Fix for MPS regression in #122016 and #123178 (#123385)

Fixes #122016 and #123178. This regression is related to an OS side change that requires a slight adjustment from us on PyTorch side to restore the previous behavior. Additionally we cleared out pre-MacOS13 related workarounds.

Before the fix on MacOS 14.4:

```
python -c "import torch;x=torch.zeros(3, device='mps');x[1] = 1; x[2] = 3; print(x)"
tensor([0., 3., 3.], device='mps:0')
```

After the fix:
```
python -c "import torch;x=torch.zeros(3, device='mps');x[1] = 1; x[2] = 3; print(x)"
tensor([0., 1., 3.], device='mps:0')
```

This also fixes complex number initialization and as such makes `nn.functional.rms_norm` pass on MacOS-14+

Co-authored-by: Nikita Shulga <2453524+malfet@users.noreply.github.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/123234
Approved by: https://github.com/malfet, https://github.com/kulinseth

(cherry picked from commit 05289a278c3eaca271061649982f38c435b50674)

Co-authored-by: Joona Havukainen <jhavukainen@apple.com>

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

@@ -1 +1 @@
-0a22a91d04c2b4a029a69a198eac390089c3e891
+d08e16b738ab550c3af51305df624d5c823dc445

.ci/docker/ci_commit_pins/triton.txt

@@ -1 +1 @@
-a9bc1a36470eefafe0e2ab2503b8698f1e89e7e3
+79c6c9b209a5692b9a895398f4f3a033f8f80415

.ci/docker/common/install_conda.sh

@@ -57,8 +57,21 @@ fi
   # Uncomment the below when resolved to track the latest conda update
   # as_jenkins conda update -y -n base conda
 
+  if [[ $(uname -m) == "aarch64" ]]; then
+    export SYSROOT_DEP="sysroot_linux-aarch64=2.17"
+  else
+    export SYSROOT_DEP="sysroot_linux-64=2.17"
+  fi
+
   # Install correct Python version
-  as_jenkins conda create -n py_$ANACONDA_PYTHON_VERSION -y python="$ANACONDA_PYTHON_VERSION"
+  # Also ensure sysroot is using a modern GLIBC to match system compilers
+  as_jenkins conda create -n py_$ANACONDA_PYTHON_VERSION -y\
+             python="$ANACONDA_PYTHON_VERSION" \
+             ${SYSROOT_DEP}
+
+  # 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 -c conda-forge
 
   # Install PyTorch conda deps, as per https://github.com/pytorch/pytorch README
   if [[ $(uname -m) == "aarch64" ]]; then
@@ -110,14 +123,5 @@ fi
     pip_install -r /opt/conda/requirements-docs.txt
   fi
 
-  # HACK HACK HACK
-  # gcc-9 for ubuntu-18.04 from http://ppa.launchpad.net/ubuntu-toolchain-r/test/ubuntu
-  # Pulls llibstdc++6 13.1.0-8ubuntu1~18.04 which is too new for conda
-  # So remove libstdc++6.so.3.29 installed by https://anaconda.org/anaconda/libstdcxx-ng/files?version=11.2.0
-  # Same is true for gcc-12 from Ubuntu-22.04
-  if grep -e [12][82].04.[623] /etc/issue >/dev/null; then
-    rm /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/lib/libstdc++.so.6
-  fi
-
   popd
 fi

.ci/docker/triton_version.txt

@@ -1 +1 @@
-3.0.0
+2.3.0

.ci/pytorch/build.sh

@@ -255,6 +255,11 @@ else
     # or building non-XLA tests.
     if [[ "$BUILD_ENVIRONMENT" != *rocm*  &&
           "$BUILD_ENVIRONMENT" != *xla* ]]; then
+      if [[ "$BUILD_ENVIRONMENT" != *py3.8* ]]; then
+        # Install numpy-2.0 release candidate for builds
+        # Which should be backward compatible with Numpy-1.X
+        python -mpip install --pre numpy==2.0.0rc1
+      fi
       WERROR=1 python setup.py bdist_wheel
     else
       python setup.py bdist_wheel

.ci/pytorch/common_utils.sh

@@ -178,7 +178,7 @@ 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 r2.3 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)"

.circleci/scripts/binary_populate_env.sh

@@ -78,7 +78,7 @@ TRITON_VERSION=$(cat $PYTORCH_ROOT/.ci/docker/triton_version.txt)
 if [[ "$PACKAGE_TYPE" =~ .*wheel.* &&  -n "${PYTORCH_EXTRA_INSTALL_REQUIREMENTS:-}" ]]; then
   # Only linux Python < 3.12 are supported wheels for triton
   TRITON_CONSTRAINT="platform_system == 'Linux' and platform_machine == 'x86_64' and python_version < '3.12'"
-  TRITON_REQUIREMENT="triton==${TRITON_VERSION}; ${TRITON_CONSTRAINT}"
+  TRITON_REQUIREMENT="pytorch-triton==${TRITON_VERSION}; ${TRITON_CONSTRAINT}"
   if [[ -n "$PYTORCH_BUILD_VERSION" && "$PYTORCH_BUILD_VERSION" =~ .*dev.* ]]; then
       TRITON_SHORTHASH=$(cut -c1-10 $PYTORCH_ROOT/.ci/docker/ci_commit_pins/triton.txt)
       TRITON_REQUIREMENT="pytorch-triton==${TRITON_VERSION}+${TRITON_SHORTHASH}; ${TRITON_CONSTRAINT}"

.github/ci_commit_pins/xla.txt

@@ -1 +1 @@
-707a632930bfde19ffb361cdf5c31a7682af4e67
+r2.3

.github/requirements/pip-requirements-macOS.txt

@@ -27,3 +27,6 @@ rockset==1.0.3
 z3-solver==4.12.2.0
 tensorboard==2.13.0
 optree==0.9.1
+# NB: test_hparams_* from test_tensorboard is failing with protobuf 5.26.0 in
+# which the stringify metadata is wrong when escaping double quote
+protobuf==3.20.2

.github/scripts/build_triton_wheel.py

@@ -10,9 +10,6 @@ from typing import Optional
 SCRIPT_DIR = Path(__file__).parent
 REPO_DIR = SCRIPT_DIR.parent.parent
 
-# TODO: Remove me once Triton version is again in sync for vanilla and ROCm
-ROCM_TRITION_VERSION = "2.1.0"
-
 
 def read_triton_pin(rocm_hash: bool = False) -> str:
     triton_file = "triton.txt" if not rocm_hash else "triton-rocm.txt"
@@ -99,7 +96,14 @@ def build_triton(
             triton_repo = "https://github.com/openai/triton"
             triton_pkg_name = "pytorch-triton"
         check_call(["git", "clone", triton_repo], cwd=tmpdir)
-        check_call(["git", "checkout", commit_hash], cwd=triton_basedir)
+        if release:
+            ver, rev, patch = version.split(".")
+            check_call(
+                ["git", "checkout", f"release/{ver}.{rev}.x"], cwd=triton_basedir
+            )
+        else:
+            check_call(["git", "checkout", commit_hash], cwd=triton_basedir)
+
         if build_conda:
             with open(triton_basedir / "meta.yaml", "w") as meta:
                 print(
@@ -109,7 +113,7 @@ def build_triton(
                 print("source:\n  path: .\n", file=meta)
                 print(
                     "build:\n  string: py{{py}}\n  number: 1\n  script: cd python; "
-                    "python setup.py install --record=record.txt\n",
+                    "python setup.py install --single-version-externally-managed --record=record.txt\n",
                     " script_env:\n   - MAX_JOBS\n",
                     file=meta,
                 )
@@ -155,7 +159,7 @@ def build_triton(
         patch_init_py(
             triton_pythondir / "triton" / "__init__.py",
             version=f"{version}",
-            expected_version=ROCM_TRITION_VERSION if build_rocm else None,
+            expected_version=None,
         )
 
         if build_rocm:
@@ -164,7 +168,7 @@ def build_triton(
                 triton_pythondir / "setup.py",
                 name=triton_pkg_name,
                 version=f"{version}",
-                expected_version=ROCM_TRITION_VERSION,
+                expected_version=None,
             )
             check_call("scripts/amd/setup_rocm_libs.sh", cwd=triton_basedir, shell=True)
             print("ROCm libraries setup for triton installation...")

