pytorch v2.6.0

.ci_support/linux_64_blas_implgenericc_compiler_version13channel_targetsconda-forge_maincuda_compilerNonecuda_compiler_versionNonecxx_compiler_version13is_rcFalse.yaml

@@ -80,3 +80,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/linux_64_blas_implgenericc_compiler_version13channel_targetsconda-forge_maincuda_compilercuda-nvcccuda_compiler_version12.6cxx_compiler_version13is_rcFalse.yaml

@@ -80,3 +80,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/linux_64_blas_implmklc_compiler_version13channel_targetsconda-forge_maincuda_compilerNonecuda_compiler_versionNonecxx_compiler_version13is_rcFalse.yaml

@@ -80,3 +80,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/linux_64_blas_implmklc_compiler_version13channel_targetsconda-forge_maincuda_compilercuda-nvcccuda_compiler_version12.6cxx_compiler_version13is_rcFalse.yaml

@@ -80,3 +80,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/linux_aarch64_c_compiler_version13channel_targetsconda-forge_maincuda_compilerNonecuda_compiler_versionNonecxx_compiler_version13is_rcFalse.yaml

@@ -80,3 +80,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/linux_aarch64_c_compiler_version13channel_targetsconda-forge_maincuda_compilercuda-nvcccuda_compiler_version12.6cxx_compiler_version13is_rcFalse.yaml

@@ -80,3 +80,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implgenericchannel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.10.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implgenericchannel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.11.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implgenericchannel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.12.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implgenericchannel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.9.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implgenericchannel_targetsconda-forge_mainis_rcFalsenumpy2python3.13.____cp313.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implmklchannel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.10.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implmklchannel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.11.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implmklchannel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.12.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implmklchannel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.9.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_64_blas_implmklchannel_targetsconda-forge_mainis_rcFalsenumpy2python3.13.____cp313.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_arm64_channel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.10.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_arm64_channel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.11.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_arm64_channel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.12.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_arm64_channel_targetsconda-forge_mainis_rcFalsenumpy2.0python3.9.____cpython.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/osx_arm64_channel_targetsconda-forge_mainis_rcFalsenumpy2python3.13.____cp313.yaml

@@ -67,3 +67,5 @@ zip_keys:
   - is_rc
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/win_64_channel_targetsconda-forge_maincuda_compilerNonecuda_compiler_versionNoneis_rcFalse.yaml

@@ -59,3 +59,5 @@ zip_keys:
   - cuda_compiler_version
 - - python
   - numpy
+zlib:
+- '1'

.ci_support/win_64_channel_targetsconda-forge_maincuda_compilercuda-nvcccuda_compiler_version12.6is_rcFalse.yaml

@@ -59,3 +59,5 @@ zip_keys:
   - cuda_compiler_version
 - - python
   - numpy
+zlib:
+- '1'

.github/workflows/conda-build.yml

@@ -16,7 +16,7 @@ jobs:
   build:
     name: ${{ matrix.CONFIG }}
     runs-on: ${{ matrix.runs_on }}
-    timeout-minutes: 1080
+    timeout-minutes: 900
     strategy:
       fail-fast: false
       matrix:

conda-forge.yml

@@ -5,6 +5,9 @@ azure:
   settings_win:
     variables:
       CONDA_BLD_PATH: C:\\bld\\
+bot:
+  abi_migration_branches:
+  - v2.5.x
 build_platform:
   linux_aarch64: linux_64
   osx_arm64: osx_64
@@ -16,7 +19,7 @@ github:
   tooling_branch_name: main
 github_actions:
   self_hosted: true
-  timeout_minutes: 1080
+  timeout_minutes: 900
   triggers:
   - push
   - pull_request

recipe/bld.bat

@@ -93,8 +93,7 @@ if not "%cuda_compiler_version%" == "None" (
     set MAGMA_HOME=%LIBRARY_PREFIX%
     set "PATH=%CUDA_BIN_PATH%;%PATH%"
     set CUDNN_INCLUDE_DIR=%LIBRARY_PREFIX%\include
-    @REM turn off very noisy nvcc warnings
-    set "CUDAFLAGS=-w --ptxas-options=-w"
+    set "CUDA_VERSION=%cuda_compiler_version%"
 ) else (
     set USE_CUDA=0
     @REM MKLDNN is an Apache-2.0 licensed library for DNNs and is used
@@ -162,7 +161,7 @@ if EXIST build (
     if %ERRORLEVEL% neq 0 exit 1
 )
 
-%PYTHON% -m pip %PIP_ACTION% . --no-build-isolation --no-deps %PIP_VERBOSITY% --no-clean
+%PYTHON% -m pip %PIP_ACTION% . --no-build-isolation --no-deps %PIP_VERBOSITY% --no-clean --config-settings=--global-option=-q
 if %ERRORLEVEL% neq 0 exit 1
 
 @REM Here we split the build into two parts.
@@ -205,7 +204,7 @@ if "%PKG_NAME%" == "libtorch" (
 
