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[Hardware][AMD][CI/Build][Doc] Upgrade to ROCm 6.1, Dockerfile improvements, test fixes (#5422)
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+143
-62
@@ -1,34 +1,35 @@
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# default base image
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ARG BASE_IMAGE="rocm/pytorch:rocm6.0_ubuntu20.04_py3.9_pytorch_2.1.1"
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# Default ROCm 6.1 base image
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ARG BASE_IMAGE="rocm/pytorch:rocm6.1.2_ubuntu20.04_py3.9_pytorch_staging"
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FROM $BASE_IMAGE
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# Tested and supported base rocm/pytorch images
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ARG ROCm_5_7_BASE="rocm/pytorch:rocm5.7_ubuntu20.04_py3.9_pytorch_2.0.1" \
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ROCm_6_0_BASE="rocm/pytorch:rocm6.0_ubuntu20.04_py3.9_pytorch_2.1.1" \
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ROCM_6_1_BASE="rocm/pytorch:rocm6.1.2_ubuntu20.04_py3.9_pytorch_staging"
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ARG BASE_IMAGE="rocm/pytorch:rocm6.0_ubuntu20.04_py3.9_pytorch_2.1.1"
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# Default ROCm ARCHes to build vLLM for.
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ARG PYTORCH_ROCM_ARCH="gfx908;gfx90a;gfx942;gfx1100"
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RUN echo "Base image is $BASE_IMAGE"
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ARG ROCm_5_7_BASE="rocm/pytorch:rocm5.7_ubuntu22.04_py3.10_pytorch_2.0.1" \
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ROCm_6_0_BASE="rocm/pytorch:rocm6.0_ubuntu20.04_py3.9_pytorch_2.1.1"
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ARG FA_GFX_ARCHS="gfx90a;gfx942"
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RUN echo "FA_GFX_ARCHS is $FA_GFX_ARCHS"
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ARG FA_BRANCH="ae7928c"
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RUN echo "FA_BRANCH is $FA_BRANCH"
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# whether to build flash-attention
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# if 0, will not build flash attention
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# this is useful for gfx target where flash-attention is not supported
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# In that case, we need to use the python reference attention implementation in vllm
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# Whether to build CK-based flash-attention
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# If 0, will not build flash attention
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# This is useful for gfx target where flash-attention is not supported
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# (i.e. those that do not appear in `FA_GFX_ARCHS`)
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# Triton FA is used by default on ROCm now so this is unnecessary.
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ARG BUILD_FA="1"
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ARG FA_GFX_ARCHS="gfx90a;gfx942"
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ARG FA_BRANCH="ae7928c"
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# whether to build triton on rocm
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# Whether to build triton on rocm
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ARG BUILD_TRITON="1"
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ARG TRITON_BRANCH="0ef1848"
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### Base image build stage
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FROM $BASE_IMAGE AS base
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# Import arg(s) defined before this build stage
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ARG PYTORCH_ROCM_ARCH
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# Install some basic utilities
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RUN apt-get update && apt-get install python3 python3-pip -y
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# Install some basic utilities
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RUN apt-get update && apt-get install -y \
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curl \
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ca-certificates \
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@@ -39,79 +40,159 @@ RUN apt-get update && apt-get install -y \
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build-essential \
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wget \
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unzip \
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nvidia-cuda-toolkit \
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tmux \
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ccache \
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&& rm -rf /var/lib/apt/lists/*
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### Mount Point ###
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# When launching the container, mount the code directory to /app
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# When launching the container, mount the code directory to /vllm-workspace
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ARG APP_MOUNT=/vllm-workspace
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VOLUME [ ${APP_MOUNT} ]
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WORKDIR ${APP_MOUNT}
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RUN python3 -m pip install --upgrade pip
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RUN python3 -m pip install --no-cache-dir fastapi ninja tokenizers pandas
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RUN pip install --upgrade pip
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# Remove sccache so it doesn't interfere with ccache
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# TODO: implement sccache support across components
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RUN apt-get purge -y sccache; pip uninstall -y sccache; rm -f "$(which sccache)"
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# Install torch == 2.4.0 on ROCm
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RUN case "$(ls /opt | grep -Po 'rocm-[0-9]\.[0-9]')" in \
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*"rocm-5.7"*) \
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pip uninstall -y torch \
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&& pip install --no-cache-dir --pre torch==2.4.0.dev20240612 \
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--index-url https://download.pytorch.org/whl/nightly/rocm5.7;; \
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*"rocm-6.0"*) \
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pip uninstall -y torch \
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&& pip install --no-cache-dir --pre torch==2.4.0.dev20240612 \
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--index-url https://download.pytorch.org/whl/nightly/rocm6.0;; \