.github/scripts/filter_test_configs.py

@@ -62,9 +62,9 @@ SUPPORTED_PERIODICAL_MODES: Dict[str, Callable[[Optional[str]], bool]] = {
 }
 
 # The link to the published list of disabled jobs
-DISABLED_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/disabled-jobs.json"
+DISABLED_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/disabled-jobs.json?versionId=qO7aEr.Og33PtLXfNq0j0yj.bbLC7SzR"
 # and unstable jobs
-UNSTABLE_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/unstable-jobs.json"
+UNSTABLE_JOBS_URL = "https://ossci-metrics.s3.amazonaws.com/unstable-jobs.json?versionId=7NhgpqKTtGXVUnL1C79KboTW_5qQx8y5"
 
 # Some constants used to handle disabled and unstable jobs
 JOB_NAME_SEP = "/"

.github/templates/common.yml.j2

@@ -8,7 +8,7 @@
 # NOTE: If testing pytorch/builder changes you can change this variable to change what pytorch/builder reference
 #       the binary builds will check out
 {%- set builder_repo = "pytorch/builder" -%}
-{%- set builder_branch = "main" -%}
+{%- set builder_branch = "release/2.3" -%}
 
 {%- macro concurrency(build_environment) -%}
 concurrency:

.github/templates/linux_binary_build_workflow.yml.j2

@@ -100,8 +100,8 @@ jobs:
         with:
           name: !{{ config["build_name"] }}
           path: "${{ runner.temp }}/artifacts/"
-      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
-      !{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch, checkout_pr_head=False) }}
       - name: ROCm set GPU_FLAG
         run: |
           echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd --device=/dev/dri --group-add video --group-add daemon" >> "${GITHUB_ENV}"

.github/templates/macos_binary_build_workflow.yml.j2

@@ -81,8 +81,8 @@ jobs:
           elif [ -d "/Applications/Xcode_13.3.1.app" ]; then
             echo "DEVELOPER_DIR=/Applications/Xcode_13.3.1.app/Contents/Developer" >> "${GITHUB_ENV}"
           fi
-      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
-      !{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch, checkout_pr_head=False) }}
       - name: Install sccache (only for non-forked PRs, and pushes to trunk)
         uses: nick-fields/retry@v2.8.2
         if: ${{ github.event_name == 'push' || github.event.pull_request.head.repo.full_name == github.repository }}

.github/templates/windows_binary_build_workflow.yml.j2

@@ -65,8 +65,8 @@ jobs:
     steps:
       !{{ common.setup_ec2_windows() }}
       !{{ set_runner_specific_vars() }}
-      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
-      !{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch, checkout_pr_head=False) }}
       - name: Populate binary env
         shell: bash
         run: |
@@ -105,8 +105,8 @@ jobs:
         with:
           name: !{{ config["build_name"] }}
           path: "${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
-      !{{ common.checkout(deep_clone=False, directory="pytorch") }}
-      !{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch) }}
+      !{{ common.checkout(deep_clone=False, directory="pytorch", checkout_pr_head=False) }}
+      !{{ common.checkout(deep_clone=False, directory="builder", repository=common.builder_repo, branch=common.builder_branch, checkout_pr_head=False) }}
       - name: Populate binary env
         shell: bash
         run: |

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

@@ -37,7 +37,7 @@ jobs:
       keep-going: ${{ steps.filter.outputs.keep-going }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: false
@@ -59,25 +59,25 @@ jobs:
     runs-on: ${{ matrix.runner }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ inputs.docker-image-name }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
@@ -141,5 +141,5 @@ jobs:
         if: always()
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()

.github/workflows/_android-full-build-test.yml

@@ -37,7 +37,7 @@ jobs:
       keep-going: ${{ steps.filter.outputs.keep-going }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: false
@@ -59,25 +59,25 @@ jobs:
     runs-on: ${{ matrix.runner }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ inputs.docker-image-name }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
@@ -186,5 +186,5 @@ jobs:
         if: always()
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()

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

@@ -42,7 +42,7 @@ jobs:
       reenabled-issues: ${{ steps.filter.outputs.reenabled-issues }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: false
@@ -64,30 +64,30 @@ jobs:
     runs-on: ${{ matrix.runner }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ inputs.docker-image-name }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
       - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
-        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
+        uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.3
         if: ${{ inputs.cuda-version != 'cpu' }}
 
       - name: Output disk space left
@@ -196,5 +196,5 @@ jobs:
           file-suffix: bazel-${{ github.job }}_${{ steps.get-job-id.outputs.job-id }}
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()

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

@@ -78,7 +78,7 @@ on:
 jobs:
   build:
     runs-on: ${{ inputs.runs_on }}
-    timeout-minutes: 180
+    timeout-minutes: 210
     env:
       PYTORCH_ROOT: ${{ inputs.PYTORCH_ROOT }}
       BUILDER_ROOT: ${{ inputs.BUILDER_ROOT }}
@@ -139,13 +139,13 @@ jobs:
         run: env
 
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         continue-on-error: true
         with:
           github-secret: ${{ secrets.github-token }}
 
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' }}
 
@@ -173,7 +173,6 @@ jobs:
       - name: Checkout PyTorch to pytorch dir
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -187,7 +186,7 @@ jobs:
       - name: Checkout pytorch/builder to builder dir
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -213,7 +212,7 @@ jobs:
 
       - name: Pull Docker image
         if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' }}
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ inputs.DOCKER_IMAGE }}
 
@@ -270,7 +269,7 @@ jobs:
 
       - name: Teardown Linux
         if: always()
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
 
       - name: Chown workspace
         if: always()

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

@@ -127,14 +127,14 @@ jobs:
           } >> "${GITHUB_ENV} }}"
 
       - name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         continue-on-error: true
         with:
           github-secret: ${{ secrets.github-token }}
 
         # Setup the environment
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' }}
 
@@ -155,7 +155,6 @@ jobs:
       - name: Checkout PyTorch to pytorch dir
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
 
@@ -168,7 +167,7 @@ jobs:
       - name: Checkout pytorch/builder to builder dir
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -199,12 +198,12 @@ jobs:
           path: "${{ runner.temp }}/artifacts/"
 
       - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
-        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
+        uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.3
         if: ${{ inputs.GPU_ARCH_TYPE == 'cuda' && steps.filter.outputs.is-test-matrix-empty == 'False' }}
 
       - name: Pull Docker image
         if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' }}
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ inputs.DOCKER_IMAGE }}
 
@@ -214,7 +213,7 @@ jobs:
 
       - name: Teardown Linux
         if: always()
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
 
       - name: Chown workspace
         if: always()

.github/workflows/_binary-upload.yml

@@ -95,7 +95,7 @@ jobs:
       SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           no-sudo: true
 

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

@@ -23,7 +23,7 @@ jobs:
       keep-going: ${{ steps.filter.outputs.keep-going }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: false
@@ -44,7 +44,7 @@ jobs:
     runs-on: ${{ matrix.runner }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Set up JDK 8
         uses: actions/setup-java@v3
@@ -53,7 +53,7 @@ jobs:
           distribution: 'temurin'
 
       - name: Setup miniconda
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
         with:
           python-version: 3.8
           environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}

.github/workflows/_docs.yml

@@ -66,7 +66,7 @@ jobs:
     name: build-docs-${{ matrix.docs_type }}-${{ inputs.push }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
           instructions: |
@@ -77,19 +77,19 @@ jobs:
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ inputs.docker-image }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
@@ -187,5 +187,5 @@ jobs:
           s3-prefix: pytorch/pytorch/${{ github.event.pull_request.number }}/functorchdocs
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()

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

@@ -46,7 +46,7 @@ jobs:
       keep-going: ${{ steps.filter.outputs.keep-going }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: false
@@ -80,7 +80,7 @@ jobs:
     steps:
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Populate CI build options
         shell: bash
@@ -102,7 +102,7 @@ jobs:
             brew install libtool
 
       - name: Setup miniconda for iOS
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
         with:
           python-version: "3.9"
           environment-file: .github/requirements/conda-env-iOS.txt

.github/workflows/_linux-build.yml

@@ -73,7 +73,7 @@ jobs:
       test-matrix: ${{ steps.filter.outputs.test-matrix }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
 
@@ -82,14 +82,14 @@ jobs:
       # checkout because when we run this action we don't *have* a local
       # checkout. In other cases you should prefer a local checkout.
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ inputs.docker-image-name }}
 
@@ -103,7 +103,7 @@ jobs:
           echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
@@ -209,5 +209,5 @@ jobs:
           path: sccache-stats-*.json
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()

.github/workflows/_linux-test.yml

@@ -57,7 +57,7 @@ jobs:
     timeout-minutes: ${{ matrix.mem_leak_check == 'mem_leak_check' && 600 || inputs.timeout-minutes }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         if: ${{ !contains(matrix.runner, 'gcp.a100') }}
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
@@ -66,14 +66,14 @@ jobs:
               docker exec -it $(docker container ps --format '{{.ID}}') bash
 
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ inputs.docker-image }}
 
@@ -87,13 +87,13 @@ jobs:
           echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
       - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
         id: install-nvidia-driver
-        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
+        uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.3
         if: contains(inputs.build-environment, 'cuda') && !contains(matrix.config, 'nogpu')
 
       - name: Lock NVIDIA A100 40GB Frequency
@@ -307,7 +307,7 @@ jobs:
           path: ./**/core.[1-9]*
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()
 
       # NB: We are currently having an intermittent GPU-related issue on G5 runners with

.github/workflows/_mac-build.yml

@@ -71,11 +71,11 @@ jobs:
       test-matrix: ${{ steps.filter.outputs.test-matrix }}
     steps:
       - name: Clean up disk space before running MacOS workflow
-        uses: pytorch/test-infra/.github/actions/check-disk-space@main
+        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Set xcode version
         env:
@@ -87,7 +87,7 @@ jobs:
 
