop, OneDrive). Its layout is: - -``` -mm2_workshop_assets/ - base/ the base MolmoAct2-DROID checkpoint, stored in BF16 (~11 GB) - libero/ the LIBERO training dataset (default: ~1 GB task-diverse subset; - set USE_FULL_LIBERO=1 in the notebook to fetch the full ~33 GB set) - tokenizer/ a small tokenizer the model needs - droid_dataset/ a small real-robot dataset used by notebook 1, Step 3 (~1.4 GB) - ft_checkpoint/ the fine-tune "delta": the LoRA adapter + trained parts (~2.4 GB) - reconstruct_reference.py unpack_bundle.sh README.txt -``` - -Copy that whole folder onto the Strix Halo box, for example: - -```bash -scp -r /path/to/mm2_workshop_assets @:/opt/auplc-assets/mm2_workshop_assets -``` - -> **Why is `ft_checkpoint/` so small, and what is the "delta"?** The fine-tuned policy is just the -> frozen base model plus a small set of weights that changed during fine-tuning. Instead of shipping -> the whole base model twice, we ship the base once (in BF16, the precision everyone runs in) and -> only the small delta. The full fine-tuned checkpoint is rebuilt automatically from base + delta in -> Step 4 - you do not do anything extra. - -## Step 4 - Build the self-contained course image - -**Run this on: the Strix Halo box, inside the `aup-learning-cloud` folder.** - -One command builds a FULLY self-contained image: the Docker build itself unpacks the raw workshop -bundle, rebuilds the full fine-tuned checkpoint, and bakes everything - together with the two -notebooks and their helper scripts - into a single container image. Point `ASSETS_SRC` at the raw -bundle from Step 3: - -```bash -make -C dockerfiles finetuning GPU_TARGET=gfx1151 ASSETS_SRC=/path/to/mm2_workshop_assets -``` - -There is no separate pre-stage step - the build's staging stage runs the unpack + checkpoint -reconstruction internally (using the image's own Python), so this works on a fresh machine. Only -the bundle subdirs it needs are read (`base/ libero/ tokenizer/ droid_dataset/ ft_checkpoint/`); an -optional `libero_full_backup/` is ignored. - -The result is a local image `ghcr.io/amdresearch/auplc-finetuning:latest` (and `:latest-gfx1151`) -that carries its own HF cache under `/opt/auplc-hf` and reference checkpoint under `/opt/auplc-ref` - -no shared mount, no per-attendee download. When you only change a notebook or script later, rebuild -in place with the same command (BuildKit reuses the cached asset layers, so it does not re-unpack) - -do not create a second image. - -> `make finetuning-baked` is kept as a back-compat alias and now simply runs `make finetuning`. - -> **Build a code-only image** (no assets, e.g. for CI) with `ASSETS_SRC= make -C dockerfiles -> finetuning GPU_TARGET=gfx1151`. The assets are passed to the build as a BuildKit named context, so -> they are never copied into the git tree. - -## Step 5 - Distribute the image to the other nodes (multi-node only) - -**Run this on: the Strix Halo box.** Skip this on a single machine. - -Because the assets are inside the image, distributing the workshop to a cluster is just distributing -the image - like a `docker pull`. Save it once and load it on each node (or push to a registry every -node can reach): - -```bash -docker save ghcr.io/amdresearch/auplc-finetuning:latest-gfx1151 | gzip > auplc-finetuning.tar.gz -# then on each node: -gunzip -c auplc-finetuning.tar.gz | docker load -``` - -## Step 6 - Deploy the JupyterHub server - -**Run this on: the Strix Halo box, inside the `aup-learning-cloud` folder.** - -```bash -sudo ./auplc-installer install --gpu=strix-halo -``` - -This installs a small single-node Kubernetes (k3s) and the JupyterHub server on top of it, using the -image you just built. Wait until it finishes and reports the pods are ready. When it is done it -prints the **web address of the server** - it looks like `http://:30890/`. -**Write that address down; it is what you give attendees in Step 7.** - -The course "Fine-tuning on GPUs" is already registered, so it shows up on the login page -automatically. Each attendee who logs in gets their own private notebook server with its own GPU -slice and a writable home folder. The assets are already in the image, so attendees just open the -notebooks and click **Run All** - nothing is downloaded or linked at the venue. - -> **Already have another JupyterHub running on this same box?** Two servers cannot share the same -> name. On a fresh box this never happens. If it does (a shared dev box), the simplest fix is to -> deploy on a machine that does not already run one - that keeps this command exactly as written, -> with nothing to configure. - -## Step 7 - Give attendees the address - -Send each attendee: - -- the web address from Step 6 (`http://:30890/`), and -- their username and password. - -They then follow **[README.md](README.md)**. Done. - ---- - -## Developer check: reproduce the whole thing offline before you ship - -**Run this on: a Strix Halo box, after Step 4 (the build) above.** - -To verify a change end to end without any network, run a notebook headless directly against the -baked image - no mount and no staging step, exactly what an attendee gets. The assets are already in -the image at `/opt/auplc-hf` (HF cache) and `/opt/auplc-ref` (reference checkpoint): - -```bash -docker run --rm --network=host --ipc=host --shm-size 16G \ - --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined \ - --group-add video --group-add render \ - --tmpfs /home/jovyan:mode=0777 \ - -e HF_HUB_OFFLINE=1 -e TRANSFORMERS_OFFLINE=1 \ - --entrypoint bash ghcr.io/amdresearch/auplc-finetuning:latest-gfx1151 -lc ' - mkdir -p /home/jovyan/outputs - /opt/train-venv/bin/python -m ipykernel install --user --name tv >/dev/null 2>&1 - jupyter nbconvert --to notebook --execute --ExecutePreprocessor.kernel_name=tv \ - --ExecutePreprocessor.timeout=-1 --output /home/jovyan/outputs/nb1.ipynb \ - finetune_molmoact2_libero.ipynb' -``` - -A healthy run shows the closed-loop LIBERO evaluation reporting success. Model weights and large -videos stay on the machine (never re-hosted). - -> **Testing against an external asset tree instead of the baked cache?** The code-only image plus -> `scripts/fetch_assets.sh` still supports the old mount-and-link workflow; point `ASSETS_SRC` at a -> mounted `assets/` tree and run `fetch_assets.sh` before nbconvert. diff --git a/projects/Finetuning/README.md b/projects/Finetuning/README.md index 5b5cfcc4..41eed28f 100644 --- a/projects/Finetuning/README.md +++ b/projects/Finetuning/README.md @@ -2,107 +2,62 @@ # ROSCon 2026: Fine-tuning a Robot Policy (MolmoAct2 + LIBERO) -In this workshop you take a real-robot vision-language-action model (**MolmoAct2**), teach it a new -skill in a simulator (**LIBERO**) with a short **LoRA** fine-tune, and then drive the fine-tuned -policy **live in the simulator** - typing an instruction and watching a robot arm carry it out. - -Everything runs in your web browser on a single AMD **Strix Halo** machine. There is **nothing to -install** on your laptop and you never need `sudo` or admin rights - just the login your organizer -gives you. - -> Setting up the workshop yourself (building the image, deploying the server, hosting the files)? -> That is a different job - see **[ORGANIZER.md](ORGANIZER.md)**. This page is for attendees. +Fine-tune a real-robot vision-language-action model (**MolmoAct2**) on a new skill in the **LIBERO** +simulator with a short **LoRA** run, then drive the fine-tuned policy live in the simulator. It runs +in the browser on a single AMD **Strix Halo** machine as a JupyterHub course image. --- -## Step 1 - Open the workshop server in your browser +## Build the image -**Do this on: your own laptop, in Chrome or Firefox.** +Two steps: **copy the assets, then run the build.** -Your organizer will give you a web address for the workshop server. It looks like this (the part in -angle brackets is filled in by your organizer): +### 1. Copy the workshop assets zip into this folder +```bash +cp /path/to/mm2_workshop_assets.zip projects/Finetuning/ ``` -http://:30890/ -``` - -Open that address, then log in with the username and password your organizer gave you. - -If the page does not load, the server or the network route is not ready - tell your organizer (there -is nothing to fix on your laptop). - -## Step 2 - Start your personal GPU server - -**Do this on: the web page from Step 1, after you log in.** - -You will see a "Server Options" page. Choose: - -- **ROSCon 2026 → "Fine-tuning on GPUs"** -and click **Start**. After about a minute you land in a file browser showing a folder called -`notebooks` with two `.ipynb` files. This is your own private server with its own AMD GPU. +### 2. Run the build -(Optional) To confirm the GPU is working, open a terminal with **New → Terminal** and run: +From the repo root: ```bash -/ryzers/test_torch.sh # confirms the GPU is visible to PyTorch (ROCm) -/ryzers/test_molmoact2.sh # confirms the MolmoAct2 + LIBERO software imports +make -C dockerfiles finetuning GPU_TARGET=gfx1151 ``` -## Step 3 - Your files are already loaded (nothing to do) +The build unpacks the assets, rebuilds the fine-tuned checkpoint, and bakes everything — plus the two +notebooks and helper scripts — into a self-contained image +`ghcr.io/amdresearch/auplc-finetuning:latest` (also tagged `:latest-gfx1151`). -**There is nothing to run here.** The base model, the training dataset, and a ready-made fine-tuned -policy (about 47 GB together) are already on the machine. The moment your server started, they were -linked into your workspace automatically - instantly, with nothing downloaded and nothing copied. - -This is where they are (you do not need to touch them): +--- -| What | Where it is in your server | -|---|---| -| Base model + datasets | `~/.cache/huggingface` | -| Ready-made fine-tuned policy | `~/checkpoints/reference/pretrained_model` | +## Deploy and hand out to attendees -**Only if a notebook says a file is missing** (rare): open a terminal (**New → Terminal**) and run -this once. It re-links everything, needs no `sudo`, and is safe to run again: +Deploy the JupyterHub server with the image you just built: ```bash -cd /ryzers/notebooks -scripts/fetch_assets.sh +sudo ./auplc-installer install --gpu=strix-halo ``` -## Step 4 - Run the two notebooks - -**Do this on: the file browser on the left of your server.** Double-click a notebook to open it, -then use the menu **Run → Run All Cells**. - -| Notebook | What it does | -|---|---| -| `finetune_molmoact2_libero.ipynb` | Checks the GPU → loads the base model → validates it on real robot data → runs a short **LoRA fine-tune** → evaluates the fine-tuned policy in the LIBERO simulator. | -| `interactive_sim_molmoact2_libero.ipynb` | Drives the fine-tuned policy **live in the simulator, right inside the notebook**. Type an instruction and watch the arm act. Works on its own - it does not need notebook 1. | - -The live simulator appears **inside the notebook** - there is no extra window to open and no extra -web address to visit. - --- -## Which policy runs in the demo? - -By default, both the evaluation in notebook 1 (Step 5) and the live simulator use our **ready-made -fine-tuned policy** at `~/checkpoints/reference/pretrained_model` (already staged for you in -Step 3). The short fine-tune you run in notebook 1 proves the training loop works, but it is far too -short to be good on its own - so the ready-made policy is what gives a strong demo. +## Developer check (optional): run a notebook headless against the built image -You can change what runs by setting any of these in a notebook cell before you run it (or just leave -them alone for the default demo): +Verify a build end-to-end with no network and no mounts, exactly what an attendee gets: -| Setting | Default | Meaning | -|---|---|---| -| `POLICY_PATH` | (unset) | Use a specific checkpoint instead: a folder on the server **or** a Hugging Face repo id. Overrides everything below. | -| `PREFER_TRAINED` | `0` | `1` = evaluate the checkpoint your own notebook run just produced, instead of the ready-made one. | -| `SUITE` | `libero_object` | Which LIBERO task family to use. | -| `TASK_ID` | `3` | Which task within that family. | -| `STEPS` | `10` | How many fine-tune steps notebook 1 runs (raise this for real training). | -| `FT_MODE` | `lora_vlm` | Fine-tune style: `lora_vlm`, `action_expert_only`, or `full`. | +```bash +docker run --rm --network=host --ipc=host --shm-size 16G \ + --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined \ + --group-add video --group-add render \ + --tmpfs /home/jovyan:mode=0777 \ + -e HF_HUB_OFFLINE=1 -e TRANSFORMERS_OFFLINE=1 \ + --entrypoint bash ghcr.io/amdresearch/auplc-finetuning:latest-gfx1151 -lc ' + mkdir -p /home/jovyan/outputs + /opt/train-venv/bin/python -m ipykernel install --user --name tv >/dev/null 2>&1 + jupyter nbconvert --to notebook --execute --ExecutePreprocessor.kernel_name=tv \ + --ExecutePreprocessor.timeout=-1 --output /home/jovyan/outputs/nb1.ipynb \ + finetune_molmoact2_libero.ipynb' +``` -Your training results land under `~/outputs` and `~/checkpoints`. Model weights and large videos -stay on the machine and are not uploaded anywhere. +A healthy run shows the closed-loop LIBERO evaluation reporting success. From 1b2ce76e38e23df660bb2016dac6bc946b135fca Mon Sep 17 00:00:00 2001 From: skalade Date: Thu, 13 Aug 2026 14:52:27 -0600 Subject: [PATCH 09/35] add placeholders for Mehdi --- auplc_installer/catalog.py | 12 ++++++++++++ auplc_installer/overlay.py | 1 + dockerfiles/Courses/RLLearning/Dockerfile | 15 +++++++++++++++ dockerfiles/Courses/RLLearning/build.sh | 11 +++++++++++ dockerfiles/Makefile | 11 ++++++++++- projects/RLLearning/README.md | 19 +++++++++++++++++++ runtime/values.yaml | 19 +++++++++++++++++++ 7 files changed, 87 insertions(+), 1 deletion(-) create mode 100644 dockerfiles/Courses/RLLearning/Dockerfile create mode 100755 dockerfiles/Courses/RLLearning/build.sh create mode 100644 projects/RLLearning/README.md diff --git a/auplc_installer/catalog.py b/auplc_installer/catalog.py index e930471a..1629926f 100644 --- a/auplc_installer/catalog.py +++ b/auplc_installer/catalog.py @@ -65,6 +65,13 @@ class Course: "local-inference", "Local inference of embodied AI", ), + Course( + "Course-RLLearning", + "auplc-rl-learning", + True, + "rl-learning", + "Reinforcement learning for robotics", + ), ) COURSE_KEYS_ALL: tuple[str, ...] = tuple(c.key for c in COURSE_CATALOG) @@ -103,6 +110,7 @@ class Course: "Course-PhySim", "Course-Finetuning", "Course-LocalInference", + "Course-RLLearning", ], "official": [ "cpu", @@ -115,6 +123,7 @@ class Course: "Course-PhySim", "Course-Finetuning", "Course-LocalInference", + "Course-RLLearning", ], "AUP": [ "Course-CV", @@ -123,6 +132,7 @@ class Course: "Course-PhySim", "Course-Finetuning", "Course-LocalInference", + "Course-RLLearning", ], "native-users": [ "code-cpu", @@ -133,6 +143,7 @@ class Course: "Course-PhySim", "Course-Finetuning", "Course-LocalInference", + "Course-RLLearning", "cpu", "gpu", ], @@ -147,6 +158,7 @@ class Course: "Course-PhySim", "Course-Finetuning", "Course-LocalInference", + "Course-RLLearning", ], } diff --git a/auplc_installer/overlay.py b/auplc_installer/overlay.py index 00605dc8..749b73ac 100644 --- a/auplc_installer/overlay.py +++ b/auplc_installer/overlay.py @@ -38,6 +38,7 @@ "Course-PhySim": "auplc-physim", "Course-Finetuning": "auplc-finetuning", "Course-LocalInference": "auplc-localinference", + "Course-RLLearning": "auplc-rl-learning", } diff --git a/dockerfiles/Courses/RLLearning/Dockerfile b/dockerfiles/Courses/RLLearning/Dockerfile new file mode 100644 index 00000000..43b9bd60 --- /dev/null +++ b/dockerfiles/Courses/RLLearning/Dockerfile @@ -0,0 +1,15 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +ARG BASE_IMAGE=ghcr.io/amdresearch/auplc-base:latest +FROM ${BASE_IMAGE} + +USER root +RUN mkdir -p /ryzers/notebooks + +# The build script stages projects/RLLearning as course_data. +COPY ./course_data /ryzers/notebooks +RUN chown -R jovyan:100 /ryzers + +USER jovyan +WORKDIR /ryzers/notebooks diff --git a/dockerfiles/Courses/RLLearning/build.sh b/dockerfiles/Courses/RLLearning/build.sh new file mode 100755 index 00000000..c912c598 --- /dev/null +++ b/dockerfiles/Courses/RLLearning/build.sh @@ -0,0 +1,11 @@ +#!/usr/bin/env bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -euo pipefail + +cp -r ../../../projects/RLLearning ./course_data +trap 'rm -rf course_data' EXIT + +docker build ${BASE_IMAGE:+--build-arg BASE_IMAGE="$BASE_IMAGE"} \ + -t ghcr.io/amdresearch/auplc-rl-learning:latest . diff --git a/dockerfiles/Makefile b/dockerfiles/Makefile index 98982b01..80ce1ea8 100644 --- a/dockerfiles/Makefile +++ b/dockerfiles/Makefile @@ -128,7 +128,7 @@ code-gpu: $(MAKE) save-image IMAGE=ghcr.io/amdresearch/auplc-code-gpu:latest # --- Course Images --- -courses: cv dl llm physim finetuning local-inference +courses: cv dl llm physim finetuning local-inference rl-learning cv: @echo "-------------------------------------------"; \ @@ -194,6 +194,15 @@ local-inference: docker tag ghcr.io/amdresearch/auplc-localinference:latest ghcr.io/amdresearch/auplc-localinference:latest-$(GPU_TARGET) $(MAKE) save-image IMAGE=ghcr.io/amdresearch/auplc-localinference:latest +rl-learning: + @echo "-------------------------------------------"; \ + echo "Building ROSCon RL Learning Course Image..."; \ + echo "-------------------------------------------"; + + cd Courses/RLLearning && BASE_IMAGE=$(GPU_BASE_IMAGE) bash ./build.sh + docker tag ghcr.io/amdresearch/auplc-rl-learning:latest ghcr.io/amdresearch/auplc-rl-learning:latest-$(GPU_TARGET) + $(MAKE) save-image IMAGE=ghcr.io/amdresearch/auplc-rl-learning:latest + # --- Export Images --- save-image: @if [ -n "$(SAVE_IMAGES)" ] && [ -n "$(K3S_IMAGES_DIR)" ]; then \ diff --git a/projects/RLLearning/README.md b/projects/RLLearning/README.md new file mode 100644 index 00000000..f03ce959 --- /dev/null +++ b/projects/RLLearning/README.md @@ -0,0 +1,19 @@ + + +# ROSCon 2026: RL Learning + +This is the placeholder workspace for the reinforcement-learning course. + +## Contents + +Put jupyter notebooks, helper scripts, etc. into this directory. + +Edit `dockerfiles/Courses/RLLearning/Dockerfile` for environment setup. + +## Build the placeholder image + +From the repository root: + +```bash +make -C dockerfiles rl-learning GPU_TARGET=gfx1151 +``` diff --git a/runtime/values.yaml b/runtime/values.yaml index c2ebcb47..4b657f09 100644 --- a/runtime/values.yaml +++ b/runtime/values.yaml @@ -288,6 +288,7 @@ custom: Course-PhySim: "ghcr.io/amdresearch/auplc-physim:latest" Course-Finetuning: "ghcr.io/amdresearch/auplc-finetuning:latest" Course-LocalInference: "ghcr.io/amdresearch/auplc-localinference:latest" + Course-RLLearning: "ghcr.io/amdresearch/auplc-rl-learning:latest" # Custom-URL: "ghcr.io/amdresearch/auplc-cv:latest" # Optional spawn/Home group display order. Groups not listed here are shown @@ -341,6 +342,10 @@ custom: cpu: "0" memory: "0Gi" amd.com/gpu: "1" + Course-RLLearning: + cpu: "0" + memory: "0Gi" + amd.com/gpu: "1" none: cpu: "0" memory: "0Gi" @@ -531,6 +536,15 @@ custom: - strix-halo defaultPath: "/ryzers/notebooks" resourceType: "notebook" + Course-RLLearning: + group: "ROSCON 2026" + description: "Reinforcement learning for robotics" + subDescription: "Course materials under development" + accelerator: "GPU" + acceleratorKeys: + - strix-halo + defaultPath: "/ryzers/notebooks" + resourceType: "notebook" # ============================================================================ # Team Permission Configuration @@ -549,6 +563,7 @@ custom: - Course-PhySim - Course-Finetuning - Course-LocalInference + - Course-RLLearning official: - cpu - gpu @@ -560,6 +575,7 @@ custom: - Course-PhySim - Course-Finetuning - Course-LocalInference + - Course-RLLearning AUP: - Course-CV - Course-DL @@ -567,6 +583,7 @@ custom: - Course-PhySim - Course-Finetuning - Course-LocalInference + - Course-RLLearning native-users: - code-cpu - code-gpu @@ -576,6 +593,7 @@ custom: - Course-PhySim - Course-Finetuning - Course-LocalInference + - Course-RLLearning - cpu - gpu github-users: @@ -589,6 +607,7 @@ custom: - Course-PhySim - Course-Finetuning - Course-LocalInference + - Course-RLLearning # ============================================================================ # Quota Management From 2ef797ce0c50efaf8412aa233d4a1b9d5f444efc Mon Sep 17 00:00:00 2001 From: Mir Sayeed Mohammad <58524430+ClockWorkKid@users.noreply.github.com> Date: Sat, 15 Aug 2026 14:29:08 -0600 Subject: [PATCH 10/35] Fastwam inference notebook (#4) Fastwam notebook inference and demonstration added on top of existing molmoact2 fine-tuning and inference notebooks. Same build style, same source folder, builds automatically. --- dockerfiles/Courses/Finetuning/Dockerfile | 113 ++++- .../Courses/Finetuning/fastwam/README.md | 123 +++++ .../fastwam/adapters/fastwam_libero_policy.py | 115 +++++ .../fastwam/docs/UPSTREAM_PIN.commit.txt | 2 + .../fastwam/patches/fastwam_kv_cache.patch | 213 +++++++++ .../Finetuning/fastwam/sim_libero/__init__.py | 15 + .../fastwam/sim_libero/_torch_compat.py | 29 ++ .../Finetuning/fastwam/sim_libero/envutil.py | 23 + .../fastwam/sim_libero/interactive_server.py | 323 +++++++++++++ .../sim_libero/interactive_server_rt.py | 428 ++++++++++++++++++ .../fastwam/sim_libero/libero_env.py | 107 +++++ .../Finetuning/fastwam/sim_libero/policy.py | 53 +++ .../fastwam/sim_libero/random_policy.py | 31 ++ .../Finetuning/fastwam/sim_libero/render.py | 89 ++++ .../Finetuning/fastwam/sim_libero/rollout.py | 55 +++ .../Finetuning/fastwam/sim_libero/sanity.py | 58 +++ .../Finetuning/fastwam/sim_libero/scene.py | 104 +++++ .../Finetuning/fastwam/sim_libero_compat.pth | 1 + .../Finetuning/fastwam/strip_cuda_torch.py | 35 ++ .../Finetuning/inference_fastwam_libero.ipynb | 294 ++++++++++++ projects/Finetuning/scripts/fastwam_smoke.py | 122 +++++ .../Finetuning/scripts/fastwam_videogen.py | 301 ++++++++++++ .../scripts/interactive_server_fastwam.py | 389 ++++++++++++++++ .../Finetuning/scripts/make_fastwam_bundle.sh | 69 +++ projects/Finetuning/tests/test_fastwam.sh | 64 +++ 25 files changed, 3153 insertions(+), 3 deletions(-) create mode 100644 dockerfiles/Courses/Finetuning/fastwam/README.md create mode 100644 dockerfiles/Courses/Finetuning/fastwam/adapters/fastwam_libero_policy.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/docs/UPSTREAM_PIN.commit.txt create mode 100644 dockerfiles/Courses/Finetuning/fastwam/patches/fastwam_kv_cache.patch create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/__init__.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/_torch_compat.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/envutil.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/interactive_server.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/interactive_server_rt.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/libero_env.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/policy.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/random_policy.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/render.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/rollout.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/sanity.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero/scene.py create mode 100644 dockerfiles/Courses/Finetuning/fastwam/sim_libero_compat.pth create mode 100644 dockerfiles/Courses/Finetuning/fastwam/strip_cuda_torch.py create mode 100644 projects/Finetuning/inference_fastwam_libero.ipynb create mode 100644 projects/Finetuning/scripts/fastwam_smoke.py create mode 100644 projects/Finetuning/scripts/fastwam_videogen.py create mode 100644 projects/Finetuning/scripts/interactive_server_fastwam.py create mode 100755 projects/Finetuning/scripts/make_fastwam_bundle.sh create mode 100755 projects/Finetuning/tests/test_fastwam.sh diff --git a/dockerfiles/Courses/Finetuning/Dockerfile b/dockerfiles/Courses/Finetuning/Dockerfile index d6ad50c4..4acb467a 100644 --- a/dockerfiles/Courses/Finetuning/Dockerfile +++ b/dockerfiles/Courses/Finetuning/Dockerfile @@ -86,6 +86,79 @@ RUN mkdir -p /opt/libero-config \ "from libero.libero import get_libero_path; from libero.libero.utils.download_utils import download_assets_from_huggingface as download; download(get_libero_path('assets'))" \ && rm -f /tmp/robosuite.log +# ============================================================================================ +# FastWAM (Wan2.2-TI2V-5B world-action model) inference layer -- powers notebook 3. +# Installed into an ISOLATED /opt/fastwam-venv so the pinned MolmoAct2 train-venv above is never +# disturbed. The FastWAM LIBERO path reuses the upstream `sim_libero` harness (vendored from +# ClockWorkKid/Ryzers@benchmark), which needs the numpy-1.26.4 LIBERO sim stack -- deliberately +# separate from the train-venv's numpy 2.x. FastWAM itself is cloned from its open-source upstream +# at build; only the CUDA torch pins are stripped so it runs on auplc-base's ROCm torch. Weights +# are NOT fetched here (baked from the local asset store in the with-assets stage / mounted at +# runtime). Placed before the notebook COPY so this heavy layer stays cached across notebook edits. +# The fastwam venv is created from the BASE interpreter (/usr/bin/python3, the auplc-base ROCm +# torch), NOT from train-venv, to keep a single, clean site-packages chain. +# ============================================================================================ +ARG FASTWAM_COMMIT=45d8e1458921d83f8ad6cf9ce993d371208dabd0 + +RUN apt-get update && apt-get install -y --no-install-recommends \ + fonts-dejavu-core \ + libglu1-mesa \ + && rm -rf /var/lib/apt/lists/* + +RUN git clone https://github.com/yuantianyuan01/FastWAM /repos/fastwam \ + && git -C /repos/fastwam checkout "${FASTWAM_COMMIT}" \ + && git clone --depth 1 https://github.com/Lifelong-Robot-Learning/LIBERO /opt/LIBERO + +# Vendored AMD ryzers glue (sim_libero harness + FastWAM LIBERO policy adapter + kv-cache patch +# + strip helper + upstream-pin provenance). Source only; no binaries. +COPY fastwam/ /opt/fastwam-src/ + +# Exact planning-path caches (bit-identical output, ~1.45x faster on gfx1151): memoize the +# UMT5-XXL text encode across a replan episode and cache the action cross-attention K/V. Shipped +# as a reviewable diff vs the pinned upstream; default-on at runtime (FASTWAM_TEXT_KV_CACHE=0 +# restores upstream behavior for parity checks). +RUN git -C /repos/fastwam apply --verbose /opt/fastwam-src/patches/fastwam_kv_cache.patch + +# Isolated venv: reuse auplc-base's ROCm torch (constraint-pinned so it is never replaced) while +# installing the LIBERO sim stack (numpy 1.26.4) + FastWAM. Mirrors the simulation/libero + +# wam/fastwam ryzer recipe so the direct port stays faithful. numpy 1.26.4 is installed first, +# then the constraint is frozen from it so no transitive dep downgrades numpy or swaps the torch. +RUN /usr/bin/python3 -m venv --system-site-packages /opt/fastwam-venv \ + && /opt/fastwam-venv/bin/pip install --no-cache-dir "numpy==1.26.4" \ + && /opt/fastwam-venv/bin/python /opt/fastwam-src/strip_cuda_torch.py /repos/fastwam/pyproject.toml \ + && /opt/fastwam-venv/bin/pip freeze | grep -iE "^(torch|torchvision|torchcodec|numpy)==" > /opt/fastwam-constraints.txt \ + && PIP_CONSTRAINT=/opt/fastwam-constraints.txt /opt/fastwam-venv/bin/pip install --no-cache-dir \ + "robosuite==1.4.0" "bddl==1.0.1" "mujoco==3.3.2" easydict thop \ + "future==1.0.0" "cloudpickle==3.1.2" "gym==0.25.2" termcolor \ + "imageio>=2.34" "imageio-ffmpeg>=0.5" "pillow>=10" \ + && PIP_CONSTRAINT=/opt/fastwam-constraints.txt /opt/fastwam-venv/bin/pip install --no-cache-dir --no-deps -e /opt/LIBERO \ + && PIP_CONSTRAINT=/opt/fastwam-constraints.txt /opt/fastwam-venv/bin/pip install --no-cache-dir -e /repos/fastwam \ + && PIP_CONSTRAINT=/opt/fastwam-constraints.txt /opt/fastwam-venv/bin/pip install --no-cache-dir \ + "hf-transfer>=0.1.8" "sentencepiece>=0.2" "pyarrow>=17" "av>=12" "matplotlib>=3.8" \ + && /opt/fastwam-venv/bin/pip install --no-cache-dir --ignore-installed --no-deps opencv-python-headless + +# Place the sim harness + adapter where the demos expect them; register the import paths + the +# torch.load compat shim in the fastwam venv only (self-contained .pth adds /opt/sim itself; the +# fastwam_paths.pth adds the upstream repo + adapters so experiments.libero + the policy resolve). +RUN mkdir -p /opt/sim /opt/fastwam-adapters \ + && cp -r /opt/fastwam-src/sim_libero /opt/sim/sim_libero \ + && cp /opt/fastwam-src/adapters/fastwam_libero_policy.py /opt/fastwam-adapters/ \ + && SP="$(/opt/fastwam-venv/bin/python -c 'import sysconfig;print(sysconfig.get_paths()["purelib"])')" \ + && cp /opt/fastwam-src/sim_libero_compat.pth "$SP/" \ + && printf '/opt/LIBERO\n/repos/fastwam\n/repos/fastwam/experiments/libero\n/opt/fastwam-adapters\n' > "$SP/fastwam_paths.pth" + +# Seed the upstream LIBERO config for the fastwam venv OUTSIDE HOME, on its OWN config path so it +# never clashes with the MolmoAct2 train-venv's LIBERO (which lives in a different site-packages). +# bddl + robosuite meshes ship in the repo (no dataset download for eval/interactive). Verify the +# whole fastwam stack imports on auplc-base's ROCm torch (no GPU needed at build). +RUN mkdir -p /opt/libero-config-fastwam \ + && printf 'N\n' | LIBERO_CONFIG_PATH=/opt/libero-config-fastwam \ + /opt/fastwam-venv/bin/python -c \ + "import mujoco, robosuite; from libero.libero import benchmark; from libero.libero.envs import OffScreenRenderEnv; import sim_libero; from sim_libero.policy import load_policy; print('sim_libero + LIBERO import OK, mujoco', mujoco.__version__)" \ + && LIBERO_CONFIG_PATH=/opt/libero-config-fastwam /opt/fastwam-venv/bin/python -c \ + "import torch; assert torch.version.hip, 'torch is not a ROCm build: '+torch.__version__; import fastwam; from fastwam.runtime import create_fastwam; print('FastWAM import OK on torch', torch.__version__, 'hip', torch.version.hip)" \ + && rm -f /tmp/robosuite.log + RUN mkdir -p \ /home/jovyan/.cache/huggingface \ /home/jovyan/checkpoints \ @@ -103,7 +176,8 @@ COPY ./course_data /ryzers/notebooks # /ryzers/test_*.sh paths the README documents (same convention as the other courses). RUN chmod +x /ryzers/notebooks/tests/*.sh /ryzers/notebooks/scripts/*.sh \ && ln -sf /ryzers/notebooks/tests/test_torch.sh /ryzers/test_torch.sh \ - && ln -sf /ryzers/notebooks/tests/test_molmoact2.sh /ryzers/test_molmoact2.sh + && ln -sf /ryzers/notebooks/tests/test_molmoact2.sh /ryzers/test_molmoact2.sh \ + && ln -sf /ryzers/notebooks/tests/test_fastwam.sh /ryzers/test_fastwam.sh RUN chown -R jovyan:100 \ /home/jovyan/.cache \ /home/jovyan/checkpoints \ @@ -124,6 +198,19 @@ ENV HOME=/home/jovyan \ MUJOCO_GL=egl \ PYOPENGL_PLATFORM=egl +# FastWAM (notebook 3) runtime knobs. The weight/data paths resolve to the baked assets in the +# with-assets image; in a code-only image they can be overridden or mounted at runtime. The fastwam +# venv uses its OWN LIBERO config path (never the train-venv's), and the exact planning-path caches +# are on by default. DIFFSYNTH_MODEL_BASE_PATH is where the upstream loader looks for the Wan2.2 +# base (T5 + VAE + tokenizer) instead of downloading it. +ENV FASTWAM_REPO=/repos/fastwam \ + FASTWAM_VENV=/opt/fastwam-venv \ + LIBERO_CONFIG_PATH_FASTWAM=/opt/libero-config-fastwam \ + DIFFSYNTH_MODEL_BASE_PATH=/opt/fastwam-assets/diffsynth \ + FASTWAM_RELEASE_DIR=/opt/fastwam-assets/fastwam_release \ + FASTWAM_DATA_DIR=/opt/fastwam-assets/data \ + FASTWAM_TEXT_KV_CACHE=1 + USER jovyan WORKDIR /ryzers/notebooks @@ -160,11 +247,31 @@ RUN set -euo pipefail; \ test -f /opt/auplc-ref/pretrained_model/model.safetensors; \ rm -rf /staging +# FastWAM weight pre-stage: unpack the split-tar FastWAM bundle (bf16 release checkpoint + +# dataset stats, the bf16 Wan2.2 base = T5 / VAE / tokenizer, and the small LIBERO episode set +# used by the video-imagination cell) into /opt/fastwam-assets. Kept OUTSIDE /home/jovyan so it +# survives the runtime PVC mount, exactly like the MolmoAct2 caches above. The weights are already +# bf16 (production precision); the bundle is passed via the same BuildKit `assets` context and is +# never committed to git. +FROM base AS fastwam-staging +USER root +COPY --from=assets fastwam/ /staging/fastwam/ +RUN set -euo pipefail; \ + mkdir -p /opt/fastwam-assets; \ + cat /staging/fastwam/fastwam.tar.part-* | tar -C /opt/fastwam-assets -xf -; \ + test -f /opt/fastwam-assets/fastwam_release/libero_uncond_2cam224.pt; \ + test -f /opt/fastwam-assets/fastwam_release/libero_uncond_2cam224_dataset_stats.json; \ + test -d /opt/fastwam-assets/diffsynth; \ + rm -rf /staging + FROM base AS with-assets USER root -COPY --from=assets-staging /opt/auplc-hf /opt/auplc-hf -COPY --from=assets-staging /opt/auplc-ref /opt/auplc-ref +COPY --from=assets-staging /opt/auplc-hf /opt/auplc-hf +COPY --from=assets-staging /opt/auplc-ref /opt/auplc-ref RUN chown -R jovyan:100 /opt/auplc-hf /opt/auplc-ref +# FastWAM weights are large (~25 GB) and read-only at runtime, so bake them root-owned (world +# readable) WITHOUT a chown -R -- a recursive chown would double the layer size in the overlay. +COPY --from=fastwam-staging /opt/fastwam-assets /opt/fastwam-assets ENV HF_HOME=/opt/auplc-hf \ HF_LEROBOT_HOME=/opt/auplc-hf/lerobot \ REFERENCE_POLICY=/opt/auplc-ref/pretrained_model diff --git a/dockerfiles/Courses/Finetuning/fastwam/README.md b/dockerfiles/Courses/Finetuning/fastwam/README.md new file mode 100644 index 00000000..35714d77 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/README.md @@ -0,0 +1,123 @@ +### FastWAM + +This package runs [FastWAM](https://github.com/yuantianyuan01/FastWAM) — a Wan2.2-TI2V-5B +world-action model (T5 text encoder + Wan VAE + video/action DiT) — on AMD Ryzen AI Max+ +395 (Strix Halo, `gfx1151`) under ROCm 7.2.2. Direct PyTorch port: upstream code runs on +the base image's ROCm torch; only the CUDA torch pins are stripped. + +It is a **slim policy/model layer that ships no simulator**, and the reference consumer of +the simulator packages' `Policy` seam. It composes on: + +- the plain ROCm base → non-sim demos (smoke / latency / open-loop / videogen); +- the `simulation/libero` base → closed-loop + interactive LIBERO; +- the `simulation/robotwin` base → closed-loop + interactive RoboTwin 2.0. + +The same policy layer composes on all three because the FastWAM install is pinned to the +base image's torch + numpy (so a plain base's numpy 2.x and a sim base's numpy 1.26.4 both +work). Weights/datasets are fetched by the scripts below; sim assets come from the sim base. + +### Build + +```sh +# Standalone (non-sim demos + model sign-of-life): +ryzers build fastwam --name fastwam +ryzers run --name fastwam # test.py: ROCm torch + GPU + deps sign-of-life + +# Chain on a simulator base for closed-loop / interactive rollouts: +ryzers build libero fastwam --name fastwam-libero +ryzers build robotwin fastwam --name fastwam-robotwin +``` + +Artifacts are written to `workspace/*/outputs`. For faster/gated HF downloads set +`HF_TOKEN`. The ~12 GB Wan2.2 base is fetched automatically on the first model run. + +```sh +ryzers run --name fastwam /ryzers/scripts/download_checkpoints.sh # LIBERO + RoboTwin ckpts +ryzers run --name fastwam /ryzers/scripts/download_datasets.sh # open-loop / video data +``` + +The chain drives a sim base's model-agnostic `Policy` seam via a runtime adapter +(`adapters/fastwam_{libero,robotwin}_policy.py`, selected by `POLICY_FACTORY`); these +adapters double as the worked reference for wiring any VLA/WAM into the sim bases (see each +`simulation/*` README). The RoboTwin closed-loop instead runs RoboTwin's own +`script/eval_policy.py` against `experiments/robotwin/fastwam_policy` +(`EVALUATION.robotwin_root=/opt/RoboTwin`). + +### Demos + +| Demo | Base | What it does | +|---|---|---| +| `demos/demo_smoke.sh` | plain | Load checkpoint, one `infer_action`; cold/steady latency + VRAM. | +| `demos/demo_latency.sh` | plain | Per-part latency (T5 / VAE / world prefill / plan) + SDPA backends. | +| `demos/demo_openloop.sh` | plain | Replay GT observations, overlay predicted vs GT action chunks + MAE. | +| `demos/demo_videogen.sh` | plain | Imagine future frames from the first observation; GT-vs-imagined clips. | +| `demos/demo_closedloop_libero.sh` | `libero` | Closed-loop LIBERO rollouts (MuJoCo/EGL) + success rate. | +| `demos/demo_interactive_libero.sh` / `_rt.sh` | `libero` | Interactive LIBERO over HTTP/MJPEG. | +| `demos/demo_closedloop_robotwin.sh` | `robotwin` | Closed-loop RoboTwin 2.0 rollouts (SAPIEN Vulkan RT) + success rate. | +| `demos/demo_interactive_robotwin.sh` / `_rt.sh` | `robotwin` | Interactive RoboTwin over HTTP/MJPEG. | + +```sh +ryzers run --name fastwam /ryzers/demos/demo_smoke.sh +ryzers run --name fastwam-libero /ryzers/demos/demo_closedloop_libero.sh +TASKS="click_bell lift_pot" NUM_EPISODES=10 \ + ryzers run --name fastwam-robotwin /ryzers/demos/demo_closedloop_robotwin.sh +ryzers run --name fastwam-robotwin /ryzers/demos/demo_interactive_robotwin.sh # http://localhost:8082 +``` + +### Open-loop replay + +Predicted action chunks track ground truth over 100 episodes: mean normalized MAE +**0.0222** (LIBERO) / **0.0208** (RoboTwin), action inference ~1.5 s. + +

