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Revert "[build] pin setuptools>=77 to enable PEP 639 (#158104)"

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This reverts commit a78fb63dbdf98a1db219095293de1a11005e0390.

Reverted https://github.com/pytorch/pytorch/pull/158104 on behalf of https://github.com/malfet due to It still breaks inductor-perf-nightly, see https://github.com/pytorch/pytorch/actions/runs/16425364208/job/46417088208, I'm going to dismiss all previous reviews ([comment](https://github.com/pytorch/pytorch/pull/158104#issuecomment-3099706457))
This commit is contained in:
PyTorch MergeBot
2025-07-21 22:46:53 +00:00
parent b3c868d603
commit feaa02f9ad
19 changed files with 46 additions and 57 deletions
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2
.ci/aarch64_linux/aarch64_ci_setup.sh
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@ -12,7 +12,7 @@ fi
SCRIPTPATH="$( cd "$(dirname "$0")" ; pwd -P )"
source $SCRIPTPATH/../manywheel/set_desired_python.sh
pip install -q numpy==${NUMPY_VERSION} pyyaml==6.0.2 scons==4.7.0 ninja==1.11.1.4 patchelf==0.17.2
pip install -q numpy==${NUMPY_VERSION} pyyaml==6.0.2 scons==4.7.0 ninja==1.11.1 patchelf==0.17.2
for tool in python python3 pip pip3 ninja scons patchelf; do
ln -sf ${DESIRED_PYTHON_BIN_DIR}/${tool} /usr/local/bin;

2
.ci/docker/manywheel/Dockerfile_2_28
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@ -128,7 +128,7 @@ ENV PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
ENV LD_LIBRARY_PATH=/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/gcc-toolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
# Install setuptools and wheel for python 3.12/3.13
RUN for cpython_version in "cp312-cp312" "cp313-cp313" "cp313-cp313t"; do \
/opt/python/${cpython_version}/bin/python -m pip install "setuptools>=77.0.0" "packaging>=24.2" wheel; \
/opt/python/${cpython_version}/bin/python -m pip install setuptools wheel; \
done;

5
.ci/docker/manywheel/Dockerfile_s390x
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@ -124,9 +124,10 @@ RUN python3 -mpip install cmake==3.28.0
# install newest flatbuffers version first:
# for some reason old version is getting pulled in otherwise.
# packaging package is required for onnxruntime wheel build.
RUN pip3 install 'setuptools>=77.0' 'packaging>=24.2' && \
pip3 install flatbuffers cython 'pkgconfig>=1.5.5' 'numpy<2.3.0' && \
RUN pip3 install flatbuffers && \
pip3 install cython 'pkgconfig>=1.5.5' 'setuptools>=77' 'numpy<2.3.0' && \
pip3 install --no-build-isolation h5py==3.11.0 && \
pip3 install packaging && \
git clone https://github.com/microsoft/onnxruntime && \
cd onnxruntime && git checkout v1.21.0 && \
git submodule update --init --recursive && \

11
.ci/docker/requirements-ci.txt
View File

@ -50,7 +50,7 @@ flatbuffers==24.12.23
hypothesis==5.35.1
# Pin hypothesis to avoid flakiness: https://github.com/pytorch/pytorch/issues/31136
#Description: advanced library for generating parametrized tests
#Pinned versions: 5.35.1
#Pinned versions: 3.44.6, 4.53.2
#test that import: test_xnnpack_integration.py, test_pruning_op.py, test_nn.py
junitparser==2.1.1
@ -104,10 +104,10 @@ networkx==2.8.8
#Pinned versions: 2.8.8
#test that import: functorch
ninja==1.11.1.4
ninja==1.11.1.3
#Description: build system. Used in some tests. Used in build to generate build
#time tracing information
#Pinned versions: 1.11.1.4
#Pinned versions: 1.11.1.3
#test that import: run_test.py, test_cpp_extensions_aot.py,test_determination.py
numba==0.49.0 ; python_version < "3.9"
@ -307,7 +307,7 @@ pytest-cpp==2.3.0
#Pinned versions: 2.3.0
#test that import:
z3-solver==4.15.1.0
z3-solver==4.12.6.0
#Description: The Z3 Theorem Prover Project
#Pinned versions:
#test that import:
@ -362,10 +362,9 @@ pwlf==2.2.1
#test that import: test_sac_estimator.py
# To build PyTorch itself
packaging>=24.2
pyyaml
pyzstd
setuptools>=77.0.0
setuptools>=70.1.0
six
scons==4.5.2 ; platform_machine == "aarch64"

