apply

.ci/aarch64_linux/aarch64_wheel_ci_build.py

@@ -39,7 +39,7 @@ def build_ArmComputeLibrary() -> None:
             "clone",
             "https://github.com/ARM-software/ComputeLibrary.git",
             "-b",
-            "v25.02",
+            "v24.09",
             "--depth",
             "1",
             "--shallow-submodules",
@@ -99,14 +99,10 @@ def update_wheel(wheel_path, desired_cuda) -> None:
         if "126" in desired_cuda:
             libs_to_copy += [
                 "/usr/local/cuda/lib64/libnvrtc-builtins.so.12.6",
-                "/usr/local/cuda/lib64/libcufile.so.0",
-                "/usr/local/cuda/lib64/libcufile_rdma.so.1",
             ]
         elif "128" in desired_cuda:
             libs_to_copy += [
                 "/usr/local/cuda/lib64/libnvrtc-builtins.so.12.8",
-                "/usr/local/cuda/lib64/libcufile.so.0",
-                "/usr/local/cuda/lib64/libcufile_rdma.so.1",
             ]
     else:
         libs_to_copy += [
@@ -208,7 +204,7 @@ if __name__ == "__main__":
         else:
             build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={version}.dev{build_date} PYTORCH_BUILD_NUMBER=1 "
     elif branch.startswith(("v1.", "v2.")):
-        build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={branch[1 : branch.find('-')]} PYTORCH_BUILD_NUMBER=1 "
+        build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={branch[1:branch.find('-')]} PYTORCH_BUILD_NUMBER=1 "
 
     if enable_mkldnn:
         build_ArmComputeLibrary()

.ci/aarch64_linux/build_aarch64_wheel.py

@@ -329,7 +329,7 @@ def build_ArmComputeLibrary(host: RemoteHost, git_clone_flags: str = "") -> None
         ]
     )
     host.run_cmd(
-        f"git clone https://github.com/ARM-software/ComputeLibrary.git -b v25.02 {git_clone_flags}"
+        f"git clone https://github.com/ARM-software/ComputeLibrary.git -b v24.09 {git_clone_flags}"
     )
 
     host.run_cmd(f"cd ComputeLibrary && scons Werror=1 -j8 {acl_build_flags}")
@@ -761,7 +761,7 @@ def start_build(
         version = host.check_output("cat pytorch/version.txt").strip()[:-2]
         build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={version}.dev{build_date} PYTORCH_BUILD_NUMBER=1"
     if branch.startswith(("v1.", "v2.")):
-        build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={branch[1 : branch.find('-')]} PYTORCH_BUILD_NUMBER=1"
+        build_vars += f"BUILD_TEST=0 PYTORCH_BUILD_VERSION={branch[1:branch.find('-')]} PYTORCH_BUILD_NUMBER=1"
     if host.using_docker():
         build_vars += " CMAKE_SHARED_LINKER_FLAGS=-Wl,-z,max-page-size=0x10000"
     if enable_mkldnn:

.ci/docker/build.sh

@@ -1,8 +1,4 @@
 #!/bin/bash
-# The purpose of this script is to:
-# 1. Extract the set of parameters to be used for a docker build based on the provided image name.
-# 2. Run docker build with the parameters found in step 1.
-# 3. Run the built image and print out the expected and actual versions of packages installed.
 
 set -ex
 
@@ -99,11 +95,11 @@ fi
 # configuration, so we hardcode everything here rather than do it
 # from scratch
 case "$image" in
-  pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc11)
-    CUDA_VERSION=12.6.3
+  pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9)
+    CUDA_VERSION=12.4.1
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=11
+    GCC_VERSION=9
     PROTOBUF=yes
     DB=yes
     VISION=yes
@@ -158,65 +154,6 @@ case "$image" in
     TRITON=yes
     INDUCTOR_BENCHMARKS=yes
     ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc9)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.10
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3.12-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.12
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
-  pytorch-linux-focal-cuda12.6-cudnn9-py3.13-gcc9-inductor-benchmarks)
-    CUDA_VERSION=12.6.3
-    CUDNN_VERSION=9
-    ANACONDA_PYTHON_VERSION=3.13
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    UCX_COMMIT=${_UCX_COMMIT}
-    UCC_COMMIT=${_UCC_COMMIT}
-    CONDA_CMAKE=yes
-    TRITON=yes
-    INDUCTOR_BENCHMARKS=yes
-    ;;
   pytorch-linux-focal-cuda11.8-cudnn9-py3-gcc9)
     CUDA_VERSION=11.8.0
     CUDNN_VERSION=9
@@ -385,7 +322,7 @@ case "$image" in
     EXECUTORCH=yes
     ;;
   pytorch-linux-jammy-py3.12-halide)
-    CUDA_VERSION=12.6
+    CUDA_VERSION=12.4
     ANACONDA_PYTHON_VERSION=3.12
     GCC_VERSION=11
     CONDA_CMAKE=yes
@@ -393,7 +330,7 @@ case "$image" in
     TRITON=yes
     ;;
   pytorch-linux-jammy-py3.12-triton-cpu)
-    CUDA_VERSION=12.6
+    CUDA_VERSION=12.4
     ANACONDA_PYTHON_VERSION=3.12
     GCC_VERSION=11
     CONDA_CMAKE=yes

.ci/docker/ci_commit_pins/triton-xpu.txt

@@ -1 +1 @@
-83111ab22be6e4a588d184ac45175986a7dde9fc
+e98b6fcb8df5b44eb0d0addb6767c573d37ba024

.ci/docker/ci_commit_pins/triton.txt

@@ -1 +1 @@
-96316ce50fade7e209553aba4898cd9b82aab83b
+4b3bb1f8da0ded6ccd572dd1358ef45af5a1befe

.ci/docker/common/install_acl.sh

@@ -1,6 +1,6 @@
 set -euo pipefail
 
-readonly version=v25.02
+readonly version=v24.04
 readonly src_host=https://github.com/ARM-software
 readonly src_repo=ComputeLibrary
 

.ci/docker/common/install_conda.sh

@@ -66,7 +66,7 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
 
   # Install PyTorch conda deps, as per https://github.com/pytorch/pytorch README
   if [[ $(uname -m) == "aarch64" ]]; then
-    conda_install "openblas==0.3.29=*openmp*"
+    conda_install "openblas==0.3.28=*openmp*"
   else
     conda_install "mkl=2021.4.0 mkl-include=2021.4.0"
   fi

.ci/docker/common/install_ninja.sh

@@ -4,15 +4,10 @@ set -ex
 
 [ -n "$NINJA_VERSION" ]
 
-arch=$(uname -m)
-if [ "$arch" == "aarch64" ]; then
-    url="https://github.com/ninja-build/ninja/releases/download/v${NINJA_VERSION}/ninja-linux-aarch64.zip"
-else
-    url="https://github.com/ninja-build/ninja/releases/download/v${NINJA_VERSION}/ninja-linux.zip"
-fi
+url="https://github.com/ninja-build/ninja/releases/download/v${NINJA_VERSION}/ninja-linux.zip"
 
 pushd /tmp
 wget --no-verbose --output-document=ninja-linux.zip "$url"
 unzip ninja-linux.zip -d /usr/local/bin
 rm -f ninja-linux.zip
-popd
+popd

.ci/docker/common/install_onnx.sh

@@ -32,7 +32,7 @@ pip_install coloredlogs packaging
 
 pip_install onnxruntime==1.18.1
 pip_install onnx==1.17.0
-pip_install onnxscript==0.2.2 --no-deps
+pip_install onnxscript==0.1.0 --no-deps
 # required by onnxscript
 pip_install ml_dtypes
 

.ci/docker/common/install_openblas.sh

@@ -4,7 +4,7 @@
 set -ex
 
 cd /
-git clone https://github.com/OpenMathLib/OpenBLAS.git -b v0.3.29 --depth 1 --shallow-submodules
+git clone https://github.com/OpenMathLib/OpenBLAS.git -b v0.3.28 --depth 1 --shallow-submodules
 
 
 OPENBLAS_BUILD_FLAGS="

.ci/docker/common/install_rocm_drm.sh

@@ -115,7 +115,7 @@ index a5007ffc..13fa07fc 100644
  	if (!fp) {
 -		fprintf(stderr, "%s: %s\n", AMDGPU_ASIC_ID_TABLE,
 -			strerror(errno));
-+		//fprintf(stderr, "amdgpu.ids: No such file or directory\n");
++		fprintf(stderr, "amdgpu.ids: No such file or directory\n");
  		return;
  	}
 

.ci/docker/common/install_triton.sh

@@ -60,15 +60,15 @@ if [ -n "${UBUNTU_VERSION}" ] && [ -n "${GCC_VERSION}" ] && [[ "${GCC_VERSION}"
   # Triton needs at least gcc-9 to build
   apt-get install -y g++-9
 
-  CXX=g++-9 pip_install .
+  CXX=g++-9 pip_install -e .
 elif [ -n "${UBUNTU_VERSION}" ] && [ -n "${CLANG_VERSION}" ]; then
   # Triton needs <filesystem> which surprisingly is not available with clang-9 toolchain
   add-apt-repository -y ppa:ubuntu-toolchain-r/test
   apt-get install -y g++-9
 
-  CXX=g++-9 pip_install .
+  CXX=g++-9 pip_install -e .
 else
-  pip_install .
+  pip_install -e .
 fi
 
 if [ -n "${CONDA_CMAKE}" ]; then

.ci/docker/libtorch/build.sh

@@ -39,7 +39,7 @@ case ${GPU_ARCH_TYPE} in
         BASE_TARGET=rocm
         DOCKER_TAG=rocm${GPU_ARCH_VERSION}
         GPU_IMAGE=rocm/dev-ubuntu-20.04:${GPU_ARCH_VERSION}-complete
-        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
+        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx1030;gfx1100;gfx1101;gfx942"
         DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH}"
         ;;
     *)

.ci/docker/manywheel/Dockerfile_2014

@@ -0,0 +1,153 @@
+# syntax = docker/dockerfile:experimental
+ARG ROCM_VERSION=3.7
+ARG BASE_CUDA_VERSION=10.2
+ARG GPU_IMAGE=nvidia/cuda:${BASE_CUDA_VERSION}-devel-centos7
+FROM quay.io/pypa/manylinux2014_x86_64 as base
+
+ENV LC_ALL en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US.UTF-8
+
+RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
+RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
+RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
+RUN yum install -y wget curl perl util-linux xz bzip2 git patch which perl zlib-devel
+RUN yum install -y yum-utils centos-release-scl sudo
+RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
+RUN yum install -y devtoolset-7-gcc devtoolset-7-gcc-c++ devtoolset-7-gcc-gfortran devtoolset-7-binutils
+ENV PATH=/opt/rh/devtoolset-7/root/usr/bin:$PATH
+ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib:$LD_LIBRARY_PATH
+
+# cmake
+RUN yum install -y cmake3 && \
+    ln -s /usr/bin/cmake3 /usr/bin/cmake
+FROM base as openssl
+# Install openssl (this must precede `build python` step)
+# (In order to have a proper SSL module, Python is compiled
+# against a recent openssl [see env vars above], which is linked
+# statically. We delete openssl afterwards.)
+ADD ./common/install_openssl.sh install_openssl.sh
+RUN bash ./install_openssl.sh && rm install_openssl.sh
+
+
+
+# remove unncessary python versions
+RUN rm -rf /opt/python/cp26-cp26m /opt/_internal/cpython-2.6.9-ucs2
+RUN rm -rf /opt/python/cp26-cp26mu /opt/_internal/cpython-2.6.9-ucs4
+RUN rm -rf /opt/python/cp33-cp33m /opt/_internal/cpython-3.3.6
+RUN rm -rf /opt/python/cp34-cp34m /opt/_internal/cpython-3.4.6
+
+FROM base as cuda
+ARG BASE_CUDA_VERSION=10.2
+# Install CUDA
+ADD ./common/install_cuda.sh install_cuda.sh
+RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
+
+FROM base as intel
+# MKL
+ADD ./common/install_mkl.sh install_mkl.sh
+RUN bash ./install_mkl.sh && rm install_mkl.sh
+
+FROM base as magma
+ARG BASE_CUDA_VERSION=10.2
+# Install magma
+ADD ./common/install_magma.sh install_magma.sh
+RUN bash ./install_magma.sh ${BASE_CUDA_VERSION} && rm install_magma.sh
+
+FROM base as jni
+# Install java jni header
+ADD ./common/install_jni.sh install_jni.sh
+ADD ./java/jni.h jni.h
+RUN bash ./install_jni.sh && rm install_jni.sh
+
+FROM base as libpng
+# Install libpng
+ADD ./common/install_libpng.sh install_libpng.sh
+RUN bash ./install_libpng.sh && rm install_libpng.sh
+
+FROM ${GPU_IMAGE} as common
+RUN sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
+RUN sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
+RUN sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
+ENV LC_ALL en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US.UTF-8
+RUN yum install -y \
+        aclocal \
+        autoconf \
+        automake \
+        bison \
+        bzip2 \
+        curl \
+        diffutils \
+        file \
+        git \
+        make \
+        patch \
+        perl \
+        unzip \
+        util-linux \
+        wget \
+        which \
+        xz \
+        yasm
+RUN yum install -y \
+    https://repo.ius.io/ius-release-el7.rpm \
+    https://ossci-linux.s3.amazonaws.com/epel-release-7-14.noarch.rpm
+
+RUN yum swap -y git git236-core
+# git236+ would refuse to run git commands in repos owned by other users
+# Which causes version check to fail, as pytorch repo is bind-mounted into the image
+# Override this behaviour by treating every folder as safe
+# For more details see https://github.com/pytorch/pytorch/issues/78659#issuecomment-1144107327
+RUN git config --global --add safe.directory "*"
+
+ENV SSL_CERT_FILE=/opt/_internal/certs.pem
+# Install LLVM version
+COPY --from=openssl            /opt/openssl                          /opt/openssl
+COPY --from=base               /opt/python                           /opt/python
+COPY --from=base               /opt/_internal                        /opt/_internal
+COPY --from=base               /usr/local/bin/auditwheel             /usr/local/bin/auditwheel
+COPY --from=intel              /opt/intel                            /opt/intel
+COPY --from=base               /usr/local/bin/patchelf               /usr/local/bin/patchelf
+COPY --from=libpng             /usr/local/bin/png*                   /usr/local/bin/
+COPY --from=libpng             /usr/local/bin/libpng*                /usr/local/bin/
+COPY --from=libpng             /usr/local/include/png*               /usr/local/include/
+COPY --from=libpng             /usr/local/include/libpng*            /usr/local/include/
+COPY --from=libpng             /usr/local/lib/libpng*                /usr/local/lib/
+COPY --from=libpng             /usr/local/lib/pkgconfig              /usr/local/lib/pkgconfig
+COPY --from=jni                /usr/local/include/jni.h              /usr/local/include/jni.h
+
+FROM common as cpu_final
+ARG BASE_CUDA_VERSION=10.2
+RUN yum install -y yum-utils centos-release-scl
+RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
+RUN yum install -y devtoolset-7-gcc devtoolset-7-gcc-c++ devtoolset-7-gcc-gfortran devtoolset-7-binutils
+ENV PATH=/opt/rh/devtoolset-7/root/usr/bin:$PATH
+ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib:$LD_LIBRARY_PATH
+
+# cmake
+RUN yum install -y cmake3 && \
+    ln -s /usr/bin/cmake3 /usr/bin/cmake
+
+# ninja
+RUN yum install -y http://repo.okay.com.mx/centos/7/x86_64/release/okay-release-1-1.noarch.rpm
+RUN yum install -y ninja-build
+
+FROM cpu_final as cuda_final
+RUN rm -rf /usr/local/cuda-${BASE_CUDA_VERSION}
+COPY --from=cuda     /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
+COPY --from=magma    /usr/local/cuda-${BASE_CUDA_VERSION}  /usr/local/cuda-${BASE_CUDA_VERSION}
+
+FROM common as rocm_final
+ARG ROCM_VERSION=3.7
+# Install ROCm
+ADD ./common/install_rocm.sh install_rocm.sh
+RUN bash ./install_rocm.sh ${ROCM_VERSION} && rm install_rocm.sh
+# cmake is already installed inside the rocm base image, but both 2 and 3 exist
+# cmake3 is needed for the later MIOpen custom build, so that step is last.
+RUN yum install -y cmake3 && \
+    rm -f /usr/bin/cmake && \
+    ln -s /usr/bin/cmake3 /usr/bin/cmake
+ADD ./common/install_miopen.sh install_miopen.sh
+RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh

.ci/docker/manywheel/Dockerfile_2_28_aarch64

@@ -38,12 +38,6 @@ RUN yum install -y \
   sudo \
   gcc-toolset-${GCCTOOLSET_VERSION}-toolchain
 
-# (optional) Install non-default Ninja version
-ARG NINJA_VERSION
-COPY ./common/install_ninja.sh install_ninja.sh
-RUN if [ -n "${NINJA_VERSION}" ]; then bash ./install_ninja.sh; fi
-RUN rm install_ninja.sh
-
 # Ensure the expected devtoolset is used
 ENV PATH=/opt/rh/gcc-toolset-${GCCTOOLSET_VERSION}/root/usr/bin:$PATH
 ENV LD_LIBRARY_PATH=/opt/rh/gcc-toolset-${GCCTOOLSET_VERSION}/root/usr/lib64:/opt/rh/gcc-toolset-${GCCTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH

.ci/docker/manywheel/build.sh

@@ -48,7 +48,7 @@ case ${GPU_ARCH_TYPE} in
         TARGET=final
         DOCKER_TAG=cpu-aarch64
         GPU_IMAGE=arm64v8/almalinux:8
-        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11 --build-arg NINJA_VERSION=1.12.1"
+        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
         MANY_LINUX_VERSION="2_28_aarch64"
         ;;
     cpu-cxx11-abi)
@@ -97,7 +97,7 @@ case ${GPU_ARCH_TYPE} in
             DEVTOOLSET_VERSION="11"
             GPU_IMAGE=rocm/dev-almalinux-8:${GPU_ARCH_VERSION}-complete
         fi
-        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
+        PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101"
         DOCKER_GPU_BUILD_ARG="--build-arg ROCM_VERSION=${GPU_ARCH_VERSION} --build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH} --build-arg DEVTOOLSET_VERSION=${DEVTOOLSET_VERSION}"
         ;;
     xpu)
@@ -121,8 +121,7 @@ fi
 (
     set -x
 
-    # Only activate this if in CI
-    if [ "$(uname -m)" != "s390x" ] && [ -v CI ]; then
+    if [ "$(uname -m)" != "s390x" ]; then
         # TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
         # is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
         sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
@@ -140,7 +139,7 @@ fi
         "${TOPDIR}/.ci/docker/"
 )
 
-GITHUB_REF=${GITHUB_REF:-"dev")}
+GITHUB_REF=${GITHUB_REF:-$(git symbolic-ref -q HEAD || git describe --tags --exact-match)}
 GIT_BRANCH_NAME=${GITHUB_REF##*/}
 GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
 DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE}-${GIT_BRANCH_NAME}

.ci/docker/manywheel/build_scripts/build_utils.sh

@@ -3,7 +3,7 @@
 # Script used only in CD pipeline
 
 OPENSSL_DOWNLOAD_URL=https://www.openssl.org/source/old/1.1.1/
-CURL_DOWNLOAD_URL=https://curl.se/download
+CURL_DOWNLOAD_URL=https://curl.askapache.com/download
 
 AUTOCONF_DOWNLOAD_URL=https://ftp.gnu.org/gnu/autoconf
 

.ci/docker/requirements-ci.txt

@@ -90,10 +90,10 @@ librosa>=0.6.2 ; python_version < "3.11"
 #Pinned versions:
 #test that import:
 
-mypy==1.14.0
+mypy==1.13.0
 # Pin MyPy version because new errors are likely to appear with each release
 #Description: linter
-#Pinned versions: 1.14.0
+#Pinned versions: 1.10.0
 #test that import: test_typing.py, test_type_hints.py
 
 networkx==2.8.8
@@ -294,7 +294,7 @@ ghstack==0.8.0
 #Pinned versions: 0.8.0
 #test that import:
 
-jinja2==3.1.6
+jinja2==3.1.5
 #Description: jinja2 template engine
 #Pinned versions: 3.1.4
 #test that import:
@@ -339,7 +339,7 @@ onnx==1.17.0
 #Pinned versions:
 #test that import:
 
-onnxscript==0.2.2
+onnxscript==0.1.0
 #Description: Required by mypy and test_public_bindings.py when checking torch.onnx._internal
 #Pinned versions:
 #test that import:

.ci/docker/triton_version.txt

@@ -1 +1 @@
-3.3.0
+3.2.0

.ci/magma/Makefile

@@ -12,7 +12,7 @@ DOCKER_RUN = set -eou pipefail; ${DOCKER_CMD} run --rm -i \
 	-e PACKAGE_NAME=${PACKAGE_NAME}${DESIRED_CUDA_SHORT} \
 	-e DESIRED_CUDA=${DESIRED_CUDA} \
 	-e CUDA_ARCH_LIST="${CUDA_ARCH_LIST}" \
-	"pytorch/manylinux2_28-builder:cuda${DESIRED_CUDA}-main" \
+	"pytorch/manylinux-builder:cuda${DESIRED_CUDA}-main" \
 	magma/build_magma.sh
 
 .PHONY: all

.ci/manywheel/build_cuda.sh

@@ -54,11 +54,11 @@ cuda_version_nodot=$(echo $CUDA_VERSION | tr -d '.')
 TORCH_CUDA_ARCH_LIST="5.0;6.0;7.0;7.5;8.0;8.6"
 case ${CUDA_VERSION} in
     12.8)
-        TORCH_CUDA_ARCH_LIST="7.5;8.0;8.6;9.0;10.0;12.0+PTX" #removing sm_50-sm_70 as these architectures are deprecated in CUDA 12.8 and will be removed in future releases
+        TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};9.0;10.0;12.0+PTX" #Ripping out 5.0 and 6.0 due to ld error
         EXTRA_CAFFE2_CMAKE_FLAGS+=("-DATEN_NO_TEST=ON")
         ;;
     12.6)
-        TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};9.0"
+        TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};9.0+PTX"
         EXTRA_CAFFE2_CMAKE_FLAGS+=("-DATEN_NO_TEST=ON")
         ;;
     12.4)

.ci/pytorch/build.sh

@@ -173,7 +173,6 @@ if [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
   source /opt/intel/oneapi/compiler/latest/env/vars.sh
   # XPU kineto feature dependencies are not fully ready, disable kineto build as temp WA
   export USE_KINETO=0
-  export TORCH_XPU_ARCH_LIST=pvc
 fi
 
 # sccache will fail for CUDA builds if all cores are used for compiling
@@ -192,7 +191,7 @@ fi
 
 # We only build FlashAttention files for CUDA 8.0+, and they require large amounts of
 # memory to build and will OOM
-if [[ "$BUILD_ENVIRONMENT" == *cuda* ]] && [[ 1 -eq $(echo "${TORCH_CUDA_ARCH_LIST} >= 8.0" | bc) ]] && [ -z "$MAX_JOBS_OVERRIDE" ]; then
+if [[ "$BUILD_ENVIRONMENT" == *cuda* ]] && [[ 1 -eq $(echo "${TORCH_CUDA_ARCH_LIST} >= 8.0" | bc) ]]; then
   echo "WARNING: FlashAttention files require large amounts of memory to build and will OOM"
   echo "Setting MAX_JOBS=(nproc-2)/3 to reduce memory usage"
   export MAX_JOBS="$(( $(nproc --ignore=2) / 3 ))"
@@ -378,10 +377,8 @@ else
     # This is an attempt to mitigate flaky libtorch build OOM error. By default, the build parallelization
     # is set to be the number of CPU minus 2. So, let's try a more conservative value here. A 4xlarge has
     # 16 CPUs
-    if [ -z "$MAX_JOBS_OVERRIDE" ]; then
-      MAX_JOBS=$(nproc --ignore=4)
-      export MAX_JOBS
-    fi
+    MAX_JOBS=$(nproc --ignore=4)
+    export MAX_JOBS
 
     # NB: Install outside of source directory (at the same level as the root
     # pytorch folder) so that it doesn't get cleaned away prior to docker push.