    + open-loop per-dim MAE, LIBERO +
    Per-dimension normalized MAE (LIBERO). +

    +

    + open-loop GT-vs-pred overlay, LIBERO episode 0 +
    GT (solid) vs predicted (dashed) action chunks, LIBERO episode 0. +

    + +### Video imagination + +Joint path imagines the future video + actions (GT left, imagined right). Steady-state +joint latency ~18.6 s (LIBERO) / ~21.9 s (RoboTwin) for a 33-frame clip at 20 denoise +steps (the first call pays a one-time ROCm warmup). + +

    + GT vs imagined, LIBERO +
    Ground truth vs imagined future (LIBERO). +

    +

    + GT vs imagined, RoboTwin +
    Ground truth vs imagined future (RoboTwin). +

    + +### Closed-loop LIBERO + +`libero_object` suite, 10 tasks × 20 trials: **199/200 (99.5%)** success, rendered headless +via EGL. With `VISUALIZE_FUTURE=true` the slow path also renders the model's imagined future +alongside the real rollout (GT left, imagined right; PSNR ~27.3 dB). + +

    + closed-loop LIBERO rollout + closed-loop slow path, GT vs imagined +
    Closed-loop rollout (left) and slow-path GT-vs-imagined (right). +

    + +### Useful knobs + +- Non-sim: `DATASET=libero|robotwin` (open-loop/videogen/latency), `NUM_STEPS`, `SEED`. +- Closed-loop LIBERO: `SUITE`, `NUM_TASKS`, `NUM_TRIALS`, `VISUALIZE_FUTURE`. +- Closed-loop RoboTwin: `TASKS`, `TASK_CONFIG`, `NUM_EPISODES`. +- Interactive: `PORT`, `CKPT`, `DATASET_STATS`, `REPLAN_STEPS`, `NUM_INFERENCE_STEPS`. +- `HF_TOKEN` for faster/gated downloads. + +### References + +- Upstream: https://github.com/yuantianyuan01/FastWAM (pinned in `docs/UPSTREAM_PIN.commit.txt`) +- Model: https://huggingface.co/yuanty/fastwam +- Datasets: https://huggingface.co/datasets/yuanty/LIBERO-fastwam · https://huggingface.co/datasets/yuanty/robotwin2.0-fastwam + +Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +SPDX-License-Identifier: MIT diff --git a/dockerfiles/Courses/Finetuning/fastwam/adapters/fastwam_libero_policy.py b/dockerfiles/Courses/Finetuning/fastwam/adapters/fastwam_libero_policy.py new file mode 100644 index 00000000..92bea6d6 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/adapters/fastwam_libero_policy.py @@ -0,0 +1,115 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""FastWAM LIBERO policy adapter for the simulation/libero harness. + +Implements the model-agnostic `sim_libero.Policy` seam by wrapping the FastWAM world-action +model. Reuses the *validated* eval machinery from experiments/libero/eval_libero_single.py +verbatim (config compose, model instantiate + checkpoint load, processor/normalizer, and +`_predict_action_chunk`) so interactive/closed-loop rollouts match the shipped numbers. + +Selected at runtime by the sim harness via + POLICY_FACTORY=fastwam_libero_policy:build_policy + +Env: CKPT, DATASET_STATS, MIXED_PRECISION (bf16), SUITE, NUM_INFERENCE_STEPS, +REPLAN_STEPS, NUM_STEPS_WAIT, FASTWAM_REPO (/repos/fastwam). +Requires /repos/fastwam and its experiments/libero dir on PYTHONPATH (the demo sets this). +""" +import os + +import numpy as np +from hydra import compose, initialize_config_dir +from hydra.core.global_hydra import GlobalHydra +from hydra.utils import instantiate + +import experiments.libero.eval_libero_single as E +from fastwam.datasets.lerobot.utils.normalizer import load_dataset_stats_from_json +from sim_libero.policy import Policy + +FASTWAM_REPO = os.environ.get("FASTWAM_REPO", "/repos/fastwam") +CONFIG_DIR = os.path.join(FASTWAM_REPO, "configs") +DEFAULT_CKPT = "/models/fastwam_release/libero_uncond_2cam224.pt" +DEFAULT_STATS = "/models/fastwam_release/libero_uncond_2cam224_dataset_stats.json" + + +class FastwamLiberoPolicy(Policy): + name = "fastwam" + + def __init__(self, model, processor, cfg, action_horizon, input_w, input_h, device): + self.model = model + self.processor = processor + self.cfg = cfg + self.action_horizon = action_horizon + self.input_w = input_w + self.input_h = input_h + self.device = device + self.replan_steps = int(cfg.EVALUATION.get("replan_steps", 5)) + self.num_steps_wait = int(cfg.EVALUATION.get("num_steps_wait", 5)) + + def predict_action_chunk(self, obs, instruction): + action, _imgs, _pred = E._predict_action_chunk( + obs=obs, + task_description=instruction, + model=self.model, + processor=self.processor, + cfg=self.cfg, + action_horizon=self.action_horizon, + input_w=self.input_w, + input_h=self.input_h, + model_device=self.device, + ) + return np.asarray(action, dtype=np.float32) + + +def build_policy(): + # ryzers passes optional knobs as empty strings; treat "" as unset. + ckpt = os.environ.get("CKPT") or DEFAULT_CKPT + stats = os.environ.get("DATASET_STATS") or DEFAULT_STATS + mixed = os.environ.get("MIXED_PRECISION") or "bf16" + suite = os.environ.get("SUITE") or "libero_object" + + overrides = [ + f"ckpt={ckpt}", + "gpu_id=0", + f"mixed_precision={mixed}", + f"EVALUATION.task_suite_name={suite}", + "EVALUATION.task_id=0", + "EVALUATION.num_trials=1", + f"EVALUATION.dataset_stats_path={stats}", + "EVALUATION.output_dir=/tmp/fastwam_interactive", + ] + if os.environ.get("NUM_INFERENCE_STEPS"): + overrides.append(f"EVALUATION.num_inference_steps={os.environ['NUM_INFERENCE_STEPS']}") + if os.environ.get("REPLAN_STEPS"): + overrides.append(f"EVALUATION.replan_steps={os.environ['REPLAN_STEPS']}") + if os.environ.get("NUM_STEPS_WAIT"): + overrides.append(f"EVALUATION.num_steps_wait={os.environ['NUM_STEPS_WAIT']}") + + if GlobalHydra.instance().is_initialized(): + GlobalHydra.instance().clear() + with initialize_config_dir(config_dir=CONFIG_DIR, version_base="1.3"): + cfg = compose(config_name="sim_libero", overrides=overrides) + + device = E._resolve_eval_device(cfg) + dtype = E._mixed_precision_to_model_dtype(mixed) + model = instantiate(cfg.model, model_dtype=dtype, device=device) + E._load_model_checkpoint(model, str(cfg.ckpt)) + model = model.to(device).eval() + + stats_path = E._resolve_dataset_stats_path(cfg) + dataset_stats = load_dataset_stats_from_json(str(stats_path)) + processor = instantiate(cfg.data.train.processor).eval() + processor.set_normalizer_from_stats(dataset_stats) + + action_horizon_cfg = cfg.EVALUATION.get("action_horizon", None) + if action_horizon_cfg is None: + action_horizon = int(cfg.data.train.num_frames) - 1 + else: + action_horizon = int(action_horizon_cfg) + + video_size = cfg.data.train.get("video_size", [224, 224]) + input_h = int(video_size[0]) + input_w = int(video_size[1]) + + print(f"[fastwam_libero_policy] model ready (ckpt={ckpt}, horizon={action_horizon}, " + f"input={input_w}x{input_h}, replan={cfg.EVALUATION.get('replan_steps', 5)})", flush=True) + return FastwamLiberoPolicy(model, processor, cfg, action_horizon, input_w, input_h, device) diff --git a/dockerfiles/Courses/Finetuning/fastwam/docs/UPSTREAM_PIN.commit.txt b/dockerfiles/Courses/Finetuning/fastwam/docs/UPSTREAM_PIN.commit.txt new file mode 100644 index 00000000..c697edd4 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/docs/UPSTREAM_PIN.commit.txt @@ -0,0 +1,2 @@ +yuantianyuan01/FastWAM +45d8e1458921d83f8ad6cf9ce993d371208dabd0 diff --git a/dockerfiles/Courses/Finetuning/fastwam/patches/fastwam_kv_cache.patch b/dockerfiles/Courses/Finetuning/fastwam/patches/fastwam_kv_cache.patch new file mode 100644 index 00000000..b0137905 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/patches/fastwam_kv_cache.patch @@ -0,0 +1,213 @@ +diff --git a/src/fastwam/models/wan22/action_dit.py b/src/fastwam/models/wan22/action_dit.py +index f6716e6..5838e0f 100644 +--- a/src/fastwam/models/wan22/action_dit.py ++++ b/src/fastwam/models/wan22/action_dit.py +@@ -229,6 +229,7 @@ class ActionDiT(nn.Module): + timestep: torch.Tensor, + context: torch.Tensor, + context_mask: Optional[torch.Tensor] = None, ++ precomputed_context_emb: Optional[torch.Tensor] = None, + ) -> Dict[str, Any]: + if action_tokens.ndim != 3: + raise ValueError( +@@ -281,7 +282,8 @@ class ActionDiT(nn.Module): + t_mod = self.time_projection(t).unflatten(1, (6, self.hidden_dim)) + + tokens = self.action_encoder(action_tokens) +- context_emb = self.text_embedding(context) ++ # `text_embedding(context)` is constant across a plan's diffusion steps; allow reuse. ++ context_emb = precomputed_context_emb if precomputed_context_emb is not None else self.text_embedding(context) + context_attn_mask = context_mask.unsqueeze(1).expand(-1, seq_len, -1) + freqs = self.freqs[:seq_len].view(seq_len, 1, -1).to(tokens.device) + +diff --git a/src/fastwam/models/wan22/fastwam.py b/src/fastwam/models/wan22/fastwam.py +index 106beb3..4157b39 100644 +--- a/src/fastwam/models/wan22/fastwam.py ++++ b/src/fastwam/models/wan22/fastwam.py +@@ -1,3 +1,4 @@ ++import os + from typing import Any, Optional, Sequence, Union + + import torch +@@ -85,6 +86,14 @@ class FastWAM(torch.nn.Module): + self.loss_lambda_video = float(loss_lambda_video) + self.loss_lambda_action = float(loss_lambda_action) + ++ # Exact inference-time caches (default on; disable with FASTWAM_TEXT_KV_CACHE=0). ++ # (1) encode_prompt memo: instruction is constant across a replan episode. ++ # (2) per-plan action cross-attn K/V + text-embedding cache: context is constant ++ # across a plan's diffusion steps. Both are numerically exact (bit-identical). ++ self._text_kv_cache_enabled = os.environ.get("FASTWAM_TEXT_KV_CACHE", "1") != "0" ++ self._prompt_cache: dict = {} ++ self._prompt_cache_cap = 16 ++ + self.to(self.device) + + @classmethod +@@ -205,6 +214,11 @@ class FastWAM(torch.nn.Module): + "Prompt encoding requires loaded text encoder/tokenizer. " + "Set `load_text_encoder=true` or provide precomputed `context/context_mask`." + ) ++ cache_key = prompt if (self._text_kv_cache_enabled and isinstance(prompt, str)) else None ++ if cache_key is not None: ++ hit = self._prompt_cache.get(cache_key) ++ if hit is not None: ++ return hit + ids, mask = self.tokenizer(prompt, return_mask=True, add_special_tokens=True) + ids = ids.to(self.device) + mask = mask.to(self.device, dtype=torch.bool) +@@ -214,7 +228,12 @@ class FastWAM(torch.nn.Module): + for i, v in enumerate(seq_lens): + prompt_emb[i, v:] = 0 + mask = torch.ones_like(mask) +- return prompt_emb.to(device=self.device), mask ++ result = (prompt_emb.to(device=self.device), mask) ++ if cache_key is not None: ++ if len(self._prompt_cache) >= self._prompt_cache_cap: ++ self._prompt_cache.clear() ++ self._prompt_cache[cache_key] = result ++ return result + + def _append_proprio_to_context( + self, +@@ -701,12 +720,15 @@ class FastWAM(torch.nn.Module): + video_kv_cache: list[dict[str, torch.Tensor]], + attention_mask: torch.Tensor, + video_seq_len: int, ++ precomputed_context_emb: Optional[torch.Tensor] = None, ++ action_cross_kv: Optional[list] = None, + ) -> torch.Tensor: + action_pre = self.action_expert.pre_dit( + action_tokens=latents_action, + timestep=timestep_action, + context=context, + context_mask=context_mask, ++ precomputed_context_emb=precomputed_context_emb, + ) + action_tokens = self.mot.forward_action_with_video_cache( + action_tokens=action_pre["tokens"], +@@ -719,6 +741,7 @@ class FastWAM(torch.nn.Module): + video_kv_cache=video_kv_cache, + attention_mask=attention_mask, + video_seq_len=video_seq_len, ++ action_cross_kv=action_cross_kv, + ) + return self.action_expert.post_dit(action_tokens, action_pre) + +@@ -1021,6 +1044,15 @@ class FastWAM(torch.nn.Module): + video_attention_mask=attention_mask[:video_seq_len, :video_seq_len], + ) + ++ # Precompute the (per-plan constant) action text-embedding + per-layer cross-attn K/V ++ # once, then reuse across all diffusion steps. Numerically exact; disable via ++ # FASTWAM_TEXT_KV_CACHE=0. ++ precomputed_context_emb = None ++ action_cross_kv = None ++ if self._text_kv_cache_enabled: ++ precomputed_context_emb = self.action_expert.text_embedding(context) ++ action_cross_kv = self.mot.prefill_action_cross_kv(precomputed_context_emb) ++ + infer_timesteps_action, infer_deltas_action = self.infer_action_scheduler.build_inference_schedule( + num_inference_steps=num_inference_steps, + device=self.device, +@@ -1038,6 +1070,8 @@ class FastWAM(torch.nn.Module): + video_kv_cache=video_kv_cache, + attention_mask=attention_mask, + video_seq_len=video_seq_len, ++ precomputed_context_emb=precomputed_context_emb, ++ action_cross_kv=action_cross_kv, + ) + pred_action = pred_action_posi + +diff --git a/src/fastwam/models/wan22/mot.py b/src/fastwam/models/wan22/mot.py +index 81bc6f8..3628ff5 100644 +--- a/src/fastwam/models/wan22/mot.py ++++ b/src/fastwam/models/wan22/mot.py +@@ -106,6 +106,7 @@ class MoT(nn.Module): + scale_mlp: torch.Tensor, + gate_mlp: torch.Tensor, + context_payload: Optional[dict], ++ cross_kv: Optional[tuple] = None, + ) -> torch.Tensor: + x = block.gate(residual_x, gate_msa, block.self_attn.o(mixed_attn_out)) + +@@ -115,7 +116,7 @@ class MoT(nn.Module): + context_mask = context_payload.get("mask") + if context_mask is not None and context_mask.dim() == 3: + context_mask = context_mask.unsqueeze(1) +- x = x + block.cross_attn(block.norm3(x), context, ctx_mask=context_mask) ++ x = x + block.cross_attn(block.norm3(x), context, ctx_mask=context_mask, kv=cross_kv) + + mlp_input = modulate(block.norm2(x), shift_mlp, scale_mlp) + x = block.gate(x, gate_mlp, block.ffn(mlp_input)) +@@ -194,6 +195,7 @@ class MoT(nn.Module): + use_gradient_checkpointing: bool, + mixed_slice: torch.Tensor, + context_payload: Optional[dict], ++ cross_kv: Optional[tuple] = None, + ) -> torch.Tensor: + """Apply post-attention computations, with optional checkpointing. + +@@ -232,6 +234,7 @@ class MoT(nn.Module): + scale_mlp=_scale_mlp, + gate_mlp=_gate_mlp, + context_payload=_context_payload, ++ cross_kv=cross_kv, + ) + + if use_gradient_checkpointing and self.training: +@@ -340,6 +343,12 @@ class MoT(nn.Module): + kv_cache.append({"k": k, "v": v}) + return kv_cache + ++ def prefill_action_cross_kv(self, context_emb: torch.Tensor) -> list[tuple]: ++ """Precompute per-layer action cross-attention K/V from the (per-plan constant) ++ text-embedded context. Reused across all diffusion steps of one plan (exact).""" ++ expert = self.mixtures["action"] ++ return [expert.blocks[i].cross_attn.compute_kv(context_emb) for i in range(self.num_layers)] ++ + def forward_action_with_video_cache( + self, + action_tokens: torch.Tensor, +@@ -349,6 +358,7 @@ class MoT(nn.Module): + video_kv_cache: list[dict[str, torch.Tensor]], + attention_mask: torch.Tensor, + video_seq_len: int, ++ action_cross_kv: Optional[list] = None, + ) -> torch.Tensor: + """Run action branch with cached video K/V instead of recomputing video tokens. + +@@ -441,6 +451,7 @@ class MoT(nn.Module): + use_gradient_checkpointing=use_gradient_checkpointing, + mixed_slice=mixed, + context_payload=action_context_payload, ++ cross_kv=None if action_cross_kv is None else action_cross_kv[layer_idx], + ) + return x + +diff --git a/src/fastwam/models/wan22/wan_video_dit.py b/src/fastwam/models/wan22/wan_video_dit.py +index 01dc2a0..1930e25 100644 +--- a/src/fastwam/models/wan22/wan_video_dit.py ++++ b/src/fastwam/models/wan22/wan_video_dit.py +@@ -212,10 +212,18 @@ class CrossAttention(nn.Module): + + # self.attn = AttentionModule(self.num_heads) + +- def forward(self, x: torch.Tensor, ctx: torch.Tensor, ctx_mask: Optional[torch.Tensor] = None): ++ def compute_kv(self, ctx: torch.Tensor): ++ # Cross-attn K/V depend only on the (per-plan constant) context; caching them across ++ # diffusion steps is numerically exact. See MoT.forward_action_with_video_cache. ++ return self.norm_k(self.k(ctx)), self.v(ctx) ++ ++ def forward(self, x: torch.Tensor, ctx: torch.Tensor, ctx_mask: Optional[torch.Tensor] = None, kv=None): + q = self.norm_q(self.q(x)) +- k = self.norm_k(self.k(ctx)) +- v = self.v(ctx) ++ if kv is None: ++ k = self.norm_k(self.k(ctx)) ++ v = self.v(ctx) ++ else: ++ k, v = kv + x = flash_attention(q=q, k=k, v=v, num_heads=self.num_heads, ctx_mask=ctx_mask) + return self.o(x) + diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/__init__.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/__init__.py new file mode 100644 index 00000000..1a14ea48 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/__init__.py @@ -0,0 +1,15 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Model-agnostic LIBERO simulator harness. + +Ships the LIBERO env glue, a `Policy` seam, generic closed-loop/interactive harnesses, +and a built-in RandomPolicy. Any policy/model (FastWAM, MolmoACT2, ...) drives the sim by +providing a `build_policy() -> Policy` factory selected via POLICY_FACTORY. +""" +from sim_libero._torch_compat import patch_torch_load + +patch_torch_load() + +from sim_libero.policy import Policy, load_policy # noqa: E402 + +__all__ = ["Policy", "load_policy"] diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/_torch_compat.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/_torch_compat.py new file mode 100644 index 00000000..e75a6d57 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/_torch_compat.py @@ -0,0 +1,29 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""torch.load compatibility shim for LIBERO's pickled assets. + +LIBERO stores per-task init-states as numpy-backed pickled tensors and loads them via +torch.load. PyTorch >= 2.6 flipped the torch.load default to weights_only=True, which +rejects those pickles. Restore the pre-2.6 default so the LIBERO assets baked into the +image load. Safe here: the files are trusted assets shipped in the simulator image. + +Applied globally via sitecustomize.py (so the upstream fastwam eval script, which does not +import sim_libero, is covered) and also from sim_libero.__init__ for direct library use. +""" + + +def patch_torch_load(): + try: + import torch + except ImportError: + return + if getattr(torch.load, "_sim_libero_patched", False): + return + _orig = torch.load + + def _load(*args, **kwargs): + kwargs.setdefault("weights_only", False) + return _orig(*args, **kwargs) + + _load._sim_libero_patched = True + torch.load = _load diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/envutil.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/envutil.py new file mode 100644 index 00000000..e69f3a1c --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/envutil.py @@ -0,0 +1,23 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Env-var readers that treat an empty string as unset. + +The ryzers run wrapper passes optional knobs as `-e VAR=${VAR:-}`, i.e. an empty string +when the host did not set them. Plain os.environ.get(key, default) would then return "" +(not the default) and break int()/float() parsing, so these helpers fall back to the +default whenever the value is missing or empty. +""" +import os + + +def env_str(key, default): + val = os.environ.get(key) + return val if val not in (None, "") else default + + +def env_int(key, default): + return int(env_str(key, str(default))) + + +def env_float(key, default): + return float(env_str(key, str(default))) diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/interactive_server.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/interactive_server.py new file mode 100644 index 00000000..32feeb8d --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/interactive_server.py @@ -0,0 +1,323 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Interactive LIBERO demo (model-agnostic, chunk-replay). + +Command-driven showcase: the sim sits IDLE on a scene until you send an instruction; +then it resets the env + policy and runs that one task to completion (or until Stop), +streaming the composed agentview|wrist view to the browser as MJPEG and saving a debug +MP4 (executed command banner on top). Use the environment dropdown to switch to any +shipped LIBERO task; the last run's video stays on screen with a download link. + +The policy is chosen at runtime via POLICY_FACTORY=module:function (default: the built-in +RandomPolicy shipped with this simulator). Any model that implements sim_libero.Policy can +drive this demo. Stdlib http.server only. + +Env: SUITE, TASK_ID, SEED, PORT (8080), OUT_DIR (/sim_outputs), VIEW_RES (720), +VIDEO_RES (720), RENDER_RES (512, HD sim render; policy still resizes to its own input), +MAX_STEPS (0=suite default), POLICY_FACTORY. View: ssh -L 8080:localhost:8080 . +""" +import json +import os +import threading +import time +from datetime import datetime +from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer +from urllib.parse import parse_qs, urlparse + +from sim_libero.envutil import env_int, env_str +from sim_libero.libero_env import get_libero_image, list_envs +from sim_libero.policy import load_policy +from sim_libero.render import banner_frame, compose_view, encode_jpeg, save_mp4 +from sim_libero.scene import build_scene + +SUITE = env_str("SUITE", "libero_object") +TASK_ID = env_int("TASK_ID", 0) +SEED = env_int("SEED", 1000) +PORT = env_int("PORT", 8080) +VIEW_RES = env_int("VIEW_RES", 720) +VIDEO_RES = env_int("VIDEO_RES", 720) +RENDER_RES = env_int("RENDER_RES", 512) # sim camera size for the HD viewport +MAX_STEPS = env_int("MAX_STEPS", 0) # 0 -> per-suite default horizon +OUT_DIR = env_str("OUT_DIR", "/sim_outputs") + +STATE = { + "mode": "loading", "instruction": "", "scene_task": "", + "suite": SUITE, "task_id": TASK_ID, "objects": [], + "step": 0, "success": False, "status": "starting", "frame": None, "video_url": "", +} +LOCK = threading.Lock() +PENDING = {"action": None, "instruction": "", "max_steps": 0, "suite": SUITE, "task_id": TASK_ID} +EVENT = threading.Event() +STOP = {"flag": False} + +_ENVS_CACHE = None + + +def _envs_json(): + """Cached env-picker payload: [{value, label}] over every shipped LIBERO task.""" + global _ENVS_CACHE + if _ENVS_CACHE is None: + items = [] + for e in list_envs(): + desc = (e["description"] or "").strip() + label = f"{e['suite']} / task {e['task_id']}" + (f" - {desc[:44]}" if desc else "") + items.append({"value": f"suite={e['suite']}&task_id={e['task_id']}", "label": label}) + _ENVS_CACHE = items + return _ENVS_CACHE + + +def _set_frame(rgb): + with LOCK: + STATE["frame"] = encode_jpeg(rgb) + + +def engine_thread(): + os.makedirs(os.path.join(OUT_DIR, "interactive"), exist_ok=True) + with LOCK: + STATE["status"] = "loading policy ..." + policy = load_policy() + + def show_idle(sc, keep_video=False): + obs = sc.reset() + upd = dict(mode="idle", status="idle - send an instruction", step=0, + success=False, suite=sc.suite, task_id=sc.task_id, + scene_task=sc.description, objects=sc.objects, instruction="") + if not keep_video: + upd["video_url"] = "" + with LOCK: + STATE.update(upd) + if not keep_video: + STATE.pop("_video_path", None) + _set_frame(compose_view(get_libero_image(obs), height=VIEW_RES)) + + scene = build_scene(SUITE, TASK_ID, seed=SEED, resolution=RENDER_RES) + show_idle(scene) + + def run_command(sc, instruction, max_steps): + with LOCK: + STATE.update(mode="running", instruction=instruction, step=0, success=False, + status=f"running: {instruction}", video_url="") + STATE.pop("_video_path", None) + STOP["flag"] = False + frames = [] + + def on_frame(imgs, step, holding): + rgb = compose_view(imgs, height=VIEW_RES) + _set_frame(rgb) + frames.append(banner_frame(compose_view(imgs), instruction, VIDEO_RES)) + with LOCK: + STATE["step"] = step + + from sim_libero.rollout import run_episode + + limit = max_steps or MAX_STEPS or None + success, _ = run_episode(sc, policy, instruction, on_frame=on_frame, + should_stop=lambda: STOP["flag"], max_steps=limit) + + url = "" + if frames: + ts = datetime.now().strftime("%H%M%S") + name = f"interactive/{ts}_{sc.suite}_{sc.task_id}_{'ok' if success else 'run'}.mp4" + path = os.path.join(OUT_DIR, name) + try: + save_mp4(frames, path, fps=20) + url = "/video?ts=" + ts + with LOCK: + STATE["_video_path"] = path + except Exception as e: # noqa: BLE001 + print("video save failed:", e, flush=True) + + with LOCK: + STATE.update(mode="idle", success=success, video_url=url, + status=("success" if success else ("stopped" if STOP["flag"] else "done"))) + show_idle(sc, keep_video=True) + + while True: + EVENT.wait() + EVENT.clear() + with LOCK: + action = PENDING["action"] + instruction = PENDING["instruction"] + max_steps = int(PENDING.get("max_steps", 0) or 0) + sel_suite = PENDING.get("suite", SUITE) + sel_task = int(PENDING.get("task_id", 0) or 0) + PENDING["action"] = None + if action == "select": + STOP["flag"] = True + with LOCK: + STATE["status"] = f"loading scene {sel_suite}/{sel_task} ..." + try: + new_scene = build_scene(sel_suite, sel_task, seed=SEED, resolution=RENDER_RES) + except Exception as e: # noqa: BLE001 + with LOCK: + STATE["status"] = f"scene build failed: {e}" + continue + scene.close() + scene = new_scene + show_idle(scene) + elif action == "run": + run_command(scene, instruction, max_steps) + + +PAGE = b""" +FastWAM sim - LIBERO (live) +
    +

