add dockerfile and setup

README.md

@@ -677,20 +677,23 @@ pip install -r requirements.txt
 
 ### Installation with docker
 
-You can also initialize the environment by building the docker image. First clone this repository:
-```shell
-git clone --depth 1 https://github.com/inclusionAI/Ming-UniAudio
-cd Ming-UniAudio
-```
-Then build the docker image with the provided Dockerfile in `docker/docker-py310-cu121`. This step might take a while:
-```shell
-docker build -t ming:py310-cu121 docker/docker-py310-cu121
+You can set up the environment using Docker in two ways.
+- Option 1: Pull from Docker Hub (**Recommended**)
+```bash
+# 1. Pull the pre-built image
+docker pull yongjielv/ming_uniaudio:v1.0
+
+# 2. Run the container
+docker run -it --gpus all yongjielv/ming_uniaudio:v1.0 /bin/bash
 ```
-At last, start the container with the current repo directory mounted:
-```shell
-docker run -it --gpus all -v "$(pwd)":/workspace/Ming-UniAudio ming:py310-cu121 ming:py310-cu121 /bin/bash
+- Option 2: Build from Source
+``` bash
+# 1. Build the image
+docker build -t ming-uniaudio:v1.0 -f ./docker/ming_uniaudio.dockerfile .
+
+# 2. Run the container
+docker run -it --gpus all ming-uniaudio:v1.0 /bin/bash
 ```
-You can run the model with python interface. You may download the huggingface model in the repo directory first (`.../Ming-UniAudio/`) or mount the downloaded model path when starting the container.
 
 
 ## Example Usage

docker/ming_uniaudio.dockerfile

@@ -0,0 +1,67 @@
+FROM pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Asia/Shanghai
+
+RUN sed -i 's|http://archive.ubuntu.com/ubuntu|https://mirrors.aliyun.com/ubuntu|g' /etc/apt/sources.list && \
+    sed -i 's|http://security.ubuntu.com/ubuntu|https://mirrors.aliyun.com/ubuntu|g' /etc/apt/sources.list && \
+    apt-get clean && \
+    apt-get update
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        git \
+        wget \
+        vim \
+        libsndfile1 \
+        build-essential \
+        python3-dev \
+        && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN ln -s /usr/bin/python3.11 /usr/bin/python && \
+    ln -s /usr/bin/pip3.11 /usr/bin/pip
+
+RUN pip install --no-cache-dir --upgrade pip
+RUN pip config set global.index-url https://pypi.mirrors.ustc.edu.cn/simple/
+
+RUN pip install --no-cache-dir \
+    torch==2.6.0 \
+    torchaudio==2.6.0 \
+    torchvision==0.21.0
+
+
+ENV FORCE_CUDA="1"
+# A100: 8.0, RTX 30xx: 8.6, RTX 40xx/H100: 8.9 or 9.0
+ENV TORCH_CUDA_ARCH_LIST="8.0"
+ENV GROUPED_GEMM_CUTLASS="1"
+
+ENV CUDA_HOME=/usr/local/cuda
+ENV CUDA_ROOT=/usr/local/cuda
+ENV PATH=/usr/local/cuda/bin:$PATH
+ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
+
+RUN pip install --no-cache-dir --no-build-isolation \
+    tokenizers \
+    # grouped_gemm==0.1.4 \
+    peft==0.13.2 \
+    diffusers==0.33.0 \
+    decord==0.6.0 \
+    hyperpyyaml==1.2.2 \
+    soundfile==0.12.1 \
+    transformers==4.52.4 \
+    x_transformers \
+    torchdiffeq \
+    torchtune \
+    torchao
+
+ARG FLASH_ATTN_WHEEL=flash_attn-2.7.0.post1+cu12torch2.5cxx11abiFALSE-cp311-cp311-linux_x86_64.whl
+ARG FLASH_ATTN_URL=https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.0.post1/${FLASH_ATTN_WHEEL}
+RUN wget -q ${FLASH_ATTN_URL} -O /tmp/${FLASH_ATTN_WHEEL} && \
+    pip install --no-cache-dir /tmp/${FLASH_ATTN_WHEEL} && \
+    rm /tmp/${FLASH_ATTN_WHEEL}
+
+WORKDIR /app
+
+CMD ["/bin/bash"]