       - name: Setup miniconda
         if: inputs.environment-file == ''
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
         with:
           python-version: ${{ inputs.python-version }}
           environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@@ -97,7 +97,7 @@ jobs:
       # environment even though the arch is x86-64
       - name: Setup miniconda using the provided environment file
         if: inputs.environment-file != ''
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
         with:
           python-version: ${{ inputs.python-version }}
           environment-file: ${{ inputs.environment-file }}
@@ -207,4 +207,4 @@ jobs:
       - name: Clean up disk space
         if: always()
         continue-on-error: true
-        uses: pytorch/test-infra/.github/actions/check-disk-space@main
+        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3

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

@@ -40,7 +40,7 @@ jobs:
       reenabled-issues: ${{ steps.filter.outputs.reenabled-issues }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
 
@@ -81,7 +81,7 @@ jobs:
           use-gha: true
 
       - name: Setup miniconda
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
         with:
           python-version: ${{ inputs.python-version }}
           environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@@ -159,4 +159,4 @@ jobs:
       - name: Clean up disk space
         if: always()
         continue-on-error: true
-        uses: pytorch/test-infra/.github/actions/check-disk-space@main
+        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3

.github/workflows/_mac-test.yml

@@ -79,11 +79,11 @@ jobs:
           done
 
       - name: Clean up disk space before running MacOS workflow
-        uses: pytorch/test-infra/.github/actions/check-disk-space@main
+        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Download build artifacts
         uses: ./.github/actions/download-build-artifacts
@@ -98,7 +98,7 @@ jobs:
           use-gha: true
 
       - name: Setup miniconda
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
         with:
           python-version: ${{ inputs.python-version }}
           environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}
@@ -227,4 +227,4 @@ jobs:
       - name: Clean up disk space
         if: always()
         continue-on-error: true
-        uses: pytorch/test-infra/.github/actions/check-disk-space@main
+        uses: pytorch/test-infra/.github/actions/check-disk-space@release/2.3

.github/workflows/_rocm-test.yml

@@ -58,7 +58,7 @@ jobs:
     steps:
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           no-sudo: true
 
@@ -80,12 +80,12 @@ jobs:
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ inputs.docker-image }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 

.github/workflows/_run_android_tests.yml

@@ -23,7 +23,7 @@ jobs:
       keep-going: ${{ steps.filter.outputs.keep-going }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: false
@@ -54,10 +54,10 @@ jobs:
       SUPPORT_ABI: '${{ matrix.support_abi }}'
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup miniconda
-        uses: pytorch/test-infra/.github/actions/setup-miniconda@main
+        uses: pytorch/test-infra/.github/actions/setup-miniconda@release/2.3
         with:
           python-version: 3.8
           environment-file: .github/requirements/conda-env-${{ runner.os }}-${{ runner.arch }}.txt

.github/workflows/_win-build.yml

@@ -60,10 +60,10 @@ jobs:
           git config --global core.fsmonitor false
 
       - name: Clean up leftover processes on non-ephemeral Windows runner
-        uses: pytorch/test-infra/.github/actions/cleanup-runner@main
+        uses: pytorch/test-infra/.github/actions/cleanup-runner@release/2.3
 
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
           instructions: |
@@ -78,7 +78,7 @@ jobs:
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           no-sudo: true
 

.github/workflows/_win-test.yml

@@ -54,10 +54,10 @@ jobs:
           git config --global core.fsmonitor false
 
       - name: Clean up leftover processes on non-ephemeral Windows runner
-        uses: pytorch/test-infra/.github/actions/cleanup-runner@main
+        uses: pytorch/test-infra/.github/actions/cleanup-runner@release/2.3
 
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
           instructions: |
@@ -73,7 +73,7 @@ jobs:
 
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           no-sudo: true
 

.github/workflows/_xpu-test.yml

@@ -54,7 +54,7 @@ jobs:
     steps:
       # [see note: pytorch repo ref]
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup XPU
         uses: ./.github/actions/setup-xpu
@@ -72,12 +72,12 @@ jobs:
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ inputs.docker-image }}
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 

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

@@ -3,7 +3,7 @@ name: Build Triton wheels
 on:
   push:
     branches:
-      - main
+      - release/2.3
     tags:
       # NOTE: Binary build pipelines should only get triggered on release candidate builds
       # Release candidate tags look like: v1.11.0-rc1
@@ -47,12 +47,12 @@ jobs:
       BUILD_DEVICE: ${{ matrix.device }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
 
@@ -60,7 +60,7 @@ jobs:
         uses: ./.github/actions/setup-linux
 
       - name: Pull Docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ env.DOCKER_IMAGE }}
 
@@ -125,7 +125,7 @@ jobs:
           path: ${{ runner.temp }}/artifacts/*
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()
 
   upload-wheel:
@@ -203,12 +203,12 @@ jobs:
       PY_VERS: ${{ matrix.py_vers }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
 
@@ -216,7 +216,7 @@ jobs:
         uses: ./.github/actions/setup-linux
 
       - name: Pull Docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ env.DOCKER_IMAGE }}
 
@@ -252,7 +252,7 @@ jobs:
           path: ${{ runner.temp }}/artifacts/*
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()
 
   upload-conda:

.github/workflows/check-labels.yml

@@ -31,7 +31,7 @@ jobs:
     runs-on: linux.20_04.4x
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
           fetch-depth: 1

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

@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Run close_nonexistent_disable_issues.py
         env:

.github/workflows/docker-builds.yml

@@ -74,21 +74,21 @@ jobs:
       # [see note: pytorch repo ref]
       # deep clone (fetch-depth 0) required for git merge-base
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - name: Setup Linux
         uses: ./.github/actions/setup-linux
 
       - name: Build docker image
         id: build-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: ${{ matrix.docker-image-name }}
           always-rebuild: true
           push: true
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.build-docker-image.outputs.docker-image }}
 
@@ -120,5 +120,5 @@ jobs:
         if: always()
 
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()

.github/workflows/docker-release.yml

@@ -40,7 +40,7 @@ jobs:
       matrix: ${{ steps.generate-matrix.outputs.matrix }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: true
@@ -68,7 +68,7 @@ jobs:
       CUDNN_VERSION: ${{ matrix.cudnn_version }}
     steps:
       - name: Setup SSH (Click me for login details)
-        uses: pytorch/test-infra/.github/actions/setup-ssh@main
+        uses: pytorch/test-infra/.github/actions/setup-ssh@release/2.3
         with:
           github-secret: ${{ secrets.GITHUB_TOKEN }}
       # [see note: pytorch repo ref]
@@ -141,5 +141,5 @@ jobs:
                  ghcr.io/pytorch/pytorch-nightly:latest
           docker push ghcr.io/pytorch/pytorch-nightly:latest
       - name: Teardown Linux
-        uses: pytorch/test-infra/.github/actions/teardown-linux@main
+        uses: pytorch/test-infra/.github/actions/teardown-linux@release/2.3
         if: always()

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

@@ -48,7 +48,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.8"
       runs_on: linux.arm64.2xlarge
       ALPINE_IMAGE: "arm64v8/alpine"
@@ -69,7 +69,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
@@ -91,7 +91,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cpu-aarch64
     secrets:
@@ -111,7 +111,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.9"
       runs_on: linux.arm64.2xlarge
       ALPINE_IMAGE: "arm64v8/alpine"
@@ -132,7 +132,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
@@ -154,7 +154,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu-aarch64
     secrets:
@@ -174,7 +174,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.10"
       runs_on: linux.arm64.2xlarge
       ALPINE_IMAGE: "arm64v8/alpine"
@@ -195,7 +195,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
@@ -217,7 +217,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu-aarch64
     secrets:
@@ -237,7 +237,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.11"
       runs_on: linux.arm64.2xlarge
       ALPINE_IMAGE: "arm64v8/alpine"
@@ -258,7 +258,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
@@ -280,7 +280,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu-aarch64
     secrets:
@@ -300,7 +300,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.12"
       runs_on: linux.arm64.2xlarge
       ALPINE_IMAGE: "arm64v8/alpine"
@@ -321,7 +321,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu-aarch64
       build_environment: linux-aarch64-binary-manywheel
@@ -343,7 +343,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu-aarch64
-      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-main
+      DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cpu-aarch64-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu-aarch64
     secrets:

.github/workflows/generated-linux-binary-conda-nightly.yml

@@ -48,7 +48,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.8"
       build_name: conda-py3_8-cpu
       build_environment: linux-binary-conda
@@ -66,7 +66,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.8"
       build_name: conda-py3_8-cpu
       build_environment: linux-binary-conda
@@ -87,7 +87,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.8"
       build_name: conda-py3_8-cpu
     secrets:
@@ -108,7 +108,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.8"
       runs_on: linux.24xlarge
       build_name: conda-py3_8-cuda11_8
@@ -128,7 +128,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.8"
       build_name: conda-py3_8-cuda11_8
       build_environment: linux-binary-conda
@@ -150,7 +150,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.8"
       build_name: conda-py3_8-cuda11_8
     secrets:
@@ -171,7 +171,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.8"
       runs_on: linux.24xlarge
       build_name: conda-py3_8-cuda12_1
@@ -191,7 +191,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.8"
       build_name: conda-py3_8-cuda12_1
       build_environment: linux-binary-conda
@@ -213,7 +213,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.8"
       build_name: conda-py3_8-cuda12_1
     secrets:
@@ -233,7 +233,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.9"
       build_name: conda-py3_9-cpu
       build_environment: linux-binary-conda
@@ -251,7 +251,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.9"
       build_name: conda-py3_9-cpu
       build_environment: linux-binary-conda
@@ -272,7 +272,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.9"
       build_name: conda-py3_9-cpu
     secrets:
@@ -293,7 +293,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.9"
       runs_on: linux.24xlarge
       build_name: conda-py3_9-cuda11_8
@@ -313,7 +313,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.9"
       build_name: conda-py3_9-cuda11_8
       build_environment: linux-binary-conda
@@ -335,7 +335,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.9"
       build_name: conda-py3_9-cuda11_8
     secrets:
@@ -356,7 +356,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.9"
       runs_on: linux.24xlarge
       build_name: conda-py3_9-cuda12_1
@@ -376,7 +376,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.9"
       build_name: conda-py3_9-cuda12_1
       build_environment: linux-binary-conda
@@ -398,7 +398,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.9"
       build_name: conda-py3_9-cuda12_1
     secrets:
@@ -418,7 +418,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.10"
       build_name: conda-py3_10-cpu
       build_environment: linux-binary-conda
@@ -436,7 +436,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.10"
       build_name: conda-py3_10-cpu
       build_environment: linux-binary-conda
@@ -457,7 +457,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.10"
       build_name: conda-py3_10-cpu
     secrets:
@@ -478,7 +478,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.10"
       runs_on: linux.24xlarge
       build_name: conda-py3_10-cuda11_8
@@ -498,7 +498,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.10"
       build_name: conda-py3_10-cuda11_8
       build_environment: linux-binary-conda
@@ -520,7 +520,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.10"
       build_name: conda-py3_10-cuda11_8
     secrets:
@@ -541,7 +541,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.10"
       runs_on: linux.24xlarge
       build_name: conda-py3_10-cuda12_1
@@ -561,7 +561,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.10"
       build_name: conda-py3_10-cuda12_1
       build_environment: linux-binary-conda
@@ -583,7 +583,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.10"
       build_name: conda-py3_10-cuda12_1
     secrets:
@@ -603,7 +603,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.11"
       build_name: conda-py3_11-cpu
       build_environment: linux-binary-conda
@@ -621,7 +621,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.11"
       build_name: conda-py3_11-cpu
       build_environment: linux-binary-conda
@@ -642,7 +642,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.11"
       build_name: conda-py3_11-cpu
     secrets:
@@ -663,7 +663,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.11"
       runs_on: linux.24xlarge
       build_name: conda-py3_11-cuda11_8
@@ -683,7 +683,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.11"
       build_name: conda-py3_11-cuda11_8
       build_environment: linux-binary-conda
@@ -705,7 +705,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.11"
       build_name: conda-py3_11-cuda11_8
     secrets:
@@ -726,7 +726,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.11"
       runs_on: linux.24xlarge
       build_name: conda-py3_11-cuda12_1
@@ -746,7 +746,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.11"
       build_name: conda-py3_11-cuda12_1
       build_environment: linux-binary-conda
@@ -768,7 +768,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.11"
       build_name: conda-py3_11-cuda12_1
     secrets:
@@ -788,7 +788,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.12"
       build_name: conda-py3_12-cpu
       build_environment: linux-binary-conda
@@ -806,7 +806,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.12"
       build_name: conda-py3_12-cpu
       build_environment: linux-binary-conda
@@ -827,7 +827,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.12"
       build_name: conda-py3_12-cpu
     secrets:
@@ -848,7 +848,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.12"
       runs_on: linux.24xlarge
       build_name: conda-py3_12-cuda11_8
@@ -868,7 +868,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.12"
       build_name: conda-py3_12-cuda11_8
       build_environment: linux-binary-conda
@@ -890,7 +890,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.12"
       build_name: conda-py3_12-cuda11_8
     secrets:
@@ -911,7 +911,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.12"
       runs_on: linux.24xlarge
       build_name: conda-py3_12-cuda12_1
@@ -931,7 +931,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.12"
       build_name: conda-py3_12-cuda12_1
       build_environment: linux-binary-conda
@@ -953,7 +953,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/conda-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.12"
       build_name: conda-py3_12-cuda12_1
     secrets:

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

@@ -43,7 +43,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi
@@ -62,7 +62,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi

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

@@ -48,7 +48,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi
@@ -67,7 +67,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi
@@ -89,7 +89,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi
@@ -111,7 +111,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda11_8-shared-with-deps-cxx11-abi
@@ -131,7 +131,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda11_8-shared-with-deps-cxx11-abi
@@ -154,7 +154,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda11.8-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda11_8-shared-with-deps-cxx11-abi
@@ -176,7 +176,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.1-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda12_1-shared-with-deps-cxx11-abi
@@ -196,7 +196,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.1-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda12_1-shared-with-deps-cxx11-abi
@@ -219,7 +219,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cuda12.1-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cuda12_1-shared-with-deps-cxx11-abi
@@ -241,7 +241,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm5.7-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-rocm5_7-shared-with-deps-cxx11-abi
@@ -263,7 +263,7 @@ jobs:
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm5.7-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
     steps:
@@ -277,7 +277,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -289,7 +288,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -305,7 +304,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/libtorch-cxx11-builder:rocm5.7-main
+          docker-image: pytorch/libtorch-cxx11-builder:rocm5.7-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -325,7 +324,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm5.7-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-rocm5_7-shared-with-deps-cxx11-abi
@@ -347,7 +346,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.0-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-rocm6_0-shared-with-deps-cxx11-abi
@@ -369,7 +368,7 @@ jobs:
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.0-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
     steps:
@@ -383,7 +382,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -395,7 +393,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -411,7 +409,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/libtorch-cxx11-builder:rocm6.0-main
+          docker-image: pytorch/libtorch-cxx11-builder:rocm6.0-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -431,7 +429,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:rocm6.0-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-rocm6_0-shared-with-deps-cxx11-abi

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

@@ -43,7 +43,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cpu-shared-with-deps-pre-cxx11
@@ -62,7 +62,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cpu-shared-with-deps-pre-cxx11

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

@@ -48,7 +48,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cpu-shared-with-deps-pre-cxx11
@@ -67,7 +67,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cpu-shared-with-deps-pre-cxx11
@@ -89,7 +89,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cpu-shared-with-deps-pre-cxx11
@@ -111,7 +111,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cuda11_8-shared-with-deps-pre-cxx11
@@ -131,7 +131,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cuda11_8-shared-with-deps-pre-cxx11
@@ -154,7 +154,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cuda11_8-shared-with-deps-pre-cxx11
@@ -176,7 +176,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cuda12_1-shared-with-deps-pre-cxx11
@@ -196,7 +196,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cuda12_1-shared-with-deps-pre-cxx11
@@ -219,7 +219,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-cuda12_1-shared-with-deps-pre-cxx11
@@ -241,7 +241,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-rocm5_7-shared-with-deps-pre-cxx11
@@ -263,7 +263,7 @@ jobs:
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
     steps:
@@ -277,7 +277,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -289,7 +288,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -305,7 +304,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm5.7-main
+          docker-image: pytorch/manylinux-builder:rocm5.7-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -325,7 +324,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-rocm5_7-shared-with-deps-pre-cxx11
@@ -347,7 +346,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-rocm6_0-shared-with-deps-pre-cxx11
@@ -369,7 +368,7 @@ jobs:
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
     steps:
@@ -383,7 +382,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -395,7 +393,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -411,7 +409,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm6.0-main
+          docker-image: pytorch/manylinux-builder:rocm6.0-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -431,7 +429,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: pre-cxx11
       build_name: libtorch-rocm6_0-shared-with-deps-pre-cxx11

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

@@ -44,7 +44,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda11_8
       build_environment: linux-binary-manywheel
@@ -64,7 +64,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda11_8
       build_environment: linux-binary-manywheel
@@ -84,7 +84,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda12_1
       build_environment: linux-binary-manywheel
@@ -104,7 +104,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda12_1
       build_environment: linux-binary-manywheel