.ci/pytorch/common_utils.sh

@@ -202,7 +202,7 @@ function install_torchrec_and_fbgemm() {
 
 function clone_pytorch_xla() {
   if [[ ! -d ./xla ]]; then
-    git clone --recursive -b r2.7 https://github.com/pytorch/xla.git
+    git clone --recursive --quiet https://github.com/pytorch/xla.git
     pushd xla
     # pin the xla hash so that we don't get broken by changes to xla
     git checkout "$(cat ../.github/ci_commit_pins/xla.txt)"

.ci/pytorch/smoke_test/max_autotune.py

@@ -46,9 +46,7 @@ def train(args, model, device, train_loader, optimizer, epoch):
         optimizer.step()
         if batch_idx % args.log_interval == 0:
             print(
-                f"Train Epoch: {epoch} "
-                f"[{batch_idx * len(data)}/{len(train_loader.dataset)} "
-                f"({100.0 * batch_idx / len(train_loader):.0f}%)]\tLoss: {loss.item():.6f}"
+                f"Train Epoch: {epoch} [{batch_idx * len(data)}/{len(train_loader.dataset)} ({100. * batch_idx / len(train_loader):.0f}%)]\tLoss: {loss.item():.6f}"  # noqa: B950
             )
             if args.dry_run:
                 break
@@ -73,9 +71,7 @@ def test(model, device, test_loader):
     test_loss /= len(test_loader.dataset)
 
     print(
-        f"\nTest set: Average loss: {test_loss:.4f}, "
-        f"Accuracy: {correct}/{len(test_loader.dataset)} "
-        f"({100.0 * correct / len(test_loader.dataset):.0f}%)\n"
+        f"\nTest set: Average loss: {test_loss:.4f}, Accuracy: {correct}/{len(test_loader.dataset)} ({100. * correct / len(test_loader.dataset):.0f}%)\n"  # noqa: B950
     )
 
 

.ci/pytorch/smoke_test/smoke_test.py

@@ -166,10 +166,6 @@ def test_cuda_gds_errors_captured() -> None:
     major_version = int(torch.version.cuda.split(".")[0])
     minor_version = int(torch.version.cuda.split(".")[1])
 
-    if target_os == "windows":
-        print(f"{target_os} is not supported for GDS smoke test")
-        return
-
     if major_version < 12 or (major_version == 12 and minor_version < 6):
         print("CUDA version is not supported for GDS smoke test")
         return

.ci/pytorch/test.sh

@@ -314,13 +314,6 @@ test_python() {
   assert_git_not_dirty
 }
 
-test_lazy_tensor_meta_reference_disabled() {
-  export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
-  echo "Testing lazy tensor operations without meta reference"
-  time python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
-  export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
-}
-
 
 test_dynamo_wrapped_shard() {
   if [[ -z "$NUM_TEST_SHARDS" ]]; then
@@ -483,8 +476,6 @@ elif [[ "${TEST_CONFIG}" == *aot_eager* ]]; then
   DYNAMO_BENCHMARK_FLAGS+=(--backend aot_eager)
 elif [[ "${TEST_CONFIG}" == *aot_inductor* ]]; then
   DYNAMO_BENCHMARK_FLAGS+=(--export-aot-inductor)
-elif [[ "${TEST_CONFIG}" == *max_autotune_inductor* ]]; then
-  DYNAMO_BENCHMARK_FLAGS+=(--inductor --inductor-compile-mode max-autotune)
 elif [[ "${TEST_CONFIG}" == *inductor* && "${TEST_CONFIG}" != *perf* ]]; then
   DYNAMO_BENCHMARK_FLAGS+=(--inductor)
 fi
@@ -499,59 +490,6 @@ else
   DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
 fi
 
-test_cachebench() {
-  TEST_REPORTS_DIR=$(pwd)/test/test-reports
-  mkdir -p "$TEST_REPORTS_DIR"
-
-  local BENCHMARK
-  if [[ "${SHARD_NUMBER}" == 1 ]]; then
-    local BENCHMARK=torchbench
-  elif [[ "${SHARD_NUMBER}" == 2 ]]; then
-    local BENCHMARK=huggingface
-  else
-    echo "invalid SHARD_NUMBER: ${SHARD_NUMBER}"
-    exit 1
-  fi
-
-  local mode_options=("training" "inference")
-
-  for mode in "${mode_options[@]}"; do
-    $TASKSET python "benchmarks/dynamo/cachebench.py" \
-        --mode "$mode" \
-        --device cuda \
-        --benchmark "$BENCHMARK" \
-        --repeat 3 \
-        --output "$TEST_REPORTS_DIR/cachebench_${BENCHMARK}_${mode}.json"
-
-    $TASKSET python "benchmarks/dynamo/cachebench.py" \
-        --mode "$mode" \
-        --dynamic \
-        --device cuda \
-        --benchmark "$BENCHMARK" \
-        --repeat 3 \
-        --output "$TEST_REPORTS_DIR/cachebench_${BENCHMARK}_${mode}_dynamic.json"
-  done
-}
-
-test_verify_cachebench() {
-  TMP_TEST_REPORTS_DIR=$(mktemp -d)
-  TEST_OUTPUT="$TMP_TEST_REPORTS_DIR/test.json"
-
-  $TASKSET python "benchmarks/dynamo/cachebench.py" \
-      --mode training \
-      --device cpu \
-      --model nanogpt \
-      --benchmark torchbench \
-      --output "$TEST_OUTPUT"
-
-  # -s checks file exists and is non empty
-  if [[ ! -s "$TEST_OUTPUT" ]]; then
-    echo "Cachebench failed to produce an output."
-    echo "Run 'python benchmarks/dynamo/cachebench.py' to make sure it works"
-    exit 1
-  fi
-}
-
 test_perf_for_dashboard() {
   TEST_REPORTS_DIR=$(pwd)/test/test-reports
   mkdir -p "$TEST_REPORTS_DIR"
@@ -580,8 +518,6 @@ test_perf_for_dashboard() {
     test_inductor_set_cpu_affinity
   elif [[ "${TEST_CONFIG}" == *cuda_a10g* ]]; then
     device=cuda_a10g
-  elif [[ "${TEST_CONFIG}" == *h100* ]]; then
-    device=cuda_h100
   elif [[ "${TEST_CONFIG}" == *rocm* ]]; then
     device=rocm
   fi
@@ -762,8 +698,6 @@ test_dynamo_benchmark() {
       fi
     elif [[ "${TEST_CONFIG}" == *aot_inductor* ]]; then
       test_single_dynamo_benchmark "inference" "$suite" "$shard_id" --inference --bfloat16 "$@"
-    elif [[ "${TEST_CONFIG}" == *max_autotune_inductor* ]]; then
-      test_single_dynamo_benchmark "inference" "$suite" "$shard_id" --inference --bfloat16 "$@"
     else
       test_single_dynamo_benchmark "inference" "$suite" "$shard_id" --inference --bfloat16 "$@"
       test_single_dynamo_benchmark "training" "$suite" "$shard_id" --training --amp "$@"
@@ -1505,7 +1439,7 @@ test_executorch() {
 test_linux_aarch64() {
   python test/run_test.py --include test_modules test_mkldnn test_mkldnn_fusion test_openmp test_torch test_dynamic_shapes \
         test_transformers test_multiprocessing test_numpy_interop test_autograd test_binary_ufuncs test_complex test_spectral_ops \
-        test_foreach test_reductions test_unary_ufuncs test_tensor_creation_ops test_ops \
+        test_foreach test_reductions test_unary_ufuncs test_tensor_creation_ops \
         --shard "$SHARD_NUMBER" "$NUM_TEST_SHARDS" --verbose
 
   # Dynamo tests
@@ -1573,16 +1507,6 @@ elif [[ "${TEST_CONFIG}" == *timm* ]]; then
   install_torchvision
   id=$((SHARD_NUMBER-1))
   test_dynamo_benchmark timm_models "$id"
-elif [[ "${TEST_CONFIG}" == cachebench ]]; then
-  install_torchaudio cuda
-  install_torchvision
-  checkout_install_torchbench nanogpt BERT_pytorch resnet50 hf_T5 llama moco
-  PYTHONPATH=$(pwd)/torchbench test_cachebench
-elif [[ "${TEST_CONFIG}" == verify_cachebench ]]; then
-  install_torchaudio cpu
-  install_torchvision
-  checkout_install_torchbench nanogpt
-  PYTHONPATH=$(pwd)/torchbench test_verify_cachebench
 elif [[ "${TEST_CONFIG}" == *torchbench* ]]; then
   if [[ "${TEST_CONFIG}" == *cpu* ]]; then
     install_torchaudio cpu
@@ -1638,7 +1562,6 @@ elif [[ "${BUILD_ENVIRONMENT}" == *rocm* && -n "$TESTS_TO_INCLUDE" ]]; then
   test_python_shard "$SHARD_NUMBER"
   test_aten
 elif [[ "${SHARD_NUMBER}" == 1 && $NUM_TEST_SHARDS -gt 1 ]]; then
-  test_lazy_tensor_meta_reference_disabled
   test_without_numpy
   install_torchvision
   test_python_shard 1

.ci/pytorch/windows/arm64/bootstrap_buildtools.bat

@@ -17,24 +17,32 @@ curl -L -o "%INSTALLER_FILE%" %DOWNLOAD_URL%
 :: Install the Visual Studio Build Tools with C++ components
 echo Installing Visual Studio Build Tools with C++ components...
 echo Installing MSVC %MSVC_VERSION%
-"%INSTALLER_FILE%" --norestart --quiet --wait --installPath "%DEPENDENCIES_DIR%\VSBuildTools" ^
-    --add Microsoft.VisualStudio.Workload.VCTools ^
-    --add Microsoft.VisualStudio.Component.Windows10SDK ^
-    --add Microsoft.VisualStudio.Component.Windows11SDK.22621 ^
-    --add Microsoft.VisualStudio.Component.VC.ASAN ^
-    --add Microsoft.VisualStudio.Component.VC.CMake.Project ^
-    --add Microsoft.VisualStudio.Component.VC.CoreBuildTools ^
-    --add Microsoft.VisualStudio.Component.VC.CoreIde ^
-    --add Microsoft.VisualStudio.Component.VC.Redist.14.Latest ^
-    --add Microsoft.VisualStudio.Component.VC.Tools.ARM64EC ^
-    --add Microsoft.VisualStudio.Component.VC.Tools.ARM64 ^
-    --add Microsoft.VisualStudio.Component.VC.Tools.x86.x64
-
-echo exitcode = %errorlevel%
+if "%MSVC_VERSION%" == "latest" (
+    "%INSTALLER_FILE%" --norestart --nocache --quiet --wait --installPath "%DEPENDENCIES_DIR%\VSBuildTools" ^
+        --add Microsoft.VisualStudio.Component.Windows11SDK.22621 ^
+        --add Microsoft.VisualStudio.Component.VC.ASAN ^
+        --add Microsoft.VisualStudio.Component.VC.CMake.Project ^
+        --add Microsoft.VisualStudio.Component.VC.Tools.ARM64 ^
+        --add Microsoft.VisualStudio.Component.VC.Tools.x86.x64
+) else if "%MSVC_VERSION%" == "14.40" (
+    "%INSTALLER_FILE%" --norestart --nocache --quiet --wait --installPath "%DEPENDENCIES_DIR%\VSBuildTools" ^
+        --add Microsoft.VisualStudio.Component.Windows11SDK.22621 ^
+        --add Microsoft.VisualStudio.Component.VC.ASAN ^
+        --add Microsoft.VisualStudio.Component.VC.CMake.Project ^
+        --add Microsoft.VisualStudio.Component.VC.14.40.17.10.ARM64 ^
+        --add Microsoft.VisualStudio.Component.VC.14.40.17.10.x86.x64
+) else if "%MSVC_VERSION%" == "14.36" (
+    "%INSTALLER_FILE%" --norestart --nocache --quiet --wait --installPath "%DEPENDENCIES_DIR%\VSBuildTools" ^
+        --add Microsoft.VisualStudio.Component.Windows11SDK.22621 ^
+        --add Microsoft.VisualStudio.Component.VC.ASAN ^
+        --add Microsoft.VisualStudio.Component.VC.CMake.Project ^
+        --add Microsoft.VisualStudio.Component.VC.14.36.17.6.ARM64 ^
+        --add Microsoft.VisualStudio.Component.VC.14.36.17.6.x86.x64
+)
 
 :: Check if installation was successful
 if %errorlevel% neq 0 (
-    echo Failed to install Visual Studio Build Tools with C++ components.
+    echo "Failed to install Visual Studio Build Tools with C++ components. (exitcode = %errorlevel%)"
     exit /b 1
 )
 

.ci/pytorch/windows/arm64/bootstrap_python.bat

@@ -6,25 +6,22 @@ echo Dependency Python installation started.
 if not exist "%DOWNLOADS_DIR%" mkdir %DOWNLOADS_DIR%
 if not exist "%DEPENDENCIES_DIR%" mkdir %DEPENDENCIES_DIR%
 
-if "%DESIRED_PYTHON%" == "3.13" (
-    echo Python version is set to 3.13
-    set DOWNLOAD_URL=https://www.python.org/ftp/python/3.13.2/python-3.13.2-arm64.exe
-) else if "%DESIRED_PYTHON%" == "3.12" (
-    echo Python version is set to 3.12
-    set DOWNLOAD_URL=https://www.python.org/ftp/python/3.12.7/python-3.12.7-arm64.exe
-) else if "%DESIRED_PYTHON%" == "3.11" (
-    echo Python version is set to 3.11
-    set DOWNLOAD_URL=https://www.python.org/ftp/python/3.11.9/python-3.11.9-arm64.exe
+if "%PYTHON_VERSION%"=="Python312" (
+    echo Python version is set to Python312
+    set DOWNLOAD_URL="https://www.python.org/ftp/python/3.12.7/python-3.12.7-arm64.exe"
+) else if "%PYTHON_VERSION%"=="Python311" (
+    echo Python version is set to Python311
+    set DOWNLOAD_URL="https://www.python.org/ftp/python/3.11.9/python-3.11.9-arm64.exe"
 ) else (
-    echo DESIRED_PYTHON not defined, Python version is set to 3.12
-    set DOWNLOAD_URL=https://www.python.org/ftp/python/3.12.7/python-3.12.7-arm64.exe
+    echo PYTHON_VERSION not defined, Python version is set to Python312
+    set DOWNLOAD_URL="https://www.python.org/ftp/python/3.12.7/python-3.12.7-arm64.exe"
 )
 
 set INSTALLER_FILE=%DOWNLOADS_DIR%\python-installer.exe
 
 :: Download installer
 echo Downloading Python...
-curl -L -o "%INSTALLER_FILE%" "%DOWNLOAD_URL%"
+curl -L -o "%INSTALLER_FILE%" %DOWNLOAD_URL%
 
 :: Install Python
 echo Installing Python...

.ci/pytorch/windows/arm64/bootstrap_tests.bat

@@ -14,7 +14,7 @@ where python
 :: install dependencies
 python -m pip install --upgrade pip
 pip install -r requirements.txt
-pip install pytest numpy protobuf expecttest hypothesis
+pip install pytest numpy
 
 :: find file name for pytorch wheel
 for /f "delims=" %%f in ('dir /b "%PYTORCH_FINAL_PACKAGE_DIR%" ^| findstr "torch-"') do set "TORCH_WHEEL_FILENAME=%PYTORCH_FINAL_PACKAGE_DIR%\%%f"

.ci/pytorch/windows/arm64/smoke_test.bat

@@ -1,6 +1,8 @@
 @echo off
 setlocal
 
+set "ORIG_PATH=%PATH%"
+
 if "%PACKAGE_TYPE%" == "wheel" goto wheel
 if "%PACKAGE_TYPE%" == "libtorch" goto libtorch
 
@@ -8,7 +10,21 @@ echo "unknown package type"
 exit /b 1
 
 :wheel
-call %PYTORCH_ROOT%\.ci\pytorch\windows\arm64\bootstrap_tests.bat
+echo "install wheel package"
+
+echo Running pip install...
+pip install -q --pre numpy protobuf
+echo Error level after pip install: %ERRORLEVEL%
+if errorlevel 1 exit /b 1
+
+for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *.whl') do pip install "%%i"
+if errorlevel 1 exit /b 1
+
+goto smoke_test
+
+:smoke_test
+python -c "import torch"
+if ERRORLEVEL 1 exit /b 1
 
 echo Running python rnn_smoke.py...
 python %PYTORCH_ROOT%\.ci\pytorch\test_example_code\rnn_smoke_win_arm64.py
@@ -23,12 +39,10 @@ goto end
 :libtorch
 echo "install and test libtorch"
 
-if not exist tmp mkdir tmp
-
-for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *-latest.zip') do C:\Windows\System32\tar.exe -xf "%%i" -C tmp
+for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *-latest.zip') do tar -xf "%%i" -C tmp
 if ERRORLEVEL 1 exit /b 1
 
-pushd tmp
+pushd tmp\libtorch
 
 set VC_VERSION_LOWER=14
 set VC_VERSION_UPPER=36
@@ -46,4 +60,6 @@ if ERRORLEVEL 1 exit /b 1
 .\simple-torch-test.exe
 if ERRORLEVEL 1 exit /b 1
 
-:end
+:end
+set "PATH=%ORIG_PATH%"
+popd

.ci/pytorch/windows/internal/smoke_test.bat

@@ -71,20 +71,11 @@ if "%DESIRED_PYTHON%" == "3.13" %PYTHON_EXEC% -m pip install --pre numpy==2.1.2
 if "%DESIRED_PYTHON%" == "3.12" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf
 if "%DESIRED_PYTHON%" == "3.11" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf
 if "%DESIRED_PYTHON%" == "3.10" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf
-if "%DESIRED_PYTHON%" == "3.9" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf networkx
+if "%DESIRED_PYTHON%" == "3.9" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf
 
 if errorlevel 1 exit /b 1
 
-if "%PYTORCH_BUILD_VERSION:dev=%" NEQ "%PYTORCH_BUILD_VERSION%" (
-    set "CHANNEL=nightly"
-) else (
-    set "CHANNEL=test"
-)
-
-set "EXTRA_INDEX= "
-if "%CUDA_VERSION%" == "xpu" set "EXTRA_INDEX=--index-url https://download.pytorch.org/whl/%CHANNEL%/xpu"
-
-for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *.whl') do %PYTHON_EXEC% -m pip install "%%i" %EXTRA_INDEX%
+for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *.whl') do %PYTHON_EXEC% -m pip install "%%i"
 if errorlevel 1 exit /b 1
 
 goto smoke_test

.ci/pytorch/windows/internal/xpu_install.bat

@@ -47,9 +47,9 @@ set XPU_EXTRA_INSTALLED=0
 set XPU_EXTRA_UNINSTALL=0
 
 if not [%XPU_VERSION%]==[] if [%XPU_VERSION%]==[2025.0] (
-    set XPU_BUNDLE_URL=https://registrationcenter-download.intel.com/akdlm/IRC_NAS/9d6d6c17-ca2d-4735-9331-99447e4a1280/intel-deep-learning-essentials-2025.0.1.28_offline.exe
+    set XPU_BUNDLE_URL=https://registrationcenter-download.intel.com/akdlm/IRC_NAS/efc86abd-cb77-452e-a03f-a741895b8ece/intel-deep-learning-essentials-2025.0.0.336_offline.exe
     set XPU_BUNDLE_PRODUCT_NAME=intel.oneapi.win.deep-learning-essentials.product
-    set XPU_BUNDLE_VERSION=2025.0.1+20
+    set XPU_BUNDLE_VERSION=2025.0.0+335
     set XPU_BUNDLE_INSTALLED=0
     set XPU_BUNDLE_UNINSTALL=0
     set XPU_EXTRA_URL=NULL

.circleci/scripts/binary_populate_env.sh

@@ -31,9 +31,9 @@ fi
 export DOCKER_IMAGE=${DOCKER_IMAGE:-}
 if [[ -z "$DOCKER_IMAGE" ]]; then
   if [[ "$DESIRED_CUDA" == cpu ]]; then
-    export DOCKER_IMAGE="pytorch/manylinux2_28:cpu"
+    export DOCKER_IMAGE="pytorch/manylinux:cpu"
   else
-    export DOCKER_IMAGE="pytorch/manylinux2_28-builder:${DESIRED_CUDA:2}"
+    export DOCKER_IMAGE="pytorch/manylinux-builder:${DESIRED_CUDA:2}"
   fi
 fi
 
@@ -98,11 +98,11 @@ if [[ "$PACKAGE_TYPE" =~ .*wheel.* && -n "$PYTORCH_BUILD_VERSION" && "$PYTORCH_B
 fi
 
 # Set triton via PYTORCH_EXTRA_INSTALL_REQUIREMENTS for triton xpu package
-if [[ "$PACKAGE_TYPE" =~ .*wheel.* && -n "$PYTORCH_BUILD_VERSION" && "$PYTORCH_BUILD_VERSION" =~ .*xpu.* ]]; then
-    TRITON_REQUIREMENT="pytorch-triton-xpu==${TRITON_VERSION}"
+if [[ "$PACKAGE_TYPE" =~ .*wheel.* && -n "$PYTORCH_BUILD_VERSION" && "$PYTORCH_BUILD_VERSION" =~ .*xpu.* && $(uname) == "Linux" ]]; then
+    TRITON_REQUIREMENT="pytorch-triton-xpu==${TRITON_VERSION}; ${TRITON_CONSTRAINT}"
     if [[ -n "$PYTORCH_BUILD_VERSION" && "$PYTORCH_BUILD_VERSION" =~ .*dev.* ]]; then
         TRITON_SHORTHASH=$(cut -c1-8 $PYTORCH_ROOT/.ci/docker/ci_commit_pins/triton-xpu.txt)
-        TRITON_REQUIREMENT="pytorch-triton-xpu==${TRITON_VERSION}+git${TRITON_SHORTHASH}"
+        TRITON_REQUIREMENT="pytorch-triton-xpu==${TRITON_VERSION}+git${TRITON_SHORTHASH}; ${TRITON_CONSTRAINT}"
     fi
     if [[ -z "${PYTORCH_EXTRA_INSTALL_REQUIREMENTS:-}" ]]; then
         export PYTORCH_EXTRA_INSTALL_REQUIREMENTS="${TRITON_REQUIREMENT}"

