install flash attention in 2.9.0 base images (#3224)
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@@ -47,6 +47,8 @@ RUN git lfs install --skip-repo && \
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pip3 install -U --no-cache-dir pydantic==1.10.10 && \
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pip3 cache purge
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RUN if [ "$PYTORCH_VERSION" = "2.6.0" ] && [ "$CUDA" = "124" ] ; then \
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FLASH_ATTENTION_FORCE_BUILD="TRUE" pip3 install --no-build-isolation flash-attn==2.8.0.post2; \
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RUN if [ "$PYTORCH_VERSION" = "2.9.0" ] && [ "$CUDA" = "128" ] ; then \
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wget https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.4.17/flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
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pip3 install --no-cache-dir flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
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rm flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
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fi
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@@ -34,3 +34,9 @@ RUN uv pip install packaging setuptools wheel psutil \
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&& uv pip install --no-build-isolation "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" \
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&& uv pip install "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main" \
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&& uv pip install awscli pydantic
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RUN if [ "$PYTORCH_VERSION" = "2.9.0" ] && [ "$CUDA" = "128" ] ; then \
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wget https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.4.17/flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
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uv pip install --no-cache-dir flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
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rm flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
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fi
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