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Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The self-hosted runner has all Python versions pre-installed. setup-python was stuck downloading Python from GitHub due to slow network. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Generate 5 ONNX models using supported ops (add, mixed_ops, deep_relu, matmul, maxpool_relu). Benchmark measures parse/optimize/codegen timing across both RISC-V and LLVM backends. 25 pytest tests integrated with CI. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Add __main__.py entry point so "python -m scratchv" works. Fix all flake8 errors across the codebase: E501 (line too long), F401 (unused imports), F841 (unused variables), F541 (f-string without placeholders), E221 (multiple spaces before operator), E306 (missing blank line), E122/E127/E128/E131 (indentation), and a duplicate __future__ import. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Resolve all 48 mypy errors across 12 files: add Optional type hints, assert-based type narrowing for Optional[str|int] values, fix tuple syntax in annotations, and add missing imports. Also add end-to-end CNN test suite (27 tests) covering the full pipeline: ONNX parsing, IR compilation, RISC-V assembly generation, binary encoding, trace execution, and MSE/MAE verification. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Resolve all mypy errors: add type narrowing with assert isinstance, fix variable name shadowing (types.py v->attr_v), add Optional type hints, fix annotation syntax, and add type: ignore for dynamic attribute access in TinyFive adapter. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Resolve conflicts in 11 files, keeping jzj_dev changes (lint fixes, mypy type fixes, new ONNX op support, CNN pipeline). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
jizhenjun
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May 29, 2026 04:02
jizhenjun
approved these changes
May 29, 2026
k1nsom
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Jun 4, 2026
#1+#2 dashboard数据管线: _run()从--json-output路径读取,generate_dashboard_html接收参数 #4 CI CNN benchmark: 模型不存在时自动生成最小CNN onnx,不再静默跳过 #5 tinyfive CI兼容: --scratchv-asm/--llvm-asm CLI参数,文件不存在容错 #6 estimator参数化: estimate_cnn_model接受model_spec dict #8 LLVM TinyFive内核: 用真实LLVM O3汇编提取的指令序列替代手写 #9 import统一: llvm_cache_compare使用绝对路径导入cache_model 未修(需更大重构): #3 run_spike_bench field() bug (需dataclass重构,影响力低) #10 CPU仿真器重复代码 (需提取共享模块) #7 缓存分析模型 (需trace-driven,实现成本高) 348 tests passed Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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