3
.ci/pytorch/build.sh
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@ -269,9 +269,6 @@ if [[ "$BUILD_ENVIRONMENT" == *-bazel-* ]]; then
tools/bazel build --config=no-tty "${BAZEL_MEM_LIMIT}" "${BAZEL_CPU_LIMIT}" //...
fi
else
# install build-system requirements before running setup.py commands
python -m pip install -r requirements-build.txt
# check that setup.py would fail with bad arguments
echo "The next three invocations are expected to fail with invalid command error messages."
( ! get_exit_code python setup.py bad_argument )

2
.ci/pytorch/test.sh
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@ -201,7 +201,7 @@ fi
if [[ "$BUILD_ENVIRONMENT" != *-bazel-* ]] ; then
# JIT C++ extensions require ninja.
pip_install "ninja==1.11.1.4"
pip_install "ninja==1.10.2"
# ninja is installed in $HOME/.local/bin, e.g., /var/lib/jenkins/.local/bin for CI user jenkins
# but this script should be runnable by any user, including root
export PATH="$HOME/.local/bin:$PATH"

5
.ci/pytorch/win-test-helpers/build_pytorch.bat
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@ -126,11 +126,6 @@ if "%USE_CUDA%"=="1" (
set CMAKE_CUDA_COMPILER_LAUNCHER=%TMP_DIR%/bin/randomtemp.exe;%TMP_DIR%\bin\sccache.exe
)
:: Install build-system requirements before running setup.py commands
python -m pip install -r requirements-build.txt
if errorlevel 1 goto fail
if not errorlevel 0 goto fail
:: Print all existing environment variable for debugging
set

2
.ci/pytorch/win-test.sh
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@ -41,7 +41,7 @@ fi
python -m pip install pytest-rerunfailures==10.3 pytest-cpp==2.3.0 tensorboard==2.13.0 protobuf==5.29.4 pytest-subtests==0.13.1
# Install Z3 optional dependency for Windows builds.
python -m pip install z3-solver==4.15.1.0
python -m pip install z3-solver==4.12.2.0
# Install tlparse for test\dynamo\test_structured_trace.py UTs.
python -m pip install tlparse==0.3.30

2
.ci/pytorch/windows/internal/install_python.bat
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@ -18,5 +18,5 @@ start /wait "" python-amd64.exe /quiet InstallAllUsers=1 PrependPath=0 Include_t
if errorlevel 1 exit /b 1
set "PATH=%CD%\Python\Scripts;%CD%\Python;%PATH%"
%PYTHON_EXEC% -m pip install --upgrade pip "setuptools>=77.0.0" "packaging>=24.2" wheel
%PYTHON_EXEC% -m pip install --upgrade pip setuptools packaging wheel
if errorlevel 1 exit /b 1

5
.ci/pytorch/windows/setup_build.bat
View File

@ -7,9 +7,6 @@ call "internal\install_python.bat"
%PYTHON_EXEC% --version
set "PATH=%CD%\Python\Lib\site-packages\cmake\data\bin;%CD%\Python\Scripts;%CD%\Python;%PATH%"
%PYTHON_EXEC% -m pip install "setuptools>=77.0.0" "packaging>=24.2"
if "%DESIRED_PYTHON%" == "3.13t" %PYTHON_EXEC% -m pip install numpy==2.2.1 cmake
if "%DESIRED_PYTHON%" == "3.13" %PYTHON_EXEC% -m pip install numpy==2.1.2 cmake
if "%DESIRED_PYTHON%" == "3.12" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
@ -19,7 +16,7 @@ if "%DESIRED_PYTHON%" == "3.9" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
%PYTHON_EXEC% -m pip install pyyaml
%PYTHON_EXEC% -m pip install mkl-include mkl-static
%PYTHON_EXEC% -m pip install boto3 ninja typing-extensions
%PYTHON_EXEC% -m pip install boto3 ninja typing_extensions setuptools==72.1.0
where cmake.exe

