set thread_work_size to 4 for unrolled kernel (#154541)

set thread_work_size to 4 for unrolled kernel (#152396)

Previous PRs enabling 8-vectorization inadvertently regressed unrolled kernel perf.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/152396
Approved by: https://github.com/BoyuanFeng, https://github.com/msaroufim, https://github.com/malfet, https://github.com/Aidyn-A, https://github.com/atalman

(cherry picked from commit adebb8b11226316d45ce114beb7ac239d0f3abdd)

Co-authored-by: Natalia Gimelshein <ngimel@meta.com>

.ci/aarch64_linux/aarch64_wheel_ci_build.py

@@ -55,9 +55,22 @@ def build_ArmComputeLibrary() -> None:
         shutil.copytree(f"{acl_checkout_dir}/{d}", f"{acl_install_dir}/{d}")
 
 
-def update_wheel(wheel_path, desired_cuda) -> None:
+def replace_tag(filename) -> None:
+    with open(filename) as f:
+        lines = f.readlines()
+    for i, line in enumerate(lines):
+        if line.startswith("Tag:"):
+            lines[i] = line.replace("-linux_", "-manylinux_2_28_")
+            print(f"Updated tag from {line} to {lines[i]}")
+            break
+
+    with open(filename, "w") as f:
+        f.writelines(lines)
+
+
+def package_cuda_wheel(wheel_path, desired_cuda) -> None:
     """
-    Update the cuda wheel libraries
+    Package the cuda wheel libraries
     """
     folder = os.path.dirname(wheel_path)
     wheelname = os.path.basename(wheel_path)
@@ -88,30 +101,19 @@ def update_wheel(wheel_path, desired_cuda) -> None:
         "/usr/lib64/libgfortran.so.5",
         "/acl/build/libarm_compute.so",
         "/acl/build/libarm_compute_graph.so",
+        "/usr/local/lib/libnvpl_lapack_lp64_gomp.so.0",
+        "/usr/local/lib/libnvpl_blas_lp64_gomp.so.0",
+        "/usr/local/lib/libnvpl_lapack_core.so.0",
+        "/usr/local/lib/libnvpl_blas_core.so.0",
     ]
-    if enable_cuda:
+
+    if "128" in desired_cuda:
         libs_to_copy += [
-            "/usr/local/lib/libnvpl_lapack_lp64_gomp.so.0",
-            "/usr/local/lib/libnvpl_blas_lp64_gomp.so.0",
-            "/usr/local/lib/libnvpl_lapack_core.so.0",
-            "/usr/local/lib/libnvpl_blas_core.so.0",
-        ]
-        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 += [
-            "/opt/OpenBLAS/lib/libopenblas.so.0",
+            "/usr/local/cuda/lib64/libnvrtc-builtins.so.12.8",
+            "/usr/local/cuda/lib64/libcufile.so.0",
+            "/usr/local/cuda/lib64/libcufile_rdma.so.1",
         ]
+
     # Copy libraries to unzipped_folder/a/lib
     for lib_path in libs_to_copy:
         lib_name = os.path.basename(lib_path)
@@ -120,6 +122,13 @@ def update_wheel(wheel_path, desired_cuda) -> None:
             f"cd {folder}/tmp/torch/lib/; "
             f"patchelf --set-rpath '$ORIGIN' --force-rpath {folder}/tmp/torch/lib/{lib_name}"
         )
+
+    # Make sure the wheel is tagged with manylinux_2_28
+    for f in os.scandir(f"{folder}/tmp/"):
+        if f.is_dir() and f.name.endswith(".dist-info"):
+            replace_tag(f"{f.path}/WHEEL")
+            break
+
     os.mkdir(f"{folder}/cuda_wheel")
     os.system(f"cd {folder}/tmp/; zip -r {folder}/cuda_wheel/{wheelname} *")
     shutil.move(
@@ -242,6 +251,6 @@ if __name__ == "__main__":
         print("Updating Cuda Dependency")
         filename = os.listdir("/pytorch/dist/")
         wheel_path = f"/pytorch/dist/{filename[0]}"
-        update_wheel(wheel_path, desired_cuda)
+        package_cuda_wheel(wheel_path, desired_cuda)
     pytorch_wheel_name = complete_wheel("/pytorch/")
     print(f"Build Complete. Created {pytorch_wheel_name}..")

.ci/aarch64_linux/build_aarch64_wheel.py

@@ -19,11 +19,13 @@ import boto3
 
 # AMI images for us-east-1, change the following based on your ~/.aws/config
 os_amis = {
+    "ubuntu18_04": "ami-078eece1d8119409f",  # login_name: ubuntu
     "ubuntu20_04": "ami-052eac90edaa9d08f",  # login_name: ubuntu
     "ubuntu22_04": "ami-0c6c29c5125214c77",  # login_name: ubuntu
     "redhat8": "ami-0698b90665a2ddcf1",  # login_name: ec2-user
 }
 
+ubuntu18_04_ami = os_amis["ubuntu18_04"]
 ubuntu20_04_ami = os_amis["ubuntu20_04"]
 
 
@@ -657,6 +659,18 @@ def configure_system(
             "sudo apt-get install -y python3-dev python3-yaml python3-setuptools python3-wheel python3-pip"
         )
     host.run_cmd("pip3 install dataclasses typing-extensions")
+    # Install and switch to gcc-8 on Ubuntu-18.04
+    if not host.using_docker() and host.ami == ubuntu18_04_ami and compiler == "gcc-8":
+        host.run_cmd("sudo apt-get install -y g++-8 gfortran-8")
+        host.run_cmd(
+            "sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 100"
+        )
+        host.run_cmd(
+            "sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-8 100"
+        )
+        host.run_cmd(
+            "sudo update-alternatives --install /usr/bin/gfortran gfortran /usr/bin/gfortran-8 100"
+        )
     if not use_conda:
         print("Installing Cython + numpy from PyPy")
         host.run_cmd("sudo pip3 install Cython")
@@ -1012,7 +1026,7 @@ if __name__ == "__main__":
         install_condaforge_python(host, args.python_version)
         sys.exit(0)
 
-    python_version = args.python_version if args.python_version is not None else "3.9"
+    python_version = args.python_version if args.python_version is not None else "3.8"
 
     if args.use_torch_from_pypi:
         configure_system(host, compiler=args.compiler, python_version=python_version)

.ci/caffe2/test.sh

@@ -13,6 +13,10 @@ if [[ "${BUILD_ENVIRONMENT}" == *-android* ]]; then
   echo 'Skipping tests'
   exit 0
 fi
+if [[ "${BUILD_ENVIRONMENT}" == *-rocm* ]]; then
+  # temporary to locate some kernel issues on the CI nodes
+  export HSAKMT_DEBUG_LEVEL=4
+fi
 # These additional packages are needed for circleci ROCm builds.
 if [[ $BUILD_ENVIRONMENT == *rocm* ]]; then
     # Need networkx 2.0 because bellmand_ford was moved in 2.1 . Scikit-image by

.ci/docker/README.md

@@ -34,5 +34,5 @@ See `build.sh` for valid build environments (it's the giant switch).
 ./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
 
