Update PyTorch to 2.7.0 (#16859)
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@@ -5,11 +5,11 @@
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# docs/source/contributing/dockerfile/dockerfile.md and
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# docs/source/assets/contributing/dockerfile-stages-dependency.png
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ARG CUDA_VERSION=12.4.1
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ARG CUDA_VERSION=12.8.1
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#################### BASE BUILD IMAGE ####################
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# prepare basic build environment
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FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu20.04 AS base
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ARG CUDA_VERSION=12.4.1
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ARG CUDA_VERSION=12.8.1
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ARG PYTHON_VERSION=3.12
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ARG TARGETPLATFORM
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ENV DEBIAN_FRONTEND=noninteractive
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@@ -37,6 +37,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
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# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
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# Reference: https://github.com/astral-sh/uv/pull/1694
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ENV UV_HTTP_TIMEOUT=500
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ENV UV_INDEX_STRATEGY="unsafe-best-match"
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# Upgrade to GCC 10 to avoid https://gcc.gnu.org/bugzilla/show_bug.cgi?id=92519
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# as it was causing spam when compiling the CUTLASS kernels
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@@ -69,7 +70,8 @@ RUN --mount=type=cache,target=/root/.cache/uv \
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COPY requirements/common.txt requirements/common.txt
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COPY requirements/cuda.txt requirements/cuda.txt
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/cuda.txt
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uv pip install --system -r requirements/cuda.txt \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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# cuda arch list used by torch
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# can be useful for both `dev` and `test`
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@@ -92,9 +94,11 @@ COPY requirements/build.txt requirements/build.txt
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# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
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# Reference: https://github.com/astral-sh/uv/pull/1694
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ENV UV_HTTP_TIMEOUT=500
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ENV UV_INDEX_STRATEGY="unsafe-best-match"
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/build.txt
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uv pip install --system -r requirements/build.txt \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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COPY . .
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ARG GIT_REPO_CHECK=0
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@@ -161,22 +165,25 @@ FROM base as dev
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# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
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# Reference: https://github.com/astral-sh/uv/pull/1694
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ENV UV_HTTP_TIMEOUT=500
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ENV UV_INDEX_STRATEGY="unsafe-best-match"
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# Workaround for #17068
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system --no-build-isolation "git+https://github.com/state-spaces/mamba@v2.2.4"
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COPY requirements/lint.txt requirements/lint.txt
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COPY requirements/test.txt requirements/test.txt
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COPY requirements/dev.txt requirements/dev.txt
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# Workaround for #17068
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system mamba-ssm==2.2.4 --no-build-isolation
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/dev.txt
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uv pip install --system -r requirements/dev.txt \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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#################### DEV IMAGE ####################
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#################### vLLM installation IMAGE ####################
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# image with vLLM installed
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# TODO: Restore to base image after FlashInfer AOT wheel fixed
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FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04 AS vllm-base
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ARG CUDA_VERSION=12.4.1
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ARG CUDA_VERSION=12.8.1
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ARG PYTHON_VERSION=3.12
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WORKDIR /vllm-workspace
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ENV DEBIAN_FRONTEND=noninteractive
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@@ -209,6 +216,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
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# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
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# Reference: https://github.com/astral-sh/uv/pull/1694
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ENV UV_HTTP_TIMEOUT=500
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ENV UV_INDEX_STRATEGY="unsafe-best-match"
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# Workaround for https://github.com/openai/triton/issues/2507 and
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# https://github.com/pytorch/pytorch/issues/107960 -- hopefully
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@@ -229,7 +237,8 @@ RUN --mount=type=cache,target=/root/.cache/uv \
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# Install vllm wheel first, so that torch etc will be installed.
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RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist \
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--mount=type=cache,target=/root/.cache/uv \
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uv pip install --system dist/*.whl --verbose
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uv pip install --system dist/*.whl --verbose \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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# If we need to build FlashInfer wheel before its release:
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# $ export FLASHINFER_ENABLE_AOT=1
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@@ -246,19 +255,26 @@ RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist
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RUN --mount=type=cache,target=/root/.cache/uv \
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. /etc/environment && \
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if [ "$TARGETPLATFORM" != "linux/arm64" ]; then \
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uv pip install --system https://github.com/flashinfer-ai/flashinfer/releases/download/v0.2.1.post2/flashinfer_python-0.2.1.post2+cu124torch2.6-cp38-abi3-linux_x86_64.whl ; \
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# TESTING: install FlashInfer from source to test 2.7.0 final RC
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FLASHINFER_ENABLE_AOT=1 TORCH_CUDA_ARCH_LIST='7.5 8.0 8.6 8.9 9.0+PTX' \
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uv pip install --system --no-build-isolation "git+https://github.com/flashinfer-ai/flashinfer@v0.2.2.post1" ; \
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fi
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COPY examples examples
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COPY benchmarks benchmarks
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COPY ./vllm/collect_env.py .
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RUN --mount=type=cache,target=/root/.cache/uv \
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. /etc/environment && \
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uv pip list
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# Although we build Flashinfer with AOT mode, there's still
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# some issues w.r.t. JIT compilation. Therefore we need to
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# install build dependencies for JIT compilation.
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# TODO: Remove this once FlashInfer AOT wheel is fixed
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COPY requirements/build.txt requirements/build.txt
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/build.txt
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uv pip install --system -r requirements/build.txt \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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#################### vLLM installation IMAGE ####################
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@@ -272,11 +288,13 @@ ADD . /vllm-workspace/
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# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
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# Reference: https://github.com/astral-sh/uv/pull/1694
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ENV UV_HTTP_TIMEOUT=500
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ENV UV_INDEX_STRATEGY="unsafe-best-match"
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# install development dependencies (for testing)
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# Workaround for #17068
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system mamba-ssm==2.2.4 --no-build-isolation
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uv pip install --system --no-build-isolation "git+https://github.com/state-spaces/mamba@v2.2.4"
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# install development dependencies (for testing)
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/dev.txt
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