.circleci/scripts/binary_windows_arm64_build.sh

@@ -1,22 +0,0 @@
-#!/bin/bash
-set -eux -o pipefail
-
-source "${BINARY_ENV_FILE:-/c/w/env}"
-mkdir -p "$PYTORCH_FINAL_PACKAGE_DIR"
-
-export USE_SCCACHE=1
-export SCCACHE_IGNORE_SERVER_IO_ERROR=1
-
-echo "Free space on filesystem before build:"
-df -h
-
-export NIGHTLIES_PYTORCH_ROOT="$PYTORCH_ROOT"
-
-if [[ "$PACKAGE_TYPE" == 'libtorch' ]]; then
-    pytorch/.ci/pytorch/windows/arm64/build_libtorch.bat
-elif [[ "$PACKAGE_TYPE" == 'wheel' ]]; then
-    pytorch/.ci/pytorch/windows/arm64/build_pytorch.bat
-fi
-
-echo "Free space on filesystem after build:"
-df -h

.circleci/scripts/binary_windows_arm64_test.sh

@@ -1,6 +0,0 @@
-#!/bin/bash
-set -eux -o pipefail
-
-source "${BINARY_ENV_FILE:-/c/w/env}"
-
-pytorch/.ci/pytorch/windows/arm64/smoke_test.bat

.circleci/scripts/binary_windows_build.sh

@@ -13,7 +13,6 @@ export VC_YEAR=2022
 if [[ "$DESIRED_CUDA" == 'xpu' ]]; then
     export USE_SCCACHE=0
     export XPU_VERSION=2025.0
-    export XPU_ENABLE_KINETO=1
 fi
 
 echo "Free space on filesystem before build:"

.clang-tidy

@@ -12,7 +12,6 @@ bugprone-*,
 -bugprone-macro-parentheses,
 -bugprone-lambda-function-name,
 -bugprone-reserved-identifier,
--bugprone-return-const-ref-from-parameter,
 -bugprone-swapped-arguments,
 clang-analyzer-core.*,
 clang-analyzer-cplusplus.*,
@@ -25,7 +24,6 @@ cppcoreguidelines-*,
 -cppcoreguidelines-avoid-non-const-global-variables,
 -cppcoreguidelines-interfaces-global-init,
 -cppcoreguidelines-macro-usage,
--cppcoreguidelines-macro-to-enum,
 -cppcoreguidelines-owning-memory,
 -cppcoreguidelines-pro-bounds-array-to-pointer-decay,
 -cppcoreguidelines-pro-bounds-constant-array-index,
@@ -48,7 +46,6 @@ misc-*,
 -misc-no-recursion,
 -misc-non-private-member-variables-in-classes,
 -misc-unused-using-decls,
--misc-use-internal-linkage,
 modernize-*,
 -modernize-macro-to-enum,
 -modernize-return-braced-init-list,
@@ -58,7 +55,6 @@ modernize-*,
 -modernize-use-trailing-return-type,
 -modernize-use-nodiscard,
 performance-*,
--performance-enum-size,
 readability-container-size-empty,
 readability-delete-null-pointer,
 readability-duplicate-include

.flake8

@@ -38,7 +38,6 @@ per-file-ignores =
     torchgen/api/types/__init__.py: F401,F403
     torchgen/executorch/api/types/__init__.py: F401,F403
     test/dynamo/test_higher_order_ops.py: B950
-    test/dynamo/test_error_messages.py: B950
     torch/testing/_internal/dynamo_test_failures.py: B950
     # TOR901 is only for test, we want to ignore it for everything else.
     # It's not easy to configure this without affecting other per-file-ignores,

.github/actionlint.yaml

@@ -1,7 +1,5 @@
 self-hosted-runner:
   labels:
-    # GitHub hosted runner that actionlint doesn't recognize because actionlint version (1.6.21) is too old
-    - ubuntu-24.04
     # GitHub hosted x86 Linux runners
     - linux.20_04.4x
     - linux.20_04.16x
@@ -12,6 +10,7 @@ self-hosted-runner:
     - linux.9xlarge.ephemeral
     - am2.linux.9xlarge.ephemeral
     - linux.12xlarge
+    - linux.12xlarge.ephemeral
     - linux.24xlarge
     - linux.24xlarge.ephemeral
     - linux.arm64.2xlarge
@@ -43,8 +42,6 @@ self-hosted-runner:
     - windows.8xlarge.nvidia.gpu
     - windows.8xlarge.nvidia.gpu.nonephemeral
     - windows.g5.4xlarge.nvidia.gpu
-    # Windows ARM64 runners
-    - windows-11-arm64
     # Organization-wide AMD hosted runners
     - linux.rocm.gpu
     - linux.rocm.gpu.2

.github/actions/checkout-pytorch/action.yml

@@ -23,20 +23,22 @@ runs:
       id: check_container_runner
       run: echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
 
-    - name: Set up parallel fetch and clean workspace
+    - name: Clean workspace
       shell: bash
       if: ${{ steps.check_container_runner.outputs.IN_CONTAINER_RUNNER == 'false' }}
+      env:
+        NO_SUDO: ${{ inputs.no-sudo }}
       run: |
-        # Use all available CPUs for fetching
-        cd "${GITHUB_WORKSPACE}"
-        git config --global fetch.parallel 0
-        git config --global submodule.fetchJobs 0
-
-        # Clean workspace. The default checkout action should also do this, but
-        # do it here as well just in case
-        if [[ -d .git ]]; then
-          git clean -ffdx
+        retry () {
+          $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
+        }
+        echo "${GITHUB_WORKSPACE}"
+        if [ -z "${NO_SUDO}" ]; then
+          retry sudo rm -rf "${GITHUB_WORKSPACE}"
+        else
+          retry rm -rf "${GITHUB_WORKSPACE}"
         fi
+        mkdir "${GITHUB_WORKSPACE}"
 
     - name: Checkout PyTorch
       uses: actions/checkout@v4

.github/ci_commit_pins/audio.txt

@@ -1 +1 @@
-c670ad81fda266b6598aeeef434583eb98197ae8
+f084f34bbb743fada85f66b0ed8041387565e69c

.github/ci_commit_pins/xla.txt

@@ -1 +1 @@
-r2.7
+b2b890e962f5fb6f481e5da2eb4a43bb990d0f1b

.github/labeler.yml

@@ -98,7 +98,7 @@
 - test/distributed/**
 - torch/testing/_internal/distributed/**
 
-"release notes: distributed (checkpoint)":
+"module: distributed_checkpoint":
 - torch/distributed/checkpoint/**
 - test/distributed/checkpoint/**
 

.github/merge_rules.yaml

@@ -334,7 +334,6 @@
   - XiaobingSuper
   - jgong5
   - mingfeima
-  - EikanWang
   mandatory_checks_name:
   - EasyCLA
   - Lint
@@ -367,7 +366,6 @@
   - jgong5
   - vfdev-5
   - leslie-fang-intel
-  - EikanWang
   mandatory_checks_name:
   - EasyCLA
   - Lint
@@ -381,7 +379,6 @@
   approved_by:
   - leslie-fang-intel
   - jgong5
-  - EikanWang
   mandatory_checks_name:
   - EasyCLA
   - Lint

.github/pytorch-probot.yml

@@ -7,7 +7,6 @@ ciflow_push_tags:
 - ciflow/inductor
 - ciflow/inductor-periodic
 - ciflow/inductor-rocm
-- ciflow/inductor-perf-test-nightly-rocm
 - ciflow/inductor-perf-compare
 - ciflow/inductor-micro-benchmark
 - ciflow/inductor-micro-benchmark-cpu-x86
@@ -17,7 +16,6 @@ ciflow_push_tags:
 - ciflow/nightly
 - ciflow/periodic
 - ciflow/rocm
-- ciflow/rocm-mi300
 - ciflow/s390
 - ciflow/slow
 - ciflow/trunk

.github/requirements-gha-cache.txt

@@ -5,7 +5,7 @@
 #   functorch/docs/requirements.txt
 #   .ci/docker/requirements-ci.txt
 boto3==1.35.42
-jinja2==3.1.6
+jinja2==3.1.5
 lintrunner==0.10.7
 ninja==1.10.0.post1
 nvidia-ml-py==11.525.84

.github/scripts/build_triton_wheel.py

@@ -123,7 +123,7 @@ def main() -> None:
     parser = ArgumentParser("Build Triton binaries")
     parser.add_argument("--release", action="store_true")
     parser.add_argument(
-        "--device", type=str, default="cuda", choices=["cuda", "rocm", "xpu", "aarch64"]
+        "--device", type=str, default="cuda", choices=["cuda", "rocm", "xpu"]
     )
     parser.add_argument("--py-version", type=str)
     parser.add_argument("--commit-hash", type=str)

.github/scripts/filter_test_configs.py

@@ -39,9 +39,9 @@ SUPPORTED_PERIODICAL_MODES: dict[str, Callable[[Optional[str]], bool]] = {
 }
 
 # The link to the published list of disabled jobs
-DISABLED_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/disabled-jobs.json?versionId=n.FT07XR3dLMwOLBwmRNquyYSeGk8Het"
+DISABLED_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/disabled-jobs.json"
 # and unstable jobs
-UNSTABLE_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/unstable-jobs.json?versionId=.Ox7WAXa21I1PVqadHyPfhMRPhl0aCnD"
+UNSTABLE_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/unstable-jobs.json"
 
 # Some constants used to handle disabled and unstable jobs
 JOB_NAME_SEP = "/"

.github/scripts/generate_binary_build_matrix.py

@@ -16,14 +16,16 @@ from typing import Optional
 
 
 # NOTE: Also update the CUDA sources in tools/nightly.py when changing this list
-CUDA_ARCHES = ["11.8", "12.6", "12.8"]
+CUDA_ARCHES = ["11.8", "12.4", "12.6", "12.8"]
 CUDA_ARCHES_FULL_VERSION = {
     "11.8": "11.8.0",
+    "12.4": "12.4.1",
     "12.6": "12.6.3",
     "12.8": "12.8.0",
 }
 CUDA_ARCHES_CUDNN_VERSION = {
     "11.8": "9",
+    "12.4": "9",
     "12.6": "9",
     "12.8": "9",
 }
@@ -39,7 +41,7 @@ CPU_AARCH64_ARCH = ["cpu-aarch64"]
 
 CPU_S390X_ARCH = ["cpu-s390x"]
 
-CUDA_AARCH64_ARCHES = ["12.8-aarch64"]
+CUDA_AARCH64_ARCHES = ["12.6-aarch64", "12.8-aarch64"]
 
 
 PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
@@ -56,6 +58,21 @@ PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
         "nvidia-nccl-cu11==2.21.5; platform_system == 'Linux' and platform_machine == 'x86_64' | "
         "nvidia-nvtx-cu11==11.8.86; platform_system == 'Linux' and platform_machine == 'x86_64'"
     ),
+    "12.4": (
+        "nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
+        "nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'"
+    ),
     "12.6": (
         "nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
         "nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
@@ -89,17 +106,13 @@ PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
         "nvidia-cufile-cu12==1.13.0.11; platform_system == 'Linux' and platform_machine == 'x86_64'"
     ),
     "xpu": (
-        "intel-cmplr-lib-rt==2025.0.4; platform_system == 'Linux' | "
-        "intel-cmplr-lib-ur==2025.0.4; platform_system == 'Linux' | "
-        "intel-cmplr-lic-rt==2025.0.4; platform_system == 'Linux' | "
-        "intel-sycl-rt==2025.0.4; platform_system == 'Linux' | "
-        "intel-cmplr-lib-rt==2025.0.5; platform_system == 'Windows' | "
-        "intel-cmplr-lib-ur==2025.0.5; platform_system == 'Windows' | "
-        "intel-cmplr-lic-rt==2025.0.5; platform_system == 'Windows' | "
-        "intel-sycl-rt==2025.0.5; platform_system == 'Windows' | "
+        "intel-cmplr-lib-rt==2025.0.2 | "
+        "intel-cmplr-lib-ur==2025.0.2 | "
+        "intel-cmplr-lic-rt==2025.0.2 | "
+        "intel-sycl-rt==2025.0.2 | "
         "tcmlib==1.2.0 | "
         "umf==0.9.1 | "
-        "intel-pti==0.10.1"
+        "intel-pti==0.10.0"
     ),
 }
 
@@ -233,8 +246,14 @@ def generate_libtorch_matrix(
         if os == "linux":
             arches += CUDA_ARCHES
             arches += ROCM_ARCHES
+            # skip CUDA 12.8 builds for libtorch
+            if "12.8" in arches:
+                arches.remove("12.8")
         elif os == "windows":
             arches += CUDA_ARCHES
+            # skip CUDA 12.8 builds on Windows
+            if "12.8" in arches:
+                arches.remove("12.8")
     if libtorch_variants is None:
         libtorch_variants = [
             "shared-with-deps",
@@ -262,15 +281,11 @@ def generate_libtorch_matrix(
                         gpu_arch_type, gpu_arch_version
                     ),
                     "libtorch_variant": libtorch_variant,
-                    "libtorch_config": abi_version
-                    if os in ("windows", "windows-arm64")
-                    else "",
-                    "devtoolset": abi_version
-                    if os not in ("windows", "windows-arm64")
-                    else "",
+                    "libtorch_config": abi_version if os == "windows" else "",
+                    "devtoolset": abi_version if os != "windows" else "",
                     "container_image": (
                         LIBTORCH_CONTAINER_IMAGES[(arch_version, abi_version)]
-                        if os not in ("windows", "windows-arm64")
+                        if os != "windows"
                         else ""
                     ),
                     "package_type": "libtorch",
@@ -303,6 +318,9 @@ def generate_wheels_matrix(
             arches += CPU_CXX11_ABI_ARCH + CUDA_ARCHES + ROCM_ARCHES + XPU_ARCHES
         elif os == "windows":
             arches += CUDA_ARCHES + XPU_ARCHES
+            # skip CUDA 12.8 builds on Windows until available
+            if "12.8" in arches:
+                arches.remove("12.8")
         elif os == "linux-aarch64":
             # Separate new if as the CPU type is different and
             # uses different build/test scripts
@@ -331,7 +349,7 @@ def generate_wheels_matrix(
                 continue
 
             if use_split_build and (
-                arch_version not in ["12.6", "12.8", "11.8", "cpu"] or os != "linux"
+                arch_version not in ["12.6", "12.4", "11.8", "cpu"] or os != "linux"
             ):
                 raise RuntimeError(
                     "Split build is only supported on linux with cuda 12*, 11.8, and cpu.\n"
@@ -342,27 +360,26 @@ def generate_wheels_matrix(
             # cuda linux wheels require PYTORCH_EXTRA_INSTALL_REQUIREMENTS to install
 
             if (
-                arch_version in ["12.8", "12.6", "11.8"]
+                arch_version in ["12.8", "12.6", "12.4", "11.8"]
                 and os == "linux"
                 or arch_version in CUDA_AARCH64_ARCHES
             ):
-                desired_cuda = translate_desired_cuda(gpu_arch_type, gpu_arch_version)
                 ret.append(
                     {
                         "python_version": python_version,
                         "gpu_arch_type": gpu_arch_type,
                         "gpu_arch_version": gpu_arch_version,
-                        "desired_cuda": desired_cuda,
+                        "desired_cuda": translate_desired_cuda(
+                            gpu_arch_type, gpu_arch_version
+                        ),
                         "use_split_build": "True" if use_split_build else "False",
                         "devtoolset": "cxx11-abi",
                         "container_image": WHEEL_CONTAINER_IMAGES[arch_version],
                         "package_type": package_type,
                         "pytorch_extra_install_requirements": (
-                            PYTORCH_EXTRA_INSTALL_REQUIREMENTS[
-                                f"{desired_cuda[2:4]}.{desired_cuda[4:]}"  # for cuda-aarch64: cu126 -> 12.6
-                            ]
-                            if os == "linux-aarch64"
-                            else PYTORCH_EXTRA_INSTALL_REQUIREMENTS[arch_version]
+                            PYTORCH_EXTRA_INSTALL_REQUIREMENTS[arch_version]
+                            if os != "linux-aarch64"
+                            else ""
                         ),
                         "build_name": (
                             f"{package_type}-py{python_version}-{gpu_arch_type}"
@@ -372,8 +389,8 @@ def generate_wheels_matrix(
                         ),  # include special case for aarch64 build, remove the -aarch64 postfix
                     }
                 )
-                # Special build building to use on Colab. Python 3.11 for 12.6 CUDA
-                if python_version == "3.11" and arch_version == "12.6":
+                # Special build building to use on Colab. Python 3.11 for 12.4 CUDA
+                if python_version == "3.11" and arch_version == "12.4":
                     ret.append(
                         {
                             "python_version": python_version,
@@ -416,7 +433,7 @@ def generate_wheels_matrix(
                         "pytorch_extra_install_requirements": (
                             PYTORCH_EXTRA_INSTALL_REQUIREMENTS["xpu"]
                             if gpu_arch_type == "xpu"
-                            else PYTORCH_EXTRA_INSTALL_REQUIREMENTS["12.6"]
+                            else PYTORCH_EXTRA_INSTALL_REQUIREMENTS["12.4"]
                             if os != "linux"
                             else ""
                         ),
@@ -428,4 +445,5 @@ def generate_wheels_matrix(
 
 validate_nccl_dep_consistency("12.8")
 validate_nccl_dep_consistency("12.6")
+validate_nccl_dep_consistency("12.4")
 validate_nccl_dep_consistency("11.8")

.github/scripts/generate_ci_workflows.py

@@ -96,7 +96,6 @@ class BinaryBuildWorkflow:
 class OperatingSystem:
     LINUX = "linux"
     WINDOWS = "windows"
-    WINDOWS_ARM64 = "windows-arm64"
     MACOS = "macos"
     MACOS_ARM64 = "macos-arm64"
     LINUX_AARCH64 = "linux-aarch64"
@@ -152,7 +151,7 @@ LINUX_BINARY_SMOKE_WORKFLOWS = [
         package_type="manywheel",
         build_configs=generate_binary_build_matrix.generate_wheels_matrix(
             OperatingSystem.LINUX,
-            arches=["11.8", "12.6", "12.8"],
+            arches=["11.8", "12.4", "12.6", "12.8"],
             python_versions=["3.9"],
         ),
         branches="main",
@@ -262,52 +261,6 @@ WINDOWS_BINARY_SMOKE_WORKFLOWS = [
     ),
 ]
 
-WINDOWS_ARM64_BINARY_BUILD_WORKFLOWS = [
-    BinaryBuildWorkflow(
-        os=OperatingSystem.WINDOWS_ARM64,
-        package_type="wheel",
-        build_configs=generate_binary_build_matrix.generate_wheels_matrix(
-            OperatingSystem.WINDOWS_ARM64,
-            arches=["cpu"],
-            python_versions=["3.12"],
-        ),
-        ciflow_config=CIFlowConfig(
-            labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_WHEEL},
-            isolated_workflow=True,
-        ),
-    ),
-    BinaryBuildWorkflow(
-        os=OperatingSystem.WINDOWS_ARM64,
-        package_type="libtorch",
-        abi_version=generate_binary_build_matrix.RELEASE,
-        build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
-            OperatingSystem.WINDOWS_ARM64,
-            generate_binary_build_matrix.RELEASE,
-            arches=["cpu"],
-            libtorch_variants=["shared-with-deps"],
-        ),
-        ciflow_config=CIFlowConfig(
-            labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
-            isolated_workflow=True,
-        ),
-    ),
-    BinaryBuildWorkflow(
-        os=OperatingSystem.WINDOWS_ARM64,
-        package_type="libtorch",
-        abi_version=generate_binary_build_matrix.DEBUG,
-        build_configs=generate_binary_build_matrix.generate_libtorch_matrix(
-            OperatingSystem.WINDOWS_ARM64,
-            generate_binary_build_matrix.DEBUG,
-            arches=["cpu"],
-            libtorch_variants=["shared-with-deps"],
-        ),
-        ciflow_config=CIFlowConfig(
-            labels={LABEL_CIFLOW_BINARIES, LABEL_CIFLOW_BINARIES_LIBTORCH},
-            isolated_workflow=True,
-        ),
-    ),
-]
-
 MACOS_BINARY_BUILD_WORKFLOWS = [
     BinaryBuildWorkflow(
         os=OperatingSystem.MACOS_ARM64,
@@ -402,10 +355,6 @@ def main() -> None:
             jinja_env.get_template("windows_binary_build_workflow.yml.j2"),
             WINDOWS_BINARY_SMOKE_WORKFLOWS,
         ),
-        (
-            jinja_env.get_template("windows_arm64_binary_build_workflow.yml.j2"),
-            WINDOWS_ARM64_BINARY_BUILD_WORKFLOWS,
-        ),
         (
             jinja_env.get_template("macos_binary_build_workflow.yml.j2"),
             MACOS_BINARY_BUILD_WORKFLOWS,

.github/scripts/github_utils.py

@@ -57,10 +57,10 @@ def gh_fetch_url_and_headers(
             print(
                 f"""{url}
                 Rate limit exceeded:
-                Used: {err.headers["X-RateLimit-Used"]}
-                Limit: {err.headers["X-RateLimit-Limit"]}
-                Remaining: {err.headers["X-RateLimit-Remaining"]}
-                Resets at: {err.headers["x-RateLimit-Reset"]}"""
+                Used: {err.headers['X-RateLimit-Used']}
+                Limit: {err.headers['X-RateLimit-Limit']}
+                Remaining: {err.headers['X-RateLimit-Remaining']}
+                Resets at: {err.headers['x-RateLimit-Reset']}"""
             )
         else:
             print(f"Error fetching {url} {err}")

.github/scripts/label_utils.py

@@ -63,9 +63,9 @@ def gh_get_labels(org: str, repo: str) -> list[str]:
     update_labels(labels, info)
 
     last_page = get_last_page_num_from_header(header)
-    assert last_page > 0, (
-        "Error reading header info to determine total number of pages of labels"
-    )
+    assert (
+        last_page > 0
+    ), "Error reading header info to determine total number of pages of labels"
     for page_number in range(2, last_page + 1):  # skip page 1
         _, info = request_for_labels(prefix + f"&page={page_number}")
         update_labels(labels, info)

.github/scripts/pytest_caching_utils.py

@@ -33,7 +33,7 @@ class PRIdentifier(str):
     __slots__ = ()
 
     def __new__(cls, value: str) -> "PRIdentifier":
-        md5 = hashlib.md5(value.encode("utf-8"), usedforsecurity=False).hexdigest()
+        md5 = hashlib.md5(value.encode("utf-8")).hexdigest()
         return super().__new__(cls, md5)
 