 # Set flags (see build.sh) and build image
-sudo bash -c 'TRITON=1 ./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
+sudo bash -c 'PROTOBUF=1 ./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
 ```

.ci/docker/almalinux/Dockerfile

@@ -1,6 +1,5 @@
 ARG CUDA_VERSION=12.4
 ARG BASE_TARGET=cuda${CUDA_VERSION}
-ARG ROCM_IMAGE=rocm/dev-almalinux-8:6.3-complete
 FROM amd64/almalinux:8 as base
 
 ENV LC_ALL en_US.UTF-8
@@ -9,6 +8,10 @@ ENV LANGUAGE en_US.UTF-8
 
 ARG DEVTOOLSET_VERSION=11
 
+ENV LC_ALL en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US.UTF-8
+
 RUN yum -y update
 RUN yum -y install epel-release
 RUN yum install -y sudo wget curl perl util-linux xz bzip2 git patch which perl zlib-devel openssl-devel yum-utils autoconf automake make gcc-toolset-${DEVTOOLSET_VERSION}-toolchain
@@ -38,12 +41,9 @@ RUN bash ./install_conda.sh && rm install_conda.sh
 
 # Install CUDA
 FROM base as cuda
-ARG CUDA_VERSION=12.6
+ARG CUDA_VERSION=12.4
 RUN rm -rf /usr/local/cuda-*
 ADD ./common/install_cuda.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
 ENV CUDA_HOME=/usr/local/cuda-${CUDA_VERSION}
 # Preserve CUDA_VERSION for the builds
 ENV CUDA_VERSION=${CUDA_VERSION}
@@ -54,20 +54,18 @@ FROM cuda as cuda11.8
 RUN bash ./install_cuda.sh 11.8
 ENV DESIRED_CUDA=11.8
 
+FROM cuda as cuda12.1
+RUN bash ./install_cuda.sh 12.1
+ENV DESIRED_CUDA=12.1
+
+FROM cuda as cuda12.4
+RUN bash ./install_cuda.sh 12.4
+ENV DESIRED_CUDA=12.4
+
 FROM cuda as cuda12.6
 RUN bash ./install_cuda.sh 12.6
 ENV DESIRED_CUDA=12.6
 
-FROM cuda as cuda12.8
-RUN bash ./install_cuda.sh 12.8
-ENV DESIRED_CUDA=12.8
-
-FROM ${ROCM_IMAGE} as rocm
-ENV PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
-ADD ./common/install_mkl.sh install_mkl.sh
-RUN bash ./install_mkl.sh && rm install_mkl.sh
-ENV MKLROOT /opt/intel
-
 # Install MNIST test data
 FROM base as mnist
 ADD ./common/install_mnist.sh install_mnist.sh
@@ -75,8 +73,9 @@ RUN bash ./install_mnist.sh
 
 FROM base as all_cuda
 COPY --from=cuda11.8  /usr/local/cuda-11.8 /usr/local/cuda-11.8
+COPY --from=cuda12.1  /usr/local/cuda-12.1 /usr/local/cuda-12.1
+COPY --from=cuda12.4  /usr/local/cuda-12.4 /usr/local/cuda-12.4
 COPY --from=cuda12.6  /usr/local/cuda-12.6 /usr/local/cuda-12.6
-COPY --from=cuda12.4  /usr/local/cuda-12.8 /usr/local/cuda-12.8
 
 # Final step
 FROM ${BASE_TARGET} as final

.ci/docker/almalinux/build.sh

@@ -1,70 +1,82 @@
 #!/usr/bin/env bash
 # Script used only in CD pipeline
 
-set -exou pipefail
+set -eou pipefail
 
 image="$1"
 shift
 
 if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGENAME:ARCHTAG"
+  echo "Usage: $0 IMAGE"
   exit 1
 fi
 
-# Go from imagename:tag to tag
-DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
+DOCKER_IMAGE_NAME="pytorch/${image}"
 
-CUDA_VERSION=""
-ROCM_VERSION=""
-EXTRA_BUILD_ARGS=""
-if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
-    # extract cuda version from image name and tag.  e.g. manylinux2_28-builder:cuda12.8 returns 12.8
-    CUDA_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
-    EXTRA_BUILD_ARGS="--build-arg CUDA_VERSION=${CUDA_VERSION}"
-elif [[ "${DOCKER_TAG_PREFIX}" == rocm* ]]; then
-    # extract rocm version from image name and tag.  e.g. manylinux2_28-builder:rocm6.2.4 returns 6.2.4
-    ROCM_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'rocm' '{print $2}')
-    EXTRA_BUILD_ARGS="--build-arg ROCM_IMAGE=rocm/dev-almalinux-8:${ROCM_VERSION}-complete"
-fi
-
-case ${DOCKER_TAG_PREFIX} in
-  cpu)
-    BASE_TARGET=base
-    ;;
-  cuda*)
-    BASE_TARGET=cuda${CUDA_VERSION}
-    ;;
-  rocm*)
-    BASE_TARGET=rocm
-    ;;
-  *)
-    echo "ERROR: Unknown docker tag ${DOCKER_TAG_PREFIX}"
-    exit 1
-    ;;
-esac
-
-# 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
-sudo systemctl daemon-reload
-sudo systemctl restart docker
 
 export DOCKER_BUILDKIT=1
 TOPDIR=$(git rev-parse --show-toplevel)
-tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
 
-docker build \
-  --target final \
-  --progress plain \
-  --build-arg "BASE_TARGET=${BASE_TARGET}" \
-  --build-arg "DEVTOOLSET_VERSION=11" \
-  ${EXTRA_BUILD_ARGS} \
-  -t ${tmp_tag} \
-  $@ \
-  -f "${TOPDIR}/.ci/docker/almalinux/Dockerfile" \
-  ${TOPDIR}/.ci/docker/
+CUDA_VERSION=${CUDA_VERSION:-12.1}
 
-if [ -n "${CUDA_VERSION}" ]; then
+case ${CUDA_VERSION} in
+  cpu)
+    BASE_TARGET=base
+    DOCKER_TAG=cpu
+    ;;
+  all)
+    BASE_TARGET=all_cuda
+    DOCKER_TAG=latest
+    ;;
+  *)
+    BASE_TARGET=cuda${CUDA_VERSION}
+    DOCKER_TAG=cuda${CUDA_VERSION}
+    ;;
+esac
+
+
+(
+  set -x
+  # TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
+  # is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
+  sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
+  sudo systemctl daemon-reload
+  sudo systemctl restart docker
+
+  docker build \
+    --target final \
+    --progress plain \
+    --build-arg "BASE_TARGET=${BASE_TARGET}" \
+    --build-arg "CUDA_VERSION=${CUDA_VERSION}" \
+    --build-arg "DEVTOOLSET_VERSION=11" \
+    -t ${DOCKER_IMAGE_NAME} \
+    $@ \
+    -f "${TOPDIR}/.ci/docker/almalinux/Dockerfile" \
+    ${TOPDIR}/.ci/docker/
+)
+
+if [[ "${DOCKER_TAG}" =~ ^cuda* ]]; then
   # Test that we're using the right CUDA compiler
-  docker run --rm "${tmp_tag}" nvcc --version | grep "cuda_${CUDA_VERSION}"
+  (
+    set -x
+    docker run --rm "${DOCKER_IMAGE_NAME}" nvcc --version | grep "cuda_${CUDA_VERSION}"
+  )
+fi
+
+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_NAME}-${GIT_BRANCH_NAME}
+DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE_NAME}-${GIT_COMMIT_SHA}
+if [[ "${WITH_PUSH:-}" == true ]]; then
+  (
+    set -x
+    docker push "${DOCKER_IMAGE_NAME}"
+    if [[ -n ${GITHUB_REF} ]]; then
+        docker tag ${DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_BRANCH_TAG}
+        docker tag ${DOCKER_IMAGE_NAME} ${DOCKER_IMAGE_SHA_TAG}
+        docker push "${DOCKER_IMAGE_BRANCH_TAG}"
+        docker push "${DOCKER_IMAGE_SHA_TAG}"
+    fi
+  )
 fi

.ci/docker/build.sh

@@ -104,6 +104,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -116,6 +118,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -129,6 +133,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.12
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -142,6 +148,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.13
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -155,6 +163,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -167,6 +177,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -180,6 +192,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.12
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -193,6 +207,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.13
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -206,6 +222,8 @@ case "$image" in
     CUDNN_VERSION=9
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     UCX_COMMIT=${_UCX_COMMIT}
@@ -216,6 +234,8 @@ case "$image" in
   pytorch-linux-focal-py3-clang10-onnx)
     ANACONDA_PYTHON_VERSION=3.9
     CLANG_VERSION=10
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     ONNX=yes
@@ -223,20 +243,30 @@ case "$image" in
   pytorch-linux-focal-py3.9-clang10)
     ANACONDA_PYTHON_VERSION=3.9
     CLANG_VERSION=10
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
+    VULKAN_SDK_VERSION=1.2.162.1
+    SWIFTSHADER=yes
     CONDA_CMAKE=yes
     TRITON=yes
     ;;
   pytorch-linux-focal-py3.11-clang10)
     ANACONDA_PYTHON_VERSION=3.11
     CLANG_VERSION=10
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
+    VULKAN_SDK_VERSION=1.2.162.1
+    SWIFTSHADER=yes
     CONDA_CMAKE=yes
     TRITON=yes
     ;;
   pytorch-linux-focal-py3.9-gcc9)
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     TRITON=yes
@@ -244,6 +274,8 @@ case "$image" in
   pytorch-linux-focal-rocm-n-1-py3)
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     ROCM_VERSION=6.2.4
     NINJA_VERSION=1.9.0
@@ -257,6 +289,8 @@ case "$image" in
   pytorch-linux-focal-rocm-n-py3)
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     ROCM_VERSION=6.3
     NINJA_VERSION=1.9.0
@@ -270,6 +304,8 @@ case "$image" in
   pytorch-linux-jammy-xpu-2024.0-py3)
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     XPU_VERSION=0.5
     NINJA_VERSION=1.9.0
@@ -279,6 +315,8 @@ case "$image" in
   pytorch-linux-jammy-xpu-2025.0-py3)
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     XPU_VERSION=2025.0
     NINJA_VERSION=1.9.0
@@ -288,6 +326,8 @@ case "$image" in
     pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks)
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     CONDA_CMAKE=yes
@@ -300,12 +340,16 @@ case "$image" in
     CUDA_VERSION=11.8
     CUDNN_VERSION=9
     CLANG_VERSION=12
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     TRITON=yes
     ;;
   pytorch-linux-jammy-py3-clang12-asan)
     ANACONDA_PYTHON_VERSION=3.9
     CLANG_VERSION=12
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     TRITON=yes
@@ -325,6 +369,8 @@ case "$image" in
   pytorch-linux-jammy-py3.9-gcc11)
     ANACONDA_PYTHON_VERSION=3.9
     GCC_VERSION=11
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     KATEX=yes
     CONDA_CMAKE=yes
@@ -357,18 +403,20 @@ case "$image" in
     # TODO: Use 3.9 here because of this issue https://github.com/python/mypy/issues/13627.
     # We will need to update mypy version eventually, but that's for another day. The task
     # would be to upgrade mypy to 1.0.0 with Python 3.11
-    PYTHON_VERSION=3.9
-    PIP_CMAKE=yes
+    ANACONDA_PYTHON_VERSION=3.9
+    CONDA_CMAKE=yes
     ;;
   pytorch-linux-jammy-cuda11.8-cudnn9-py3.9-linter)
-    PYTHON_VERSION=3.9
+    ANACONDA_PYTHON_VERSION=3.9
     CUDA_VERSION=11.8
-    PIP_CMAKE=yes
+    CONDA_CMAKE=yes
     ;;
   pytorch-linux-jammy-aarch64-py3.10-gcc11)
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=11
     ACL=yes
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     # snadampal: skipping llvm src build install because the current version
@@ -379,6 +427,8 @@ case "$image" in
     ANACONDA_PYTHON_VERSION=3.10
     GCC_VERSION=11
     ACL=yes
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     CONDA_CMAKE=yes
     # snadampal: skipping llvm src build install because the current version
@@ -388,6 +438,8 @@ case "$image" in
     ;;
   *)
     # Catch-all for builds that are not hardcoded.
+    PROTOBUF=yes
+    DB=yes
     VISION=yes
     echo "image '$image' did not match an existing build configuration"
     if [[ "$image" == *py* ]]; then
@@ -436,20 +488,14 @@ if [[ "$image" == *cuda*  && ${OS} == "ubuntu" ]]; then
   fi
 fi
 
-no_cache_flag=""
-progress_flag=""
-# Do not use cache and progress=plain when in CI
-if [[ -n "${CI:-}" ]]; then
-  no_cache_flag="--no-cache"
-  progress_flag="--progress=plain"
-fi
-
 # Build image
 docker build \
-       ${no_cache_flag} \
-       ${progress_flag} \
+       --no-cache \
+       --progress=plain \
        --build-arg "BUILD_ENVIRONMENT=${image}" \
+       --build-arg "PROTOBUF=${PROTOBUF:-}" \
        --build-arg "LLVMDEV=${LLVMDEV:-}" \
+       --build-arg "DB=${DB:-}" \
        --build-arg "VISION=${VISION:-}" \
        --build-arg "UBUNTU_VERSION=${UBUNTU_VERSION}" \
        --build-arg "CENTOS_VERSION=${CENTOS_VERSION}" \
@@ -457,12 +503,13 @@ docker build \
        --build-arg "GLIBC_VERSION=${GLIBC_VERSION}" \
        --build-arg "CLANG_VERSION=${CLANG_VERSION}" \
        --build-arg "ANACONDA_PYTHON_VERSION=${ANACONDA_PYTHON_VERSION}" \
-       --build-arg "PYTHON_VERSION=${PYTHON_VERSION}" \
        --build-arg "GCC_VERSION=${GCC_VERSION}" \
        --build-arg "CUDA_VERSION=${CUDA_VERSION}" \
        --build-arg "CUDNN_VERSION=${CUDNN_VERSION}" \
        --build-arg "TENSORRT_VERSION=${TENSORRT_VERSION}" \
        --build-arg "GRADLE_VERSION=${GRADLE_VERSION}" \
+       --build-arg "VULKAN_SDK_VERSION=${VULKAN_SDK_VERSION}" \
+       --build-arg "SWIFTSHADER=${SWIFTSHADER}" \
        --build-arg "CMAKE_VERSION=${CMAKE_VERSION:-}" \
        --build-arg "NINJA_VERSION=${NINJA_VERSION:-}" \
        --build-arg "KATEX=${KATEX:-}" \
@@ -472,7 +519,6 @@ docker build \
        --build-arg "UCX_COMMIT=${UCX_COMMIT}" \
        --build-arg "UCC_COMMIT=${UCC_COMMIT}" \
        --build-arg "CONDA_CMAKE=${CONDA_CMAKE}" \
-       --build-arg "PIP_CMAKE=${PIP_CMAKE}" \
        --build-arg "TRITON=${TRITON}" \
        --build-arg "TRITON_CPU=${TRITON_CPU}" \
        --build-arg "ONNX=${ONNX}" \
@@ -498,7 +544,7 @@ docker build \
 UBUNTU_VERSION=$(echo ${UBUNTU_VERSION} | sed 's/-rc$//')
 
 function drun() {
-  docker run --rm "$tmp_tag" "$@"
+  docker run --rm "$tmp_tag" $*
 }
 
 if [[ "$OS" == "ubuntu" ]]; then
@@ -546,14 +592,3 @@ if [ -n "$KATEX" ]; then
     exit 1
   fi
 fi
-
-HAS_TRITON=$(drun python -c "import triton" > /dev/null 2>&1 && echo "yes" || echo "no")
-if [[ -n "$TRITON" || -n "$TRITON_CPU" ]]; then
-  if [ "$HAS_TRITON" = "no" ]; then
-    echo "expecting triton to be installed, but it is not"
-    exit 1
-  fi
-elif [ "$HAS_TRITON" = "yes" ]; then
-  echo "expecting triton to not be installed, but it is"
-  exit 1
-fi

.ci/docker/centos-rocm/Dockerfile

@@ -48,6 +48,20 @@ COPY ./common/install_conda.sh install_conda.sh
 COPY ./common/common_utils.sh common_utils.sh
 RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
 
+# (optional) Install protobuf for ONNX
+ARG PROTOBUF
+COPY ./common/install_protobuf.sh install_protobuf.sh
+RUN if [ -n "${PROTOBUF}" ]; then bash ./install_protobuf.sh; fi
+RUN rm install_protobuf.sh
+ENV INSTALLED_PROTOBUF ${PROTOBUF}
+
+# (optional) Install database packages like LMDB and LevelDB
+ARG DB
+COPY ./common/install_db.sh install_db.sh
+RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
+RUN rm install_db.sh
+ENV INSTALLED_DB ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
@@ -61,7 +75,7 @@ COPY ./common/install_rocm.sh install_rocm.sh
 RUN bash ./install_rocm.sh
 RUN rm install_rocm.sh
 COPY ./common/install_rocm_magma.sh install_rocm_magma.sh
-RUN bash ./install_rocm_magma.sh ${ROCM_VERSION}
+RUN bash ./install_rocm_magma.sh
 RUN rm install_rocm_magma.sh
 COPY ./common/install_amdsmi.sh install_amdsmi.sh
 RUN bash ./install_amdsmi.sh

.ci/docker/ci_commit_pins/executorch.txt

@@ -1 +1 @@
-a325c56864c5b25630c1ebda03c8f16a96a02a19
+ebe8522378c3f9944aaaef44868f5ececdd845fc

.ci/docker/common/install_base.sh

@@ -99,6 +99,9 @@ install_centos() {
 
   ccache_deps="asciidoc docbook-dtds docbook-style-xsl libxslt"
   numpy_deps="gcc-gfortran"
+  # Note: protobuf-c-{compiler,devel} on CentOS are too old to be used
+  # for Caffe2. That said, we still install them to make sure the build
+  # system opts to build/use protoc and libprotobuf from third-party.
   yum install -y \
     $ccache_deps \
     $numpy_deps \

.ci/docker/common/install_clang.sh

@@ -4,10 +4,16 @@ set -ex
 
 if [ -n "$CLANG_VERSION" ]; then
 
-  if [[ $UBUNTU_VERSION == 22.04 ]]; then
+  if [[ $CLANG_VERSION == 9 && $UBUNTU_VERSION == 18.04 ]]; then
+    sudo apt-get update
+    # gpg-agent is not available by default on 18.04
+    sudo apt-get install  -y --no-install-recommends gpg-agent
+    wget --no-check-certificate -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add  -
+    apt-add-repository "deb http://apt.llvm.org/bionic/ llvm-toolchain-bionic-${CLANG_VERSION} main"
+  elif [[ $UBUNTU_VERSION == 22.04 ]]; then
     # work around ubuntu apt-get conflicts
     sudo apt-get -y -f install
-    wget --no-check-certificate -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add -
+    wget --no-check-certificate -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add  -
     if [[ $CLANG_VERSION == 18 ]]; then
       apt-add-repository "deb http://apt.llvm.org/jammy/ llvm-toolchain-jammy-18 main"
     fi
@@ -35,7 +41,7 @@ if [ -n "$CLANG_VERSION" ]; then
   # clang's packaging is a little messed up (the runtime libs aren't
   # added into the linker path), so give it a little help
   clang_lib=("/usr/lib/llvm-$CLANG_VERSION/lib/clang/"*"/lib/linux")
-  echo "$clang_lib" >/etc/ld.so.conf.d/clang.conf
+  echo "$clang_lib" > /etc/ld.so.conf.d/clang.conf
   ldconfig
 
   # Cleanup package manager

.ci/docker/common/install_conda.sh

@@ -62,7 +62,7 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
 
   # libstdcxx from conda default channels are too old, we need GLIBCXX_3.4.30
   # which is provided in libstdcxx 12 and up.
-  conda_install libstdcxx-ng=12.3.0 --update-deps -c conda-forge
+  conda_install libstdcxx-ng=12.3.0 -c conda-forge
 
   # Install PyTorch conda deps, as per https://github.com/pytorch/pytorch README
   if [[ $(uname -m) == "aarch64" ]]; then
@@ -80,14 +80,14 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
   # following builds that we know should use conda. Specifically, Ubuntu bionic
   # and focal cannot find conda mkl with stock cmake, so we need a cmake from conda
   if [ -n "${CONDA_CMAKE}" ]; then
-    pip_install cmake
+    conda_install cmake
   fi
 
   # Magma package names are concatenation of CUDA major and minor ignoring revision
   # I.e. magma-cuda102 package corresponds to CUDA_VERSION=10.2 and CUDA_VERSION=10.2.89
   # Magma is installed from a tarball in the ossci-linux bucket into the conda env
   if [ -n "$CUDA_VERSION" ]; then
-    conda_run ${SCRIPT_FOLDER}/install_magma_conda.sh $(cut -f1-2 -d'.' <<< ${CUDA_VERSION})
+    ${SCRIPT_FOLDER}/install_magma_conda.sh $(cut -f1-2 -d'.' <<< ${CUDA_VERSION}) ${ANACONDA_PYTHON_VERSION}
   fi
 
   # Install some other packages, including those needed for Python test reporting

.ci/docker/common/install_cpython.sh

@@ -7,7 +7,7 @@ PYTHON_DOWNLOAD_GITHUB_BRANCH=https://github.com/python/cpython/archive/refs/hea
 GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py
 
 # Python versions to be installed in /opt/$VERSION_NO
-CPYTHON_VERSIONS=${CPYTHON_VERSIONS:-"3.9.0 3.10.1 3.11.0 3.12.0 3.13.0 3.13.0t"}
+CPYTHON_VERSIONS=${CPYTHON_VERSIONS:-"3.8.1 3.9.0 3.10.1 3.11.0 3.12.0 3.13.0 3.13.0t"}
 
 function check_var {
     if [ -z "$1" ]; then

.ci/docker/common/install_cuda.sh

@@ -2,82 +2,140 @@
 
 set -ex
 
-arch_path=''
-targetarch=${TARGETARCH:-$(uname -m)}
-if [ ${targetarch} = 'amd64' ] || [ "${targetarch}" = 'x86_64' ]; then
-  arch_path='x86_64'
-else
-  arch_path='sbsa'
-fi
+NCCL_VERSION=v2.26.2-1
+CUDNN_VERSION=9.5.1.17
 
-function install_cuda {
-  version=$1
-  runfile=$2
-  major_minor=${version%.*}
-  rm -rf /usr/local/cuda-${major_minor} /usr/local/cuda
-  if [[ ${arch_path} == 'sbsa' ]]; then
-      runfile="${runfile}_sbsa"
-  fi
-  runfile="${runfile}.run"
-  wget -q https://developer.download.nvidia.com/compute/cuda/${version}/local_installers/${runfile} -O ${runfile}
-  chmod +x ${runfile}
-  ./${runfile} --toolkit --silent
-  rm -f ${runfile}
-  rm -f /usr/local/cuda && ln -s /usr/local/cuda-${major_minor} /usr/local/cuda
+function install_cusparselt_040 {
+    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
+    mkdir tmp_cusparselt && pushd tmp_cusparselt
+    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.4.0.7-archive.tar.xz
+    tar xf libcusparse_lt-linux-x86_64-0.4.0.7-archive.tar.xz
+    cp -a libcusparse_lt-linux-x86_64-0.4.0.7-archive/include/* /usr/local/cuda/include/
+    cp -a libcusparse_lt-linux-x86_64-0.4.0.7-archive/lib/* /usr/local/cuda/lib64/
+    popd
+    rm -rf tmp_cusparselt
 }
 
-function install_cudnn {
-  cuda_major_version=$1
-  cudnn_version=$2
-  mkdir tmp_cudnn && cd tmp_cudnn
-  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-  filepath="cudnn-linux-${arch_path}-${cudnn_version}_cuda${cuda_major_version}-archive"
-  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-${arch_path}/${filepath}.tar.xz
-  tar xf ${filepath}.tar.xz
-  cp -a ${filepath}/include/* /usr/local/cuda/include/
-  cp -a ${filepath}/lib/* /usr/local/cuda/lib64/
-  cd ..
-  rm -rf tmp_cudnn
+function install_cusparselt_062 {
+    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
+    mkdir tmp_cusparselt && pushd tmp_cusparselt
+    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.6.2.3-archive.tar.xz
+    tar xf libcusparse_lt-linux-x86_64-0.6.2.3-archive.tar.xz
+    cp -a libcusparse_lt-linux-x86_64-0.6.2.3-archive/include/* /usr/local/cuda/include/
+    cp -a libcusparse_lt-linux-x86_64-0.6.2.3-archive/lib/* /usr/local/cuda/lib64/
+    popd
+    rm -rf tmp_cusparselt
+}
+
+function install_cusparselt_063 {
+    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
+    mkdir tmp_cusparselt && pushd tmp_cusparselt
+    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.6.3.2-archive.tar.xz
+    tar xf libcusparse_lt-linux-x86_64-0.6.3.2-archive.tar.xz
+    cp -a libcusparse_lt-linux-x86_64-0.6.3.2-archive/include/* /usr/local/cuda/include/
+    cp -a libcusparse_lt-linux-x86_64-0.6.3.2-archive/lib/* /usr/local/cuda/lib64/
+    popd
+    rm -rf tmp_cusparselt
 }
 
 function install_118 {
     CUDNN_VERSION=9.1.0.70
-    echo "Installing CUDA 11.8 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.4.0"
-    install_cuda 11.8.0 cuda_11.8.0_520.61.05_linux
+    NCCL_VERSION=v2.21.5-1
+    echo "Installing CUDA 11.8 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.4.0"
+    rm -rf /usr/local/cuda-11.8 /usr/local/cuda
+    # install CUDA 11.8.0 in the same container
+    wget -q https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
+    chmod +x cuda_11.8.0_520.61.05_linux.run
+    ./cuda_11.8.0_520.61.05_linux.run --toolkit --silent
+    rm -f cuda_11.8.0_520.61.05_linux.run
+    rm -f /usr/local/cuda && ln -s /usr/local/cuda-11.8 /usr/local/cuda
 
-    install_cudnn 11 $CUDNN_VERSION
+    # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
+    mkdir tmp_cudnn && cd tmp_cudnn
+    wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz
+    tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz
+    cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive/include/* /usr/local/cuda/include/
+    cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive/lib/* /usr/local/cuda/lib64/
+    cd ..
+    rm -rf tmp_cudnn
 
-    CUDA_VERSION=11.8 bash install_nccl.sh
+    # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+    # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+    git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
+    cd nccl && make -j src.build
+    cp -a build/include/* /usr/local/cuda/include/
+    cp -a build/lib/* /usr/local/cuda/lib64/
+    cd ..
+    rm -rf nccl
 
-    CUDA_VERSION=11.8 bash install_cusparselt.sh
+    install_cusparselt_040
 
     ldconfig
 }
 
 function install_124 {
   CUDNN_VERSION=9.1.0.70
-  echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.2"
-  install_cuda 12.4.1 cuda_12.4.1_550.54.15_linux
+  echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.2"
+  rm -rf /usr/local/cuda-12.4 /usr/local/cuda
+  # install CUDA 12.4.1 in the same container
+  wget -q https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda_12.4.1_550.54.15_linux.run
+  chmod +x cuda_12.4.1_550.54.15_linux.run
+  ./cuda_12.4.1_550.54.15_linux.run --toolkit --silent
+  rm -f cuda_12.4.1_550.54.15_linux.run
+  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.4 /usr/local/cuda
 
-  install_cudnn 12 $CUDNN_VERSION
+  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
+  mkdir tmp_cudnn && cd tmp_cudnn
+  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
+  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf tmp_cudnn
 
-  CUDA_VERSION=12.4 bash install_nccl.sh
+  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+  git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