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

@@ -48,7 +48,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cpu
       build_environment: linux-binary-manywheel
@@ -66,7 +66,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cpu
       build_environment: linux-binary-manywheel
@@ -87,7 +87,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cpu
     secrets:
@@ -107,7 +107,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cpu-cxx11-abi
@@ -126,7 +126,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cpu-cxx11-abi
@@ -148,7 +148,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cpu-cxx11-abi
@@ -170,7 +170,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda11_8
       build_environment: linux-binary-manywheel
@@ -190,7 +190,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda11_8
       build_environment: linux-binary-manywheel
@@ -212,7 +212,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda11_8
     secrets:
@@ -233,7 +233,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda12_1
       build_environment: linux-binary-manywheel
@@ -253,7 +253,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda12_1
       build_environment: linux-binary-manywheel
@@ -275,7 +275,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-cuda12_1
     secrets:
@@ -296,7 +296,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-rocm5_7
       build_environment: linux-binary-manywheel
@@ -317,7 +317,7 @@ jobs:
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.8"
     steps:
       - name: Setup ROCm
@@ -330,7 +330,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -342,7 +341,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -358,7 +357,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm5.7-main
+          docker-image: pytorch/manylinux-builder:rocm5.7-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -378,7 +377,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-rocm5_7
     secrets:
@@ -399,7 +398,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-rocm6_0
       build_environment: linux-binary-manywheel
@@ -420,7 +419,7 @@ jobs:
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.8"
     steps:
       - name: Setup ROCm
@@ -433,7 +432,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -445,7 +443,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -461,7 +459,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm6.0-main
+          docker-image: pytorch/manylinux-builder:rocm6.0-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -481,7 +479,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.8"
       build_name: manywheel-py3_8-rocm6_0
     secrets:
@@ -501,7 +499,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu
       build_environment: linux-binary-manywheel
@@ -519,7 +517,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu
       build_environment: linux-binary-manywheel
@@ -540,7 +538,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu
     secrets:
@@ -560,7 +558,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu-cxx11-abi
@@ -579,7 +577,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu-cxx11-abi
@@ -601,7 +599,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cpu-cxx11-abi
@@ -623,7 +621,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cuda11_8
       build_environment: linux-binary-manywheel
@@ -643,7 +641,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cuda11_8
       build_environment: linux-binary-manywheel
@@ -665,7 +663,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cuda11_8
     secrets:
@@ -686,7 +684,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cuda12_1
       build_environment: linux-binary-manywheel
@@ -706,7 +704,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cuda12_1
       build_environment: linux-binary-manywheel
@@ -728,7 +726,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-cuda12_1
     secrets:
@@ -749,7 +747,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-rocm5_7
       build_environment: linux-binary-manywheel
@@ -770,7 +768,7 @@ jobs:
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.9"
     steps:
       - name: Setup ROCm
@@ -783,7 +781,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -795,7 +792,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -811,7 +808,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm5.7-main
+          docker-image: pytorch/manylinux-builder:rocm5.7-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -831,7 +828,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-rocm5_7
     secrets:
@@ -852,7 +849,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-rocm6_0
       build_environment: linux-binary-manywheel
@@ -873,7 +870,7 @@ jobs:
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.9"
     steps:
       - name: Setup ROCm
@@ -886,7 +883,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -898,7 +894,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -914,7 +910,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm6.0-main
+          docker-image: pytorch/manylinux-builder:rocm6.0-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -934,7 +930,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.9"
       build_name: manywheel-py3_9-rocm6_0
     secrets:
@@ -954,7 +950,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu
       build_environment: linux-binary-manywheel
@@ -972,7 +968,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu
       build_environment: linux-binary-manywheel
@@ -993,7 +989,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu
     secrets:
@@ -1013,7 +1009,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu-cxx11-abi
@@ -1032,7 +1028,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu-cxx11-abi
@@ -1054,7 +1050,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cpu-cxx11-abi
@@ -1076,7 +1072,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cuda11_8
       build_environment: linux-binary-manywheel
@@ -1096,7 +1092,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cuda11_8
       build_environment: linux-binary-manywheel
@@ -1118,7 +1114,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cuda11_8
     secrets:
@@ -1139,7 +1135,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cuda12_1
       build_environment: linux-binary-manywheel
@@ -1159,7 +1155,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cuda12_1
       build_environment: linux-binary-manywheel
@@ -1181,7 +1177,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-cuda12_1
     secrets:
@@ -1202,7 +1198,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-rocm5_7
       build_environment: linux-binary-manywheel
@@ -1223,7 +1219,7 @@ jobs:
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.10"
     steps:
       - name: Setup ROCm
@@ -1236,7 +1232,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1248,7 +1243,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1264,7 +1259,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm5.7-main
+          docker-image: pytorch/manylinux-builder:rocm5.7-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -1284,7 +1279,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-rocm5_7
     secrets:
@@ -1305,7 +1300,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-rocm6_0
       build_environment: linux-binary-manywheel
@@ -1326,7 +1321,7 @@ jobs:
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.10"
     steps:
       - name: Setup ROCm
@@ -1339,7 +1334,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1351,7 +1345,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1367,7 +1361,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm6.0-main
+          docker-image: pytorch/manylinux-builder:rocm6.0-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -1387,7 +1381,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.10"
       build_name: manywheel-py3_10-rocm6_0
     secrets:
@@ -1407,7 +1401,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu
       build_environment: linux-binary-manywheel
@@ -1425,7 +1419,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu
       build_environment: linux-binary-manywheel
@@ -1446,7 +1440,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu
     secrets:
@@ -1466,7 +1460,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu-cxx11-abi
@@ -1485,7 +1479,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu-cxx11-abi
@@ -1507,7 +1501,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cpu-cxx11-abi
@@ -1529,7 +1523,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cuda11_8
       build_environment: linux-binary-manywheel
@@ -1549,7 +1543,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cuda11_8
       build_environment: linux-binary-manywheel
@@ -1571,7 +1565,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cuda11_8
     secrets:
@@ -1592,7 +1586,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cuda12_1
       build_environment: linux-binary-manywheel
@@ -1612,7 +1606,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cuda12_1
       build_environment: linux-binary-manywheel
@@ -1634,7 +1628,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-cuda12_1
     secrets:
@@ -1655,7 +1649,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-rocm5_7
       build_environment: linux-binary-manywheel
@@ -1676,7 +1670,7 @@ jobs:
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.11"
     steps:
       - name: Setup ROCm
@@ -1689,7 +1683,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1701,7 +1694,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1717,7 +1710,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm5.7-main
+          docker-image: pytorch/manylinux-builder:rocm5.7-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -1737,7 +1730,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-rocm5_7
     secrets:
@@ -1758,7 +1751,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-rocm6_0
       build_environment: linux-binary-manywheel
@@ -1779,7 +1772,7 @@ jobs:
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.11"
     steps:
       - name: Setup ROCm
@@ -1792,7 +1785,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1804,7 +1796,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1820,7 +1812,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm6.0-main
+          docker-image: pytorch/manylinux-builder:rocm6.0-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -1840,7 +1832,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.11"
       build_name: manywheel-py3_11-rocm6_0
     secrets:
@@ -1860,7 +1852,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu
       build_environment: linux-binary-manywheel
@@ -1878,7 +1870,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu
       build_environment: linux-binary-manywheel
@@ -1899,7 +1891,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu
     secrets:
@@ -1919,7 +1911,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu-cxx11-abi
@@ -1938,7 +1930,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu-cxx11-abi
@@ -1960,7 +1952,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu-cxx11-abi
       GPU_ARCH_TYPE: cpu-cxx11-abi
-      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-main
+      DOCKER_IMAGE: pytorch/manylinuxcxx11-abi-builder:cpu-cxx11-abi-2.3
       DESIRED_DEVTOOLSET: cxx11-abi
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cpu-cxx11-abi
@@ -1982,7 +1974,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cuda11_8
       build_environment: linux-binary-manywheel
@@ -2002,7 +1994,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cuda11_8
       build_environment: linux-binary-manywheel
@@ -2024,7 +2016,7 @@ jobs:
       DESIRED_CUDA: cu118
       GPU_ARCH_VERSION: 11.8
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cuda11_8
     secrets:
@@ -2045,7 +2037,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cuda12_1
       build_environment: linux-binary-manywheel
@@ -2065,7 +2057,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cuda12_1
       build_environment: linux-binary-manywheel
@@ -2087,7 +2079,7 @@ jobs:
       DESIRED_CUDA: cu121
       GPU_ARCH_VERSION: 12.1
       GPU_ARCH_TYPE: cuda
-      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-cuda12_1
     secrets:
@@ -2108,7 +2100,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-rocm5_7
       build_environment: linux-binary-manywheel
@@ -2129,7 +2121,7 @@ jobs:
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.12"
     steps:
       - name: Setup ROCm
@@ -2142,7 +2134,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2154,7 +2145,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2170,7 +2161,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm5.7-main
+          docker-image: pytorch/manylinux-builder:rocm5.7-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -2190,7 +2181,7 @@ jobs:
       DESIRED_CUDA: rocm5.7
       GPU_ARCH_VERSION: 5.7
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm5.7-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-rocm5_7
     secrets:
@@ -2211,7 +2202,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-rocm6_0
       build_environment: linux-binary-manywheel
@@ -2232,7 +2223,7 @@ jobs:
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
       SKIP_ALL_TESTS: 1
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.12"
     steps:
       - name: Setup ROCm
@@ -2245,7 +2236,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2257,7 +2247,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2273,7 +2263,7 @@ jobs:
       - name: Pull Docker image
         uses: pytorch/test-infra/.github/actions/pull-docker-image@main
         with:
-          docker-image: pytorch/manylinux-builder:rocm6.0-main
+          docker-image: pytorch/manylinux-builder:rocm6.0-2.3
       - name: Test Pytorch binary
         uses: ./pytorch/.github/actions/test-pytorch-binary
       - name: Teardown ROCm
@@ -2293,7 +2283,7 @@ jobs:
       DESIRED_CUDA: rocm6.0
       GPU_ARCH_VERSION: 6.0
       GPU_ARCH_TYPE: rocm
-      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:rocm6.0-2.3
       DESIRED_PYTHON: "3.12"
       build_name: manywheel-py3_12-rocm6_0
     secrets:

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

@@ -77,7 +77,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -89,7 +88,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -141,7 +140,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.8"
       build_name: conda-py3_8-cpu
       use_s3: False
@@ -195,7 +194,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -207,7 +205,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -259,7 +257,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.9"
       build_name: conda-py3_9-cpu
       use_s3: False
@@ -313,7 +311,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -325,7 +322,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -377,7 +374,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.10"
       build_name: conda-py3_10-cpu
       use_s3: False
@@ -431,7 +428,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -443,7 +439,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -495,7 +491,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.11"
       build_name: conda-py3_11-cpu
       use_s3: False
@@ -549,7 +545,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -561,7 +556,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -613,7 +608,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/conda-builder:cpu-main
+      DOCKER_IMAGE: pytorch/conda-builder:cpu-2.3
       DESIRED_PYTHON: "3.12"
       build_name: conda-py3_12-cpu
       use_s3: False

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

@@ -81,7 +81,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -93,7 +92,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -145,7 +144,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-main
+      DOCKER_IMAGE: pytorch/libtorch-cxx11-builder:cpu-2.3
       LIBTORCH_VARIANT: shared-with-deps
       DESIRED_DEVTOOLSET: cxx11-abi
       build_name: libtorch-cpu-shared-with-deps-cxx11-abi

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

@@ -78,7 +78,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -90,7 +89,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -142,7 +141,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.8"
       build_name: wheel-py3_8-cpu
       use_s3: False
@@ -197,7 +196,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -209,7 +207,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -261,7 +259,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.9"
       build_name: wheel-py3_9-cpu
       use_s3: False
@@ -316,7 +314,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -328,7 +325,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -380,7 +377,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.10"
       build_name: wheel-py3_10-cpu
       use_s3: False
@@ -435,7 +432,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -447,7 +443,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -499,7 +495,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.11"
       build_name: wheel-py3_11-cpu
       use_s3: False
@@ -554,7 +550,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -566,7 +561,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -618,7 +613,7 @@ jobs:
       #       favor of GPU_ARCH_VERSION
       DESIRED_CUDA: cpu
       GPU_ARCH_TYPE: cpu
-      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-main
+      DOCKER_IMAGE: pytorch/manylinux-builder:cpu-2.3
       DESIRED_PYTHON: "3.12"
       build_name: wheel-py3_12-cpu
       use_s3: False

.github/workflows/generated-windows-binary-conda-nightly.yml

@@ -93,7 +93,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -105,7 +104,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -210,7 +209,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -222,7 +220,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -336,7 +334,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -348,7 +345,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -454,7 +451,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -466,7 +462,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -581,7 +577,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -593,7 +588,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -699,7 +694,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -711,7 +705,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -825,7 +819,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -837,7 +830,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -942,7 +935,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -954,7 +946,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1068,7 +1060,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1080,7 +1071,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1186,7 +1177,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1198,7 +1188,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1313,7 +1303,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1325,7 +1314,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1431,7 +1420,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1443,7 +1431,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1557,7 +1545,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1569,7 +1556,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1674,7 +1661,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1686,7 +1672,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1800,7 +1786,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1812,7 +1797,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1918,7 +1903,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1930,7 +1914,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2045,7 +2029,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2057,7 +2040,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2163,7 +2146,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2175,7 +2157,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2289,7 +2271,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2301,7 +2282,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2406,7 +2387,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2418,7 +2398,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2532,7 +2512,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2544,7 +2523,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2650,7 +2629,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2662,7 +2640,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2777,7 +2755,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2789,7 +2766,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2895,7 +2872,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2907,7 +2883,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3021,7 +2997,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3033,7 +3008,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3138,7 +3113,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3150,7 +3124,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3264,7 +3238,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3276,7 +3249,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3382,7 +3355,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3394,7 +3366,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3509,7 +3481,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3521,7 +3492,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3627,7 +3598,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3639,7 +3609,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder

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

@@ -90,7 +90,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -102,7 +101,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -211,7 +210,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -223,7 +221,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder

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

@@ -97,7 +97,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -109,7 +108,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -218,7 +217,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -230,7 +228,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -352,7 +350,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -364,7 +361,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -474,7 +471,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -486,7 +482,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -609,7 +605,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -621,7 +616,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -731,7 +726,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -743,7 +737,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder

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

@@ -90,7 +90,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -102,7 +101,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -211,7 +210,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -223,7 +221,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder

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

@@ -97,7 +97,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -109,7 +108,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -218,7 +217,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -230,7 +228,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -352,7 +350,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -364,7 +361,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -474,7 +471,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -486,7 +482,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -609,7 +605,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -621,7 +616,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -731,7 +726,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -743,7 +737,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder

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

@@ -94,7 +94,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -106,7 +105,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -211,7 +210,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -223,7 +221,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -338,7 +336,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -350,7 +347,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -456,7 +453,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -468,7 +464,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -584,7 +580,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -596,7 +591,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -702,7 +697,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -714,7 +708,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -829,7 +823,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -841,7 +834,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -946,7 +939,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -958,7 +950,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1073,7 +1065,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1085,7 +1076,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1191,7 +1182,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1203,7 +1193,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1319,7 +1309,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1331,7 +1320,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1437,7 +1426,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1449,7 +1437,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1564,7 +1552,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1576,7 +1563,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1681,7 +1668,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1693,7 +1679,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1808,7 +1794,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1820,7 +1805,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -1926,7 +1911,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -1938,7 +1922,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2054,7 +2038,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2066,7 +2049,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2172,7 +2155,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2184,7 +2166,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2299,7 +2281,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2311,7 +2292,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2416,7 +2397,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2428,7 +2408,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2543,7 +2523,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2555,7 +2534,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2661,7 +2640,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2673,7 +2651,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2789,7 +2767,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2801,7 +2778,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -2907,7 +2884,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -2919,7 +2895,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3034,7 +3010,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3046,7 +3021,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3151,7 +3126,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3163,7 +3137,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3278,7 +3252,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3290,7 +3263,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3396,7 +3369,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3408,7 +3380,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3524,7 +3496,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3536,7 +3507,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder
@@ -3642,7 +3613,6 @@ jobs:
       - name: Checkout PyTorch
         uses: malfet/checkout@silent-checkout
         with:
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
           submodules: recursive
           path: pytorch
           quiet-checkout: true
@@ -3654,7 +3624,7 @@ jobs:
       - name: Checkout pytorch/builder
         uses: malfet/checkout@silent-checkout
         with:
-          ref: main
+          ref: release/2.3
           submodules: recursive
           repository: pytorch/builder
           path: builder

.github/workflows/inductor.yml

@@ -111,7 +111,7 @@ jobs:
     name: linux-jammy-cpu-py3.8-gcc11-inductor
     uses: ./.github/workflows/_linux-build.yml
     with:
-      build-environment: linux-jammy-py3_8-gcc11-build
+      build-environment: linux-jammy-py3.8-gcc11-build
       docker-image-name: pytorch-linux-jammy-py3.8-gcc11-inductor-benchmarks
       test-matrix: |
         { include: [
@@ -135,7 +135,7 @@ jobs:
     uses: ./.github/workflows/_linux-test.yml
     needs: linux-jammy-cpu-py3_8-gcc11-inductor-build
     with:
-      build-environment: linux-jammy-py3_8-gcc11-build
+      build-environment: linux-jammy-py3.8-gcc11-build
       docker-image: ${{ needs.linux-jammy-cpu-py3_8-gcc11-inductor-build.outputs.docker-image }}
       test-matrix: ${{ needs.linux-jammy-cpu-py3_8-gcc11-inductor-build.outputs.test-matrix }}
     secrets:

.github/workflows/lint-bc.yml

@@ -15,7 +15,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Run BC Lint Action
-        uses: pytorch/test-infra/.github/actions/bc-lint@main
+        uses: pytorch/test-infra/.github/actions/bc-lint@release/2.3
         with:
           repo: ${{ github.event.pull_request.head.repo.full_name }}
           base_sha: ${{ github.event.pull_request.base.sha }}