 

.github/scripts/trymerge.py

@@ -485,7 +485,7 @@ def get_check_run_name_prefix(workflow_run: Any) -> str:
     if workflow_run is None:
         return ""
     else:
-        return f"{workflow_run['workflow']['name']} / "
+        return f'{workflow_run["workflow"]["name"]} / '
 
 
 def is_passing_status(status: Optional[str]) -> bool:
@@ -545,7 +545,7 @@ def add_workflow_conclusions(
                     if not isinstance(checkrun_node, dict):
                         warn(f"Expected dictionary, but got {type(checkrun_node)}")
                         continue
-                    checkrun_name = f"{get_check_run_name_prefix(workflow_run)}{checkrun_node['name']}"
+                    checkrun_name = f'{get_check_run_name_prefix(workflow_run)}{checkrun_node["name"]}'
                     existing_checkrun = workflow_obj.jobs.get(checkrun_name)
                     if existing_checkrun is None or not is_passing_status(
                         existing_checkrun.status
@@ -1224,17 +1224,9 @@ class GitHubPR:
         if not self.is_ghstack_pr():
             msg = self.gen_commit_message()
             pr_branch_name = f"__pull-request-{self.pr_num}__init__"
-            repo.fetch(self.last_commit()["oid"], pr_branch_name)
+            repo.fetch(f"pull/{self.pr_num}/head", pr_branch_name)
             repo._run_git("merge", "--squash", pr_branch_name)
             repo._run_git("commit", f'--author="{self.get_author()}"', "-m", msg)
-
-            # Did the PR change since we started the merge?
-            pulled_sha = repo.show_ref(pr_branch_name)
-            latest_pr_status = GitHubPR(self.org, self.project, self.pr_num)
-            if pulled_sha != latest_pr_status.last_commit()["oid"]:
-                raise RuntimeError(
-                    "PR has been updated since CI checks last passed. Please rerun the merge command."
-                )
             return []
         else:
             return self.merge_ghstack_into(
@@ -1515,36 +1507,6 @@ def checks_to_markdown_bullets(
     ]
 
 
-def post_starting_merge_comment(
-    repo: GitRepo,
-    pr: GitHubPR,
-    explainer: TryMergeExplainer,
-    dry_run: bool,
-    ignore_current_checks_info: Optional[
-        list[tuple[str, Optional[str], Optional[int]]]
-    ] = None,
-) -> None:
-    """Post the initial merge starting message on the PR. Also post a short
-    message on all PRs in the stack."""
-    gh_post_pr_comment(
-        pr.org,
-        pr.project,
-        pr.pr_num,
-        explainer.get_merge_message(ignore_current_checks_info),
-        dry_run=dry_run,
-    )
-    if pr.is_ghstack_pr():
-        for additional_prs, _ in get_ghstack_prs(repo, pr):
-            if additional_prs.pr_num != pr.pr_num:
-                gh_post_pr_comment(
-                    additional_prs.org,
-                    additional_prs.project,
-                    additional_prs.pr_num,
-                    f"Starting merge as part of PR stack under #{pr.pr_num}",
-                    dry_run=dry_run,
-                )
-
-
 def manually_close_merged_pr(
     pr: GitHubPR,
     additional_merged_prs: list[GitHubPR],
@@ -2168,7 +2130,13 @@ def merge(
     check_for_sev(pr.org, pr.project, skip_mandatory_checks)
 
     if skip_mandatory_checks:
-        post_starting_merge_comment(repo, pr, explainer, dry_run)
+        gh_post_pr_comment(
+            pr.org,
+            pr.project,
+            pr.pr_num,
+            explainer.get_merge_message(),
+            dry_run=dry_run,
+        )
         return pr.merge_into(
             repo,
             dry_run=dry_run,
@@ -2191,12 +2159,12 @@ def merge(
         )
         ignore_current_checks_info = failing
 
-    post_starting_merge_comment(
-        repo,
-        pr,
-        explainer,
-        dry_run,
-        ignore_current_checks_info=ignore_current_checks_info,
+    gh_post_pr_comment(
+        pr.org,
+        pr.project,
+        pr.pr_num,
+        explainer.get_merge_message(ignore_current_checks_info),
+        dry_run=dry_run,
     )
 
     start_time = time.time()

.github/scripts/trymerge_explainer.py

@@ -79,7 +79,7 @@ class TryMergeExplainer:
             (
                 "<details><summary>Advanced Debugging</summary>",
                 "Check the merge workflow status ",
-                f'<a href="{os.getenv("GH_RUN_URL")}">here</a>',
+                f"<a href=\"{os.getenv('GH_RUN_URL')}\">here</a>",
                 "</details>",
             )
         )

.github/scripts/windows/build_triton.bat

@@ -1,17 +0,0 @@
-@echo on
-
-set PYTHON_PREFIX=%PY_VERS:.=%
-set PYTHON_PREFIX=py%PYTHON_PREFIX:;=;py%
-call .ci/pytorch/win-test-helpers/installation-helpers/activate_miniconda3.bat
-:: Create a new conda environment
-if "%PY_VERS%" == "3.13t" (
-    call conda create -n %PYTHON_PREFIX% -y -c=conda-forge python-freethreading python=3.13
-) else (
-    call conda create -n %PYTHON_PREFIX% -y -c=conda-forge python=%PY_VERS%
-)
-call conda run -n %PYTHON_PREFIX% pip install wheel pybind11 certifi cython cmake setuptools==72.1.0 ninja
-
-dir "%VC_INSTALL_PATH%"
-
-call "%VC_INSTALL_PATH%\VC\Auxiliary\Build\vcvarsall.bat" x64
-call conda run -n %PYTHON_PREFIX% python .github/scripts/build_triton_wheel.py --device=%BUILD_DEVICE% %RELEASE%

.github/scripts/windows/install_vs2022.ps1

@@ -1,35 +0,0 @@
-#Requires -RunAsAdministrator
-
-# Enable long paths on Windows
-Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
-
-$VC_VERSION_major = [int] ${env:VC_VERSION}.split(".")[0]
-$VC_DOWNLOAD_LINK = "https://aka.ms/vs/$VC_VERSION_major/release/vs_BuildTools.exe"
-$VC_INSTALL_ARGS = @("--nocache","--quiet","--norestart","--wait", "--add Microsoft.VisualStudio.Workload.VCTools",
-                                                    "--add Microsoft.Component.MSBuild",
-                                                    "--add Microsoft.VisualStudio.Component.Roslyn.Compiler",
-                                                    "--add Microsoft.VisualStudio.Component.TextTemplating",
-                                                    "--add Microsoft.VisualStudio.Component.VC.CoreBuildTools",
-                                                    "--add Microsoft.VisualStudio.Component.VC.CoreIde",
-                                                    "--add Microsoft.VisualStudio.Component.VC.Redist.14.Latest",
-                                                    "--add Microsoft.VisualStudio.ComponentGroup.NativeDesktop.Core",
-                                                    "--add Microsoft.VisualStudio.Component.VC.Tools.x86.x64",
-                                                    "--add Microsoft.VisualStudio.Component.Windows11SDK.22621")
-
-
-echo "Downloading Visual Studio installer from $VC_DOWNLOAD_LINK."
-curl.exe --retry 3 -kL $VC_DOWNLOAD_LINK --output vs_installer.exe
-if ($LASTEXITCODE -ne 0) {
-    echo "Download of the VS ${env:VC_YEAR} Version ${env:VC_VERSION} installer failed"
-    exit 1
-}
-$InstallationPath = ${env:VC_INSTALL_PATH}
-$VC_INSTALL_ARGS = "--installPath `"$InstallationPath`"" + " " + $VC_INSTALL_ARGS
-echo "Installing Visual Studio version ${env:VC_VERSION} in $InstallationPath."
-$process = Start-Process "${PWD}\vs_installer.exe" -ArgumentList $VC_INSTALL_ARGS -NoNewWindow -Wait -PassThru
-Remove-Item -Path vs_installer.exe -Force
-$exitCode = $process.ExitCode
-if (($exitCode -ne 0) -and ($exitCode -ne 3010)) {
-    echo "VS ${env:VC_YEAR} installer exited with code $exitCode, which should be one of [0, 3010]."
-    exit 1
-}

.github/templates/common.yml.j2

@@ -4,7 +4,6 @@
 {%- set download_artifact_action = "actions/download-artifact@v4.1.7" -%}
 
 {%- set timeout_minutes = 240 -%}
-{%- set timeout_minutes_windows_binary = 300 -%}
 
 {%- macro concurrency(build_environment) -%}
 concurrency:
@@ -32,7 +31,7 @@ concurrency:
 {%- macro setup_ec2_windows() -%}
       !{{ display_ec2_information() }}
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}

.github/templates/linux_binary_build_workflow.yml.j2

@@ -53,7 +53,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -111,10 +111,7 @@ jobs:
       ALPINE_IMAGE: "docker.io/s390x/alpine"
       {%- elif config["gpu_arch_type"] == "rocm" %}
       runs_on: linux.rocm.gpu
-      {%- elif config["gpu_arch_type"] == "cuda" and config["gpu_arch_version"] == "12.8" %}
-      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
-      runs_on: linux.g4dn.4xlarge.nvidia.gpu  # 12.8 build needs sm_70+ runner
-      {%- elif config["gpu_arch_type"] == "cuda" and config["gpu_arch_version"] != "12.8"%}
+      {%- elif config["gpu_arch_type"] == "cuda" %}
       runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
       runs_on: linux.4xlarge.nvidia.gpu
       {%- else %}
@@ -147,9 +144,9 @@ jobs:
         with:
           name: !{{ config["build_name"] }}
           path: "${{ runner.temp }}/artifacts/"
-      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
       - name: Pull Docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: !{{ config["container_image"] }}
       - name: Test Pytorch binary
@@ -168,12 +165,12 @@ jobs:
         with:
           name: !{{ config["build_name"] }}
           path: "${{ runner.temp }}/artifacts/"
-      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
       - name: ROCm set GPU_FLAG
         run: |
           echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd --device=/dev/dri --group-add video --group-add daemon" >> "${GITHUB_ENV}"
       - name: Pull Docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: !{{ config["container_image"] }}
       - name: Test Pytorch binary

.github/templates/macos_binary_build_workflow.yml.j2

@@ -76,7 +76,7 @@ jobs:
           elif [ -d "/Applications/Xcode_13.3.1.app" ]; then
             echo "DEVELOPER_DIR=/Applications/Xcode_13.3.1.app/Contents/Developer" >> "${GITHUB_ENV}"
           fi
-      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
       - name: Populate binary env
         run: |
           # shellcheck disable=SC1091

.github/templates/windows_arm64_binary_build_workflow.yml.j2

@@ -1,197 +0,0 @@
-{% import 'common.yml.j2' as common %}
-{% import 'upload.yml.j2' as upload %}
-
-{%- block name -%}
-# Template is at:    .github/templates/windows_arm64_binary_build_workflow.yml.j2
-# Generation script: .github/scripts/generate_ci_workflows.py
-name: !{{ build_environment }}
-{%- endblock %}
-
-{%- macro set_runner_specific_vars() -%}
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: cmd
-        run: |
-          echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
-          echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
-          echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
-{%- endmacro %}
-
-on:
-  push:
-    branches:
-      - !{{ branches }}
-    {%- if branches == "nightly" %}
-    tags:
-      # NOTE: Binary build pipelines should only get triggered on release candidate builds
-      # Release candidate tags look like: v1.11.0-rc1
-      - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
-    {%- endif %}
-{%- for label in ciflow_config.labels | sort %}
-    {%- if loop.first and branches != "nightly" %}
-    tags:
-    {%- endif %}
-      - '!{{ label }}/*'
-{%- endfor %}
-  workflow_dispatch:
-
-env:
-  BUILD_ENVIRONMENT: !{{ build_environment }}
-  GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-  PR_NUMBER: ${{ github.event.pull_request.number }}
-  SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
-  SKIP_ALL_TESTS: 1
-  PYTORCH_ROOT: /pytorch
-  DOWNLOADS_DIR: c:\temp\downloads
-  DEPENDENCIES_DIR: c:\temp\dependencies
-  ENABLE_APL: 1
-  ENABLE_OPENBLAS: 0
-  MSVC_VERSION : 14.42
-  AWS_DEFAULT_REGION: us-east-1
-
-jobs:
-  get-label-type:
-    if: github.repository_owner == 'pytorch'
-    name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
-    with:
-      triggering_actor: ${{ github.triggering_actor }}
-      issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
-      curr_branch: ${{ github.head_ref || github.ref_name }}
-      curr_ref_type: ${{ github.ref_type }}
-
-{%- for config in build_configs %}
-  !{{ config["build_name"] }}-build:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs: get-label-type
-    runs-on: "windows-11-arm64"
-    timeout-minutes: !{{ common.timeout_minutes }}
-    !{{ upload.binary_env(config, True) }}
-    {%- if config.pytorch_extra_install_requirements is defined and config.pytorch_extra_install_requirements|d('')|length > 0  %}
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: !{{ config.pytorch_extra_install_requirements }}
-    {%- endif %}
-    steps:
-      !{{ set_runner_specific_vars() }}
-      - name: Bootstrap folders
-        shell: cmd
-        run: |
-          mkdir "%NIGHTLIES_PYTORCH_ROOT%"
-          mkdir "%PYTORCH_FINAL_PACKAGE_DIR%"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-      - name: Bootstrap Build Tools
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
-      - name: Bootstrap Git
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
-      - name: Remove Pytorch folder
-        shell: cmd
-        run: |
-          rmdir /s /q "pytorch"
-      - name: Git checkout PyTorch - recursive
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-          submodules: recursive
-      - name: Bootstrap Python
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
-      - name: Bootstrap APL
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
-      - name: Bootstrap Rust
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
-      - name: Bootstrap sccache
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_sccache.bat"
-      - name: Bootstrap Libuv
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_libuv.bat"
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_populate_env.sh"
-      - name: Build PyTorch binary
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_windows_arm64_build.sh"
-      - uses: !{{ common.upload_artifact_action }}
-        if: always()
-        with:
-          name: !{{ config["build_name"] }}
-          retention-days: 14
-          if-no-files-found: error
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-  !{{ config["build_name"] }}-test:  # Testing
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs:
-      - !{{ config["build_name"] }}-build
-      - get-label-type
-    runs-on: "windows-11-arm64"
-    timeout-minutes: !{{ common.timeout_minutes }}
-    !{{ upload.binary_env(config, True) }}
-    steps:
-      !{{ set_runner_specific_vars() }}
-      - uses: !{{ common.download_artifact_action }}
-        name: Download Build Artifacts
-        with:
-          name: !{{ config["build_name"] }}
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-      - name: Bootstrap Git
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
-      - name: Remove Pytorch folder
-        shell: cmd
-        run: |
-          rmdir /s /q "pytorch"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-          submodules: recursive
-      - name: Bootstrap APL
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
-      - name: Bootstrap Python
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
-      - name: Bootstrap Build Tools
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
-      - name: Bootstrap Rust
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_populate_env.sh"
-      - name: Test PyTorch binary
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_windows_arm64_test.sh"
-  {%- if branches == "nightly" %}
-  !{{ upload.upload_binaries(config, True) }}
-  {%- endif %}
-{%- endfor %}

.github/templates/windows_binary_build_workflow.yml.j2

@@ -55,7 +55,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -71,7 +71,7 @@ jobs:
     {%- else %}
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
     {%- endif %}
-    timeout-minutes: !{{ common.timeout_minutes_windows_binary }}
+    timeout-minutes: !{{ common.timeout_minutes }}
     !{{ upload.binary_env(config, True) }}
     {%- if config.pytorch_extra_install_requirements is defined and config.pytorch_extra_install_requirements|d('')|length > 0  %}
       PYTORCH_EXTRA_INSTALL_REQUIREMENTS: !{{ config.pytorch_extra_install_requirements }}
@@ -79,7 +79,7 @@ jobs:
     steps:
       !{{ common.setup_ec2_windows() }}
       !{{ set_runner_specific_vars() }}
-      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
       - name: Populate binary env
         shell: bash
         run: |
@@ -107,14 +107,10 @@ jobs:
 {%- else %}
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.g4dn.xlarge.nonephemeral"
 {%- endif %}
-{%- else %}
-{%- if branches == "nightly" %}
-    runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
 {%- else %}
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
 {%- endif %}
-{%- endif %}
-    timeout-minutes: !{{ common.timeout_minutes_windows_binary }}
+    timeout-minutes: !{{ common.timeout_minutes }}
     !{{ upload.binary_env(config, True) }}
     steps:
       !{{ common.setup_ec2_windows() }}
@@ -124,7 +120,7 @@ jobs:
         with:
           name: !{{ config["build_name"] }}
           path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
       - name: Populate binary env
         shell: bash
         run: |

.github/workflows/_bazel-build-test.yml

@@ -47,7 +47,7 @@ jobs:
       reenabled-issues: ${{ steps.filter.outputs.reenabled-issues }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           fetch-depth: 1
           submodules: false
@@ -69,25 +69,25 @@ jobs:
     runs-on: ${{ matrix.runner }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
           docker-image-name: ${{ inputs.docker-image-name }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
@@ -97,7 +97,7 @@ jobs:
         run: echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
 
       - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
-        uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
         if: ${{ inputs.cuda-version != 'cpu' && steps.check_container_runner.outputs.IN_CONTAINER_RUNNER == 'false' }}
 
       - name: Output disk space left
@@ -209,5 +209,5 @@ jobs:
           file-suffix: bazel-${{ github.job }}_${{ steps.get-job-id.outputs.job-id }}
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
         if: always()

.github/workflows/_binary-build-linux.yml

@@ -18,7 +18,7 @@ on:
         description: prefix for runner label
       runs_on:
         required: false
-        default: linux.12xlarge.memory.ephemeral
+        default: linux.12xlarge.ephemeral
         type: string
         description: Hardware to run this "build" job on, linux.12xlarge or linux.arm64.2xlarge.
       timeout-minutes:
@@ -150,13 +150,13 @@ jobs:
 
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
         if: inputs.build_environment != 'linux-s390x-binary-manywheel'
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.github-token }}
 
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' || inputs.build_environment == 'linux-s390x-binary-manywheel' }}
 
@@ -186,6 +186,7 @@ jobs:
       - name: Checkout PyTorch to pytorch dir
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -210,7 +211,7 @@ jobs:
 
       - name: Pull Docker image
         if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' && inputs.build_environment != 'linux-s390x-binary-manywheel' }}
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: ${{ inputs.DOCKER_IMAGE }}
 
@@ -266,7 +267,7 @@ jobs:
 
       - name: Teardown Linux
         if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
 
       - name: Chown workspace
         if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'

.github/workflows/_binary-test-linux.yml

@@ -133,14 +133,14 @@ jobs:
 
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
         if: inputs.build_environment != 'linux-s390x-binary-manywheel'
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.github-token }}
 
         # Setup the environment
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' || inputs.build_environment == 'linux-s390x-binary-manywheel' }}
 
@@ -163,6 +163,7 @@ jobs:
       - name: Checkout PyTorch to pytorch dir
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           show-progress: false
           path: pytorch
@@ -193,12 +194,12 @@ jobs:
           path: "${{ runner.temp }}/artifacts/"
 
       - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
-        uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
         if: ${{ inputs.GPU_ARCH_TYPE == 'cuda' && steps.filter.outputs.is-test-matrix-empty == 'False' }}
 
       - name: Pull Docker image
         if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' && inputs.build_environment != 'linux-s390x-binary-manywheel' }}
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: ${{ inputs.DOCKER_IMAGE }}
 
@@ -208,7 +209,7 @@ jobs:
 
       - name: Teardown Linux
         if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
 
       - name: Chown workspace
         if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'

.github/workflows/_binary-upload.yml

@@ -66,6 +66,7 @@ on:
 jobs:
   upload:
     runs-on: ubuntu-22.04
+    environment: ${{ (github.event_name == 'push' && (github.event.ref == 'refs/heads/nightly' || startsWith(github.event.ref, 'refs/tags/v'))) && 'conda-aws-upload' || '' }}
     container:
       image: continuumio/miniconda3:4.12.0
     env:
@@ -90,7 +91,7 @@ jobs:
       USE_SPLIT_BUILD: ${{ inputs.use_split_build }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           no-sudo: true
 

.github/workflows/_docs.yml

@@ -84,7 +84,7 @@ jobs:
     name: build-docs-${{ matrix.docs_type }}-${{ inputs.push }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
           instructions: |
@@ -95,7 +95,7 @@ jobs:
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
@@ -110,12 +110,12 @@ jobs:
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
           docker-image-name: ${{ inputs.docker-image }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
@@ -222,5 +222,5 @@ jobs:
           s3-prefix: pytorch/pytorch/${{ github.event.pull_request.number }}/functorchdocs
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
         if: always()

.github/workflows/_linux-build.yml

@@ -69,11 +69,13 @@ on:
         required: false
         type: string
         default: ""
-      max-jobs:
+      use_split_build:
         description: |
-          Overwrite the number of jobs to use for the build
+          [Experimental] Build a libtorch only wheel and build pytorch such that
+          are built from the libtorch wheel.
         required: false
-        type: string
+        type: boolean
+        default: false
 
     secrets:
       HUGGING_FACE_HUB_TOKEN:
@@ -106,7 +108,7 @@ jobs:
       test-matrix: ${{ steps.filter.outputs.test-matrix }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         if: inputs.build-environment != 'linux-s390x-binary-manywheel'
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -116,7 +118,7 @@ jobs:
       # checkout because when we run this action we don't *have* a local
       # checkout. In other cases you should prefer a local checkout.
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           no-sudo: true
 
@@ -134,7 +136,7 @@ jobs:
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         if: inputs.build-environment != 'linux-s390x-binary-manywheel'
         with:
           docker-image-name: ${{ inputs.docker-image-name }}
@@ -150,7 +152,7 @@ jobs:
           echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         if: inputs.build-environment != 'linux-s390x-binary-manywheel'
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
@@ -208,7 +210,7 @@ jobs:
           OUR_GITHUB_JOB_ID: ${{ steps.get-job-id.outputs.job-id }}
           HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
           SCRIBE_GRAPHQL_ACCESS_TOKEN: ${{ secrets.SCRIBE_GRAPHQL_ACCESS_TOKEN }}
-          MAX_JOBS_OVERRIDE: ${{ inputs.max-jobs }}
+          USE_SPLIT_BUILD: ${{ inputs.use_split_build }}
         run: |
           START_TIME=$(date +%s)
           if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
@@ -228,12 +230,6 @@ jobs:
             DOCKER_SHELL_CMD=
           fi
 