    FastWAM simulator - LIBERO (live)

    +sim +
    + + + +
    +
    + environment + + +
    +
    status: loading...
    +
    scene
    +
    +
    +""" + + +class Handler(BaseHTTPRequestHandler): + def log_message(self, *a): + pass + + def _send(self, code, ctype, body, extra=None): + self.send_response(code) + self.send_header("Content-Type", ctype) + self.send_header("Content-Length", str(len(body))) + for k, v in (extra or {}).items(): + self.send_header(k, v) + self.end_headers() + self.wfile.write(body) + + def do_GET(self): + path = urlparse(self.path).path + if path == "/": + self._send(200, "text/html; charset=utf-8", PAGE) + elif path == "/envs": + self._send(200, "application/json", json.dumps(_envs_json()).encode()) + elif path == "/status": + with LOCK: + s = {k: STATE[k] for k in ("mode", "status", "instruction", "scene_task", + "suite", "task_id", "objects", "step", + "success", "video_url")} + self._send(200, "application/json", json.dumps(s).encode()) + elif path == "/video": + with LOCK: + p = STATE.get("_video_path") + if p and os.path.exists(p): + with open(p, "rb") as f: + self._send(200, "video/mp4", f.read(), + extra={"Content-Disposition": "attachment; filename=fastwam_libero.mp4"}) + else: + self._send(404, "text/plain", b"no video") + elif path == "/stream": + self.send_response(200) + self.send_header("Content-Type", "multipart/x-mixed-replace; boundary=frame") + self.end_headers() + try: + while True: + with LOCK: + frame = STATE["frame"] + if frame: + self.wfile.write(b"--frame\r\nContent-Type: image/jpeg\r\n") + self.wfile.write(f"Content-Length: {len(frame)}\r\n\r\n".encode()) + self.wfile.write(frame) + self.wfile.write(b"\r\n") + time.sleep(0.06) + except (BrokenPipeError, ConnectionResetError): + pass + else: + self._send(404, "text/plain", b"not found") + + def do_POST(self): + path = urlparse(self.path).path + if path == "/command": + n = int(self.headers.get("Content-Length", "0")) + q = parse_qs(self.rfile.read(n).decode()) + instr = q.get("instruction", [""])[0].strip() + ms = q.get("max_steps", ["0"])[0] + if instr: + STOP["flag"] = True + with LOCK: + PENDING.update(action="run", instruction=instr, max_steps=int(ms or 0)) + EVENT.set() + self.send_response(204) + self.end_headers() + elif path == "/select": + n = int(self.headers.get("Content-Length", "0")) + q = parse_qs(self.rfile.read(n).decode()) + suite = q.get("suite", [""])[0].strip() + tid = q.get("task_id", ["0"])[0] + if suite: + STOP["flag"] = True + with LOCK: + PENDING.update(action="select", suite=suite, task_id=int(tid or 0)) + EVENT.set() + self.send_response(204) + self.end_headers() + elif path == "/stop": + STOP["flag"] = True + self.send_response(204) + self.end_headers() + else: + self.send_response(404) + self.end_headers() + + +def main(): + threading.Thread(target=engine_thread, daemon=True).start() + srv = ThreadingHTTPServer(("0.0.0.0", PORT), Handler) + print(f"interactive demo on http://0.0.0.0:{PORT} (ssh -L {PORT}:localhost:{PORT} )", flush=True) + srv.serve_forever() + + +if __name__ == "__main__": + main() diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/interactive_server_rt.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/interactive_server_rt.py new file mode 100644 index 00000000..55d6dc86 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/interactive_server_rt.py @@ -0,0 +1,428 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Real-time (_RT) LIBERO demo (model-agnostic). + +The real-time sibling of interactive_server.py. The clean demo freezes the world during +each policy forward and fast-replays the chunk, hiding planner latency. Here planning is +decoupled from the simulator so you can SEE the latency: + + * a SIM thread owns the MuJoCo env and steps it at wall-clock RT_HZ (LIBERO's control + rate). Each tick it consumes one action from a shared buffer; if the buffer is empty + (the planner is still thinking) it applies a HOLD action so the robot stays put. + * a PLANNER thread runs policy.predict_action_chunk on a snapshot of the latest obs to + refill the buffer. It never touches the env (MuJoCo isn't thread-safe). + +HOLD is safe because LIBERO uses an OSC_POSE controller with control_delta=True: the 7-D +action is [dx,dy,dz, droll,dpitch,dyaw, gripper]. Zeroing the 6 delta dims => target == +current pose => the controller holds position. The gripper dim is absolute, so HOLD keeps +the LAST commanded gripper (don't drop what you're holding). Replaying the last motion +action would re-integrate the delta and drift, so HOLD must be zeros. + +The policy is chosen via POLICY_FACTORY=module:function (default RandomPolicy). Use the +environment dropdown to switch tasks; the last run's video stays on screen with a download +link. + +Env: SUITE, TASK_ID, SEED, PORT (8081), OUT_DIR (/sim_outputs), VIEW_RES (720), +VIDEO_RES (720), RENDER_RES (512, HD sim render), RT_HZ (20), RT_MAX_STEPS (1200), +MAX_STEPS (0=suite default), POLICY_FACTORY. +""" +import copy +import json +import os +import threading +import time +from collections import deque +from datetime import datetime +from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer +from urllib.parse import parse_qs, urlparse + +import numpy as np + +from sim_libero.envutil import env_float, env_int, env_str +from sim_libero.libero_env import get_libero_dummy_action, get_libero_image, get_max_steps, list_envs +from sim_libero.policy import load_policy +from sim_libero.render import banner_frame, compose_view, encode_jpeg, save_mp4 +from sim_libero.scene import build_scene + +SUITE = env_str("SUITE", "libero_object") +TASK_ID = env_int("TASK_ID", 0) +SEED = env_int("SEED", 1000) +PORT = env_int("PORT", 8081) +VIEW_RES = env_int("VIEW_RES", 720) +VIDEO_RES = env_int("VIDEO_RES", 720) +RENDER_RES = env_int("RENDER_RES", 512) +RT_HZ = env_float("RT_HZ", 20) +RT_MAX_STEPS = env_int("RT_MAX_STEPS", 1200) +MAX_STEPS = env_int("MAX_STEPS", 0) # 0 -> per-suite default horizon +OUT_DIR = env_str("OUT_DIR", "/sim_outputs") +DT = 1.0 / RT_HZ + +STATE = { + "mode": "loading", "instruction": "", "scene_task": "", + "suite": SUITE, "task_id": TASK_ID, "objects": [], + "step": 0, "success": False, "holding": False, "buffer": 0, "hold_pct": 0.0, + "status": "starting", "frame": None, "video_url": "", +} +LOCK = threading.Lock() +PENDING = {"action": None, "instruction": "", "max_steps": 0, "suite": SUITE, "task_id": TASK_ID} +EVENT = threading.Event() +STOP = {"flag": False} + +_ENVS_CACHE = None + + +def _envs_json(): + global _ENVS_CACHE + if _ENVS_CACHE is None: + items = [] + for e in list_envs(): + desc = (e["description"] or "").strip() + label = f"{e['suite']} / task {e['task_id']}" + (f" - {desc[:44]}" if desc else "") + items.append({"value": f"suite={e['suite']}&task_id={e['task_id']}", "label": label}) + _ENVS_CACHE = items + return _ENVS_CACHE + + +def _set_frame(rgb): + with LOCK: + STATE["frame"] = encode_jpeg(rgb) + + +def engine_thread(): + os.makedirs(os.path.join(OUT_DIR, "interactive_rt"), exist_ok=True) + with LOCK: + STATE["status"] = "loading policy ..." + policy = load_policy() + + def show_idle(sc, keep_video=False): + obs = sc.reset() + upd = dict(mode="idle", status="idle - send an instruction", step=0, + success=False, suite=sc.suite, task_id=sc.task_id, + scene_task=sc.description, objects=sc.objects, instruction="", + holding=False, buffer=0, hold_pct=0.0) + if not keep_video: + upd["video_url"] = "" + with LOCK: + STATE.update(upd) + if not keep_video: + STATE.pop("_video_path", None) + _set_frame(compose_view(get_libero_image(obs), height=VIEW_RES)) + + scene = build_scene(SUITE, TASK_ID, seed=SEED, resolution=RENDER_RES) + + # Warm up the policy once so the first real episode isn't stalled by JIT/compile. + with LOCK: + STATE["status"] = "warming up policy ..." + try: + wobs = scene.reset() + policy.reset(scene.description) + policy.warmup(wobs, scene.description or "pick up the object") + except Exception as e: # noqa: BLE001 + print("warmup failed:", e, flush=True) + show_idle(scene) + + def run_command(sc, instruction, max_steps): + with LOCK: + STATE.update(mode="running", instruction=instruction, step=0, success=False, + status=f"running: {instruction}", video_url="", holding=False) + STATE.pop("_video_path", None) + STOP["flag"] = False + replan_steps = int(getattr(policy, "replan_steps", 5)) + num_steps_wait = int(getattr(policy, "num_steps_wait", 5)) + horizon = max_steps or get_max_steps(sc.suite) + max_steps_eff = horizon + num_steps_wait + if not max_steps: + max_steps_eff = min(max_steps_eff, RT_MAX_STEPS) + + obs = sc.reset() + policy.reset(instruction) + + buf = deque() + buflock = threading.Lock() + shared = {"obs": copy.deepcopy(obs), "last_gripper": -1.0, "done": False, + "hold": 0, "total": 0, "infer_ms": 0.0} + frames = [] + + def planner(): + while not STOP["flag"] and not shared["done"]: + with buflock: + have = len(buf) + if have > 0: + time.sleep(0.005) + continue + with LOCK: + snap = shared["obs"] + t0 = time.perf_counter() + try: + chunk = policy.predict_action_chunk(snap, instruction) + except Exception as e: # noqa: BLE001 + print("planner predict failed:", e, flush=True) + time.sleep(0.02) + continue + shared["infer_ms"] = round((time.perf_counter() - t0) * 1000.0, 0) + with buflock: + for a in chunk[:replan_steps]: + buf.append(np.asarray(a, dtype=np.float32)) + + pth = threading.Thread(target=planner, daemon=True) + pth.start() + + t = 0 + done = False + next_tick = time.perf_counter() + while t < max_steps_eff and not STOP["flag"]: + if t < num_steps_wait: + obs, _, done, _ = sc.env.step(get_libero_dummy_action()) + else: + with buflock: + a = buf.popleft() if buf else None + holding = a is None + if holding: + a = np.array([0, 0, 0, 0, 0, 0, shared["last_gripper"]], dtype=np.float32) + else: + shared["last_gripper"] = float(a[6]) + obs, _, done, _ = sc.env.step(list(a)) + shared["total"] += 1 + shared["hold"] += int(holding) + + with LOCK: + shared["obs"] = copy.deepcopy(obs) + imgs = get_libero_image(obs) + rgb = compose_view(imgs, height=VIEW_RES) + _set_frame(rgb) + tag = "THINKING" if (t >= num_steps_wait and holding) else "" + frames.append(banner_frame(compose_view(imgs), instruction, VIDEO_RES, tag=tag)) + with buflock: + bufn = len(buf) + with LOCK: + STATE.update(step=t, holding=bool(tag), buffer=bufn, + hold_pct=round(100.0 * shared["hold"] / max(1, shared["total"]), 0)) + t += 1 + if done: + shared["done"] = True + break + next_tick += DT + sleep = next_tick - time.perf_counter() + if sleep > 0: + time.sleep(sleep) + else: + next_tick = time.perf_counter() + + shared["done"] = True + success = bool(shared["done"] and done) + pth.join(timeout=2.0) + + url = "" + if frames: + ts = datetime.now().strftime("%H%M%S") + name = f"interactive_rt/{ts}_{sc.suite}_{sc.task_id}_{'ok' if success else 'run'}.mp4" + path = os.path.join(OUT_DIR, name) + try: + save_mp4(frames, path, fps=RT_HZ) + url = "/video?ts=" + ts + with LOCK: + STATE["_video_path"] = path + except Exception as e: # noqa: BLE001 + print("video save failed:", e, flush=True) + + hp = 100.0 * shared["hold"] / max(1, shared["total"]) + print(f"[rt] steps={shared['total']} hold%={hp:.0f} success={success}", flush=True) + with LOCK: + STATE.update(mode="idle", success=success, video_url=url, holding=False, + status=("success" if success else ("stopped" if STOP["flag"] else "done"))) + show_idle(sc, keep_video=True) + + while True: + EVENT.wait() + EVENT.clear() + with LOCK: + action = PENDING["action"] + instruction = PENDING["instruction"] + max_steps = int(PENDING.get("max_steps", 0) or 0) + sel_suite = PENDING.get("suite", SUITE) + sel_task = int(PENDING.get("task_id", 0) or 0) + PENDING["action"] = None + if action == "select": + STOP["flag"] = True + with LOCK: + STATE["status"] = f"loading scene {sel_suite}/{sel_task} ..." + try: + new_scene = build_scene(sel_suite, sel_task, seed=SEED, resolution=RENDER_RES) + except Exception as e: # noqa: BLE001 + with LOCK: + STATE["status"] = f"scene build failed: {e}" + continue + scene.close() + scene = new_scene + show_idle(scene) + elif action == "run": + run_command(scene, instruction, max_steps) + + +PAGE = b""" +FastWAM sim - LIBERO (REAL-TIME) +
    +

    FastWAM simulator - LIBERO (REAL-TIME)

    +

    The simulator runs at wall-clock speed; the robot pauses (THINKING) while the policy plans, then resumes when the action buffer refills.