     @REM Remove the python binary file, that is placed in the site-packages
     @REM directory by the specific python specific pytorch package.
-    del %LIBRARY_BIN%\torch_python.* %LIBRARY_LIB%\torch_python.* %LIBRARY_LIB%\_C.lib
+    del %LIBRARY_BIN%\torch_python.* %LIBRARY_LIB%\torch_python.*
     if %ERRORLEVEL% neq 0 exit 1
 
     popd
@@ -228,8 +227,8 @@ if "%PKG_NAME%" == "libtorch" (
 
     @REM Copy libtorch_python.lib back -- that's much easier than the for loop
     @REM needed to remove everything else.
-    robocopy /NP /NFL /NDL /NJH /E %LIBRARY_LIB%\ torch\lib\ torch_python.lib
-    robocopy /NP /NFL /NDL /NJH /E %LIBRARY_LIB%\ torch\lib\ _C.lib
+    mkdir %SP_DIR%\torch\lib
+    robocopy /NP /NFL /NDL /NJH /E /MOV %LIBRARY_LIB%\ %SP_DIR%\torch\lib\ torch_python.lib _C.lib
 )
 
 @REM Show the sccache stats.

recipe/build.sh

@@ -34,6 +34,9 @@ export CXXFLAGS="$(echo $CXXFLAGS | sed 's/-std=c++[0-9][0-9]//g')"
 # break users' programs
 export CFLAGS="$(echo $CFLAGS | sed 's/-fvisibility-inlines-hidden//g')"
 export CXXFLAGS="$(echo $CXXFLAGS | sed 's/-fvisibility-inlines-hidden//g')"
+# ignore warnings; blows up the logs for no benefit; they need to be fixed upstream
+export CXXFLAGS="$CXXFLAGS -w"
+
 export LDFLAGS="$(echo $LDFLAGS | sed 's/-Wl,--as-needed//g')"
 # The default conda LDFLAGs include -Wl,-dead_strip_dylibs, which removes all the
 # MKL sequential, core, etc. libraries, resulting in a "Symbol not found: _mkl_blas_caxpy"
@@ -54,6 +57,10 @@ export _GLIBCXX_USE_CXX11_ABI=1
 if [[ "$target_platform" == "osx-64" ]]; then
   export CXXFLAGS="$CXXFLAGS -DTARGET_OS_OSX=1"
   export CFLAGS="$CFLAGS -DTARGET_OS_OSX=1"
+elif [[ "$target_platform" == linux-* ]]; then
+    # Explicitly force non-executable stack to fix compatibility with glibc 2.41, due to:
+    # ittptmark64.S.o: missing .note.GNU-stack section implies executable stack
+    LDFLAGS="${LDFLAGS} -Wl,-z,noexecstack"
 fi
 
 # Dynamic libraries need to be lazily loaded so that torch
@@ -219,8 +226,10 @@ elif [[ ${cuda_compiler_version} != "None" ]]; then
     export USE_STATIC_CUDNN=0
     export MAGMA_HOME="${PREFIX}"
     export USE_MAGMA=1
-    # turn off noisy nvcc warnings
-    export CMAKE_CUDA_FLAGS="-w --ptxas-options=-w"
+    export CUDA_VERSION=$cuda_compiler_version
+    # ptxas advisories do not get ignored correctly, see
+    # https://github.com/conda-forge/cuda-nvcc-feedstock/issues/60
+    export CMAKE_CUDA_FLAGS="-w -Xptxas -w"
 else
     if [[ "$target_platform" != *-64 ]]; then
       # Breakpad seems to not work on aarch64 or ppc64le
@@ -240,7 +249,12 @@ case ${PKG_NAME} in
   libtorch)
     # Call setup.py directly to avoid spending time on unnecessarily
     # packing and unpacking the wheel.
-    $PREFIX/bin/python setup.py build
+    if [[ "$target_platform" == linux-* ]]; then
+        # filter out extremely noisy ptxas advisories
+        $PREFIX/bin/python setup.py -q build | stdbuf -oL grep -vE "Advisory: Modifier '\.sp::ordered_metadata'"
+    else
+        $PREFIX/bin/python setup.py -q build
+    fi
 
     mv build/lib.*/torch/bin/* ${PREFIX}/bin/
     mv build/lib.*/torch/lib/* ${PREFIX}/lib/
@@ -253,7 +267,7 @@ case ${PKG_NAME} in
     cp build/CMakeCache.txt build/CMakeCache.txt.orig
     ;;
   pytorch)
-    $PREFIX/bin/python -m pip install . --no-deps --no-build-isolation -v --no-clean \
+    $PREFIX/bin/python -m pip install . --no-deps --no-build-isolation -v --no-clean --config-settings=--global-option=-q \
         | sed "s,${CXX},\$\{CXX\},g" \
         | sed "s,${PREFIX},\$\{PREFIX\},g"
     # Keep this in ${PREFIX}/lib so that the library can be found by