[Kernel/Model] Migrate mamba_ssm and causal_conv1d kernels to vLLM (#7651)
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23
Dockerfile
23
Dockerfile
@@ -42,9 +42,6 @@ COPY requirements-cuda.txt requirements-cuda.txt
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RUN --mount=type=cache,target=/root/.cache/pip \
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python3 -m pip install -r requirements-cuda.txt
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COPY requirements-mamba.txt requirements-mamba.txt
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RUN python3 -m pip install packaging
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RUN python3 -m pip install -r requirements-mamba.txt
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# cuda arch list used by torch
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# can be useful for both `dev` and `test`
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@@ -127,22 +124,6 @@ RUN --mount=type=cache,target=/root/.cache/pip \
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python3 -m pip install -r requirements-dev.txt
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#################### DEV IMAGE ####################
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#################### MAMBA Build IMAGE ####################
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FROM dev as mamba-builder
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# max jobs used for build
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ARG max_jobs=2
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ENV MAX_JOBS=${max_jobs}
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WORKDIR /usr/src/mamba
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COPY requirements-mamba.txt requirements-mamba.txt
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# Download the wheel or build it if a pre-compiled release doesn't exist
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RUN pip --verbose wheel -r requirements-mamba.txt \
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--no-build-isolation --no-deps --no-cache-dir
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#################### MAMBA Build IMAGE ####################
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#################### vLLM installation IMAGE ####################
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# image with vLLM installed
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FROM nvidia/cuda:${CUDA_VERSION}-base-ubuntu20.04 AS vllm-base
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@@ -179,10 +160,6 @@ RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist
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--mount=type=cache,target=/root/.cache/pip \
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python3 -m pip install dist/*.whl --verbose
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RUN --mount=type=bind,from=mamba-builder,src=/usr/src/mamba,target=/usr/src/mamba \
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--mount=type=cache,target=/root/.cache/pip \
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python3 -m pip install /usr/src/mamba/*.whl --no-cache-dir
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RUN --mount=type=cache,target=/root/.cache/pip \
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. /etc/environment && \
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python3 -m pip install https://github.com/flashinfer-ai/flashinfer/releases/download/v0.1.4/flashinfer-0.1.4+cu121torch2.4-cp${PYTHON_VERSION_STR}-cp${PYTHON_VERSION_STR}-linux_x86_64.whl
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