    +sim +
    + + + +
    +
    + environment + + +
    +
    status: loading...
    +
    scene
    +
    +
    +""" + + +class Handler(BaseHTTPRequestHandler): + def log_message(self, *a): + pass + + def _send(self, code, ctype, body, extra=None): + self.send_response(code) + self.send_header("Content-Type", ctype) + self.send_header("Content-Length", str(len(body))) + for k, v in (extra or {}).items(): + self.send_header(k, v) + self.end_headers() + self.wfile.write(body) + + def do_GET(self): + path = urlparse(self.path).path + if path == "/": + self._send(200, "text/html; charset=utf-8", PAGE) + elif path == "/envs": + self._send(200, "application/json", json.dumps(_envs_json()).encode()) + elif path == "/status": + with LOCK: + s = {k: STATE[k] for k in ("mode", "status", "instruction", "scene_task", + "suite", "task_id", "objects", "step", + "success", "holding", "buffer", "hold_pct", "video_url")} + self._send(200, "application/json", json.dumps(s).encode()) + elif path == "/video": + with LOCK: + p = STATE.get("_video_path") + if p and os.path.exists(p): + with open(p, "rb") as f: + self._send(200, "video/mp4", f.read(), + extra={"Content-Disposition": "attachment; filename=fastwam_libero_rt.mp4"}) + else: + self._send(404, "text/plain", b"no video") + elif path == "/stream": + self.send_response(200) + self.send_header("Content-Type", "multipart/x-mixed-replace; boundary=frame") + self.end_headers() + try: + while True: + with LOCK: + frame = STATE["frame"] + if frame: + self.wfile.write(b"--frame\r\nContent-Type: image/jpeg\r\n") + self.wfile.write(f"Content-Length: {len(frame)}\r\n\r\n".encode()) + self.wfile.write(frame) + self.wfile.write(b"\r\n") + time.sleep(0.04) + except (BrokenPipeError, ConnectionResetError): + pass + else: + self._send(404, "text/plain", b"not found") + + def do_POST(self): + path = urlparse(self.path).path + if path == "/command": + n = int(self.headers.get("Content-Length", "0")) + q = parse_qs(self.rfile.read(n).decode()) + instr = q.get("instruction", [""])[0].strip() + ms = q.get("max_steps", ["0"])[0] + if instr: + STOP["flag"] = True + with LOCK: + PENDING.update(action="run", instruction=instr, max_steps=int(ms or 0)) + EVENT.set() + self.send_response(204) + self.end_headers() + elif path == "/select": + n = int(self.headers.get("Content-Length", "0")) + q = parse_qs(self.rfile.read(n).decode()) + suite = q.get("suite", [""])[0].strip() + tid = q.get("task_id", ["0"])[0] + if suite: + STOP["flag"] = True + with LOCK: + PENDING.update(action="select", suite=suite, task_id=int(tid or 0)) + EVENT.set() + self.send_response(204) + self.end_headers() + elif path == "/stop": + STOP["flag"] = True + self.send_response(204) + self.end_headers() + else: + self.send_response(404) + self.end_headers() + + +def main(): + threading.Thread(target=engine_thread, daemon=True).start() + srv = ThreadingHTTPServer(("0.0.0.0", PORT), Handler) + print(f"real-time demo on http://0.0.0.0:{PORT} (ssh -L {PORT}:localhost:{PORT} )", flush=True) + srv.serve_forever() + + +if __name__ == "__main__": + main() diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/libero_env.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/libero_env.py new file mode 100644 index 00000000..c6171e31 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/libero_env.py @@ -0,0 +1,107 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Model-agnostic LIBERO environment glue for the simulation/libero package. + +Vendored from FastWAM's experiments/libero/libero_utils.py so this simulator package has +zero dependency on any policy/model repo. Provides just the pieces a closed-loop or +interactive harness needs: build an env for a benchmark task, pull the agentview+wrist +image, the no-op action, per-suite horizons, and the list of shipped suites. +""" +import contextlib +import logging +import os +import pathlib +import warnings + +# Quiet the noisy third-party import chatter (not errors). robosuite logs a "no private +# macro file" WARNING via its logger; gym prints its "unmaintained / NumPy 2.0" notice +# straight to stderr at import time (NOT through warnings, so a filter can't catch it). +# Suppress robosuite by raising its logger to ERROR, and gym by eagerly importing it once +# with stderr redirected -- later imports (by libero/robosuite) hit the module cache and +# stay quiet. Real errors still propagate (logger level is ERROR, not CRITICAL). +for _name in ("robosuite_logs", "robosuite"): + logging.getLogger(_name).setLevel(logging.ERROR) +with contextlib.redirect_stderr(open(os.devnull, "w")): + try: + import gym # noqa: F401 + except Exception: # noqa: BLE001 + pass +# Set the warnings filter AFTER importing gym: gym resets the warnings registry on import, +# which would otherwise wipe this filter and let robosuite's deprecated-.warn() notice leak. +warnings.filterwarnings("ignore", category=DeprecationWarning) + +import numpy as np +from libero.libero import benchmark as _benchmark +from libero.libero import get_libero_path +from libero.libero.envs import OffScreenRenderEnv + +LIBERO_ENV_RESOLUTION = 256 # resolution used to render training data + +SUITES = ["libero_object", "libero_goal", "libero_spatial", "libero_10", "libero_90"] + +_SUITE_MAX_STEPS = { + "libero_spatial": 400, + "libero_object": 400, + "libero_goal": 400, + "libero_10": 700, + "libero_90": 700, +} + + +def get_max_steps(task_suite_name): + if task_suite_name not in _SUITE_MAX_STEPS: + raise ValueError(f"Unknown task suite: {task_suite_name}") + return _SUITE_MAX_STEPS[task_suite_name] + + +def get_benchmark_dict(): + return _benchmark.get_benchmark_dict() + + +def list_envs(): + """Enumerate every shipped (suite, task_id, description) for the env-picker dropdown. + + Cheap: reads task metadata from the benchmark registry without building any sim env. + """ + out = [] + bench = get_benchmark_dict() + for suite in SUITES: + try: + task_suite = bench[suite]() + n_tasks = int(getattr(task_suite, "n_tasks", 0)) + for task_id in range(n_tasks): + out.append({ + "suite": suite, + "task_id": task_id, + "description": task_suite.get_task(task_id).language, + }) + except Exception: # noqa: BLE001 - skip a suite that fails to enumerate + continue + return out + + +def get_libero_env(task, resolution, seed): + """Initialize a single OffScreenRenderEnv for a task; returns (env, description).""" + task_description = task.language + task_bddl_file = ( + pathlib.Path(get_libero_path("bddl_files")) / task.problem_folder / task.bddl_file + ) + env = OffScreenRenderEnv( + bddl_file_name=task_bddl_file, + camera_heights=resolution, + camera_widths=resolution, + ) + env.seed(seed) # seed affects object positions even with a fixed initial state + return env, task_description + + +def get_libero_dummy_action(): + """No-op action (open gripper) used to settle the sim while the robot does nothing.""" + return [0, 0, 0, 0, 0, 0, -1] + + +def get_libero_image(obs): + """Extract + preprocess the agentview and wrist images (rotate 180 to match training).""" + img = np.ascontiguousarray(obs["agentview_image"][::-1, ::-1]) + wrist_img = np.ascontiguousarray(obs["robot0_eye_in_hand_image"][::-1, ::-1]) + return {"image": img, "wrist_image": wrist_img} diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/policy.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/policy.py new file mode 100644 index 00000000..b16afe0c --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/policy.py @@ -0,0 +1,53 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Model-agnostic policy interface for the LIBERO simulator harness. + +A policy plugs into the closed-loop / interactive harness by implementing this ABC. The +harness owns the env, rendering, streaming and the episode loop; the policy only turns an +observation + instruction into an action chunk. Any model (FastWAM, MolmoACT2, VLA-JEPA, +...) ships a factory `build_policy() -> Policy` and is selected at runtime via the +`POLICY_FACTORY=module:function` env var (default: the built-in RandomPolicy). +""" +import importlib +from abc import ABC, abstractmethod + +from sim_libero.envutil import env_str + + +class Policy(ABC): + """Turns (obs, instruction) into a [T, action_dim] chunk. Harness executes it.""" + + # LIBERO OSC_POSE control cadence knobs the harness reads (a model may override). + replan_steps = 5 # env steps executed per predicted chunk before replanning + num_steps_wait = 5 # no-op settle steps at episode start + name = "policy" + + def reset(self, instruction): + """Called once per episode before the first prediction (clear caches, etc.).""" + + @abstractmethod + def predict_action_chunk(self, obs, instruction): + """Return an ndarray of shape [T, 7] (dx,dy,dz,droll,dpitch,dyaw, gripper).""" + + def warmup(self, obs, instruction): + """Optional one-time forward so the first real episode isn't stalled.""" + try: + self.predict_action_chunk(obs, instruction) + except Exception: # noqa: BLE001 - warmup is best-effort + pass + + +def load_policy(): + """Instantiate the policy named by POLICY_FACTORY=module:function (default RandomPolicy).""" + spec = env_str("POLICY_FACTORY", "sim_libero.random_policy:build_policy") + if ":" not in spec: + raise ValueError(f"POLICY_FACTORY must be 'module:function', got {spec!r}") + module_name, fn_name = spec.split(":", 1) + factory = getattr(importlib.import_module(module_name), fn_name) + policy = factory() + if not isinstance(policy, Policy): + raise TypeError(f"{spec} did not return a sim_libero.Policy (got {type(policy)})") + return policy + + +__all__ = ["Policy", "load_policy"] diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/random_policy.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/random_policy.py new file mode 100644 index 00000000..7d85bc5a --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/random_policy.py @@ -0,0 +1,31 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Built-in no-model policy for simulator sanity checks. + +Emits small random end-effector deltas so the arm visibly moves, proving the LIBERO +env renders and steps without any learned model. This is the default policy when +POLICY_FACTORY is unset. +""" +import numpy as np + +from sim_libero.policy import Policy + + +class RandomPolicy(Policy): + name = "random" + + def __init__(self, scale=0.15, seed=0): + self.scale = scale + self.rng = np.random.default_rng(seed) + + def reset(self, instruction): + pass + + def predict_action_chunk(self, obs, instruction): + deltas = self.rng.uniform(-self.scale, self.scale, size=(self.replan_steps, 6)) + gripper = self.rng.choice([-1.0, 1.0], size=(self.replan_steps, 1)) + return np.concatenate([deltas, gripper], axis=1).astype(np.float32) + + +def build_policy(): + return RandomPolicy() diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/render.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/render.py new file mode 100644 index 00000000..a2204281 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/render.py @@ -0,0 +1,89 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Shared rendering helpers for the LIBERO interactive/sanity harness. + +Pure-stdlib + Pillow/imageio; no torch, no policy code. Handles MJPEG frame encoding, +the composed agentview|wrist viewport, the command banner, and even-dimension MP4 saving +(FFmpeg's yuv420p encoder rejects odd width/height). +""" +import io +import os + +import numpy as np +from PIL import Image, ImageDraw, ImageFont + + +def font(size): + for p in ( + "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", + "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", + ): + if os.path.exists(p): + return ImageFont.truetype(p, size) + return ImageFont.load_default() + + +def encode_jpeg(rgb, quality=88): + buf = io.BytesIO() + Image.fromarray(np.ascontiguousarray(rgb)).save(buf, format="JPEG", quality=quality) + return buf.getvalue() + + +def compose_view(imgs, height=None): + """Stitch the {image, wrist_image} dict from get_libero_image side-by-side. + + Optionally upscale to `height` px tall for a crisper live viewport (aspect kept). + """ + parts = [] + for key in ("image", "wrist_image"): + if key in imgs: + arr = np.asarray(imgs[key]) + parts.append(arr) + view = np.concatenate(parts, axis=1) if len(parts) > 1 else parts[0] + if height is not None and view.shape[0] != height: + w = int(round(view.shape[1] * height / view.shape[0])) + view = np.asarray(Image.fromarray(view).resize((w, height), Image.BILINEAR)) + return np.ascontiguousarray(view) + + +def banner_frame(rgb, text, size, tag=""): + """Downscale the frame to `size` px wide and add a top banner with the command. + + Output width/height are forced even so the H.264 yuv420p encoder accepts them. + """ + img = Image.fromarray(np.ascontiguousarray(rgb)) + w = size + h = int(round(img.height * size / img.width)) + w += w % 2 + h += h % 2 + img = img.resize((w, h), Image.BILINEAR) + bh = max(40, h // 10) + bh += bh % 2 + canvas = Image.new("RGB", (w, h + bh), (15, 15, 18)) + canvas.paste(img, (0, bh)) + d = ImageDraw.Draw(canvas) + f = font(max(14, w // 40)) + cap = 44 if tag else 70 + msg = text if len(text) <= cap else text[: cap - 3] + "..." + d.text((10, bh // 2), msg, fill=(240, 240, 240), font=f, anchor="lm") + if tag: + color = (255, 180, 80) if tag == "THINKING" else (120, 210, 140) + d.text((w - 10, bh // 2), tag, fill=color, font=f, anchor="rm") + return np.asarray(canvas) + + +def save_mp4(frames, path, fps=20): + """Save RGB frames to an MP4 (H.264, yuv420p). Frames must share even dimensions. + + imageio-ffmpeg already injects `-pix_fmt yuv420p` for libx264, so we set it via the + writer's `pixelformat` (not output_params) to avoid ffmpeg's "Multiple -pix_fmt + options" warning from passing it twice. + """ + import imageio + + with imageio.get_writer( + path, fps=fps, codec="libx264", quality=8, + macro_block_size=1, pixelformat="yuv420p", + ) as w: + for fr in frames: + w.append_data(np.ascontiguousarray(fr)) diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/rollout.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/rollout.py new file mode 100644 index 00000000..46cddcf8 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/rollout.py @@ -0,0 +1,55 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Model-agnostic LIBERO episode loop (chunk-replay). + +Mirrors FastWAM's validated eval stepping exactly, but calls a generic Policy for the +action chunk instead of a hard-wired model: settle for `num_steps_wait` no-ops, then +repeatedly predict a chunk and execute its first `replan_steps` actions, rendering each +step through an `on_frame` callback. Used by both the sanity runner and the clean +interactive server. +""" +from sim_libero.libero_env import get_libero_dummy_action, get_libero_image, get_max_steps + + +def run_episode(scene, policy, instruction, on_frame=None, should_stop=None, max_steps=None): + """Run one episode; returns (success, num_model_steps). + + on_frame(view_dict, step_idx, holding) is called every executed step. + should_stop() -> True aborts early (interactive Stop button). + """ + replan_steps = int(getattr(policy, "replan_steps", 5)) + num_steps_wait = int(getattr(policy, "num_steps_wait", 5)) + if max_steps is None: + max_steps = get_max_steps(scene.suite) + + obs = scene.reset() + policy.reset(instruction) + + pending = [] + success = False + model_steps = 0 + t = 0 + while t < max_steps + num_steps_wait: + if should_stop is not None and should_stop(): + break + if t < num_steps_wait: + obs, _, done, _ = scene.env.step(get_libero_dummy_action()) + t += 1 + continue + + if not pending: + chunk = policy.predict_action_chunk(obs, instruction) + pending = [list(a) for a in chunk[:replan_steps]] + model_steps += 1 + + imgs = get_libero_image(obs) + if on_frame is not None: + on_frame(imgs, t, False) + + obs, _, done, _ = scene.env.step(pending.pop(0)) + t += 1 + if done: + success = True + break + + return success, model_steps diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/sanity.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/sanity.py new file mode 100644 index 00000000..04dd25ca --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/sanity.py @@ -0,0 +1,58 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Headless sanity rollout for the LIBERO simulator base image. + +Loads a policy (default: built-in RandomPolicy), rolls it through one scene for a +bounded number of steps, and saves an MP4 of the composed agentview|wrist view. Proves +the ROCm/EGL render + MuJoCo step + video encode path work end-to-end with no model. + +Env: SUITE, TASK_ID, SEED, STEPS, OUT_DIR, POLICY_FACTORY (module:function). +""" +import os +from datetime import datetime + +from sim_libero.envutil import env_int, env_str +from sim_libero.policy import load_policy +from sim_libero.render import banner_frame, compose_view, save_mp4 +from sim_libero.rollout import run_episode +from sim_libero.scene import build_scene + + +def main(): + suite = env_str("SUITE", "libero_object") + task_id = env_int("TASK_ID", 0) + seed = env_int("SEED", 1000) + steps = env_int("STEPS", 80) + out_dir = env_str("OUT_DIR", "/sim_outputs") + os.makedirs(out_dir, exist_ok=True) + + print(f"[sanity] building scene {suite}/{task_id} (seed={seed}) ...", flush=True) + scene = build_scene(suite, task_id, seed=seed) + print(f"[sanity] scene ready: \"{scene.description}\"", flush=True) + + policy = load_policy() + print(f"[sanity] policy: {getattr(policy, 'name', type(policy).__name__)}", flush=True) + + frames = [] + + def on_frame(imgs, step, holding): + frames.append(banner_frame(compose_view(imgs), f"{policy.name}: {scene.description}", 640)) + + success, model_steps = run_episode( + scene, policy, scene.description, on_frame=on_frame, max_steps=steps + ) + + ts = datetime.now().strftime("%H%M%S") + path = os.path.join(out_dir, f"sanity_{suite}_{task_id}_{ts}.mp4") + if frames: + save_mp4(frames, path, fps=20) + print(f"[sanity] OK: {len(frames)} frames, {model_steps} model calls, success={success}", flush=True) + print(f"[sanity] saved {path}", flush=True) + else: + raise RuntimeError("no frames rendered") + + scene.close() + + +if __name__ == "__main__": + main() diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero/scene.py b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/scene.py new file mode 100644 index 00000000..4bd5fade --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero/scene.py @@ -0,0 +1,104 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""LIBERO scene wrapper for the interactive/sanity harness (model-agnostic). + +Builds a single OffScreenRenderEnv for a (suite, task_id) via the vendored glue and +exposes the scene's native instruction, initial state, and object list. No policy or +model code here. +""" +import numpy as np + +from sim_libero._torch_compat import patch_torch_load +from sim_libero.libero_env import ( + LIBERO_ENV_RESOLUTION, + get_benchmark_dict, + get_libero_env, + get_libero_image, +) + + +class Scene: + def __init__(self, suite, task_id, seed=1000, resolution=LIBERO_ENV_RESOLUTION): + self.suite = suite + self.task_id = int(task_id) + self.seed = int(seed) + self.resolution = int(resolution) + + # Re-assert the torch.load shim at the point of use: LIBERO's get_task_init_states() loads + # numpy-pickled init states, which torch>=2.6 rejects under the new weights_only=True + # default. The package-level patch can be clobbered by heavy model-load imports that run + # before a scene is built (e.g. loading the FastWAM policy), so patch again right here. + patch_torch_load() + + benchmark_dict = get_benchmark_dict() + task_suite = benchmark_dict[suite]() + self.task = task_suite.get_task(self.task_id) + self.init_states = task_suite.get_task_init_states(self.task_id) + self.env, self.description = get_libero_env(self.task, self.resolution, self.seed) + self.objects = self._list_objects() + + def _list_objects(self): + """Best-effort manipulable-object names for the viewport panel. + + Tries the benchmark task's declared objects of interest, then falls back to parsing + the task's BDDL `(:objects ...)` block (instance names like `akita_black_bowl_1`, + normalised to `akita black bowl`). Cosmetic only, so any failure yields []. + """ + try: + names = list(getattr(self.task, "object_of_interest", []) or []) + if names: + return self._clean_names(names) + except Exception: + pass + try: + import pathlib + import re + + from sim_libero.libero_env import get_libero_path + + bddl = (pathlib.Path(get_libero_path("bddl_files")) + / self.task.problem_folder / self.task.bddl_file) + block = re.search(r"\(:objects(.*?)\)", bddl.read_text(), re.S) + names = [] + if block: + for line in block.group(1).splitlines(): + line = line.strip() + if not line or line.startswith(";"): + continue + names.extend(line.split(" - ")[0].split()) + if names: + return self._clean_names(names) + except Exception: + pass + return [] + + @staticmethod + def _clean_names(names): + import re + seen, out = set(), [] + for n in names: + base = re.sub(r"_\d+$", "", str(n)).replace("_", " ").strip() + if base and base not in seen: + seen.add(base) + out.append(base) + return out + + def reset(self): + """Reset to the task's first initial state; returns the raw obs dict.""" + self.env.reset() + idx = 0 if len(self.init_states) else None + obs = self.env.set_init_state(self.init_states[idx]) if idx is not None else self.env.reset() + return obs + + def view(self, obs): + return get_libero_image(obs) + + def close(self): + try: + self.env.close() + except Exception: + pass + + +def build_scene(suite, task_id, seed=1000, resolution=LIBERO_ENV_RESOLUTION): + return Scene(suite, task_id, seed=seed, resolution=resolution) diff --git a/dockerfiles/Courses/Finetuning/fastwam/sim_libero_compat.pth b/dockerfiles/Courses/Finetuning/fastwam/sim_libero_compat.pth new file mode 100644 index 00000000..759f14ad --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/sim_libero_compat.pth @@ -0,0 +1 @@ +import sys; exec("try:\n import os\n if os.path.isdir('/opt/sim') and '/opt/sim' not in sys.path: sys.path.insert(0, '/opt/sim')\n import sim_libero._torch_compat as _c; _c.patch_torch_load()\nexcept Exception: pass") diff --git a/dockerfiles/Courses/Finetuning/fastwam/strip_cuda_torch.py b/dockerfiles/Courses/Finetuning/fastwam/strip_cuda_torch.py new file mode 100644 index 00000000..b8f66354 --- /dev/null +++ b/dockerfiles/Courses/Finetuning/fastwam/strip_cuda_torch.py @@ -0,0 +1,35 @@ +# Copyright(C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Strip the CUDA torch stack + numpy pins from FastWAM's pyproject so `pip install -e .` +cannot pull cu128 wheels over the base image's ROCm torch build, nor force a numpy +downgrade that conflicts with the base image's numpy. + +Removes any dependency line for torch / torchvision / torchcodec / numpy; the base image's +versions are then held via the PIP_CONSTRAINT pin in the Dockerfile (see the "Pin the base's +torch + numpy" note there). This lets the one FastWAM layer compose on a numpy-1.26 simulator +base and on a numpy-2.x plain ROCm base identically. Everything else (the exact upstream pins) +is preserved so the direct port stays faithful. +""" +import re +import sys +from pathlib import Path + +STRIP = ("torch", "torchvision", "torchcodec", "numpy") + + +def main() -> int: + path = Path(sys.argv[1] if len(sys.argv) > 1 else "pyproject.toml") + pat = re.compile(r'^\s*"(' + "|".join(STRIP) + r')\s*[=<>!~]') + kept, removed = [], [] + for line in path.read_text().splitlines(): + if pat.match(line): + removed.append(line.strip()) + else: + kept.append(line) + path.write_text("\n".join(kept) + "\n") + print("stripped CUDA torch pins:", removed or "(none found)") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/projects/Finetuning/inference_fastwam_libero.ipynb b/projects/Finetuning/inference_fastwam_libero.ipynb new file mode 100644 index 00000000..e352159c --- /dev/null +++ b/projects/Finetuning/inference_fastwam_libero.ipynb @@ -0,0 +1,294 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# FastWAM - LIBERO world-action model (interactive + imagination)\n", + "\n", + "Standalone demo of **FastWAM** - a *world-action* model built on **Wan2.2-TI2V-5B** (a T5 text\n", + "encoder, a Wan video VAE, and a video+action diffusion transformer) - driving the **LIBERO**\n", + "simulator, rendered **inline, right here in the notebook**. Nothing to train and nothing to\n", + "download: the model weights and a few ground-truth episodes are already baked into this image.\n", + "\n", + "Two things happen below, both on the **fast route** our AMD Strix Halo port ships:\n", + "\n", + "1. **Interactive simulator (fast action route).** Exactly like the MolmoAct2 interactive demo, but\n", + " driven by FastWAM. From the current camera view + robot state + your instruction, the model\n", + " *plans a short action chunk* (`infer_action`), the simulator executes it, then it re-plans - the\n", + " same receding-horizon closed loop as the shipped LIBERO eval. Type an instruction, press\n", + " **Send**, and watch the arm act; the status line shows the live per-plan latency.\n", + "\n", + "2. **Video imagination - what the model \\\"dreams\\\".** FastWAM is a *world* model, so on its joint\n", + " route (`infer_joint`) it can roll the future **video** forward as well as the actions. We imagine\n", + " **two full episodes from two different tasks** as receding-horizon rollouts and show **ground\n", + " truth on the left, FastWAM's imagined future on the right** so you can compare.\n", + "\n", + "Same self-contained style as the other notebooks: the sim's small web UI is served inside your\n", + "session and proxied through your JupyterHub route (`jupyter-server-proxy`), so there is **no extra\n", + "port to forward**. FastWAM runs in its own isolated environment (`/opt/fastwam-venv`), kept separate\n", + "from the MolmoAct2 training environment.\n", + "\n", + "**Baked assets:** BF16 checkpoint + Wan2.2 base under `/opt/fastwam-assets` (resolved automatically\n", + "below). **Knobs (env):** `SUITE=libero_object`, `TASK_ID=0`, `EPISODES=47,273` (the two imagined\n", + "episodes), `NUM_STEPS=20`, `RT_PORT=8080`." + ], + "id": "b8e61982" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import os\n", + "import subprocess\n", + "import json\n", + "import time\n", + "import urllib.request\n", + "\n", + "# Quiet ROCm/torch spam in any child process we spawn.\n", + "os.environ.setdefault(\"TORCH_BLAS_PREFER_HIPBLASLT\", \"0\")\n", + "os.environ.setdefault(\"PYTHONWARNINGS\", \"ignore\")\n", + "\n", + "OUT_DIR = os.environ.get(\"OUT_DIR\", \"/home/jovyan/outputs\")\n", + "os.makedirs(OUT_DIR, exist_ok=True)\n", + "\n", + "# FastWAM runs in its OWN isolated venv (the numpy-1.26.4 LIBERO sim stack + ROCm torch), separate\n", + "# from the MolmoAct2 train-venv, and on its OWN LIBERO config path so the two never clash.\n", + "FASTWAM_PY = os.path.join(os.environ.get(\"FASTWAM_VENV\", \"/opt/fastwam-venv\"), \"bin\", \"python\")\n", + "LIBERO_CONFIG_PATH_FASTWAM = os.environ.get(\"LIBERO_CONFIG_PATH_FASTWAM\", \"/opt/libero-config-fastwam\")\n", + "\n", + "# Baked weight/data locations (set in the image; overridable via env). The checkpoint and the\n", + "# Wan2.2 base are already BF16 - the production precision the fast route runs in.\n", + "RELEASE_DIR = os.environ.get(\"FASTWAM_RELEASE_DIR\", \"/opt/fastwam-assets/fastwam_release\")\n", + "DATA_DIR = os.environ.get(\"FASTWAM_DATA_DIR\", \"/opt/fastwam-assets/data\")\n", + "DIFFSYNTH = os.environ.get(\"DIFFSYNTH_MODEL_BASE_PATH\", \"/opt/fastwam-assets/diffsynth\")\n", + "CKPT = os.environ.get(\"CKPT\") or os.path.join(RELEASE_DIR, \"libero_uncond_2cam224.pt\")\n", + "DATASET_STATS = os.environ.get(\"DATASET_STATS\") or os.path.join(\n", + " RELEASE_DIR, \"libero_uncond_2cam224_dataset_stats.json\")\n", + "\n", + "\n", + "# Subprocesses (the sim server / videogen) get a clean env: drop the notebook's inline matplotlib\n", + "# backend (crashes headless children), force plain hipBLAS + unbuffered output, run against the\n", + "# fastwam venv's LIBERO config, and select the FastWAM policy for the model-agnostic sim harness.\n", + "def child_env(**extra):\n", + " e = dict(os.environ)\n", + " e.pop(\"MPLBACKEND\", None)\n", + " e.update({\n", + " \"TORCH_BLAS_PREFER_HIPBLASLT\": \"0\", \"PYTHONWARNINGS\": \"ignore\", \"PYTHONUNBUFFERED\": \"1\",\n", + " \"LIBERO_CONFIG_PATH\": LIBERO_CONFIG_PATH_FASTWAM,\n", + " \"POLICY_FACTORY\": \"fastwam_libero_policy:build_policy\",\n", + " \"CKPT\": CKPT, \"DATASET_STATS\": DATASET_STATS,\n", + " })\n", + " e.update({k: str(v) for k, v in extra.items()})\n", + " return e\n", + "\n", + "\n", + "# Fail early with a clear message if the assets aren't present (e.g. a code-only image without the\n", + "# baked weights). In the workshop image these are all baked in under /opt/fastwam-assets.\n", + "_missing = [p for p in (CKPT, DATASET_STATS, DIFFSYNTH) if not os.path.exists(p)]\n", + "if _missing:\n", + " raise FileNotFoundError(\n", + " \"FastWAM assets not found:\\n \" + \"\\n \".join(_missing) +\n", + " \"\\nThis notebook expects the with-assets workshop image (weights baked under \"\n", + " \"/opt/fastwam-assets). Organizers: build with the fastwam bundle (see ORGANIZER.md).\"\n", + " )\n", + "print(\"FastWAM assets OK\")\n", + "print(\" checkpoint :\", CKPT)\n", + "print(\" dataset stats :\", DATASET_STATS)\n", + "print(\" Wan2.2 base :\", DIFFSYNTH)\n", + "print(\" GT episodes :\", DATA_DIR)\n", + "print(\" interpreter :\", FASTWAM_PY)" + ], + "execution_count": null, + "outputs": [], + "id": "fe40c621" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Interactive LIBERO simulator (fast action route)\n", + "\n", + "Run the cell below, wait for the model to load (the first run JIT-compiles GPU kernels - it can take\n", + "a couple of minutes), then the live sim appears inline. Pick a task from the **environment**\n", + "dropdown, type an instruction, and press **Send**. The status line shows the step count and the\n", + "live **per-plan latency** (the fast `infer_action` time). This is the default, fastest route." + ], + "id": "b8190539" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "from IPython.display import IFrame, display\n", + "\n", + "# Internal port inside your pod; reached only through the authenticated JupyterHub proxy (never\n", + "# exposed directly). The server binds 0.0.0.0:RT_PORT; jupyter-server-proxy forwards\n", + "# {JUPYTERHUB_SERVICE_PREFIX}/proxy/RT_PORT/ -> 127.0.0.1:RT_PORT.\n", + "RT_PORT = os.environ.get(\"RT_PORT\", \"8080\")\n", + "SIM_SERVER = \"/ryzers/notebooks/scripts/interactive_server_fastwam.py\"\n", + "\n", + "# Stop a server started by a previous run of this cell.\n", + "try:\n", + " if globals().get(\"_sim\") and _sim.poll() is None:\n", + " _sim.terminate()\n", + " _sim.wait(timeout=5)\n", + "except Exception:\n", + " pass\n", + "\n", + "# Serve the FastWAM policy on the fast action route. Stream server logs to a file so the notebook\n", + "# kernel never blocks on a full stdout pipe while the sim runs.