+  cd nccl && make -j src.build
+  cp -a build/include/* /usr/local/cuda/include/
+  cp -a build/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf nccl
 
-  CUDA_VERSION=12.4 bash install_cusparselt.sh
+  install_cusparselt_062
 
   ldconfig
 }
 
 function install_126 {
-  CUDNN_VERSION=9.5.1.17
-  echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
-  install_cuda 12.6.3 cuda_12.6.3_560.35.05_linux
+  echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
+  rm -rf /usr/local/cuda-12.6 /usr/local/cuda
+  # install CUDA 12.6.3 in the same container
+  wget -q https://developer.download.nvidia.com/compute/cuda/12.6.3/local_installers/cuda_12.6.3_560.35.05_linux.run
+  chmod +x cuda_12.6.3_560.35.05_linux.run
+  ./cuda_12.6.3_560.35.05_linux.run --toolkit --silent
+  rm -f cuda_12.6.3_560.35.05_linux.run
+  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.6 /usr/local/cuda
 
-  install_cudnn 12 $CUDNN_VERSION
+  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
+  mkdir tmp_cudnn && cd tmp_cudnn
+  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
+  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf tmp_cudnn
 
-  CUDA_VERSION=12.6 bash install_nccl.sh
+  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+  git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
+  cd nccl && make -j src.build
+  cp -a build/include/* /usr/local/cuda/include/
+  cp -a build/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf nccl
 
-  CUDA_VERSION=12.6 bash install_cusparselt.sh
+  install_cusparselt_063
 
   ldconfig
 }
@@ -182,17 +240,35 @@ function prune_126 {
 }
 
 function install_128 {
-  CUDNN_VERSION=9.8.0.87
-  echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
+  CUDNN_VERSION=9.7.1.26
+  echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
+  rm -rf /usr/local/cuda-12.8 /usr/local/cuda
   # install CUDA 12.8.0 in the same container
-  install_cuda 12.8.0 cuda_12.8.0_570.86.10_linux
+  wget -q https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda_12.8.0_570.86.10_linux.run
+  chmod +x cuda_12.8.0_570.86.10_linux.run
+  ./cuda_12.8.0_570.86.10_linux.run --toolkit --silent
+  rm -f cuda_12.8.0_570.86.10_linux.run
+  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.8 /usr/local/cuda
 
   # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
-  install_cudnn 12 $CUDNN_VERSION
+  mkdir tmp_cudnn && cd tmp_cudnn
+  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
+  cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf tmp_cudnn
 
-  CUDA_VERSION=12.8 bash install_nccl.sh
+  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+  git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
+  cd nccl && make -j src.build
+  cp -a build/include/* /usr/local/cuda/include/
+  cp -a build/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf nccl
 
-  CUDA_VERSION=12.8 bash install_cusparselt.sh
+  install_cusparselt_063
 
   ldconfig
 }

.ci/docker/common/install_cuda_aarch64.sh

@@ -0,0 +1,63 @@
+#!/bin/bash
+# Script used only in CD pipeline
+
+set -ex
+
+NCCL_VERSION=v2.26.2-1
+CUDNN_VERSION=9.8.0.87
+
+function install_cusparselt_063 {
+    # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
+    mkdir tmp_cusparselt && pushd tmp_cusparselt
+    wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-sbsa/libcusparse_lt-linux-sbsa-0.6.3.2-archive.tar.xz
+    tar xf libcusparse_lt-linux-sbsa-0.6.3.2-archive.tar.xz
+    cp -a libcusparse_lt-linux-sbsa-0.6.3.2-archive/include/* /usr/local/cuda/include/
+    cp -a libcusparse_lt-linux-sbsa-0.6.3.2-archive/lib/* /usr/local/cuda/lib64/
+    popd
+    rm -rf tmp_cusparselt
+}
+
+function install_128 {
+  echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
+  rm -rf /usr/local/cuda-12.8 /usr/local/cuda
+  # install CUDA 12.8.0 in the same container
+  wget -q https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda_12.8.0_570.86.10_linux_sbsa.run
+  chmod +x cuda_12.8.0_570.86.10_linux_sbsa.run
+  ./cuda_12.8.0_570.86.10_linux_sbsa.run --toolkit --silent
+  rm -f cuda_12.8.0_570.86.10_linux_sbsa.run
+  rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.8 /usr/local/cuda
+
+  # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
+  mkdir tmp_cudnn && cd tmp_cudnn
+  wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  tar xf cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive.tar.xz
+  cp -a cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
+  cp -a cudnn-linux-sbsa-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf tmp_cudnn
+
+  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
+  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
+  git clone -b ${NCCL_VERSION} --depth 1 https://github.com/NVIDIA/nccl.git
+  cd nccl && make -j src.build
+  cp -a build/include/* /usr/local/cuda/include/
+  cp -a build/lib/* /usr/local/cuda/lib64/
+  cd ..
+  rm -rf nccl
+
+  install_cusparselt_063
+
+  ldconfig
+}
+
+# idiomatic parameter and option handling in sh
+while test $# -gt 0
+do
+    case "$1" in
+    12.8) install_128;
+        ;;
+    *) echo "bad argument $1"; exit 1
+        ;;
+    esac
+    shift
+done

.ci/docker/common/install_cudnn.sh

@@ -5,7 +5,7 @@ if [[ -n "${CUDNN_VERSION}" ]]; then
     mkdir tmp_cudnn
     pushd tmp_cudnn
     if [[ ${CUDA_VERSION:0:4} == "12.8" ]]; then
-        CUDNN_NAME="cudnn-linux-x86_64-9.8.0.87_cuda12-archive"
+        CUDNN_NAME="cudnn-linux-x86_64-9.7.1.26_cuda12-archive"
     elif [[ ${CUDA_VERSION:0:4} == "12.6" ]]; then
         CUDNN_NAME="cudnn-linux-x86_64-9.5.1.17_cuda12-archive"
     elif [[ ${CUDA_VERSION:0:2} == "12" ]]; then

.ci/docker/common/install_db.sh

@@ -0,0 +1,38 @@
+#!/bin/bash
+
+set -ex
+
+install_ubuntu() {
+  apt-get update
+
+  # Cleanup
+  apt-get autoclean && apt-get clean
+  rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+}
+
+install_centos() {
+  # Need EPEL for many packages we depend on.
+  # See http://fedoraproject.org/wiki/EPEL
+  yum --enablerepo=extras install -y epel-release
+
+  # Cleanup
+  yum clean all
+  rm -rf /var/cache/yum
+  rm -rf /var/lib/yum/yumdb
+  rm -rf /var/lib/yum/history
+}
+
+# Install base packages depending on the base OS
+ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
+case "$ID" in
+  ubuntu)
+    install_ubuntu
+    ;;
+  centos)
+    install_centos
+    ;;
+  *)
+    echo "Unable to determine OS..."
+    exit 1
+    ;;
+esac

.ci/docker/common/install_halide.sh

@@ -17,7 +17,7 @@ if [ -n "${UBUNTU_VERSION}" ];then
                   libopenblas-dev libeigen3-dev libatlas-base-dev libzstd-dev
 fi
 
-pip_install numpy scipy imageio cmake ninja
+conda_install numpy scipy imageio cmake ninja
 
 git clone --depth 1 --branch release/16.x --recursive https://github.com/llvm/llvm-project.git
 cmake -DCMAKE_BUILD_TYPE=Release \

.ci/docker/common/install_linter.sh

@@ -2,6 +2,8 @@
 
 set -ex
 
+source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
+
 if [ -n "${UBUNTU_VERSION}" ]; then
   apt update
   apt-get install -y clang doxygen git graphviz nodejs npm libtinfo5
@@ -13,8 +15,8 @@ chown -R jenkins pytorch
 
 pushd pytorch
 # Install all linter dependencies
-pip install -r requirements.txt
-lintrunner init
+pip_install -r requirements.txt
+conda_run lintrunner init
 
 # Cache .lintbin directory as part of the Docker image
 cp -r .lintbin /tmp

.ci/docker/common/install_magma_conda.sh

@@ -1,23 +1,26 @@
 #!/usr/bin/env bash
-# Script that installs magma from tarball inside conda environment.
-# It replaces anaconda magma-cuda package which is no longer published.
-# Execute it inside active conda environment.
-# See issue: https://github.com/pytorch/pytorch/issues/138506
+# Script that replaces the magma install from a conda package
 
 set -eou pipefail
 
-cuda_version_nodot=${1/./}
-anaconda_dir=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
+function do_install() {
+    cuda_version_nodot=${1/./}
+    anaconda_python_version=$2
 
-MAGMA_VERSION="2.6.1"
-magma_archive="magma-cuda${cuda_version_nodot}-${MAGMA_VERSION}-1.tar.bz2"
-(
-    set -x
-    tmp_dir=$(mktemp -d)
-    pushd ${tmp_dir}
-    curl -OLs https://ossci-linux.s3.us-east-1.amazonaws.com/${magma_archive}
-    tar -xvf "${magma_archive}"
-    mv include/* "${anaconda_dir}/include/"
-    mv lib/* "${anaconda_dir}/lib"
-    popd
-)
+    MAGMA_VERSION="2.6.1"
+    magma_archive="magma-cuda${cuda_version_nodot}-${MAGMA_VERSION}-1.tar.bz2"
+
+    anaconda_dir="/opt/conda/envs/py_${anaconda_python_version}"
+    (
+        set -x
+        tmp_dir=$(mktemp -d)
+        pushd ${tmp_dir}
+        curl -OLs https://ossci-linux.s3.us-east-1.amazonaws.com/${magma_archive}
+        tar -xvf "${magma_archive}"
+        mv include/* "${anaconda_dir}/include/"
+        mv lib/* "${anaconda_dir}/lib"
+        popd
+    )
+}
+
+do_install $1 $2

.ci/docker/common/install_nccl.sh

@@ -1,26 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-NCCL_VERSION=""
-if [[ ${CUDA_VERSION:0:2} == "11" ]]; then
-  NCCL_VERSION=$(cat ci_commit_pins/nccl-cu11.txt)
-elif [[ ${CUDA_VERSION:0:2} == "12" ]]; then
-  NCCL_VERSION=$(cat ci_commit_pins/nccl-cu12.txt)
-else
-  echo "Unexpected CUDA_VERSION ${CUDA_VERSION}"
-  exit 1
-fi
-
-if [[ -n "${NCCL_VERSION}" ]]; then
-  # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
-  # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
-  git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
-  pushd nccl
-  make -j src.build
-  cp -a build/include/* /usr/local/cuda/include/
-  cp -a build/lib/* /usr/local/cuda/lib64/
-  popd
-  rm -rf nccl
-  ldconfig
-fi

.ci/docker/common/install_protobuf.sh

@@ -0,0 +1,19 @@
+#!/bin/bash
+
+set -ex
+
+pb_dir="/usr/temp_pb_install_dir"
+mkdir -p $pb_dir
+
+# On the nvidia/cuda:9-cudnn7-devel-centos7 image we need this symlink or
+# else it will fail with
+#   g++: error: ./../lib64/crti.o: No such file or directory
+ln -s /usr/lib64 "$pb_dir/lib64"
+
+curl -LO "https://github.com/protocolbuffers/protobuf/releases/download/v3.17.3/protobuf-all-3.17.3.tar.gz" --retry 3
+
+tar -xvz --no-same-owner -C "$pb_dir" --strip-components 1 -f protobuf-all-3.17.3.tar.gz
+NPROC=$[$(nproc) - 2]
+pushd "$pb_dir" && ./configure && make -j${NPROC} && make -j${NPROC} check && sudo make -j${NRPOC} install && sudo ldconfig
+popd
+rm -rf $pb_dir

.ci/docker/common/install_python.sh

@@ -1,18 +0,0 @@
-#!/bin/bash
-set -ex
-
-apt-get update
-# Use deadsnakes in case we need an older python version
-sudo add-apt-repository ppa:deadsnakes/ppa
-apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python3-pip python${PYTHON_VERSION}-venv
-
-# Use a venv because uv and some other package managers don't support --user install
-ln -s /usr/bin/python${PYTHON_VERSION} /usr/bin/python
-python -m venv /var/lib/jenkins/ci_env
-source /var/lib/jenkins/ci_env/bin/activate
-
-python -mpip install --upgrade pip
-python -mpip install -r /opt/requirements-ci.txt
-if [ -n "${PIP_CMAKE}" ]; then
-  python -mpip install cmake==3.31.6
-fi

.ci/docker/common/install_rocm.sh

@@ -8,6 +8,10 @@ ver() {
 
 install_ubuntu() {
     apt-get update
+    if [[ $UBUNTU_VERSION == 18.04 ]]; then
+      # gpg-agent is not available by default on 18.04
+      apt-get install -y --no-install-recommends gpg-agent
+    fi
     if [[ $UBUNTU_VERSION == 20.04 ]]; then
       # gpg-agent is not available by default on 20.04
       apt-get install -y --no-install-recommends gpg-agent
@@ -19,13 +23,6 @@ install_ubuntu() {
     apt-get install -y libc++1
     apt-get install -y libc++abi1
 
-    # Make sure rocm packages from repo.radeon.com have highest priority
-    cat << EOF > /etc/apt/preferences.d/rocm-pin-600
-Package: *
-Pin: release o=repo.radeon.com
-Pin-Priority: 600
-EOF
-
     # Add amdgpu repository
     UBUNTU_VERSION_NAME=`cat /etc/os-release | grep UBUNTU_CODENAME | awk -F= '{print $2}'`
     echo "deb [arch=amd64] https://repo.radeon.com/amdgpu/${ROCM_VERSION}/ubuntu ${UBUNTU_VERSION_NAME} main" > /etc/apt/sources.list.d/amdgpu.list

.ci/docker/common/install_rocm_magma.sh

@@ -1,32 +1,50 @@
-#!/usr/bin/env bash
-# Script used only in CD pipeline
+#!/bin/bash
+# Script used in CI and CD pipeline
 
-set -eou pipefail
+set -ex
 
-function do_install() {
-    rocm_version=$1
-    rocm_version_nodot=${1//./}
+# Magma build scripts need `python`
+ln -sf /usr/bin/python3 /usr/bin/python
 
-    # Version 2.7.2 + ROCm related updates
-    MAGMA_VERSION=a1625ff4d9bc362906bd01f805dbbe12612953f6
-    magma_archive="magma-rocm${rocm_version_nodot}-${MAGMA_VERSION}-1.tar.bz2"
+ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
+case "$ID" in
+  almalinux)
+    yum install -y gcc-gfortran
+    ;;
+  *)
+    echo "No preinstalls to build magma..."
+    ;;
+esac
 
-    rocm_dir="/opt/rocm"
-    (
-        set -x
-        tmp_dir=$(mktemp -d)
-        pushd ${tmp_dir}
-        curl -OLs https://ossci-linux.s3.us-east-1.amazonaws.com/${magma_archive}
-        if tar -xvf "${magma_archive}"
-        then
-            mkdir -p "${rocm_dir}/magma"
-            mv include "${rocm_dir}/magma/include"
-            mv lib "${rocm_dir}/magma/lib"
-        else
-            echo "${magma_archive} not found, skipping magma install"
-        fi
-        popd
-    )
-}
+MKLROOT=${MKLROOT:-/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION}
 
-do_install $1
+# "install" hipMAGMA into /opt/rocm/magma by copying after build
+git clone https://bitbucket.org/icl/magma.git
+pushd magma
+
+# Version 2.7.2 + ROCm related updates
+git checkout a1625ff4d9bc362906bd01f805dbbe12612953f6
+
+cp make.inc-examples/make.inc.hip-gcc-mkl make.inc
+echo 'LIBDIR += -L$(MKLROOT)/lib' >> make.inc
+if [[ -f "${MKLROOT}/lib/libmkl_core.a" ]]; then
+    echo 'LIB = -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -Wl,--end-group -lpthread -lstdc++ -lm -lgomp -lhipblas -lhipsparse' >> make.inc
+fi
+echo 'LIB += -Wl,--enable-new-dtags -Wl,--rpath,/opt/rocm/lib -Wl,--rpath,$(MKLROOT)/lib -Wl,--rpath,/opt/rocm/magma/lib -ldl' >> make.inc
+echo 'DEVCCFLAGS += --gpu-max-threads-per-block=256' >> make.inc
+export PATH="${PATH}:/opt/rocm/bin"
+if [[ -n "$PYTORCH_ROCM_ARCH" ]]; then
+  amdgpu_targets=`echo $PYTORCH_ROCM_ARCH | sed 's/;/ /g'`
+else
+  amdgpu_targets=`rocm_agent_enumerator | grep -v gfx000 | sort -u | xargs`
+fi
+for arch in $amdgpu_targets; do
+  echo "DEVCCFLAGS += --offload-arch=$arch" >> make.inc
+done
+# hipcc with openmp flag may cause isnan() on __device__ not to be found; depending on context, compiler may attempt to match with host definition
+sed -i 's/^FOPENMP/#FOPENMP/g' make.inc
+make -f make.gen.hipMAGMA -j $(nproc)
+LANG=C.UTF-8 make lib/libmagma.so -j $(nproc) MKLROOT="${MKLROOT}"
+make testing/testing_dgemm -j $(nproc) MKLROOT="${MKLROOT}"
+popd
+mv magma /opt/rocm

.ci/docker/common/install_swiftshader.sh

@@ -0,0 +1,24 @@
+#!/bin/bash
+
+set -ex
+
+[ -n "${SWIFTSHADER}" ]
+
+retry () {
+    $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
+}
+
+_https_amazon_aws=https://ossci-android.s3.amazonaws.com
+
+# SwiftShader
+_swiftshader_dir=/var/lib/jenkins/swiftshader
+_swiftshader_file_targz=swiftshader-abe07b943-prebuilt.tar.gz
+mkdir -p $_swiftshader_dir
+_tmp_swiftshader_targz="/tmp/${_swiftshader_file_targz}"
+
+curl --silent --show-error --location --fail --retry 3 \
+  --output "${_tmp_swiftshader_targz}" "$_https_amazon_aws/${_swiftshader_file_targz}"
+
+tar -C "${_swiftshader_dir}" -xzf "${_tmp_swiftshader_targz}"
+
+export VK_ICD_FILENAMES="${_swiftshader_dir}/build/Linux/vk_swiftshader_icd.json"

.ci/docker/common/install_triton.sh

@@ -2,16 +2,14 @@
 
 set -ex
 
-mkdir -p /opt/triton
-if [ -z "${TRITON}" ] && [ -z "${TRITON_CPU}" ]; then
-  echo "TRITON and TRITON_CPU are not set. Exiting..."
-  exit 0
-fi
-
 source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
 
-get_pip_version() {
-  conda_run pip list | grep -w $* | head -n 1 | awk '{print $2}'
+get_conda_version() {
+  as_jenkins conda list -n py_$ANACONDA_PYTHON_VERSION | grep -w $* | head -n 1 | awk '{print $2}'
+}
+
+conda_reinstall() {
+  as_jenkins conda install -q -n py_$ANACONDA_PYTHON_VERSION -y --force-reinstall $*
 }
 
 if [ -n "${XPU_VERSION}" ]; then
@@ -35,8 +33,8 @@ fi
 
 if [ -n "${CONDA_CMAKE}" ]; then
   # Keep the current cmake and numpy version here, so we can reinstall them later
-  CMAKE_VERSION=$(get_pip_version cmake)
-  NUMPY_VERSION=$(get_pip_version numpy)
+  CMAKE_VERSION=$(get_conda_version cmake)
+  NUMPY_VERSION=$(get_conda_version numpy)
 fi
 
 if [ -z "${MAX_JOBS}" ]; then
@@ -54,7 +52,6 @@ cd triton
 as_jenkins git checkout ${TRITON_PINNED_COMMIT}
 as_jenkins git submodule update --init --recursive
 cd python
-pip_install pybind11==2.13.6
 
 # TODO: remove patch setup.py once we have a proper fix for https://github.com/triton-lang/triton/issues/4527
 as_jenkins sed -i -e 's/https:\/\/tritonlang.blob.core.windows.net\/llvm-builds/https:\/\/oaitriton.blob.core.windows.net\/public\/llvm-builds/g' setup.py
@@ -63,22 +60,17 @@ 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 conda_run python setup.py bdist_wheel
+  CXX=g++-9 pip_install .
 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 conda_run python setup.py bdist_wheel
+  CXX=g++-9 pip_install .
 else
-  conda_run python setup.py bdist_wheel
+  pip_install .
 fi
 
-# Copy the wheel to /opt for multi stage docker builds
-cp dist/*.whl /opt/triton
-# Install the wheel for docker builds that don't use multi stage
-pip_install dist/*.whl
-
 if [ -n "${CONDA_CMAKE}" ]; then
   # TODO: This is to make sure that the same cmake and numpy version from install conda
   # script is used. Without this step, the newer cmake version (3.25.2) downloaded by
@@ -89,11 +81,7 @@ if [ -n "${CONDA_CMAKE}" ]; then
   # causes inconsistent environment.  Without this, conda will attempt to install the
   # latest numpy version, which fails ASAN tests with the following import error: Numba
   # needs NumPy 1.20 or less.
+  conda_reinstall cmake="${CMAKE_VERSION}"
   # Note that we install numpy with pip as conda might not have the version we want
-  if [ -n "${CMAKE_VERSION}" ]; then
-    pip_install "cmake==${CMAKE_VERSION}"
-  fi
-  if [ -n "${NUMPY_VERSION}" ]; then
-    pip_install "numpy==${NUMPY_VERSION}"
-  fi
+  pip_install --force-reinstall numpy=="${NUMPY_VERSION}"
 fi

.ci/docker/common/install_vulkan_sdk.sh

@@ -0,0 +1,24 @@
+#!/bin/bash
+
+set -ex
+
+[ -n "${VULKAN_SDK_VERSION}" ]
+
+retry () {
+    $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
+}
+
+_vulkansdk_dir=/var/lib/jenkins/vulkansdk
+_tmp_vulkansdk_targz=/tmp/vulkansdk.tar.gz
+
+curl \
+  --silent \
+  --show-error \
+  --location \
+  --fail \
+  --retry 3 \
+  --output "${_tmp_vulkansdk_targz}" "https://ossci-android.s3.amazonaws.com/vulkansdk-linux-x86_64-${VULKAN_SDK_VERSION}.tar.gz"
+
+mkdir -p "${_vulkansdk_dir}"
+tar -C "${_vulkansdk_dir}" -xzf "${_tmp_vulkansdk_targz}" --strip-components 1
+rm -rf "${_tmp_vulkansdk_targz}"

.ci/docker/common/install_xpu.sh

@@ -47,6 +47,9 @@ function install_ubuntu() {
     # Development Packages
     apt-get install -y libigc-dev intel-igc-cm libigdfcl-dev libigfxcmrt-dev level-zero-dev
     # Install Intel Support Packages
+    if [[ "$XPU_VERSION" == "2025.0" ]]; then
+        XPU_PACKAGES="${XPU_PACKAGES} intel-oneapi-dnnl=2025.0.1-6"
+    fi
     apt-get install -y ${XPU_PACKAGES}
 
     # Cleanup
@@ -82,6 +85,9 @@ gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.
 EOF
 
     # Install Intel Support Packages
+    if [[ "$XPU_VERSION" == "2025.0" ]]; then
+        XPU_PACKAGES="${XPU_PACKAGES} intel-oneapi-dnnl-2025.0.1-6"
+    fi
     yum install -y ${XPU_PACKAGES}
     # The xpu-smi packages
     dnf install -y xpu-smi

.ci/docker/libtorch/Dockerfile

@@ -49,9 +49,6 @@ RUN bash ./install_mkl.sh && rm install_mkl.sh
 FROM cpu as cuda
 ADD ./common/install_cuda.sh install_cuda.sh
 ADD ./common/install_magma.sh install_magma.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
 ENV CUDA_HOME /usr/local/cuda
 
 FROM cuda as cuda11.8
@@ -75,7 +72,6 @@ RUN bash ./install_magma.sh 12.8
 RUN ln -sf /usr/local/cuda-12.8 /usr/local/cuda
 
 FROM cpu as rocm
-ARG ROCM_VERSION
 ARG PYTORCH_ROCM_ARCH
 ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
 ENV MKLROOT /opt/intel
@@ -90,11 +86,11 @@ ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
 # gfortran and python needed for building magma from source for ROCm
 RUN apt-get update -y && \
     apt-get install gfortran -y && \
-    apt-get install python3 python-is-python3 -y && \
+    apt-get install python -y && \
     apt-get clean
 
 RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
-RUN bash ./install_rocm_magma.sh ${ROCM_VERSION} && rm install_rocm_magma.sh
+RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
 
 FROM ${BASE_TARGET} as final
 COPY --from=openssl            /opt/openssl           /opt/openssl

.ci/docker/libtorch/build.sh

@@ -1,63 +1,83 @@
 #!/usr/bin/env bash
 # Script used only in CD pipeline
 
-set -eoux pipefail
+set -eou pipefail
 
 image="$1"
 shift
 
 if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGENAME:ARCHTAG"
+  echo "Usage: $0 IMAGE"
   exit 1
 fi
 
+DOCKER_IMAGE="pytorch/${image}"
+
 TOPDIR=$(git rev-parse --show-toplevel)
 
+GPU_ARCH_TYPE=${GPU_ARCH_TYPE:-cpu}
+GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
+
+WITH_PUSH=${WITH_PUSH:-}
+
 DOCKER=${DOCKER:-docker}
 
-# Go from imagename:tag to tag
-DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
-
-GPU_ARCH_VERSION=""
-if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
-    # extract cuda version from image name.  e.g. manylinux2_28-builder:cuda12.8 returns 12.8
-    GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
-elif [[ "${DOCKER_TAG_PREFIX}" == rocm* ]]; then
-    # extract rocm version from image name.  e.g. manylinux2_28-builder:rocm6.2.4 returns 6.2.4
-    GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'rocm' '{print $2}')
-fi
-
-case ${DOCKER_TAG_PREFIX} in
+case ${GPU_ARCH_TYPE} in
     cpu)
         BASE_TARGET=cpu
+        DOCKER_TAG=cpu
         GPU_IMAGE=ubuntu:20.04
         DOCKER_GPU_BUILD_ARG=""
         ;;
-    cuda*)
+    cuda)
         BASE_TARGET=cuda${GPU_ARCH_VERSION}
+        DOCKER_TAG=cuda${GPU_ARCH_VERSION}
         GPU_IMAGE=ubuntu:20.04
         DOCKER_GPU_BUILD_ARG=""
         ;;
-    rocm*)
+    rocm)
         BASE_TARGET=rocm
-        GPU_IMAGE=rocm/dev-ubuntu-22.04:${GPU_ARCH_VERSION}-complete
+        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"
-        DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH} --build-arg ROCM_VERSION=${GPU_ARCH_VERSION}"
+        DOCKER_GPU_BUILD_ARG="--build-arg PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH}"
         ;;
     *)
-        echo "ERROR: Unrecognized DOCKER_TAG_PREFIX: ${DOCKER_TAG_PREFIX}"
+        echo "ERROR: Unrecognized GPU_ARCH_TYPE: ${GPU_ARCH_TYPE}"
         exit 1
         ;;
 esac
 
-tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
 
-DOCKER_BUILDKIT=1 ${DOCKER} build \
-    --target final \
-    ${DOCKER_GPU_BUILD_ARG} \
-    --build-arg "GPU_IMAGE=${GPU_IMAGE}" \
-    --build-arg "BASE_TARGET=${BASE_TARGET}" \
-    -t "${tmp_tag}" \
-    $@ \
-    -f "${TOPDIR}/.ci/docker/libtorch/Dockerfile" \
-    "${TOPDIR}/.ci/docker/"
+(
+    set -x
+    DOCKER_BUILDKIT=1 ${DOCKER} build \
+         --target final \
+        ${DOCKER_GPU_BUILD_ARG} \
+        --build-arg "GPU_IMAGE=${GPU_IMAGE}" \
+        --build-arg "BASE_TARGET=${BASE_TARGET}" \
+        -t "${DOCKER_IMAGE}" \
+        $@ \
+        -f "${TOPDIR}/.ci/docker/libtorch/Dockerfile" \
+        "${TOPDIR}/.ci/docker/"