.github/workflows/lint.yml

@@ -16,7 +16,7 @@ permissions: read-all
 # When any other step fails, it's job will be retried once by retryBot.
 jobs:
   lintrunner-clang:
-    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.3
     with:
       timeout: 120
       runner: linux.2xlarge
@@ -32,7 +32,7 @@ jobs:
         .github/scripts/lintrunner.sh
 
   lintrunner-noclang:
-    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.3
     with:
       timeout: 120
       runner: linux.2xlarge
@@ -47,7 +47,7 @@ jobs:
         .github/scripts/lintrunner.sh
 
   quick-checks:
-    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.3
     with:
       runner: linux.2xlarge
       docker-image: pytorch-linux-focal-linter
@@ -88,7 +88,7 @@ jobs:
     if: github.event_name == 'pull_request' && !contains(github.event.pull_request.labels.*.name, 'skip-pr-sanity-checks')
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
           fetch-depth: -1
@@ -101,7 +101,7 @@ jobs:
           bash .github/scripts/pr-sanity-check.sh
 
   workflow-checks:
-    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.3
     with:
       runner: linux.2xlarge
       docker-image: pytorch-linux-focal-linter
@@ -113,6 +113,7 @@ jobs:
         CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
         conda activate "${CONDA_ENV}"
 
+        export RELEASE_VERSION_TAG="2.3"
         # Regenerate workflows
         .github/scripts/generate_ci_workflows.py
 
@@ -137,7 +138,7 @@ jobs:
         exit $RC
 
   toc:
-    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.3
     with:
       runner: linux.2xlarge
       docker-image: pytorch-linux-focal-linter
@@ -175,7 +176,7 @@ jobs:
   test-tools:
     name: Test tools
     if: ${{ github.repository == 'pytorch/pytorch' }}
-    uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.3
     with:
       runner: linux.2xlarge
       docker-image: pytorch-linux-focal-linter
@@ -196,7 +197,7 @@ jobs:
     runs-on: linux.20_04.4x
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
           fetch-depth: 1
@@ -226,7 +227,7 @@ jobs:
       # [see note: pytorch repo ref]
       # deep clone (fetch-depth 0) required, to allow us to use git log
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
           fetch-depth: 1

.github/workflows/nightly-rockset-uploads.yml

@@ -21,7 +21,7 @@ jobs:
     environment: upload-stats
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: false

.github/workflows/nightly.yml

@@ -41,7 +41,7 @@ jobs:
     environment: update-commit-hash
     steps:
       - name: update-vision-commit-hash
-        uses: pytorch/test-infra/.github/actions/update-commit-hash@main
+        uses: pytorch/test-infra/.github/actions/update-commit-hash@release/2.3
         if: ${{ github.event_name == 'schedule' }}
         with:
           repo-name: vision
@@ -56,7 +56,7 @@ jobs:
     environment: update-commit-hash
     steps:
       - name: update-audio-commit-hash
-        uses: pytorch/test-infra/.github/actions/update-commit-hash@main
+        uses: pytorch/test-infra/.github/actions/update-commit-hash@release/2.3
         if: ${{ github.event_name == 'schedule' }}
         with:
           repo-name: audio
@@ -71,7 +71,7 @@ jobs:
     environment: update-commit-hash
     steps:
       - name: update-executorch-commit-hash
-        uses: pytorch/test-infra/.github/actions/update-commit-hash@main
+        uses: pytorch/test-infra/.github/actions/update-commit-hash@release/2.3
         if: ${{ github.event_name == 'schedule' }}
         with:
           repo-name: executorch

.github/workflows/pull.yml

@@ -311,7 +311,7 @@ jobs:
     name: linux-focal-py3_8-clang9-xla
     uses: ./.github/workflows/_linux-build.yml
     with:
-      build-environment: linux-focal-py3_8-clang9-xla
+      build-environment: linux-focal-py3.8-clang9-xla
       docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/xla_base:v1.1-lite
       test-matrix: |
         { include: [
@@ -323,7 +323,7 @@ jobs:
     uses: ./.github/workflows/_linux-test.yml
     needs: linux-focal-py3_8-clang9-xla-build
     with:
-      build-environment: linux-focal-py3_8-clang9-xla
+      build-environment: linux-focal-py3.8-clang9-xla
       docker-image: ${{ needs.linux-focal-py3_8-clang9-xla-build.outputs.docker-image }}
       test-matrix: ${{ needs.linux-focal-py3_8-clang9-xla-build.outputs.test-matrix }}
 

.github/workflows/target-determination-indexer.yml

@@ -18,7 +18,7 @@ jobs:
 
       - name: Calculate docker image
         id: calculate-docker-image
-        uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
+        uses: pytorch/test-infra/.github/actions/calculate-docker-image@release/2.3
         with:
           docker-image-name: pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9
 
@@ -32,13 +32,13 @@ jobs:
           echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
 
       - name: Pull docker image
-        uses: pytorch/test-infra/.github/actions/pull-docker-image@main
+        uses: pytorch/test-infra/.github/actions/pull-docker-image@release/2.3
         with:
           docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
 
       - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
         id: install-nvidia-driver
-        uses: pytorch/test-infra/.github/actions/setup-nvidia@main
+        uses: pytorch/test-infra/.github/actions/setup-nvidia@release/2.3
 
       - name: Clone PyTorch
         uses: actions/checkout@v3

.github/workflows/target_determination.yml

@@ -14,7 +14,7 @@ jobs:
       # checkout because when we run this action we don't *have* a local
       # checkout. In other cases you should prefer a local checkout.
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
 

.github/workflows/update-viablestrict.yml

@@ -16,7 +16,7 @@ jobs:
     environment: ${{ (github.event_name == 'schedule') && 'mergebot' || '' }}
     steps:
       - name: Update viable/strict
-        uses: pytorch/test-infra/.github/actions/update-viablestrict@main
+        uses: pytorch/test-infra/.github/actions/update-viablestrict@release/2.3
         with:
           repository: pytorch/pytorch
           stable-branch: viable/strict

.github/workflows/update_pytorch_labels.yml

@@ -17,7 +17,7 @@ jobs:
       contents: read
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           fetch-depth: 1
           submodules: false

.github/workflows/upload-alerts.yml

@@ -44,7 +44,7 @@ jobs:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
           AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-        uses: pytorch/test-infra/.github/actions/upload-alerts@main
+        uses: pytorch/test-infra/.github/actions/upload-alerts@release/2.3
         with:
           alerts: '${{ steps.alert_creation_step.outputs.script-output }}'
           organization: "pytorch"

.github/workflows/upload-test-stats.yml

@@ -39,7 +39,7 @@ jobs:
         run: echo "${TRIGGERING_WORKFLOW}"
 
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
 
       - uses: actions/setup-python@v4
         with:

.github/workflows/upload-torch-dynamo-perf-stats.yml

@@ -29,7 +29,7 @@ jobs:
     name: Upload dynamo performance stats for ${{ github.event.workflow_run.id }}, attempt ${{ github.event.workflow_run.run_attempt }}
     steps:
       - name: Checkout PyTorch
-        uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
+        uses: pytorch/pytorch/.github/actions/checkout-pytorch@release/2.3
         with:
           submodules: false
           fetch-depth: 1

.github/workflows/weekly.yml

@@ -21,7 +21,7 @@ jobs:
           fetch-depth: 0
       - name: update-xla-commit-hash
         continue-on-error: true
-        uses: pytorch/test-infra/.github/actions/update-commit-hash@main
+        uses: pytorch/test-infra/.github/actions/update-commit-hash@release/2.3
         with:
           repo-name: xla
           branch: master
@@ -30,7 +30,7 @@ jobs:
           updatebot-token: ${{ secrets.UPDATEBOT_TOKEN }}
           pytorchbot-token: ${{ secrets.GH_PYTORCHBOT_TOKEN }}
       - name: update-triton-commit-hash
-        uses: pytorch/test-infra/.github/actions/update-commit-hash@main
+        uses: pytorch/test-infra/.github/actions/update-commit-hash@release/2.3
         with:
           repo-owner: openai
           repo-name: triton

aten/src/ATen/DLConvertor.h

@@ -13,6 +13,10 @@ namespace at {
 TORCH_API ScalarType toScalarType(const DLDataType& dtype);
 TORCH_API DLManagedTensor* toDLPack(const Tensor& src);
 TORCH_API Tensor fromDLPack(DLManagedTensor* src);
+C10_DEPRECATED_MESSAGE("Please migrate to a non-const variant")
+inline Tensor fromDLPack(const DLManagedTensor* src) {
+  return fromDLPack(const_cast<DLManagedTensor*>(src));
+}
 TORCH_API Tensor
 fromDLPack(DLManagedTensor* src, std::function<void(void*)> deleter);
 TORCH_API DLDataType getDLDataType(const Tensor& t);

aten/src/ATen/FunctionalInverses.cpp

@@ -303,6 +303,29 @@ Tensor FunctionalInverses::_nested_view_from_buffer_inverse(const Tensor& base,
     return Tensor();
 }
 