\n", + "sim_env = child_env(\n", + " PORT=RT_PORT,\n", + " SUITE=os.environ.get(\"SUITE\", \"libero_object\"),\n", + " TASK_ID=os.environ.get(\"TASK_ID\", \"0\"),\n", + ")\n", + "_log_path = os.path.join(OUT_DIR, \"interactive_fastwam.log\")\n", + "_log = open(_log_path, \"w\")\n", + "_sim = subprocess.Popen([FASTWAM_PY, SIM_SERVER], env=sim_env, stdout=_log, stderr=subprocess.STDOUT)\n", + "print(f\"FastWAM sim server started (pid {_sim.pid}); loading T5 + VAE + DiT ...\")\n", + "print(\"(first run JIT-compiles ROCm kernels; this can take a few minutes)\")\n", + "\n", + "\n", + "def _sim_status():\n", + " try:\n", + " with urllib.request.urlopen(f\"http://127.0.0.1:{RT_PORT}/status\", timeout=3) as r:\n", + " return json.load(r)\n", + " except Exception:\n", + " return None\n", + "\n", + "\n", + "ready, deadline = False, time.time() + 1200\n", + "while time.time() < deadline:\n", + " if _sim.poll() is not None:\n", + " print(\"\\nserver exited early; tail of log:\")\n", + " print(\"\".join(open(_log_path).readlines()[-25:]))\n", + " break\n", + " s = _sim_status()\n", + " if s:\n", + " print(\" \" + str(s.get(\"status\", \"\"))[:96], end=\"\\r\")\n", + " if s.get(\"mode\") in (\"idle\", \"running\"):\n", + " ready = True\n", + " break\n", + " if s.get(\"mode\") == \"error\":\n", + " print(\"\\nserver error:\", s.get(\"status\"))\n", + " print(\"\".join(open(_log_path).readlines()[-25:]))\n", + " break\n", + " time.sleep(3)\n", + "\n", + "prefix = os.environ.get(\"JUPYTERHUB_SERVICE_PREFIX\", \"\").rstrip(\"/\")\n", + "sim_url = f\"{prefix}/proxy/{RT_PORT}/\" if prefix else f\"http://localhost:{RT_PORT}/\"\n", + "if ready:\n", + " print(f\"\\nready - interactive FastWAM sim embedded below (also open in a tab: {sim_url})\")\n", + " display(IFrame(sim_url, width=\"100%\", height=860))\n", + "else:\n", + " print(f\"\\nserver not ready yet; wait a moment and re-run this cell. URL: {sim_url}\")" + ], + "execution_count": null, + "outputs": [], + "id": "18060210" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Video imagination - what the model \"dreams\"\n", + "\n", + "FastWAM is a **world** model, so it can imagine the *future video*, not just the next actions. The\n", + "cell below imagines **two full episodes from two different LIBERO-Object tasks** - the *bbq sauce*\n", + "pick and the *milk* pick - and shows **ground truth (left) vs FastWAM's imagination (right)** side\n", + "by side, for the entire episode.\n", + "\n", + "To cover a whole episode (not just one 32-step chunk) it runs `infer_joint` as a **receding-horizon\n", + "rollout**: each call imagines the next horizon of video+actions from the real observation at that\n", + "step, and the segments are stitched into one full-length clip - the same receding-horizon loop the\n", + "shipped LIBERO eval uses.\n", + "\n", + "This is the heavier route (a full video diffusion per horizon), so the cell first **stops the live\n", + "sim above** to free the GPU, and the **first horizon JIT-compiles ROCm kernels** (a few minutes;\n", + "each subsequent horizon is far faster). Knobs: `EPISODES=\"47,273\"` picks the two episodes (any\n", + "episode indices; different tasks live at different indices), `NUM_STEPS` trades speed for quality,\n", + "`MAX_STEPS_PER_EPISODE` caps length if you want a quicker preview." + ], + "id": "98b1cd2b" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "from IPython.display import Video, HTML, display\n", + "\n", + "# Free the GPU: stop the interactive sim (both would otherwise hold a full model copy in memory).\n", + "try:\n", + " if globals().get(\"_sim\") and _sim.poll() is None:\n", + " print(\"stopping the live sim to free the GPU for imagination ...\")\n", + " _sim.terminate()\n", + " _sim.wait(timeout=10)\n", + "except Exception:\n", + " pass\n", + "\n", + "VIDEOGEN = \"/ryzers/notebooks/scripts/fastwam_videogen.py\"\n", + "# Two DIFFERENT tasks, rendered as FULL episodes (receding-horizon rollouts, not a single chunk):\n", + "# ep47 = \"pick up the bbq sauce...\", ep273 = \"pick up the milk...\". Override via EPISODES=\"e0,e1\".\n", + "gen_env = child_env(\n", + " EPISODES=os.environ.get(\"EPISODES\", \"47,273\"),\n", + " NUM_STEPS=os.environ.get(\"NUM_STEPS\", \"20\"),\n", + " TAG=os.environ.get(\"SUITE\", \"libero_object\"),\n", + ")\n", + "print(\"imagining FULL episodes for two tasks (loads the model, then runs the joint video+action\")\n", + "print(\"route as a receding-horizon rollout over each whole episode)...\")\n", + "print(\"the first horizon JIT-warms ROCm kernels, so this takes a few minutes.\\n\")\n", + "\n", + "# Stream the backend's output live and pick up the machine-parseable lines it prints per clip.\n", + "proc = subprocess.Popen([FASTWAM_PY, VIDEOGEN], env=gen_env,\n", + " stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, bufsize=1)\n", + "mp4s, summary = [], None\n", + "for line in proc.stdout:\n", + " line = line.rstrip()\n", + " if line.startswith(\"VIDEOGEN_MP4=\"):\n", + " mp4s.append(line.split(\"=\", 1)[1])\n", + " elif line.startswith(\"VIDEOGEN_SUMMARY=\"):\n", + " try:\n", + " summary = json.loads(line.split(\"=\", 1)[1])\n", + " except Exception:\n", + " pass\n", + " else:\n", + " print(line)\n", + "proc.wait()\n", + "\n", + "clip_task = {c[\"mp4\"]: c for c in (summary.get(\"clips\", []) if summary else [])}\n", + "if summary:\n", + " print(f\"\\njoint-path latency ({summary['num_inference_steps']} steps): first horizon \"\n", + " f\"{summary['joint_latency_s_first_warmup']:.1f}s (JIT warmup), then \"\n", + " f\"~{summary['joint_latency_s_mean_steady']:.1f}s per horizon\")\n", + "for i, mp4 in enumerate(mp4s):\n", + " if os.path.exists(mp4):\n", + " c = clip_task.get(mp4, {})\n", + " task = c.get(\"task\", f\"clip {i}\")\n", + " meta = f\" — {c['frames']} frames, {c['windows']} horizons\" if c else \"\"\n", + " display(HTML(f\"Full episode — {task}
    \"\n", + " f\"ground truth (left) vs FastWAM imagined (right){meta}\"))\n", + " display(Video(mp4, embed=True, width=900))\n", + " else:\n", + " print(\"missing clip:\", mp4)\n", + "if not mp4s:\n", + " print(\"no clips produced - check the log above.\")" + ], + "execution_count": null, + "outputs": [], + "id": "f71fa59d" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/projects/Finetuning/scripts/fastwam_smoke.py b/projects/Finetuning/scripts/fastwam_smoke.py new file mode 100644 index 00000000..30e0045a --- /dev/null +++ b/projects/Finetuning/scripts/fastwam_smoke.py @@ -0,0 +1,122 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Full-model GPU smoke for FastWAM (Wan2.2-TI2V-5B) on AMD Strix Halo (gfx1151). + +Builds the real FastWAM model via the upstream hydra config, loads the released bf16 LIBERO +checkpoint, and runs ONE fast-route `infer_action` on a synthetic observation to prove the whole +flow-matching action path executes end-to-end on ROCm. No simulator/dataset needed. Reports +first-call (one-time ROCm kernel-JIT + autotune warmup) and steady-state latency + peak VRAM. +Exits non-zero on any failure so the ORGANIZER offline check / CI catches a broken image. + +Env (baked-image defaults): FASTWAM_REPO (/repos/fastwam), CONFIG_NAME (sim_libero), +CKPT ($FASTWAM_RELEASE_DIR/libero_uncond_2cam224.pt), NUM_STEPS (20), PROMPT. +Run with the fastwam venv: /opt/fastwam-venv/bin/python scripts/fastwam_smoke.py +""" +import os +import sys +import time + +import numpy as np +import torch + +FASTWAM_REPO = os.environ.get("FASTWAM_REPO", "/repos/fastwam") +RELEASE_DIR = os.environ.get("FASTWAM_RELEASE_DIR", "/opt/fastwam-assets/fastwam_release") +CKPT = os.environ.get("CKPT") or os.path.join(RELEASE_DIR, "libero_uncond_2cam224.pt") +CONFIG_NAME = os.environ.get("CONFIG_NAME", "sim_libero") +NUM_STEPS = int(os.environ.get("NUM_STEPS") or "20") # upstream infer_action default +PROMPT = os.environ.get("PROMPT", "pick up the object and place it") + + +def _compose_cfg(): + from omegaconf import OmegaConf + from hydra import compose, initialize_config_dir + from hydra.core.global_hydra import GlobalHydra + for name, fn in (("eval", eval), ("max", lambda x: max(x)), + ("split", lambda s, idx: s.split("/")[int(idx)])): + try: + OmegaConf.register_new_resolver(name, fn, replace=True) + except Exception: + pass + GlobalHydra.instance().clear() + with initialize_config_dir(config_dir=os.path.join(FASTWAM_REPO, "configs"), version_base="1.3"): + return compose(config_name=CONFIG_NAME, overrides=[f"ckpt={CKPT}"]) + + +def main() -> int: + print(f"torch : {torch.__version__} hip={torch.version.hip}") + if not torch.version.hip: + print("FAIL: torch is not a ROCm build.", file=sys.stderr) + return 1 + if not torch.cuda.is_available(): + print("FAIL: no ROCm device visible (check /dev/kfd, /dev/dri).", file=sys.stderr) + return 1 + print(f"device[0] : {torch.cuda.get_device_name(0)}") + + if FASTWAM_REPO not in sys.path: + sys.path.insert(0, FASTWAM_REPO) + if not os.path.exists(CKPT): + print(f"FAIL: checkpoint not found: {CKPT}\n" + f" bake the FastWAM assets (with-assets image) or mount them.", file=sys.stderr) + return 1 + + from hydra.utils import instantiate + cfg = _compose_cfg() + + video_size = list(cfg.data.train.video_size) + height, width = int(video_size[0]), int(video_size[1]) + num_frames = int(cfg.data.train.num_frames) + action_horizon = num_frames - 1 + proprio_dim = int(cfg.data.train.processor.proprio_output_dim) + action_dim = int(cfg.data.train.processor.action_output_dim) + print(f"config : {CONFIG_NAME} HxW={height}x{width} " + f"action_horizon={action_horizon} proprio_dim={proprio_dim} action_dim={action_dim}") + + t0 = time.time() + model = instantiate(cfg.model, model_dtype=torch.bfloat16, device="cuda") + model.load_checkpoint(str(CKPT)) + model = model.to("cuda").eval() + n_params = sum(p.numel() for p in model.parameters()) + print(f"model loaded : {time.time() - t0:.1f}s params={n_params / 1e9:.2f}B") + + image = (torch.rand(1, 3, height, width) * 2.0 - 1.0) + proprio = torch.zeros(1, proprio_dim) + + def _run(): + with torch.no_grad(): + return model.infer_action( + prompt=PROMPT, input_image=image, action_horizon=action_horizon, + proprio=proprio, num_inference_steps=NUM_STEPS, seed=0, rand_device="cpu", + ) + + def _sync(): + if torch.cuda.is_available(): + torch.cuda.synchronize() + + _sync(); t0 = time.time(); _run(); _sync() + cold_ms = (time.time() - t0) * 1000.0 + if torch.cuda.is_available(): + torch.cuda.reset_peak_memory_stats() + _sync(); t1 = time.time(); out = _run(); _sync() + warm_ms = (time.time() - t1) * 1000.0 + + action = out["action"].detach().to(dtype=torch.float32, device="cpu").numpy() + if action.ndim == 3 and action.shape[0] == 1: + action = action[0] + peak_gb = (torch.cuda.max_memory_allocated() / 1e9) if torch.cuda.is_available() else 0.0 + print(f"infer_action : {action.shape} (steps={NUM_STEPS})") + print(f" first-call : {cold_ms:.0f} ms (incl. one-time ROCm warmup)") + print(f" steady-state : {warm_ms:.0f} ms peak={peak_gb:.1f} GB") + + if action.ndim != 2 or action.shape[-1] != action_dim: + print(f"FAIL: expected (T, {action_dim}) action chunk, got {action.shape}", file=sys.stderr) + return 1 + if not np.isfinite(action).all(): + print("FAIL: non-finite actions.", file=sys.stderr) + return 1 + + print("PASS: FastWAM full-model ROCm smoke OK") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/projects/Finetuning/scripts/fastwam_videogen.py b/projects/Finetuning/scripts/fastwam_videogen.py new file mode 100644 index 00000000..b47af2cc --- /dev/null +++ b/projects/Finetuning/scripts/fastwam_videogen.py @@ -0,0 +1,301 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""FastWAM video imagination (joint path) for notebook 3 - FULL EPISODES, two different tasks. + +Runs FastWAM's joint video+action denoising route (`FastWAM.infer_joint`) as a receding-horizon +rollout over the WHOLE episode (not a single 32-step chunk), for TWO genuinely different LIBERO +tasks, then writes one two-column MP4 per episode: ground-truth video (left) vs FastWAM imagined +(right) - the "what the model dreams" view (workshop rule 2.a: GT left, prediction right). + +How a full episode is imagined +------------------------------ +Each `infer_joint` call conditions on ONE start frame + ONE proprio vector and emits +`num_video_frames` video frames spanning one `action_horizon` (= num_frames-1) worth of actions, +sub-sampled by `action_video_freq_ratio` (so 33-frame / 32-action horizons -> 9 video frames). To +cover a full episode (~120-250 steps) we step the horizon window forward by `action_horizon` steps +and re-anchor each window on the real observation at that step - exactly the receding-horizon loop +the shipped LIBERO eval uses - concatenating the imagined segments into one full-length clip. This +re-grounds every horizon on ground truth (no unbounded drift) while still showing the model's +imagination across the entire task. + +Two different tasks +------------------- +The baked dataset is LIBERO-Object (10 "pick up the and place it in the basket" tasks). We +default to two visually/semantically distinct ones - the BBQ-sauce pick and the milk pick - selected +by their first episode index. Override with `EPISODES=,,...`. + +This is a subprocess backend for the notebook: it runs in the isolated /opt/fastwam-venv and prints +one `VIDEOGEN_MP4=` line per finished EPISODE plus a final `VIDEOGEN_SUMMARY=` line the +notebook parses to embed the clips inline. + +Env (all have baked-image defaults): + FASTWAM_REPO /repos/fastwam CONFIG_NAME sim_libero + CKPT $FASTWAM_RELEASE_DIR/libero_uncond_2cam224.pt + DATASET_STATS $FASTWAM_RELEASE_DIR/libero_uncond_2cam224_dataset_stats.json + DATASET_DIR $FASTWAM_DATA_DIR/libero_object_no_noops_lerobot + EPISODES "47,273" (bbq sauce, milk) NUM_STEPS 20 SEED 0 FPS 6 + MAX_STEPS_PER_EPISODE 0 (0 = full episode) OUT_DIR /outputs TAG libero_object +""" +import json +import os +import sys +import time + +import numpy as np +import torch +import imageio +from PIL import Image, ImageDraw + +FASTWAM_REPO = os.environ.get("FASTWAM_REPO", "/repos/fastwam") +CONFIG_NAME = os.environ.get("CONFIG_NAME", "sim_libero") +RELEASE_DIR = os.environ.get("FASTWAM_RELEASE_DIR", "/opt/fastwam-assets/fastwam_release") +DATA_DIR_BASE = os.environ.get("FASTWAM_DATA_DIR", "/opt/fastwam-assets/data") +CKPT = os.environ.get("CKPT") or os.path.join(RELEASE_DIR, "libero_uncond_2cam224.pt") +DATASET_STATS = os.environ.get("DATASET_STATS") or os.path.join( + RELEASE_DIR, "libero_uncond_2cam224_dataset_stats.json") +DATASET_DIR = os.environ.get("DATASET_DIR") or os.path.join( + DATA_DIR_BASE, "libero_object_no_noops_lerobot") +# Two DIFFERENT tasks by first-episode index: bbq sauce (ep47), milk (ep273). Override with EPISODES. +EPISODES = os.environ.get("EPISODES", "47,273") +NUM_STEPS = int(os.environ.get("NUM_STEPS") or "20") +SEED = int(os.environ.get("SEED") or "0") +FPS = int(os.environ.get("FPS") or "6") +MAX_STEPS_PER_EPISODE = int(os.environ.get("MAX_STEPS_PER_EPISODE") or "0") # 0 = full episode +OUT_DIR = os.environ.get("OUT_DIR", "/outputs") +TAG = os.environ.get("TAG", "libero_object") + + +def _compose_cfg(): + from omegaconf import OmegaConf + from hydra import compose, initialize_config_dir + from hydra.core.global_hydra import GlobalHydra + for name, fn in (("eval", eval), ("max", lambda x: max(x)), + ("split", lambda s, idx: s.split("/")[int(idx)])): + try: + OmegaConf.register_new_resolver(name, fn, replace=True) + except Exception: + pass + GlobalHydra.instance().clear() + with initialize_config_dir(config_dir=os.path.join(FASTWAM_REPO, "configs"), version_base="1.3"): + return compose(config_name=CONFIG_NAME, overrides=[f"ckpt={CKPT}"]) + + +def _build_dataset(cfg): + from hydra.utils import instantiate + import fastwam.datasets.lerobot.robot_video_dataset as rvd + from fastwam.utils import misc + + def _stub_text_context(self, prompt): + return torch.zeros(self.context_len, 8), torch.ones(self.context_len, dtype=torch.bool) + rvd.RobotVideoDataset._get_cached_text_context = _stub_text_context + try: + misc.get_work_dir = lambda *a, **k: "/tmp" + except Exception: + pass + + return instantiate( + cfg.data.train, + dataset_dirs=[DATASET_DIR], + is_training_set=False, + val_set_proportion=0.0, + pretrained_norm_stats=DATASET_STATS, + skip_padding_as_possible=False, + ) + + +def _episode_tasks(): + """episode_index -> task string, from the dataset's meta/episodes.jsonl (if present).""" + out = {} + p = os.path.join(DATASET_DIR, "meta", "episodes.jsonl") + if os.path.exists(p): + for line in open(p): + try: + d = json.loads(line) + except Exception: + continue + t = d.get("tasks") or d.get("task") + if isinstance(t, list): + t = t[0] if t else None + out[int(d["episode_index"])] = t + return out + + +def _slug(text, n=40): + keep = "".join(c if (c.isalnum() or c == " ") else " " for c in (text or "clip")) + return "_".join(keep.split())[:n] or "clip" + + +def _video_tensor_to_frames(video): + """[C, T, H, W] in [-1,1] -> list of uint8 HxWx3 numpy frames.""" + v = video.detach().float().clamp(-1, 1) + v = ((v + 1.0) * 127.5).to(torch.uint8).cpu().numpy() # [C, T, H, W] + return [np.ascontiguousarray(v[:, t].transpose(1, 2, 0)) for t in range(v.shape[1])] + + +def _to_rgb(frame): + if isinstance(frame, Image.Image): + return np.array(frame.convert("RGB")) + return np.asarray(frame)[..., :3] + + +def _label(img, text): + pil = Image.fromarray(img.astype(np.uint8)) + ImageDraw.Draw(pil).text((6, 6), text, fill=(255, 255, 0)) + return np.array(pil) + + +def _stitch(gt, gen): + if gt.shape[:2] != gen.shape[:2]: + gt = np.array(Image.fromarray(gt).resize((gen.shape[1], gen.shape[0]), Image.BILINEAR)) + left = _label(gt, "ground truth") + right = _label(gen, "FastWAM imagined") + return np.concatenate([left, right], axis=1) + + +def _rollout_episode(model, ds, f0, L, num_video_frames, action_horizon, ratio): + """Receding-horizon imagination over one full episode. + + Steps the horizon window forward by `action_horizon` actions, re-anchoring each window on the + ground-truth observation at that step. Returns (stitched_frames, action_mae, latencies, prompt). + """ + stitched, gt_all_a, pr_all_a, lats = [], [], [], [] + t = 0 + prompt = None + while t < L: + sample = ds[int(f0 + t)] + if prompt is None: + prompt = sample["prompt"] + gt_frames = _video_tensor_to_frames(sample["video"]) # NVF GT frames for this horizon + input_image = sample["video"][:, 0].unsqueeze(0).to("cuda", dtype=model.torch_dtype) + proprio = sample["proprio"][0:1].to("cuda", dtype=model.torch_dtype) + + t1 = time.time() + with torch.no_grad(): + out = model.infer_joint( + prompt=prompt, input_image=input_image, + num_video_frames=num_video_frames, action_horizon=action_horizon, + proprio=proprio, num_inference_steps=NUM_STEPS, seed=SEED, + rand_device="cpu", test_action_with_infer_action=False, + ) + lat = time.time() - t1 + lats.append(lat) + gen_frames = [_to_rgb(f) for f in out["video"]] + + is_last = (t + action_horizon) >= L + if is_last: + ka = L - t # actions remaining + kv = min(num_video_frames, (ka + ratio - 1) // ratio) # video frames covering them + else: + ka = action_horizon # non-overlapping stride + kv = num_video_frames - 1 # drop the shared boundary frame + + tt = min(kv, len(gt_frames), len(gen_frames)) + for i in range(tt): + stitched.append(_stitch(gt_frames[i], gen_frames[i])) + + gt_a = sample["action"].float().cpu().numpy() + pr_a = out["action"].float().cpu().numpy() + na = min(ka, gt_a.shape[0], pr_a.shape[0]) + gt_all_a.append(gt_a[:na]) + pr_all_a.append(pr_a[:na]) + + win = t // action_horizon + 1 + nwin = (L + action_horizon - 1) // action_horizon + print(f" [window {win}/{nwin}] steps {t:3d}-{min(t+action_horizon, L):3d} " + f"frames={tt} joint_latency={lat:.2f}s", flush=True) + t += action_horizon + + gt_cat = np.concatenate(gt_all_a, axis=0) if gt_all_a else np.zeros((1, 1)) + pr_cat = np.concatenate(pr_all_a, axis=0) if pr_all_a else np.zeros((1, 1)) + mae = float(np.abs(pr_cat - gt_cat).mean()) + return stitched, mae, lats, prompt + + +def main() -> int: + dev = torch.cuda.get_device_name(0) if torch.cuda.is_available() else "cpu" + print(f"torch {torch.__version__} hip={torch.version.hip} device={dev}", flush=True) + for p, what in ((CKPT, "checkpoint"), (DATASET_STATS, "dataset stats"), (DATASET_DIR, "GT dataset")): + if not os.path.exists(p): + print(f"FAIL: missing {what}: {p}", file=sys.stderr) + return 1 + + if FASTWAM_REPO not in sys.path: + sys.path.insert(0, FASTWAM_REPO) + from hydra.utils import instantiate + cfg = _compose_cfg() + num_frames = int(cfg.data.train.num_frames) + ratio = int(cfg.data.train.action_video_freq_ratio) + action_horizon = num_frames - 1 + num_video_frames = (num_frames - 1) // ratio + 1 # eval-aligned: 33/4 -> 9 video frames + print(f"num_frames={num_frames} action_horizon={action_horizon} " + f"num_video_frames={num_video_frames} ratio={ratio} steps={NUM_STEPS}", flush=True) + + t0 = time.time() + model = instantiate(cfg.model, model_dtype=torch.bfloat16, device="cuda") + model.load_checkpoint(str(CKPT)) + model = model.to("cuda").eval() + print(f"model loaded: {time.time()-t0:.1f}s proprio_dim={model.proprio_dim}", flush=True) + + ds = _build_dataset(cfg) + edi = ds.lerobot_dataset.episode_data_index + frm = edi["from"].tolist() + to = edi["to"].tolist() + tasks = _episode_tasks() + n_ep = len(frm) + + want = [int(x) for x in EPISODES.split(",") if x.strip() != ""] + want = [e for e in want if 0 <= e < n_ep] + if not want: + want = [0, min(273, n_ep - 1)] + + out_dir = os.path.join(OUT_DIR, f"videogen_{TAG}") + os.makedirs(out_dir, exist_ok=True) + print(f"episodes in dataset={n_ep} rendering FULL episodes for tasks: " + f"{[e for e in want]} -> {out_dir}", flush=True) + print("(joint route: first window JIT-warms ROCm kernels - can take several minutes)\n", flush=True) + + per = [] + all_lats = [] + for k, e in enumerate(want): + f0, f1 = int(frm[e]), int(to[e]) + L = f1 - f0 + if MAX_STEPS_PER_EPISODE > 0: + L = min(L, MAX_STEPS_PER_EPISODE) + task = tasks.get(e) or f"episode {e}" + print(f"[{k+1}/{len(want)}] episode {e} task={task!r} steps={L}", flush=True) + + stitched, mae, lats, prompt = _rollout_episode( + model, ds, f0, L, num_video_frames, action_horizon, ratio) + all_lats.extend(lats) + + mp4 = os.path.join(out_dir, f"episode{e:03d}_{_slug(task)}_gt_vs_imagined.mp4") + imageio.mimwrite(mp4, stitched, fps=FPS, quality=8, macro_block_size=1) + ep_lat = float(np.sum(lats)) + per.append({"episode": e, "task": task, "frames": len(stitched), + "windows": len(lats), "episode_latency_s": round(ep_lat, 2), + "action_norm_mae": round(mae, 4), "mp4": mp4}) + print(f" -> {len(stitched)} frames, {len(lats)} windows, " + f"episode joint-time={ep_lat:.1f}s, actMAE={mae:.4f}\n", flush=True) + print(f"VIDEOGEN_MP4={mp4}", flush=True) + + lat = np.array(all_lats) if all_lats else np.array([0.0]) + steady = lat[1:] if len(lat) > 1 else lat + summary = { + "tag": TAG, "config": CONFIG_NAME, "num_videos": len(per), + "num_inference_steps": NUM_STEPS, "num_video_frames": num_video_frames, "fps": FPS, + "joint_latency_s_first_warmup": round(float(lat[0]), 3), + "joint_latency_s_mean_steady": round(float(steady.mean()), 3), + "clips": per, + } + with open(os.path.join(out_dir, "video_latency.json"), "w") as f: + json.dump(summary, f, indent=2) + print(f"\n== {TAG} full-episode imagination ==", flush=True) + print(f"per-window joint latency ({NUM_STEPS} steps): warmup={lat[0]:.2f}s " + f"steady-mean={steady.mean():.2f}s", flush=True) + print("VIDEOGEN_SUMMARY=" + json.dumps(summary), flush=True) + print("PASS: FastWAM full-episode video imagination complete", flush=True) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/projects/Finetuning/scripts/interactive_server_fastwam.py b/projects/Finetuning/scripts/interactive_server_fastwam.py new file mode 100644 index 00000000..522c80f0 --- /dev/null +++ b/projects/Finetuning/scripts/interactive_server_fastwam.py @@ -0,0 +1,389 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""Interactive LIBERO demo driven by the FastWAM world-action model - notebook 3. + +Reuses the model-agnostic `sim_libero` harness shipped in the image (the SAME closed-loop / +chunk-replay control loop the MolmoAct2 interactive demo uses) but swaps in the FastWAM policy +via POLICY_FACTORY=fastwam_libero_policy:build_policy. FastWAM takes the DEFAULT "fast route" +(`infer_action`): from the current camera view + proprio + your instruction it plans a short +action chunk, the sim executes it, then it re-plans - the same receding-horizon loop as the +shipped closed-loop eval. + +Command-driven UX: the sim sits IDLE on a scene until you send an instruction; then it resets the +env + policy and runs that one task to completion (or until Stop), streaming the composed +agentview|wrist view. Pick any shipped LIBERO task from the environment dropdown. The last run's +debug video stays on screen with a download link. + +Proxy-hardened for JupyterHub: single-frame `/frame` polling (no multipart MJPEG that stalls +through jupyter-server-proxy) and RELATIVE URLs everywhere, so it embeds via +{JUPYTERHUB_SERVICE_PREFIX}/proxy/PORT/. The engine runs in a guarded thread so any load/eval +failure surfaces as mode=error in /status instead of hanging on "loading" forever. + +Env: SUITE (libero_object), TASK_ID (0), SEED (1000), PORT (8080), VIEW_RES (720), +VIDEO_RES (720), RENDER_RES (512), MAX_STEPS (0=suite default), OUT_DIR (/outputs), plus the +FastWAM policy knobs read by the adapter (CKPT, DATASET_STATS, MIXED_PRECISION, NUM_INFERENCE_STEPS, +REPLAN_STEPS, NUM_STEPS_WAIT, FASTWAM_REPO). Open http://localhost:PORT or embed via the proxy. +""" +import json +import os +import threading +import time +from datetime import datetime +from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer +from urllib.parse import parse_qs, urlparse + +from sim_libero.envutil import env_int, env_str +from sim_libero.libero_env import get_libero_image, list_envs +from sim_libero.policy import load_policy +from sim_libero.render import banner_frame, compose_view, encode_jpeg, save_mp4 +from sim_libero.scene import build_scene + +SUITE = env_str("SUITE", "libero_object") +TASK_ID = env_int("TASK_ID", 0) +SEED = env_int("SEED", 1000) +PORT = env_int("PORT", 8080) +VIEW_RES = env_int("VIEW_RES", 720) +VIDEO_RES = env_int("VIDEO_RES", 720) +RENDER_RES = env_int("RENDER_RES", 512) # sim camera size for the HD viewport +MAX_STEPS = env_int("MAX_STEPS", 0) # 0 -> per-suite default horizon +OUT_DIR = env_str("OUT_DIR", "/outputs") + +STATE = { + "mode": "loading", "instruction": "", "scene_task": "", + "suite": SUITE, "task_id": TASK_ID, "objects": [], + "step": 0, "plans": 0, "infer_ms": 0.0, "success": False, + "status": "starting", "frame": None, "video_url": "", +} +LOCK = threading.Lock() +PENDING = {"action": None, "instruction": "", "max_steps": 0, "suite": SUITE, "task_id": TASK_ID} +EVENT = threading.Event() +STOP = {"flag": False} + +_ENVS_CACHE = None + + +def _envs_json(): + """Cached env-picker payload: [{value, label}] over every shipped LIBERO task.""" + global _ENVS_CACHE + if _ENVS_CACHE is None: + items = [] + for e in list_envs(): + desc = (e["description"] or "").strip() + label = f"{e['suite']} / task {e['task_id']}" + (f" - {desc[:44]}" if desc else "") + items.append({"value": f"suite={e['suite']}&task_id={e['task_id']}", "label": label}) + _ENVS_CACHE = items + return _ENVS_CACHE + + +def _set_frame(rgb): + with LOCK: + STATE["frame"] = encode_jpeg(rgb) + + +def _timed_policy(policy): + """Wrap predict_action_chunk so the UI can show live plan latency (the fast-route + infer_action time) and a running plan counter, without touching the harness loop.""" + _orig = policy.predict_action_chunk + + def _wrapped(obs, instruction): + t0 = time.perf_counter() + chunk = _orig(obs, instruction) + dt = (time.perf_counter() - t0) * 1000.0 + with LOCK: + STATE["infer_ms"] = round(dt, 0) + STATE["plans"] += 1 + return chunk + + policy.predict_action_chunk = _wrapped + return policy + + +def engine_thread(): + os.makedirs(os.path.join(OUT_DIR, "interactive_fastwam"), exist_ok=True) + with LOCK: + STATE["status"] = "loading FastWAM policy (T5 + VAE + DiT; first run JIT-compiles kernels) ..." + policy = _timed_policy(load_policy()) + + def show_idle(sc, keep_video=False): + obs = sc.reset() + upd = dict(mode="idle", status="idle - send an instruction", step=0, plans=0, + success=False, suite=sc.suite, task_id=sc.task_id, + scene_task=sc.description, objects=sc.objects, instruction="") + if not keep_video: + upd["video_url"] = "" + with LOCK: + STATE.update(upd) + if not keep_video: + STATE.pop("_video_path", None) + _set_frame(compose_view(get_libero_image(obs), height=VIEW_RES)) + return obs + + scene = build_scene(SUITE, TASK_ID, seed=SEED, resolution=RENDER_RES) + obs0 = show_idle(scene) + + # Warm up the fast route NOW: the first infer_action pays a one-time ROCm HIP kernel-JIT + + # attention autotune (tens of seconds). Do it before going idle so the first real command + # isn't a long silent stall. + with LOCK: + STATE["status"] = "warming up GPU kernels (one-time JIT) ..." + try: + policy.warmup(obs0, scene.description or "pick up the object") + except Exception as e: # noqa: BLE001 - warmup is best-effort + print("warmup failed (continuing):", e, flush=True) + with LOCK: + STATE["plans"] = 0 + STATE["infer_ms"] = 0.0 + STATE["status"] = "idle - send an instruction" + + def run_command(sc, instruction, max_steps): + with LOCK: + STATE.update(mode="running", instruction=instruction, step=0, plans=0, success=False, + status=f"running: {instruction}", video_url="") + STATE.pop("_video_path", None) + STOP["flag"] = False + frames = [] + + def on_frame(imgs, step, holding): + rgb = compose_view(imgs, height=VIEW_RES) + _set_frame(rgb) + frames.append(banner_frame(compose_view(imgs), instruction, VIDEO_RES)) + with LOCK: + STATE["step"] = step + + from sim_libero.rollout import run_episode + + limit = max_steps or MAX_STEPS or None + success, _ = run_episode(sc, policy, instruction, on_frame=on_frame, + should_stop=lambda: STOP["flag"], max_steps=limit) + + url = "" + if frames: + ts = datetime.now().strftime("%H%M%S") + name = f"interactive_fastwam/{ts}_{sc.suite}_{sc.task_id}_{'ok' if success else 'run'}.mp4" + path = os.path.join(OUT_DIR, name) + try: + save_mp4(frames, path, fps=20) + url = "video?ts=" + ts + with LOCK: + STATE["_video_path"] = path + except Exception as e: # noqa: BLE001 + print("video save failed:", e, flush=True) + + with LOCK: + STATE.update(mode="idle", success=success, video_url=url, + status=("success" if success else ("stopped" if STOP["flag"] else "done"))) + show_idle(sc, keep_video=True) + + while True: + EVENT.wait() + EVENT.clear() + with LOCK: + action = PENDING["action"] + instruction = PENDING["instruction"] + max_steps = int(PENDING.get("max_steps", 0) or 0) + sel_suite = PENDING.get("suite", SUITE) + sel_task = int(PENDING.get("task_id", 0) or 0) + PENDING["action"] = None + if action == "select": + STOP["flag"] = True + with LOCK: + STATE["status"] = f"loading scene {sel_suite}/{sel_task} ..." + try: + new_scene = build_scene(sel_suite, sel_task, seed=SEED, resolution=RENDER_RES) + except Exception as e: # noqa: BLE001 + with LOCK: + STATE["status"] = f"scene build failed: {e}" + continue + scene.close() + scene = new_scene + show_idle(scene) + elif action == "run": + run_command(scene, instruction, max_steps) + + +PAGE = b""" +FastWAM sim - LIBERO (live) +
    +