+
+)
+
+GITHUB_REF=${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}
+DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE}-${GIT_COMMIT_SHA}
+
+if [[ "${WITH_PUSH}" == true ]]; then
+  (
+    set -x
+    ${DOCKER} push "${DOCKER_IMAGE}"
+    if [[ -n ${GITHUB_REF} ]]; then
+        ${DOCKER} tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_BRANCH_TAG}
+        ${DOCKER} tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_SHA_TAG}
+        ${DOCKER} push "${DOCKER_IMAGE_BRANCH_TAG}"
+        ${DOCKER} push "${DOCKER_IMAGE_SHA_TAG}"
+    fi
+  )
+fi

.ci/docker/linter-cuda/Dockerfile

@@ -18,31 +18,28 @@ COPY ./common/install_user.sh install_user.sh
 RUN bash ./install_user.sh && rm install_user.sh
 
 # Install conda and other packages (e.g., numpy, pytest)
-ARG PYTHON_VERSION
-ARG PIP_CMAKE
-# Put venv into the env vars so users don't need to activate it
-ENV PATH /var/lib/jenkins/ci_env/bin:$PATH
-ENV VIRTUAL_ENV /var/lib/jenkins/ci_env
-COPY requirements-ci.txt /opt/requirements-ci.txt
-COPY ./common/install_python.sh install_python.sh
-RUN bash ./install_python.sh && rm install_python.sh /opt/requirements-ci.txt
+ARG ANACONDA_PYTHON_VERSION
+ARG CONDA_CMAKE
+ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
+ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
+COPY requirements-ci.txt /opt/conda/requirements-ci.txt
+COPY ./common/install_conda.sh install_conda.sh
+COPY ./common/common_utils.sh common_utils.sh
+COPY ./common/install_magma_conda.sh install_magma_conda.sh
+RUN bash ./install_conda.sh && rm install_conda.sh install_magma_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
 
 # Install cuda and cudnn
 ARG CUDA_VERSION
 COPY ./common/install_cuda.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu* install_cusparselt.sh
+RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh
 ENV DESIRED_CUDA ${CUDA_VERSION}
 ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:$PATH
 
 # Note that Docker build forbids copying file outside the build context
 COPY ./common/install_linter.sh install_linter.sh
+COPY ./common/common_utils.sh common_utils.sh
 RUN bash ./install_linter.sh
-RUN rm install_linter.sh
-
-RUN chown -R jenkins:jenkins /var/lib/jenkins/ci_env
+RUN rm install_linter.sh common_utils.sh
 
 USER jenkins
 CMD ["bash"]

.ci/docker/linter/Dockerfile

@@ -15,18 +15,20 @@ COPY ./common/install_user.sh install_user.sh
 RUN bash ./install_user.sh && rm install_user.sh
 
 # Install conda and other packages (e.g., numpy, pytest)
-ARG PYTHON_VERSION
-ARG PIP_CMAKE
-ENV PATH /var/lib/jenkins/ci_env/bin:$PATH
-ENV VIRTUAL_ENV /var/lib/jenkins/ci_env
-COPY requirements-ci.txt /opt/requirements-ci.txt
-COPY ./common/install_python.sh install_python.sh
-RUN bash ./install_python.sh && rm install_python.sh /opt/requirements-ci.txt
+ARG ANACONDA_PYTHON_VERSION
+ARG CONDA_CMAKE
+ENV ANACONDA_PYTHON_VERSION=$ANACONDA_PYTHON_VERSION
+ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
+COPY requirements-ci.txt /opt/conda/requirements-ci.txt
+COPY ./common/install_conda.sh install_conda.sh
+COPY ./common/common_utils.sh common_utils.sh
+RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements-ci.txt
 
 # Note that Docker build forbids copying file outside the build context
 COPY ./common/install_linter.sh install_linter.sh
+COPY ./common/common_utils.sh common_utils.sh
 RUN bash ./install_linter.sh
-RUN rm install_linter.sh
+RUN rm install_linter.sh common_utils.sh
 
 USER jenkins
 CMD ["bash"]

.ci/docker/manywheel/Dockerfile

@@ -0,0 +1,200 @@
+# syntax = docker/dockerfile:experimental
+ARG ROCM_VERSION=3.7
+ARG BASE_CUDA_VERSION=11.8
+
+ARG GPU_IMAGE=centos:7
+FROM centos:7 as base
+
+ENV LC_ALL en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US.UTF-8
+
+ARG DEVTOOLSET_VERSION=9
+
+# Note: This is required patch since CentOS have reached EOL
+# otherwise any yum install setp will fail
+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
+# Just add everything as a safe.directory for git since these will be used in multiple places with git
+RUN git config --global --add safe.directory '*'
+RUN yum install -y yum-utils centos-release-scl
+RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
+# Note: After running yum-config-manager --enable rhel-server-rhscl-7-rpms
+# patch is required once again. Somehow this steps adds mirror.centos.org
+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 devtoolset-${DEVTOOLSET_VERSION}-gcc devtoolset-${DEVTOOLSET_VERSION}-gcc-c++ devtoolset-${DEVTOOLSET_VERSION}-gcc-gfortran devtoolset-${DEVTOOLSET_VERSION}-binutils
+ENV PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
+ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
+
+RUN yum --enablerepo=extras install -y epel-release
+
+# cmake-3.18.4 from pip
+RUN yum install -y python3-pip && \
+    python3 -mpip install cmake==3.18.4 && \
+    ln -s /usr/local/bin/cmake /usr/bin/cmake
+
+RUN yum install -y autoconf aclocal automake make sudo
+
+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
+
+# EPEL for cmake
+FROM base as patchelf
+# Install patchelf
+ADD ./common/install_patchelf.sh install_patchelf.sh
+RUN bash ./install_patchelf.sh && rm install_patchelf.sh
+RUN cp $(which patchelf) /patchelf
+
+FROM patchelf as python
+# build python
+COPY manywheel/build_scripts /build_scripts
+ADD ./common/install_cpython.sh /build_scripts/install_cpython.sh
+RUN bash build_scripts/build.sh && rm -r build_scripts
+
+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=python             /opt/python                           /opt/python
+COPY --from=python             /opt/_internal                        /opt/_internal
+COPY --from=python             /opt/python/cp39-cp39/bin/auditwheel /usr/local/bin/auditwheel
+COPY --from=intel              /opt/intel                            /opt/intel
+COPY --from=patchelf           /usr/local/bin/patchelf               /usr/local/bin/patchelf
+COPY --from=jni                /usr/local/include/jni.h              /usr/local/include/jni.h
+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
+
+FROM common as cpu_final
+ARG BASE_CUDA_VERSION=10.1
+ARG DEVTOOLSET_VERSION=9
+# Install Anaconda
+ADD ./common/install_conda_docker.sh install_conda.sh
+RUN bash ./install_conda.sh && rm install_conda.sh
+ENV PATH /opt/conda/bin:$PATH
+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 yum-utils centos-release-scl
+RUN yum-config-manager --enable rhel-server-rhscl-7-rpms
+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 devtoolset-${DEVTOOLSET_VERSION}-gcc devtoolset-${DEVTOOLSET_VERSION}-gcc-c++ devtoolset-${DEVTOOLSET_VERSION}-gcc-gfortran devtoolset-${DEVTOOLSET_VERSION}-binutils
+ENV PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
+ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
+
+# cmake is already installed inside the rocm base image, so remove if present
+RUN rpm -e cmake || true
+# cmake-3.18.4 from pip
+RUN yum install -y python3-pip && \
+    python3 -mpip install cmake==3.18.4 && \
+    ln -s /usr/local/bin/cmake /usr/bin/cmake
+
+# ninja
+RUN yum install -y ninja-build
+
+FROM cpu_final as cuda_final
+RUN rm -rf /usr/local/cuda-${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}
+RUN ln -sf /usr/local/cuda-${BASE_CUDA_VERSION} /usr/local/cuda
+ENV PATH=/usr/local/cuda/bin:$PATH
+
+FROM cpu_final as rocm_final
+ARG ROCM_VERSION=3.7
+ARG PYTORCH_ROCM_ARCH
+ENV PYTORCH_ROCM_ARCH ${PYTORCH_ROCM_ARCH}
+# Adding ROCM_PATH env var so that LoadHip.cmake (even with logic updated for ROCm6.0)
+# find HIP works for ROCm5.7. Not needed for ROCm6.0 and above.
+# Remove below when ROCm5.7 is not in support matrix anymore.
+ENV ROCM_PATH /opt/rocm
+ENV MKLROOT /opt/intel
+# No need to install ROCm as base docker image should have full ROCm install
+#ADD ./common/install_rocm.sh install_rocm.sh
+#RUN ROCM_VERSION=${ROCM_VERSION} bash ./install_rocm.sh && rm install_rocm.sh
+ADD ./common/install_rocm_drm.sh install_rocm_drm.sh
+RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
+# cmake3 is needed for the MIOpen build
+RUN ln -sf /usr/local/bin/cmake /usr/bin/cmake3
+ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
+RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
+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

@@ -36,10 +36,7 @@ FROM base as cuda
 ARG BASE_CUDA_VERSION=11.8
 # Install CUDA
 ADD ./common/install_cuda.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh install_nccl.sh ci_commit_pins/nccl-cu* install_cusparselt.sh
+RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh
 
 FROM base as intel
 # MKL
@@ -161,7 +158,7 @@ ADD ./common/install_rocm_drm.sh install_rocm_drm.sh
 RUN bash ./install_rocm_drm.sh && rm install_rocm_drm.sh
 ENV MKLROOT /opt/intel
 ADD ./common/install_rocm_magma.sh install_rocm_magma.sh
-RUN bash ./install_rocm_magma.sh ${ROCM_VERSION} && rm install_rocm_magma.sh
+RUN bash ./install_rocm_magma.sh && rm install_rocm_magma.sh
 ADD ./common/install_miopen.sh install_miopen.sh
 RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh
 

.ci/docker/manywheel/Dockerfile_aarch64

@@ -0,0 +1,94 @@
+FROM quay.io/pypa/manylinux2014_aarch64 as base
+
+
+# Graviton needs GCC 10 for the build
+ARG DEVTOOLSET_VERSION=10
+
+# Language variabes
+ENV LC_ALL=en_US.UTF-8
+ENV LANG=en_US.UTF-8
+ENV LANGUAGE=en_US.UTF-8
+
+# Installed needed OS packages. This is to support all
+# the binary builds (torch, vision, audio, text, data)
+RUN yum -y install epel-release
+RUN yum -y update
+RUN yum install -y \
+  autoconf \
+  automake \
+  bison \
+  bzip2 \
+  curl \
+  diffutils \
+  file \
+  git \
+  make \
+  patch \
+  perl \
+  unzip \
+  util-linux \
+  wget \
+  which \
+  xz \
+  yasm \
+  less \
+  zstd \
+  libgomp \
+  sudo \
+  devtoolset-${DEVTOOLSET_VERSION}-gcc \
+  devtoolset-${DEVTOOLSET_VERSION}-gcc-c++ \
+  devtoolset-${DEVTOOLSET_VERSION}-gcc-gfortran \
+  devtoolset-${DEVTOOLSET_VERSION}-binutils
+
+# Ensure the expected devtoolset is used
+ENV PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/bin:$PATH
+ENV LD_LIBRARY_PATH=/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib64:/opt/rh/devtoolset-${DEVTOOLSET_VERSION}/root/usr/lib:$LD_LIBRARY_PATH
+
+
+# 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 "*"
+
+
+###############################################################################
+# libglfortran.a hack
+#
+# libgfortran.a from quay.io/pypa/manylinux2014_aarch64 is not compiled with -fPIC.
+# This causes __stack_chk_guard@@GLIBC_2.17 on pytorch build. To solve, get
+# ubuntu's libgfortran.a which is compiled with -fPIC
+# NOTE: Need a better way to get this library as Ubuntu's package can be removed by the vender, or changed
+###############################################################################
+RUN cd ~/ \
+  && curl -L -o ~/libgfortran-10-dev.deb http://ports.ubuntu.com/ubuntu-ports/pool/universe/g/gcc-10/libgfortran-10-dev_10.5.0-4ubuntu2_arm64.deb \
+  && ar x ~/libgfortran-10-dev.deb \
+  && tar --use-compress-program=unzstd -xvf data.tar.zst -C ~/ \
+  && cp -f ~/usr/lib/gcc/aarch64-linux-gnu/10/libgfortran.a /opt/rh/devtoolset-10/root/usr/lib/gcc/aarch64-redhat-linux/10/
+
+# install 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
+ENV SSL_CERT_FILE=/opt/_internal/certs.pem
+
+FROM base as openblas
+# Install openblas
+ADD ./common/install_openblas.sh install_openblas.sh
+RUN bash ./install_openblas.sh && rm install_openblas.sh
+
+FROM openssl as final
+# 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
+COPY --from=openblas     /opt/OpenBLAS/  /opt/OpenBLAS/
+ENV LD_LIBRARY_PATH=/opt/OpenBLAS/lib:$LD_LIBRARY_PATH

.ci/docker/manywheel/Dockerfile_cuda_aarch64

@@ -66,11 +66,8 @@ RUN rm -rf /opt/python/cp34-cp34m /opt/_internal/cpython-3.4.6
 FROM base as cuda
 ARG BASE_CUDA_VERSION
 # Install CUDA
-ADD ./common/install_cuda.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-RUN bash ./install_cuda.sh ${BASE_CUDA_VERSION} && rm install_cuda.sh install_nccl.sh ci_commit_pins/nccl-cu* install_cusparselt.sh
+ADD ./common/install_cuda_aarch64.sh install_cuda_aarch64.sh
+RUN bash ./install_cuda_aarch64.sh ${BASE_CUDA_VERSION} && rm install_cuda_aarch64.sh
 
 FROM base as magma
 ARG BASE_CUDA_VERSION

.ci/docker/manywheel/Dockerfile_s390x

@@ -42,7 +42,6 @@ RUN yum install -y \
   llvm-devel \
   libzstd-devel \
   python3.12-devel \
-  python3.12-test \
   python3.12-setuptools \
   python3.12-pip \
   python3-virtualenv \
@@ -102,33 +101,24 @@ CMD ["/bin/bash"]
 
 # install test dependencies:
 # - grpcio requires system openssl, bundled crypto fails to build
+# - ml_dtypes 0.4.0 requires some fixes provided in later commits to build
 RUN dnf install -y \
   protobuf-devel \
   protobuf-c-devel \
   protobuf-lite-devel \
-  hdf5-devel \
-  python3-h5py \
-  git
+  wget \
+  patch
 
-RUN env GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=True pip3 install grpcio
-
-# cmake-3.28.0 from pip for onnxruntime
-RUN python3 -mpip install cmake==3.28.0
-
-# build onnxruntime 1.21.0 from sources.
-# it is not possible to build it from sources using pip,
-# so just build it from upstream repository.
-# h5py is dependency of onnxruntime_training.
-# h5py==3.11.0 builds with hdf5-devel 1.10.5 from repository.
-# install newest flatbuffers version first:
-# for some reason old version is getting pulled in otherwise.
-# packaging package is required for onnxruntime wheel build.
-RUN pip3 install flatbuffers && \
-  pip3 install h5py==3.11.0 && \
-  pip3 install packaging && \
-  git clone https://github.com/microsoft/onnxruntime && \
-  cd onnxruntime && git checkout v1.21.0 && \
+RUN env GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=True pip3 install grpcio==1.65.4
+RUN cd ~ && \
+  git clone https://github.com/jax-ml/ml_dtypes && \
+  cd ml_dtypes && \
+  git checkout v0.4.0 && \
   git submodule update --init --recursive && \
-  ./build.sh --config Release --parallel 0 --enable_pybind --build_wheel --enable_training --enable_training_apis --enable_training_ops --skip_tests --allow_running_as_root && \
-  pip3 install ./build/Linux/Release/dist/onnxruntime_training-*.whl && \
-  cd .. && /bin/rm -rf ./onnxruntime
+  wget https://github.com/jax-ml/ml_dtypes/commit/b969f76914d6b30676721bc92bf0f6021a0d1321.patch && \
+  wget https://github.com/jax-ml/ml_dtypes/commit/d4e6d035ecda073eab8bcf60f4eef572ee7087e6.patch && \
+  patch -p1 < b969f76914d6b30676721bc92bf0f6021a0d1321.patch && \
+  patch -p1 < d4e6d035ecda073eab8bcf60f4eef572ee7087e6.patch && \
+  python3 setup.py bdist_wheel && \
+  pip3 install dist/*.whl && \
+  rm -rf ml_dtypes

.ci/docker/manywheel/build.sh

@@ -1,7 +1,7 @@
 #!/usr/bin/env bash
 # Script used only in CD pipeline
 
-set -exou pipefail
+set -eou pipefail
 
 TOPDIR=$(git rev-parse --show-toplevel)
 
@@ -9,102 +9,152 @@ image="$1"
 shift
 
 if [ -z "${image}" ]; then
-  echo "Usage: $0 IMAGE:ARCHTAG"
+  echo "Usage: $0 IMAGE"
   exit 1
 fi
 
-# Go from imagename:tag to tag
-DOCKER_TAG_PREFIX=$(echo "${image}" | awk -F':' '{print $2}')
+DOCKER_IMAGE="pytorch/${image}"
 
-GPU_ARCH_VERSION=""
-if [[ "${DOCKER_TAG_PREFIX}" == cuda* ]]; then
-    # extract cuda version from image name.  e.g. manylinux2_28-builder:cuda12.8 returns 12.8
-    GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'cuda' '{print $2}')
-elif [[ "${DOCKER_TAG_PREFIX}" == rocm* ]]; then
-    # extract rocm version from image name.  e.g. manylinux2_28-builder:rocm6.2.4 returns 6.2.4
-    GPU_ARCH_VERSION=$(echo "${DOCKER_TAG_PREFIX}" | awk -F'rocm' '{print $2}')
-fi
+DOCKER_REGISTRY="${DOCKER_REGISTRY:-docker.io}"
 
+GPU_ARCH_TYPE=${GPU_ARCH_TYPE:-cpu}
+GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
 MANY_LINUX_VERSION=${MANY_LINUX_VERSION:-}
 DOCKERFILE_SUFFIX=${DOCKERFILE_SUFFIX:-}
+WITH_PUSH=${WITH_PUSH:-}
 
-case ${image} in
-    manylinux2_28-builder:cpu)
+case ${GPU_ARCH_TYPE} in
+    cpu)
         TARGET=cpu_final
+        DOCKER_TAG=cpu
+        GPU_IMAGE=centos:7
+        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=9"
+        ;;
+    cpu-manylinux_2_28)
+        TARGET=cpu_final
+        DOCKER_TAG=cpu
         GPU_IMAGE=amd64/almalinux:8
         DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
         MANY_LINUX_VERSION="2_28"
         ;;
-    manylinux2_28_aarch64-builder:cpu-aarch64)
+    cpu-aarch64)
         TARGET=final
+        DOCKER_TAG=cpu-aarch64
+        GPU_IMAGE=arm64v8/centos:7
+        DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=10"
+        MANY_LINUX_VERSION="aarch64"
+        ;;
+    cpu-aarch64-2_28)
+        TARGET=final
+        DOCKER_TAG=cpu-aarch64
         GPU_IMAGE=arm64v8/almalinux:8
         DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11 --build-arg NINJA_VERSION=1.12.1"
         MANY_LINUX_VERSION="2_28_aarch64"
         ;;
-    manylinuxcxx11-abi-builder:cpu-cxx11-abi)
+    cpu-cxx11-abi)
         TARGET=final
+        DOCKER_TAG=cpu-cxx11-abi
         GPU_IMAGE=""
         DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=9"
         MANY_LINUX_VERSION="cxx11-abi"
         ;;
-    manylinuxs390x-builder:cpu-s390x)
+    cpu-s390x)
         TARGET=final
+        DOCKER_TAG=cpu-s390x
         GPU_IMAGE=s390x/almalinux:8
         DOCKER_GPU_BUILD_ARG=""
         MANY_LINUX_VERSION="s390x"
         ;;
-    manylinux2_28-builder:cuda*)
+    cuda)
         TARGET=cuda_final
+        DOCKER_TAG=cuda${GPU_ARCH_VERSION}
+        # Keep this up to date with the minimum version of CUDA we currently support
+        GPU_IMAGE=centos:7
+        DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=9"
+        ;;
+    cuda-manylinux_2_28)
+        TARGET=cuda_final
+        DOCKER_TAG=cuda${GPU_ARCH_VERSION}
         GPU_IMAGE=amd64/almalinux:8
         DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=11"
         MANY_LINUX_VERSION="2_28"
         ;;
-    manylinuxaarch64-builder:cuda*)
+    cuda-aarch64)
         TARGET=cuda_final
-        GPU_IMAGE=amd64/almalinux:8
+        DOCKER_TAG=cuda${GPU_ARCH_VERSION}
+        GPU_IMAGE=arm64v8/centos:7
         DOCKER_GPU_BUILD_ARG="--build-arg BASE_CUDA_VERSION=${GPU_ARCH_VERSION} --build-arg DEVTOOLSET_VERSION=11"
         MANY_LINUX_VERSION="aarch64"
         DOCKERFILE_SUFFIX="_cuda_aarch64"
         ;;
-    manylinux2_28-builder:rocm*)
+    rocm|rocm-manylinux_2_28)
         TARGET=rocm_final
-        MANY_LINUX_VERSION="2_28"
-        DEVTOOLSET_VERSION="11"
-        GPU_IMAGE=rocm/dev-almalinux-8:${GPU_ARCH_VERSION}-complete
+        DOCKER_TAG=rocm${GPU_ARCH_VERSION}
+        GPU_IMAGE=rocm/dev-centos-7:${GPU_ARCH_VERSION}-complete
+        DEVTOOLSET_VERSION="9"
+        if [ ${GPU_ARCH_TYPE} == "rocm-manylinux_2_28" ]; then
+            MANY_LINUX_VERSION="2_28"
+            DEVTOOLSET_VERSION="11"
+            GPU_IMAGE=rocm/dev-almalinux-8:${GPU_ARCH_VERSION}-complete
+        fi
         PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
         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}"
         ;;
-    manylinux2_28-builder:xpu)
+    xpu)
         TARGET=xpu_final
+        DOCKER_TAG=xpu
         GPU_IMAGE=amd64/almalinux:8
         DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=11"
         MANY_LINUX_VERSION="2_28"
         ;;
     *)
-        echo "ERROR: Unrecognized image name: ${image}"
+        echo "ERROR: Unrecognized GPU_ARCH_TYPE: ${GPU_ARCH_TYPE}"
         exit 1
         ;;
 esac
 
+IMAGES=''
+
 if [[ -n ${MANY_LINUX_VERSION} && -z ${DOCKERFILE_SUFFIX} ]]; then
     DOCKERFILE_SUFFIX=_${MANY_LINUX_VERSION}
 fi
-# Only activate this if in CI
-if [ "$(uname -m)" != "s390x" ] && [ -v CI ]; then
-    # TODO: Remove LimitNOFILE=1048576 patch once https://github.com/pytorch/test-infra/issues/5712
-    # is resolved. This patch is required in order to fix timing out of Docker build on Amazon Linux 2023.
-    sudo sed -i s/LimitNOFILE=infinity/LimitNOFILE=1048576/ /usr/lib/systemd/system/docker.service
-    sudo systemctl daemon-reload
-    sudo systemctl restart docker
+(
+    set -x
+
+    # Only activate this if in CI
+    if [ "$(uname -m)" != "s390x" ] && [ -v CI ]; 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
+        sudo systemctl daemon-reload
+        sudo systemctl restart docker
+    fi
+
+    DOCKER_BUILDKIT=1 docker build  \
+        ${DOCKER_GPU_BUILD_ARG} \
+        --build-arg "GPU_IMAGE=${GPU_IMAGE}" \
+        --target "${TARGET}" \
+        -t "${DOCKER_IMAGE}" \
+        $@ \
+        -f "${TOPDIR}/.ci/docker/manywheel/Dockerfile${DOCKERFILE_SUFFIX}" \
+        "${TOPDIR}/.ci/docker/"
+)
+
+GITHUB_REF=${GITHUB_REF:-"dev")}
+GIT_BRANCH_NAME=${GITHUB_REF##*/}
+GIT_COMMIT_SHA=${GITHUB_SHA:-$(git rev-parse HEAD)}
+DOCKER_IMAGE_BRANCH_TAG=${DOCKER_IMAGE}-${GIT_BRANCH_NAME}
+DOCKER_IMAGE_SHA_TAG=${DOCKER_IMAGE}-${GIT_COMMIT_SHA}
+
+if [[ "${WITH_PUSH}" == true ]]; then
+    (
+        set -x
+        docker push "${DOCKER_IMAGE}"
+        if [[ -n ${GITHUB_REF} ]]; then
+            docker tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_BRANCH_TAG}
+            docker tag ${DOCKER_IMAGE} ${DOCKER_IMAGE_SHA_TAG}
+            docker push "${DOCKER_IMAGE_BRANCH_TAG}"
+            docker push "${DOCKER_IMAGE_SHA_TAG}"
+        fi
+    )
 fi
-
-tmp_tag=$(basename "$(mktemp -u)" | tr '[:upper:]' '[:lower:]')
-
-DOCKER_BUILDKIT=1 docker build  \
-    ${DOCKER_GPU_BUILD_ARG} \
-    --build-arg "GPU_IMAGE=${GPU_IMAGE}" \
-    --target "${TARGET}" \
-    -t "${tmp_tag}" \
-    $@ \
-    -f "${TOPDIR}/.ci/docker/manywheel/Dockerfile${DOCKERFILE_SUFFIX}" \
-    "${TOPDIR}/.ci/docker/"

.ci/docker/requirements-ci.txt

@@ -41,14 +41,11 @@ fbscribelogger==0.1.7
 #Pinned versions: 0.1.6
 #test that import:
 
-flatbuffers==2.0 ; platform_machine != "s390x"
+flatbuffers==2.0
 #Description: cross platform serialization library
 #Pinned versions: 2.0
 #test that import:
 
-flatbuffers ; platform_machine == "s390x"
-#Description: cross platform serialization library; Newer version is required on s390x for new python version
-
 hypothesis==5.35.1
 # Pin hypothesis to avoid flakiness: https://github.com/pytorch/pytorch/issues/31136
 #Description: advanced library for generating parametrized tests
@@ -105,10 +102,10 @@ networkx==2.8.8
 #Pinned versions: 2.8.8
 #test that import: functorch
 
-ninja==1.11.1.3
-#Description: build system. Used in some tests. Used in build to generate build
-#time tracing information
-#Pinned versions: 1.11.1.3
+#ninja
+#Description: build system.  Note that it install from
+#here breaks things so it is commented out
+#Pinned versions: 1.10.0.post1
 #test that import: run_test.py, test_cpp_extensions_aot.py,test_determination.py
 
 numba==0.49.0 ; python_version < "3.9"
@@ -356,7 +353,7 @@ parameterized==0.8.1
 #Pinned versions: 1.24.0
 #test that import: test_sac_estimator.py
 
-pwlf==2.2.1
+pwlf==2.2.1 ; python_version >= "3.8"
 #Description: required for testing torch/distributed/_tools/sac_estimator.py
 #Pinned versions: 2.2.1
 #test that import: test_sac_estimator.py
@@ -368,9 +365,10 @@ PyYAML
 pyzstd
 setuptools
 
+ninja==1.11.1 ; platform_machine == "aarch64"
 scons==4.5.2 ; platform_machine == "aarch64"
 
-pulp==2.9.0
+pulp==2.9.0 ; python_version >= "3.8"
 #Description: required for testing ilp formulaiton under torch/distributed/_tools
 #Pinned versions: 2.9.0
 #test that import: test_sac_ilp.py

.ci/docker/requirements-docs.txt

@@ -1,20 +1,15 @@
 sphinx==5.3.0
 #Description: This is used to generate PyTorch docs
 #Pinned versions: 5.3.0
--e git+https://github.com/pytorch/pytorch_sphinx_theme.git@pytorch_sphinx_theme2#egg=pytorch_sphinx_theme2
