Hydr473 commited on
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b83fd38
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1 Parent(s): 26929a3

Enhance Dockerfile: Implement BuildKit cache for pip install to optimize dependency fetching

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  1. spaces/train/Dockerfile +5 -1
spaces/train/Dockerfile CHANGED
@@ -45,7 +45,11 @@ RUN pip install --no-cache-dir uv
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  # across both indexes. (Verified via uv pip install --dry-run locally.)
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  # UV_HTTP_TIMEOUT=600 gives slow network 10 min per request before retry.
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  ENV UV_HTTP_TIMEOUT=600
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- RUN uv pip install --index-strategy unsafe-best-match \
 
 
 
 
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  --extra-index-url https://download.pytorch.org/whl/cu126 \
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  "fastapi" "uvicorn[standard]" "pydantic>=2.0" "pydantic-settings" \
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  "openai" "openenv-core" "pandas" "pyarrow" "pillow" "markdown-it-py" \
 
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  # across both indexes. (Verified via uv pip install --dry-run locally.)
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  # UV_HTTP_TIMEOUT=600 gives slow network 10 min per request before retry.
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  ENV UV_HTTP_TIMEOUT=600
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+ # BuildKit cache mount preserves downloaded wheels across `docker build`
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+ # invocations. If a build is cancelled mid-download, the next attempt
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+ # resumes from cache instead of re-fetching ~5 GB of torch + CUDA libs.
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+ RUN --mount=type=cache,target=/root/.cache/uv \
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+ uv pip install --index-strategy unsafe-best-match \
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  --extra-index-url https://download.pytorch.org/whl/cu126 \
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  "fastapi" "uvicorn[standard]" "pydantic>=2.0" "pydantic-settings" \
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  "openai" "openenv-core" "pandas" "pyarrow" "pillow" "markdown-it-py" \