Add nightly build workflow

.github/workflows/build_wheels_linux.yml

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+# From https://github.com/pytorch/test-infra/wiki/Using-Nova-Reusable-Build-Workflows
+name: Build Linux Wheels
+
+on:
+  pull_request:
+    paths:
+      - build/packaging/**
+      - .github/workflows/build_wheels_linux.yml
+  schedule:
+    - cron: '0 0 * * *'  # Runs at midnight UTC every day
+  workflow_dispatch:
+
+jobs:
+  generate-matrix:
+    uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
+    with:
+      package-type: wheel
+      os: linux
+      with-cpu: enable
+      with-cuda: enable
+      with-rocm: disable
+
+  build:
+    needs: generate-matrix
+    permissions:
+      id-token: write
+      contents: read
+    uses: pytorch/test-infra/.github/workflows/build_wheels_linux.yml@main
+    with:
+      # Set the ref to an empty string instead of the default nightly because
+      # torchao doesn't have nightly branch setup yet, instead the build is
+      # triggered daily from main with a schedule
+      repository: pytorch/ao
+      ref: ""
+      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      env-var-script: packaging/env_var_script_linux.sh
+      pre-script: packaging/pre_build_script.sh
+      post-script: packaging/post_build_script.sh
+      smoke-test-script: packaging/smoke_test.py
+      package-name: torchao
+      trigger-event: ${{ github.event_name }}
+      # This is the CUDA version to be uploaded to torchao-nightly pypi
+      upload-to-pypi: cu121
+    secrets:
+      PYPI_API_TOKEN: ${{ secrets.PYPI_API_TOKEN }}

packaging/env_var_script_linux.sh

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+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# This file is sourced into the environment before building a pip wheel. It
+# should typically only contain shell variable assignments. Be sure to export
+# any variables so that subprocesses will see them.
+if [[ ${CHANNEL:-nightly} == "nightly" ]]; then
+  export TORCHAO_NIGHTLY=1
+fi
+
+# Set ARCH list so that we can build fp16 with SM75+, the logic is copied from
+# pytorch/builder
+TORCH_CUDA_ARCH_LIST="8.0;8.6"
+if [[ ${CU_VERSION:-} == "cu124" ]]; then
+  TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};9.0"
+fi

packaging/post_build_script.sh

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+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -eux
+
+WHEEL_NAME=$(ls dist/)
+
+pushd dist
+# Prepare manywheel
+auditwheel repair --plat manylinux2014_x86_64 -w . \
+    --exclude libtorch.so \
+    --exclude libtorch_python.so \
+    --exclude libtorch_cuda.so \
+    --exclude libtorch_cpu.so \
+    --exclude libc10.so \
+    --exclude libc10_cuda.so \
+    --exclude libcudart.so.12 \
+    --exclude libcudart.so.11.0 \
+    "${WHEEL_NAME}"
+
+ls -lah .
+# Clean up the linux_x86_64 wheel
+rm "${WHEEL_NAME}"
+popd
+
+MANYWHEEL_NAME=$(ls dist/)
+# Try to install the new wheel
+pip install "dist/${MANYWHEEL_NAME}"
+# and validating it by running the unit tests. Some tests are failing here and
+# there, so let's add more of them later
+pytest -v test/test_ops.py

packaging/pre_build_script.sh

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+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -eux
+
+echo "This script is run before building torchao binaries"
+
+pip install setuptools wheel twine auditwheel
+pip install -r requirements.txt
+pip install -r dev-requirements.txt

packaging/smoke_test.py

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+#!/usr/bin/env python3
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import subprocess
+import torchao.ops
+
+
+def main():
+    """
+    Run torchao binary smoke tests like importing and performing simple ops
+    """
+    print(dir(torchao.ops))
+
+
+if __name__ == "__main__":
+    main()