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sandeepgupta12sandeepgupta12
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Merge branch 'temp-gha-runner-v2' of https://github.com/sandeepgupta12/pytorch into temp-gha-runner-v2
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‎.ci/docker/almalinux/Dockerfile‎

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@@ -78,7 +78,7 @@ RUN bash ./install_mnist.sh
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FROM base as all_cuda
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COPY --from=cuda11.8 /usr/local/cuda-11.8 /usr/local/cuda-11.8
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COPY --from=cuda12.6 /usr/local/cuda-12.6 /usr/local/cuda-12.6
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COPY --from=cuda12.4 /usr/local/cuda-12.8 /usr/local/cuda-12.8
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COPY --from=cuda12.8 /usr/local/cuda-12.8 /usr/local/cuda-12.8
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# Final step
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FROM ${BASE_TARGET} as final

‎.ci/docker/ci_commit_pins/executorch.txt‎

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b173722085b3f555d6ba4533d6bbaddfd7c71144
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f50bfa92602b45dca884a9e511e5d9ddbe8ba314

‎.ci/docker/common/install_cuda.sh‎

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@@ -55,7 +55,7 @@ function install_118 {
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}
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function install_126 {
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CUDNN_VERSION=9.10.1.4
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CUDNN_VERSION=9.5.1.17
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echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
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install_cuda 12.6.3 cuda_12.6.3_560.35.05_linux
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@@ -134,7 +134,7 @@ function prune_126 {
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}
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function install_128 {
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CUDNN_VERSION=9.10.1.4
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CUDNN_VERSION=9.8.0.87
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echo "Installing CUDA 12.8.1 and cuDNN ${CUDNN_VERSION} and NCCL and cuSparseLt-0.6.3"
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# install CUDA 12.8.1 in the same container
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install_cuda 12.8.1 cuda_12.8.1_570.124.06_linux

‎.ci/docker/common/install_cudnn.sh‎

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@@ -5,9 +5,9 @@ if [[ -n "${CUDNN_VERSION}" ]]; then
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mkdir tmp_cudnn
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pushd tmp_cudnn
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if [[ ${CUDA_VERSION:0:4} == "12.8" ]]; then
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CUDNN_NAME="cudnn-linux-x86_64-9.10.1.4_cuda12-archive"
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CUDNN_NAME="cudnn-linux-x86_64-9.8.0.87_cuda12-archive"
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elif [[ ${CUDA_VERSION:0:4} == "12.6" ]]; then
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CUDNN_NAME="cudnn-linux-x86_64-9.10.1.4_cuda12-archive"
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CUDNN_NAME="cudnn-linux-x86_64-9.5.1.17_cuda12-archive"
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elif [[ ${CUDA_VERSION:0:2} == "11" ]]; then
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CUDNN_NAME="cudnn-linux-x86_64-9.1.0.70_cuda11-archive"
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else

