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 13, 14:30 UTC
Remove setuptools upper bound constraint (<80) (#28337)
Signed-off-by: Cole Murray <colemurray.cs@gmail.com>
Cole Murray committed
Nov 8, 2025 at 14:30 UTC
32787d06449172c3acb6da7347e755214588111b
8 files changed
+8
-8
pyproject.toml
+1
-1
@@ -4,7 +4,7 @@ requires = [
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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",
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+ "setuptools>=77.0.3,<81.0.0",
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"setuptools-scm>=8.0",
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"torch == 2.9.0",
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"wheel",
requirements/build.txt
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-1
@@ -2,7 +2,7 @@
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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
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+setuptools>=77.0.3,<81.0.0
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setuptools-scm>=8
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torch==2.9.0
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wheel
requirements/common.txt
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-1
@@ -35,7 +35,7 @@ mistral_common[image,audio] >= 1.8.5
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opencv-python-headless >= 4.11.0 # required for video IO
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pyyaml
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six>=1.16.0; python_version > '3.11' # transitive dependency of pandas that needs to be the latest version for python 3.12
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-setuptools>=77.0.3,<80; python_version > '3.11' # Setuptools is used by triton, we need to ensure a modern version is installed for 3.12+ so that it does not try to import distutils, which was removed in 3.12
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+setuptools>=77.0.3,<81.0.0; python_version > '3.11' # Setuptools is used by triton, we need to ensure a modern version is installed for 3.12+ so that it does not try to import distutils, which was removed in 3.12
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einops # Required for Qwen2-VL.
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compressed-tensors == 0.12.2 # required for compressed-tensors
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depyf==0.20.0 # required for profiling and debugging with compilation config
requirements/cpu-build.txt
+1
-1
@@ -1,7 +1,7 @@
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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
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+setuptools>=77.0.3,<81.0.0
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setuptools-scm>=8
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch==2.8.0+cpu; platform_machine == "x86_64"
requirements/cpu.txt
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-1
@@ -5,7 +5,7 @@ numba == 0.61.2; platform_machine != "s390x" # Required for N-gram speculative d
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# Dependencies for CPUs
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packaging>=24.2
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-setuptools>=77.0.3,<80.0.0
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+setuptools>=77.0.3,<81.0.0
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch==2.8.0+cpu; platform_machine == "x86_64" or platform_machine == "s390x"
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torch==2.8.0; platform_system == "Darwin"
requirements/rocm-build.txt
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-1
@@ -9,7 +9,7 @@ torchaudio==2.9.0
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triton==3.5.0
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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>=77.0.3,<81.0.0
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setuptools-scm>=8
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wheel
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jinja2>=3.1.6
requirements/rocm.txt
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-1
@@ -10,7 +10,7 @@ peft
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pytest-asyncio
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tensorizer==2.10.1
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packaging>=24.2
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-setuptools>=77.0.3,<80.0.0
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+setuptools>=77.0.3,<81.0.0
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setuptools-scm>=8
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runai-model-streamer[s3,gcs]==0.15.0
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conch-triton-kernels==1.2.1
requirements/xpu.txt
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-1
@@ -5,7 +5,7 @@ ray>=2.9
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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
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+setuptools>=77.0.3,<81.0.0
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wheel
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jinja2>=3.1.6
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datasets # for benchmark scripts