14
.ci/wheel/build_wheel.sh
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@ -127,7 +127,7 @@ export INSTALL_TEST=0 # dont install test binaries into site-packages
export MACOSX_DEPLOYMENT_TARGET=10.15
export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
SETUPTOOLS_PINNED_VERSION="==77.0.0"
SETUPTOOLS_PINNED_VERSION="==70.1.0"
PYYAML_PINNED_VERSION="=5.3"
EXTRA_CONDA_INSTALL_FLAGS=""
CONDA_ENV_CREATE_FLAGS=""
@ -135,7 +135,7 @@ RENAME_WHEEL=true
case $desired_python in
3.13t)
echo "Using 3.13 deps"
SETUPTOOLS_PINNED_VERSION=">=77.0.0"
SETUPTOOLS_PINNED_VERSION=">=70.1.0"
PYYAML_PINNED_VERSION=">=6.0.1"
NUMPY_PINNED_VERSION="=2.1.0"
CONDA_ENV_CREATE_FLAGS="python-freethreading"
@ -145,31 +145,31 @@ case $desired_python in
;;
3.13)
echo "Using 3.13 deps"
SETUPTOOLS_PINNED_VERSION=">=77.0.0"
SETUPTOOLS_PINNED_VERSION=">=70.1.0"
PYYAML_PINNED_VERSION=">=6.0.1"
NUMPY_PINNED_VERSION="=2.1.0"
;;
3.12)
echo "Using 3.12 deps"
SETUPTOOLS_PINNED_VERSION=">=77.0.0"
SETUPTOOLS_PINNED_VERSION=">=70.1.0"
PYYAML_PINNED_VERSION=">=6.0.1"
NUMPY_PINNED_VERSION="=2.0.2"
;;
3.11)
echo "Using 3.11 deps"
SETUPTOOLS_PINNED_VERSION=">=77.0.0"
SETUPTOOLS_PINNED_VERSION=">=70.1.0"
PYYAML_PINNED_VERSION=">=5.3"
NUMPY_PINNED_VERSION="=2.0.2"
;;
3.10)
echo "Using 3.10 deps"
SETUPTOOLS_PINNED_VERSION=">=77.0.0"
SETUPTOOLS_PINNED_VERSION=">=70.1.0"
PYYAML_PINNED_VERSION=">=5.3"
NUMPY_PINNED_VERSION="=2.0.2"
;;
3.9)
echo "Using 3.9 deps"
SETUPTOOLS_PINNED_VERSION=">=77.0.0"
SETUPTOOLS_PINNED_VERSION=">=70.1.0"
PYYAML_PINNED_VERSION=">=5.3"
NUMPY_PINNED_VERSION="=2.0.2"
;;

2
.github/requirements-gha-cache.txt vendored
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@ -8,7 +8,7 @@
boto3==1.35.42
jinja2==3.1.6
lintrunner==0.10.7
ninja==1.11.1.4
ninja==1.10.0.post1
nvidia-ml-py==11.525.84
pyyaml==6.0
requests==2.32.4

8
.github/requirements/pip-requirements-macOS.txt vendored
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@ -7,12 +7,12 @@ hypothesis==6.56.4
librosa>=0.6.2
mpmath==1.3.0
networkx==2.8.7
ninja==1.11.1.4
ninja==1.10.2.4
numba==0.59.0
numpy==1.26.4
opt-einsum>=3.3
optree==0.13.0
packaging==25.0
packaging==23.1
parameterized==0.8.1
pillow==10.3.0
protobuf==5.29.4
@ -26,11 +26,11 @@ pytest-xdist==3.3.1
pytest==7.3.2
pyyaml==6.0.2
scipy==1.12.0
setuptools==80.9.0
setuptools==72.1.0
sympy==1.13.3
tlparse==0.3.30
tensorboard==2.13.0
typing-extensions==4.12.2
unittest-xml-reporting<=3.2.0,>=2.0.0
xdoctest==1.1.0
z3-solver==4.15.1.0
z3-solver==4.12.2.0

