Fam Zheng
7939990181
- pyproject.toml + uv.lock: pytorch-cu128/cpu indexes → mirror.sjtu.edu.cn (aliyun lacks 2.9.1, sjtu has it) - nanochat/dataset.py: climbmix BASE_URL → hf-mirror.com For ailab (CN, RTX 5090) where direct pytorch.org and huggingface.co are unreachable. Override at uv-sync time with UV_DEFAULT_INDEX env.
72 lines
1.4 KiB
TOML
72 lines
1.4 KiB
TOML
[project]
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name = "nanochat"
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version = "0.1.0"
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description = "the minimal full-stack ChatGPT clone"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"datasets>=4.0.0",
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"fastapi>=0.117.1",
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"kernels>=0.11.7",
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"psutil>=7.1.0",
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"rustbpe>=0.1.0",
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"tiktoken>=0.11.0",
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"tokenizers>=0.22.0",
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"torch==2.9.1",
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"uvicorn>=0.36.0",
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"wandb>=0.21.3",
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]
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[dependency-groups]
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dev = [
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"ipykernel>=7.1.0",
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"matplotlib>=3.10.8",
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"pytest>=8.0.0",
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"python-dotenv>=1.2.1",
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"transformers>=4.57.3",
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]
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[tool.pytest.ini_options]
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markers = [
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"slow: marks tests as slow (deselect with '-m \"not slow\"')",
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]
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testpaths = ["tests"]
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python_files = ["test_*.py"]
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python_classes = ["Test*"]
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python_functions = ["test_*"]
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# target torch to cuda 12.8 or CPU
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-cpu", extra = "cpu" },
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{ index = "pytorch-cu128", extra = "gpu" },
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]
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://mirror.sjtu.edu.cn/pytorch-wheels/cpu"
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explicit = true
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[[tool.uv.index]]
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name = "pytorch-cu128"
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url = "https://mirror.sjtu.edu.cn/pytorch-wheels/cu128"
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explicit = true
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[project.optional-dependencies]
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cpu = [
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"setuptools>=65.0.0",
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"torch==2.9.1",
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]
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gpu = [
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"torch==2.9.1",
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]
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[tool.uv]
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default-groups = []
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conflicts = [
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[
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{ extra = "cpu" },
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{ extra = "gpu" },
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],
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]
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