-          if [[ ${MAX_JOBS_OVERRIDE} == "" ]]; then
-            MAX_JOBS="$(nproc --ignore=2)"
-          else
-            MAX_JOBS="${MAX_JOBS_OVERRIDE}"
-          fi
-
           # Leaving 1GB for the runner and other things
           TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
           # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
@@ -245,8 +241,7 @@ jobs:
           # shellcheck disable=SC2086
           container_name=$(docker run \
             -e BUILD_ENVIRONMENT \
-            -e MAX_JOBS=${MAX_JOBS} \
-            -e MAX_JOBS_OVERRIDE \
+            -e MAX_JOBS="$(nproc --ignore=2)" \
             -e AWS_DEFAULT_REGION \
             -e PR_NUMBER \
             -e SHA1 \
@@ -287,7 +282,7 @@ jobs:
 
       - name: Store PyTorch Build Artifacts on S3
         uses: seemethere/upload-artifact-s3@v5
-        if: inputs.build-generates-artifacts && steps.build.outcome != 'skipped' && inputs.build-environment != 'linux-s390x-binary-manywheel'
+        if: inputs.build-generates-artifacts && steps.build.outcome != 'skipped' && !inputs.use_split_build && inputs.build-environment != 'linux-s390x-binary-manywheel'
         with:
           name: ${{ inputs.build-environment }}
           retention-days: 14
@@ -295,15 +290,34 @@ jobs:
           path: artifacts.zip
           s3-bucket: ${{ inputs.s3-bucket }}
 
+      - name: Store PyTorch Build Artifacts on S3 for split build
+        uses: seemethere/upload-artifact-s3@v5
+        if: inputs.build-generates-artifacts && steps.build.outcome != 'skipped' && inputs.use_split_build && inputs.build-environment != 'linux-s390x-binary-manywheel'
+        with:
+          name: ${{ inputs.build-environment }}-experimental-split-build
+          retention-days: 14
+          if-no-files-found: error
+          path: artifacts.zip
+          s3-bucket: ${{ inputs.s3-bucket }}
+
       - name: Store PyTorch Build Artifacts for s390x
         uses: actions/upload-artifact@v4
-        if: inputs.build-generates-artifacts && steps.build.outcome != 'skipped' && inputs.build-environment == 'linux-s390x-binary-manywheel'
+        if: inputs.build-generates-artifacts && steps.build.outcome != 'skipped' && !inputs.use_split_build && inputs.build-environment == 'linux-s390x-binary-manywheel'
         with:
           name: ${{ inputs.build-environment }}
           retention-days: 14
           if-no-files-found: error
           path: artifacts.zip
 
+      - name: Store PyTorch Build Artifacts for s390x for split build
+        uses: actions/upload-artifact@v4
+        if: inputs.build-generates-artifacts && steps.build.outcome != 'skipped' && inputs.use_split_build && inputs.build-environment == 'linux-s390x-binary-manywheel'
+        with:
+          name: ${{ inputs.build-environment }}-experimental-split-build
+          retention-days: 14
+          if-no-files-found: error
+          path: artifacts.zip
+
       - name: Upload sccache stats
         if: steps.build.outcome != 'skipped' && inputs.build-environment != 'linux-s390x-binary-manywheel'
         uses: ./.github/actions/upload-sccache-stats
@@ -312,7 +326,7 @@ jobs:
           build-time: ${{ steps.build.outputs.build_time }}
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
         if: always() && inputs.build-environment != 'linux-s390x-binary-manywheel'
 
       - name: Cleanup docker

.github/workflows/_linux-test.yml

@@ -80,7 +80,7 @@ jobs:
     timeout-minutes: ${{ matrix.mem_leak_check == 'mem_leak_check' && 600 || inputs.timeout-minutes }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         if: ${{ !contains(matrix.runner, 'gcp.a100') && inputs.build-environment != 'linux-s390x-binary-manywheel' }}
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -89,7 +89,7 @@ jobs:
               docker exec -it $(docker container ps --format '{{.ID}}') bash
 
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           no-sudo: true
 
@@ -107,7 +107,7 @@ jobs:
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         if: inputs.build-environment != 'linux-s390x-binary-manywheel'
         with:
           docker-image-name: ${{ inputs.docker-image }}
@@ -123,7 +123,7 @@ jobs:
           echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         if: inputs.build-environment != 'linux-s390x-binary-manywheel'
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
@@ -135,7 +135,7 @@ jobs:
 
       - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
         id: install-nvidia-driver
-        uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
         if: ${{ contains(inputs.build-environment, 'cuda') && !contains(matrix.config, 'nogpu') && steps.check_container_runner.outputs.IN_CONTAINER_RUNNER == 'false' }}
 
       - name: Setup GPU_FLAG for docker run
@@ -371,7 +371,7 @@ jobs:
           job_identifier: ${{ github.workflow }}_${{ inputs.build-environment }}
 
       - name: Upload the benchmark results
-        uses: pytorch/test-infra/.github/actions/upload-benchmark-results@release/2.7
+        uses: pytorch/test-infra/.github/actions/upload-benchmark-results@main
         with:
           benchmark-results-dir: test/test-reports
           dry-run: false
@@ -428,7 +428,7 @@ jobs:
           workflow_attempt: ${{github.run_attempt}}
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
         if: always() && steps.check_container_runner.outputs.IN_CONTAINER_RUNNER == 'false'
 
       # NB: We are currently having an intermittent GPU-related issue on G5 runners with

.github/workflows/_mac-build.yml

@@ -71,11 +71,11 @@ jobs:
       test-matrix: ${{ steps.filter.outputs.test-matrix }}
     steps:
       - name: Clean up disk space before running MacOS workflow
-        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.7
+        uses: pytorch/test-infra/.github/actions/check-disk-space@main
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
 
       - name: Set xcode version
         env:
@@ -87,7 +87,7 @@ jobs:
 
       - name: Setup miniconda
         if: inputs.environment-file == ''
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
         with:
           python-version: ${{ inputs.python-version }}
           environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@@ -97,7 +97,7 @@ jobs:
       # environment even though the arch is x86-64
       - name: Setup miniconda using the provided environment file
         if: inputs.environment-file != ''
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
         with:
           python-version: ${{ inputs.python-version }}
           environment-file: ${{ inputs.environment-file }}
@@ -207,4 +207,4 @@ jobs:
       - name: Clean up disk space
         if: always()
         continue-on-error: true
-        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.7
+        uses: pytorch/test-infra/.github/actions/check-disk-space@main

.github/workflows/_mac-test-mps.yml

@@ -41,7 +41,7 @@ jobs:
       reenabled-issues: ${{ steps.filter.outputs.reenabled-issues }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
 
@@ -82,7 +82,7 @@ jobs:
           use-gha: true
 
       - name: Setup miniconda
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
         with:
           python-version: ${{ inputs.python-version }}
           environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@@ -170,4 +170,4 @@ jobs:
       - name: Clean up disk space
         if: always()
         continue-on-error: true
-        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.7
+        uses: pytorch/test-infra/.github/actions/check-disk-space@main

.github/workflows/_mac-test.yml

@@ -82,11 +82,11 @@ jobs:
           done
 
       - name: Clean up disk space before running MacOS workflow
-        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.7
+        uses: pytorch/test-infra/.github/actions/check-disk-space@main
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
 
       - name: Start monitoring script
         id: monitor-script
@@ -109,7 +109,7 @@ jobs:
           use-gha: true
 
       - name: Setup miniconda
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
         with:
           python-version: ${{ inputs.python-version }}
           environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@@ -224,7 +224,7 @@ jobs:
           file-suffix: ${{ github.job }}-${{ matrix.config }}-${{ matrix.shard }}-${{ matrix.num_shards }}-${{ matrix.runner }}_${{ steps.get-job-id.outputs.job-id }}
 
       - name: Upload the benchmark results
-        uses: pytorch/test-infra/.github/actions/upload-benchmark-results@release/2.7
+        uses: pytorch/test-infra/.github/actions/upload-benchmark-results@main
         with:
           benchmark-results-dir: test/test-reports
           dry-run: false
@@ -234,4 +234,4 @@ jobs:
       - name: Clean up disk space
         if: always()
         continue-on-error: true
-        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.7
+        uses: pytorch/test-infra/.github/actions/check-disk-space@main

.github/workflows/_rocm-test.yml

@@ -70,7 +70,7 @@ jobs:
     steps:
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           no-sudo: true
 
@@ -92,12 +92,12 @@ jobs:
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
           docker-image-name: ${{ inputs.docker-image }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
@@ -251,11 +251,6 @@ jobs:
           # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct
           docker exec -t "${{ env.CONTAINER_NAME }}" sh -c "cd ../pytorch && sudo cp -R test/test-reports ../workspace/test"
 
-      - name: Change permissions (only needed for MI300 runners for now)
-        if: ${{ always() && steps.test.conclusion && contains(matrix.runner, 'mi300') }}
-        run: |
-          docker exec -t "${{ env.CONTAINER_NAME }}" sh -c "sudo chown -R 1001:1001 test"
-
       - name: Print remaining test logs
         shell: bash
         if: always() && steps.test.conclusion
@@ -302,7 +297,7 @@ jobs:
           aws-region: us-east-1
 
       - name: Upload the benchmark results
-        uses: pytorch/test-infra/.github/actions/upload-benchmark-results@release/2.7
+        uses: pytorch/test-infra/.github/actions/upload-benchmark-results@main
         with:
           benchmark-results-dir: test/test-reports
           dry-run: false

.github/workflows/_runner-determinator.yml

@@ -54,7 +54,7 @@ jobs:
       PR_NUMBER: ${{ github.event.pull_request.number }}
     steps:
       # - name: Checkout PyTorch
-      #   uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+      #   uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
       #   with:
       #     fetch-depth: 1
       #     submodules: true

.github/workflows/_win-build.yml

@@ -84,10 +84,10 @@ jobs:
           git config --global core.fsmonitor false
 
       - name: Clean up leftover processes on non-ephemeral Windows runner
-        uses: pytorch/test-infra/.github/actions/cleanup-runner@release/2.7
+        uses: pytorch/test-infra/.github/actions/cleanup-runner@main
 
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
           instructions: |
@@ -102,7 +102,7 @@ jobs:
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           no-sudo: true
 

.github/workflows/_win-test.yml

@@ -66,10 +66,10 @@ jobs:
           git config --global core.fsmonitor false
 
       - name: Clean up leftover processes on non-ephemeral Windows runner
-        uses: pytorch/test-infra/.github/actions/cleanup-runner@release/2.7
+        uses: pytorch/test-infra/.github/actions/cleanup-runner@main
 
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
           instructions: |
@@ -85,7 +85,7 @@ jobs:
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           no-sudo: true
 

.github/workflows/_xpu-test.yml

@@ -62,7 +62,7 @@ jobs:
     steps:
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
 
       - name: Setup XPU
         uses: ./.github/actions/setup-xpu
@@ -80,12 +80,12 @@ jobs:
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
           docker-image-name: ${{ inputs.docker-image }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 

.github/workflows/build-almalinux-images.yml

@@ -41,12 +41,12 @@ jobs:
       CUDA_VERSION: ${{ matrix.cuda_version }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: almalinux-builder${{ matrix.cuda_version == 'cpu' && '-' || '-cuda' }}${{matrix.cuda_version}}
             docker-build-dir:  .ci/docker/almalinux

.github/workflows/build-libtorch-images.yml

@@ -32,7 +32,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -51,12 +51,12 @@ jobs:
       GPU_ARCH_VERSION: ${{ matrix.cuda_version }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: libtorch-cxx11-builder-cuda${{matrix.cuda_version}}
             docker-build-dir:  .ci/docker/libtorch
@@ -93,12 +93,12 @@ jobs:
       GPU_ARCH_VERSION: ${{ matrix.rocm_version }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: libtorch-cxx11-builder-rocm${{matrix.rocm_version}}
             docker-build-dir:  .ci/docker/libtorch
@@ -129,12 +129,12 @@ jobs:
     runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: libtorch-cxx11-builder-cpu
             docker-build-dir:  .ci/docker/libtorch

.github/workflows/build-manywheel-images-s390x.yml

@@ -41,7 +41,7 @@ jobs:
       GPU_ARCH_TYPE: cpu-s390x
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
           no-sudo: true

.github/workflows/build-manywheel-images.yml

@@ -36,13 +36,58 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
       curr_branch: ${{ github.head_ref || github.ref_name }}
       curr_ref_type: ${{ github.ref_type }}
 
+  build-docker-cuda:
+    environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
+    needs: get-label-type
+    runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
+    strategy:
+      matrix:
+        cuda_version: ["12.8", "12.6", "12.4", "11.8"]
+    env:
+      GPU_ARCH_TYPE: cuda
+      GPU_ARCH_VERSION: ${{ matrix.cuda_version }}
+    steps:
+      - name: Purge tools folder (free space for build)
+        run: rm -rf /opt/hostedtoolcache
+      - name: Checkout PyTorch
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        with:
+          submodules: false
+      - name: Calculate docker image
+        if: env.WITH_PUSH == 'false'
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        with:
+            docker-image-name: manylinux-builder-cuda${{matrix.cuda_version}}
+            docker-build-dir:  .ci/docker/manywheel
+            always-rebuild: true
+            push: true
+      - name: Authenticate if WITH_PUSH
+        if: env.WITH_PUSH == 'true'
+        env:
+          DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
+          DOCKER_ID: ${{ secrets.DOCKER_ID }}
+        run: |
+          if [[ "${WITH_PUSH}" == true ]]; then
+            echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
+          fi
+      - name: Build Docker Image
+        if: env.WITH_PUSH == 'true'
+        uses: nick-fields/retry@v3.0.0
+        with:
+          shell: bash
+          timeout_minutes: 90
+          max_attempts: 3
+          retry_wait_seconds: 90
+          command: |
+            .ci/docker/manywheel/build.sh manylinux-builder:cuda${{matrix.cuda_version}}
+  # NOTE: manylinux_2_28 are still experimental, see https://github.com/pytorch/pytorch/issues/123649
   build-docker-cuda-manylinux_2_28:
     environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
     needs: get-label-type
@@ -57,12 +102,12 @@ jobs:
       - name: Purge tools folder (free space for build)
         run: rm -rf /opt/hostedtoolcache
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: manylinux2_28-builder-cuda${{matrix.cuda_version}}
             docker-build-dir:  .ci/docker/manywheel
@@ -102,7 +147,7 @@ jobs:
         uses: actions/checkout@v3
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: manylinuxaarch64-builder-cuda${{matrix.cuda_version}}
             docker-build-dir:  .ci/docker/manywheel
@@ -139,12 +184,12 @@ jobs:
       GPU_ARCH_VERSION: ${{ matrix.rocm_version }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: manylinux2_28-builder-rocm${{matrix.rocm_version}}
             docker-build-dir:  .ci/docker/manywheel
@@ -169,6 +214,42 @@ jobs:
           retry_wait_seconds: 90
           command: |
             .ci/docker/manywheel/build.sh manylinux2_28-builder:rocm${{matrix.rocm_version}}
+  build-docker-cpu:
+    environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
+    needs: get-label-type
+    runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.9xlarge.ephemeral"
+    steps:
+      - name: Checkout PyTorch
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        with:
+          submodules: false
+      - name: Calculate docker image
+        if: env.WITH_PUSH == 'false'
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        with:
+            docker-image-name: manylinux-builder-cpu
+            docker-build-dir:  .ci/docker/manywheel
+            always-rebuild: true
+            push: true
+      - name: Authenticate if WITH_PUSH
+        if: env.WITH_PUSH == 'true'
+        env:
+          DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
+          DOCKER_ID: ${{ secrets.DOCKER_ID }}
+        run: |
+          if [[ "${WITH_PUSH}" == true ]]; then
+            echo "${DOCKER_TOKEN}" | docker login -u "${DOCKER_ID}" --password-stdin
+          fi
+      - name: Build Docker Image
+        if: env.WITH_PUSH == 'true'
+        uses: nick-fields/retry@v3.0.0
+        with:
+          shell: bash
+          timeout_minutes: 90
+          max_attempts: 3
+          retry_wait_seconds: 90
+          command: |
+            .ci/docker/manywheel/build.sh manylinux-builder:cpu
   build-docker-cpu-manylinux_2_28:
     environment: ${{ (github.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v')) && 'docker-build' || '' }}
     needs: get-label-type
@@ -177,12 +258,12 @@ jobs:
       GPU_ARCH_TYPE: cpu-manylinux_2_28
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: manylinux2_28-builder-cpu
             docker-build-dir:  .ci/docker/manywheel
@@ -215,12 +296,12 @@ jobs:
       GPU_ARCH_TYPE: cpu-aarch64
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: manylinuxaarch64-builder-cpu-aarch64
             docker-build-dir:  .ci/docker/manywheel
@@ -253,12 +334,12 @@ jobs:
       GPU_ARCH_TYPE: cpu-aarch64-2_28
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: manylinux2_28_aarch64-builder-cpu-aarch64
             docker-build-dir:  .ci/docker/manywheel
@@ -294,12 +375,12 @@ jobs:
       GPU_ARCH_TYPE: cpu-cxx11-abi
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: manylinuxcxx11-abi-builder-cpu-cxx11-abi
             docker-build-dir:  .ci/docker/manywheel
@@ -332,12 +413,12 @@ jobs:
       GPU_ARCH_TYPE: xpu
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
       - name: Calculate docker image
         if: env.WITH_PUSH == 'false'
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
             docker-image-name: manylinux2_28-builder-xpu
             docker-build-dir:  .ci/docker/manywheel

.github/workflows/build-triton-wheel.yml

@@ -3,7 +3,7 @@ name: Build Triton wheels
 on:
   push:
     branches:
-      - release/2.7
+      - main
     tags:
       # NOTE: Binary build pipelines should only get triggered on release candidate builds
       # Release candidate tags look like: v1.11.0-rc1
@@ -30,7 +30,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -40,40 +40,37 @@ jobs:
   build-wheel:
     name: "Build Triton Wheel"
     needs: get-label-type
-    runs-on: ${{ matrix.runs_on }}
+    runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge"
     strategy:
       fail-fast: false
       matrix:
         py_vers: [ "3.9", "3.10", "3.11", "3.12", "3.13", "3.13t" ]
-        device: ["cuda", "rocm", "xpu", "aarch64"]
-        docker-image: ["pytorch/manylinux2_28-builder:cpu"]
+        device: ["cuda", "rocm", "xpu"]
+        docker-image: ["pytorch/manylinux-builder:cpu", "pytorch/manylinux2_28-builder:cpu"]
+        exclude:
+          - device: "rocm"
+            docker-image: "pytorch/manylinux-builder:cpu"
+          - device: "xpu"
+            docker-image: "pytorch/manylinux2_28-builder:cpu"
         include:
           - device: "rocm"
             rocm_version: "6.3"
-            runs_on: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge"
           - device: "cuda"
             rocm_version: ""
-            runs_on: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge"
-          - device: "xpu"
-            rocm_version: ""
-            runs_on: "${{ needs.get-label-type.outputs.label-type }}linux.4xlarge"
-          - device: "aarch64"
-            rocm_version: ""
-            runs_on: "${{ needs.get-label-type.outputs.label-type }}linux.arm64.2xlarge"
     timeout-minutes: 40
     env:
-      DOCKER_IMAGE: ${{ matrix.device == 'rocm' && format('pytorch/manylinux2_28-builder:rocm{0}', matrix.rocm_version) || matrix.device == 'aarch64' && 'pytorch/manylinux2_28_aarch64-builder:cpu-aarch64' || matrix.docker-image }}
+      DOCKER_IMAGE: ${{ matrix.device == 'rocm' && format('pytorch/manylinux2_28-builder:rocm{0}', matrix.rocm_version) || matrix.docker-image }}
       PY_VERS: ${{ matrix.py_vers }}
       BUILD_DEVICE: ${{ matrix.device }}
-      PLATFORM: 'manylinux_2_28_x86_64'
+      PLATFORM: ${{ contains(matrix.docker-image, '2_28') && 'manylinux_2_28_x86_64' || 'manylinux2014_x86_64' }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
 
@@ -81,7 +78,7 @@ jobs:
         uses: ./.github/actions/setup-linux
 
       - name: Pull Docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: ${{ env.DOCKER_IMAGE }}
 
@@ -133,22 +130,19 @@ jobs:
           fi
 
           docker exec -t "${container_name}" yum install -y zlib-devel zip
-          docker exec -t "${container_name}" "${PYTHON_EXECUTABLE}"  -m pip install -U setuptools==67.4.0 pybind11==2.13.1 auditwheel wheel
-
-          if [[ ("${{ matrix.device }}" == "cuda" || "${{ matrix.device }}" == "rocm" || "${{ matrix.device }}" == "aarch64" ) ]]; then
+          docker exec -t "${container_name}" "${PYTHON_EXECUTABLE}"  -m pip install -U setuptools==67.4.0 pybind11==2.13.1 auditwheel
+          if [[ ("${{ matrix.device }}" == "cuda" || "${{ matrix.device }}" == "rocm") && "${PLATFORM}" == "manylinux_2_28_x86_64" ]]; then
             # With this install, it gets clang 16.0.6.
             docker exec -t "${container_name}" dnf install clang lld -y
             WITH_CLANG_LDD="--with-clang-ldd"
           fi
-
           if [[ "${BUILD_DEVICE}" == xpu ]]; then
-            docker exec -t "${container_name}" bash -c "dnf install -y gcc-toolset-13-gcc-c++"
-            docker exec -t "${container_name}" bash -c "source /opt/rh/gcc-toolset-13/enable && ${PYTHON_EXECUTABLE} /pytorch/.github/scripts/build_triton_wheel.py --device=$BUILD_DEVICE $RELEASE"
+            docker exec -t "${container_name}" yum install -y devtoolset-11-gcc-c++
+            docker exec -t "${container_name}" bash -c "source /opt/rh/devtoolset-11/enable && ${PYTHON_EXECUTABLE} /pytorch/.github/scripts/build_triton_wheel.py --device=$BUILD_DEVICE $RELEASE"
           else
             docker exec -t "${container_name}" bash -c "${PYTHON_EXECUTABLE} /pytorch/.github/scripts/build_triton_wheel.py --device=$BUILD_DEVICE $RELEASE $WITH_CLANG_LDD"
           fi
-
-          if [[ ("${{ matrix.device }}" == "cuda" || "${{ matrix.device }}" == "xpu") ]]; then
+          if [[ "${{ matrix.device }}" == "cuda" ]]; then
             docker exec -t "${container_name}"  bash -c "auditwheel repair --plat ${PLATFORM} //artifacts/*.whl"
           else
             docker exec -t "${container_name}"  bash -c "mkdir //artifacts/wheelhouse"
@@ -163,105 +157,18 @@ jobs:
           path: ${{ runner.temp }}/artifacts/wheelhouse/*
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
         if: always()
 