    FastWAM simulator - LIBERO (live)

    +

    Wan2.2-TI2V-5B world-action model on the fast route: from the current view it plans an action chunk (infer_action), the sim executes it, then it re-plans. Pick a task, type an instruction, press Send.

    +sim +
    + + + +
    +
    + environment + + +
    +
    status: loading...
    +
    scene
    +
    +
    +""" + + +class Handler(BaseHTTPRequestHandler): + def log_message(self, *a): + pass + + def _send(self, code, ctype, body, extra=None): + self.send_response(code) + self.send_header("Content-Type", ctype) + self.send_header("Content-Length", str(len(body))) + for k, v in (extra or {}).items(): + self.send_header(k, v) + self.end_headers() + self.wfile.write(body) + + def do_GET(self): + path = urlparse(self.path).path + if path.endswith("/") or path == "": + self._send(200, "text/html; charset=utf-8", PAGE) + elif path.endswith("/envs"): + self._send(200, "application/json", json.dumps(_envs_json()).encode()) + elif path.endswith("/status"): + with LOCK: + s = {k: STATE[k] for k in ("mode", "status", "instruction", "scene_task", + "suite", "task_id", "objects", "step", "plans", + "infer_ms", "success", "video_url")} + self._send(200, "application/json", json.dumps(s).encode()) + elif path.endswith("/video"): + with LOCK: + p = STATE.get("_video_path") + if p and os.path.exists(p): + with open(p, "rb") as f: + self._send(200, "video/mp4", f.read(), + extra={"Content-Disposition": "attachment; filename=fastwam_libero.mp4"}) + else: + self._send(404, "text/plain", b"no video") + elif path.endswith("/frame"): + with LOCK: + frame = STATE.get("frame") + if frame: + self._send(200, "image/jpeg", frame) + else: + self._send(404, "text/plain", b"no frame") + elif path.endswith("/stream"): + self.send_response(200) + self.send_header("Content-Type", "multipart/x-mixed-replace; boundary=frame") + self.end_headers() + try: + while True: + with LOCK: + frame = STATE["frame"] + if frame: + self.wfile.write(b"--frame\r\nContent-Type: image/jpeg\r\n") + self.wfile.write(f"Content-Length: {len(frame)}\r\n\r\n".encode()) + self.wfile.write(frame) + self.wfile.write(b"\r\n") + time.sleep(0.06) + except (BrokenPipeError, ConnectionResetError): + pass + else: + self._send(404, "text/plain", b"not found") + + def do_POST(self): + path = urlparse(self.path).path + if path.endswith("/command"): + n = int(self.headers.get("Content-Length", "0")) + q = parse_qs(self.rfile.read(n).decode()) + instr = q.get("instruction", [""])[0].strip() + ms = q.get("max_steps", ["0"])[0] + if instr: + STOP["flag"] = True + with LOCK: + PENDING.update(action="run", instruction=instr, max_steps=int(ms or 0)) + EVENT.set() + self.send_response(204) + self.end_headers() + elif path.endswith("/select"): + n = int(self.headers.get("Content-Length", "0")) + q = parse_qs(self.rfile.read(n).decode()) + suite = q.get("suite", [""])[0].strip() + tid = q.get("task_id", ["0"])[0] + if suite: + STOP["flag"] = True + with LOCK: + PENDING.update(action="select", suite=suite, task_id=int(tid or 0)) + EVENT.set() + self.send_response(204) + self.end_headers() + elif path.endswith("/stop"): + STOP["flag"] = True + self.send_response(204) + self.end_headers() + else: + self.send_response(404) + self.end_headers() + + +def _engine_guard(): + """Run the engine; surface any load/eval error in STATE so the UI shows 'error' instead of + hanging on 'loading' forever (important for the workshop).""" + try: + engine_thread() + except Exception as e: # noqa: BLE001 + import traceback + traceback.print_exc() + with LOCK: + STATE["mode"] = "error" + STATE["status"] = f"engine failed: {e}" + + +def main(): + threading.Thread(target=_engine_guard, daemon=True).start() + srv = ThreadingHTTPServer(("0.0.0.0", PORT), Handler) + print(f"FastWAM interactive demo on http://0.0.0.0:{PORT} " + f"(remote box: ssh -L {PORT}:localhost:{PORT} )", flush=True) + srv.serve_forever() + + +if __name__ == "__main__": + main() diff --git a/projects/Finetuning/scripts/make_fastwam_bundle.sh b/projects/Finetuning/scripts/make_fastwam_bundle.sh new file mode 100755 index 00000000..e13e9978 --- /dev/null +++ b/projects/Finetuning/scripts/make_fastwam_bundle.sh @@ -0,0 +1,69 @@ +#!/usr/bin/env bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# ORGANIZER helper: pack the FastWAM LIBERO weights into the split-tar bundle that the course +# image bakes (notebook 3). The FastWAM checkpoint + Wan2.2 base are already BF16 (the production +# precision the fast route runs in), so this only selects + tars them - no conversion needed. +# +# It writes /fastwam/fastwam.tar.part-* which the Dockerfile's fastwam-staging stage +# reassembles into /opt/fastwam-assets as: +# fastwam_release/libero_uncond_2cam224.pt (bf16 action checkpoint, ~12 GB) +# fastwam_release/libero_uncond_2cam224_dataset_stats.json +# diffsynth/... (bf16 Wan2.2 base: T5 + VAE + tokenizer, ~12 GB) +# data// (LIBERO GT episodes for the imagination cell, ~1.3 GB) +# +# Put the resulting fastwam/ subdir next to base/ libero/ tokenizer/ ... inside mm2_workshop_assets, +# then build exactly as before (ASSETS_SRC=/path/to/mm2_workshop_assets); the build bakes it in. +# +# Usage: +# scripts/make_fastwam_bundle.sh +# where FASTWAM_MODELS_DIR is the FastWAM `models/` tree (contains fastwam_release/, diffsynth/, +# data/) and ASSETS_DIR is the mm2_workshop_assets folder to add the fastwam/ subdir to. +# Optional: PART_SIZE (default 4000M), DATASET_NAME (default libero_object_no_noops_lerobot). +set -euo pipefail + +SRC="${1:?usage: make_fastwam_bundle.sh }" +ASSETS_DIR="${2:?usage: make_fastwam_bundle.sh }" +PART_SIZE="${PART_SIZE:-4000M}" +DATASET_NAME="${DATASET_NAME:-libero_object_no_noops_lerobot}" + +REL="$SRC/fastwam_release" +CKPT="$REL/libero_uncond_2cam224.pt" +STATS="$REL/libero_uncond_2cam224_dataset_stats.json" +DIFF="$SRC/diffsynth" +DATA_REL="data/$DATASET_NAME" + +echo "packing FastWAM bundle" +echo " source models = $SRC" +echo " -> assets = $ASSETS_DIR/fastwam" +for p in "$CKPT" "$STATS"; do + [ -f "$p" ] || { echo "ERROR: missing file: $p" >&2; exit 2; } +done +[ -d "$DIFF" ] || { echo "ERROR: missing dir: $DIFF" >&2; exit 2; } +[ -d "$SRC/$DATA_REL" ] || { echo "ERROR: missing dir: $SRC/$DATA_REL" >&2; exit 2; } + +DEST="$ASSETS_DIR/fastwam" +mkdir -p "$DEST" +rm -f "$DEST"/fastwam.tar.part-* 2>/dev/null || true + +# Stream a tar of ONLY the LIBERO pieces (no robotwin / rt_checkpoints) straight from SRC into +# ~PART_SIZE splits - no intermediate copy, so it needs no extra disk for a second full tree. +# Drop ModelScope/HF download bookkeeping (.msc/.mv/.locks/.cache), the empty scratch dirs +# (._____temp) and any *.incomplete leftovers: none are needed for direct-path loading, and the +# root-owned .msc lock is not even world-readable. This keeps the baked tree clean + reproducible. +tar -C "$SRC" \ + --exclude='*/._____temp' --exclude='*/.______temp' --exclude='*.incomplete' \ + --exclude='*/.msc' --exclude='*/.mv' --exclude='*/.locks' --exclude='*/.cache' \ + -cf - \ + "fastwam_release/libero_uncond_2cam224.pt" \ + "fastwam_release/libero_uncond_2cam224_dataset_stats.json" \ + "diffsynth" \ + "$DATA_REL" \ + | split -b "$PART_SIZE" -d -a 3 - "$DEST/fastwam.tar.part-" + +echo "done. parts:" +ls -lh "$DEST"/fastwam.tar.part-* +echo +echo "sanity: this reassembles to fastwam_release/ diffsynth/ data/ under /opt/fastwam-assets" +echo " cat $DEST/fastwam.tar.part-* | tar -tf - | head" diff --git a/projects/Finetuning/tests/test_fastwam.sh b/projects/Finetuning/tests/test_fastwam.sh new file mode 100755 index 00000000..d58130ab --- /dev/null +++ b/projects/Finetuning/tests/test_fastwam.sh @@ -0,0 +1,64 @@ +#!/bin/bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT + +set -euo pipefail + +echo "Testing FastWAM world-action model + LIBERO sim stack..." + +# The FastWAM stack lives in its OWN isolated venv (numpy 1.26.4) with its OWN LIBERO config +# path, so this test never touches the MolmoAct2 train-venv. +FW_PY="${FASTWAM_VENV:-/opt/fastwam-venv}/bin/python" +export LIBERO_CONFIG_PATH="${LIBERO_CONFIG_PATH_FASTWAM:-/opt/libero-config-fastwam}" + +"$FW_PY" - <<'PY' +import os +import sys + +import numpy as np +import torch +import mujoco +import robosuite # noqa: F401 + +from libero.libero import benchmark # noqa: F401 +from libero.libero.envs import OffScreenRenderEnv # noqa: F401 + +import sim_libero # noqa: F401 +from sim_libero.libero_env import SUITES, get_benchmark_dict, get_max_steps +from sim_libero.policy import Policy, load_policy # noqa: F401 + +import fastwam # noqa: F401 +from fastwam.runtime import create_fastwam # noqa: F401 +from fastwam.datasets.lerobot.utils.normalizer import load_dataset_stats_from_json # noqa: F401 +import experiments.libero.eval_libero_single as E # noqa: F401 + +# The runtime policy factory (POLICY_FACTORY target for the interactive server). +sys.path.insert(0, "/opt/fastwam-adapters") +import fastwam_libero_policy # noqa: E402 +assert hasattr(fastwam_libero_policy, "build_policy"), "fastwam_libero_policy.build_policy missing" + +assert torch.version.hip, f"torch is not a ROCm build: {torch.__version__}" +assert np.__version__.startswith("1.26"), f"expected numpy 1.26.x in fastwam venv, got {np.__version__}" + +benchmark_dict = get_benchmark_dict() +for suite in ("libero_object", "libero_goal", "libero_spatial", "libero_10"): + assert suite in benchmark_dict, f"suite {suite} missing from LIBERO benchmark dict" + get_max_steps(suite) + +rel = os.environ.get("FASTWAM_RELEASE_DIR", "/opt/fastwam-assets/fastwam_release") +ckpt = os.path.join(rel, "libero_uncond_2cam224.pt") +stats = os.path.join(rel, "libero_uncond_2cam224_dataset_stats.json") +diffsynth = os.environ.get("DIFFSYNTH_MODEL_BASE_PATH", "/opt/fastwam-assets/diffsynth") + +print(f"python : {sys.executable}") +print(f"torch : {torch.__version__} hip={torch.version.hip}") +print(f"numpy : {np.__version__}") +print(f"mujoco/robosuite : {mujoco.__version__} / {robosuite.__version__}") +print(f"libero suites : {', '.join(SUITES)}") +print(f"baked ckpt : {ckpt} -> {'PRESENT' if os.path.exists(ckpt) else 'absent'}") +print(f"baked stats : {stats} -> {'PRESENT' if os.path.exists(stats) else 'absent'}") +print(f"Wan2.2 base : {diffsynth} -> {'PRESENT' if os.path.isdir(diffsynth) else 'absent'}") +print("PASS: FastWAM world-action + LIBERO sim imports OK") +PY + +echo "(env-check only; run scripts/fastwam_smoke.py on a GPU for a full infer_action smoke.)" From 1077d8be3300bde038c96d8a2dcead2f8d405159 Mon Sep 17 00:00:00 2001 From: skalade Date: Sun, 16 Aug 2026 22:55:12 -0600 Subject: [PATCH 11/35] add helpers for bulk copy to igpu --- .../finetune_molmoact2_libero.ipynb | 5 ++ projects/Finetuning/scripts/fast_to_device.py | 86 +++++++++++++++++++ .../scripts/interactive_server_ft.py | 2 + projects/Finetuning/scripts/sitecustomize.py | 4 + 4 files changed, 97 insertions(+) create mode 100644 projects/Finetuning/scripts/fast_to_device.py create mode 100644 projects/Finetuning/scripts/sitecustomize.py diff --git a/projects/Finetuning/finetune_molmoact2_libero.ipynb b/projects/Finetuning/finetune_molmoact2_libero.ipynb index a1c7f05f..3ea78a04 100644 --- a/projects/Finetuning/finetune_molmoact2_libero.ipynb +++ b/projects/Finetuning/finetune_molmoact2_libero.ipynb @@ -100,6 +100,8 @@ " # these bars redraw on ONE line instead of spamming a new line per tick.\n", " e.pop(\"TQDM_DISABLE\", None)\n", " e.update({\"TORCH_BLAS_PREFER_HIPBLASLT\": \"0\", \"PYTHONWARNINGS\": \"ignore\", \"PYTHONUNBUFFERED\": \"1\"})\n", + " scripts = os.path.join(RYZERS, \"notebooks\", \"scripts\")\n", + " e[\"PYTHONPATH\"] = scripts + (\":\" + e[\"PYTHONPATH\"] if e.get(\"PYTHONPATH\") else \"\")\n", " e.update({k: str(v) for k, v in extra.items()})\n", " return e\n", "\n", @@ -463,6 +465,9 @@ "# baked at /repos/molmoact2/examples/droid) and run ONE real forward. Proves the full 6B\n", "# flow-matching action path executes on ROCm and that the just-downloaded weights load. First\n", "# call may JIT-compile kernels (slow once). We keep `base_policy` around to reuse in Step 3.\n", + "sys.path.insert(0, \"scripts\")\n", + "from fast_to_device import install\n", + "install()\n", "from host_server_droid import NORM_TAG, Policy\n", "from PIL import Image\n", "\n", diff --git a/projects/Finetuning/scripts/fast_to_device.py b/projects/Finetuning/scripts/fast_to_device.py new file mode 100644 index 00000000..6af8a8f5 --- /dev/null +++ b/projects/Finetuning/scripts/fast_to_device.py @@ -0,0 +1,86 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +"""One HIP copy per dtype instead of one copy per nn.Parameter (MolmoAct2 has ~1300).""" +from collections import defaultdict + +_installed = False + + +def _same_device(a, b): + import torch + + a, b = torch.device(a), torch.device(b) + if a.type != b.type: + return False + if a.type in ("cuda", "hip"): + ai = a.index if a.index is not None else torch.cuda.current_device() + bi = b.index if b.index is not None else torch.cuda.current_device() + return ai == bi + return a == b + + +def bulk_to_device(module, device, dtype=None): + import torch + + device = torch.device(device) + unique, aliases = {}, defaultdict(list) + for t in list(module.parameters()) + list(module.buffers()): + if _same_device(t.device, device) and (dtype is None or t.dtype == dtype): + continue + if not t.is_floating_point() or t.numel() == 0: + t.data = t.data.to(device=device, dtype=dtype or t.dtype) + continue + ptr = t.data_ptr() + if ptr in unique: + aliases[ptr].append(t) + else: + unique[ptr] = t + + groups = defaultdict(list) + for t in unique.values(): + groups[dtype or t.dtype].append(t) + + for out_dtype, tensors in groups.items(): + flats = [t.detach().contiguous().to(out_dtype).reshape(-1) for t in tensors] + packed = torch.cat(flats).to(device) + off = 0 + for t in tensors: + n = t.numel() + # clone so tensors don't share one packed storage (safetensors save needs that) + owned = packed[off : off + n].view(t.shape).clone() + old = t.data_ptr() + t.data = owned + for alias in aliases.get(old, []): + alias.data = owned + off += n + del packed + print(f"fast_to_device: {len(tensors)} tensors {out_dtype} -> {device}", flush=True) + return module + + +def install(): + """Patch nn.Module.to so Policy(...).to(cuda) uses bulk_to_device.""" + global _installed + if _installed: + return + import torch + + orig = torch.nn.Module.to + + def _to(self, *args, **kwargs): + try: + device, cast_dtype, _, fmt = torch._C._nn._parse_to(*args, **kwargs) + except Exception: + return orig(self, *args, **kwargs) + if fmt is not None or device is None: + return orig(self, *args, **kwargs) + device = torch.device(device) + if device.type not in ("cuda", "hip"): + return orig(self, *args, **kwargs) + n = sum(1 for _ in self.parameters()) + if n < 32: + return orig(self, *args, **kwargs) + return bulk_to_device(self, device, dtype=cast_dtype) + + torch.nn.Module.to = _to + _installed = True diff --git a/projects/Finetuning/scripts/interactive_server_ft.py b/projects/Finetuning/scripts/interactive_server_ft.py index ebeb536d..e6e43ec9 100644 --- a/projects/Finetuning/scripts/interactive_server_ft.py +++ b/projects/Finetuning/scripts/interactive_server_ft.py @@ -162,6 +162,8 @@ def _fallback_policy_cli(): def rollout_thread(): import torch + from fast_to_device import install + install() import draccus from lerobot.configs import parser as lrparser from lerobot.configs.eval import EvalPipelineConfig diff --git a/projects/Finetuning/scripts/sitecustomize.py b/projects/Finetuning/scripts/sitecustomize.py new file mode 100644 index 00000000..4eb67deb --- /dev/null +++ b/projects/Finetuning/scripts/sitecustomize.py @@ -0,0 +1,4 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +from fast_to_device import install +install() From b2e7792d8cd92369da8fe374fb5a4e0ee867aa23 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Luiz=20Godoy?= Date: Mon, 17 Aug 2026 15:51:36 -0700 Subject: [PATCH 12/35] Add the CaP-X code-as-policies notebook Notebook 04 runs CaP-X against a locally served model: it configures LaunchArgs and ModelQueryArgs directly, generates one program, executes it in Robosuite, and benchmarks the success rate over five layouts. capx_demo.py holds the setup and reporting around it. The LocalInference image gains the CaP-X stack in its own venv and Jupyter kernel, with the gated SAM3 weights pre-fetched at build time so nothing needs a HuggingFace token at runtime. lemonade_env.sh gains a --serve-only flag, so the notebook can reuse its model-serving half without the RAI config rewrite and ROS overlay that follow it, and its wait loop is now bounded. --- dockerfiles/Courses/LocalInference/Dockerfile | 185 ++ dockerfiles/Courses/LocalInference/build.sh | 3 + .../04_code_as_policies_with_capx.ipynb | 1729 +++++++++++++++++ projects/LocalInference/README.md | 5 +- projects/LocalInference/capx_demo.py | 318 +++ projects/LocalInference/lemonade_env.sh | 49 +- projects/LocalInference/tests/test_capx.sh | 164 ++ 7 files changed, 2438 insertions(+), 15 deletions(-) create mode 100644 projects/LocalInference/04_code_as_policies_with_capx.ipynb create mode 100644 projects/LocalInference/capx_demo.py create mode 100755 projects/LocalInference/tests/test_capx.sh diff --git a/dockerfiles/Courses/LocalInference/Dockerfile b/dockerfiles/Courses/LocalInference/Dockerfile index 06e6c62b..e1af3fae 100644 --- a/dockerfiles/Courses/LocalInference/Dockerfile +++ b/dockerfiles/Courses/LocalInference/Dockerfile @@ -157,6 +157,188 @@ RUN add-apt-repository ppa:lemonade-team/stable \ && apt-get install -y --no-install-recommends lemonade-server \ && rm -rf /var/lib/apt/lists/* +# --------------------------------------------------------------------------- +# CaP-X (Code-as-Policies eXtended) - the code-generating manipulation agent +# behind 04_code_as_policies_with_capx.ipynb. Robosuite/MuJoCo rendered +# headless through EGL on the iGPU, perception and IK served on localhost. +# +# CaP-X pins dependencies that would fight the RAI stack (numpy, transformers, +# matplotlib, mujoco), so it gets its own venv plus its own Jupyter kernel +# ("CaP-X (ROCm)", selected by the notebook) instead of sharing /opt/rai-venv. +# --system-site-packages keeps the base ROCm torch rather than pulling CUDA +# wheels, exactly as the RAI venv does. +# --------------------------------------------------------------------------- + +# Pinned to a tested CaP-X commit. +ARG CAPX_REF=53e9966d7a8e2fa7494676772bccc35280f5c0ed + +ENV CAPX_ROOT=/ryzers/cap-x \ + CAPX_VENV=/opt/capx-venv \ + CAPX_CACHE=/opt/capx-cache + +# EGL/GL stack for headless MuJoCo, pyrender and open3d. MuJoCo renders through +# EGL/OpenGL, not through HIP, so this is what puts frames on the iGPU with no +# display attached. +RUN apt-get update && apt-get install -y --no-install-recommends \ + cmake \ + libegl1 \ + libegl-mesa0 \ + libgl1 \ + libgles2 \ + libglew-dev \ + libglfw3 \ + libglfw3-dev \ + libosmesa6 \ + libosmesa6-dev \ + pkg-config \ + && rm -rf /var/lib/apt/lists/* + +# Constraints: the base ROCm torch (already captured for RAI) plus CaP-X's uv +# override-dependencies and the Python 3.12 Robosuite resolution from its +# lockfile. Robosuite 1.5.1 still calls the pre-3.10 mj_fullM API, so letting +# pip take the current MuJoCo release breaks startup. +# FIX: CaP-X also pins PyOpenGL-accelerate==3.1.6, which has no cp312 wheel and +# does not compile on Python 3.12 - left out here. +RUN cp /opt/torch-constraints.txt /opt/capx-constraints.txt \ + && printf '%s\n' \ + 'numpy==1.26.4' \ + 'PyOpenGL==3.1.6' \ + 'matplotlib>=3.10,<3.11' \ + 'opencv-python-headless<4.13' \ + 'jax==0.4.29' \ + 'jaxlib==0.4.29' \ + 'mujoco==3.5.0' \ + 'mink==1.1.0' \ + 'networkx==3.6.1' \ + 'pyglet==2.1.13' \ + >> /opt/capx-constraints.txt + +# Clone WITHOUT --recurse-submodules, then init only the submodules the +# Robosuite eval path uses. This skips curobo (huge, with nested CUDA +# submodules), b1k (BEHAVIOR/Isaac Sim), verl (RL training) and LIBERO-PRO - +# none of them needed here, and a large time and space saving. +RUN /usr/bin/python3 -m venv --system-site-packages ${CAPX_VENV} \ + && git clone https://github.com/capgym/cap-x ${CAPX_ROOT} \ + && git -C ${CAPX_ROOT} checkout ${CAPX_REF} \ + && git -C ${CAPX_ROOT} submodule update --init \ + capx/third_party/sam3 \ + capx/third_party/contact_graspnet_pytorch \ + capx/third_party/robosuite + +WORKDIR /ryzers/cap-x + +# Base runtime deps: the PyPI-resolvable subset of [project.dependencies], +# minus torch/torchvision (kept from the base image) and the CUDA-only entries. +# FIX: setuptools is pinned from both sides. Below 81 because sam3 imports +# pkg_resources, dropped in 81. At or above 77 because robosuite pulls in +# pynput -> evdev, whose pyproject.toml declares the PEP 639 SPDX form +# (license = "BSD-3-Clause") that older setuptools rejects outright. The lower +# bound is also what forces a copy into the venv: with a bare "<81" pip counts +# the base image's system setuptools 68 as satisfying the requirement, leaves +# the venv without its own, and the later --no-build-isolation builds pick up +# that 68 and fail. +RUN PIP_CONSTRAINT=/opt/capx-constraints.txt ${CAPX_VENV}/bin/pip install --no-cache-dir \ + "gymnasium>=0.29" "tyro>=0.8.5" "pydantic>=2.7" "rich>=13.7" \ + "scipy>=1.12" "matplotlib>=3.10,<3.11" "imageio[ffmpeg]>=0.6.0" \ + requests tqdm h5py einops decord pycocotools pyyaml omegaconf \ + open3d "robot_descriptions>=1.16.0" "yourdfpy>=0.0.56" "viser>=0.2.0" \ + "trimesh>=4.4.0" msgpack_numpy "ray==2.48.0" "mediapy>=1.2.5" \ + uvicorn fastapi "transformers<5.0" openai \ + "opencv-python-headless<4.13" "pillow>=10" cloudpickle \ + "setuptools>=77,<81" \ + "mujoco==3.5.0" "mink==1.1.0" "networkx==3.6.1" "pyglet==2.1.13" \ + "pyliblzfse==0.4.1" freetype-py six \ + && : "CaP-X overrides pyrender's stale PyOpenGL==3.1.0 metadata to 3.1.6." \ + "pip cannot express uv's override, so install the locked pyrender" \ + "once all of its runtime dependencies are already present." \ + && ${CAPX_VENV}/bin/pip install --no-cache-dir --no-deps "pyrender==0.1.45" + +# PyRoKi: JAX-based IK / trajopt, and the default motion layer here - it +# replaces cuRobo for the Robosuite bench. Deliberately CPU-only, which keeps +# the GPU for perception. +RUN PIP_CONSTRAINT=/opt/capx-constraints.txt ${CAPX_VENV}/bin/pip install --no-cache-dir \ + "jax==0.4.29" "jaxlib==0.4.29" \ + jaxlie jax_dataclasses jaxtyping loguru termcolor \ + && PIP_CONSTRAINT=/opt/capx-constraints.txt ${CAPX_VENV}/bin/pip install \ + --no-cache-dir --no-deps \ + "git+https://github.com/brentyi/jaxls.git@6fe7cf9d56223736b2c0272d080ec7346203c648" \ + "git+https://github.com/chungmin99/pyroki.git@95afccc22658c461ab1042a048ae4e9c24bc2a47" + +# Perception and simulator. All editable submodule installs use +# --no-build-isolation because their setup.py imports numpy at build time, +# mirroring CaP-X's uv `extra-build-dependencies`. +# SAM3 is pure PyTorch and runs on ROCm torch. Its weights are gated on +# HuggingFace, so they are pre-fetched with a token further down rather than +# downloaded at runtime. +RUN PIP_CONSTRAINT=/opt/capx-constraints.txt ${CAPX_VENV}/bin/pip install --no-cache-dir \ + -e capx/third_party/sam3 \ + && : "contact_graspnet_pytorch ships only a setup.py, so pip would take the" \ + "legacy 'setup.py develop' path. Setuptools >=77 implements that by" \ + "re-invoking pip in a subprocess WITHOUT --no-build-isolation, which" \ + "then cannot see numpy. --use-pep517 keeps the build in this env." \ + && PIP_CONSTRAINT=/opt/capx-constraints.txt ${CAPX_VENV}/bin/pip install --no-cache-dir \ + --use-pep517 --no-build-isolation -e capx/third_party/contact_graspnet_pytorch \ + && PIP_CONSTRAINT=/opt/capx-constraints.txt ${CAPX_VENV}/bin/pip install --no-cache-dir \ + --no-build-isolation -e capx/third_party/robosuite \ + && : "capx itself goes in without deps - they are all handled above - so" \ + "this only puts the package on the path, editable so that students" \ + "can change a docstring and see the agent's prompt change." \ + && ${CAPX_VENV}/bin/pip install --no-cache-dir --no-deps --no-build-isolation -e . + +# Loading the perception models onto the GPU can take several minutes on a cold +# start. Upstream begins trials after 120 seconds even when those services are +# still unavailable, which fails the first trials of every run. +RUN sed -i \ + 's/api_servers: list | None, wait_timeout: float = 120.0/api_servers: list | None, wait_timeout: float = 900.0/' \ + capx/envs/runner.py \ + && grep -q "wait_timeout: float = 900.0" capx/envs/runner.py + +# --------------------------------------------------------------------------- +# PASTE YOUR HUGGINGFACE TOKEN HERE TO BUILD, AND CLEAR IT BEFORE COMMITTING. +# A build arg ends up in the image metadata, so this is for local builds only. +# The committed value must stay empty; export HF_TOKEN and let build.sh pass +# --secret id=hf_token instead, which keeps the token out of every layer. +# --------------------------------------------------------------------------- +ARG HF_TOKEN="" + +# Pre-fetch the SAM3 weights so a workshop does not spend its first ten minutes +# downloading them, and so nothing at runtime needs a token. They cannot live +# under /home/jovyan: the Hub mounts a per-user volume there, which would hide +# anything baked in. facebook/sam3 is gated, so the build needs an account with +# approved access. +RUN --mount=type=secret,id=hf_token,required=false \ + HF_TOKEN="$(cat /run/secrets/hf_token 2>/dev/null || echo "${HF_TOKEN}")" \ + HF_HOME=${CAPX_CACHE} ${CAPX_VENV}/bin/python -c \ + "import os; \ +from huggingface_hub import snapshot_download; \ +assert os.environ.get('HF_TOKEN'), 'facebook/sam3 is gated - set HF_TOKEN, see the note above'; \ +snapshot_download('facebook/sam3', ignore_patterns=['*.msgpack', '*.h5', '*.onnx', '*tf_model*', '*flax*'])" + +# The CaP-X kernel. Its `env` is why the notebook needs no setup cell: the +# perception servers and launch.py are children of the kernel, so they inherit +# the weight cache and the headless GL backend from here. HF_HOME is scoped to +# this kernel so that Lemonade's own downloads keep landing in the user volume. +RUN mkdir -p /usr/local/share/jupyter/kernels/capx \ + && printf '%s\n' \ + '{' \ + ' "argv": ["/opt/capx-venv/bin/python", "-m", "ipykernel_launcher", "-f", "{connection_file}"],' \ + ' "display_name": "CaP-X (ROCm)",' \ + ' "language": "python",' \ + ' "env": {' \ + ' "HF_HOME": "/opt/capx-cache",' \ + ' "MUJOCO_GL": "egl",' \ + ' "PYOPENGL_PLATFORM": "egl",' \ + ' "CAPX_ROOT": "/ryzers/cap-x"' \ + ' }' \ + '}' \ + > /usr/local/share/jupyter/kernels/capx/kernel.json \ + && MUJOCO_GL=egl ${CAPX_VENV}/bin/python -c \ + "import torch, capx, robosuite, mujoco, pyroki; \ +assert torch.version.hip, 'CaP-X dependencies replaced ROCm torch'; \ +print('CaP-X ROCm environment OK:', torch.__version__, '| robosuite', robosuite.__version__)" + +WORKDIR /ryzers + RUN getent group audio >/dev/null || groupadd audio \ && getent group kvm >/dev/null || groupadd kvm \ && usermod -aG audio,kvm jovyan \ @@ -175,12 +357,14 @@ COPY ./course_data/lemonade_env.sh \ ./course_data/manipulation_demo_headless.sh \ ./course_data/manipulation_demo_streamlit.py \ ./course_data/notebook_demo.py \ + ./course_data/capx_demo.py \ /ryzers/ RUN ln -s /ryzers/notebooks/tests/test_ros.sh /ryzers/test_ros.sh \ && ln -s /ryzers/notebooks/tests/test_o3de.sh /ryzers/test_o3de.sh \ && ln -s /ryzers/notebooks/tests/test_rai.sh /ryzers/test_rai.sh \ && ln -s /ryzers/notebooks/tests/test_lemonade-sdk.sh /ryzers/test_lemonade-sdk.sh \ + && ln -s /ryzers/notebooks/tests/test_capx.sh /ryzers/test_capx.sh \ && chmod +x \ /ryzers/lemonade_env.sh \ /ryzers/manipulation_demo_headless.sh \ @@ -188,6 +372,7 @@ RUN ln -s /ryzers/notebooks/tests/test_ros.sh /ryzers/test_ros.sh \ /home/jovyan/.cache \ /home/jovyan/.streamlit \ /home/jovyan/.asoundrc \ + /opt/capx-cache \ /ryzers \ /tmp/runtime-jovyan \ && printf '%s\n' \ diff --git a/dockerfiles/Courses/LocalInference/build.sh b/dockerfiles/Courses/LocalInference/build.sh index e26c4544..9fac0df3 100755 --- a/dockerfiles/Courses/LocalInference/build.sh +++ b/dockerfiles/Courses/LocalInference/build.sh @@ -7,5 +7,8 @@ set -euo pipefail cp -r ../../../projects/LocalInference ./course_data trap 'rm -rf course_data' EXIT +# Without Export HF_TOKEN the build falls since the arg is empty by +# default the Dockerfile. docker build ${BASE_IMAGE:+--build-arg BASE_IMAGE="$BASE_IMAGE"} \ + ${HF_TOKEN:+--secret id=hf_token,env=HF_TOKEN} \ -t ghcr.io/amdresearch/auplc-localinference:latest . diff --git a/projects/LocalInference/04_code_as_policies_with_capx.ipynb b/projects/LocalInference/04_code_as_policies_with_capx.ipynb new file mode 100644 index 00000000..9421c4ab --- /dev/null +++ b/projects/LocalInference/04_code_as_policies_with_capx.ipynb @@ -0,0 +1,1729 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6063d6b2", + "metadata": {}, + "source": [ + "# Code as Policies with CaP-X\n", + "\n", + "[CaP-X](https://github.com/capgym/cap-x) (*Code-as-Policies eXtended*) is a framework for benchmarking and improving coding agents for robot manipulation. Instead of asking a model what the arm should do next, it asks the model to **write a Python program** that solves the task by composing perception and control primitives, runs that program in simulation, and scores whether the task actually got done.\n", + "\n", + "The robot is a Franka Panda again, this time in a Robosuite/MuJoCo simulation. The model that writes the program is served locally, so the reasoning stays on your Radeon GPU.\n", + "\n", + "## Goals\n", + "\n", + "* Understand how a code-generating agent controls a robot, and how that differs from the tool-calling agent in the previous notebook\n", + "* Configure CaP-X against your own OpenAI-compatible model server\n", + "* Read the program the model writes, and the prompt that produced it\n", + "* Measure a model by its success rate over repeated trials instead of a single demo" + ] + }, + { + "cell_type": "markdown", + "id": "68b3028e", + "metadata": {}, + "source": [ + "## Two ways to put an LLM on a robot\n", + "\n", + "Notebook 03 and this notebook attempt to solve the same problem of robot manipulation through using natural language as an input, and planned motion of the arm as an output. Their approach differs with the local model's responsibility: **calling tools vs generating code.**\n", + "\n", + "| | Notebook 03 - RAI | This notebook - CaP-X |\n", + "| --- | --- | --- |\n", + "| What the model emits | one tool call at a time | one Python program, up front |\n", + "| Where the model sits | inside the control loop | upstream of it |\n", + "| Model calls per task | one per step, dozens of them | one |\n", + "| What drives the robot | a LangGraph loop | CPython executing the generated code |\n", + "| Perception | a ROS 2 service, invoked as a tool | SAM3 and Contact-GraspNet, called as functions from inside the program |\n", + "| How you judge it | watch the arm | reward over N seeded trials, i.e. a success rate |\n", + "| A failure looks like | a tool call you can read | a traceback, or a program that runs cleanly and still misses |\n", + "\n", + "The main tradeoff is: adaptability against efficiency. RAI can attempt any task with no preparation, but the model has to reason from scratch every time, so the hundredth run of a task costs the same as the first. CaP-X generates a program per task, and that program can then be re-run without a model at all; yet a wrong read of the scene spoils the whole episode, and every new task needs another program." + ] + }, + { + "cell_type": "markdown", + "id": "bab6fa2a", + "metadata": {}, + "source": [ + "## Serve the model locally\n", + "\n", + "CaP-X is compatible with plain OpenAI chat completions, therefore any server that can communicate in the protocol will do. We will use the same Lemonade server as notebooks 02 and 03, on the same port.