+-e git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme
 
 # TODO: sphinxcontrib.katex 0.9.0 adds a local KaTeX server to speed up pre-rendering
 # but it doesn't seem to work and hangs around idly. The initial thought is probably
 # something related to Docker setup. We can investigate this later
-
 sphinxcontrib.katex==0.8.6
 #Description: This is used to generate PyTorch docs
 #Pinned versions: 0.8.6
 
-sphinxext-opengraph==0.9.1
-#Description: This is used to generate PyTorch docs
-#Pinned versions: 0.9.1
-
 matplotlib==3.5.3
 #Description: This is used to generate PyTorch docs
 #Pinned versions: 3.5.3
@@ -51,6 +46,5 @@ myst-nb==0.17.2
 # The following are required to build torch.distributed.elastic.rendezvous.etcd* docs
 python-etcd==0.4.5
 sphinx-copybutton==0.5.0
-sphinx-design==0.4.0
-sphinxcontrib-mermaid==1.0.0
+sphinx-panels==0.4.1
 myst-parser==0.18.1

.ci/docker/triton_version.txt

@@ -1 +1 @@
-3.3.0
+3.3.1

.ci/docker/ubuntu-cuda/Dockerfile

@@ -2,7 +2,7 @@ ARG UBUNTU_VERSION
 ARG CUDA_VERSION
 ARG IMAGE_NAME
 
-FROM ${IMAGE_NAME} as base
+FROM ${IMAGE_NAME}
 
 ARG UBUNTU_VERSION
 ARG CUDA_VERSION
@@ -43,6 +43,20 @@ ARG CLANG_VERSION
 COPY ./common/install_clang.sh install_clang.sh
 RUN bash ./install_clang.sh && rm install_clang.sh
 
+# (optional) Install protobuf for ONNX
+ARG PROTOBUF
+COPY ./common/install_protobuf.sh install_protobuf.sh
+RUN if [ -n "${PROTOBUF}" ]; then bash ./install_protobuf.sh; fi
+RUN rm install_protobuf.sh
+ENV INSTALLED_PROTOBUF ${PROTOBUF}
+
+# (optional) Install database packages like LMDB and LevelDB
+ARG DB
+COPY ./common/install_db.sh install_db.sh
+RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
+RUN rm install_db.sh
+ENV INSTALLED_DB ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
@@ -83,20 +97,14 @@ RUN if [ -n "${CMAKE_VERSION}" ]; then bash ./install_cmake.sh; fi
 RUN rm install_cmake.sh
 
 ARG TRITON
-
-FROM base as triton-builder
 # Install triton, this needs to be done before sccache because the latter will
 # try to reach out to S3, which docker build runners don't have access
 COPY ./common/install_triton.sh install_triton.sh
 COPY ./common/common_utils.sh common_utils.sh
 COPY ci_commit_pins/triton.txt triton.txt
 COPY triton_version.txt triton_version.txt
-RUN bash ./install_triton.sh
-
-FROM base as final
-COPY --from=triton-builder /opt/triton /opt/triton
-RUN if [ -n "${TRITON}" ]; then pip install /opt/triton/*.whl; chown -R jenkins:jenkins /opt/conda; fi
-RUN rm -rf /opt/triton
+RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
+RUN rm install_triton.sh common_utils.sh triton.txt triton_version.txt
 
 ARG HALIDE
 # Build and install halide
@@ -151,16 +159,6 @@ COPY ./common/install_cusparselt.sh install_cusparselt.sh
 RUN bash install_cusparselt.sh
 RUN rm install_cusparselt.sh
 
-# Install NCCL
-ARG CUDA_VERSION
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-RUN bash install_nccl.sh
-RUN rm install_nccl.sh /ci_commit_pins/nccl-cu*
-ENV USE_SYSTEM_NCCL=1
-ENV NCCL_INCLUDE_DIR="/usr/local/cuda/include/"
-ENV NCCL_LIB_DIR="/usr/local/cuda/lib64/"
-
 # Install CUDSS
 ARG CUDA_VERSION
 COPY ./common/install_cudss.sh install_cudss.sh

.ci/docker/ubuntu-rocm/Dockerfile

@@ -43,6 +43,20 @@ ARG CLANG_VERSION
 COPY ./common/install_clang.sh install_clang.sh
 RUN bash ./install_clang.sh && rm install_clang.sh
 
+# (optional) Install protobuf for ONNX
+ARG PROTOBUF
+COPY ./common/install_protobuf.sh install_protobuf.sh
+RUN if [ -n "${PROTOBUF}" ]; then bash ./install_protobuf.sh; fi
+RUN rm install_protobuf.sh
+ENV INSTALLED_PROTOBUF ${PROTOBUF}
+
+# (optional) Install database packages like LMDB and LevelDB
+ARG DB
+COPY ./common/install_db.sh install_db.sh
+RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
+RUN rm install_db.sh
+ENV INSTALLED_DB ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
@@ -56,7 +70,7 @@ COPY ./common/install_rocm.sh install_rocm.sh
 RUN bash ./install_rocm.sh
 RUN rm install_rocm.sh
 COPY ./common/install_rocm_magma.sh install_rocm_magma.sh
-RUN bash ./install_rocm_magma.sh ${ROCM_VERSION}
+RUN bash ./install_rocm_magma.sh
 RUN rm install_rocm_magma.sh
 ADD ./common/install_miopen.sh install_miopen.sh
 RUN bash ./install_miopen.sh ${ROCM_VERSION} && rm install_miopen.sh

.ci/docker/ubuntu-xpu/Dockerfile

@@ -77,6 +77,13 @@ COPY triton_version.txt triton_version.txt
 RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
 RUN rm install_triton.sh common_utils.sh triton-xpu.txt triton_version.txt
 
+# (optional) Install database packages like LMDB and LevelDB
+ARG DB
+COPY ./common/install_db.sh install_db.sh
+RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
+RUN rm install_db.sh
+ENV INSTALLED_DB ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./

.ci/docker/ubuntu/Dockerfile

@@ -1,6 +1,6 @@
 ARG UBUNTU_VERSION
 
-FROM ubuntu:${UBUNTU_VERSION} as base
+FROM ubuntu:${UBUNTU_VERSION}
 
 ARG UBUNTU_VERSION
 
@@ -52,17 +52,9 @@ RUN  bash ./install_lcov.sh && rm install_lcov.sh
 # Install cuda and cudnn
 ARG CUDA_VERSION
 COPY ./common/install_cuda.sh install_cuda.sh
-COPY ./common/install_nccl.sh install_nccl.sh
-COPY ./ci_commit_pins/nccl-cu* /ci_commit_pins/
-COPY ./common/install_cusparselt.sh install_cusparselt.sh
-RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh install_nccl.sh /ci_commit_pins/nccl-cu* install_cusparselt.sh
+RUN bash ./install_cuda.sh ${CUDA_VERSION} && rm install_cuda.sh
 ENV DESIRED_CUDA ${CUDA_VERSION}
 ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:$PATH
-# No effect if cuda not installed
-ENV USE_SYSTEM_NCCL=1
-ENV NCCL_INCLUDE_DIR="/usr/local/cuda/include/"
-ENV NCCL_LIB_DIR="/usr/local/cuda/lib64/"
-
 
 # (optional) Install UCC
 ARG UCX_COMMIT
@@ -75,6 +67,20 @@ ADD ./common/install_ucc.sh install_ucc.sh
 RUN if [ -n "${UCX_COMMIT}" ] && [ -n "${UCC_COMMIT}" ]; then bash ./install_ucc.sh; fi
 RUN rm install_ucc.sh
 
+# (optional) Install protobuf for ONNX
+ARG PROTOBUF
+COPY ./common/install_protobuf.sh install_protobuf.sh
+RUN if [ -n "${PROTOBUF}" ]; then bash ./install_protobuf.sh; fi
+RUN rm install_protobuf.sh
+ENV INSTALLED_PROTOBUF ${PROTOBUF}
+
+# (optional) Install database packages like LMDB and LevelDB
+ARG DB
+COPY ./common/install_db.sh install_db.sh
+RUN if [ -n "${DB}" ]; then bash ./install_db.sh; fi
+RUN rm install_db.sh
+ENV INSTALLED_DB ${DB}
+
 # (optional) Install vision packages like OpenCV
 ARG VISION
 COPY ./common/install_vision.sh ./common/cache_vision_models.sh ./common/common_utils.sh ./
@@ -82,6 +88,18 @@ RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
 RUN rm install_vision.sh cache_vision_models.sh common_utils.sh
 ENV INSTALLED_VISION ${VISION}
 
+# (optional) Install Vulkan SDK
+ARG VULKAN_SDK_VERSION
+COPY ./common/install_vulkan_sdk.sh install_vulkan_sdk.sh
+RUN if [ -n "${VULKAN_SDK_VERSION}" ]; then bash ./install_vulkan_sdk.sh; fi
+RUN rm install_vulkan_sdk.sh
+
+# (optional) Install swiftshader
+ARG SWIFTSHADER
+COPY ./common/install_swiftshader.sh install_swiftshader.sh
+RUN if [ -n "${SWIFTSHADER}" ]; then bash ./install_swiftshader.sh; fi
+RUN rm install_swiftshader.sh
+
 # (optional) Install non-default CMake version
 ARG CMAKE_VERSION
 COPY ./common/install_cmake.sh install_cmake.sh
@@ -109,21 +127,20 @@ RUN if [ -n "${INDUCTOR_BENCHMARKS}" ]; then bash ./install_inductor_benchmark_d
 RUN rm install_inductor_benchmark_deps.sh common_utils.sh timm.txt huggingface.txt
 
 ARG TRITON
-ARG TRITON_CPU
-
-# Create a separate stage for building Triton and Triton-CPU.  install_triton
-# will check for the presence of env vars
-FROM base as triton-builder
+# Install triton, this needs to be done before sccache because the latter will
+# try to reach out to S3, which docker build runners don't have access
 COPY ./common/install_triton.sh install_triton.sh
 COPY ./common/common_utils.sh common_utils.sh
 COPY ci_commit_pins/triton.txt triton.txt
-COPY ci_commit_pins/triton-cpu.txt triton-cpu.txt
-RUN bash ./install_triton.sh
+RUN if [ -n "${TRITON}" ]; then bash ./install_triton.sh; fi
+RUN rm install_triton.sh common_utils.sh triton.txt
 
-FROM base as final
-COPY --from=triton-builder /opt/triton /opt/triton
-RUN if [ -n "${TRITON}" ] || [ -n "${TRITON_CPU}" ]; then pip install /opt/triton/*.whl; chown -R jenkins:jenkins /opt/conda; fi
-RUN rm -rf /opt/triton
+ARG TRITON_CPU
+COPY ./common/install_triton.sh install_triton.sh
+COPY ./common/common_utils.sh common_utils.sh
+COPY ci_commit_pins/triton-cpu.txt triton-cpu.txt
+RUN if [ -n "${TRITON_CPU}" ]; then bash ./install_triton.sh; fi
+RUN rm install_triton.sh common_utils.sh triton-cpu.txt
 
 ARG EXECUTORCH
 # Build and install executorch

.ci/magma-rocm/.gitignore

@@ -1,2 +0,0 @@
-output/
-magma-rocm*/

.ci/magma-rocm/Makefile

@@ -1,35 +0,0 @@
-SHELL=/usr/bin/env bash
-
-DOCKER_CMD ?= docker
-DESIRED_ROCM ?= 6.4
-DESIRED_ROCM_SHORT = $(subst .,,$(DESIRED_ROCM))
-PACKAGE_NAME = magma-rocm
-# inherit this from underlying docker image, do not pass this env var to docker
-#PYTORCH_ROCM_ARCH ?= gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201
-
-DOCKER_RUN = set -eou pipefail; ${DOCKER_CMD} run --rm -i \
-	-v $(shell git rev-parse --show-toplevel)/.ci:/builder \
-	-w /builder \
-	-e PACKAGE_NAME=${PACKAGE_NAME}${DESIRED_ROCM_SHORT} \
-	-e DESIRED_ROCM=${DESIRED_ROCM} \
-	"pytorch/almalinux-builder:rocm${DESIRED_ROCM}" \
-	magma-rocm/build_magma.sh
-
-.PHONY: all
-all: magma-rocm64
-all: magma-rocm63
-
-.PHONY:
-clean:
-	$(RM) -r magma-*
-	$(RM) -r output
-
-.PHONY: magma-rocm64
-magma-rocm64: DESIRED_ROCM := 6.4
-magma-rocm64:
-	$(DOCKER_RUN)
-
-.PHONY: magma-rocm63
-magma-rocm63: DESIRED_ROCM := 6.3
-magma-rocm63:
-	$(DOCKER_RUN)

.ci/magma-rocm/README.md

@@ -1,48 +0,0 @@
-# Magma ROCm
-
-This folder contains the scripts and configurations to build libmagma.so, linked for various versions of ROCm.
-
-## Building
-
-Look in the `Makefile` for available targets to build. To build any target, for example `magma-rocm63`, run
-
-```
-# Using `docker`
-make magma-rocm63
-
-# Using `podman`
-DOCKER_CMD=podman make magma-rocm63
-```
-
-This spawns a `pytorch/manylinux-rocm<version>` docker image, which has the required `devtoolset` and ROCm versions installed.
-Within the docker image, it runs `build_magma.sh` with the correct environment variables set, which package the necessary files
-into a tarball, with the following structure:
-
-```
-.
-├── include       # header files
-├── lib           # libmagma.so
-├── info
-│   ├── licenses  # license file
-│   └── recipe    # build script
-```
-
-More specifically, `build_magma.sh` copies over the relevant files from the `package_files` directory depending on the ROCm version.
-Outputted binaries should be in the `output` folder.
-
-
-## Pushing
-
-Packages can be uploaded to an S3 bucket using:
-
-```
-aws s3 cp output/*/magma-cuda*.bz2 <bucket-with-path>
-```
-
-If you do not have upload permissions, please ping @seemethere or @soumith to gain access
-
-## New versions
-
-New ROCm versions can be added by creating a new make target with the next desired version. For ROCm version N.n, the target should be named `magma-rocmNn`.
-
-Make sure to edit the appropriate environment variables (e.g., DESIRED_ROCM) in the `Makefile` accordingly. Remember also to check `build_magma.sh` to ensure the logic for copying over the files remains correct.

.ci/magma-rocm/build_magma.sh

@@ -1,42 +0,0 @@
-#!/usr/bin/env bash
-
-set -eou pipefail
-
-# Environment variables
-# The script expects DESIRED_CUDA and PACKAGE_NAME to be set
-ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
-
-# Version 2.7.2 + ROCm related updates
-MAGMA_VERSION=a1625ff4d9bc362906bd01f805dbbe12612953f6
-
-# Folders for the build
-PACKAGE_FILES=${ROOT_DIR}/magma-rocm/package_files # metadata
-PACKAGE_DIR=${ROOT_DIR}/magma-rocm/${PACKAGE_NAME} # build workspace
-PACKAGE_OUTPUT=${ROOT_DIR}/magma-rocm/output # where tarballs are stored
-PACKAGE_BUILD=${PACKAGE_DIR} # where the content of the tarball is prepared
-PACKAGE_RECIPE=${PACKAGE_BUILD}/info/recipe
-PACKAGE_LICENSE=${PACKAGE_BUILD}/info/licenses
-mkdir -p ${PACKAGE_DIR} ${PACKAGE_OUTPUT}/linux-64 ${PACKAGE_BUILD} ${PACKAGE_RECIPE} ${PACKAGE_LICENSE}
-
-# Fetch magma sources and verify checksum
-pushd ${PACKAGE_DIR}
-git clone https://bitbucket.org/icl/magma.git
-pushd magma
-git checkout ${MAGMA_VERSION}
-popd
-popd
-
-# build
-pushd ${PACKAGE_DIR}/magma
-# The build.sh script expects to be executed from the sources root folder
-INSTALL_DIR=${PACKAGE_BUILD} ${PACKAGE_FILES}/build.sh
-popd
-
-# Package recipe, license and tarball
-# Folder and package name are backward compatible for the build workflow
-cp ${PACKAGE_FILES}/build.sh ${PACKAGE_RECIPE}/build.sh
-cp ${PACKAGE_DIR}/magma/COPYRIGHT ${PACKAGE_LICENSE}/COPYRIGHT
-pushd ${PACKAGE_BUILD}
-tar cjf ${PACKAGE_OUTPUT}/linux-64/${PACKAGE_NAME}-${MAGMA_VERSION}-1.tar.bz2 include lib info
-echo Built in ${PACKAGE_OUTPUT}/linux-64/${PACKAGE_NAME}-${MAGMA_VERSION}-1.tar.bz2
-popd

.ci/magma-rocm/package_files/build.sh

@@ -1,38 +0,0 @@
-# Magma build scripts need `python`
-ln -sf /usr/bin/python3 /usr/bin/python
-
-ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
-case "$ID" in
-  almalinux)
-    yum install -y gcc-gfortran
-    ;;
-  *)
-    echo "No preinstalls to build magma..."
-    ;;
-esac
-
-MKLROOT=${MKLROOT:-/opt/conda/envs/py_$ANACONDA_PYTHON_VERSION}
-
-cp make.inc-examples/make.inc.hip-gcc-mkl make.inc
-echo 'LIBDIR += -L$(MKLROOT)/lib' >> make.inc
-if [[ -f "${MKLROOT}/lib/libmkl_core.a" ]]; then
-    echo 'LIB = -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -Wl,--end-group -lpthread -lstdc++ -lm -lgomp -lhipblas -lhipsparse' >> make.inc
-fi
-echo 'LIB += -Wl,--enable-new-dtags -Wl,--rpath,/opt/rocm/lib -Wl,--rpath,$(MKLROOT)/lib -Wl,--rpath,/opt/rocm/magma/lib -ldl' >> make.inc
-echo 'DEVCCFLAGS += --gpu-max-threads-per-block=256' >> make.inc
-export PATH="${PATH}:/opt/rocm/bin"
-if [[ -n "$PYTORCH_ROCM_ARCH" ]]; then
-  amdgpu_targets=`echo $PYTORCH_ROCM_ARCH | sed 's/;/ /g'`
-else
-  amdgpu_targets=`rocm_agent_enumerator | grep -v gfx000 | sort -u | xargs`
-fi
-for arch in $amdgpu_targets; do
-  echo "DEVCCFLAGS += --offload-arch=$arch" >> make.inc
-done
-# hipcc with openmp flag may cause isnan() on __device__ not to be found; depending on context, compiler may attempt to match with host definition
-sed -i 's/^FOPENMP/#FOPENMP/g' make.inc
-make -f make.gen.hipMAGMA -j $(nproc)
-LANG=C.UTF-8 make lib/libmagma.so -j $(nproc) MKLROOT="${MKLROOT}"
-make testing/testing_dgemm -j $(nproc) MKLROOT="${MKLROOT}"
-cp -R lib ${INSTALL_DIR}
-cp -R include ${INSTALL_DIR}

.ci/magma/Makefile

@@ -12,12 +12,13 @@ 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="${CUDA_ARCH_LIST}" \
-	"pytorch/almalinux-builder:cuda${DESIRED_CUDA}-main" \
+	"pytorch/manylinux2_28-builder:cuda${DESIRED_CUDA}-main" \
 	magma/build_magma.sh
 
 .PHONY: all
 all: magma-cuda128
 all: magma-cuda126
+all: magma-cuda124
 all: magma-cuda118
 
 .PHONY:
@@ -36,6 +37,11 @@ magma-cuda126: DESIRED_CUDA := 12.6
 magma-cuda126:
 	$(DOCKER_RUN)
 
+.PHONY: magma-cuda124
+magma-cuda124: DESIRED_CUDA := 12.4
+magma-cuda124:
+	$(DOCKER_RUN)
+
 .PHONY: magma-cuda118
 magma-cuda118: DESIRED_CUDA := 11.8
 magma-cuda118: CUDA_ARCH_LIST += -gencode arch=compute_37,code=sm_37

.ci/manywheel/build_common.sh

@@ -111,6 +111,12 @@ case ${DESIRED_PYTHON} in
     ;;
 esac
 
+if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    export _GLIBCXX_USE_CXX11_ABI=1
+else
+    export _GLIBCXX_USE_CXX11_ABI=0
+fi
+
 if [[ "$DESIRED_CUDA" == *"rocm"* ]]; then
     echo "Calling build_amd.py at $(date)"
     python tools/amd_build/build_amd.py
@@ -203,6 +209,12 @@ if [[ -n "$BUILD_PYTHONLESS" ]]; then
 
     mkdir -p /tmp/$LIBTORCH_HOUSE_DIR
 
+    if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+        LIBTORCH_ABI="cxx11-abi-"
+    else
+        LIBTORCH_ABI=
+    fi
+
     zip -rq /tmp/$LIBTORCH_HOUSE_DIR/libtorch-$LIBTORCH_ABI$LIBTORCH_VARIANT-$PYTORCH_BUILD_VERSION.zip libtorch
     cp /tmp/$LIBTORCH_HOUSE_DIR/libtorch-$LIBTORCH_ABI$LIBTORCH_VARIANT-$PYTORCH_BUILD_VERSION.zip \
        /tmp/$LIBTORCH_HOUSE_DIR/libtorch-$LIBTORCH_ABI$LIBTORCH_VARIANT-latest.zip
@@ -321,8 +333,8 @@ for pkg in /$WHEELHOUSE_DIR/torch_no_python*.whl /$WHEELHOUSE_DIR/torch*linux*.w
             # ROCm workaround for roctracer dlopens
             if [[ "$DESIRED_CUDA" == *"rocm"* ]]; then
                 patchedpath=$(fname_without_so_number $destpath)
-            # Keep the so number for XPU dependencies
-            elif [[ "$DESIRED_CUDA" == *"xpu"* ]]; then
+            # Keep the so number for XPU dependencies and libgomp.so.1 to avoid twice load
+            elif [[ "$DESIRED_CUDA" == *"xpu"* || "$filename" == "libgomp.so.1" ]]; then
                 patchedpath=$destpath
             else
                 patchedpath=$(fname_with_sha256 $destpath)

.ci/manywheel/build_libtorch.sh

@@ -95,6 +95,12 @@ python setup.py clean
 retry pip install -qr requirements.txt
 retry pip install -q numpy==2.0.1
 
+if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    export _GLIBCXX_USE_CXX11_ABI=1
+else
+    export _GLIBCXX_USE_CXX11_ABI=0
+fi
+
 if [[ "$DESIRED_CUDA" == *"rocm"* ]]; then
     echo "Calling build_amd.py at $(date)"
     python tools/amd_build/build_amd.py
@@ -163,6 +169,12 @@ fi
 
 )
 
+if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    LIBTORCH_ABI="cxx11-abi-"
+else
+    LIBTORCH_ABI=
+fi
+
 (
     set -x
 

.ci/pytorch/build.sh

@@ -35,7 +35,7 @@ if [[ "$BUILD_ENVIRONMENT" == *cuda* ]]; then
 fi
 
 if [[ "$BUILD_ENVIRONMENT" == *cuda11* ]]; then
-  if [[ "$BUILD_ENVIRONMENT" != *clang* ]]; then
+  if [[ "$BUILD_ENVIRONMENT" != *cuda11.3* && "$BUILD_ENVIRONMENT" != *clang* ]]; then
     # TODO: there is a linking issue when building with UCC using clang,
     # disable it for now and to be fix later.
     # TODO: disable UCC temporarily to enable CUDA 12.1 in CI
@@ -277,8 +277,10 @@ else
     # or building non-XLA tests.
     if [[ "$BUILD_ENVIRONMENT" != *rocm*  &&
           "$BUILD_ENVIRONMENT" != *xla* ]]; then
-      # Install numpy-2.0.2 for builds which are backward compatible with 1.X
-      python -mpip install numpy==2.0.2
+      if [[ "$BUILD_ENVIRONMENT" != *py3.8* ]]; then
+        # Install numpy-2.0.2 for builds which are backward compatible with 1.X
+        python -mpip install numpy==2.0.2
+      fi
 
       WERROR=1 python setup.py clean
 
@@ -301,18 +303,6 @@ else
     fi
     pip_install_whl "$(echo dist/*.whl)"
 
-    if [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
-      echo "Checking that xpu is compiled"
-      pushd dist/
-      if python -c 'import torch; exit(0 if torch.xpu._is_compiled() else 1)'; then
-        echo "XPU support is compiled in."
-      else
-        echo "XPU support is NOT compiled in."
-        exit 1
-      fi
-      popd
-    fi
-
     # TODO: I'm not sure why, but somehow we lose verbose commands
     set -x
 

.ci/pytorch/check_binary.sh

@@ -63,12 +63,64 @@ fi
 # Check GCC ABI
 ###############################################################################
 
-# NOTE: As of https://github.com/pytorch/pytorch/issues/126551 we only produce
-#       wheels with cxx11-abi
+# NOTE [ Building libtorch with old vs. new gcc ABI ]
+#
+# Packages built with one version of ABI could not be linked against by client
+# C++ libraries that were compiled using the other version of ABI. Since both
+# gcc ABIs are still common in the wild, we need to support both ABIs. Currently:
+#
+# - All the nightlies built on CentOS 7 + devtoolset7 use the old gcc ABI.
+# - All the nightlies built on Ubuntu 16.04 + gcc 5.4 use the new gcc ABI.
 
 echo "Checking that the gcc ABI is what we expect"
 if [[ "$(uname)" != 'Darwin' ]]; then
-  # We also check that there are cxx11 symbols in libtorch
+  function is_expected() {
+    if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* || "$DESIRED_CUDA" == *"rocm"* ]]; then
+      if [[ "$1" -gt 0 || "$1" == "ON " ]]; then
+        echo 1
+      fi
+    else
+      if [[ -z "$1" || "$1" == 0 || "$1" == "OFF" ]]; then
+        echo 1
+      fi
+    fi
+  }
+
+  # First we check that the env var in TorchConfig.cmake is correct
+
+  # We search for D_GLIBCXX_USE_CXX11_ABI=1 in torch/TorchConfig.cmake
+  torch_config="${install_root}/share/cmake/Torch/TorchConfig.cmake"
+  if [[ ! -f "$torch_config" ]]; then
+    echo "No TorchConfig.cmake found!"
+    ls -lah "$install_root/share/cmake/Torch"
+    exit 1
+  fi
+  echo "Checking the TorchConfig.cmake"
+  cat "$torch_config"
+
+  # The sed call below is
+  #   don't print lines by default (only print the line we want)
+  # -n
+  #   execute the following expression
+  # e
+  #   replace lines that match with the first capture group and print
+  # s/.*D_GLIBCXX_USE_CXX11_ABI=\(.\)".*/\1/p
+  #   any characters, D_GLIBCXX_USE_CXX11_ABI=, exactly one any character, a
+  #   quote, any characters
+  #   Note the exactly one single character after the '='. In the case that the
+  #     variable is not set the '=' will be followed by a '"' immediately and the
+  #     line will fail the match and nothing will be printed; this is what we
+  #     want.  Otherwise it will capture the 0 or 1 after the '='.
+  # /.*D_GLIBCXX_USE_CXX11_ABI=\(.\)".*/
+  #   replace the matched line with the capture group and print
+  # /\1/p
+  actual_gcc_abi="$(sed -ne 's/.*D_GLIBCXX_USE_CXX11_ABI=\(.\)".*/\1/p' < "$torch_config")"
+  if [[ "$(is_expected "$actual_gcc_abi")" != 1 ]]; then
+    echo "gcc ABI $actual_gcc_abi not as expected."
+    exit 1
+  fi
+
+  # We also check that there are [not] cxx11 symbols in libtorch
   #
   echo "Checking that symbols in libtorch.so have the right gcc abi"
   python3 "$(dirname ${BASH_SOURCE[0]})/smoke_test/check_binary_symbols.py"
@@ -146,11 +198,35 @@ setup_link_flags () {
 
 TEST_CODE_DIR="$(dirname $(realpath ${BASH_SOURCE[0]}))/test_example_code"
 build_and_run_example_cpp () {
+  if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    GLIBCXX_USE_CXX11_ABI=1
+  else
+    GLIBCXX_USE_CXX11_ABI=0
+  fi
   setup_link_flags
-  g++ ${TEST_CODE_DIR}/$1.cpp -I${install_root}/include -I${install_root}/include/torch/csrc/api/include -std=gnu++17 -L${install_root}/lib ${REF_LIB} ${ADDITIONAL_LINKER_FLAGS} -ltorch $TORCH_CPU_LINK_FLAGS $TORCH_CUDA_LINK_FLAGS $C10_LINK_FLAGS -o $1
+  g++ ${TEST_CODE_DIR}/$1.cpp -I${install_root}/include -I${install_root}/include/torch/csrc/api/include -D_GLIBCXX_USE_CXX11_ABI=$GLIBCXX_USE_CXX11_ABI -std=gnu++17 -L${install_root}/lib ${REF_LIB} ${ADDITIONAL_LINKER_FLAGS} -ltorch $TORCH_CPU_LINK_FLAGS $TORCH_CUDA_LINK_FLAGS $C10_LINK_FLAGS -o $1
   ./$1
 }
 
+build_example_cpp_with_incorrect_abi () {
+  if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    GLIBCXX_USE_CXX11_ABI=0
+  else
+    GLIBCXX_USE_CXX11_ABI=1
+  fi
+  set +e
+  setup_link_flags
+  g++ ${TEST_CODE_DIR}/$1.cpp -I${install_root}/include -I${install_root}/include/torch/csrc/api/include -D_GLIBCXX_USE_CXX11_ABI=$GLIBCXX_USE_CXX11_ABI -std=gnu++17 -L${install_root}/lib ${REF_LIB} ${ADDITIONAL_LINKER_FLAGS} -ltorch $TORCH_CPU_LINK_FLAGS $TORCH_CUDA_LINK_FLAGS $C10_LINK_FLAGS -o $1
+  ERRCODE=$?
+  set -e
+  if [ "$ERRCODE" -eq "0" ]; then
+    echo "Building example with incorrect ABI didn't throw error. Aborting."
+    exit 1
+  else
+    echo "Building example with incorrect ABI throws expected error. Proceeding."
+  fi
+}
+
 ###############################################################################
