Arm64 workflow enablement

.github/workflows/build_wheel_windows_arm64.yml

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+name: Build Windows ARM64 Wheels
+
+on:
+  pull_request:
+  push:
+    branches:
+      - nightly
+      - main
+      - release/*
+    tags:
+        # NOTE: Binary build pipelines should only get triggered on release candidate builds
+        # Release candidate tags look like: v1.11.0-rc1
+        - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
+  workflow_dispatch:
+
+permissions:
+  id-token: write
+  contents: read
+
+jobs:
+  generate-matrix:
+    uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
+    with:
+      package-type: wheel
+      os: windows-arm64
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      with-cuda: disable
+
+  build:
+    needs: generate-matrix
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/vision
+            smoke-test-script: test/smoke_test.py
+            pre-script: packaging/pre_build_script_arm64.sh
+            package-name: torchvision
+            architecture: "arm64"
+    name: ${{ matrix.repository }}
+    uses: pytorch/test-infra/.github/workflows/build_wheels_windows.yml@main
+    with:
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      pre-script: ${{ matrix.pre-script }}
+      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      package-name: ${{ matrix.package-name }}
+      smoke-test-script: ${{ matrix.smoke-test-script }}
+      trigger-event: ${{ github.event_name }}
+      architecture: ${{ matrix.architecture }}

packaging/pre_build_script_arm64.sh

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+#!/bin/bash
+
+echo "Building vision dependencies and wheel started."
+
+# Set environment variables
+export SRC_PATH="$GITHUB_WORKSPACE/$SRC_DIR"
+export CMAKE_BUILD_TYPE="$BUILD_TYPE"
+export VCVARSALL_PATH="$DEPENDENCIES_DIR/VSBuildTools/VC/Auxiliary/Build/vcvarsall.bat"
+export CONDA_PREFIX="$DEPENDENCIES_DIR"
+export PATH="$PATH:$CONDA_PREFIX/Library/bin"
+export DISTUTILS_USE_SDK=1
+export TRIPLET_FILE="triplets/arm64-windows.cmake"
+export PYTORCH_VERSION="$PYTORCH_VERSION"
+export CHANNEL="$CHANNEL"
+
+echo "channel: $CHANNEL"
+
+# Dependencies
+mkdir -p "$DOWNLOADS_DIR"
+mkdir -p "$DEPENDENCIES_DIR"
+echo "*" > "$DOWNLOADS_DIR/.gitignore"
+echo "*" > "$DEPENDENCIES_DIR/.gitignore"
+
+# Install vcpkg
+cd "$DOWNLOADS_DIR" || exit
+git clone https://github.com/microsoft/vcpkg.git
+cd vcpkg || exit
+./bootstrap-vcpkg.sh
+
+# # Set vcpkg to only build release packages
+echo "set(VCPKG_BUILD_TYPE release)" >> "$TRIPLET_FILE"
+
+# Install dependencies using vcpkg
+./vcpkg install libjpeg-turbo:arm64-windows --x-install-root="$DEPENDENCIES_DIR"
+./vcpkg install libwebp:arm64-windows --x-install-root="$DEPENDENCIES_DIR"
+./vcpkg install libpng[tools]:arm64-windows --x-install-root="$DEPENDENCIES_DIR"
+
+# Copy files using cp (replace robocopy)
+cp "$DEPENDENCIES_DIR/arm64-windows/lib/libpng16.lib" "$DEPENDENCIES_DIR/arm64-windows/lib/libpng.lib"
+cp "$DEPENDENCIES_DIR/arm64-windows/bin/libpng16.dll" "$DEPENDENCIES_DIR/arm64-windows/bin/libpng.dll"
+cp "$DEPENDENCIES_DIR/arm64-windows/bin/libpng16.pdb" "$DEPENDENCIES_DIR/arm64-windows/bin/libpng.pdb"
+mkdir -p "$DEPENDENCIES_DIR/Library/"
+cp -r "$DEPENDENCIES_DIR/arm64-windows/"* "$DEPENDENCIES_DIR/Library/"
+cp -r "$DEPENDENCIES_DIR/Library/tools/libpng/"* "$DEPENDENCIES_DIR/Library/bin/"
+cp -r "$DEPENDENCIES_DIR/Library/bin/"* "$SRC_PATH/torchvision"
+
+# Source directory
+cd "$SRC_PATH" || exit
+
+# Create virtual environment
+python -m pip install --upgrade pip
+python -m venv .venv
+echo "*" > .venv/.gitignore
+source .venv/Scripts/activate
+
+# Install dependencies
+pip install numpy==2.2.3
+
+if [ "$CHANNEL" = "release" ]; then
+  echo "Installing latest stable version of PyTorch."
+  pip3 install torch
+elif [ "$CHANNEL" = "test" ]; then
+  echo "Installing PyTorch version $PYTORCH_VERSION."
+  pip3 install torch=="$PYTORCH_VERSION"
+else
+  echo "CHANNEL is not set, installing PyTorch from nightly."
+  pip3 install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu
+fi
+
+echo "Dependencies install finished successfully."