-  build-wheel-win:
-    name: "Build Triton Windows Wheel"
-    needs: get-label-type
-    runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
-    strategy:
-      fail-fast: false
-      matrix:
-        py_vers: [ "3.9", "3.10", "3.11", "3.12", "3.13", "3.13t" ]
-        device: ["xpu"]
-    timeout-minutes: 40
-    env:
-      PY_VERS: ${{ matrix.py_vers }}
-      BUILD_DEVICE: ${{ matrix.device }}
-      VC_INSTALL_PATH: "C:\\MSVC-BuildTools-2022"
-    steps:
-      - name: Display EC2 information
-        shell: bash
-        run: |
-          set -euo pipefail
-          function get_ec2_metadata() {
-            # Pulled from instance metadata endpoint for EC2
-            # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
-            category=$1
-            curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
-          }
-          echo "ami-id: $(get_ec2_metadata ami-id)"
-          echo "instance-id: $(get_ec2_metadata instance-id)"
-          echo "instance-type: $(get_ec2_metadata instance-type)"
-          echo "system info $(uname -a)"
-      - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
-        continue-on-error: true
-        with:
-          github-secret: ${{ secrets.GITHUB_TOKEN }}
-      - name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
-        shell: bash
-        run: |
-          git config --global core.longpaths true
-          git config --global core.symlinks true
-          # https://git-scm.com/docs/git-fsmonitor--daemon.  The daemon could lock
-          # the directory on Windows and prevent GHA from checking out as reported
-          # in https://github.com/actions/checkout/issues/1018
-          git config --global core.fsmonitor false
-      - name: Checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
-          submodules: false
-          path: pytorch
-          show-progress: false
-      - name: Clean PyTorch checkout
-        run: |
-          # Remove any artifacts from the previous checkouts
-          git clean -fxd
-        working-directory: pytorch
-      - name: Enable long paths on Windows and install VS2022 17.13.2
-        env:
-          VC_YEAR: 2022
-          VC_VERSION: 17.13.2
-        shell: bash
-        working-directory: pytorch
-        run: |
-          powershell .github/scripts/windows/install_vs2022.ps1
-      - name: Build Triton wheel
-        env:
-          IS_RELEASE_TAG: ${{ startsWith(github.event.ref, 'refs/tags/v') }}
-        working-directory: pytorch
-        shell: bash
-        run: |
-          set -x
-          export RELEASE=""
-          if [[ "${IS_RELEASE_TAG}" == true ]]; then
-            export RELEASE="--release"
-          fi
-          .github/scripts/windows/build_triton.bat
-          mkdir -p "${RUNNER_TEMP}/artifacts/"
-          mv ./*.whl "${RUNNER_TEMP}/artifacts/"
-
-      - uses: actions/upload-artifact@v4.4.0
-        with:
-          name: pytorch-triton-wheel-${{ matrix.py_vers }}-${{ matrix.device }}
-          if-no-files-found: error
-          path: ${{ runner.temp }}/artifacts/*
-
-
   upload-wheel:
     runs-on: ubuntu-22.04
-    needs:
-      - build-wheel
-      - build-wheel-win
+    needs: build-wheel
     permissions:
       id-token: write
       contents: read
     container:
       image: continuumio/miniconda3:4.12.0
-    environment: ${{ (github.event_name == 'push' && github.event.ref == 'refs/heads/main') && 'nightly-wheel-upload' || '' }}
+    environment: ${{ (github.event_name == 'push' && (github.event.ref == 'refs/heads/main' || startsWith(github.event.ref, 'refs/tags/v'))) && 'conda-aws-upload' || '' }}
     steps:
       - uses: actions/checkout@v3
 

.github/workflows/check-labels.yml

@@ -38,7 +38,7 @@ jobs:
     runs-on: linux.20_04.4x
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
           fetch-depth: 1

.github/workflows/close-nonexistent-disable-issues.yml

@@ -13,7 +13,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           submodules: false
           fetch-depth: 1

.github/workflows/create_release.yml

@@ -19,7 +19,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}

.github/workflows/docker-builds.yml

@@ -33,7 +33,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -49,13 +49,10 @@ jobs:
       matrix:
         runner: [linux.12xlarge]
         docker-image-name: [
+          pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9,
           pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks,
           pytorch-linux-focal-cuda12.4-cudnn9-py3.12-gcc9-inductor-benchmarks,
           pytorch-linux-focal-cuda12.4-cudnn9-py3.13-gcc9-inductor-benchmarks,
-          pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc11,
-          pytorch-linux-focal-cuda12.6-cudnn9-py3-gcc9-inductor-benchmarks,
-          pytorch-linux-focal-cuda12.6-cudnn9-py3.12-gcc9-inductor-benchmarks,
-          pytorch-linux-focal-cuda12.6-cudnn9-py3.13-gcc9-inductor-benchmarks,
           pytorch-linux-focal-cuda11.8-cudnn9-py3-gcc9,
           pytorch-linux-focal-py3.9-clang10,
           pytorch-linux-focal-py3.11-clang10,
@@ -99,21 +96,21 @@ jobs:
       # [see note: pytorch repo ref]
       # deep clone (fetch-depth 0) required for git merge-base
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Build docker image
         id: build-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
         with:
           docker-image-name: ${{ matrix.docker-image-name }}
           always-rebuild: true
           push: true
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
           docker-image: ${{ steps.build-docker-image.outputs.docker-image }}
 
@@ -145,5 +142,5 @@ jobs:
         if: always()
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
         if: always()

.github/workflows/docker-release.yml

@@ -37,7 +37,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -52,7 +52,7 @@ jobs:
       matrix: ${{ steps.generate-matrix.outputs.matrix }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.7
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
         with:
           fetch-depth: 1
           submodules: true
@@ -82,7 +82,7 @@ jobs:
       CUDNN_VERSION: ${{ matrix.cudnn_version }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
       # [see note: pytorch repo ref]
@@ -103,14 +103,13 @@ jobs:
           password: ${{ secrets.GHCR_PAT }}
       # Setup multi-arch image builds
       - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
+        uses: docker/setup-qemu-action@v2
         env:
           QEMU_BINARY_PATH: ${{ runner.temp }}/bin
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
+        uses: docker/setup-buildx-action@v2
         with:
-          version: latest
-          driver-opts: image=moby/buildkit:v0.19.0
+          version: v0.10.0
       - name: Setup job specific variables
         run: |
           set -eou pipefail
@@ -161,12 +160,12 @@ jobs:
           fi
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.7
+        uses: pytorch/test-infra/.github/actions/teardown-linux@main
         if: always()
 
   validate:
     needs: build
-    uses: pytorch/test-infra/.github/workflows/validate-docker-images.yml@release/2.7
+    uses: pytorch/test-infra/.github/workflows/validate-docker-images.yml@main
     with:
-      channel: test
+      channel: nightly
       ref: main

.github/workflows/generated-linux-aarch64-binary-manywheel-nightly.yml

@@ -38,7 +38,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -55,7 +55,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -64,7 +64,7 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_9-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_9-cpu-aarch64-test:  # Testing
@@ -80,7 +80,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -104,7 +104,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -113,6 +113,53 @@ jobs:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
 
+  manywheel-py3_9-cuda-aarch64-12_6-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    uses: ./.github/workflows/_binary-build-linux.yml
+    needs: get-label-type
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.9"
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      runs_on: linux.arm64.m7g.4xlarge.ephemeral
+      ALPINE_IMAGE: "arm64v8/alpine"
+      build_name: manywheel-py3_9-cuda-aarch64-12_6
+      build_environment: linux-aarch64-binary-manywheel
+      timeout-minutes: 420
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  manywheel-py3_9-cuda-aarch64-12_6-upload:  # Uploading
+    if: ${{ github.repository_owner == 'pytorch' }}
+    permissions:
+      id-token: write
+      contents: read
+    needs: manywheel-py3_9-cuda-aarch64-12_6-build
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.9"
+      build_name: manywheel-py3_9-cuda-aarch64-12_6
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+    uses: ./.github/workflows/_binary-upload.yml
+
   manywheel-py3_9-cuda-aarch64-12_8-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -125,7 +172,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -134,7 +181,6 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_9-cuda-aarch64-12_8
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.7.1.26; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.8.3.14; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.3.41; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.9.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.2.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.7.53; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.8.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.13.0.11; platform_system == 'Linux' and platform_machine == 'x86_64'
       timeout-minutes: 420
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
@@ -152,7 +198,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -172,7 +218,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.10"
@@ -181,7 +227,7 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_10-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_10-cpu-aarch64-test:  # Testing
@@ -197,7 +243,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.10"
@@ -221,7 +267,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.10"
@@ -230,6 +276,53 @@ jobs:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
 
+  manywheel-py3_10-cuda-aarch64-12_6-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    uses: ./.github/workflows/_binary-build-linux.yml
+    needs: get-label-type
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.10"
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      runs_on: linux.arm64.m7g.4xlarge.ephemeral
+      ALPINE_IMAGE: "arm64v8/alpine"
+      build_name: manywheel-py3_10-cuda-aarch64-12_6
+      build_environment: linux-aarch64-binary-manywheel
+      timeout-minutes: 420
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  manywheel-py3_10-cuda-aarch64-12_6-upload:  # Uploading
+    if: ${{ github.repository_owner == 'pytorch' }}
+    permissions:
+      id-token: write
+      contents: read
+    needs: manywheel-py3_10-cuda-aarch64-12_6-build
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.10"
+      build_name: manywheel-py3_10-cuda-aarch64-12_6
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+    uses: ./.github/workflows/_binary-upload.yml
+
   manywheel-py3_10-cuda-aarch64-12_8-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -242,7 +335,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.10"
@@ -251,7 +344,6 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_10-cuda-aarch64-12_8
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.7.1.26; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.8.3.14; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.3.41; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.9.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.2.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.7.53; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.8.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.13.0.11; platform_system == 'Linux' and platform_machine == 'x86_64'
       timeout-minutes: 420
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
@@ -269,7 +361,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.10"
@@ -289,7 +381,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.11"
@@ -298,7 +390,7 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_11-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_11-cpu-aarch64-test:  # Testing
@@ -314,7 +406,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.11"
@@ -338,7 +430,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.11"
@@ -347,6 +439,53 @@ jobs:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
 
+  manywheel-py3_11-cuda-aarch64-12_6-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    uses: ./.github/workflows/_binary-build-linux.yml
+    needs: get-label-type
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.11"
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      runs_on: linux.arm64.m7g.4xlarge.ephemeral
+      ALPINE_IMAGE: "arm64v8/alpine"
+      build_name: manywheel-py3_11-cuda-aarch64-12_6
+      build_environment: linux-aarch64-binary-manywheel
+      timeout-minutes: 420
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  manywheel-py3_11-cuda-aarch64-12_6-upload:  # Uploading
+    if: ${{ github.repository_owner == 'pytorch' }}
+    permissions:
+      id-token: write
+      contents: read
+    needs: manywheel-py3_11-cuda-aarch64-12_6-build
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.11"
+      build_name: manywheel-py3_11-cuda-aarch64-12_6
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+    uses: ./.github/workflows/_binary-upload.yml
+
   manywheel-py3_11-cuda-aarch64-12_8-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -359,7 +498,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.11"
@@ -368,7 +507,6 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_11-cuda-aarch64-12_8
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.7.1.26; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.8.3.14; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.3.41; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.9.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.2.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.7.53; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.8.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.13.0.11; platform_system == 'Linux' and platform_machine == 'x86_64'
       timeout-minutes: 420
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
@@ -386,7 +524,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.11"
@@ -406,7 +544,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.12"
@@ -415,7 +553,7 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_12-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_12-cpu-aarch64-test:  # Testing
@@ -431,7 +569,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.12"
@@ -455,7 +593,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.12"
@@ -464,6 +602,53 @@ jobs:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
 
+  manywheel-py3_12-cuda-aarch64-12_6-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    uses: ./.github/workflows/_binary-build-linux.yml
+    needs: get-label-type
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.12"
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      runs_on: linux.arm64.m7g.4xlarge.ephemeral
+      ALPINE_IMAGE: "arm64v8/alpine"
+      build_name: manywheel-py3_12-cuda-aarch64-12_6
+      build_environment: linux-aarch64-binary-manywheel
+      timeout-minutes: 420
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  manywheel-py3_12-cuda-aarch64-12_6-upload:  # Uploading
+    if: ${{ github.repository_owner == 'pytorch' }}
+    permissions:
+      id-token: write
+      contents: read
+    needs: manywheel-py3_12-cuda-aarch64-12_6-build
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.12"
+      build_name: manywheel-py3_12-cuda-aarch64-12_6
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+    uses: ./.github/workflows/_binary-upload.yml
+
   manywheel-py3_12-cuda-aarch64-12_8-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -476,7 +661,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.12"
@@ -485,7 +670,6 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_12-cuda-aarch64-12_8
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.7.1.26; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.8.3.14; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.3.41; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.9.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.2.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.7.53; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.8.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.13.0.11; platform_system == 'Linux' and platform_machine == 'x86_64'
       timeout-minutes: 420
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
@@ -503,7 +687,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.12"
@@ -523,7 +707,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13"
@@ -532,7 +716,7 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_13-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_13-cpu-aarch64-test:  # Testing
@@ -548,7 +732,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13"
@@ -572,7 +756,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13"
@@ -581,6 +765,53 @@ jobs:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
 
+  manywheel-py3_13-cuda-aarch64-12_6-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    uses: ./.github/workflows/_binary-build-linux.yml
+    needs: get-label-type
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.13"
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      runs_on: linux.arm64.m7g.4xlarge.ephemeral
+      ALPINE_IMAGE: "arm64v8/alpine"
+      build_name: manywheel-py3_13-cuda-aarch64-12_6
+      build_environment: linux-aarch64-binary-manywheel
+      timeout-minutes: 420
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  manywheel-py3_13-cuda-aarch64-12_6-upload:  # Uploading
+    if: ${{ github.repository_owner == 'pytorch' }}
+    permissions:
+      id-token: write
+      contents: read
+    needs: manywheel-py3_13-cuda-aarch64-12_6-build
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.13"
+      build_name: manywheel-py3_13-cuda-aarch64-12_6
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+    uses: ./.github/workflows/_binary-upload.yml
+
   manywheel-py3_13-cuda-aarch64-12_8-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -593,7 +824,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13"
@@ -602,7 +833,6 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_13-cuda-aarch64-12_8
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.7.1.26; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.8.3.14; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.3.41; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.9.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.2.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.7.53; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.8.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.13.0.11; platform_system == 'Linux' and platform_machine == 'x86_64'
       timeout-minutes: 420
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
@@ -620,7 +850,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13"
@@ -640,7 +870,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13t"
@@ -649,7 +879,7 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_13t-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_13t-cpu-aarch64-test:  # Testing
@@ -665,7 +895,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13t"
@@ -689,7 +919,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28_aarch64-builder:cpu-aarch64-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13t"
@@ -698,6 +928,53 @@ jobs:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
 
+  manywheel-py3_13t-cuda-aarch64-12_6-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    uses: ./.github/workflows/_binary-build-linux.yml
+    needs: get-label-type
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.13t"
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      runs_on: linux.arm64.m7g.4xlarge.ephemeral
+      ALPINE_IMAGE: "arm64v8/alpine"
+      build_name: manywheel-py3_13t-cuda-aarch64-12_6
+      build_environment: linux-aarch64-binary-manywheel
+      timeout-minutes: 420
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  manywheel-py3_13t-cuda-aarch64-12_6-upload:  # Uploading
+    if: ${{ github.repository_owner == 'pytorch' }}
+    permissions:
+      id-token: write
+      contents: read
+    needs: manywheel-py3_13t-cuda-aarch64-12_6-build
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6-aarch64
+      GPU_ARCH_TYPE: cuda-aarch64
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.13t"
+      build_name: manywheel-py3_13t-cuda-aarch64-12_6
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+    uses: ./.github/workflows/_binary-upload.yml
+
   manywheel-py3_13t-cuda-aarch64-12_8-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -710,7 +987,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13t"
@@ -719,7 +996,6 @@ jobs:
       ALPINE_IMAGE: "arm64v8/alpine"
       build_name: manywheel-py3_13t-cuda-aarch64-12_8
       build_environment: linux-aarch64-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.7.1.26; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.8.3.14; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.3.41; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.9.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.2.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.7.53; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.8.55; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.13.0.11; platform_system == 'Linux' and platform_machine == 'x86_64'
       timeout-minutes: 420
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
@@ -737,7 +1013,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8-aarch64
       GPU_ARCH_TYPE: cuda-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.13t"

.github/workflows/generated-linux-binary-libtorch-cxx11-abi-main.yml

@@ -33,7 +33,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -50,7 +50,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
@@ -71,7 +71,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi

.github/workflows/generated-linux-binary-libtorch-cxx11-abi-nightly.yml

@@ -38,7 +38,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -55,7 +55,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
@@ -76,7 +76,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi
@@ -98,7 +98,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi
@@ -118,7 +118,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
@@ -140,7 +140,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda11_8-shared-with-deps-cxx11-abi
@@ -163,7 +163,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda11_8-shared-with-deps-cxx11-abi
@@ -171,6 +171,71 @@ jobs:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
 
+  libtorch-cuda12_4-shared-with-deps-cxx11-abi-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    uses: ./.github/workflows/_binary-build-linux.yml
+    needs: get-label-type
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: libtorch
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu124
+      GPU_ARCH_VERSION: 12.4
+      GPU_ARCH_TYPE: cuda
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.4-main
+      LIBTORCH_VARIANT: shared-with-deps
+      DESIRED_DEVTOOLSET: cxx11-abi
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      build_name: libtorch-cuda12_4-shared-with-deps-cxx11-abi
+      build_environment: linux-binary-libtorch-cxx11-abi
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  libtorch-cuda12_4-shared-with-deps-cxx11-abi-test:  # Testing
+    if: ${{ github.repository_owner == 'pytorch' }}
+    needs:
+      - libtorch-cuda12_4-shared-with-deps-cxx11-abi-build
+      - get-label-type
+    uses: ./.github/workflows/_binary-test-linux.yml
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: libtorch
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu124
+      GPU_ARCH_VERSION: 12.4
+      GPU_ARCH_TYPE: cuda
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.4-main
+      LIBTORCH_VARIANT: shared-with-deps
+      DESIRED_DEVTOOLSET: cxx11-abi
+      build_name: libtorch-cuda12_4-shared-with-deps-cxx11-abi
+      build_environment: linux-binary-libtorch-cxx11-abi
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      runs_on: linux.4xlarge.nvidia.gpu
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  libtorch-cuda12_4-shared-with-deps-cxx11-abi-upload:  # Uploading
+    if: ${{ github.repository_owner == 'pytorch' }}
+    permissions:
+      id-token: write
+      contents: read
+    needs: libtorch-cuda12_4-shared-with-deps-cxx11-abi-test
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: libtorch
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu124
+      GPU_ARCH_VERSION: 12.4
+      GPU_ARCH_TYPE: cuda
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.4-main
+      LIBTORCH_VARIANT: shared-with-deps
+      DESIRED_DEVTOOLSET: cxx11-abi
+      build_name: libtorch-cuda12_4-shared-with-deps-cxx11-abi
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+    uses: ./.github/workflows/_binary-upload.yml
+
   libtorch-cuda12_6-shared-with-deps-cxx11-abi-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -183,7 +248,7 @@ jobs:
       DESIRED_CUDA: cu126
       GPU_ARCH_VERSION: 12.6
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.6-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.6-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
@@ -205,7 +270,7 @@ jobs:
       DESIRED_CUDA: cu126
       GPU_ARCH_VERSION: 12.6
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.6-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.6-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda12_6-shared-with-deps-cxx11-abi
@@ -228,7 +293,7 @@ jobs:
       DESIRED_CUDA: cu126
       GPU_ARCH_VERSION: 12.6
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.6-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.6-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda12_6-shared-with-deps-cxx11-abi
@@ -236,71 +301,6 @@ jobs:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
 
-  libtorch-cuda12_8-shared-with-deps-cxx11-abi-build:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    uses: ./.github/workflows/_binary-build-linux.yml
-    needs: get-label-type
-    with:
-      PYTORCH_ROOT: /pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cu128
-      GPU_ARCH_VERSION: 12.8
-      GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.8-2.7
-      LIBTORCH_VARIANT: shared-with-deps
-      DESIRED_DEVTOOLSET: cxx11-abi
-      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
-      build_name: libtorch-cuda12_8-shared-with-deps-cxx11-abi
-      build_environment: linux-binary-libtorch-cxx11-abi
-    secrets:
-      github-token: ${{ secrets.GITHUB_TOKEN }}
-  libtorch-cuda12_8-shared-with-deps-cxx11-abi-test:  # Testing
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs:
-      - libtorch-cuda12_8-shared-with-deps-cxx11-abi-build
-      - get-label-type
-    uses: ./.github/workflows/_binary-test-linux.yml
-    with:
-      PYTORCH_ROOT: /pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cu128
-      GPU_ARCH_VERSION: 12.8
-      GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.8-2.7
-      LIBTORCH_VARIANT: shared-with-deps
-      DESIRED_DEVTOOLSET: cxx11-abi
-      build_name: libtorch-cuda12_8-shared-with-deps-cxx11-abi
-      build_environment: linux-binary-libtorch-cxx11-abi
-      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
-      runs_on: linux.g4dn.4xlarge.nvidia.gpu  # 12.8 build needs sm_70+ runner
-    secrets:
-      github-token: ${{ secrets.GITHUB_TOKEN }}
-  libtorch-cuda12_8-shared-with-deps-cxx11-abi-upload:  # Uploading
-    if: ${{ github.repository_owner == 'pytorch' }}
-    permissions:
-      id-token: write
-      contents: read
-    needs: libtorch-cuda12_8-shared-with-deps-cxx11-abi-test
-    with:
-      PYTORCH_ROOT: /pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cu128
-      GPU_ARCH_VERSION: 12.8
-      GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.8-2.7
-      LIBTORCH_VARIANT: shared-with-deps
-      DESIRED_DEVTOOLSET: cxx11-abi
-      build_name: libtorch-cuda12_8-shared-with-deps-cxx11-abi
-    secrets:
-      github-token: ${{ secrets.GITHUB_TOKEN }}
-    uses: ./.github/workflows/_binary-upload.yml
-
   libtorch-rocm6_2_4-shared-with-deps-cxx11-abi-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -313,7 +313,7 @@ jobs:
       DESIRED_CUDA: rocm6.2.4
       GPU_ARCH_VERSION: 6.2.4
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
@@ -337,7 +337,7 @@ jobs:
       GPU_ARCH_VERSION: 6.2.4
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
     steps:
@@ -351,6 +351,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -363,9 +364,9 @@ jobs:
         run: |
           echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd --device=/dev/dri --group-add video --group-add daemon" >> "${GITHUB_ENV}"
       - name: Pull Docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/libtorch-cxx11-builder:rocm6.2.4-2.7
+          docker-image: pytorch/libtorch-cxx11-builder:rocm6.2.4-main
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -384,7 +385,7 @@ jobs:
       DESIRED_CUDA: rocm6.2.4
       GPU_ARCH_VERSION: 6.2.4
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.2.4-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-rocm6_2_4-shared-with-deps-cxx11-abi
@@ -404,7 +405,7 @@ jobs:
       DESIRED_CUDA: rocm6.3
       GPU_ARCH_VERSION: 6.3
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.3-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.3-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
@@ -428,7 +429,7 @@ jobs:
       GPU_ARCH_VERSION: 6.3
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.3-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.3-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
     steps:
@@ -442,6 +443,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -454,9 +456,9 @@ jobs:
         run: |
           echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd --device=/dev/dri --group-add video --group-add daemon" >> "${GITHUB_ENV}"
       - name: Pull Docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.7
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/libtorch-cxx11-builder:rocm6.3-2.7
+          docker-image: pytorch/libtorch-cxx11-builder:rocm6.3-main
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -475,7 +477,7 @@ jobs:
       DESIRED_CUDA: rocm6.3
       GPU_ARCH_VERSION: 6.3
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.3-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.3-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-rocm6_3-shared-with-deps-cxx11-abi