 # Check simple Python/C++ calls
 ###############################################################################
@@ -160,6 +236,11 @@ if [[ "$PACKAGE_TYPE" == 'libtorch' ]]; then
     export LD_LIBRARY_PATH=/usr/local/cuda/lib64
   fi
   build_and_run_example_cpp simple-torch-test
+  # `_GLIBCXX_USE_CXX11_ABI` is always ignored by gcc in devtoolset7, so we test
+  # the expected failure case for Ubuntu 16.04 + gcc 5.4 only.
+  if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
+    build_example_cpp_with_incorrect_abi simple-torch-test
+  fi
 else
   pushd /tmp
   python -c 'import torch'
@@ -216,14 +297,6 @@ else
   fi
 fi
 
-###############################################################################
-# Check XPU configured correctly
-###############################################################################
-if [[ "$DESIRED_CUDA" == 'xpu' && "$PACKAGE_TYPE" != 'libtorch' ]]; then
-  echo "Checking that xpu is compiled"
-  python -c 'import torch; exit(0 if torch.xpu._is_compiled() else 1)'
-fi
-
 ###############################################################################
 # Check CUDA configured correctly
 ###############################################################################
@@ -302,19 +375,10 @@ except RuntimeError as e:
 fi
 
 ###############################################################################
-# Check for C++ ABI compatibility to GCC-11
+# Check for C++ ABI compatibility between gcc7 and gcc9 compiled binaries
 ###############################################################################
 if [[ "$(uname)" == 'Linux' &&  "$PACKAGE_TYPE" == 'manywheel' ]]; then
   pushd /tmp
-  # Per https://gcc.gnu.org/onlinedocs/gcc/C_002b_002b-Dialect-Options.html gcc-11 is ABI16
-  # Though manylinux_2.28 should have been build with gcc-14, per
-  # https://github.com/pypa/manylinux?tab=readme-ov-file#manylinux_2_28-almalinux-8-based
-  # On s390x gcc 14 is used because it contains fix for interaction
-  # between precompiled headers and vectorization builtins.
-  # This fix is not available in earlier gcc versions.
-  # gcc-14 uses ABI19.
-  if [[ "$(uname -m)" != "s390x" ]]; then
-    python -c "import torch; exit(0 if torch._C._PYBIND11_BUILD_ABI == '_cxxabi1016' else 1)"
-  fi
+  python -c "import torch; exit(0 if torch.compiled_with_cxx11_abi() else (0 if torch._C._PYBIND11_BUILD_ABI == '_cxxabi1011' else 1))"
   popd
 fi

.ci/pytorch/common.sh

@@ -13,6 +13,10 @@ if [[ "${BUILD_ENVIRONMENT}" == *rocm* ]]; then
   # HIP_PLATFORM is auto-detected by hipcc; unset to avoid build errors
   unset HIP_PLATFORM
   export PYTORCH_TEST_WITH_ROCM=1
+  # temporary to locate some kernel issues on the CI nodes
+  export HSAKMT_DEBUG_LEVEL=4
+  # improve rccl performance for distributed tests
+  export HSA_FORCE_FINE_GRAIN_PCIE=1
 fi
 
 # TODO: Renable libtorch testing for MacOS, see https://github.com/pytorch/pytorch/issues/62598

.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 --quiet https://github.com/pytorch/xla.git
+    git clone --recursive -b r2.7 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/install_cache_xla.sh

@@ -1,31 +1,50 @@
 #!/bin/bash
 
 # Script for installing sccache on the xla build job, which uses xla's docker
-# image and doesn't have sccache installed on it.  This is mostly copied from
-# .ci/docker/install_cache.sh.  Changes are: removing checks that will always
-# return the same thing, ex checks for for rocm, CUDA, and changing the path
-# where sccache is installed, and not changing /etc/environment.
+# image, which has sccache installed but doesn't write the stubs.  This is
+# mostly copied from .ci/docker/install_cache.sh.  Changes are: removing checks
+# that will always return the same thing, ex checks for for rocm, CUDA, changing
+# the path where sccache is installed, not changing /etc/environment, and not
+# installing/downloading sccache as it is already in the docker image.
 
 set -ex -o pipefail
 
-install_binary() {
-  echo "Downloading sccache binary from S3 repo"
-  curl --retry 3 https://s3.amazonaws.com/ossci-linux/sccache -o /tmp/cache/bin/sccache
-}
-
 mkdir -p /tmp/cache/bin
-mkdir -p /tmp/cache/lib
 export PATH="/tmp/cache/bin:$PATH"
 
-install_binary
-chmod a+x /tmp/cache/bin/sccache
-
 function write_sccache_stub() {
   # Unset LD_PRELOAD for ps because of asan + ps issues
   # https://gcc.gnu.org/bugzilla/show_bug.cgi?id=90589
-  # shellcheck disable=SC2086
-  # shellcheck disable=SC2059
-  printf "#!/bin/sh\nif [ \$(env -u LD_PRELOAD ps -p \$PPID -o comm=) != sccache ]; then\n  exec sccache $(which $1) \"\$@\"\nelse\n  exec $(which $1) \"\$@\"\nfi" > "/tmp/cache/bin/$1"
+  if [ "$1" == "gcc" ]; then
+    # Do not call sccache recursively when dumping preprocessor argument
+    # For some reason it's very important for the first cached nvcc invocation
+    cat >"/tmp/cache/bin/$1" <<EOF
+#!/bin/sh
+
+# sccache does not support -E flag, so we need to call the original compiler directly in order to avoid calling this wrapper recursively
+for arg in "\$@"; do
+  if [ "\$arg" = "-E" ]; then
+    exec $(which "$1") "\$@"
+  fi
+done
+
+if [ \$(env -u LD_PRELOAD ps -p \$PPID -o comm=) != sccache ]; then
+  exec sccache $(which "$1") "\$@"
+else
+  exec $(which "$1") "\$@"
+fi
+EOF
+  else
+    cat >"/tmp/cache/bin/$1" <<EOF
+#!/bin/sh
+
+if [ \$(env -u LD_PRELOAD ps -p \$PPID -o comm=) != sccache ]; then
+  exec sccache $(which "$1") "\$@"
+else
+  exec $(which "$1") "\$@"
+fi
+EOF
+  fi
   chmod a+x "/tmp/cache/bin/$1"
 }
 

.ci/pytorch/macos-build.sh

@@ -33,15 +33,56 @@ if which sccache > /dev/null; then
   export PATH="${tmp_dir}:$PATH"
 fi
 
-print_cmake_info
-if [[ ${BUILD_ENVIRONMENT} == *"distributed"* ]]; then
-  # Needed for inductor benchmarks, as lots of HF networks make `torch.distribtued` calls
-  USE_DISTRIBUTED=1 USE_OPENMP=1 WERROR=1 python setup.py bdist_wheel
-else
+cross_compile_arm64() {
+  # Cross compilation for arm64
   # Explicitly set USE_DISTRIBUTED=0 to align with the default build config on mac. This also serves as the sole CI config that tests
   # that building with USE_DISTRIBUTED=0 works at all. See https://github.com/pytorch/pytorch/issues/86448
+  USE_DISTRIBUTED=0 CMAKE_OSX_ARCHITECTURES=arm64 MACOSX_DEPLOYMENT_TARGET=11.0 USE_MKLDNN=OFF USE_QNNPACK=OFF WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
+}
+
+compile_arm64() {
+  # Compilation for arm64
+  # TODO: Compile with OpenMP support (but this causes CI regressions as cross-compilation were done with OpenMP disabled)
   USE_DISTRIBUTED=0 USE_OPENMP=1 MACOSX_DEPLOYMENT_TARGET=11.0 WERROR=1 BUILD_TEST=OFF USE_PYTORCH_METAL=1 python setup.py bdist_wheel
+}
+
+compile_x86_64() {
+  USE_DISTRIBUTED=0 WERROR=1 python setup.py bdist_wheel --plat-name=macosx_10_9_x86_64
+}
+
+build_lite_interpreter() {
+    echo "Testing libtorch (lite interpreter)."
+
+    CPP_BUILD="$(pwd)/../cpp_build"
+    # Ensure the removal of the tmp directory
+    trap 'rm -rfv ${CPP_BUILD}' EXIT
+    rm -rf "${CPP_BUILD}"
+    mkdir -p "${CPP_BUILD}/caffe2"
+
+    # It looks libtorch need to be built in "${CPP_BUILD}/caffe2 folder.
+    BUILD_LIBTORCH_PY=$PWD/tools/build_libtorch.py
+    pushd "${CPP_BUILD}/caffe2" || exit
+    VERBOSE=1 DEBUG=1 python "${BUILD_LIBTORCH_PY}"
+    popd || exit
+
+    "${CPP_BUILD}/caffe2/build/bin/test_lite_interpreter_runtime"
+}
+
+print_cmake_info
+
+if [[ ${BUILD_ENVIRONMENT} = *arm64* ]]; then
+  if [[ $(uname -m) == "arm64" ]]; then
+    compile_arm64
+  else
+    cross_compile_arm64
+  fi
+elif [[ ${BUILD_ENVIRONMENT} = *lite-interpreter* ]]; then
+  export BUILD_LITE_INTERPRETER=1
+  build_lite_interpreter
+else
+  compile_x86_64
 fi
+
 if which sccache > /dev/null; then
   print_sccache_stats
 fi

.ci/pytorch/macos-test.sh

@@ -221,39 +221,25 @@ test_torchbench_smoketest() {
   TEST_REPORTS_DIR=$(pwd)/test/test-reports
   mkdir -p "$TEST_REPORTS_DIR"
 
+  local backend=eager
+  local dtype=notset
   local device=mps
-  local models=(hf_T5 llama BERT_pytorch dcgan hf_GPT2 yolov3 resnet152 sam pytorch_unet stable_diffusion_text_encoder moco speech_transformer)
 
-  for backend in eager inductor; do
+  touch "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_training_${device}_performance.csv"
+  touch "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_inference_${device}_performance.csv"
 
-    for dtype in notset float16 bfloat16; do
-      echo "Launching torchbench inference performance run for backend ${backend} and dtype ${dtype}"
-      local dtype_arg="--${dtype}"
-      if [ "$dtype" == notset ]; then
-          dtype_arg="--float32"
-      fi
-      touch "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_inference_${device}_performance.csv"
-      for model in "${models[@]}"; do
-        PYTHONPATH="$(pwd)"/torchbench python benchmarks/dynamo/torchbench.py \
-          --performance --only "$model" --backend "$backend" --inference --devices "$device" "$dtype_arg" \
-          --output "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_inference_${device}_performance.csv" || true
-      done
-    done
-
-    for dtype in notset amp; do
-      echo "Launching torchbench training performance run for backend ${backend} and dtype ${dtype}"
-      touch "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_training_${device}_performance.csv"
-      local dtype_arg="--${dtype}"
-      if [ "$dtype" == notset ]; then
-          dtype_arg="--float32"
-      fi
-      for model in "${models[@]}"; do
-        PYTHONPATH="$(pwd)"/torchbench python benchmarks/dynamo/torchbench.py \
-          --performance --only "$model" --backend "$backend" --training --devices "$device" "$dtype_arg" \
-          --output "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_training_${device}_performance.csv" || true
-      done
-    done
+  echo "Setup complete, launching torchbench training performance run"
+  for model in hf_T5 llama BERT_pytorch dcgan hf_GPT2 yolov3 resnet152; do
+    PYTHONPATH="$(pwd)"/torchbench python benchmarks/dynamo/torchbench.py \
+      --performance --only "$model" --backend "$backend" --training --devices "$device" \
+      --output "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_training_${device}_performance.csv"
+  done
 
+  echo "Launching torchbench inference performance run"
+  for model in hf_T5 llama BERT_pytorch dcgan hf_GPT2 yolov3 resnet152; do
+    PYTHONPATH="$(pwd)"/torchbench python benchmarks/dynamo/torchbench.py \
+      --performance --only "$model" --backend "$backend" --inference --devices "$device" \
+      --output "$TEST_REPORTS_DIR/inductor_${backend}_torchbench_${dtype}_inference_${device}_performance.csv"
   done
 
   echo "Pytorch benchmark on mps device completed"

.ci/pytorch/perf_test/common.sh

@@ -0,0 +1,22 @@
+#!/bin/bash
+set -e
+
+run_test () {
+  rm -rf test_tmp/ && mkdir test_tmp/ && cd test_tmp/
+  "$@"
+  cd .. && rm -rf test_tmp/
+}
+
+get_runtime_of_command () {
+  TIMEFORMAT=%R
+
+  # runtime=$( { time ($@ &> /dev/null); } 2>&1 1>/dev/null)
+  runtime=$( { time "$@"; } 2>&1 1>/dev/null)
+  if [[ $runtime == *"Error"* ]]; then
+    exit 1
+  fi
+  runtime=${runtime#+++ $@}
+  runtime=$(python -c "print($runtime)")
+
+  echo "$runtime"
+}

.ci/pytorch/perf_test/compare_with_baseline.py

@@ -0,0 +1,91 @@
+import argparse
+import json
+import math
+import sys
+
+
+parser = argparse.ArgumentParser()
+parser.add_argument(
+    "--test-name", dest="test_name", action="store", required=True, help="test name"
+)
+parser.add_argument(
+    "--sample-stats",
+    dest="sample_stats",
+    action="store",
+    required=True,
+    help="stats from sample",
+)
+parser.add_argument(
+    "--update",
+    action="store_true",
+    help="whether to update baseline using stats from sample",
+)
+args = parser.parse_args()
+
+test_name = args.test_name
+
+if "cpu" in test_name:
+    backend = "cpu"
+elif "gpu" in test_name:
+    backend = "gpu"
+
+data_file_path = f"../{backend}_runtime.json"
+
+with open(data_file_path) as data_file:
+    data = json.load(data_file)
+
+if test_name in data:
+    mean = float(data[test_name]["mean"])
+    sigma = float(data[test_name]["sigma"])
+else:
+    # Let the test pass if baseline number doesn't exist
+    mean = sys.maxsize
+    sigma = 0.001
+
+print("population mean: ", mean)
+print("population sigma: ", sigma)
+
+# Let the test pass if baseline number is NaN (which happened in
+# the past when we didn't have logic for catching NaN numbers)
+if math.isnan(mean) or math.isnan(sigma):
+    mean = sys.maxsize
+    sigma = 0.001
+
+sample_stats_data = json.loads(args.sample_stats)
+
+sample_mean = float(sample_stats_data["mean"])
+sample_sigma = float(sample_stats_data["sigma"])
+
+print("sample mean: ", sample_mean)
+print("sample sigma: ", sample_sigma)
+
+if math.isnan(sample_mean):
+    raise Exception("""Error: sample mean is NaN""")  # noqa: TRY002
+elif math.isnan(sample_sigma):
+    raise Exception("""Error: sample sigma is NaN""")  # noqa: TRY002
+
+z_value = (sample_mean - mean) / sigma
+
+print("z-value: ", z_value)
+
+if z_value >= 3:
+    raise Exception(  # noqa: TRY002
+        f"""\n
+z-value >= 3, there is high chance of perf regression.\n
+To reproduce this regression, run
+`cd .ci/pytorch/perf_test/ && bash {test_name}.sh` on your local machine
+and compare the runtime before/after your code change.
+"""
+    )
+else:
+    print("z-value < 3, no perf regression detected.")
+    if args.update:
+        print("We will use these numbers as new baseline.")
+        new_data_file_path = f"../new_{backend}_runtime.json"
+        with open(new_data_file_path) as new_data_file:
+            new_data = json.load(new_data_file)
+        new_data[test_name] = {}
+        new_data[test_name]["mean"] = sample_mean
+        new_data[test_name]["sigma"] = max(sample_sigma, sample_mean * 0.1)
+        with open(new_data_file_path, "w") as new_data_file:
+            json.dump(new_data, new_data_file, indent=4)

.ci/pytorch/perf_test/get_stats.py

@@ -0,0 +1,18 @@
+import json
+import sys
+
+import numpy
+
+
+sample_data_list = sys.argv[1:]
+sample_data_list = [float(v.strip()) for v in sample_data_list]
+
+sample_mean = numpy.mean(sample_data_list)
+sample_sigma = numpy.std(sample_data_list)
+
+data = {
+    "mean": sample_mean,
+    "sigma": sample_sigma,
+}
+
+print(json.dumps(data))

.ci/pytorch/perf_test/test_cpu_speed_mini_sequence_labeler.sh

@@ -0,0 +1,43 @@
+#!/bin/bash
+set -e
+
+. ./common.sh
+
+test_cpu_speed_mini_sequence_labeler () {
+  echo "Testing: mini sequence labeler, CPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/pytorch/benchmark.git
+
+  cd benchmark/
+
+  git checkout 726567a455edbfda6199445922a8cfee82535664
+
+  cd scripts/mini_sequence_labeler
+
+  SAMPLE_ARRAY=()
+  NUM_RUNS=$1
+
+  for (( i=1; i<=NUM_RUNS; i++ )) do
+    runtime=$(get_runtime_of_command python main.py)
+    SAMPLE_ARRAY+=("${runtime}")
+  done
+
+  cd ../../..
+
+  stats=$(python ../get_stats.py "${SAMPLE_ARRAY[@]}")
+  echo "Runtime stats in seconds:"
+  echo "$stats"
+
+  if [ "$2" == "compare_with_baseline" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}"
+  elif [ "$2" == "compare_and_update" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}" --update
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_cpu_speed_mini_sequence_labeler "$@"
+fi

.ci/pytorch/perf_test/test_cpu_speed_mnist.sh

@@ -0,0 +1,45 @@
+#!/bin/bash
+set -e
+
+. ./common.sh
+
+test_cpu_speed_mnist () {
+  echo "Testing: MNIST, CPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/pytorch/examples.git -b perftests
+
+  cd examples/mnist
+
+  conda install -c pytorch torchvision-cpu
+
+  # Download data
+  python main.py --epochs 0
+
+  SAMPLE_ARRAY=()
+  NUM_RUNS=$1
+
+  for (( i=1; i<=NUM_RUNS; i++ )) do
+    runtime=$(get_runtime_of_command python main.py --epochs 1 --no-log)
+    echo "$runtime"
+    SAMPLE_ARRAY+=("${runtime}")
+  done
+
+  cd ../..
+
+  stats=$(python ../get_stats.py "${SAMPLE_ARRAY[@]}")
+  echo "Runtime stats in seconds:"
+  echo "$stats"
+
+  if [ "$2" == "compare_with_baseline" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}"
+  elif [ "$2" == "compare_and_update" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}" --update
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_cpu_speed_mnist "$@"
+fi

.ci/pytorch/perf_test/test_cpu_speed_torch.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+
+. ./common.sh
+
+test_cpu_speed_torch () {
+  echo "Testing: torch.*, CPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/yf225/perf-tests.git
+
+  if [ "$1" == "compare_with_baseline" ]; then
+    export ARGS=(--compare ../cpu_runtime.json)
+  elif [ "$1" == "compare_and_update" ]; then
+    export ARGS=(--compare ../cpu_runtime.json --update ../new_cpu_runtime.json)
+  elif [ "$1" == "update_only" ]; then
+    export ARGS=(--update ../new_cpu_runtime.json)
+  fi
+
+  if ! python perf-tests/modules/test_cpu_torch.py "${ARGS[@]}"; then
+    echo "To reproduce this regression, run \`cd .ci/pytorch/perf_test/ && bash ${FUNCNAME[0]}.sh\` on your local machine and compare the runtime before/after your code change."
+    exit 1
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_cpu_speed_torch "$@"
+fi

.ci/pytorch/perf_test/test_cpu_speed_torch_tensor.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+
+. ./common.sh
+
+test_cpu_speed_torch_tensor () {
+  echo "Testing: torch.Tensor.*, CPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/yf225/perf-tests.git
+
+  if [ "$1" == "compare_with_baseline" ]; then
+    export ARGS=(--compare ../cpu_runtime.json)
+  elif [ "$1" == "compare_and_update" ]; then
+    export ARGS=(--compare ../cpu_runtime.json --update ../new_cpu_runtime.json)
+  elif [ "$1" == "update_only" ]; then
+    export ARGS=(--update ../new_cpu_runtime.json)
+  fi
+
+  if ! python perf-tests/modules/test_cpu_torch_tensor.py "${ARGS[@]}"; then
+    echo "To reproduce this regression, run \`cd .ci/pytorch/perf_test/ && bash ${FUNCNAME[0]}.sh\` on your local machine and compare the runtime before/after your code change."
+    exit 1
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_cpu_speed_torch_tensor "$@"
+fi

.ci/pytorch/perf_test/test_gpu_speed_cudnn_lstm.sh

@@ -0,0 +1,44 @@
+#!/bin/bash
+set -e
+
+. ./common.sh
+
+test_gpu_speed_cudnn_lstm () {
+  echo "Testing: CuDNN LSTM, GPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/pytorch/benchmark.git
+
+  cd benchmark/
+
+  git checkout 43dfb2c0370e70ef37f249dc09aff9f0ccd2ddb0
+
+  cd scripts/
+
+  SAMPLE_ARRAY=()
+  NUM_RUNS=$1
+
+  for (( i=1; i<=NUM_RUNS; i++ )) do
+    runtime=$(get_runtime_of_command python cudnn_lstm.py --skip-cpu-governor-check)
+    echo "$runtime"
+    SAMPLE_ARRAY+=("${runtime}")
+  done
+
+  cd ../..
+
+  stats=$(python ../get_stats.py "${SAMPLE_ARRAY[@]}")
+  echo "Runtime stats in seconds:"
+  echo "$stats"
+
+  if [ "$2" == "compare_with_baseline" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}"
+  elif [ "$2" == "compare_and_update" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}" --update
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_gpu_speed_cudnn_lstm "$@"
+fi

.ci/pytorch/perf_test/test_gpu_speed_lstm.sh

@@ -0,0 +1,44 @@
+#!/bin/bash
+set -e
+
+. ./common.sh
+
+test_gpu_speed_lstm () {
+  echo "Testing: LSTM, GPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/pytorch/benchmark.git
+
+  cd benchmark/
+
+  git checkout 43dfb2c0370e70ef37f249dc09aff9f0ccd2ddb0
+
+  cd scripts/
+
+  SAMPLE_ARRAY=()
+  NUM_RUNS=$1
+
+  for (( i=1; i<=NUM_RUNS; i++ )) do
+    runtime=$(get_runtime_of_command python lstm.py --skip-cpu-governor-check)
+    echo "$runtime"
+    SAMPLE_ARRAY+=("${runtime}")
+  done
+
+  cd ../..
+
+  stats=$(python ../get_stats.py "${SAMPLE_ARRAY[@]}")
+  echo "Runtime stats in seconds:"
+  echo "$stats"
+
+  if [ "$2" == "compare_with_baseline" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}"
+  elif [ "$2" == "compare_and_update" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}" --update
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_gpu_speed_lstm "$@"
+fi

.ci/pytorch/perf_test/test_gpu_speed_mlstm.sh

@@ -0,0 +1,44 @@
+#!/bin/bash
+set -e
+
+. ./common.sh
+
+test_gpu_speed_mlstm () {
+  echo "Testing: MLSTM, GPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/pytorch/benchmark.git
+
+  cd benchmark/
+
+  git checkout 43dfb2c0370e70ef37f249dc09aff9f0ccd2ddb0
+
+  cd scripts/
+
+  SAMPLE_ARRAY=()
+  NUM_RUNS=$1
+
+  for (( i=1; i<=NUM_RUNS; i++ )) do
+    runtime=$(get_runtime_of_command python mlstm.py --skip-cpu-governor-check)
+    echo "$runtime"
+    SAMPLE_ARRAY+=("${runtime}")
+  done
+
+  cd ../..
+
+  stats=$(python ../get_stats.py "${SAMPLE_ARRAY[@]}")
+  echo "Runtime stats in seconds:"
+  echo "$stats"
+
+  if [ "$2" == "compare_with_baseline" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}"
+  elif [ "$2" == "compare_and_update" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}" --update
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_gpu_speed_mlstm "$@"
+fi

.ci/pytorch/perf_test/test_gpu_speed_mnist.sh

@@ -0,0 +1,48 @@
+#!/bin/bash
+set -e
+
+. ./common.sh
+
+test_gpu_speed_mnist () {
+  echo "Testing: MNIST, GPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/pytorch/examples.git -b perftests
+
+  cd examples/mnist
+
+  conda install -c pytorch torchvision
+
+  # Download data
+  python main.py --epochs 0
+
+  SAMPLE_ARRAY=()
+  NUM_RUNS=$1
+
+  # Needs warm up to get accurate number
+  python main.py --epochs 1 --no-log
+
+  for (( i=1; i<=NUM_RUNS; i++ )) do
+    runtime=$(get_runtime_of_command python main.py --epochs 1 --no-log)
+    echo "$runtime"
+    SAMPLE_ARRAY+=("${runtime}")
+  done
+
+  cd ../..
+
+  stats=$(python ../get_stats.py "${SAMPLE_ARRAY[@]}")
+  echo "Runtime stats in seconds:"
+  echo "$stats"
+
+  if [ "$2" == "compare_with_baseline" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}"
+  elif [ "$2" == "compare_and_update" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}" --update
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_gpu_speed_mnist "$@"
+fi

.ci/pytorch/perf_test/test_gpu_speed_word_language_model.sh

@@ -0,0 +1,53 @@
+#!/bin/bash
+set -e
+
+. ./common.sh
+
+test_gpu_speed_word_language_model () {
+  echo "Testing: word language model on Wikitext-2, GPU"
+
+  export OMP_NUM_THREADS=4
+  export MKL_NUM_THREADS=4
+
+  git clone https://github.com/pytorch/examples.git -b perftests
+
+  cd examples/word_language_model
+
+  cd data/wikitext-2
+
+  # Reduce dataset size, so that we can have more runs per test
+  sed -n '1,200p' test.txt > test_tmp.txt
+  sed -n '1,1000p' train.txt > train_tmp.txt
+  sed -n '1,200p' valid.txt > valid_tmp.txt
+
+  mv test_tmp.txt test.txt
+  mv train_tmp.txt train.txt
+  mv valid_tmp.txt valid.txt
+
+  cd ../..
+
+  SAMPLE_ARRAY=()
+  NUM_RUNS=$1
+
+  for (( i=1; i<=NUM_RUNS; i++ )) do
+    runtime=$(get_runtime_of_command python main.py --cuda --epochs 1)
+    echo "$runtime"
+    SAMPLE_ARRAY+=("${runtime}")
+  done
+
+  cd ../..
+
+  stats=$(python ../get_stats.py "${SAMPLE_ARRAY[@]}")
+  echo "Runtime stats in seconds:"
+  echo "$stats"
+
+  if [ "$2" == "compare_with_baseline" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}"
+  elif [ "$2" == "compare_and_update" ]; then
+    python ../compare_with_baseline.py --test-name "${FUNCNAME[0]}" --sample-stats "${stats}" --update
+  fi
+}
+
+if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
+  run_test test_gpu_speed_word_language_model "$@"
+fi

