Update

[ghstack-poisoned]

.ci/docker/requirements-ci.txt

@@ -365,11 +365,11 @@ pwlf==2.2.1
 #Pinned versions: 2.2.1
 #test that import: test_sac_estimator.py
 
-# To build PyTorch itself
+# To build PyTorch itself (see also pyproject.toml)
 pyyaml==6.0.3
 pyzstd
 setuptools==78.1.1
-packaging==23.1
+packaging==25.0
 six
 
 scons==4.5.2 ; platform_machine == "aarch64"

.ci/pytorch/build.sh

@@ -275,6 +275,10 @@ 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
+  # We need to manage the build environment manually because we are not using build isolation
+  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 )

.ci/pytorch/macos-build.sh

@@ -33,6 +33,10 @@ if which sccache > /dev/null; then
   export PATH="${tmp_dir}:$PATH"
 fi
 
+# Install build-system requirements before running setup.py commands
+# We need to manage the build environment manually because we are not using build isolation
+python -m pip install -r requirements-build.txt
+
 print_cmake_info
 if [[ ${BUILD_ENVIRONMENT} == *"distributed"* ]]; then
   # Needed for inductor benchmarks, as lots of HF networks make `torch.distribtued` calls

.ci/pytorch/macos-test.sh

@@ -16,17 +16,32 @@ popd
 # enable debug asserts in serialization
 export TORCH_SERIALIZATION_DEBUG=1
 
+__TEST_PYTHON_HAS_SETUP=''  # marker for `setup_test_python`
+
 setup_test_python() {
+  if [[ -n "${__TEST_PYTHON_HAS_SETUP}" ]]; then
+    # Already set up, skip.
+    return
+  fi
+
   # The CircleCI worker hostname doesn't resolve to an address.
   # This environment variable makes ProcessGroupGloo default to
   # using the address associated with the loopback interface.
   export GLOO_SOCKET_IFNAME=lo0
-  echo "Ninja version: $(ninja --version)"
   echo "Python version: $(which python) ($(python --version))"
+  python -m pip install -qr requirements-build.txt
+
+  echo "CMake version: $(cmake --version)"
+  echo "Ninja version: $(ninja --version)"
+
+  echo "Python packages:"
+  python -m pip freeze
 
   # Set the limit on open file handles to 16384
   # might help with intermittent compiler test failures
   ulimit -n 16384
+
+  __TEST_PYTHON_HAS_SETUP=1  # marker
 }
 
 test_python_all() {
@@ -186,6 +201,8 @@ checkout_install_torchbench() {
 }
 
 torchbench_setup_macos() {
+  setup_test_python
+
   git clone --recursive https://github.com/pytorch/vision torchvision
   git clone --recursive https://github.com/pytorch/audio torchaudio
   brew install jpeg-turbo libpng

.ci/pytorch/win-test-helpers/build_pytorch.bat

@@ -129,6 +129,12 @@ 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
+:: We need to manage the build environment manually because we are not using build isolation
+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
 

.ci/pytorch/windows/setup_build.bat

@@ -7,18 +7,20 @@ call "internal\install_python.bat"
 
 %PYTHON_EXEC% --version
 set "PATH=%CD%\Python\Lib\site-packages\cmake\data\bin;%CD%\Python\Scripts;%CD%\Python;%PATH%"
-if "%DESIRED_PYTHON%" == "3.14t" %PYTHON_EXEC% -m pip install numpy==2.3.2 cmake
-if "%DESIRED_PYTHON%" == "3.14" %PYTHON_EXEC% -m pip install numpy==2.3.2 cmake
-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
-if "%DESIRED_PYTHON%" == "3.11" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
-if "%DESIRED_PYTHON%" == "3.10" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
-if "%DESIRED_PYTHON%" == "3.9" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
 
-%PYTHON_EXEC% -m pip install pyyaml
+set NUMPY_PINNED_VERSION=""
+if "%DESIRED_PYTHON%" == "3.14t" set NUMPY_PINNED_VERSION="==2.3.2"
+if "%DESIRED_PYTHON%" == "3.14" set NUMPY_PINNED_VERSION="==2.3.2"
+if "%DESIRED_PYTHON%" == "3.13t" set NUMPY_PINNED_VERSION="==2.2.1"
+if "%DESIRED_PYTHON%" == "3.13" set NUMPY_PINNED_VERSION="==2.1.2"
+if "%DESIRED_PYTHON%" == "3.12" set NUMPY_PINNED_VERSION="==2.0.2"
+if "%DESIRED_PYTHON%" == "3.11" set NUMPY_PINNED_VERSION="==2.0.2"
+if "%DESIRED_PYTHON%" == "3.10" set NUMPY_PINNED_VERSION="==2.0.2"
+if "%DESIRED_PYTHON%" == "3.9" set NUMPY_PINNED_VERSION="==2.0.2"
+
+%PYTHON_EXEC% -m pip install "numpy%NUMPY_PINNED_VERSION%" -r "%PYTORCH_ROOT%\requirements-build.txt"
 %PYTHON_EXEC% -m pip install mkl-include mkl-static
-%PYTHON_EXEC% -m pip install boto3 requests ninja typing_extensions setuptools==72.1.0
+%PYTHON_EXEC% -m pip install boto3
 
 where cmake.exe
 

pyproject.toml

@@ -2,13 +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>=70.1.0",
+    "setuptools>=77.0.0",
     "cmake>=3.27",
     "ninja",
     "numpy",
-    "packaging",
+    # 24.2: min version required by setuptools for SPDX expression support
+    "packaging>=24.2",
     "pyyaml",
     "requests",
     "six",  # dependency chain: NNPACK -> PeachPy -> six
@@ -54,11 +54,7 @@ name = "torch"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 readme = "README.md"
 requires-python = ">=3.10"
-# 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" }
+license = "BSD-3-Clause"
 authors = [{ name = "PyTorch Team", email = "packages@pytorch.org" }]
 keywords = ["pytorch", "machine learning"]
 classifiers = [

requirements-build.txt

@@ -1,9 +1,9 @@
-# Build System requirements
-setuptools>=70.1.0
+# Build System requirements (see also: pyproject.toml)
+setuptools>=77.0.0
 cmake>=3.27
 ninja
 numpy
-packaging
+packaging>=24.2
 pyyaml
 requests
 six  # dependency chain: NNPACK -> PeachPy -> six