.github/workflows/generated-linux-binary-manywheel-main.yml

@@ -33,7 +33,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -51,7 +51,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda11.8-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda11.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -75,7 +75,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda11.8-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda11.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -86,6 +86,53 @@ jobs:
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
 
+  manywheel-py3_9-cuda12_4-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    uses: ./.github/workflows/_binary-build-linux.yml
+    needs: get-label-type
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu124
+      GPU_ARCH_VERSION: 12.4
+      GPU_ARCH_TYPE: cuda
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.9"
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      build_name: manywheel-py3_9-cuda12_4
+      build_environment: linux-binary-manywheel
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+  manywheel-py3_9-cuda12_4-test:  # Testing
+    if: ${{ github.repository_owner == 'pytorch' }}
+    needs:
+      - manywheel-py3_9-cuda12_4-build
+      - get-label-type
+    uses: ./.github/workflows/_binary-test-linux.yml
+    with:
+      PYTORCH_ROOT: /pytorch
+      PACKAGE_TYPE: manywheel
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu124
+      GPU_ARCH_VERSION: 12.4
+      GPU_ARCH_TYPE: cuda
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.4-main
+      DESIRED_DEVTOOLSET: cxx11-abi
+      use_split_build: False
+      DESIRED_PYTHON: "3.9"
+      build_name: manywheel-py3_9-cuda12_4
+      build_environment: linux-binary-manywheel
+      runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
+      runs_on: linux.4xlarge.nvidia.gpu
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+
   manywheel-py3_9-cuda12_6-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     uses: ./.github/workflows/_binary-build-linux.yml
@@ -98,7 +145,7 @@ jobs:
       DESIRED_CUDA: cu126
       GPU_ARCH_VERSION: 12.6
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.6-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.6-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -122,7 +169,7 @@ jobs:
       DESIRED_CUDA: cu126
       GPU_ARCH_VERSION: 12.6
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.6-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.6-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -145,7 +192,7 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
@@ -169,13 +216,13 @@ jobs:
       DESIRED_CUDA: cu128
       GPU_ARCH_VERSION: 12.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.8-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cuda12.8-main
       DESIRED_DEVTOOLSET: cxx11-abi
       use_split_build: False
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cuda12_8
       build_environment: linux-binary-manywheel
       runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
-      runs_on: linux.g4dn.4xlarge.nvidia.gpu  # 12.8 build needs sm_70+ runner
+      runs_on: linux.4xlarge.nvidia.gpu
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/generated-linux-s390x-binary-manywheel-nightly.yml

@@ -38,7 +38,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -55,7 +55,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.9"
       runs_on: linux.s390x
@@ -63,7 +63,7 @@ jobs:
       timeout-minutes: 420
       build_name: manywheel-py3_9-cpu-s390x
       build_environment: linux-s390x-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_9-cpu-s390x-test:  # Testing
@@ -79,7 +79,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu-s390x
@@ -101,7 +101,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu-s390x
@@ -120,7 +120,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.10"
       runs_on: linux.s390x
@@ -128,7 +128,7 @@ jobs:
       timeout-minutes: 420
       build_name: manywheel-py3_10-cpu-s390x
       build_environment: linux-s390x-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_10-cpu-s390x-test:  # Testing
@@ -144,7 +144,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu-s390x
@@ -166,7 +166,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu-s390x
@@ -185,7 +185,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.11"
       runs_on: linux.s390x
@@ -193,7 +193,7 @@ jobs:
       timeout-minutes: 420
       build_name: manywheel-py3_11-cpu-s390x
       build_environment: linux-s390x-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_11-cpu-s390x-test:  # Testing
@@ -209,7 +209,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu-s390x
@@ -231,7 +231,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu-s390x
@@ -250,7 +250,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.12"
       runs_on: linux.s390x
@@ -258,7 +258,7 @@ jobs:
       timeout-minutes: 420
       build_name: manywheel-py3_12-cpu-s390x
       build_environment: linux-s390x-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_12-cpu-s390x-test:  # Testing
@@ -274,7 +274,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu-s390x
@@ -296,7 +296,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu-s390x
@@ -315,7 +315,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.13"
       runs_on: linux.s390x
@@ -323,7 +323,7 @@ jobs:
       timeout-minutes: 420
       build_name: manywheel-py3_13-cpu-s390x
       build_environment: linux-s390x-binary-manywheel
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
   manywheel-py3_13-cpu-s390x-test:  # Testing
@@ -339,7 +339,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.13"
       build_name: manywheel-py3_13-cpu-s390x
@@ -361,7 +361,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-s390x
-      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-2.7
+      DOCKER_IMAGE: pytorch/manylinuxs390x-builder:cpu-s390x-main
       use_split_build: False
       DESIRED_PYTHON: "3.13"
       build_name: manywheel-py3_13-cpu-s390x

.github/workflows/generated-macos-arm64-binary-libtorch-cxx11-abi-nightly.yml

@@ -75,6 +75,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -125,7 +126,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi

.github/workflows/generated-macos-arm64-binary-wheel-nightly.yml

@@ -43,7 +43,7 @@ jobs:
       GPU_ARCH_TYPE: cpu
       SKIP_ALL_TESTS: 1
       DESIRED_PYTHON: "3.9"
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     steps:
       # NOTE: These environment variables are put here so that they can be applied on every job equally
       #       They are also here because setting them at a workflow level doesn't give us access to the
@@ -72,6 +72,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -146,7 +147,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-main
       DESIRED_PYTHON: "3.9"
       build_name: wheel-py3_9-cpu
       use_s3: False
@@ -166,7 +167,7 @@ jobs:
       GPU_ARCH_TYPE: cpu
       SKIP_ALL_TESTS: 1
       DESIRED_PYTHON: "3.10"
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     steps:
       # NOTE: These environment variables are put here so that they can be applied on every job equally
       #       They are also here because setting them at a workflow level doesn't give us access to the
@@ -195,6 +196,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -269,7 +271,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-main
       DESIRED_PYTHON: "3.10"
       build_name: wheel-py3_10-cpu
       use_s3: False
@@ -289,7 +291,7 @@ jobs:
       GPU_ARCH_TYPE: cpu
       SKIP_ALL_TESTS: 1
       DESIRED_PYTHON: "3.11"
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     steps:
       # NOTE: These environment variables are put here so that they can be applied on every job equally
       #       They are also here because setting them at a workflow level doesn't give us access to the
@@ -318,6 +320,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -392,7 +395,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-main
       DESIRED_PYTHON: "3.11"
       build_name: wheel-py3_11-cpu
       use_s3: False
@@ -412,7 +415,7 @@ jobs:
       GPU_ARCH_TYPE: cpu
       SKIP_ALL_TESTS: 1
       DESIRED_PYTHON: "3.12"
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     steps:
       # NOTE: These environment variables are put here so that they can be applied on every job equally
       #       They are also here because setting them at a workflow level doesn't give us access to the
@@ -441,6 +444,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -515,7 +519,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-main
       DESIRED_PYTHON: "3.12"
       build_name: wheel-py3_12-cpu
       use_s3: False
@@ -535,7 +539,7 @@ jobs:
       GPU_ARCH_TYPE: cpu
       SKIP_ALL_TESTS: 1
       DESIRED_PYTHON: "3.13"
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     steps:
       # NOTE: These environment variables are put here so that they can be applied on every job equally
       #       They are also here because setting them at a workflow level doesn't give us access to the
@@ -564,6 +568,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -638,7 +643,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-main
       DESIRED_PYTHON: "3.13"
       build_name: wheel-py3_13-cpu
       use_s3: False
@@ -658,7 +663,7 @@ jobs:
       GPU_ARCH_TYPE: cpu
       SKIP_ALL_TESTS: 1
       DESIRED_PYTHON: "3.13t"
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
+      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'
     steps:
       # NOTE: These environment variables are put here so that they can be applied on every job equally
       #       They are also here because setting them at a workflow level doesn't give us access to the
@@ -687,6 +692,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -761,7 +767,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-2.7
+      DOCKER_IMAGE: pytorch/manylinux2_28-builder:cpu-main
       DESIRED_PYTHON: "3.13t"
       build_name: wheel-py3_13t-cpu
       use_s3: False

.github/workflows/generated-windows-arm64-binary-libtorch-debug-nightly.yml

@@ -1,229 +0,0 @@
-# @generated DO NOT EDIT MANUALLY
-
-# Template is at:    .github/templates/windows_arm64_binary_build_workflow.yml.j2
-# Generation script: .github/scripts/generate_ci_workflows.py
-name: windows-arm64-binary-libtorch-debug
-
-on:
-  push:
-    branches:
-      - nightly
-    tags:
-      # NOTE: Binary build pipelines should only get triggered on release candidate builds
-      # Release candidate tags look like: v1.11.0-rc1
-      - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
-      - 'ciflow/binaries/*'
-      - 'ciflow/binaries_libtorch/*'
-  workflow_dispatch:
-
-env:
-  BUILD_ENVIRONMENT: windows-arm64-binary-libtorch-debug
-  GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-  PR_NUMBER: ${{ github.event.pull_request.number }}
-  SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
-  SKIP_ALL_TESTS: 1
-  PYTORCH_ROOT: /pytorch
-  DOWNLOADS_DIR: c:\temp\downloads
-  DEPENDENCIES_DIR: c:\temp\dependencies
-  ENABLE_APL: 1
-  ENABLE_OPENBLAS: 0
-  MSVC_VERSION : 14.42
-  AWS_DEFAULT_REGION: us-east-1
-
-jobs:
-  get-label-type:
-    if: github.repository_owner == 'pytorch'
-    name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
-    with:
-      triggering_actor: ${{ github.triggering_actor }}
-      issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
-      curr_branch: ${{ github.head_ref || github.ref_name }}
-      curr_ref_type: ${{ github.ref_type }}
-  libtorch-cpu-shared-with-deps-debug-build:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs: get-label-type
-    runs-on: "windows-11-arm64"
-    timeout-minutes: 240
-    env:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      SKIP_ALL_TESTS: 1
-      LIBTORCH_CONFIG: debug
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-    steps:
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: cmd
-        run: |
-          echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
-          echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
-          echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
-      - name: Bootstrap folders
-        shell: cmd
-        run: |
-          mkdir "%NIGHTLIES_PYTORCH_ROOT%"
-          mkdir "%PYTORCH_FINAL_PACKAGE_DIR%"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-      - name: Bootstrap Build Tools
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
-      - name: Bootstrap Git
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
-      - name: Remove Pytorch folder
-        shell: cmd
-        run: |
-          rmdir /s /q "pytorch"
-      - name: Git checkout PyTorch - recursive
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-          submodules: recursive
-      - name: Bootstrap Python
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
-      - name: Bootstrap APL
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
-      - name: Bootstrap Rust
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
-      - name: Bootstrap sccache
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_sccache.bat"
-      - name: Bootstrap Libuv
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_libuv.bat"
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_populate_env.sh"
-      - name: Build PyTorch binary
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_windows_arm64_build.sh"
-      - uses: actions/upload-artifact@v4.4.0
-        if: always()
-        with:
-          name: libtorch-cpu-shared-with-deps-debug
-          retention-days: 14
-          if-no-files-found: error
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-  libtorch-cpu-shared-with-deps-debug-test:  # Testing
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs:
-      - libtorch-cpu-shared-with-deps-debug-build
-      - get-label-type
-    runs-on: "windows-11-arm64"
-    timeout-minutes: 240
-    env:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      SKIP_ALL_TESTS: 1
-      LIBTORCH_CONFIG: debug
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-    steps:
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: cmd
-        run: |
-          echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
-          echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
-          echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
-      - uses: actions/download-artifact@v4.1.7
-        name: Download Build Artifacts
-        with:
-          name: libtorch-cpu-shared-with-deps-debug
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-      - name: Bootstrap Git
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
-      - name: Remove Pytorch folder
-        shell: cmd
-        run: |
-          rmdir /s /q "pytorch"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-          submodules: recursive
-      - name: Bootstrap APL
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
-      - name: Bootstrap Python
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
-      - name: Bootstrap Build Tools
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
-      - name: Bootstrap Rust
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_populate_env.sh"
-      - name: Test PyTorch binary
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_windows_arm64_test.sh"
-  libtorch-cpu-shared-with-deps-debug-upload:  # Uploading
-    if: ${{ github.repository_owner == 'pytorch' }}
-    permissions:
-      id-token: write
-      contents: read
-    needs: libtorch-cpu-shared-with-deps-debug-test
-    with:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      LIBTORCH_CONFIG: debug
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-      build_name: libtorch-cpu-shared-with-deps-debug
-    secrets:
-      github-token: ${{ secrets.GITHUB_TOKEN }}
-    uses: ./.github/workflows/_binary-upload.yml

.github/workflows/generated-windows-arm64-binary-libtorch-release-nightly.yml

@@ -1,229 +0,0 @@
-# @generated DO NOT EDIT MANUALLY
-
-# Template is at:    .github/templates/windows_arm64_binary_build_workflow.yml.j2
-# Generation script: .github/scripts/generate_ci_workflows.py
-name: windows-arm64-binary-libtorch-release
-
-on:
-  push:
-    branches:
-      - nightly
-    tags:
-      # NOTE: Binary build pipelines should only get triggered on release candidate builds
-      # Release candidate tags look like: v1.11.0-rc1
-      - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
-      - 'ciflow/binaries/*'
-      - 'ciflow/binaries_libtorch/*'
-  workflow_dispatch:
-
-env:
-  BUILD_ENVIRONMENT: windows-arm64-binary-libtorch-release
-  GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-  PR_NUMBER: ${{ github.event.pull_request.number }}
-  SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
-  SKIP_ALL_TESTS: 1
-  PYTORCH_ROOT: /pytorch
-  DOWNLOADS_DIR: c:\temp\downloads
-  DEPENDENCIES_DIR: c:\temp\dependencies
-  ENABLE_APL: 1
-  ENABLE_OPENBLAS: 0
-  MSVC_VERSION : 14.42
-  AWS_DEFAULT_REGION: us-east-1
-
-jobs:
-  get-label-type:
-    if: github.repository_owner == 'pytorch'
-    name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
-    with:
-      triggering_actor: ${{ github.triggering_actor }}
-      issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
-      curr_branch: ${{ github.head_ref || github.ref_name }}
-      curr_ref_type: ${{ github.ref_type }}
-  libtorch-cpu-shared-with-deps-release-build:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs: get-label-type
-    runs-on: "windows-11-arm64"
-    timeout-minutes: 240
-    env:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      SKIP_ALL_TESTS: 1
-      LIBTORCH_CONFIG: release
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-    steps:
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: cmd
-        run: |
-          echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
-          echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
-          echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
-      - name: Bootstrap folders
-        shell: cmd
-        run: |
-          mkdir "%NIGHTLIES_PYTORCH_ROOT%"
-          mkdir "%PYTORCH_FINAL_PACKAGE_DIR%"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-      - name: Bootstrap Build Tools
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
-      - name: Bootstrap Git
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
-      - name: Remove Pytorch folder
-        shell: cmd
-        run: |
-          rmdir /s /q "pytorch"
-      - name: Git checkout PyTorch - recursive
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-          submodules: recursive
-      - name: Bootstrap Python
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
-      - name: Bootstrap APL
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
-      - name: Bootstrap Rust
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
-      - name: Bootstrap sccache
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_sccache.bat"
-      - name: Bootstrap Libuv
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_libuv.bat"
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_populate_env.sh"
-      - name: Build PyTorch binary
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_windows_arm64_build.sh"
-      - uses: actions/upload-artifact@v4.4.0
-        if: always()
-        with:
-          name: libtorch-cpu-shared-with-deps-release
-          retention-days: 14
-          if-no-files-found: error
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-  libtorch-cpu-shared-with-deps-release-test:  # Testing
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs:
-      - libtorch-cpu-shared-with-deps-release-build
-      - get-label-type
-    runs-on: "windows-11-arm64"
-    timeout-minutes: 240
-    env:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      SKIP_ALL_TESTS: 1
-      LIBTORCH_CONFIG: release
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-    steps:
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: cmd
-        run: |
-          echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
-          echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
-          echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
-      - uses: actions/download-artifact@v4.1.7
-        name: Download Build Artifacts
-        with:
-          name: libtorch-cpu-shared-with-deps-release
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-      - name: Bootstrap Git
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
-      - name: Remove Pytorch folder
-        shell: cmd
-        run: |
-          rmdir /s /q "pytorch"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-          submodules: recursive
-      - name: Bootstrap APL
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
-      - name: Bootstrap Python
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
-      - name: Bootstrap Build Tools
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
-      - name: Bootstrap Rust
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_populate_env.sh"
-      - name: Test PyTorch binary
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_windows_arm64_test.sh"
-  libtorch-cpu-shared-with-deps-release-upload:  # Uploading
-    if: ${{ github.repository_owner == 'pytorch' }}
-    permissions:
-      id-token: write
-      contents: read
-    needs: libtorch-cpu-shared-with-deps-release-test
-    with:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      LIBTORCH_CONFIG: release
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-      build_name: libtorch-cpu-shared-with-deps-release
-    secrets:
-      github-token: ${{ secrets.GITHUB_TOKEN }}
-    uses: ./.github/workflows/_binary-upload.yml

.github/workflows/generated-windows-arm64-binary-wheel-nightly.yml

@@ -1,218 +0,0 @@
-# @generated DO NOT EDIT MANUALLY
-
-# Template is at:    .github/templates/windows_arm64_binary_build_workflow.yml.j2
-# Generation script: .github/scripts/generate_ci_workflows.py
-name: windows-arm64-binary-wheel
-
-on:
-  push:
-    branches:
-      - nightly
-    tags:
-      # NOTE: Binary build pipelines should only get triggered on release candidate builds
-      # Release candidate tags look like: v1.11.0-rc1
-      - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
-      - 'ciflow/binaries/*'
-      - 'ciflow/binaries_wheel/*'
-  workflow_dispatch:
-
-env:
-  BUILD_ENVIRONMENT: windows-arm64-binary-wheel
-  GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-  PR_NUMBER: ${{ github.event.pull_request.number }}
-  SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
-  SKIP_ALL_TESTS: 1
-  PYTORCH_ROOT: /pytorch
-  DOWNLOADS_DIR: c:\temp\downloads
-  DEPENDENCIES_DIR: c:\temp\dependencies
-  ENABLE_APL: 1
-  ENABLE_OPENBLAS: 0
-  MSVC_VERSION : 14.42
-  AWS_DEFAULT_REGION: us-east-1
-
-jobs:
-  get-label-type:
-    if: github.repository_owner == 'pytorch'
-    name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
-    with:
-      triggering_actor: ${{ github.triggering_actor }}
-      issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
-      curr_branch: ${{ github.head_ref || github.ref_name }}
-      curr_ref_type: ${{ github.ref_type }}
-  wheel-py3_12-cpu-build:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs: get-label-type
-    runs-on: "windows-11-arm64"
-    timeout-minutes: 240
-    env:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: wheel
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      SKIP_ALL_TESTS: 1
-      DESIRED_PYTHON: "3.12"
-      PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'
-    steps:
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: cmd
-        run: |
-          echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
-          echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
-          echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
-      - name: Bootstrap folders
-        shell: cmd
-        run: |
-          mkdir "%NIGHTLIES_PYTORCH_ROOT%"
-          mkdir "%PYTORCH_FINAL_PACKAGE_DIR%"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-      - name: Bootstrap Build Tools
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
-      - name: Bootstrap Git
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
-      - name: Remove Pytorch folder
-        shell: cmd
-        run: |
-          rmdir /s /q "pytorch"
-      - name: Git checkout PyTorch - recursive
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-          submodules: recursive
-      - name: Bootstrap Python
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
-      - name: Bootstrap APL
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
-      - name: Bootstrap Rust
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
-      - name: Bootstrap sccache
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_sccache.bat"
-      - name: Bootstrap Libuv
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_libuv.bat"
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_populate_env.sh"
-      - name: Build PyTorch binary
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_windows_arm64_build.sh"
-      - uses: actions/upload-artifact@v4.4.0
-        if: always()
-        with:
-          name: wheel-py3_12-cpu
-          retention-days: 14
-          if-no-files-found: error
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-  wheel-py3_12-cpu-test:  # Testing
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs:
-      - wheel-py3_12-cpu-build
-      - get-label-type
-    runs-on: "windows-11-arm64"
-    timeout-minutes: 240
-    env:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: wheel
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      SKIP_ALL_TESTS: 1
-      DESIRED_PYTHON: "3.12"
-    steps:
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: cmd
-        run: |
-          echo BINARY_ENV_FILE=%RUNNER_TEMP%/env>> %GITHUB_ENV%
-          echo PYTORCH_FINAL_PACKAGE_DIR=%RUNNER_TEMP%/artifacts>> %GITHUB_ENV%
-          echo WIN_PACKAGE_WORK_DIR=%RUNNER_TEMP%>> %GITHUB_ENV%
-      - uses: actions/download-artifact@v4.1.7
-        name: Download Build Artifacts
-        with:
-          name: wheel-py3_12-cpu
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-      - name: Bootstrap Git
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_git.bat"
-      - name: Remove Pytorch folder
-        shell: cmd
-        run: |
-          rmdir /s /q "pytorch"
-      - name: Git checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          path: "pytorch"
-          submodules: recursive
-      - name: Bootstrap APL
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_apl.bat"
-      - name: Bootstrap Python
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_python.bat"
-      - name: Bootstrap Build Tools
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_buildtools.bat"
-      - name: Bootstrap Rust
-        shell: cmd
-        run: |
-          "pytorch/.ci/pytorch/windows/arm64/bootstrap_rust.bat"
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_populate_env.sh"
-      - name: Test PyTorch binary
-        shell: bash
-        run: |
-          "pytorch/.circleci/scripts/binary_windows_arm64_test.sh"
-  wheel-py3_12-cpu-upload:  # Uploading
-    if: ${{ github.repository_owner == 'pytorch' }}
-    permissions:
-      id-token: write
-      contents: read
-    needs: wheel-py3_12-cpu-test
-    with:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: wheel
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cpu
-      GPU_ARCH_TYPE: cpu
-      DESIRED_PYTHON: "3.12"
-      build_name: wheel-py3_12-cpu
-    secrets:
-      github-token: ${{ secrets.GITHUB_TOKEN }}
-    uses: ./.github/workflows/_binary-upload.yml