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*"rocm-6.1"*) \
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pip uninstall -y torch \
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&& pip install --no-cache-dir --pre torch==2.4.0.dev20240612 \
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--index-url https://download.pytorch.org/whl/nightly/rocm6.1;; \
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*) ;; esac
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ENV LLVM_SYMBOLIZER_PATH=/opt/rocm/llvm/bin/llvm-symbolizer
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ENV PATH=$PATH:/opt/rocm/bin:/libtorch/bin:
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ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/rocm/lib/:/libtorch/lib:
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ENV CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:/libtorch/include:/libtorch/include/torch/csrc/api/include/:/opt/rocm/include/:
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# Install ROCm flash-attention
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RUN if [ "$BUILD_FA" = "1" ]; then \
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mkdir libs \
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ENV PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH}
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ENV CCACHE_DIR=/root/.cache/ccache
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### AMD-SMI build stage
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FROM base AS build_amdsmi
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# Build amdsmi wheel always
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RUN cd /opt/rocm/share/amd_smi \
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&& pip wheel . --wheel-dir=/install
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### Flash-Attention wheel build stage
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FROM base AS build_fa
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ARG BUILD_FA
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ARG FA_GFX_ARCHS
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ARG FA_BRANCH
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# Build ROCm flash-attention wheel if `BUILD_FA = 1`
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RUN --mount=type=cache,target=${CCACHE_DIR} \
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if [ "$BUILD_FA" = "1" ]; then \
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mkdir -p libs \
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&& cd libs \
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&& git clone https://github.com/ROCm/flash-attention.git \
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&& cd flash-attention \
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&& git checkout ${FA_BRANCH} \
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&& git checkout "${FA_BRANCH}" \
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&& git submodule update --init \
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&& export GPU_ARCHS=${FA_GFX_ARCHS} \
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&& if [ "$BASE_IMAGE" = "$ROCm_5_7_BASE" ]; then \
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patch /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py hipify_patch.patch; fi \
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&& python3 setup.py install \
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&& cd ..; \
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&& case "$(ls /opt | grep -Po 'rocm-[0-9]\.[0-9]')" in \
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*"rocm-5.7"*) \
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export VLLM_TORCH_PATH="$(python3 -c 'import torch; print(torch.__path__[0])')" \
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&& patch "${VLLM_TORCH_PATH}"/utils/hipify/hipify_python.py hipify_patch.patch;; \
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*) ;; esac \
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&& GPU_ARCHS="${FA_GFX_ARCHS}" python3 setup.py bdist_wheel --dist-dir=/install; \
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# Create an empty directory otherwise as later build stages expect one
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else mkdir -p /install; \
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fi
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# Error related to odd state for numpy 1.20.3 where there is no METADATA etc, but an extra LICENSES_bundled.txt.
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# Manually removed it so that later steps of numpy upgrade can continue
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RUN if [ "$BASE_IMAGE" = "$ROCm_6_0_BASE" ]; then \
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rm -rf /opt/conda/envs/py_3.9/lib/python3.9/site-packages/numpy-1.20.3.dist-info/; fi
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# build triton
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RUN if [ "$BUILD_TRITON" = "1" ]; then \
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### Triton wheel build stage
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FROM base AS build_triton
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ARG BUILD_TRITON
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ARG TRITON_BRANCH
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# Build triton wheel if `BUILD_TRITON = 1`
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RUN --mount=type=cache,target=${CCACHE_DIR} \
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if [ "$BUILD_TRITON" = "1" ]; then \
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mkdir -p libs \
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&& cd libs \
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&& pip uninstall -y triton \
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&& git clone https://github.com/ROCm/triton.git \
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&& cd triton/python \
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&& pip3 install . \
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&& cd ../..; \
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&& git clone https://github.com/OpenAI/triton.git \
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&& cd triton \
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&& git checkout "${TRITON_BRANCH}" \
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&& cd python \
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&& python3 setup.py bdist_wheel --dist-dir=/install; \
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# Create an empty directory otherwise as later build stages expect one
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else mkdir -p /install; \
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fi
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WORKDIR /vllm-workspace
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### Final vLLM build stage
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FROM base AS final
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# Import the vLLM development directory from the build context
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COPY . .