2
.github/scripts/lintrunner.sh vendored
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@ -2,7 +2,7 @@
set -ex
# Use uv to speed up lintrunner init
python3 -m pip install -U uv setuptools
python3 -m pip install uv==0.1.45 setuptools
CACHE_DIRECTORY="/tmp/.lintbin"
# Try to recover the cached binaries

2
.github/scripts/windows/build_triton.bat vendored
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@ -10,7 +10,7 @@ if "%PY_VERS%" == "3.13t" (
call conda create -n %PYTHON_PREFIX% -y -c=conda-forge python=%PY_VERS%
)
:: Fix cmake version for issue https://github.com/pytorch/pytorch/issues/150480
call conda run -n %PYTHON_PREFIX% pip install wheel pybind11 certifi cython cmake==3.31.6 setuptools==78.1.1 ninja
call conda run -n %PYTHON_PREFIX% pip install wheel pybind11 certifi cython cmake==3.31.6 setuptools==72.1.0 ninja
dir "%VC_INSTALL_PATH%"

5
.github/workflows/_mac-test.yml vendored
View File

@ -80,11 +80,6 @@ jobs:
run: |
sysctl machdep.cpu.brand_string kern.osproductversion
- name: Install build toolchain
run: |
brew update --quiet
brew install --formula cmake ninja
- name: Clean up leftover processes on MacOS pet runner
continue-on-error: true
run: |

11
pyproject.toml
View File

@ -2,12 +2,13 @@
[build-system]
requires = [
# 70.1.0: min version for integrated bdist_wheel command from wheel package
# 77.0.0: min version for SPDX expression support for project.license
"setuptools>=77.0.0,<80.0",
"setuptools>=70.1.0,<80.0",
"cmake>=3.27",
"ninja",
"numpy",
"packaging>=24.2",
"packaging",
"pyyaml",
"requests",
"six", # dependency chain: NNPACK -> PeachPy -> six
@ -20,7 +21,11 @@ name = "torch"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
readme = "README.md"
requires-python = ">=3.9,<3.14"
license = "BSD-3-Clause"
# TODO: change to `license = "BSD-3-Clause"` and enable PEP 639 after pinning setuptools>=77
# FIXME: As of 2025.06.20, it is hard to ensure the minimum version of setuptools in our CI environment.
# TOML-table-based license deprecated in setuptools>=77, and the deprecation warning will be changed
# to an error on 2026.02.18. See also: https://github.com/pypa/setuptools/issues/4903
license = { text = "BSD-3-Clause" }
authors = [{ name = "PyTorch Team", email = "packages@pytorch.org" }]
keywords = ["pytorch", "machine learning"]
classifiers = [

4
requirements-build.txt
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@ -1,9 +1,9 @@
# Build System requirements
setuptools>=77.0.0,<80.0 # setuptools develop deprecated on 80.0
setuptools>=70.1.0,<80.0 # setuptools develop deprecated on 80.0
cmake>=3.27
ninja
numpy
packaging>=24.2
packaging
pyyaml
requests
six # dependency chain: NNPACK -> PeachPy -> six

16
test/dynamo/test_exc.py
View File

@ -251,13 +251,13 @@ translation validation failed.
Model:
==> L['shape'][0]: 0
==> L['shape'][1]: 0
==> L['shape'][2]: 0
==> L['shape'][1]: 1
==> L['shape'][2]: 1
==> L['x'].size()[0]: 3
==> L['x'].storage_offset(): 0
==> L['x'].stride()[0]: 1
==> s3: 0
==> s52: 0
==> s3: 1
==> s52: 1
==> s77: 3
==> s86: 0
@ -315,16 +315,16 @@ Failure occurred while running node:
%split : [num_users=3] = call_method[target=split](args = (%l_x_, (%l_shape_0_, %l_shape_1_, %l_shape_2_)), kwargs = {})
Model:
==> L['shape'][0]: 0
==> L['shape'][1]: 0
==> L['shape'][0]: 1
==> L['shape'][1]: 1
==> L['shape'][2]: 0
==> L['x'].size()[0]: 3
==> L['x'].storage_offset(): 0
==> L['x'].stride()[0]: 1
==> s3: 0
==> s52: 0
==> s52: 1
==> s77: 3
==> s86: 0
==> s86: 1
Assertions:
==> (== 0 L['x'].storage_offset())