.github/workflows/generated-windows-binary-libtorch-debug-main.yml

@@ -27,7 +27,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -37,7 +37,7 @@ jobs:
     if: ${{ github.repository_owner == 'pytorch' }}
     needs: get-label-type
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
-    timeout-minutes: 300
+    timeout-minutes: 240
     env:
       PYTORCH_ROOT: ${{ github.workspace }}/pytorch
       PACKAGE_TYPE: libtorch
@@ -67,7 +67,7 @@ jobs:
           echo "instance-type: $(get_ec2_metadata instance-type)"
           echo "system info $(uname -a)"
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -108,6 +108,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -150,7 +151,7 @@ jobs:
       - libtorch-cpu-shared-with-deps-debug-build
       - get-label-type
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
-    timeout-minutes: 300
+    timeout-minutes: 240
     env:
       PYTORCH_ROOT: ${{ github.workspace }}/pytorch
       PACKAGE_TYPE: libtorch
@@ -180,7 +181,7 @@ jobs:
           echo "instance-type: $(get_ec2_metadata instance-type)"
           echo "system info $(uname -a)"
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -226,6 +227,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false

.github/workflows/generated-windows-binary-libtorch-debug-nightly.yml

@@ -34,7 +34,7 @@ jobs:
   get-label-type:
     if: github.repository_owner == 'pytorch'
     name: get-label-type
-    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@release/2.7
+    uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
     with:
       triggering_actor: ${{ github.triggering_actor }}
       issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
@@ -44,7 +44,7 @@ jobs:
     if: ${{ github.repository_owner == 'pytorch' }}
     needs: get-label-type
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
-    timeout-minutes: 300
+    timeout-minutes: 240
     env:
       PYTORCH_ROOT: ${{ github.workspace }}/pytorch
       PACKAGE_TYPE: libtorch
@@ -74,7 +74,7 @@ jobs:
           echo "instance-type: $(get_ec2_metadata instance-type)"
           echo "system info $(uname -a)"
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -115,6 +115,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -156,8 +157,8 @@ jobs:
     needs:
       - libtorch-cpu-shared-with-deps-debug-build
       - get-label-type
-    runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
-    timeout-minutes: 300
+    runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
+    timeout-minutes: 240
     env:
       PYTORCH_ROOT: ${{ github.workspace }}/pytorch
       PACKAGE_TYPE: libtorch
@@ -187,7 +188,7 @@ jobs:
           echo "instance-type: $(get_ec2_metadata instance-type)"
           echo "system info $(uname -a)"
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -233,6 +234,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -288,7 +290,7 @@ jobs:
     if: ${{ github.repository_owner == 'pytorch' }}
     needs: get-label-type
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
-    timeout-minutes: 300
+    timeout-minutes: 240
     env:
       PYTORCH_ROOT: ${{ github.workspace }}/pytorch
       PACKAGE_TYPE: libtorch
@@ -319,7 +321,7 @@ jobs:
           echo "instance-type: $(get_ec2_metadata instance-type)"
           echo "system info $(uname -a)"
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -360,6 +362,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -402,7 +405,7 @@ jobs:
       - libtorch-cuda11_8-shared-with-deps-debug-build
       - get-label-type
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.g4dn.xlarge"
-    timeout-minutes: 300
+    timeout-minutes: 240
     env:
       PYTORCH_ROOT: ${{ github.workspace }}/pytorch
       PACKAGE_TYPE: libtorch
@@ -433,7 +436,7 @@ jobs:
           echo "instance-type: $(get_ec2_metadata instance-type)"
           echo "system info $(uname -a)"
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -479,6 +482,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -531,18 +535,18 @@ jobs:
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
-  libtorch-cuda12_6-shared-with-deps-debug-build:
+  libtorch-cuda12_4-shared-with-deps-debug-build:
     if: ${{ github.repository_owner == 'pytorch' }}
     needs: get-label-type
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
-    timeout-minutes: 300
+    timeout-minutes: 240
     env:
       PYTORCH_ROOT: ${{ github.workspace }}/pytorch
       PACKAGE_TYPE: libtorch
       # TODO: This is a legacy variable that we eventually want to get rid of in
       #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cu126
-      GPU_ARCH_VERSION: 12.6
+      DESIRED_CUDA: cu124
+      GPU_ARCH_VERSION: 12.4
       GPU_ARCH_TYPE: cuda
       SKIP_ALL_TESTS: 1
       LIBTORCH_CONFIG: debug
@@ -566,7 +570,7 @@ jobs:
           echo "instance-type: $(get_ec2_metadata instance-type)"
           echo "system info $(uname -a)"
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -607,6 +611,256 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+          submodules: recursive
+          path: pytorch
+          show-progress: false
+      - name: Clean PyTorch checkout
+        run: |
+          # Remove any artifacts from the previous checkouts
+          git clean -fxd
+        working-directory: pytorch
+      - name: Populate binary env
+        shell: bash
+        run: |
+          "${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
+      - name: Build PyTorch binary
+        shell: bash
+        run: |
+          "${PYTORCH_ROOT}/.circleci/scripts/binary_windows_build.sh"
+      - uses: actions/upload-artifact@v4.4.0
+        if: always()
+        with:
+          name: libtorch-cuda12_4-shared-with-deps-debug
+          retention-days: 14
+          if-no-files-found: error
+          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
+      - name: Wait until all sessions have drained
+        shell: powershell
+        working-directory: pytorch
+        if: always()
+        timeout-minutes: 120
+        run: |
+          .github\scripts\wait_for_ssh_to_drain.ps1
+      - name: Kill active ssh sessions if still around (Useful if workflow was cancelled)
+        shell: powershell
+        working-directory: pytorch
+        if: always()
+        run: |
+          .github\scripts\kill_active_ssh_sessions.ps1
+  libtorch-cuda12_4-shared-with-deps-debug-test:  # Testing
+    if: ${{ github.repository_owner == 'pytorch' }}
+    needs:
+      - libtorch-cuda12_4-shared-with-deps-debug-build
+      - get-label-type
+    runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.g4dn.xlarge"
+    timeout-minutes: 240
+    env:
+      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
+      PACKAGE_TYPE: libtorch
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu124
+      GPU_ARCH_VERSION: 12.4
+      GPU_ARCH_TYPE: cuda
+      SKIP_ALL_TESTS: 1
+      LIBTORCH_CONFIG: debug
+      LIBTORCH_VARIANT: shared-with-deps
+      # This is a dummy value for libtorch to work correctly with our batch scripts
+      # without this value pip does not get installed for some reason
+      DESIRED_PYTHON: "3.9"
+    steps:
+      - name: Display EC2 information
+        shell: bash
+        run: |
+          set -euo pipefail
+          function get_ec2_metadata() {
+            # Pulled from instance metadata endpoint for EC2
+            # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
+            category=$1
+            curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
+          }
+          echo "ami-id: $(get_ec2_metadata ami-id)"
+          echo "instance-id: $(get_ec2_metadata instance-id)"
+          echo "instance-type: $(get_ec2_metadata instance-type)"
+          echo "system info $(uname -a)"
+      - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        continue-on-error: true
+        with:
+          github-secret: ${{ secrets.GITHUB_TOKEN }}
+      - name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
+        shell: bash
+        run: |
+          git config --global core.longpaths true
+          git config --global core.symlinks true
+
+          # https://git-scm.com/docs/git-fsmonitor--daemon.  The daemon could lock
+          # the directory on Windows and prevent GHA from checking out as reported
+          # in https://github.com/actions/checkout/issues/1018
+          git config --global core.fsmonitor false
+      # Needed for binary builds, see: https://github.com/pytorch/pytorch/issues/73339#issuecomment-1058981560
+      - name: Enable long paths on Windows
+        shell: powershell
+        run: |
+          Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
+      # Since it's just a defensive command, the workflow should continue even the command fails. This step can be
+      # removed once Windows Defender is removed from the AMI
+      - name: Disables Windows Defender scheduled and real-time scanning for files in directories used by PyTorch
+        continue-on-error: true
+        shell: powershell
+        run: |
+          Add-MpPreference -ExclusionPath $(Get-Location).tostring(),$Env:TEMP -ErrorAction Ignore
+          # Let's both exclude the path and disable Windows Defender completely just to be sure
+          # that it doesn't interfere
+          Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
+      # NOTE: These environment variables are put here so that they can be applied on every job equally
+      #       They are also here because setting them at a workflow level doesn't give us access to the
+      #       runner.temp variable, which we need.
+      - name: Populate binary env
+        shell: bash
+        run: |
+          echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
+          echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
+          echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
+      - uses: actions/download-artifact@v4.1.7
+        name: Download Build Artifacts
+        with:
+          name: libtorch-cuda12_4-shared-with-deps-debug
+          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
+      - name: Checkout PyTorch
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+          submodules: recursive
+          path: pytorch
+          show-progress: false
+      - name: Clean PyTorch checkout
+        run: |
+          # Remove any artifacts from the previous checkouts
+          git clean -fxd
+        working-directory: pytorch
+      - name: Populate binary env
+        shell: bash
+        run: |
+          "${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
+      - name: Test PyTorch binary
+        shell: bash
+        run: |
+          "${PYTORCH_ROOT}/.circleci/scripts/binary_windows_test.sh"
+      - name: Wait until all sessions have drained
+        shell: powershell
+        working-directory: pytorch
+        if: always()
+        timeout-minutes: 120
+        run: |
+          .github\scripts\wait_for_ssh_to_drain.ps1
+      - name: Kill active ssh sessions if still around (Useful if workflow was cancelled)
+        shell: powershell
+        working-directory: pytorch
+        if: always()
+        run: |
+          .github\scripts\kill_active_ssh_sessions.ps1
+  libtorch-cuda12_4-shared-with-deps-debug-upload:  # Uploading
+    if: ${{ github.repository_owner == 'pytorch' }}
+    permissions:
+      id-token: write
+      contents: read
+    needs: libtorch-cuda12_4-shared-with-deps-debug-test
+    with:
+      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
+      PACKAGE_TYPE: libtorch
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu124
+      GPU_ARCH_VERSION: 12.4
+      GPU_ARCH_TYPE: cuda
+      LIBTORCH_CONFIG: debug
+      LIBTORCH_VARIANT: shared-with-deps
+      # This is a dummy value for libtorch to work correctly with our batch scripts
+      # without this value pip does not get installed for some reason
+      DESIRED_PYTHON: "3.9"
+      build_name: libtorch-cuda12_4-shared-with-deps-debug
+    secrets:
+      github-token: ${{ secrets.GITHUB_TOKEN }}
+    uses: ./.github/workflows/_binary-upload.yml
+  libtorch-cuda12_6-shared-with-deps-debug-build:
+    if: ${{ github.repository_owner == 'pytorch' }}
+    needs: get-label-type
+    runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
+    timeout-minutes: 240
+    env:
+      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
+      PACKAGE_TYPE: libtorch
+      # TODO: This is a legacy variable that we eventually want to get rid of in
+      #       favor of GPU_ARCH_VERSION
+      DESIRED_CUDA: cu126
+      GPU_ARCH_VERSION: 12.6
+      GPU_ARCH_TYPE: cuda
+      SKIP_ALL_TESTS: 1
+      LIBTORCH_CONFIG: debug
+      LIBTORCH_VARIANT: shared-with-deps
+      # This is a dummy value for libtorch to work correctly with our batch scripts
+      # without this value pip does not get installed for some reason
+      DESIRED_PYTHON: "3.9"
+    steps:
+      - name: Display EC2 information
+        shell: bash
+        run: |
+          set -euo pipefail
+          function get_ec2_metadata() {
+            # Pulled from instance metadata endpoint for EC2
+            # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
+            category=$1
+            curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
+          }
+          echo "ami-id: $(get_ec2_metadata ami-id)"
+          echo "instance-id: $(get_ec2_metadata instance-id)"
+          echo "instance-type: $(get_ec2_metadata instance-type)"
+          echo "system info $(uname -a)"
+      - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        continue-on-error: true
+        with:
+          github-secret: ${{ secrets.GITHUB_TOKEN }}
+      - name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
+        shell: bash
+        run: |
+          git config --global core.longpaths true
+          git config --global core.symlinks true
+
+          # https://git-scm.com/docs/git-fsmonitor--daemon.  The daemon could lock
+          # the directory on Windows and prevent GHA from checking out as reported
+          # in https://github.com/actions/checkout/issues/1018
+          git config --global core.fsmonitor false
+      # Needed for binary builds, see: https://github.com/pytorch/pytorch/issues/73339#issuecomment-1058981560
+      - name: Enable long paths on Windows
+        shell: powershell
+        run: |
+          Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
+      # Since it's just a defensive command, the workflow should continue even the command fails. This step can be
+      # removed once Windows Defender is removed from the AMI
+      - name: Disables Windows Defender scheduled and real-time scanning for files in directories used by PyTorch
+        continue-on-error: true
+        shell: powershell
+        run: |
+          Add-MpPreference -ExclusionPath $(Get-Location).tostring(),$Env:TEMP -ErrorAction Ignore
+          # Let's both exclude the path and disable Windows Defender completely just to be sure
+          # that it doesn't interfere
+          Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
+      # NOTE: These environment variables are put here so that they can be applied on every job equally
+      #       They are also here because setting them at a workflow level doesn't give us access to the
+      #       runner.temp variable, which we need.
+      - name: Populate binary env
+        shell: bash
+        run: |
+          echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
+          echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
+          echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
+      - name: Checkout PyTorch
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -649,7 +903,7 @@ jobs:
       - libtorch-cuda12_6-shared-with-deps-debug-build
       - get-label-type
     runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.g4dn.xlarge"
-    timeout-minutes: 300
+    timeout-minutes: 240
     env:
       PYTORCH_ROOT: ${{ github.workspace }}/pytorch
       PACKAGE_TYPE: libtorch
@@ -680,7 +934,7 @@ jobs:
           echo "instance-type: $(get_ec2_metadata instance-type)"
           echo "system info $(uname -a)"
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
+        uses: pytorch/test-infra/.github/actions/setup-ssh@main
         continue-on-error: true
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -726,6 +980,7 @@ jobs:
       - name: Checkout PyTorch
         uses: actions/checkout@v4
         with:
+          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           show-progress: false
@@ -778,250 +1033,3 @@ jobs:
     secrets:
       github-token: ${{ secrets.GITHUB_TOKEN }}
     uses: ./.github/workflows/_binary-upload.yml
-  libtorch-cuda12_8-shared-with-deps-debug-build:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs: get-label-type
-    runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge"
-    timeout-minutes: 300
-    env:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cu128
-      GPU_ARCH_VERSION: 12.8
-      GPU_ARCH_TYPE: cuda
-      SKIP_ALL_TESTS: 1
-      LIBTORCH_CONFIG: debug
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-    steps:
-      - name: Display EC2 information
-        shell: bash
-        run: |
-          set -euo pipefail
-          function get_ec2_metadata() {
-            # Pulled from instance metadata endpoint for EC2
-            # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
-            category=$1
-            curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
-          }
-          echo "ami-id: $(get_ec2_metadata ami-id)"
-          echo "instance-id: $(get_ec2_metadata instance-id)"
-          echo "instance-type: $(get_ec2_metadata instance-type)"
-          echo "system info $(uname -a)"
-      - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
-        continue-on-error: true
-        with:
-          github-secret: ${{ secrets.GITHUB_TOKEN }}
-      - name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
-        shell: bash
-        run: |
-          git config --global core.longpaths true
-          git config --global core.symlinks true
-
-          # https://git-scm.com/docs/git-fsmonitor--daemon.  The daemon could lock
-          # the directory on Windows and prevent GHA from checking out as reported
-          # in https://github.com/actions/checkout/issues/1018
-          git config --global core.fsmonitor false
-      # Needed for binary builds, see: https://github.com/pytorch/pytorch/issues/73339#issuecomment-1058981560
-      - name: Enable long paths on Windows
-        shell: powershell
-        run: |
-          Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
-      # Since it's just a defensive command, the workflow should continue even the command fails. This step can be
-      # removed once Windows Defender is removed from the AMI
-      - name: Disables Windows Defender scheduled and real-time scanning for files in directories used by PyTorch
-        continue-on-error: true
-        shell: powershell
-        run: |
-          Add-MpPreference -ExclusionPath $(Get-Location).tostring(),$Env:TEMP -ErrorAction Ignore
-          # Let's both exclude the path and disable Windows Defender completely just to be sure
-          # that it doesn't interfere
-          Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: bash
-        run: |
-          echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
-          echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
-          echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
-      - name: Checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          submodules: recursive
-          path: pytorch
-          show-progress: false
-      - name: Clean PyTorch checkout
-        run: |
-          # Remove any artifacts from the previous checkouts
-          git clean -fxd
-        working-directory: pytorch
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
-      - name: Build PyTorch binary
-        shell: bash
-        run: |
-          "${PYTORCH_ROOT}/.circleci/scripts/binary_windows_build.sh"
-      - uses: actions/upload-artifact@v4.4.0
-        if: always()
-        with:
-          name: libtorch-cuda12_8-shared-with-deps-debug
-          retention-days: 14
-          if-no-files-found: error
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-      - name: Wait until all sessions have drained
-        shell: powershell
-        working-directory: pytorch
-        if: always()
-        timeout-minutes: 120
-        run: |
-          .github\scripts\wait_for_ssh_to_drain.ps1
-      - name: Kill active ssh sessions if still around (Useful if workflow was cancelled)
-        shell: powershell
-        working-directory: pytorch
-        if: always()
-        run: |
-          .github\scripts\kill_active_ssh_sessions.ps1
-  libtorch-cuda12_8-shared-with-deps-debug-test:  # Testing
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs:
-      - libtorch-cuda12_8-shared-with-deps-debug-build
-      - get-label-type
-    runs-on: "${{ needs.get-label-type.outputs.label-type }}windows.g4dn.xlarge"
-    timeout-minutes: 300
-    env:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cu128
-      GPU_ARCH_VERSION: 12.8
-      GPU_ARCH_TYPE: cuda
-      SKIP_ALL_TESTS: 1
-      LIBTORCH_CONFIG: debug
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-    steps:
-      - name: Display EC2 information
-        shell: bash
-        run: |
-          set -euo pipefail
-          function get_ec2_metadata() {
-            # Pulled from instance metadata endpoint for EC2
-            # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
-            category=$1
-            curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
-          }
-          echo "ami-id: $(get_ec2_metadata ami-id)"
-          echo "instance-id: $(get_ec2_metadata instance-id)"
-          echo "instance-type: $(get_ec2_metadata instance-type)"
-          echo "system info $(uname -a)"
-      - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.7
-        continue-on-error: true
-        with:
-          github-secret: ${{ secrets.GITHUB_TOKEN }}
-      - name: Enable git long paths and symlinks on Windows and disable fsmonitor daemon
-        shell: bash
-        run: |
-          git config --global core.longpaths true
-          git config --global core.symlinks true
-
-          # https://git-scm.com/docs/git-fsmonitor--daemon.  The daemon could lock
-          # the directory on Windows and prevent GHA from checking out as reported
-          # in https://github.com/actions/checkout/issues/1018
-          git config --global core.fsmonitor false
-      # Needed for binary builds, see: https://github.com/pytorch/pytorch/issues/73339#issuecomment-1058981560
-      - name: Enable long paths on Windows
-        shell: powershell
-        run: |
-          Set-ItemProperty -Path "HKLM:\\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -Value 1
-      # Since it's just a defensive command, the workflow should continue even the command fails. This step can be
-      # removed once Windows Defender is removed from the AMI
-      - name: Disables Windows Defender scheduled and real-time scanning for files in directories used by PyTorch
-        continue-on-error: true
-        shell: powershell
-        run: |
-          Add-MpPreference -ExclusionPath $(Get-Location).tostring(),$Env:TEMP -ErrorAction Ignore
-          # Let's both exclude the path and disable Windows Defender completely just to be sure
-          # that it doesn't interfere
-          Set-MpPreference -DisableRealtimeMonitoring $True -ErrorAction Ignore
-      # NOTE: These environment variables are put here so that they can be applied on every job equally
-      #       They are also here because setting them at a workflow level doesn't give us access to the
-      #       runner.temp variable, which we need.
-      - name: Populate binary env
-        shell: bash
-        run: |
-          echo "BINARY_ENV_FILE=${RUNNER_TEMP}/env" >> "${GITHUB_ENV}"
-          echo "PYTORCH_FINAL_PACKAGE_DIR=${RUNNER_TEMP}/artifacts" >> "${GITHUB_ENV}"
-          echo "WIN_PACKAGE_WORK_DIR=${RUNNER_TEMP}"
-      - uses: actions/download-artifact@v4.1.7
-        name: Download Build Artifacts
-        with:
-          name: libtorch-cuda12_8-shared-with-deps-debug
-          path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-      - name: Checkout PyTorch
-        uses: actions/checkout@v4
-        with:
-          submodules: recursive
-          path: pytorch
-          show-progress: false
-      - name: Clean PyTorch checkout
-        run: |
-          # Remove any artifacts from the previous checkouts
-          git clean -fxd
-        working-directory: pytorch
-      - name: Populate binary env
-        shell: bash
-        run: |
-          "${PYTORCH_ROOT}/.circleci/scripts/binary_populate_env.sh"
-      - name: Test PyTorch binary
-        shell: bash
-        run: |
-          "${PYTORCH_ROOT}/.circleci/scripts/binary_windows_test.sh"
-      - name: Wait until all sessions have drained
-        shell: powershell
-        working-directory: pytorch
-        if: always()
-        timeout-minutes: 120
-        run: |
-          .github\scripts\wait_for_ssh_to_drain.ps1
-      - name: Kill active ssh sessions if still around (Useful if workflow was cancelled)
-        shell: powershell
-        working-directory: pytorch
-        if: always()
-        run: |
-          .github\scripts\kill_active_ssh_sessions.ps1
-  libtorch-cuda12_8-shared-with-deps-debug-upload:  # Uploading
-    if: ${{ github.repository_owner == 'pytorch' }}
-    permissions:
-      id-token: write
-      contents: read
-    needs: libtorch-cuda12_8-shared-with-deps-debug-test
-    with:
-      PYTORCH_ROOT: ${{ github.workspace }}/pytorch
-      PACKAGE_TYPE: libtorch
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: cu128
-      GPU_ARCH_VERSION: 12.8
-      GPU_ARCH_TYPE: cuda
-      LIBTORCH_CONFIG: debug
-      LIBTORCH_VARIANT: shared-with-deps
-      # This is a dummy value for libtorch to work correctly with our batch scripts
-      # without this value pip does not get installed for some reason
-      DESIRED_PYTHON: "3.9"
-      build_name: libtorch-cuda12_8-shared-with-deps-debug
-    secrets:
-      github-token: ${{ secrets.GITHUB_TOKEN }}
-    uses: ./.github/workflows/_binary-upload.yml