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#RUN python3 -m pip install pynvml # to be removed eventually
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RUN python3 -m pip install --upgrade pip numba
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# Error related to odd state for numpy 1.20.3 where there is no METADATA etc, but an extra LICENSES_bundled.txt.
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# Manually remove it so that later steps of numpy upgrade can continue
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RUN case "$(which python3)" in \
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*"/opt/conda/envs/py_3.9"*) \
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rm -rf /opt/conda/envs/py_3.9/lib/python3.9/site-packages/numpy-1.20.3.dist-info/;; \
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*) ;; esac
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# make sure punica kernels are built (for LoRA)
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# Package upgrades for useful functionality or to avoid dependency issues
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --upgrade numba scipy huggingface-hub[cli]
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# Make sure punica kernels are built (for LoRA)
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ENV VLLM_INSTALL_PUNICA_KERNELS=1
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# Workaround for ray >= 2.10.0
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ENV RAY_EXPERIMENTAL_NOSET_ROCR_VISIBLE_DEVICES=1
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# Silences the HF Tokenizers warning
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ENV TOKENIZERS_PARALLELISM=false
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ENV VLLM_NCCL_SO_PATH=/opt/rocm/lib/librccl.so
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ENV CCACHE_DIR=/root/.cache/ccache
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RUN --mount=type=cache,target=/root/.cache/ccache \
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RUN --mount=type=cache,target=${CCACHE_DIR} \
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--mount=type=cache,target=/root/.cache/pip \
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pip install -U -r requirements-rocm.txt \
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&& if [ "$BASE_IMAGE" = "$ROCm_6_0_BASE" ]; then \
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patch /opt/rocm/include/hip/amd_detail/amd_hip_bf16.h ./rocm_patch/rocm_bf16.patch; fi \
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&& python3 setup.py install \
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&& export VLLM_PYTHON_VERSION=$(python -c "import sys; print(str(sys.version_info.major) + str(sys.version_info.minor))") \
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&& cp build/lib.linux-x86_64-cpython-${VLLM_PYTHON_VERSION}/vllm/*.so vllm/ \
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&& cd ..
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&& case "$(ls /opt | grep -Po 'rocm-[0-9]\.[0-9]')" in \
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*"rocm-6.0"*) \
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patch /opt/rocm/include/hip/amd_detail/amd_hip_bf16.h rocm_patch/rocm_bf16.patch;; \
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*"rocm-6.1"*) \
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# Bring in upgrades to HIP graph earlier than ROCm 6.2 for vLLM
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wget -N https://github.com/ROCm/vllm/raw/fa78403/rocm_patch/libamdhip64.so.6 -P rocm_patch \
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&& cp rocm_patch/libamdhip64.so.6 /opt/rocm/lib/libamdhip64.so.6 \
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# Prevent interference if torch bundles its own HIP runtime
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&& rm -f "$(python3 -c 'import torch; print(torch.__path__[0])')"/lib/libamdhip64.so* || true;; \
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*) ;; esac \
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&& python3 setup.py clean --all \
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&& python3 setup.py develop
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# Copy amdsmi wheel into final image
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RUN --mount=type=bind,from=build_amdsmi,src=/install,target=/install \
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mkdir -p libs \
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&& cp /install/*.whl libs \
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# Preemptively uninstall to avoid same-version no-installs
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&& pip uninstall -y amdsmi;
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# Copy triton wheel(s) into final image if they were built
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RUN --mount=type=bind,from=build_triton,src=/install,target=/install \
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mkdir -p libs \
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&& if ls /install/*.whl; then \
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cp /install/*.whl libs \
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# Preemptively uninstall to avoid same-version no-installs
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&& pip uninstall -y triton; fi
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# Copy flash-attn wheel(s) into final image if they were built
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RUN --mount=type=bind,from=build_fa,src=/install,target=/install \
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mkdir -p libs \
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&& if ls /install/*.whl; then \
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cp /install/*.whl libs \
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# Preemptively uninstall to avoid same-version no-installs
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&& pip uninstall -y flash-attn; fi
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# Install wheels that were built to the final image
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RUN --mount=type=cache,target=/root/.cache/pip \
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if ls libs/*.whl; then \
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pip install libs/*.whl; fi
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CMD ["/bin/bash"]
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