.ci/pytorch/perf_test/update_commit_hash.py

@@ -0,0 +1,14 @@
+import json
+import sys
+
+
+data_file_path = sys.argv[1]
+commit_hash = sys.argv[2]
+
+with open(data_file_path) as data_file:
+    data = json.load(data_file)
+
+data["commit"] = commit_hash
+
+with open(data_file_path, "w") as data_file:
+    json.dump(data, data_file)

.ci/pytorch/python_doc_push_script.sh

@@ -119,6 +119,12 @@ popd
 git rm -rf "$install_path" || true
 mv "$pt_checkout/docs/build/html" "$install_path"
 
+# Prevent Google from indexing $install_path/_modules. This folder contains
+# generated source files.
+# NB: the following only works on gnu sed. The sed shipped with mac os is different.
+# One can `brew install gnu-sed` on a mac and then use "gsed" instead of "sed".
+find "$install_path/_modules" -name "*.html" -print0 | xargs -0 sed -i '/<head>/a \ \ <meta name="robots" content="noindex">'
+
 git add "$install_path" || true
 git status
 git config user.email "soumith+bot@pytorch.org"

.ci/pytorch/short-perf-test-cpu.sh

@@ -0,0 +1,71 @@
+#!/bin/bash
+
+SCRIPT_PARENT_DIR=$(dirname "${BASH_SOURCE[0]}")
+
+# shellcheck source=.ci/pytorch/common.sh
+source "$SCRIPT_PARENT_DIR/common.sh"
+
+cd .ci/pytorch/perf_test
+
+echo "Running CPU perf test for PyTorch..."
+
+pip install -q awscli
+
+# Set multipart_threshold to be sufficiently high, so that `aws s3 cp` is not a multipart read
+# More info at https://github.com/aws/aws-cli/issues/2321
+aws configure set default.s3.multipart_threshold 5GB
+UPSTREAM_DEFAULT_BRANCH="$(git remote show https://github.com/pytorch/pytorch.git | awk '/HEAD branch/ {print $NF}')"
+
+if [[ "$COMMIT_SOURCE" == "$UPSTREAM_DEFAULT_BRANCH" ]]; then
+    # Get current default branch commit hash
+    DEFAULT_BRANCH_COMMIT_ID=$(git log --format="%H" -n 1)
+    export DEFAULT_BRANCH_COMMIT_ID
+fi
+
+# Find the default branch commit to test against
+git remote add upstream https://github.com/pytorch/pytorch.git
+git fetch upstream
+IFS=$'\n'
+while IFS='' read -r commit_id; do
+    if aws s3 ls s3://ossci-perf-test/pytorch/cpu_runtime/"${commit_id}".json; then
+        LATEST_TESTED_COMMIT=${commit_id}
+        break
+    fi
+done < <(git rev-list upstream/"$UPSTREAM_DEFAULT_BRANCH")
+aws s3 cp s3://ossci-perf-test/pytorch/cpu_runtime/"${LATEST_TESTED_COMMIT}".json cpu_runtime.json
+
+if [[ "$COMMIT_SOURCE" == "$UPSTREAM_DEFAULT_BRANCH" ]]; then
+    # Prepare new baseline file
+    cp cpu_runtime.json new_cpu_runtime.json
+    python update_commit_hash.py new_cpu_runtime.json "${DEFAULT_BRANCH_COMMIT_ID}"
+fi
+
+# Include tests
+# shellcheck source=./perf_test/test_cpu_speed_mini_sequence_labeler.sh
+. ./test_cpu_speed_mini_sequence_labeler.sh
+# shellcheck source=./perf_test/test_cpu_speed_mnist.sh
+. ./test_cpu_speed_mnist.sh
+# shellcheck source=./perf_test/test_cpu_speed_torch.sh
+. ./test_cpu_speed_torch.sh
+# shellcheck source=./perf_test/test_cpu_speed_torch_tensor.sh
+. ./test_cpu_speed_torch_tensor.sh
+
+# Run tests
+export TEST_MODE="compare_with_baseline"
+if [[ "$COMMIT_SOURCE" == "$UPSTREAM_DEFAULT_BRANCH" ]]; then
+    export TEST_MODE="compare_and_update"
+fi
+
+# Operator tests
+run_test test_cpu_speed_torch ${TEST_MODE}
+run_test test_cpu_speed_torch_tensor ${TEST_MODE}
+
+# Sample model tests
+run_test test_cpu_speed_mini_sequence_labeler 20 ${TEST_MODE}
+run_test test_cpu_speed_mnist 20 ${TEST_MODE}
+
+if [[ "$COMMIT_SOURCE" == "$UPSTREAM_DEFAULT_BRANCH" ]]; then
+    # This could cause race condition if we are testing the same default branch commit twice,
+    # but the chance of them executing this line at the same time is low.
+    aws s3 cp new_cpu_runtime.json s3://ossci-perf-test/pytorch/cpu_runtime/"${DEFAULT_BRANCH_COMMIT_ID}".json --acl public-read
+fi

.ci/pytorch/short-perf-test-gpu.sh

@@ -0,0 +1,76 @@
+#!/bin/bash
+
+# shellcheck source=./common.sh
+source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
+
+pushd .ci/pytorch/perf_test
+
+echo "Running GPU perf test for PyTorch..."
+
+# Trying to uninstall PyYAML can cause problem. Workaround according to:
+# https://github.com/pypa/pip/issues/5247#issuecomment-415571153
+pip install -q awscli --ignore-installed PyYAML
+
+# Set multipart_threshold to be sufficiently high, so that `aws s3 cp` is not a multipart read
+# More info at https://github.com/aws/aws-cli/issues/2321
+aws configure set default.s3.multipart_threshold 5GB
+UPSTREAM_DEFAULT_BRANCH="$(git remote show https://github.com/pytorch/pytorch.git | awk '/HEAD branch/ {print $NF}')"
+
+if [[ "$COMMIT_SOURCE" == "$UPSTREAM_DEFAULT_BRANCH" ]]; then
+    # Get current default branch commit hash
+    DEFAULT_BRANCH_COMMIT_ID=$(git log --format="%H" -n 1)
+    export DEFAULT_BRANCH_COMMIT_ID
+fi
+
+# Find the default branch commit to test against
+git remote add upstream https://github.com/pytorch/pytorch.git
+git fetch upstream
+IFS=$'\n'
+while IFS='' read -r commit_id; do
+    if aws s3 ls s3://ossci-perf-test/pytorch/gpu_runtime/"${commit_id}".json; then
+        LATEST_TESTED_COMMIT=${commit_id}
+        break
+    fi
+done < <(git rev-list upstream/"$UPSTREAM_DEFAULT_BRANCH")
+aws s3 cp s3://ossci-perf-test/pytorch/gpu_runtime/"${LATEST_TESTED_COMMIT}".json gpu_runtime.json
+
+if [[ "$COMMIT_SOURCE" == "$UPSTREAM_DEFAULT_BRANCH" ]]; then
+    # Prepare new baseline file
+    cp gpu_runtime.json new_gpu_runtime.json
+    python update_commit_hash.py new_gpu_runtime.json "${DEFAULT_BRANCH_COMMIT_ID}"
+fi
+
+# Include tests
+# shellcheck source=./perf_test/test_gpu_speed_mnist.sh
+. ./test_gpu_speed_mnist.sh
+# shellcheck source=./perf_test/test_gpu_speed_word_language_model.sh
+. ./test_gpu_speed_word_language_model.sh
+# shellcheck source=./perf_test/test_gpu_speed_cudnn_lstm.sh
+. ./test_gpu_speed_cudnn_lstm.sh
+# shellcheck source=./perf_test/test_gpu_speed_lstm.sh
+. ./test_gpu_speed_lstm.sh
+# shellcheck source=./perf_test/test_gpu_speed_mlstm.sh
+. ./test_gpu_speed_mlstm.sh
+
+# Run tests
+if [[ "$COMMIT_SOURCE" == "$UPSTREAM_DEFAULT_BRANCH" ]]; then
+    run_test test_gpu_speed_mnist 20 compare_and_update
+    run_test test_gpu_speed_word_language_model 20 compare_and_update
+    run_test test_gpu_speed_cudnn_lstm 20 compare_and_update
+    run_test test_gpu_speed_lstm 20 compare_and_update
+    run_test test_gpu_speed_mlstm 20 compare_and_update
+else
+    run_test test_gpu_speed_mnist 20 compare_with_baseline
+    run_test test_gpu_speed_word_language_model 20 compare_with_baseline
+    run_test test_gpu_speed_cudnn_lstm 20 compare_with_baseline
+    run_test test_gpu_speed_lstm 20 compare_with_baseline
+    run_test test_gpu_speed_mlstm 20 compare_with_baseline
+fi
+
+if [[ "$COMMIT_SOURCE" == "$UPSTREAM_DEFAULT_BRANCH" ]]; then
+    # This could cause race condition if we are testing the same default branch commit twice,
+    # but the chance of them executing this line at the same time is low.
+    aws s3 cp new_gpu_runtime.json s3://ossci-perf-test/pytorch/gpu_runtime/"${DEFAULT_BRANCH_COMMIT_ID}".json --acl public-read
+fi
+
+popd

.ci/pytorch/smoke_test/check_binary_symbols.py

@@ -80,7 +80,7 @@ def grep_symbols(lib: str, patterns: list[Any]) -> list[str]:
         return functools.reduce(list.__add__, (x.result() for x in tasks), [])
 
 
-def check_lib_symbols_for_abi_correctness(lib: str) -> None:
+def check_lib_symbols_for_abi_correctness(lib: str, pre_cxx11_abi: bool = True) -> None:
     print(f"lib: {lib}")
     cxx11_symbols = grep_symbols(lib, LIBTORCH_CXX11_PATTERNS)
     pre_cxx11_symbols = grep_symbols(lib, LIBTORCH_PRE_CXX11_PATTERNS)
@@ -88,12 +88,28 @@ def check_lib_symbols_for_abi_correctness(lib: str) -> None:
     num_pre_cxx11_symbols = len(pre_cxx11_symbols)
     print(f"num_cxx11_symbols: {num_cxx11_symbols}")
     print(f"num_pre_cxx11_symbols: {num_pre_cxx11_symbols}")
-    if num_pre_cxx11_symbols > 0:
-        raise RuntimeError(
-            f"Found pre-cxx11 symbols, but there shouldn't be any, see: {pre_cxx11_symbols[:100]}"
+    if pre_cxx11_abi:
+        if num_cxx11_symbols > 0:
+            raise RuntimeError(
+                f"Found cxx11 symbols, but there shouldn't be any, see: {cxx11_symbols[:100]}"
+            )
+        if num_pre_cxx11_symbols < 1000:
+            raise RuntimeError("Didn't find enough pre-cxx11 symbols.")
+        # Check for no recursive iterators, regression test for https://github.com/pytorch/pytorch/issues/133437
+        rec_iter_symbols = grep_symbols(
+            lib, [re.compile("std::filesystem::recursive_directory_iterator.*")]
         )
-    if num_cxx11_symbols < 100:
-        raise RuntimeError("Didn't find enought cxx11 symbols")
+        if len(rec_iter_symbols) > 0:
+            raise RuntimeError(
+                f"recursive_directory_iterator in used pre-CXX11 binaries, see; {rec_iter_symbols}"
+            )
+    else:
+        if num_pre_cxx11_symbols > 0:
+            raise RuntimeError(
+                f"Found pre-cxx11 symbols, but there shouldn't be any, see: {pre_cxx11_symbols[:100]}"
+            )
+        if num_cxx11_symbols < 100:
+            raise RuntimeError("Didn't find enought cxx11 symbols")
 
 
 def main() -> None:
@@ -105,8 +121,9 @@ def main() -> None:
         else:
             install_root = Path(distutils.sysconfig.get_python_lib()) / "torch"
 
-    libtorch_cpu_path = str(install_root / "lib" / "libtorch_cpu.so")
-    check_lib_symbols_for_abi_correctness(libtorch_cpu_path)
+    libtorch_cpu_path = install_root / "lib" / "libtorch_cpu.so"
+    pre_cxx11_abi = "cxx11-abi" not in os.getenv("DESIRED_DEVTOOLSET", "")
+    check_lib_symbols_for_abi_correctness(libtorch_cpu_path, pre_cxx11_abi)
 
 
 if __name__ == "__main__":

.ci/pytorch/smoke_test/check_gomp.py

@@ -0,0 +1,74 @@
+import ctypes
+import os
+import sys
+from pathlib import Path
+
+
+def get_gomp_thread():
+    """
+    Retrieves the maximum number of OpenMP threads after loading the `libgomp.so.1` library
+    and the `libtorch_cpu.so` library. It then queries the
+    maximum number of threads available for OpenMP parallel regions using the
+    `omp_get_max_threads` function.
+
+    Returns:
+        int: The maximum number of OpenMP threads available.
+
+    Notes:
+        - The function assumes the default path for `libgomp.so.1` on AlmaLinux OS.
+        - The path to `libtorch_cpu.so` is constructed based on the Python executable's
+          installation directory.
+        - This function is specific to environments where PyTorch and OpenMP are used
+          together and may require adjustments for other setups.
+    """
+    python_path = Path(sys.executable).resolve()
+    python_prefix = (
+        python_path.parent.parent
+    )  # Typically goes to the Python installation root
+
+    # Get the additional ABI flags (if any); it may be an empty string.
+    abiflags = getattr(sys, "abiflags", "")
+
+    # Construct the Python directory name correctly (e.g., "python3.13t").
+    python_version = (
+        f"python{sys.version_info.major}.{sys.version_info.minor}{abiflags}"
+    )
+
+    libtorch_cpu_path = (
+        python_prefix
+        / "lib"
+        / python_version
+        / "site-packages"
+        / "torch"
+        / "lib"
+        / "libtorch_cpu.so"
+    )
+
+    # use the default gomp path of AlmaLinux OS
+    libgomp_path = "/usr/lib64/libgomp.so.1"
+
+    os.environ["GOMP_CPU_AFFINITY"] = "0-3"
+
+    libgomp = ctypes.CDLL(libgomp_path)
+    libgomp = ctypes.CDLL(libtorch_cpu_path)
+
+    libgomp.omp_get_max_threads.restype = ctypes.c_int
+    libgomp.omp_get_max_threads.argtypes = []
+
+    omp_max_threads = libgomp.omp_get_max_threads()
+    return omp_max_threads
+
+
+def main():
+    omp_max_threads = get_gomp_thread()
+    print(
+        f"omp_max_threads after loading libgomp.so and libtorch_cpu.so: {omp_max_threads}"
+    )
+    if omp_max_threads == 1:
+        raise RuntimeError(
+            "omp_max_threads is 1. Check whether libgomp.so is loaded twice."
+        )
+
+
+if __name__ == "__main__":
+    main()

.ci/pytorch/smoke_test/smoke_test.py

@@ -7,7 +7,6 @@ import subprocess
 import sys
 from pathlib import Path
 from tempfile import NamedTemporaryFile
-from typing import Optional
 
 import torch
 import torch._dynamo
@@ -196,41 +195,8 @@ def test_cuda_gds_errors_captured() -> None:
         )
 
 
-def find_pypi_package_version(package: str) -> Optional[str]:
-    from importlib import metadata
-
-    dists = metadata.distributions()
-    for dist in dists:
-        if dist.metadata["Name"].startswith(package):
-            return dist.version
-    return None
-
-
-def cudnn_to_version_str(cudnn_version: int) -> str:
-    patch = int(cudnn_version % 10)
-    minor = int((cudnn_version / 100) % 100)
-    major = int((cudnn_version / 10000) % 10000)
-    return f"{major}.{minor}.{patch}"
-
-
-def compare_pypi_to_torch_versions(
-    package: str, pypi_version: str, torch_version: str
-) -> None:
-    if pypi_version is None:
-        raise RuntimeError(f"Can't find {package} in PyPI for Torch: {torch_version}")
-    if pypi_version.startswith(torch_version):
-        print(f"Found matching {package}. Torch: {torch_version} PyPI {pypi_version}")
-    else:
-        raise RuntimeError(
-            f"Wrong {package} version. Torch: {torch_version} PyPI: {pypi_version}"
-        )
-
-
 def smoke_test_cuda(
-    package: str,
-    runtime_error_check: str,
-    torch_compile_check: str,
-    pypi_pkg_check: str,
+    package: str, runtime_error_check: str, torch_compile_check: str
 ) -> None:
     if not torch.cuda.is_available() and is_cuda_system:
         raise RuntimeError(f"Expected CUDA {gpu_arch_ver}. However CUDA is not loaded.")
@@ -260,30 +226,20 @@ def smoke_test_cuda(
             raise RuntimeError(
                 f"Wrong CUDA version. Loaded: {torch.version.cuda} Expected: {gpu_arch_ver}"
             )
-
         print(f"torch cuda: {torch.version.cuda}")
+        # todo add cudnn version validation
+        print(f"torch cudnn: {torch.backends.cudnn.version()}")
+        print(f"cuDNN enabled? {torch.backends.cudnn.enabled}")
+
         torch.cuda.init()
         print("CUDA initialized successfully")
         print(f"Number of CUDA devices: {torch.cuda.device_count()}")
         for i in range(torch.cuda.device_count()):
             print(f"Device {i}: {torch.cuda.get_device_name(i)}")
 
-        print(f"cuDNN enabled? {torch.backends.cudnn.enabled}")
-        torch_cudnn_version = cudnn_to_version_str(torch.backends.cudnn.version())
-        print(f"Torch cuDNN version: {torch_cudnn_version}")
-
+        # nccl is availbale only on Linux
         if sys.platform in ["linux", "linux2"]:
-            torch_nccl_version = ".".join(str(v) for v in torch.cuda.nccl.version())
-            print(f"Torch nccl; version: {torch_nccl_version}")
-
-        # Pypi dependencies are installed on linux ony and nccl is availbale only on Linux.
-        if pypi_pkg_check == "enabled" and sys.platform in ["linux", "linux2"]:
-            compare_pypi_to_torch_versions(
-                "cudnn", find_pypi_package_version("nvidia-cudnn"), torch_cudnn_version
-            )
-            compare_pypi_to_torch_versions(
-                "nccl", find_pypi_package_version("nvidia-nccl"), torch_nccl_version
-            )
+            print(f"torch nccl version: {torch.cuda.nccl.version()}")
 
         if runtime_error_check == "enabled":
             test_cuda_runtime_errors_captured()
@@ -442,13 +398,6 @@ def parse_args():
         choices=["enabled", "disabled"],
         default="enabled",
     )
-    parser.add_argument(
-        "--pypi-pkg-check",
-        help="Check pypi package versions cudnn and nccl",
-        type=str,
-        choices=["enabled", "disabled"],
-        default="enabled",
-    )
     return parser.parse_args()
 
 
@@ -473,10 +422,7 @@ def main() -> None:
         smoke_test_modules()
 
     smoke_test_cuda(
-        options.package,
-        options.runtime_error_check,
-        options.torch_compile_check,
-        options.pypi_pkg_check,
+        options.package, options.runtime_error_check, options.torch_compile_check
     )
 
 

.ci/pytorch/test.sh

@@ -1175,6 +1175,7 @@ build_xla() {
   # These functions are defined in .circleci/common.sh in pytorch/xla repo
   retry install_pre_deps_pytorch_xla $XLA_DIR $USE_CACHE
   CMAKE_PREFIX_PATH="${SITE_PACKAGES}/torch:${CMAKE_PREFIX_PATH}" XLA_SANDBOX_BUILD=1 build_torch_xla $XLA_DIR
+  retry install_post_deps_pytorch_xla
   assert_git_not_dirty
 }
 
@@ -1520,33 +1521,12 @@ test_linux_aarch64() {
        inductor/test_inplacing_pass inductor/test_kernel_benchmark inductor/test_layout_optim \
        inductor/test_max_autotune inductor/test_memory_planning inductor/test_metrics inductor/test_multi_kernel inductor/test_pad_mm \
        inductor/test_pattern_matcher inductor/test_perf inductor/test_profiler inductor/test_select_algorithm inductor/test_smoke \
-       inductor/test_split_cat_fx_passes inductor/test_compile inductor/test_torchinductor \
+       inductor/test_split_cat_fx_passes inductor/test_standalone_compile inductor/test_torchinductor \
        inductor/test_torchinductor_codegen_dynamic_shapes inductor/test_torchinductor_dynamic_shapes inductor/test_memory \
        inductor/test_triton_cpu_backend inductor/test_triton_extension_backend inductor/test_mkldnn_pattern_matcher inductor/test_cpu_cpp_wrapper \
        --shard "$SHARD_NUMBER" "$NUM_TEST_SHARDS" --verbose
 }
 
-test_operator_benchmark() {
-  TEST_REPORTS_DIR=$(pwd)/test/test-reports
-  mkdir -p "$TEST_REPORTS_DIR"
-  TEST_DIR=$(pwd)
-
-  test_inductor_set_cpu_affinity
-
-  cd benchmarks/operator_benchmark/pt_extension
-  python setup.py install
-
-  cd "${TEST_DIR}"/benchmarks/operator_benchmark
-  $TASKSET python -m benchmark_all_test --device "$1" --tag-filter "$2" \
-      --output-dir "${TEST_REPORTS_DIR}/operator_benchmark_eager_float32_cpu.csv"
-
-  pip_install pandas
-  python check_perf_csv.py \
-      --actual "${TEST_REPORTS_DIR}/operator_benchmark_eager_float32_cpu.csv" \
-      --expected "expected_ci_operator_benchmark_eager_float32_cpu.csv"
-}
-
-
 if ! [[ "${BUILD_ENVIRONMENT}" == *libtorch* || "${BUILD_ENVIRONMENT}" == *-bazel-* ]]; then
   (cd test && python -c "import torch; print(torch.__config__.show())")
   (cd test && python -c "import torch; print(torch.__config__.parallel_info())")
@@ -1577,19 +1557,6 @@ elif [[ "$TEST_CONFIG" == distributed ]]; then
   if [[ "${SHARD_NUMBER}" == 1 ]]; then
     test_rpc
   fi
-elif [[ "${TEST_CONFIG}" == *operator_benchmark* ]]; then
-  TEST_MODE="short"
-
-  if [[ "${TEST_CONFIG}" == *cpu* ]]; then
-    if [[ "${TEST_CONFIG}" == *long* ]]; then
-      TEST_MODE="long"
-    elif [[ "${TEST_CONFIG}" == *all* ]]; then
-      TEST_MODE="all"
-    fi
-
-    test_operator_benchmark cpu ${TEST_MODE}
-
-  fi
 elif [[ "${TEST_CONFIG}" == *inductor_distributed* ]]; then
   test_inductor_distributed
 elif [[ "${TEST_CONFIG}" == *inductor-halide* ]]; then
@@ -1652,7 +1619,6 @@ elif [[ "${TEST_CONFIG}" == *inductor_cpp_wrapper* ]]; then
   install_torchvision
   checkout_install_torchbench hf_T5 llama moco
   PYTHONPATH=$(pwd)/torchbench test_inductor_cpp_wrapper_shard "$SHARD_NUMBER"
-  test_inductor_aoti
 elif [[ "${TEST_CONFIG}" == *inductor* ]]; then
   install_torchvision
   test_inductor_shard "${SHARD_NUMBER}"

.ci/pytorch/windows/build_pytorch.bat

@@ -1,7 +1,7 @@
 @echo off
 
-:: This script parses args, installs required libraries (MKL, Magma, libuv)
-:: and then delegates to cpu.bat, cuda80.bat, etc.
+:: This script parses args, installs required libraries (miniconda, MKL,
+:: Magma), and then delegates to cpu.bat, cuda80.bat, etc.
 
 if not "%CUDA_VERSION%" == "" if not "%PYTORCH_BUILD_VERSION%" == "" if not "%PYTORCH_BUILD_NUMBER%" == "" goto env_end
 if "%~1"=="" goto arg_error
@@ -36,18 +36,28 @@ set DESIRED_PYTHON_PREFIX=py%DESIRED_PYTHON_PREFIX:;=;py%
 set SRC_DIR=%~dp0
 pushd %SRC_DIR%
 
+:: Install Miniconda3
+set "CONDA_HOME=%CD%\conda"
+set "tmp_conda=%CONDA_HOME%"
+set "miniconda_exe=%CD%\miniconda.exe"
+rmdir /s /q conda
+del miniconda.exe
+curl --retry 3 -k https://repo.anaconda.com/miniconda/Miniconda3-py311_23.9.0-0-Windows-x86_64.exe -o "%miniconda_exe%"
+start /wait "" "%miniconda_exe%" /S /InstallationType=JustMe /RegisterPython=0 /AddToPath=0 /D=%tmp_conda%
+if ERRORLEVEL 1 exit /b 1
 set "ORIG_PATH=%PATH%"
+set "PATH=%CONDA_HOME%;%CONDA_HOME%\scripts;%CONDA_HOME%\Library\bin;%PATH%"
 
-:: setup build environment
+:: create a new conda environment and install packages
 :try
 SET /A tries=3
 :loop
 IF %tries% LEQ 0 GOTO :exception
-call setup_build.bat
+call condaenv.bat
 IF %ERRORLEVEL% EQU 0 GOTO :done
 SET /A "tries=%tries%-1"
 :exception
-echo "Failed to setup build environment"
+echo "Failed to create conda env"
 exit /B 1
 :done
 
@@ -63,7 +73,7 @@ if "%DEBUG%" == "1" (
 if not "%CUDA_VERSION%" == "cpu" if not "%CUDA_VERSION%" == "xpu" (
     rmdir /s /q magma_%CUDA_PREFIX%_%BUILD_TYPE%
     del magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z
-    curl -k https://s3.amazonaws.com/ossci-windows/magma_%MAGMA_VERSION%_%CUDA_PREFIX%_%BUILD_TYPE%.7z -o magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z %= @lint-ignore =%
+    curl -k https://s3.amazonaws.com/ossci-windows/magma_%MAGMA_VERSION%_%CUDA_PREFIX%_%BUILD_TYPE%.7z -o magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z
     7z x -aoa magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z -omagma_%CUDA_PREFIX%_%BUILD_TYPE%
 )
 
@@ -97,20 +107,19 @@ set TH_BINARY_BUILD=1
 set INSTALL_TEST=0
 
 for %%v in (%DESIRED_PYTHON_PREFIX%) do (
-
-    :: Set Environment vars for the build
-    set "CMAKE_PREFIX_PATH=%CD%\Python\Library\;%PATH%"
-    set "PYTHON_LIB_PATH=%CD%\Python\Library\bin"
-
+    :: Activate Python Environment
+    set PYTHON_PREFIX=%%v
+    set "CONDA_LIB_PATH=%CONDA_HOME%\envs\%%v\Library\bin"
     if not "%ADDITIONAL_PATH%" == "" (
-        set "PATH=%ADDITIONAL_PATH%;%PATH%"
+        set "PATH=%ADDITIONAL_PATH%;%CONDA_HOME%\envs\%%v;%CONDA_HOME%\envs\%%v\scripts;%CONDA_HOME%\envs\%%v\Library\bin;%ORIG_PATH%"
+    ) else (
+        set "PATH=%CONDA_HOME%\envs\%%v;%CONDA_HOME%\envs\%%v\scripts;%CONDA_HOME%\envs\%%v\Library\bin;%ORIG_PATH%"
     )
-
     pip install ninja
     @setlocal
     :: Set Flags
     if not "%CUDA_VERSION%"=="cpu" if not "%CUDA_VERSION%" == "xpu" (
-        set "MAGMA_HOME=%cd%\magma_%CUDA_PREFIX%_%BUILD_TYPE%"
+        set MAGMA_HOME=%cd%\magma_%CUDA_PREFIX%_%BUILD_TYPE%
     )
     echo "Calling arch build script"
     call %CUDA_PREFIX%.bat

.ci/pytorch/windows/condaenv.bat

@@ -0,0 +1,27 @@
+IF "%DESIRED_PYTHON%"=="" (
+    echo DESIRED_PYTHON is NOT defined.
+    exit /b 1
+)
+
+:: Create a new conda environment
+setlocal EnableDelayedExpansion
+FOR %%v IN (%DESIRED_PYTHON%) DO (
+    set PYTHON_VERSION_STR=%%v
+    set PYTHON_VERSION_STR=!PYTHON_VERSION_STR:.=!
+    conda remove -n py!PYTHON_VERSION_STR! --all -y || rmdir %CONDA_HOME%\envs\py!PYTHON_VERSION_STR! /s
+    if "%%v" == "3.9" call conda create -n py!PYTHON_VERSION_STR! -y numpy=2.0.1 boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.10" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.0.1  boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.11" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.0.1  boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.12" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.0.1  boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.13" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.1.2  boto3 cmake ninja typing_extensions setuptools=72.1.0 python=%%v