‎.ci/manywheel/build_rocm.sh‎

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@@ -192,23 +192,23 @@ ARCH=$(echo $PYTORCH_ROCM_ARCH | sed 's/;/|/g') # Replace ; seperated arch list
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# rocBLAS library files
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ROCBLAS_LIB_SRC=$ROCM_HOME/lib/rocblas/library
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ROCBLAS_LIB_DST=lib/rocblas/library
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ARCH_SPECIFIC_FILES=$(ls $ROCBLAS_LIB_SRC | grep -E $ARCH)
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OTHER_FILES=$(ls $ROCBLAS_LIB_SRC | grep -v gfx)
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ROCBLAS_LIB_FILES=($ARCH_SPECIFIC_FILES $OTHER_FILES)
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ROCBLAS_ARCH_SPECIFIC_FILES=$(ls $ROCBLAS_LIB_SRC | grep -E $ARCH)
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ROCBLAS_OTHER_FILES=$(ls $ROCBLAS_LIB_SRC | grep -v gfx)
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ROCBLAS_LIB_FILES=($ROCBLAS_ARCH_SPECIFIC_FILES $OTHER_FILES)
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# hipblaslt library files
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HIPBLASLT_LIB_SRC=$ROCM_HOME/lib/hipblaslt/library
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HIPBLASLT_LIB_DST=lib/hipblaslt/library
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ARCH_SPECIFIC_FILES=$(ls $HIPBLASLT_LIB_SRC | grep -E $ARCH)
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OTHER_FILES=$(ls $HIPBLASLT_LIB_SRC | grep -v gfx)
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HIPBLASLT_LIB_FILES=($ARCH_SPECIFIC_FILES $OTHER_FILES)
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HIPBLASLT_ARCH_SPECIFIC_FILES=$(ls $HIPBLASLT_LIB_SRC | grep -E $ARCH)
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HIPBLASLT_OTHER_FILES=$(ls $HIPBLASLT_LIB_SRC | grep -v gfx)
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HIPBLASLT_LIB_FILES=($HIPBLASLT_ARCH_SPECIFIC_FILES $HIPBLASLT_OTHER_FILES)
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# hipsparselt library files
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HIPSPARSELT_LIB_SRC=$ROCM_HOME/lib/hipsparselt/library
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HIPSPARSELT_LIB_DST=lib/hipsparselt/library
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ARCH_SPECIFIC_FILES=$(ls $HIPSPARSELT_LIB_SRC | grep -E $ARCH)
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OTHER_FILES=$(ls $HIPSPARSELT_LIB_SRC | grep -v gfx)
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HIPSPARSELT_LIB_FILES=($ARCH_SPECIFIC_FILES $OTHER_FILES)
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HIPSPARSELT_ARCH_SPECIFIC_FILES=$(ls $HIPSPARSELT_LIB_SRC | grep -E $ARCH)
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#HIPSPARSELT_OTHER_FILES=$(ls $HIPSPARSELT_LIB_SRC | grep -v gfx)
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HIPSPARSELT_LIB_FILES=($HIPSPARSELT_ARCH_SPECIFIC_FILES $HIPSPARSELT_OTHER_FILES)
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# ROCm library files
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ROCM_SO_PATHS=()

‎.ci/pytorch/build.sh‎

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export USE_LLVM=/opt/llvm
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export LLVM_DIR=/opt/llvm/lib/cmake/llvm
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if [[ "$BUILD_ENVIRONMENT" == *executorch* ]]; then
56-
# To build test_edge_op_registration
57-
export BUILD_EXECUTORCH=ON
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export USE_CUDA=0
59-
fi
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if ! which conda; then
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# In ROCm CIs, we are doing cross compilation on build machines with
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# intel cpu and later run tests on machines with amd cpu.

‎.github/scripts/generate_binary_build_matrix.py‎

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"nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | "
64-
"nvidia-cudnn-cu12==9.10.1.4; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
@@ -78,7 +78,7 @@
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"nvidia-cuda-nvrtc-cu12==12.8.93; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-runtime-cu12==12.8.90; platform_system == 'Linux' and platform_machine == 'x86_64' | "
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"nvidia-cuda-cupti-cu12==12.8.90; platform_system == 'Linux' and platform_machine == 'x86_64' | "
81-
"nvidia-cudnn-cu12==9.10.1.4; platform_system == 'Linux' and platform_machine == 'x86_64' | "
81+
"nvidia-cudnn-cu12==9.8.0.87; platform_system == 'Linux' and platform_machine == 'x86_64' | "
8282
"nvidia-cublas-cu12==12.8.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
8383
"nvidia-cufft-cu12==11.3.3.83; platform_system == 'Linux' and platform_machine == 'x86_64' | "
8484
"nvidia-curand-cu12==10.3.9.90; platform_system == 'Linux' and platform_machine == 'x86_64' | "

‎.github/workflows/build-magma-windows.yml‎

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jobs:
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build-windows-magma:
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if: github.repository_owner == 'pytorch'
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runs-on: windows-2019
22+
runs-on: windows-2022
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strategy:
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matrix:
25-
cuda_version: ["128", "126", "118"]
25+
cuda_version: ["128", "126"]
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config: ["Release", "Debug"]
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env:
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CUDA_VERSION: ${{ matrix.cuda_version }}
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CONFIG: ${{ matrix.config }}
30+
VC_YEAR: "2022"
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steps:
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- name: Checkout pytorch/pytorch
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uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

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

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@@ -3,19 +3,9 @@ name: Build manywheel docker images for s390x
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on:
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workflow_dispatch:
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push:
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branches:
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- main
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- release/*
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tags:
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# NOTE: Binary build pipelines should only get triggered on release candidate or nightly builds
11-
# Release candidate tags look like: v1.11.0-rc1
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- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
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- ciflow/s390/*
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paths:
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- .ci/docker/**
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- .github/workflows/build-manywheel-images-s390x.yml
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pull_request:
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paths:
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- .ci/docker/**
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- .github/workflows/build-manywheel-images-s390x.yml
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