A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 07:15 UTC
[Bugfix] Use cmake 3.26.1 instead of 3.26 to avoid build failure (#19019)
Signed-off-by: Lu Fang <lufang@fb.com>
Lu Fang committed
Jun 3, 2025 at 15:16 UTC
d32aa2e67002afe936b8d2cadffd8adc7aaf48e7
7 files changed
+7
-7
docker/Dockerfile.neuron
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@@ -34,7 +34,7 @@ RUN --mount=type=bind,source=.git,target=.git \
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if [ "$GIT_REPO_CHECK" != 0 ]; then bash tools/check_repo.sh ; fi
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RUN python3 -m pip install -U \
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- 'cmake>=3.26' ninja packaging 'setuptools-scm>=8' wheel jinja2 \
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+ 'cmake>=3.26.1' ninja packaging 'setuptools-scm>=8' wheel jinja2 \
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-r requirements/neuron.txt
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ENV VLLM_TARGET_DEVICE neuron
docs/getting_started/installation/cpu/build.inc.md
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@@ -17,7 +17,7 @@ Third, install Python packages for vLLM CPU backend building:
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```console
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pip install --upgrade pip
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-pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy
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+pip install "cmake>=3.26.1" wheel packaging ninja "setuptools-scm>=8" numpy
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pip install -v -r requirements/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
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```
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pyproject.toml
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@@ -1,7 +1,7 @@
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[build-system]
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# Should be mirrored in requirements/build.txt
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requires = [
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- "cmake>=3.26",
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+ "cmake>=3.26.1",
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"ninja",
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"packaging>=24.2",
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"setuptools>=77.0.3,<80.0.0",
requirements/build.txt
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@@ -1,5 +1,5 @@
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# Should be mirrored in pyproject.toml
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-cmake>=3.26
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+cmake>=3.26.1
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ninja
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packaging>=24.2
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setuptools>=77.0.3,<80.0.0
requirements/rocm-build.txt
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@@ -7,7 +7,7 @@ torchvision==0.22.0
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torchaudio==2.7.0
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triton==3.2
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-cmake>=3.26,<4
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+cmake>=3.26.1,<4
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packaging>=24.2
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setuptools>=77.0.3,<80.0.0
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setuptools-scm>=8
requirements/tpu.txt
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@@ -2,7 +2,7 @@
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-r common.txt
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# Dependencies for TPU
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-cmake>=3.26
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+cmake>=3.26.1
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packaging>=24.2
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setuptools-scm>=8
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wheel
requirements/xpu.txt
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@@ -2,7 +2,7 @@
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-r common.txt
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ray>=2.9
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-cmake>=3.26
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+cmake>=3.26.1
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packaging>=24.2
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setuptools-scm>=8
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setuptools>=77.0.3,<80.0.0