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Install CUDA PyTorch in slim image for A100 GPU

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  1. Dockerfile +5 -1
Dockerfile CHANGED
@@ -10,12 +10,16 @@ ENV XDG_CACHE_HOME=/tmp/cache
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  ENV HOME=/tmp/home
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  ENV USER=user
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  ENV PYTHONUNBUFFERED=1
 
 
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  RUN mkdir -p /tmp/hf_cache /tmp/torch_cache /tmp/cache /tmp/home && \
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  chmod -R 777 /tmp/hf_cache /tmp/torch_cache /tmp/cache /tmp/home
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  RUN pip install --no-cache-dir \
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- torch \
 
 
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  transformers \
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  trl \
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  peft \
 
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  ENV HOME=/tmp/home
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  ENV USER=user
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  ENV PYTHONUNBUFFERED=1
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+ ENV NVIDIA_VISIBLE_DEVICES=all
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+ ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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  RUN mkdir -p /tmp/hf_cache /tmp/torch_cache /tmp/cache /tmp/home && \
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  chmod -R 777 /tmp/hf_cache /tmp/torch_cache /tmp/cache /tmp/home
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  RUN pip install --no-cache-dir \
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+ torch --index-url https://download.pytorch.org/whl/cu121
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+
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+ RUN pip install --no-cache-dir \
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  transformers \
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  trl \
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  peft \