+    if "%%v" == "3.13t" call conda create -n py!PYTHON_VERSION_STR! -y -c=conda-forge numpy=2.1.2 boto3 cmake ninja typing_extensions setuptools=72.1.0 python-freethreading python=3.13
+    call conda run -n py!PYTHON_VERSION_STR! pip install pyyaml
+    call conda run -n py!PYTHON_VERSION_STR! pip install mkl-include
+    call conda run -n py!PYTHON_VERSION_STR! pip install mkl-static
+)
+endlocal
+
+:: Install libuv
+conda install -y -q -c conda-forge libuv=1.39
+set libuv_ROOT=%CONDA_HOME%\Library
+echo libuv_ROOT=%libuv_ROOT%

.ci/pytorch/windows/cuda124.bat

@@ -37,7 +37,7 @@ IF "%CUDA_PATH_V124%"=="" (
 )
 
 IF "%BUILD_VISION%" == "" (
-    set TORCH_CUDA_ARCH_LIST=6.1;7.0;7.5;8.0;8.6;9.0
+    set TORCH_CUDA_ARCH_LIST=5.0;6.0;6.1;7.0;7.5;8.0;8.6;9.0
     set TORCH_NVCC_FLAGS=-Xfatbin -compress-all
 ) ELSE (
     set NVCC_FLAGS=-D__CUDA_NO_HALF_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=compute_80 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_90,code=compute_90

.ci/pytorch/windows/cuda126.bat

@@ -37,7 +37,7 @@ IF "%CUDA_PATH_V126%"=="" (
 )
 
 IF "%BUILD_VISION%" == "" (
-    set TORCH_CUDA_ARCH_LIST=6.1;7.0;7.5;8.0;8.6;9.0
+    set TORCH_CUDA_ARCH_LIST=5.0;6.0;6.1;7.0;7.5;8.0;8.6;9.0
     set TORCH_NVCC_FLAGS=-Xfatbin -compress-all
 ) ELSE (
     set NVCC_FLAGS=-D__CUDA_NO_HALF_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=compute_80 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_90,code=compute_90

.ci/pytorch/windows/cuda128.bat

@@ -37,7 +37,7 @@ IF "%CUDA_PATH_V128%"=="" (
 )
 
 IF "%BUILD_VISION%" == "" (
-    set TORCH_CUDA_ARCH_LIST=6.1;7.0;7.5;8.0;8.6;9.0;10.0;12.0
+    set TORCH_CUDA_ARCH_LIST=5.0;6.0;6.1;7.0;7.5;8.0;8.6;9.0;10.0;12.0
     set TORCH_NVCC_FLAGS=-Xfatbin -compress-all
 ) ELSE (
     set NVCC_FLAGS=-D__CUDA_NO_HALF_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=compute_80 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_90,code=compute_90 -gencode=arch=compute_100,code=compute_100 -gencode=arch=compute_120,code=compute_120

.ci/pytorch/windows/internal/copy.bat

@@ -10,7 +10,7 @@ copy "%CUDA_PATH%\bin\nvrtc*64_*.dll*" pytorch\torch\lib
 copy "%CUDA_PATH%\extras\CUPTI\lib64\cupti64_*.dll*" pytorch\torch\lib
 
 copy "C:\Program Files\NVIDIA Corporation\NvToolsExt\bin\x64\nvToolsExt64_1.dll*" pytorch\torch\lib
-copy "%PYTHON_LIB_PATH%\libiomp*5md.dll" pytorch\torch\lib
+copy "%CONDA_LIB_PATH%\libiomp*5md.dll" pytorch\torch\lib
 
 :: Should be set in build_pytorch.bat
 copy "%libuv_ROOT%\bin\uv.dll" pytorch\torch\lib

.ci/pytorch/windows/internal/copy_cpu.bat

@@ -1,3 +1,3 @@
-copy "%PYTHON_LIB_PATH%\libiomp*5md.dll" pytorch\torch\lib
+copy "%CONDA_LIB_PATH%\libiomp*5md.dll" pytorch\torch\lib
 :: Should be set in build_pytorch.bat
-copy "%libuv_ROOT%\bin\uv.dll" pytorch\torch\lib
+copy "%libuv_ROOT%\bin\uv.dll" pytorch\torch\lib

.ci/pytorch/windows/internal/env_fix.bat

@@ -0,0 +1,38 @@
+@echo off
+
+:: Caution: Please don't use this script locally
+:: It may destroy your build environment.
+
+setlocal
+
+if not exist "%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" (
+    echo Visual Studio %VC_YEAR% C++ BuildTools is required to compile PyTorch on Windows
+    exit /b 1
+)
+
+set VC_VERSION_LOWER=17
+set VC_VERSION_UPPER=18
+if "%VC_YEAR%" == "2019" (
+    set VC_VERSION_LOWER=16
+    set VC_VERSION_UPPER=17
+)
+
+for /f "usebackq tokens=*" %%i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -legacy -products * -version [%VC_VERSION_LOWER%^,%VC_VERSION_UPPER%^) -property installationPath`) do (
+    if exist "%%i" if exist "%%i\VC\Auxiliary\Build\vcvarsall.bat" (
+        set "VS15INSTALLDIR=%%i"
+        set "VS15VCVARSALL=%%i\VC\Auxiliary\Build\vcvarsall.bat"
+        goto vswhere
+    )
+)
+
+:vswhere
+
+if "%VS15VCVARSALL%"=="" (
+    echo Visual Studio %VC_YEAR% C++ BuildTools is required to compile PyTorch on Windows
+    exit /b 1
+)
+
+call "%VS15VCVARSALL%" x86_amd64
+for /f "usebackq tokens=*" %%i in (`where link.exe`) do move "%%i" "%%i.bak"
+
+endlocal

.ci/pytorch/windows/internal/install_python.bat

@@ -1,20 +0,0 @@
-set ADDITIONAL_OPTIONS=""
-set PYTHON_EXEC="python"
-if "%DESIRED_PYTHON%" == "3.13t" (
-    echo Python version is set to 3.13t
-    set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.13.0/python-3.13.0-amd64.exe"
-    set ADDITIONAL_OPTIONS="Include_freethreaded=1"
-    set PYTHON_EXEC="python3.13t"
-) else (
-    echo DESIRED_PYTHON not defined, Python version is set to %DESIRED_PYTHON%
-    set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/%DESIRED_PYTHON%.0/python-%DESIRED_PYTHON%.0-amd64.exe" %= @lint-ignore =%
-)
-
-del python-amd64.exe
-curl --retry 3 -kL "%PYTHON_INSTALLER_URL%" --output python-amd64.exe
-if errorlevel 1 exit /b 1
-
-start /wait "" python-amd64.exe /quiet InstallAllUsers=1 PrependPath=0 Include_test=0 %ADDITIONAL_OPTIONS% TargetDir=%CD%\Python
-if errorlevel 1 exit /b 1
-
-set "PATH=%CD%\Python\Scripts;%CD%\Python;%PATH%"

.ci/pytorch/windows/internal/setup.bat

@@ -51,7 +51,7 @@ mkdir libtorch\test
 
 mkdir build
 pushd build
-%PYTHON_EXEC% ../tools/build_libtorch.py
+python ../tools/build_libtorch.py
 popd
 
 IF ERRORLEVEL 1 exit /b 1
@@ -86,7 +86,7 @@ copy /Y "%LIBTORCH_PREFIX%-%PYTORCH_BUILD_VERSION%.zip" "%PYTORCH_FINAL_PACKAGE_
 goto build_end
 
 :pytorch
-%PYTHON_EXEC% setup.py bdist_wheel -d "%PYTORCH_FINAL_PACKAGE_DIR%"
+python setup.py bdist_wheel -d "%PYTORCH_FINAL_PACKAGE_DIR%"
 
 :build_end
 IF ERRORLEVEL 1 exit /b 1

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

@@ -35,8 +35,37 @@ exit /b 1
 :wheel
 echo "install wheel package"
 
-call "internal\install_python.bat"
+set PYTHON_INSTALLER_URL=
+if "%DESIRED_PYTHON%" == "3.13t" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.13.0/python-3.13.0-amd64.exe"
+if "%DESIRED_PYTHON%" == "3.13" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.13.0/python-3.13.0-amd64.exe"
+if "%DESIRED_PYTHON%" == "3.12" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.12.0/python-3.12.0-amd64.exe"
+if "%DESIRED_PYTHON%" == "3.11" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.11.0/python-3.11.0-amd64.exe"
+if "%DESIRED_PYTHON%" == "3.10" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.10.0/python-3.10.0-amd64.exe"
+if "%DESIRED_PYTHON%" == "3.9" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.9.0/python-3.9.0-amd64.exe"
+if "%DESIRED_PYTHON%" == "3.8" set "PYTHON_INSTALLER_URL=https://www.python.org/ftp/python/3.8.2/python-3.8.2-amd64.exe"
+if "%PYTHON_INSTALLER_URL%" == "" (
+    echo Python %DESIRED_PYTHON% not supported yet
+)
 
+set ADDITIONAL_OPTIONS=""
+set PYTHON_EXEC="python"
+if "%DESIRED_PYTHON%" == "3.13t" (
+    set ADDITIONAL_OPTIONS="Include_freethreaded=1"
+    set PYTHON_EXEC="python3.13t"
+)
+
+del python-amd64.exe
+curl --retry 3 -kL "%PYTHON_INSTALLER_URL%" --output python-amd64.exe
+if errorlevel 1 exit /b 1
+
+:: According to https://docs.python.org/3/using/windows.html, setting PrependPath to 1 will prepend
+:: the installed Python to PATH system-wide. Even calling set PATH=%ORIG_PATH% later on won't make
+:: a change. As the builder directory will be removed after the smoke test, all subsequent non-binary
+:: jobs will fail to find any Python executable there
+start /wait "" python-amd64.exe /quiet InstallAllUsers=1 PrependPath=0 Include_test=0 %ADDITIONAL_OPTIONS% TargetDir=%CD%\Python
+if errorlevel 1 exit /b 1
+
+set "PATH=%CD%\Python%PYTHON_VERSION%\Scripts;%CD%\Python;%PATH%"
 if "%DESIRED_PYTHON%" == "3.13t" %PYTHON_EXEC% -m pip install --pre numpy==2.2.1 protobuf
 if "%DESIRED_PYTHON%" == "3.13" %PYTHON_EXEC% -m pip install --pre numpy==2.1.2 protobuf
 if "%DESIRED_PYTHON%" == "3.12" %PYTHON_EXEC% -m pip install --pre numpy==2.0.2 protobuf
@@ -53,7 +82,7 @@ if "%PYTORCH_BUILD_VERSION:dev=%" NEQ "%PYTORCH_BUILD_VERSION%" (
 )
 
 set "EXTRA_INDEX= "
-if "%CUDA_VERSION%" == "xpu" set "EXTRA_INDEX=--index-url https://download.pytorch.org/whl/%CHANNEL%/xpu"  %= @lint-ignore =%
+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%
 if errorlevel 1 exit /b 1
@@ -99,6 +128,7 @@ goto end
 :libtorch
 echo "install and test libtorch"
 
+if "%VC_YEAR%" == "2019" powershell internal\vs2019_install.ps1
 if "%VC_YEAR%" == "2022" powershell internal\vs2022_install.ps1
 
 if ERRORLEVEL 1 exit /b 1
@@ -110,6 +140,10 @@ pushd tmp\libtorch
 
 set VC_VERSION_LOWER=17
 set VC_VERSION_UPPER=18
+IF "%VC_YEAR%" == "2019" (
+    set VC_VERSION_LOWER=16
+    set VC_VERSION_UPPER=17
+)
 
 for /f "usebackq tokens=*" %%i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -legacy -products * -version [%VC_VERSION_LOWER%^,%VC_VERSION_UPPER%^) -property installationPath`) do (
     if exist "%%i" if exist "%%i\VC\Auxiliary\Build\vcvarsall.bat" (

.ci/pytorch/windows/internal/static_lib_test.bat

@@ -0,0 +1,132 @@
+set SRC_DIR=%~dp0
+
+pushd %SRC_DIR%\..
+
+if "%CUDA_VERSION%" == "cpu" call internal\driver_update.bat
+if errorlevel 1 exit /b 1
+
+call internal\cuda_install.bat
+set LIB=%CUDA_PATH%\lib\x64;%LIB%
+if errorlevel 1 exit /b 1
+set "ORIG_PATH=%PATH%"
+
+setlocal EnableDelayedExpansion
+set NVIDIA_GPU_EXISTS=0
+for /F "delims=" %%i in ('wmic path win32_VideoController get name') do (
+    set GPUS=%%i
+    if not "x!GPUS:NVIDIA=!" == "x!GPUS!" (
+        SET NVIDIA_GPU_EXISTS=1
+        goto gpu_check_end
+    )
+)
+:gpu_check_end
+endlocal & set NVIDIA_GPU_EXISTS=%NVIDIA_GPU_EXISTS%
+
+:: Download MAGMA Files on CUDA builds
+set MAGMA_VERSION=2.5.4
+set CUDA_PREFIX=cuda%CUDA_VERSION%
+if "%CUDA_VERSION%" == "92" set MAGMA_VERSION=2.5.2
+if "%CUDA_VERSION%" == "100" set MAGMA_VERSION=2.5.2
+
+if "%DEBUG%" == "1" (
+    set BUILD_TYPE=debug
+) else (
+    set BUILD_TYPE=release
+)
+
+if not "%CUDA_VERSION%" == "cpu" (
+    rmdir /s /q magma_%CUDA_PREFIX%_%BUILD_TYPE%
+    del magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z
+    curl -k https://s3.amazonaws.com/ossci-windows/magma_%MAGMA_VERSION%_%CUDA_PREFIX%_%BUILD_TYPE%.7z -o magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z
+    7z x -aoa magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z -omagma_%CUDA_PREFIX%_%BUILD_TYPE%
+    set LIB=%CD%\magma_%CUDA_PREFIX%_%BUILD_TYPE%\lib;%LIB%
+)
+
+echo "install conda package"
+
+:: Install Miniconda3
+set "CONDA_HOME=%CD%\conda"
+set "tmp_conda=%CONDA_HOME%"
+set "miniconda_exe=%CD%\miniconda.exe"
+
+rmdir /s /q conda
+del miniconda.exe
+curl -k https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe -o "%miniconda_exe%"
+start /wait "" "%miniconda_exe%" /S /InstallationType=JustMe /RegisterPython=0 /AddToPath=0 /D=%tmp_conda%
+if ERRORLEVEL 1 exit /b 1
+
+set "PATH=%CONDA_HOME%;%CONDA_HOME%\scripts;%CONDA_HOME%\Library\bin;%PATH%"
+
+conda create -qyn testenv python=%DESIRED_PYTHON%
+if errorlevel 1 exit /b 1
+
+call %CONDA_HOME%\condabin\activate.bat testenv
+if errorlevel 1 exit /b 1
+
+call conda install  -y -q -c conda-forge libuv=1.39
+call conda install -y -q intel-openmp
+
+echo "install and test libtorch"
+pip install cmake
+echo "installing cmake"
+
+if "%VC_YEAR%" == "2019" powershell internal\vs2019_install.ps1
+if "%VC_YEAR%" == "2022" powershell internal\vs2022_install.ps1
+
+if ERRORLEVEL 1 exit /b 1
+
+for /F "delims=" %%i in ('where /R "%PYTORCH_FINAL_PACKAGE_DIR:/=\%" *-latest.zip') do 7z x "%%i" -otmp
+if ERRORLEVEL 1 exit /b 1
+
+
+pushd tmp\libtorch
+
+set VC_VERSION_LOWER=17
+set VC_VERSION_UPPER=18
+IF "%VC_YEAR%" == "2019" (
+    set VC_VERSION_LOWER=16
+    set VC_VERSION_UPPER=17
+)
+
+for /f "usebackq tokens=*" %%i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -legacy -products * -version [%VC_VERSION_LOWER%^,%VC_VERSION_UPPER%^) -property installationPath`) do (
+    if exist "%%i" if exist "%%i\VC\Auxiliary\Build\vcvarsall.bat" (
+        set "VS15INSTALLDIR=%%i"
+        set "VS15VCVARSALL=%%i\VC\Auxiliary\Build\vcvarsall.bat"
+        goto vswhere
+    )
+)
+
+:vswhere
+IF "%VS15VCVARSALL%"=="" (
+    echo Visual Studio %VC_YEAR% C++ BuildTools is required to compile PyTorch test on Windows
+    exit /b 1
+)
+call "%VS15VCVARSALL%" x64
+
+set install_root=%CD%
+set INCLUDE=%INCLUDE%;%install_root%\include;%install_root%\include\torch\csrc\api\include
+set LIB=%LIB%;%install_root%\lib\x64
+set PATH=%PATH%;%install_root%\lib
+
+
+cd %PYTORCH_ROOT%\.ci\pytorch\test_example_code\
+mkdir build
+cd build
+
+cmake -DCMAKE_PREFIX_PATH=%install_root% ..
+
+if ERRORLEVEL 1 exit /b 1
+
+cmake --build . --config Release
+
+.\Release\simple-torch-test.exe
+if ERRORLEVEL 1 exit /b 1
+
+popd
+
+echo Cleaning temp files
+rd /s /q "tmp" || ver > nul
+
+:end
+set "PATH=%ORIG_PATH%"
+popd

.ci/pytorch/windows/internal/vc_install_helper.bat

@@ -1,8 +1,12 @@
+if "%VC_YEAR%" == "2019" powershell windows/internal/vs2019_install.ps1
 if "%VC_YEAR%" == "2022" powershell windows/internal/vs2022_install.ps1
 
 set VC_VERSION_LOWER=17
 set VC_VERSION_UPPER=18
-
+if "%VC_YEAR%" == "2019" (
+    set VC_VERSION_LOWER=16
+    set VC_VERSION_UPPER=17
+)
 
 for /f "usebackq tokens=*" %%i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe"  -products Microsoft.VisualStudio.Product.BuildTools -version [%VC_VERSION_LOWER%^,%VC_VERSION_UPPER%^) -property installationPath`) do (
     if exist "%%i" if exist "%%i\VC\Auxiliary\Build\vcvarsall.bat" (

.ci/pytorch/windows/internal/vs2019_install.ps1

@@ -0,0 +1,48 @@
+# https://developercommunity.visualstudio.com/t/install-specific-version-of-vs-component/1142479
+# https://docs.microsoft.com/en-us/visualstudio/releases/2019/history#release-dates-and-build-numbers
+
+# 16.8.6 BuildTools
+$VS_DOWNLOAD_LINK = "https://ossci-windows.s3.us-east-1.amazonaws.com/vs16.8.6_BuildTools.exe"
+$COLLECT_DOWNLOAD_LINK = "https://aka.ms/vscollect.exe"
+$VS_INSTALL_ARGS = @("--nocache","--quiet","--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.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.ComponentGroup.NativeDesktop.Win81")
+
+curl.exe --retry 3 -kL $VS_DOWNLOAD_LINK --output vs_installer.exe
+if ($LASTEXITCODE -ne 0) {
+    echo "Download of the VS 2019 Version 16.8.5 installer failed"
+    exit 1
+}
+
+if (Test-Path "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe") {
+    $existingPath = & "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe" -products "Microsoft.VisualStudio.Product.BuildTools" -version "[16, 17)" -property installationPath
+    if ($existingPath -ne $null) {
+        if (!${env:CIRCLECI}) {
+            echo "Found correctly versioned existing BuildTools installation in $existingPath"
+            exit 0
+        }
+        echo "Found existing BuildTools installation in $existingPath, keeping it"
+    }
+}
+
+$process = Start-Process "${PWD}\vs_installer.exe" -ArgumentList $VS_INSTALL_ARGS -NoNewWindow -Wait -PassThru
+Remove-Item -Path vs_installer.exe -Force
+$exitCode = $process.ExitCode
+if (($exitCode -ne 0) -and ($exitCode -ne 3010)) {
+    echo "VS 2019 installer exited with code $exitCode, which should be one of [0, 3010]."
+    curl.exe --retry 3 -kL $COLLECT_DOWNLOAD_LINK --output Collect.exe
+    if ($LASTEXITCODE -ne 0) {
+        echo "Download of the VS Collect tool failed."
+        exit 1
+    }
+    Start-Process "${PWD}\Collect.exe" -NoNewWindow -Wait -PassThru
+    New-Item -Path "C:\w\build-results" -ItemType "directory" -Force
+    Copy-Item -Path "C:\Users\${env:USERNAME}\AppData\Local\Temp\vslogs.zip" -Destination "C:\w\build-results\"
+    exit 1
+}

.ci/pytorch/windows/internal/vs_install.bat

@@ -0,0 +1,28 @@
+@echo off
+
+set VS_DOWNLOAD_LINK=https://download.visualstudio.microsoft.com/download/pr/8f480125-28b8-4a2c-847c-c2b02a8cdd1b/64be21d4ada005d7d07896ed0b004c322409bd04d6e8eba4c03c9fa39c928e7a/vs_BuildTools.exe
+IF "%VS_LATEST%" == "1" (
+   set VS_INSTALL_ARGS= --nocache --norestart --quiet --wait --add Microsoft.VisualStudio.Workload.VCTools
+   set VSDEVCMD_ARGS=
+) ELSE (
+   set VS_INSTALL_ARGS=--nocache --quiet --wait --add Microsoft.VisualStudio.Workload.VCTools ^
+                                                --add Microsoft.VisualStudio.Component.VC.Tools.14.34 ^
+                                                --add Microsoft.Component.MSBuild ^
+                                                --add Microsoft.VisualStudio.Component.Roslyn.Compiler ^
+                                                --add Microsoft.VisualStudio.Component.TextTemplating ^
+                                                --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.VC.Tools.14.34 ^
+                                                --add Microsoft.VisualStudio.ComponentGroup.NativeDesktop.Win81
+   set VSDEVCMD_ARGS=-vcvars_ver=14.34
+)
+
+curl -k -L %VS_DOWNLOAD_LINK% --output vs_installer.exe
+if errorlevel 1 exit /b 1
+
+start /wait .\vs_installer.exe %VS_INSTALL_ARGS%
+if not errorlevel 0 exit /b 1
+if errorlevel 1 if not errorlevel 3010 exit /b 1
+if errorlevel 3011 exit /b 1

.ci/pytorch/windows/setup_build.bat

@@ -1,27 +0,0 @@
-IF "%DESIRED_PYTHON%"=="" (
-    echo DESIRED_PYTHON is NOT defined.
-    exit /b 1
-)
-
-call "internal\install_python.bat"
-
-%PYTHON_EXEC% --version
-set "PATH=%CD%\Python\Lib\site-packages\cmake\data\bin;%CD%\Python\Scripts;%CD%\Python;%PATH%"
-if "%DESIRED_PYTHON%" == "3.13t" %PYTHON_EXEC% -m pip install numpy==2.2.1 cmake
-if "%DESIRED_PYTHON%" == "3.13" %PYTHON_EXEC% -m pip install numpy==2.1.2 cmake
-if "%DESIRED_PYTHON%" == "3.12" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
-if "%DESIRED_PYTHON%" == "3.11" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
-if "%DESIRED_PYTHON%" == "3.10" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
-if "%DESIRED_PYTHON%" == "3.9" %PYTHON_EXEC% -m pip install numpy==2.0.2 cmake
-
-%PYTHON_EXEC% -m pip install pyyaml
-%PYTHON_EXEC% -m pip install mkl-include mkl-static
-%PYTHON_EXEC% -m pip install boto3 ninja typing_extensions setuptools==72.1.0
-
-where cmake.exe
-
-:: Install libuv
-curl -k https://s3.amazonaws.com/ossci-windows/libuv-1.40.0-h8ffe710_0.tar.bz2 -o libuv-1.40.0-h8ffe710_0.tar.bz2
-7z x -aoa libuv-1.40.0-h8ffe710_0.tar.bz2
-tar -xvf libuv-1.40.0-h8ffe710_0.tar -C %CD%\Python\
-set libuv_ROOT=%CD%\Python\Library

.circleci/scripts/binary_ios_build.sh

@@ -0,0 +1,47 @@
+#!/bin/bash
+set -ex -o pipefail
+
+echo ""
+echo "DIR: $(pwd)"
+WORKSPACE=/Users/distiller/workspace
+PROJ_ROOT=/Users/distiller/project
+export TCLLIBPATH="/usr/local/lib"
+
+# Install conda
+curl --retry 3 -o ~/conda.sh https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-MacOSX-x86_64.sh
+chmod +x ~/conda.sh
+/bin/bash ~/conda.sh -b -p ~/anaconda
+export PATH="~/anaconda/bin:${PATH}"
+source ~/anaconda/bin/activate
+
+# Install dependencies
+conda install numpy ninja pyyaml mkl mkl-include setuptools cmake requests typing-extensions --yes
+conda install -c conda-forge valgrind --yes
+export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
+
+# sync submodules
+cd ${PROJ_ROOT}
+git submodule sync
+git submodule update --init --recursive
+
+# run build script
+chmod a+x ${PROJ_ROOT}/scripts/build_ios.sh
+echo "########################################################"
+cat ${PROJ_ROOT}/scripts/build_ios.sh
+echo "########################################################"
+echo "IOS_ARCH: ${IOS_ARCH}"
+echo "IOS_PLATFORM: ${IOS_PLATFORM}"
+echo "USE_PYTORCH_METAL: ${USE_PYTORCH_METAL}"
+echo "USE_COREML_DELEGATE: ${USE_COREML_DELEGATE}"
+export IOS_ARCH=${IOS_ARCH}
+export IOS_PLATFORM=${IOS_PLATFORM}
+export USE_PYTORCH_METAL=${USE_PYTORCH_METAL}
+export USE_COREML_DELEGATE=${USE_COREML_DELEGATE}
+unbuffer ${PROJ_ROOT}/scripts/build_ios.sh 2>&1 | ts
+
+#store the binary
+cd ${WORKSPACE}
+DEST_DIR=${WORKSPACE}/ios
+mkdir -p ${DEST_DIR}
+cp -R ${PROJ_ROOT}/build_ios/install ${DEST_DIR}
+mv ${DEST_DIR}/install ${DEST_DIR}/${IOS_ARCH}

.circleci/scripts/binary_ios_test.sh

@@ -0,0 +1,19 @@
+#!/bin/bash
+set -ex -o pipefail
+
+if ! [ "$IOS_PLATFORM" == "SIMULATOR" ]; then
+    exit 0
+fi
+
+echo ""
+echo "DIR: $(pwd)"
+PROJ_ROOT=/Users/distiller/project
+cd ${PROJ_ROOT}/ios/TestApp
+# install fastlane
+sudo gem install bundler && bundle install
+# run the ruby build script
+if ! [ -x "$(command -v xcodebuild)" ]; then
+    echo 'Error: xcodebuild is not installed.'
+    exit 1
+fi
+ruby ${PROJ_ROOT}/scripts/xcode_build.rb -i ${PROJ_ROOT}/build_ios/install -x ${PROJ_ROOT}/ios/TestApp/TestApp.xcodeproj -p ${IOS_PLATFORM}

.circleci/scripts/binary_ios_upload.sh

@@ -0,0 +1,75 @@
+#!/bin/bash
+set -ex -o pipefail
+
+echo ""
+echo "DIR: $(pwd)"
+WORKSPACE=/Users/distiller/workspace
+PROJ_ROOT=/Users/distiller/project
+ARTIFACTS_DIR=${WORKSPACE}/ios
+ls ${ARTIFACTS_DIR}
+ZIP_DIR=${WORKSPACE}/zip
+mkdir -p ${ZIP_DIR}/install/lib
+mkdir -p ${ZIP_DIR}/src
+# copy header files
+cp -R ${ARTIFACTS_DIR}/arm64/include ${ZIP_DIR}/install/
+# build a FAT bianry
+cd ${ZIP_DIR}/install/lib
+target_libs=(libc10.a libclog.a libcpuinfo.a libeigen_blas.a libpthreadpool.a libpytorch_qnnpack.a libtorch_cpu.a libtorch.a libXNNPACK.a libmicrokernels-prod.a)
+for lib in ${target_libs[*]}
+do
+    if [ -f "${ARTIFACTS_DIR}/x86_64/lib/${lib}" ] && [ -f "${ARTIFACTS_DIR}/arm64/lib/${lib}" ]; then
+        libs=("${ARTIFACTS_DIR}/x86_64/lib/${lib}" "${ARTIFACTS_DIR}/arm64/lib/${lib}")
+        lipo -create "${libs[@]}" -o ${ZIP_DIR}/install/lib/${lib}
+    fi
+done
+lipo -i ${ZIP_DIR}/install/lib/*.a
+echo "BUILD_LITE_INTERPRETER: ${BUILD_LITE_INTERPRETER}"
+# copy the umbrella header and license
+if [ "${BUILD_LITE_INTERPRETER}" == "1" ]; then
+    cp ${PROJ_ROOT}/ios/LibTorch-Lite.h ${ZIP_DIR}/src/
+else
+    cp ${PROJ_ROOT}/ios/LibTorch.h ${ZIP_DIR}/src/
+fi
+cp ${PROJ_ROOT}/LICENSE ${ZIP_DIR}/
+# zip the library
+export DATE="$(date -u +%Y%m%d)"
+export IOS_NIGHTLY_BUILD_VERSION="2.2.0.${DATE}"
+if [ "${BUILD_LITE_INTERPRETER}" == "1" ]; then
+    # libtorch_lite_ios_nightly_1.11.0.20210810.zip
+    ZIPFILE="libtorch_lite_ios_nightly_${IOS_NIGHTLY_BUILD_VERSION}.zip"
+else
+    ZIPFILE="libtorch_ios_nightly_build.zip"
+fi
+cd ${ZIP_DIR}
+#for testing
+touch version.txt
+echo "${IOS_NIGHTLY_BUILD_VERSION}" > version.txt
+zip -r ${ZIPFILE} install src version.txt LICENSE
+# upload to aws
+# Install conda then 'conda install' awscli
+curl --retry 3 -o ~/conda.sh https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-MacOSX-x86_64.sh
+chmod +x ~/conda.sh
+/bin/bash ~/conda.sh -b -p ~/anaconda
+export PATH="~/anaconda/bin:${PATH}"
+source ~/anaconda/bin/activate
+conda install -c conda-forge awscli --yes
+set +x
+export AWS_ACCESS_KEY_ID=${AWS_S3_ACCESS_KEY_FOR_PYTORCH_BINARY_UPLOAD}
+export AWS_SECRET_ACCESS_KEY=${AWS_S3_ACCESS_SECRET_FOR_PYTORCH_BINARY_UPLOAD}
+set +x
+# echo "AWS KEY: ${AWS_ACCESS_KEY_ID}"
+# echo "AWS SECRET: ${AWS_SECRET_ACCESS_KEY}"
+aws s3 cp ${ZIPFILE} s3://ossci-ios-build/ --acl public-read
+
+if [ "${BUILD_LITE_INTERPRETER}" == "1" ]; then
+    # create a new LibTorch-Lite-Nightly.podspec from the template
+    echo "cp ${PROJ_ROOT}/ios/LibTorch-Lite-Nightly.podspec.template ${PROJ_ROOT}/ios/LibTorch-Lite-Nightly.podspec"
+    cp ${PROJ_ROOT}/ios/LibTorch-Lite-Nightly.podspec.template ${PROJ_ROOT}/ios/LibTorch-Lite-Nightly.podspec
+
+    # update pod version
+    sed -i '' -e "s/IOS_NIGHTLY_BUILD_VERSION/${IOS_NIGHTLY_BUILD_VERSION}/g" ${PROJ_ROOT}/ios/LibTorch-Lite-Nightly.podspec
+    cat ${PROJ_ROOT}/ios/LibTorch-Lite-Nightly.podspec
+
+    # push the new LibTorch-Lite-Nightly.podspec to CocoaPods
+    pod trunk push --verbose --allow-warnings --use-libraries --skip-import-validation ${PROJ_ROOT}/ios/LibTorch-Lite-Nightly.podspec
+fi