\n", + "\n", + "`ensure_lemonade` will starts `lemond` if it is not already up and loads the model onto the iGPU, hence whether you left the server running after the earlier notebooks won't affect the result for this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "e5910063", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Gemma-4-E2B-it-GGUF is loaded and serving on port 13305\n" + ] + } + ], + "source": [ + "import sys\n", + "\n", + "sys.path.insert(0, \"/ryzers\")\n", + "\n", + "from capx_demo import benchmark, ensure_lemonade, show_video\n", + "\n", + "MODEL = \"Gemma-4-E2B-it-GGUF\"\n", + "ensure_lemonade(MODEL)" + ] + }, + { + "cell_type": "markdown", + "id": "b363aef1", + "metadata": {}, + "source": [ + "## Start the perception services and configure CaP-X\n", + "\n", + "Three servers sit behind the primitives the generated program may call. SAM3 grounds a noun phrase such as `\"red cube\"` into the pixels that are the cube, Contact-GraspNet turns that mask plus depth into ranked 6-DoF grasp poses, and PyRoKi solves the inverse kinematics. `FrankaControlApi` wraps them into the five functions the model is allowed to use.\n", + "\n", + "The cell below is what `capx/envs/launch.py` does before its first trial, one call at a time. `LaunchArgs` is the dataclass the CLI parses its flags into, so filling one in by hand configures the framework exactly as a terminal run would, and `model` and `server_url` are the whole coupling between CaP-X and whatever is doing the reasoning. Point them at any OpenAI-compatible chat-completions endpoint and nothing else in this notebook changes." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "185ef1d5", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mNo private macro file found! (macros.py:57)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mIt is recommended to use a private macro file (macros.py:58)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mTo setup, run: python /ryzers/cap-x/capx/third_party/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:32)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not load the mink-based whole-body IK. Make sure you install related import properly, otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:42)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jupyter environment detected. Enabling Open3D WebVisualizer.\n", + "[Open3D INFO] WebRTC GUI backend enabled.\n", + "[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/capx-venv/lib/python3.12/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n", + " warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "R1Pro not installed, skipping R1Pro APIs\n", + "LIBERO not installed!\n", + "R1Pro not installed!\n", + "API server {'_target_': 'capx.serving.launch_sam3_server.main', 'device': 'cuda', 'port': 8114, 'host': '127.0.0.1'} started\n", + "API server {'_target_': 'capx.serving.launch_contact_graspnet_server.main', 'port': 8115, 'host': '127.0.0.1'} started\n", + "API server {'_target_': 'capx.serving.launch_pyroki_server.main', 'port': 8116, 'host': '127.0.0.1', 'robot': 'panda_description', 'target_link': 'panda_hand'} started\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mNo private macro file found! (macros.py:57)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mIt is recommended to use a private macro file (macros.py:58)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mTo setup, run: python /ryzers/cap-x/capx/third_party/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mNo private macro file found! (macros.py:57)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mIt is recommended to use a private macro file (macros.py:58)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mTo setup, run: python /ryzers/cap-x/capx/third_party/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mNo private macro file found! (macros.py:57)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mIt is recommended to use a private macro file (macros.py:58)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mTo setup, run: python /ryzers/cap-x/capx/third_party/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:32)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:32)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:32)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not load the mink-based whole-body IK. Make sure you install related import properly, otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:42)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not load the mink-based whole-body IK. Make sure you install related import properly, otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:42)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not load the mink-based whole-body IK. Make sure you install related import properly, otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:42)\n", + "/opt/capx-venv/lib/python3.12/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n", + " warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n", + "/opt/capx-venv/lib/python3.12/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n", + " warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n", + "/opt/capx-venv/lib/python3.12/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n", + " warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "R1Pro not installed, skipping R1Pro APIs\n", + "R1Pro not installed, skipping R1Pro APIs\n", + "LIBERO not installed!\n", + "LIBERO not installed!\n", + "R1Pro not installed!\n", + "R1Pro not installed!\n", + "R1Pro not installed, skipping R1Pro APIs\n", + "LIBERO not installed!\n", + "R1Pro not installed!\n", + "Cloning https://github.com/Gepetto/example-robot-data.git...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pyroki_server:Loading robot URDF 'panda_description' with Pyroki...\n", + "0it [00:00, ?it/s]/ryzers/cap-x/capx/third_party/sam3/sam3/model_builder.py:8: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n", + " import pkg_resources\n", + "INFO:capx.serving.launch_contact_graspnet_server:Loading GraspNet config from /ryzers/cap-x/capx/third_party/contact_graspnet_pytorch/checkpoints/contact_graspnet/checkpoints\n", + "INFO:capx.serving.launch_contact_graspnet_server:Building GraspNet model...\n", + "INFO:capx.serving.launch_contact_graspnet_server:Loading weights from /ryzers/cap-x/capx/third_party/contact_graspnet_pytorch/checkpoints/contact_graspnet/checkpoints\n", + "INFO:capx.serving.launch_contact_graspnet_server:GraspNet Service initialized on cuda. Starting Uvicorn...\n", + "INFO: Started server process [604]\n", + "INFO: Waiting for application startup.\n", + "INFO: Application startup complete.\n", + "INFO: Uvicorn running on http://127.0.0.1:8115 (Press CTRL+C to quit)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "model func: \n", + "/ryzers/cap-x/capx/third_party/contact_graspnet_pytorch/checkpoints/contact_graspnet/checkpoints/model.pt\n", + "=> Loading checkpoint from local file...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 306.0/757.0 [00:09<00:14, 31.01it/s]INFO: Started server process [603]\n", + "INFO: Waiting for application startup.\n", + "INFO: Application startup complete.\n", + "INFO: Uvicorn running on http://127.0.0.1:8114 (Press CTRL+C to quit)\n", + " 40%|████ | 306.0/757.0 [00:10<00:15, 29.36it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API server on 127.0.0.1:8114 is ready\n", + "API server on 127.0.0.1:8115 is ready\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 118.0/118.0 [00:18<00:00, 6.31it/s]\n", + "INFO:jax._src.xla_bridge:Unable to initialize backend 'cuda': \n", + "INFO:jax._src.xla_bridge:Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "INFO:jax._src.xla_bridge:Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: libtpu.so: cannot open shared object file: No such file or directory\n", + "2026-08-17 22:02:14.456 | INFO | pyroki.collision._robot_collision:from_sphere_decomposition:187 - Created RobotCollision (sphere mode) with 13 links, 41 total spheres, and 626 active pairs.\n", + "INFO:pyroki_server:PyRoki loaded and ready!\n", + "INFO: Started server process [605]\n", + "INFO: Waiting for application startup.\n", + "INFO: Application startup complete.\n", + "INFO: Uvicorn running on http://127.0.0.1:8116 (Press CTRL+C to quit)\n", + "\u001b[1m\u001b[32m[robosuite INFO] \u001b[0mLoading controller configuration from: capx/integrations/robosuite/controllers/config/robots/panda_joint_ctrl.json (composite_controller_factory.py:121)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API server on 127.0.0.1:8116 is ready\n", + "init franka control api\n", + "init grasp net plan fn\n", + "init sam3 seg fn\n", + "ready: FrankaPickPlaceCodeEnv | FrankaControlApi\n" + ] + } + ], + "source": [ + "from capx.envs.configs.instantiate import instantiate\n", + "from capx.envs.launch import LaunchArgs\n", + "from capx.envs.runner import _start_api_servers\n", + "from capx.utils.launch_utils import _load_config\n", + "\n", + "SERVER_URL = \"http://localhost:13305/api/v1/chat/completions\"\n", + "CONFIG_PATH = \"env_configs/cube_stack/franka_robosuite_cube_stack.yaml\"\n", + "\n", + "TEMPERATURE = 0.2\n", + "MAX_TOKENS = 16384\n", + "\n", + "args = LaunchArgs(\n", + " config_path=CONFIG_PATH,\n", + " model=MODEL,\n", + " server_url=SERVER_URL,\n", + " temperature=TEMPERATURE,\n", + " max_tokens=MAX_TOKENS,\n", + ")\n", + "\n", + "# The config declares the servers it needs under `api_servers:`, and\n", + "# _load_config hands them back next to the factory for the env they serve.\n", + "env_factory, config, api_servers = _load_config(args)\n", + "\n", + "# SAM3, Contact-GraspNet and PyRoKi, one process each.\n", + "servers = _start_api_servers(api_servers, 900.0)\n", + "\n", + "# instantiate walks the _target_ entries in the YAML and builds the object graph:\n", + "# the code-execution env, the Robosuite task under it, and the FrankaControlApi\n", + "# holding the clients for the servers above.\n", + "env = instantiate(env_factory)\n", + "api = next(iter(env._apis.values()))\n", + "\n", + "# reset re-samples where the cubes land on the table\n", + "obs, _ = env.reset(options={\"trial\": 0}, seed=0)\n", + "\n", + "print(\"ready:\", type(env).__name__, \"|\", type(api).__name__)" + ] + }, + { + "cell_type": "markdown", + "id": "0e9da301", + "metadata": {}, + "source": [ + "## Generate a program for the task\n", + "\n", + "`ModelQueryArgs` carries the same values as `LaunchArgs`, and `query_model` is the chat-completions call underneath, so this is one HTTP round trip to the server you configured above. `obs[\"full_prompt\"]` is the two-message conversation the environment built for the scene it reset to." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e8414b9b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Time taken to query model: 15.58 seconds\n", + "import numpy as np\n", + "\n", + "# --- Step 1: Get necessary poses ---\n", + "\n", + "# Get pose for the green cube to calculate stacking height\n", + "green_pos, green_quat, green_extent = get_object_pose('green cube', return_bbox_extent=True)\n", + "\n", + "# Sample a grasp pose for the red cube (we will use this orientation)\n", + "red_grasp_pos, red_grasp_quat = sample_grasp_pose('red cube')\n", + "\n", + "# Get extent for the red cube to calculate stacking height\n", + "red_pos, red_quat, red_extent = get_object_pose('red cube', return_bbox_extent=True)\n", + "\n", + "# --- Step 2: Grasp the red cube ---\n", + "\n", + "# 1. Move to the grasp position with approach\n", + "goto_pose(red_grasp_pos, red_grasp_quat, z_approach=0.1)\n", + "\n", + "# 2. Close the gripper\n", + "close_gripper()\n", + "\n", + "# 3. Lift the cube to a safe height (at least +0.2m in Z)\n", + "lift_z = 0.2\n", + "lifted_pos = np.array([red_grasp_pos[0], red_grasp_pos[1], red_grasp_pos[2] + lift_z])\n", + "goto_pose(lifted_pos, red_grasp_quat) # Maintain the grasp orientation while lifting\n", + "\n", + "# --- Step 3: Calculate placement pose ---\n", + "\n", + "# Calculate the target Z height for placement\n", + "# place_z = green_center_z + green_extent[2]/2 + red_extent[2]/2\n", + "green_center_z = green_pos[2]\n", + "green_half_height = green_extent[2] / 2\n", + "red_half_height = red_extent[2] / 2\n", + "place_z = green_center_z + green_half_height + red_half_height\n", + "\n", + "# Determine the lateral placement position. We place it directly above the green cube's center.\n", + "placement_pos = np.array([green_pos[0], green_pos[1], place_z])\n", + "\n", + "# --- Step 4: Place the red cube ---\n", + "\n", + "# 1. Move to the placement position with approach\n", + "goto_pose(placement_pos, red_grasp_quat, z_approach=0.1)\n", + "\n", + "# 2. Open the gripper to release the cube\n", + "open_gripper()\n", + "\n", + "# Optional: Return to home pose\n", + "# home_pose()\n" + ] + } + ], + "source": [ + "from capx.llm.client import ModelQueryArgs, query_model\n", + "from capx.utils.launch_utils import _extract_code\n", + "\n", + "query_args = ModelQueryArgs(\n", + " model=MODEL,\n", + " server_url=SERVER_URL,\n", + " temperature=TEMPERATURE,\n", + " max_tokens=MAX_TOKENS,\n", + ")\n", + "\n", + "response = query_model(query_args, obs[\"full_prompt\"])\n", + "\n", + "blocks = _extract_code(response[\"content\"])\n", + "assert blocks, f\"no code in the reply - raise MAX_TOKENS?\\n{response['content'][-500:]}\"\n", + "\n", + "program = blocks[0]\n", + "print(program)" + ] + }, + { + "cell_type": "markdown", + "id": "ef463893", + "metadata": {}, + "source": [ + "## Run program\n", + "\n", + "**The generated code is the policy.**\n", + "\n", + "If it fails, the output will display how. `No detections` means the noun phrase did not ground, a traceback means the model got Python wrong (the most common failure for small models), and a clean run below `1.0` means the geometry was wrong." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "79aa2e95", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MIOpen(HIP): Warning [ParseAndLoadDb] File is unreadable: \"/usr/local/lib/python3.12/dist-packages/_rocm_sdk_libraries_gfx1151/share/miopen/db/gfx1151_20.HIP.fdb.txt\"\n", + "/ryzers/cap-x/capx/third_party/sam3/sam3/model/vitdet.py:504: UserWarning: Flash Efficient attention on Current AMD GPU is still experimental. Enable it with TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1. (Triggered internally at /__w/rockrel/rockrel/external-builds/pytorch/pytorch/aten/src/ATen/native/transformers/hip/sdp_utils.cpp:309.)\n", + " x = F.scaled_dot_product_attention(q, k, v)\n", + "/ryzers/cap-x/capx/third_party/sam3/sam3/model/vitdet.py:504: UserWarning: Mem Efficient attention on Current AMD GPU is still experimental. Enable it with TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1. (Triggered internally at /__w/rockrel/rockrel/external-builds/pytorch/pytorch/aten/src/ATen/native/transformers/hip/sdp_utils.cpp:360.)\n", + " x = F.scaled_dot_product_attention(q, k, v)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "a_grid_desc_m_ak_container_{5376, 1024}\n", + "b_grid_desc_n_bk_container_{512, 1024}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{5376, 512}\n", + "a_grid_desc_m_ak_container_{5376, 1024}\n", + "b_grid_desc_n_bk_container_{512, 1024}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{5376, 512}\n", + "a_grid_desc_m_ak_container_{5376, 1024}\n", + "b_grid_desc_n_bk_container_{512, 1024}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{5376, 512}\n", + "a_grid_desc_m_ak_container_{5376, 1024}\n", + "b_grid_desc_n_bk_container_{512, 1024}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{5376, 512}\n", + "a_grid_desc_m_ak_container_{5376, 1024}\n", + 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"a_grid_desc_m_ak_container_{21120, 512}\n", + "b_grid_desc_n_bk_container_{256, 512}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{21120, 256}\n", + "a_grid_desc_m_ak_container_{21120, 512}\n", + "b_grid_desc_n_bk_container_{256, 512}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{21120, 256}\n", + "a_grid_desc_m_ak_container_{21120, 512}\n", + "b_grid_desc_n_bk_container_{256, 512}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{21120, 256}\n", + "a_grid_desc_m_ak_container_{21120, 512}\n", + "b_grid_desc_n_bk_container_{256, 512}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{21120, 256}\n", + "a_grid_desc_m_ak_container_{21120, 512}\n", + "b_grid_desc_n_bk_container_{256, 512}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{21120, 256}\n", + "a_grid_desc_m_ak_container_{21120, 512}\n", + "b_grid_desc_n_bk_container_{256, 512}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{21120, 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"e_grid_desc_mblock_mperblock_nblock_nperblock_container_{21120, 256}\n", + "a_grid_desc_m_ak_container_{21120, 512}\n", + "b_grid_desc_n_bk_container_{256, 512}\n", + "e_grid_desc_mblock_mperblock_nblock_nperblock_container_{21120, 256}\n", + "INFO: 127.0.0.1:36574 - \"POST /segment HTTP/1.1\" 200 OK\n", + "Object position for green cube: [ 0.59241932 0.09679693 -0.08111711]\n", + "Object quaternion wxyz for green cube: [ 0.37774157 0.42647165 -0.73584845 -0.36600588]\n", + "Object extent for green cube: [0.07756438 0.07275727 0.06082484]\n", + "INFO: 127.0.0.1:35446 - \"POST /segment HTTP/1.1\" 200 OK\n", + "using local regions\n", + "Extracted Region Cube Size: 0.24717450141906738\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MIOpen(HIP): Warning [ParseAndLoadDb] File is unreadable: \"/usr/local/lib/python3.12/dist-packages/_rocm_sdk_libraries_gfx1151/share/miopen/db/gfx1151_20.HIP.fdb.txt\"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generated 2 grasps for object 1\n", + "INFO: 127.0.0.1:50466 - \"POST /plan HTTP/1.1\" 200 OK\n", + "Grasp sample position for red cube: [ 0.48996223 0.10227364 -0.09508278]\n", + "Grasp sample quaternion wxyz for red cube: [-0.17585823 0.22486646 0.95650228 0.06010337]\n", + "INFO: 127.0.0.1:60844 - \"POST /segment HTTP/1.1\" 200 OK\n", + "Object position for red cube: [ 0.49833099 0.0874119 -0.08493799]\n", + "Object quaternion wxyz for red cube: [-0.46784045 0.07469621 0.87915811 0.05125232]\n", + "Object extent for red cube: [0.05584644 0.04117704 0.03306428]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-08-17 22:04:16.784 | INFO | jaxls._problem:analyze:201 - Building optimization problem with 2 terms and 1 variables: 1 costs, 0 eq_zero, 1 leq_zero, 0 geq_zero\n", + "2026-08-17 22:04:16.799 | INFO | jaxls._problem:analyze:320 - Vectorizing constraint group with 1 constraints (constraint_leq_zero), 1 variables each: augmented_limit_residual\n", + "2026-08-17 22:04:17.140 | INFO | jaxls._problem:analyze:328 - Vectorizing group with 1 costs, 1 variables each: _pose_cost_analytical_jac\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO: 127.0.0.1:42810 - \"POST /ik HTTP/1.1\" 200 OK\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-08-17 22:04:18.784 | INFO | jaxls._problem:analyze:201 - Building optimization problem with 3 terms and 1 variables: 3 costs, 0 eq_zero, 0 leq_zero, 0 geq_zero\n", + "2026-08-17 22:04:18.803 | INFO | jaxls._problem:analyze:328 - Vectorizing group with 1 costs, 1 variables each: _pose_cost_analytical_jac\n", + "2026-08-17 22:04:18.809 | INFO | jaxls._problem:analyze:328 - Vectorizing group with 1 costs, 1 variables each: limit_residual\n", + "2026-08-17 22:04:18.815 | INFO | jaxls._problem:analyze:328 - Vectorizing group with 1 costs, 1 variables each: limit_velocity_cost\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO: 127.0.0.1:42824 - \"POST /ik HTTP/1.1\" 200 OK\n", + "INFO: 127.0.0.1:42832 - \"POST /ik HTTP/1.1\" 200 OK\n", + "INFO: 127.0.0.1:42836 - \"POST /ik HTTP/1.1\" 200 OK\n", + "INFO: 127.0.0.1:42852 - \"POST /ik HTTP/1.1\" 200 OK\n", + "reward 1.000 | solved True | terminated True\n", + "\n", + "----- program stdout (tail) -----\n", + "Object position for green cube: [ 0.59241932 0.09679693 -0.08111711]\n", + "Object quaternion wxyz for green cube: [ 0.37774157 0.42647165 -0.73584845 -0.36600588]\n", + "Object extent for green cube: [0.07756438 0.07275727 0.06082484]\n", + "Grasp sample position for red cube: [ 0.48996223 0.10227364 -0.09508278]\n", + "Grasp sample quaternion wxyz for red cube: [-0.17585823 0.22486646 0.95650228 0.06010337]\n", + "Object position for red cube: [ 0.49833099 0.0874119 -0.08493799]\n", + "Object quaternion wxyz for red cube: [-0.46784045 0.07469621 0.87915811 0.05125232]\n", + "Object extent for red cube: [0.05584644 0.04117704 0.03306428]\n", + "\n", + "Saved interaction video to /tmp/capx_notebook/video_notebook_run.mp4 (34 frames)\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "'/tmp/capx_notebook/video_notebook_run.mp4'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "env.enable_video_capture(True, clear=True)\n", + "\n", + "_, reward, terminated, _, info = env.step(program)\n", + "\n", + "print(f\"reward {reward:.3f} | solved {info['task_completed']} | terminated {terminated}\")\n", + "if info[\"stdout\"].strip():\n", + " print(\"\\n----- program stdout (tail) -----\\n\" + info[\"stdout\"][-2000:])\n", + "if info[\"sandbox_rc\"]:\n", + " print(\"\\n----- traceback (tail) -----\\n\" + info[\"stderr\"][-2000:])\n", + "\n", + "show_video(env)" + ] + }, + { + "cell_type": "markdown", + "id": "df40a962", + "metadata": {}, + "source": [ + "## Results over many layouts\n", + "\n", + "A single trial does not measure much. Each trial reseeds the cube positions, so a program that succeeds on one arrangement can fail on the next, and only a success rate over several trials is comparable between models.\n", + "\n", + "The cell below runs `launch.py` five times and prints the reward for each trial, followed by the success rate and the mean reward. Each trial also writes its own directory holding the generated program, the model's raw response, the prompt and an MP4 of the episode.\n", + "\n", + "Pass `oracle=True` to run the reference program instead of calling the model." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "4156e34d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/opt/capx-venv/bin/python capx/envs/launch.py --config-path env_configs/cube_stack/franka_robosuite_cube_stack.yaml --model Gemma-4-E2B-it-GGUF --server-url http://localhost:13305/api/v1/chat/completions --temperature 0.2 --max-tokens 16384 --total-trials 5 --num-workers 1 --output-dir /tmp/capx_notebook/eval\n", + "\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mNo private macro file found! (macros.py:57)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mIt is recommended to use a private macro file (macros.py:58)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mTo setup, run: python /ryzers/cap-x/capx/third_party/robosuite/robosuite/scripts/setup_macros.py (macros.py:59)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install. (__init__.py:32)\n", + "\u001b[1m\u001b[33m[robosuite WARNING] \u001b[0mCould not load the mink-based whole-body IK. Make sure you install related import properly, otherwise you will not be able to use the default IK controller setting for GR1 robot. (__init__.py:42)\n", + "/opt/capx-venv/lib/python3.12/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n", + " warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n", + "R1Pro not installed, skipping R1Pro APIs\n", + "LIBERO not installed!\n", + "R1Pro not installed!\n", + "API server on 127.0.0.1:8114 already running, skipping\n", + "API server on 127.0.0.1:8115 already running, skipping\n", + "API server on 127.0.0.1:8116 already running, skipping\n", + "\u001b[1m\u001b[32m[robosuite INFO] \u001b[0mLoading controller configuration from: capx/integrations/robosuite/controllers/config/robots/panda_joint_ctrl.json (composite_controller_factory.py:121)\n", + "init franka control api\n", + "init grasp net plan fn\n", + "init sam3 seg fn\n", + "\n", + "Running Trials: 0%| | 0/5 [00:00
    trial 1 · reward 0.000
    trial 2 · reward 0.001
    trial 3 · reward 1.000 · solved
    trial 4 · reward 0.053
    trial 5 · reward 1.000 · solved
    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5 episodes, 0.2 MB embedded\n" + ] + } + ], + "source": [ + "import base64\n", + "import subprocess\n", + "from pathlib import Path\n", + "\n", + "from IPython.display import HTML, display\n", + "\n", + "WIDTH = 240\n", + "THUMBS = Path(\"/tmp/capx_notebook/thumbs\")\n", + "THUMBS.mkdir(parents=True, exist_ok=True)\n", + "\n", + "try:\n", + " import imageio_ffmpeg\n", + "\n", + " FFMPEG = imageio_ffmpeg.get_ffmpeg_exe()\n", + "except Exception:\n", + " FFMPEG = \"ffmpeg\"\n", + "\n", + "\n", + "def scaled(video, dest, width=WIDTH):\n", + " \"\"\"Shrink a clip for embedding. -2 keeps the aspect ratio with the even\n", + " height h264 needs; a missing ffmpeg raises, so both failures fall back.\"\"\"\n", + " try:\n", + " done = subprocess.run(\n", + " [FFMPEG, \"-y\", \"-loglevel\", \"error\", \"-i\", str(video),\n", + " \"-vf\", f\"scale={width}:-2\", \"-an\", str(dest)],\n", + " capture_output=True, text=True,\n", + " )\n", + " except OSError:\n", + " return video\n", + " return dest if done.returncode == 0 and dest.exists() else video\n", + "\n", + "\n", + "def row(items):\n", + " return (\n", + " '
    ' + \"\".join(items) + \"
    \"\n", + " )\n", + "\n", + "\n", + "figures, embedded = [], 0\n", + "for t in trials:\n", + " video = next(iter(sorted(t[\"dir\"].glob(\"video_combined*.mp4\"))), None)\n", + " caption = f\"trial {t['trial']} · reward {t['reward']:.3f}\"\n", + " caption += \" · solved\" if t[\"solved\"] else \"\"\n", + " style = 'style=\"margin:0;text-align:center;font:12px/1.4 sans-serif\"'\n", + "\n", + " if video is None:\n", + " figures.append(\n", + " f'
    no video
    '\n", + " f\"
    {caption}
    \"\n", + " )\n", + " continue\n", + "\n", + " source = scaled(video, THUMBS / f\"trial_{t['trial']}.mp4\")\n", + " data = base64.b64encode(source.read_bytes()).decode()\n", + " embedded += len(data)\n", + " figures.append(\n", + " f'
    '\n", + " f\"
    {caption}
    \"\n", + " )\n", + "\n", + "# Half on top, the rest centred underneath: 3 over 2 for five trials\n", + "top = (len(figures) + 1) // 2\n", + "display(HTML(row(figures[:top]) + (row(figures[top:]) if len(figures) > top else \"\")))\n", + "print(f\"{len(figures)} episodes, {embedded / 1e6:.1f} MB embedded\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "15a73de8", + "metadata": {}, + "source": [ + "## Where the motion happens\n", + "\n", + "`goto_pose` is the one primitive that moves the arm, and it does three things worth knowing about. Every pose in this API is a gripper-tip pose, so it adds the 10.7 cm offset to the `panda_hand` link before solving, or the arm drives into the table. A non-zero `z_approach` makes it solve and execute *twice*, once at a standoff along the gripper's local -Z and once at the target, which is why the task prompt insists on `z_approach=0.1`. And it hands the previous joint configuration back to the solver, which then penalises joint velocity, so the elbow does not flip across the table between waypoints.\n", + "\n", + "The solve is nonlinear least squares over the joint vector, so it always returns something: an unreachable target comes back as the closest configuration it could find, with no error and no flag. When a program fails for no visible reason, suspect that first." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e534e525", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " def goto_pose(\n", + " self, position: np.ndarray, quaternion_wxyz: np.ndarray, z_approach: float = 0.0\n", + " ) -> None:\n", + " \"\"\"Go to pose using Inverse Kinematics.\n", + " There is no need to call a second goto_pose with the same position and quaternion_wxyz after calling it with z_approach.\n", + " Args:\n", + " position: (3,) XYZ in meters.\n", + " quaternion_wxyz: (4,) WXYZ unit quaternion.\n", + " z_approach: (float) Z-axis distance offset for goto_pose insertion approach motion. Will first arrive at position + z_approach meters in Z-axis before moving to the requested pose. Useful for more precise grasp approaches. Default is 0.0.\n", + " Returns:\n", + " None\n", + " \"\"\"\n", + " pos_str = np.array2string(np.asarray(position), precision=4)\n", + " approach_info = f\" (z_approach={z_approach:.3f})\" if z_approach != 0.0 else \"\"\n", + " self._log_step(\"goto_pose\", f\"Moving to position {pos_str}{approach_info} …\")\n", + "\n", + " pos = np.asarray(position, dtype=np.float64).reshape(3)\n", + " quat_wxyz = np.asarray(quaternion_wxyz, dtype=np.float64).reshape(4)\n", + " # Align with legacy env: apply TCP offset in end-effector frame\n", + " quat_xyzw = np.array(\n", + " [quat_wxyz[1], quat_wxyz[2], quat_wxyz[3], quat_wxyz[0]], dtype=np.float64\n", + " )\n", + " rot = SciRotation.from_quat(quat_xyzw)\n", + " offset_pos = pos + rot.apply(self._TCP_OFFSET)\n", + "\n", + " if self.real:\n", + " quat_wxyz = (vtf.SO3(wxyz=quat_wxyz) @ vtf.SO3.from_rpy_radians(0.0, 0.0, np.pi/4+np.pi/2)).wxyz\n", + "\n", + " if (\n", + " z_approach != 0.0\n", + " ): # If z_approach is not 0.0, approach the object from above by z_approach meters\n", + " z_offset_pos = offset_pos + rot.apply(np.array([0, 0, -z_approach]))\n", + "\n", + " if self.cfg is None or self.real:\n", + " self.cfg = self.ik_solve_fn(\n", + " target_pose_wxyz_xyz=np.concatenate([quat_wxyz, z_offset_pos]),\n", + " )\n", + " else:\n", + " self.cfg = self.ik_solve_fn(\n", + " target_pose_wxyz_xyz=np.concatenate([quat_wxyz, z_offset_pos]),\n", + " prev_cfg=self.cfg,\n", + " )\n", + " # prev_cfg = self.cfg\n", + "\n", + " # for i in range(15): # run w/ multiple iterations when using vel_cost ik solver\n", + " # self.cfg = self.ik_solve_fn(\n", + " # target_pose_wxyz_xyz=np.concatenate([quat_wxyz, offset_pos]),\n", + " # prev_cfg = prev_cfg,\n", + " # )\n", + " # if prev_cfg is not None:\n", + " # # print(f\"Error: {np.linalg.norm(self.cfg - prev_cfg)}\", np.allclose(self.cfg, prev_cfg, atol=1e-3))\n", + " # if np.allclose(self.cfg, prev_cfg, atol=1e-3):\n", + " # break\n", + " # else:\n", + " # prev_cfg = self.cfg\n", + "\n", + " joints_z_offset = np.asarray(self.cfg[:-1], dtype=np.float64).reshape(7)\n", + "\n", + " self._env.move_to_joints_blocking(joints_z_offset)\n", + "\n", + " if self.cfg is None or self.real:\n", + " self.cfg = self.ik_solve_fn(\n", + " target_pose_wxyz_xyz=np.concatenate([quat_wxyz, offset_pos]),\n", + " )\n", + " else:\n", + " self.cfg = self.ik_solve_fn(\n", + " target_pose_wxyz_xyz=np.concatenate([quat_wxyz, offset_pos]),\n", + " prev_cfg=self.cfg,\n", + " )\n", + " # prev_cfg = self.cfg\n", + "\n", + " # for i in range(15): # run w/ multiple iterations when using vel_cost ik solver\n", + " # self.cfg = self.ik_solve_fn(\n", + " # target_pose_wxyz_xyz=np.concatenate([quat_wxyz, offset_pos]),\n", + " # prev_cfg = prev_cfg,\n", + " # )\n", + " # if prev_cfg is not None:\n", + " # # print(f\"Error: {np.linalg.norm(self.cfg - prev_cfg)}\", np.allclose(self.cfg, prev_cfg, atol=1e-3))\n", + " # if np.allclose(self.cfg, prev_cfg, atol=1e-3):\n", + " # break\n", + " # else:\n", + " # prev_cfg = self.cfg\n", + " joints = np.asarray(self.cfg[:-1], dtype=np.float64).reshape(7)\n", + " self._env.move_to_joints_blocking(joints)\n", + " self._log_step_update(text=\"Motion complete.\")\n", + "\n" + ] + } + ], + "source": [ + "import inspect\n", + "\n", + "print(inspect.getsource(type(api).goto_pose))" + ] + }, + { + "cell_type": "markdown", + "id": "380163b8", + "metadata": {}, + "source": [ + "## System Prompt\n", + "\n", + "Two messages are used as prompts for the api calls, the ones handed to `query_model` above. The system message is one sentence, and the user message is the task description followed by an `APIs:` section that is not written by hand anywhere: CaP-X renders it from the signature and docstring of every primitive the program may call. So the docstrings *are* the prompt, and it cannot drift out of date with the code." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c6b6a4b1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "You are a helpful assistant that generates Python code to directly solve the task.\n", + "\n", + "You are controlling a Franka Emika robot with the API described below.\n", + "Goal: Pick up the red cube and gently stack it on top of the green cube, then release it.\n", + "\n", + "Key rules:\n", + "- The extent from get_object_pose(..., return_bbox_extent=True) is the FULL side length. Use extent[2]/2 for half-height.\n", + "- For placement orientation, reuse the grasp quaternion from sample_grasp_pose. Do NOT use the quaternion from get_object_pose (it is unreliable for orientation).\n", + "- Always use z_approach=0.1 when approaching an object for grasping or placing.\n", + "- After grasping, lift the cube to a safe height (at least +0.2m in Z) before moving laterally to the placement location.\n", + "- The stacking height formula is: place_z = green_center_z + green_extent[2]/2 + red_extent[2]/2\n", + "- Nothing should be dropped from a height. Always approach with z_approach for controlled descent.\n", + "\n", + "Write ONLY executable Python code (no code fences). Import numpy if needed.\n", + "\n", + "APIs:\n", + "\n", + "get_object_pose(object_name: str, return_bbox_extent: bool = False) -> tuple[numpy.ndarray, numpy.ndarray, numpy.ndarray | None]\n", + " Doc:\n", + " Get the pose of an object in the environment from a natural language description.\n", + " The quaternion from get_object_pose may be unreliable, so disregard it and use the grasp pose quaternion OR (0, 0, 1, 0) wxyz as the gripper down orientation if using this for placement position.\n", + " \n", + " Args:\n", + " object_name: The name of the object to get the pose of.\n", + " return_bbox_extent: Whether to return the extent of the oriented bounding box (oriented by quaternion_wxyz). Default is False.\n", + " \n", + " Returns:\n", + " position: (3,) XYZ in meters.\n", + " quaternion_wxyz: (4,) WXYZ unit quaternion.\n", + " bbox_extent: (3,) XYZ in meters (full side length, not half-length extent). If return_bbox_extent is False, returns None.\n", + "\n", + "sample_grasp_pose(object_name: str) -> tuple[numpy.ndarray, numpy.ndarray]\n", + " Doc:\n", + " Sample a grasp pose for an object in the environment from a natural language description.\n", + " Do use the grasp sample quaternion from sample_grasp_pose.\n", + " \n", + " Args:\n", + " object_name: The name of the object to sample a grasp pose for.\n", + " \n", + " Returns:\n", + " position: (3,) XYZ in meters.\n", + " quaternion_wxyz: (4,) WXYZ unit quaternion.\n", + "\n", + "goto_pose(position: numpy.ndarray, quaternion_wxyz: numpy.ndarray, z_approach: float = 0.0) -> None\n", + " Doc:\n", + " Go to pose using Inverse Kinematics.\n", + " There is no need to call a second goto_pose with the same position and quaternion_wxyz after calling it with z_approach.\n", + " Args:\n", + " position: (3,) XYZ in meters.\n", + " quaternion_wxyz: (4,) WXYZ unit quaternion.\n", + " z_approach: (float) Z-axis distance offset for goto_pose insertion approach motion. Will first arrive at position + z_approach meters in Z-axis before moving to the requested pose. Useful for more precise grasp approaches. Default is 0.0.\n", + " Returns:\n", + " None\n", + "\n", + "open_gripper() -> None\n", + " Doc:\n", + " Open gripper fully.\n", + " \n", + " Args:\n", + " None\n", + "\n", + "close_gripper() -> None\n", + " Doc:\n", + " Close gripper fully.\n", + " \n", + " Args:\n", + " None\n", + "\n", + "home_pose() -> None\n", + " Doc:\n", + " Move the robot to a safe home pose.\n", + " Args:\n", + " None\n", + " Returns:\n", + " None\n" + ] + } + ], + "source": [ + "system, user = obs[\"full_prompt\"]\n", + "\n", + "print(system[\"content\"])\n", + "print(user[\"content\"][0][\"text\"])" + ] + }, + { + "cell_type": "markdown", + "id": "895b0342", + "metadata": {}, + "source": [ + "> **Note:** nothing in that prompt describes the scene. There is no image, no object coordinates and no joint state, so the model writes the program blind, and every fact about the actual arrangement is obtained at runtime by the program itself, through the perception servers." + ] + }, + { + "cell_type": "markdown", + "id": "6a9bbf7f", + "metadata": {}, + "source": [ + "## Key Takeaways\n", + "\n", + "Now you know:\n", + "- How a Code-as-Policies agent differs from a tool-calling agent: one program written up front instead of one decision per step, and a success rate instead of a demo\n", + "- How to configure CaP-X against any OpenAI-compatible server, with `LaunchArgs` and `ModelQueryArgs` carrying the same `--model` and `--server-url` the CLI takes\n", + "- How the generated program gets from a noun phrase to motion: grounding into a mask, mask plus depth into a grasp pose, pose into joint angles through IK\n", + "- That the prompt is generated from the primitives' docstrings, so the API and its documentation cannot drift apart\n", + "- How to benchmark a locally served model and read the result\n", + "\n", + "## What to Try Next\n", + "\n", + "- Point `SERVER_URL` at a llama.cpp, Ollama or vLLM server, or at the OpenRouter proxy, and rerun from that cell down to understand how different models perform and how to use different backends\n", + "- Run `benchmark(..., oracle=True)` to see the stack succeed with no model in the loop, and use it as your control whenever a result looks wrong\n", + "- Edit a docstring in `FrankaControlApi` and watch the generated program change; you are editing the prompt. `/ryzers/cap-x` is an editable install, so the change lands on the next kernel restart\n", + "- Raise `temperature` and generate a few programs for the same scene, to see how much of the policy is the model guessing\n", + "\n", + "## References\n", + "\n", + "* [CaP-X](https://github.com/capgym/cap-x)\n", + "* [SAM 3](https://huggingface.co/facebook/sam3) · [Contact-GraspNet](https://github.com/NVlabs/contact_graspnet) · [PyRoKi](https://github.com/chungmin99/pyroki)\n", + "* [Robosuite](https://github.com/ARISE-Initiative/robosuite)\n", + "* [Lemonade](https://lemonade-server.ai/)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "CaP-X (ROCm)", + "language": "python", + "name": "capx" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/projects/LocalInference/README.md b/projects/LocalInference/README.md index cf677079..00ab9b71 100644 --- a/projects/LocalInference/README.md +++ b/projects/LocalInference/README.md @@ -4,9 +4,9 @@ Complete the notebooks in order: 1. `02_local_inference_with_lemonade.ipynb` 2. `03_robot_agents.ipynb` +3. `04_code_as_policies_with_capx.ipynb` -The second notebook starts a headless O3DE manipulation simulation and connects -a RAI robot agent to the Lemonade model from the first notebook. +The second notebook starts a headless O3DE manipulation simulation and connects a RAI robot agent to the Lemonade model from the first notebook. Environment checks: @@ -15,6 +15,7 @@ Environment checks: /ryzers/test_o3de.sh /ryzers/test_rai.sh /ryzers/test_lemonade-sdk.sh +/ryzers/test_capx.sh ``` Lemonade models are cached under `~/.cache/lemonade`. diff --git a/projects/LocalInference/capx_demo.py b/projects/LocalInference/capx_demo.py new file mode 100644 index 00000000..78cc2582 --- /dev/null +++ b/projects/LocalInference/capx_demo.py @@ -0,0 +1,318 @@ +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# Setup and reporting helpers for 04_code_as_policies_with_capx.ipynb. +# +# The notebook drives CaP-X through the framework's own API: LaunchArgs, +# _load_config, _start_api_servers, instantiate, ModelQueryArgs, query_model and +# env.step. Reading those calls is the point of the notebook, so what lives here +# is only what would bury them - the process setup a Jupyter kernel does not +# inherit, the Lemonade bring-up that notebooks 02 and 03 already covered, and +# the frame-by-frame video and artifact plumbing around a run. + +import os + +# MuJoCo picks its GL backend at import time and only once, so this has to be +# set before anything below reaches mujoco. EGL renders on the AMD GPU with no +# display attached. The CaP-X kernel sets it too; this is what also makes the +# module importable from a plain terminal python. +os.environ.setdefault("MUJOCO_GL", "egl") +os.environ.setdefault("PYOPENGL_PLATFORM", "egl") + +import base64 # noqa: E402 +import re # noqa: E402 +import subprocess # noqa: E402 +import sys # noqa: E402 +from pathlib import Path # noqa: E402 + +import numpy as np # noqa: E402 +import requests # noqa: E402 + +CAPX_ROOT = Path(os.environ.get("CAPX_ROOT", "/ryzers/cap-x")) + +# capx resolves config paths, robot assets and controller configs relative to +# the repo root, which is why every launch.py invocation in the README is +# preceded by a cd. A kernel starts in the notebook's directory instead. +if CAPX_ROOT.is_dir(): + os.chdir(CAPX_ROOT) + +try: + import capx # noqa: F401,E402 +except ModuleNotFoundError as exc: + raise RuntimeError( + "The CaP-X stack is not on this interpreter's path. In Jupyter, pick the " + "'CaP-X (ROCm)' kernel from the menu in the top right." + ) from exc + +LEMONADE_PORT = 13305 +DEFAULT_MODEL = "Gemma-4-E2B-it-GGUF" + +# The script notebook 03 sources in a terminal, reused here for its --serve-only half +LEMONADE_ENV = Path(os.environ.get("LEMONADE_ENV", "/ryzers/lemonade_env.sh")) + +# Scratch space for the episode videos and the benchmark artifacts +WORK = Path("/tmp/capx_notebook") + +TRIAL_DIR = re.compile(r"trial_(\d+)_sandboxrc_(\d+)_reward_([\d.]+)_taskcompleted_(\d)") + + +# --------------------------------------------------------------------------- +# The model server +# --------------------------------------------------------------------------- + + +def lemonade_alive(timeout: float = 2.0) -> bool: + try: + return requests.get( + f"http://localhost:{LEMONADE_PORT}/api/v1/health", timeout=timeout + ).ok + except requests.RequestException: + return False + + +def ensure_lemonade(model: str = DEFAULT_MODEL, progress=print) -> None: + """Serve the model, by handing off to the script that already knows how. + + lemonade_env.sh is the same script notebook 03 sources in a terminal, and + its --serve-only path is exactly the part CaP-X needs: start lemond if it is + down, wait for it, load the model. The rest of that script rewrites RAI's + config.toml and sources the ROS overlay, which is why this runs it in a + subshell with the flag rather than trying to source it into the kernel. + + Safe to call again, since every step in there is a no-op once done. + """ + if lemonade_alive(): + progress(f"Lemonade is already up on port {LEMONADE_PORT}, loading {model}...") + else: + progress(f"Starting Lemonade and loading {model}...") + progress(" the first load downloads the GGUF and takes a few minutes") + + # Streamed rather than captured: the download prints nothing until it + # finishes, and a silent cell for several minutes reads as a hang. stdin is + # closed so a prompt fails loudly instead of blocking forever, and setsid + # leaves lemond orphaned onto PID 1 so a kernel restart does not kill it. + proc = subprocess.Popen( + ["setsid", "bash", str(LEMONADE_ENV), "--serve-only", model], + stdin=subprocess.DEVNULL, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + text=True, + bufsize=1, + ) + for line in proc.stdout: + progress(f" {line.rstrip()}") + proc.wait() + + if proc.returncode != 0 or not lemonade_alive(): + raise RuntimeError( + f"{LEMONADE_ENV} --serve-only {model} failed (exit {proc.returncode}) " + "- see /tmp/lemond.log" + ) + progress(f"{model} is loaded and serving on port {LEMONADE_PORT}") + + +# --------------------------------------------------------------------------- +# Watching an episode +# --------------------------------------------------------------------------- + + +def show_video(env, name: str = "notebook_run", width: int = 640) -> str | None: + """Encode the frames captured during the last step and play them inline. + + env.get_video_frames returns raw frames, so this is the encode-and-embed + dance rather than anything about CaP-X. + """ + from IPython.display import Video, display + + from capx.utils.video_utils import _write_video + + frames = env.get_video_frames(clear=True) + if not frames: + print("no frames captured - was enable_video_capture called before the step?") + return None + + WORK.mkdir(parents=True, exist_ok=True) + _write_video(frames, str(WORK), suffix=name) + path = str(WORK / f"video_{name}.mp4") + display(Video(path, embed=True, width=width)) + return path + + +def _ffmpeg() -> str: + """The ffmpeg binary, preferring the one imageio ships with.""" + try: + import imageio_ffmpeg + + return imageio_ffmpeg.get_ffmpeg_exe() + except Exception: + return "ffmpeg" + + +def _scaled(video: Path, dest: Path, width: int) -> Path: + """Scale a clip down for embedding, falling back to the original. + + -2 keeps the aspect ratio and rounds the height to an even number, which + h264 requires. -an drops the (silent) audio track. A missing ffmpeg raises + rather than returning non-zero, so both failures are caught here. + """ + try: + done = subprocess.run( + [_ffmpeg(), "-y", "-loglevel", "error", "-i", str(video), + "-vf", f"scale={width}:-2", "-an", str(dest)], + capture_output=True, text=True, + ) + except OSError: + return video + return dest if done.returncode == 0 and dest.exists() else video + + +def show_trial_grid(trials: list[dict], width: int = 240, progress=print) -> None: + """Every trial's episode, side by side, captioned with its reward. + + Each clip is scaled down first and then embedded in the page, because a + notebook cannot play a file from /tmp: the browser never sees that path. + Scaling is what keeps five embedded videos smaller than one full-size one. + """ + from IPython.display import HTML, display + + thumbs = WORK / "thumbs" + thumbs.mkdir(parents=True, exist_ok=True) + + figures = [] + embedded = 0 + for t in trials: + video = next(iter(sorted(t["dir"].glob("video_combined*.mp4"))), None) + caption = f"trial {t['trial']} · reward {t['reward']:.3f}" + caption += " · solved" if t["solved"] else "" + + if video is None: + figures.append( + f'
    ' + f'
    no video
    {caption}
    ' + ) + continue + + source = _scaled(video, thumbs / f"trial_{t['trial']}.mp4", width) + if source is video: + progress(f" could not scale {video.name}, embedding it as it is") + + data = base64.b64encode(source.read_bytes()).decode() + embedded += len(data) + figures.append( + f'
    ' + f'' + f"
    {caption}
    " + ) + + # Half the clips on top and the rest centred underneath, so five trials + # read as a pyramid rather than as a row that wraps wherever it happens to. + def row(items: list[str]) -> str: + return ( + '
    ' + "".join(items) + "
    " + ) + + top = (len(figures) + 1) // 2 + display(HTML(row(figures[:top]) + (row(figures[top:]) if len(figures) > top else ""))) + progress(f"{len(figures)} episodes, {embedded / 1e6:.1f} MB embedded in this notebook") + + +# --------------------------------------------------------------------------- +# The benchmark +# --------------------------------------------------------------------------- + + +def benchmark( + model: str, + server_url: str, + config_path: str, + temperature: float = 0.2, + max_tokens: int = 16384, + trials: int = 5, + oracle: bool = False, + progress=print, +) -> list[dict]: + """Run launch.py over N layouts and report the success rate. + + launch.py is the framework's own entry point, so it starts its own servers. + The notebook's are already listening, so it finds those ports busy and skips + them. + + Keep one worker: Lemonade serves one request at a time and the perception + servers serialise GPU access, so more only queue. With oracle=True the + hand-written reference program runs instead of the model, which is the + control to reach for when a result looks wrong. + """ + out_dir = WORK / "eval" + cmd = [ + sys.executable, "capx/envs/launch.py", + "--config-path", config_path, + "--model", model, + "--server-url", server_url, + "--temperature", str(temperature), + "--max-tokens", str(max_tokens), + "--total-trials", str(trials), + "--num-workers", "1", + "--output-dir", str(out_dir), + ] + if oracle: + cmd.append("--use-oracle-code") + progress(" ".join(cmd) + "\n") + + proc = subprocess.Popen( + cmd, cwd=str(CAPX_ROOT), stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, text=True, bufsize=1, + ) + for line in proc.stdout: + progress(line.rstrip()) + proc.wait() + + return read_results(out_dir, model, progress=progress) + + +def read_results(out_dir: Path, model: str, progress=print) -> list[dict]: + """Collect the per-trial artifacts launch.py just wrote. + + Every trial gets a directory whose name carries its result, and the run + splices the model name into the path so a second model does not overwrite + the first. That is why the results are not where --output-dir said. + """ + root = out_dir.parent / model.replace("/", "_") / out_dir.name + if not root.is_dir(): + # Upstream may sanitise the model name differently; take the newest. + found = sorted(out_dir.parent.glob(f"*/{out_dir.name}"), key=lambda p: p.stat().st_mtime) + if not found: + progress(f"no results under {out_dir.parent}") + return [] + root = found[-1] + + summary = root / "summaries.txt" + if summary.exists(): + progress("\n" + summary.read_text()) + + trials = [] + for d in sorted(root.glob("trial_*")): + m = TRIAL_DIR.match(d.name) + if m: + trials.append({ + "trial": int(m[1]), + "error": m[2] != "0", + "reward": float(m[3]), + "solved": m[4] == "1", + "dir": d, + }) + + progress(f"{'trial':>5} {'sandbox':>8} {'reward':>7} {'solved':>7}") + for t in trials: + progress( + f"{t['trial']:>5} {'error' if t['error'] else 'ok':>8} " + f"{t['reward']:>7.3f} {str(t['solved']):>7}" + ) + if trials: + solved = sum(t["solved"] for t in trials) + mean = np.mean([t["reward"] for t in trials]) + progress(f"\nsuccess rate: {solved}/{len(trials)} mean reward: {mean:.3f}") + return trials diff --git a/projects/LocalInference/lemonade_env.sh b/projects/LocalInference/lemonade_env.sh index e55dc872..c5d106cd 100755 --- a/projects/LocalInference/lemonade_env.sh +++ b/projects/LocalInference/lemonade_env.sh @@ -2,30 +2,53 @@ # Source me, don't run me: source lemonade_env.sh [MODEL] # Preps the container to run RAI benchmarks against a LOCAL Lemonade model, # then leaves the benchmark command up to you. +# +# Serving the model is useful on its own, without any of the RAI or ROS setup +# that follows it, so that half can be run in a subshell instead: +# bash lemonade_env.sh --serve-only [MODEL] +# That is what notebook 04 does. It skips the config.toml rewrite and the ROS +# overlay below, which belong to RAI and would put the wrong cwd and the wrong +# Python packages on the CaP-X kernel. + +SERVE_ONLY=0 +if [ "${1:-}" = "--serve-only" ]; then + SERVE_ONLY=1 + shift +fi MODEL="${1:-Gemma-4-E2B-it-GGUF}" # Start lemond if it isn't already up; log to /tmp/lemond.log if ! lemonade status >/dev/null 2>&1; then lemond > /tmp/lemond.log 2>&1 & - until lemonade status >/dev/null 2>&1; do sleep 1; done # wait for server + # Bounded, so a server that never binds fails here instead of hanging the + # shell (or, under --serve-only, the caller waiting on this script) + for _ in $(seq 300); do + lemonade status >/dev/null 2>&1 && break + sleep 1 + done + if ! lemonade status >/dev/null 2>&1; then + echo "lemond did not come up - see /tmp/lemond.log" >&2 + return 1 2>/dev/null || exit 1 + fi fi # Load the model (downloads on first use; no-op if already loaded) lemonade load "$MODEL" -# Point RAI's [openai] base_url at Lemonade. Sets it regardless of current -# value, so this works no matter which backend you ran last. -sed -i 's|^base_url = .*|base_url = "http://localhost:13305/api/v0"|' /ryzers/rai/config.toml -export OPENAI_API_KEY="lemonade" # dummy; Lemonade ignores it -# Point the [openai] model name to do the same sourced in lemonade. -sed -i '/^\[openai\]/,/^\[/{s|^simple_model = .*|simple_model = "'"$MODEL"'"|; s|^complex_model = .*|complex_model = "'"$MODEL"'"|}' /ryzers/rai/config.toml +if [ "$SERVE_ONLY" -eq 0 ]; then + # Point RAI's [openai] base_url at Lemonade. Sets it regardless of current + # value, so this works no matter which backend you ran last. + sed -i 's|^base_url = .*|base_url = "http://localhost:13305/api/v0"|' /ryzers/rai/config.toml + export OPENAI_API_KEY="lemonade" # dummy; Lemonade ignores it + # Point the [openai] model name to do the same sourced in lemonade. + sed -i '/^\[openai\]/,/^\[/{s|^simple_model = .*|simple_model = "'"$MODEL"'"|; s|^complex_model = .*|complex_model = "'"$MODEL"'"|}' /ryzers/rai/config.toml -# ROS env (runtime = interactive bash, so .bash) -cd /ryzers/rai -source /opt/ros/jazzy/setup.bash -source install/setup.bash + # ROS env (runtime = interactive bash, so .bash) + cd /ryzers/rai + source /opt/ros/jazzy/setup.bash + source install/setup.bash +fi # Headless run only since this script is for the roscon26 conference -echo "Lemonade ready. Run e.g.:" -echo " bash /ryzers/manipulation_demo_headless.sh" \ No newline at end of file +echo "Lemonade ready" diff --git a/projects/LocalInference/tests/test_capx.sh b/projects/LocalInference/tests/test_capx.sh new file mode 100755 index 00000000..613a8894 --- /dev/null +++ b/projects/LocalInference/tests/test_capx.sh @@ -0,0 +1,164 @@ +#!/bin/bash +# Copyright (C) 2026 Advanced Micro Devices, Inc. All rights reserved. +# SPDX-License-Identifier: MIT +# +# Test for the CaP-X stack used by 04_code_as_policies_with_capx.ipynb. +# Three stages: +# 1. Sign-of-life: ROCm torch sees the GPU, the stack and Robosuite import, +# MuJoCo renders headless through EGL, and the SAM3 weights are in the +# image cache. +# 2. Oracle eval (always runs, no LLM): one full CaP-Gym episode driven by the +# environment's ground-truth code through the real sim + PyRoKi IK +# pipeline, asserting task success (reward 1.0). This is the deterministic +# correctness check for the eval pipeline on ROCm. +# 3. LLM eval (optional): a short real agentic eval - the model writes code, +# the sim executes it, the run is scored. Runs against Lemonade if it is +# already serving, or against any OpenAI-compatible endpoint given in +# CAPX_LLM_SERVER_URL. +set -euo pipefail + +CAPX_ROOT="${CAPX_ROOT:-/ryzers/cap-x}" +CAPX_PY="${CAPX_VENV:-/opt/capx-venv}/bin/python" +# The CaP-X kernel sets this too; a terminal run needs it to find the +# pre-fetched SAM3 weights instead of trying to download gated ones. +export HF_HOME="${CAPX_CACHE:-/opt/capx-cache}" +export MUJOCO_GL=egl +export PYOPENGL_PLATFORM=egl + +cd "${CAPX_ROOT}" + +echo "================ [1/3] CaP-X / ROCm sign-of-life ================" +"${CAPX_PY}" -c " +import torch +print(f'PyTorch : {torch.__version__}') +print(f'ROCm/HIP: {torch.version.hip}') +print(f'GPU ok : {torch.cuda.is_available()}') +if torch.version.hip is None: + raise SystemExit('This is not a ROCm/HIP PyTorch build') +if not torch.cuda.is_available(): + raise SystemExit('No ROCm GPU visible - check /dev/kfd and /dev/dri') +for i in range(torch.cuda.device_count()): + print(f' device {i}: {torch.cuda.get_device_name(i)}') +" + +# jax is CPU-only by design (matches CaP-X's lock: jax 0.4.29, no GPU plugin). +"${CAPX_PY}" -c " +import capx, sam3, contact_graspnet_pytorch +import jax; print('jax', jax.__version__, 'devices (CPU expected):', jax.devices()) +import pyroki, jaxls +import robosuite; print('robosuite', robosuite.__version__) +from capx.integrations import list_apis +assert 'FrankaControlApi' in list_apis(), 'perception API not registered' +print('capx + pyroki + API import OK') +" + +"${CAPX_PY}" -c " +import mujoco +m = mujoco.MjModel.from_xml_string('') +d = mujoco.MjData(m) +r = mujoco.Renderer(m, 64, 64) +try: + mujoco.mj_forward(m, d) + r.update_scene(d) + print('EGL render OK, frame shape', r.render().shape) +finally: + r.close() +" + +"${CAPX_PY}" -c " +from pathlib import Path +config = Path('${CAPX_ROOT}/env_configs/cube_stack/franka_robosuite_cube_stack.yaml') +assert config.is_file(), f'{config} missing' +hub = Path('${HF_HOME}/hub') +repo = 'models--facebook--sam3' +assert (hub / repo).is_dir(), f'SAM3 weights not cached: {repo}' +print('cube_stack config and pre-fetched SAM3 weights OK') +" + +echo "================ [2/3] Oracle eval (no LLM) ================" +# The oracle path runs the full sim + control pipeline using ground-truth code. +# It only needs the PyRoKi IK server - no LLM, no segmentation, no GraspNet. +PYROKI_PID="" +cleanup_pyroki() { + if [ -n "${PYROKI_PID:-}" ] && kill -0 "$PYROKI_PID" 2>/dev/null; then + kill "$PYROKI_PID" 2>/dev/null || true + wait "$PYROKI_PID" 2>/dev/null || true + fi +} +trap cleanup_pyroki EXIT + +"${CAPX_PY}" capx/serving/launch_pyroki_server.py \ + --port 8116 --robot panda_description --target-link panda_hand \ + > /tmp/pyroki.log 2>&1 & +PYROKI_PID=$! + +echo "waiting for PyRoKi IK server..." +PYROKI_READY=0 +for i in $(seq 1 120); do + if curl -sf http://127.0.0.1:8116/ik -X POST -H "Content-Type: application/json" \ + -d '{"target_pose_wxyz_xyz":[1,0,0,0,0.4,0,0.3]}' >/dev/null 2>&1; then + echo "PyRoKi ready (warmed JAX JIT) after ${i}s" + PYROKI_READY=1 + break + fi + sleep 1 +done +if [ "$PYROKI_READY" -ne 1 ]; then + echo "PyRoKi failed to become ready" + cat /tmp/pyroki.log + exit 1 +fi + +if ! ORACLE_OUT=$(timeout 400 "${CAPX_PY}" tests/test_environments.py \ + --env-name franka_robosuite_pick_place_code_env 2>&1); then + echo "ORACLE EVAL FAILED" + tail -20 <<<"$ORACLE_OUT" + exit 1 +fi +grep -aE "Time taken:|Reward:|Success" <<<"$ORACLE_OUT" | tail -4 || true +cleanup_pyroki +trap - EXIT + +if grep -aq '^Success$' <<<"$ORACLE_OUT"; then + echo "ORACLE EVAL PASSED (reward 1.0)" +else + echo "ORACLE EVAL FAILED" + tail -20 <<<"$ORACLE_OUT" + exit 1 +fi + +echo "================ [3/3] LLM eval (optional) ================" +# Default to the Lemonade server from notebook 02 when it is already serving. +if [ -z "${CAPX_LLM_SERVER_URL:-}" ] && lemonade status >/dev/null 2>&1; then + CAPX_LLM_SERVER_URL="http://localhost:13305/api/v1/chat/completions" + CAPX_LLM_MODEL="${CAPX_LLM_MODEL:-Gemma-4-E2B-it-GGUF}" +fi + +if [ -z "${CAPX_LLM_SERVER_URL:-}" ]; then + echo "SKIPPED - start Lemonade (lemond &) or set CAPX_LLM_SERVER_URL and" + echo "CAPX_LLM_MODEL to run an agentic eval against an OpenAI-compatible" + echo "endpoint." +else + MODEL="${CAPX_LLM_MODEL:-Gemma-4-E2B-it-GGUF}" + TRIALS="${CAPX_LLM_TRIALS:-2}" + echo "Running ${TRIALS}-trial eval: model=${MODEL} server=${CAPX_LLM_SERVER_URL}" + LLM_LOG=$(mktemp) + if ! timeout 1800 "${CAPX_PY}" capx/envs/launch.py \ + --config-path env_configs/cube_stack/franka_robosuite_cube_stack.yaml \ + --model "${MODEL}" \ + --server-url "${CAPX_LLM_SERVER_URL}" \ + --api-key "${CAPX_LLM_API_KEY:-}" \ + --total-trials "${TRIALS}" \ + --num-workers 1 \ + --max-tokens 4096 >"$LLM_LOG" 2>&1; then + echo "LLM EVAL FAILED" + tail -40 "$LLM_LOG" + rm -f "$LLM_LOG" + exit 1 + fi + grep -aE "Trial [0-9]+ took|reward_|task_completed|Time taken to query" "$LLM_LOG" | tail -12 || true + rm -f "$LLM_LOG" + echo "LLM EVAL COMPLETE (see outputs// for rewards and videos)" +fi + +echo "================ CaP-X tests PASSED ================" From beb1d5a50a0976cb3549e85023ba111b747e523a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Luiz=20Godoy?= Date: Mon, 17 Aug 2026 15:53:38 -0700 Subject: [PATCH 13/35] Removed part that suggested users to open new port for Lemonade's interactive demo --- .../02_local_inference_with_lemonade.ipynb | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/projects/LocalInference/02_local_inference_with_lemonade.ipynb b/projects/LocalInference/02_local_inference_with_lemonade.ipynb index 12f707f2..172315e5 100644 --- a/projects/LocalInference/02_local_inference_with_lemonade.ipynb +++ b/projects/LocalInference/02_local_inference_with_lemonade.ipynb @@ -52,14 +52,7 @@ "- `lemond &` starts the Lemonade server in the background, exposing an OpenAI-compatible API on port `13305`\n", "- `lemonade pull` downloads the model if not already cached (stored in `~/.cache/lemonade/`)\n", "- `lemonade run` loads the model into memory on the iGPU (via ROCm) and opens an interactive chat\n", - "- The server is ready to accept text queries for LLM inference\n", - "\n", - "## Open Chat\n", - "\n", - "Lemonade also ships a browser-based chat UI on the same port:\n", - "```\n", - "http://localhost:13305\n", - "```" + "- The server is ready to accept text queries for LLM inference" ] }, { From d04b95ac3d7fba3442125a6ec1a5e75071c2837c Mon Sep 17 00:00:00 2001 From: Monti Date: Tue, 18 Aug 2026 10:57:26 -0400 Subject: [PATCH 14/35] Add PandaPickCube inference demo to RLLearning. Stage hands-on.ipynb, headless rendering helpers, the Brax checkpoint archive, and a Dockerfile that pre-installs the inference stack and extracts the checkpoint for the course image. --- dockerfiles/Courses/RLLearning/Dockerfile | 45 +- projects/RLLearning/.gitignore | 10 + .../PandaPickCube-20260817-150103.zip | Bin 0 -> 7558677 bytes projects/RLLearning/README.md | 26 +- projects/RLLearning/hands-on.ipynb | 508 ++++++++++++++++++ projects/RLLearning/headless_gl.py | 188 +++++++ projects/RLLearning/pixi.toml | 13 + .../RLLearning/scripts/render_trajectory.py | 74 +++ 8 files changed, 858 insertions(+), 6 deletions(-) create mode 100644 projects/RLLearning/.gitignore create mode 100644 projects/RLLearning/PandaPickCube-20260817-150103.zip create mode 100644 projects/RLLearning/hands-on.ipynb create mode 100644 projects/RLLearning/headless_gl.py create mode 100644 projects/RLLearning/pixi.toml create mode 100644 projects/RLLearning/scripts/render_trajectory.py diff --git a/dockerfiles/Courses/RLLearning/Dockerfile b/dockerfiles/Courses/RLLearning/Dockerfile index 43b9bd60..75e46a91 100644 --- a/dockerfiles/Courses/RLLearning/Dockerfile +++ b/dockerfiles/Courses/RLLearning/Dockerfile @@ -4,12 +4,55 @@ ARG BASE_IMAGE=ghcr.io/amdresearch/auplc-base:latest FROM ${BASE_IMAGE} +ARG PLAYGROUND_COMMIT=cf88ae6e9c38654199d85c5c976795a7dc350571 + USER root +SHELL ["/bin/bash", "-c"] + +RUN apt-get update && apt-get install -y --no-install-recommends \ + ca-certificates \ + curl \ + git \ + unzip \ + && rm -rf /var/lib/apt/lists/* + +# Pixi provides the Mesa stack used by headless_gl.py for MuJoCo rendering. +RUN curl -fsSL https://pixi.sh/install.sh | PIXI_HOME=/opt/pixi PIXI_NO_PATH_UPDATE=1 bash \ + && ln -s /opt/pixi/bin/pixi /usr/local/bin/pixi + RUN mkdir -p /ryzers/notebooks # The build script stages projects/RLLearning as course_data. COPY ./course_data /ryzers/notebooks -RUN chown -R jovyan:100 /ryzers + +WORKDIR /ryzers/notebooks +RUN unzip -q PandaPickCube-20260817-150103.zip \ + && chown -R jovyan:100 /ryzers USER jovyan WORKDIR /ryzers/notebooks +ENV PATH="/opt/pixi/bin:${PATH}" + +RUN pixi install + +# Pre-install the inference stack so hands-on.ipynb can skip section 1 in the image. +RUN pip install --no-cache-dir \ + "mujoco==3.10.0" \ + "mujoco-mjx==3.10.0" \ + "jax==0.10.0" \ + "jaxlib==0.10.0" \ + "brax==0.14.2" \ + "flax" \ + "orbax-checkpoint>=0.11.22" \ + "etils" \ + "ml-collections" \ + "mediapy" \ + "imageio" \ + "imageio-ffmpeg" \ + "absl-py" \ + "lxml" \ + "tqdm" \ + && pip install --no-cache-dir --no-deps \ + "git+https://github.com/google-deepmind/mujoco_playground.git@${PLAYGROUND_COMMIT}" + +RUN python -c "import brax, jax, mujoco; from mujoco_playground import registry; print('PandaPickCube inference env OK')" diff --git a/projects/RLLearning/.gitignore b/projects/RLLearning/.gitignore new 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