+Tensor FunctionalInverses::_nested_view_from_jagged_inverse(const Tensor& base, const Tensor& mutated_view, InverseReturnMode inverse_return_mode, const Tensor& offsets, const Tensor& dummy, const std::optional<Tensor>& lengths, int64_t ragged_idx) {
+  auto values = at::_nested_get_values(mutated_view);
+  if (inverse_return_mode != InverseReturnMode::NeverView) {
+    return values;
+  } else {
+    return values.clone(/*memory_format=*/at::MemoryFormat::Contiguous);
+  }
+}
+
+Tensor FunctionalInverses::_nested_get_values_inverse(const Tensor& base, const Tensor& mutated_view, InverseReturnMode inverse_return_mode) {
+  auto offsets = at::_nested_get_offsets(base);
+  auto lengths = at::_nested_get_lengths(base);
+  auto ragged_idx = at::_nested_get_ragged_idx(base);
+  auto dummy = at::_nested_get_jagged_dummy(base);
+  auto nt = at::_nested_view_from_jagged(mutated_view, offsets, dummy, lengths, ragged_idx);
+
+  if (inverse_return_mode != InverseReturnMode::NeverView) {
+    return nt;
+  } else {
+    return nt.clone(/*memory_format=*/at::MemoryFormat::Contiguous);
+  }
+}
+
 Tensor FunctionalInverses::unsqueeze_inverse(const Tensor& base, const Tensor& mutated_view, InverseReturnMode inverse_return_mode, int64_t dim) {
     if (inverse_return_mode != InverseReturnMode::NeverView) {
       return at::squeeze(mutated_view, dim);

aten/src/ATen/native/mps/OperationUtils.mm

@@ -210,6 +210,9 @@ std::string scalarToMetalTypeString(const c10::ScalarType& scalar_type) {
       return "float";
     case ScalarType::Half:
       return "half";
+    case ScalarType::BFloat16:
+      checkSupportsBFloat16();
+      return "bfloat";
     case ScalarType::Int:
       return "int";
     case ScalarType::Long:

aten/src/ATen/native/mps/operations/ConstantOps.mm

@@ -28,6 +28,7 @@ static Tensor& fill_scalar_mps_impl(Tensor& self, const Scalar& value) {
 
   struct CachedGraph : public MPSCachedGraph {
     CachedGraph(MPSGraph* graph) : MPSCachedGraph(graph) {}
+    MPSGraphTensor* inputTensor_ = nil;
     MPSGraphTensor* outputTensor_ = nil;
   };
 
@@ -35,36 +36,23 @@ static Tensor& fill_scalar_mps_impl(Tensor& self, const Scalar& value) {
     string key = "fill_scalar_mps_impl" + getTensorsStringKey(self) + ":" + to_string(value.toDouble());
 
     auto cachedGraph = LookUpOrCreateCachedGraph<CachedGraph>(key, [&](auto mpsGraph, auto newCachedGraph) {
-      auto isBool = self.scalar_type() == c10::ScalarType::Bool;
-      auto isUInt8 = self.scalar_type() == c10::ScalarType::Byte;
-      auto dataType = !isUInt8 ? !isBool ? getMPSScalarType(self.scalar_type()) : MPSDataTypeInt8 : MPSDataTypeUInt32;
-      // constantWithScalar does not work for boolTypes on MacOS-12.[34]
-      // workaround by filing it as int8 tensor and than casting to bool
-      // See https://github.com/pytorch/pytorch/issues/82427
-      // constantWithScalar does not work for UInt8 Types on MacOS-12.[34]/Ventura preview
-      // workaround by filing it as uint32 tensor and than casting to uint8
-      // See https://github.com/pytorch/pytorch/issues/83692
-      MPSGraphTensor* inputTensor = [mpsGraph constantWithScalar:value.toDouble()
-                                                           shape:getMPSShape(self)
-                                                        dataType:dataType];
+      MPSGraphTensor* inputTensor = mpsGraphScalarPlaceHolder(mpsGraph, getMPSDataType(self.scalar_type()));
       MPSGraphTensor* outputTensor = [mpsGraph identityWithTensor:inputTensor name:nil];
-      if (isBool) {
-        outputTensor = [mpsGraph castTensor:outputTensor toType:MPSDataTypeBool name:@"constWithBool-workaround"];
-      }
-      if (isUInt8) {
-        outputTensor = [mpsGraph castTensor:outputTensor toType:MPSDataTypeUInt8 name:@"constWithUInt8-workaround"];
-      }
-
+      newCachedGraph->inputTensor_ = inputTensor;
       newCachedGraph->outputTensor_ = outputTensor;
     });
 
+    auto mpsScalar = getMPSScalar(value, self.scalar_type());
+    auto mpsScalarData = getMPSGraphTensorFromScalar(getCurrentMPSStream(), mpsScalar);
+    NSDictionary<MPSGraphTensor*, MPSGraphTensorData*>* feeds = @{cachedGraph->inputTensor_ : mpsScalarData};
+
     Placeholder outputPlaceholder =
         Placeholder(cachedGraph->outputTensor_, needsCopyToOutput ? output : self, nullptr, !needsCopyToOutput);
 
     NSDictionary<MPSGraphTensor*, MPSGraphTensorData*>* results =
         @{outputPlaceholder.getMPSGraphTensor() : outputPlaceholder.getMPSGraphTensorData()};
 
-    runMPSGraph(getCurrentMPSStream(), cachedGraph->graph(), /*feeds*/ nil, results);
+    runMPSGraph(getCurrentMPSStream(), cachedGraph->graph(), feeds, results);
 
     if (needsCopyToOutput) {
       self.copy_(output);

aten/src/ATen/native/mps/operations/LinearAlgebra.mm

@@ -4,6 +4,8 @@
 #include <ATen/mps/MPSProfiler.h>
 #include <ATen/native/LinearAlgebraUtils.h>
 #include <ATen/native/Resize.h>
+// For MTLLanguageVersion_3_1
+#include <ATen/native/mps/MPSGraphSonomaOps.h>
 #include <ATen/native/mps/OperationUtils.h>
 
 #ifndef AT_PER_OPERATOR_HEADERS
@@ -29,7 +31,7 @@ static const char* METAL_LINALG = R"MATMUL_METAL(
 using namespace metal;
 template<typename T>
 T dot_product(constant T *v1, constant T* v2, ulong2 strides, uint32_t size) {
-  T rc = 0.0;
+  T rc = T(0.0);
   for (uint32_t i = 0; i < size; ++i) {
     rc += v1[i * strides.x] * v2[i * strides.y];
   }
@@ -69,6 +71,9 @@ kernel void naive_matmul<DTYPE>(                                           \
 
 INSTANTIATE_NAIVE_MM(float);
 INSTANTIATE_NAIVE_MM(half);
+#if __METAL_VERSION__ >= 310
+INSTANTIATE_NAIVE_MM(bfloat);
+#endif
 )MATMUL_METAL";
 
 id<MTLLibrary> compileLinalgOpLibrary(id<MTLDevice> device) {
@@ -79,7 +84,8 @@ id<MTLLibrary> compileLinalgOpLibrary(id<MTLDevice> device) {
 
   NSError* error = nil;
   MTLCompileOptions* options = [[MTLCompileOptions new] autorelease];
-  [options setLanguageVersion:MTLLanguageVersion2_3];
+  [options setLanguageVersion:is_macos_13_or_newer(MacOSVersion::MACOS_VER_14_0_PLUS) ? MTLLanguageVersion3_1
+                                                                                      : MTLLanguageVersion2_3];
   linalgLibrary = [device newLibraryWithSource:[NSString stringWithCString:METAL_LINALG encoding:NSASCIIStringEncoding]
                                        options:options
                                          error:&error];

aten/src/ATen/native/mps/operations/TensorCompare.mm

@@ -30,41 +30,53 @@ static void clamp_mps_graph(CachedGraph* cachedGraph,
                             const Tensor& min_tensor,
                             const Tensor& max_tensor) {
   auto input_dtype = input_tensor.scalar_type();
-  auto min_dtype = input_dtype;
-  auto max_dtype = input_dtype;
-  if (cachedGraph->minTensor) {
-    min_dtype = min_tensor.scalar_type();
-  }
-  if (cachedGraph->maxTensor) {
-    max_dtype = max_tensor.scalar_type();
-  }
+  auto min_dtype = cachedGraph->minTensor ? min_tensor.scalar_type() : input_dtype;
+  auto max_dtype = cachedGraph->maxTensor ? max_tensor.scalar_type() : input_dtype;
 
   MPSGraph* mpsGraph = cachedGraph->graph();
 
   cachedGraph->inputTensor = mpsGraphRankedPlaceHolder(mpsGraph, input_tensor);
 
-  MPSGraphTensor* minTensor = cachedGraph->minTensor;
-  MPSGraphTensor* maxTensor = cachedGraph->maxTensor;
+  auto minTensor = cachedGraph->minTensor;
+  auto maxTensor = cachedGraph->maxTensor;
+
   if (input_dtype != min_dtype) {
     minTensor = castMPSTensor(mpsGraph, cachedGraph->minTensor, input_dtype);
   }
   if (input_dtype != max_dtype) {
     maxTensor = castMPSTensor(mpsGraph, cachedGraph->maxTensor, input_dtype);
   }
-  if (cachedGraph->minTensor && cachedGraph->maxTensor) {
-    cachedGraph->outputTensor = [mpsGraph clampWithTensor:cachedGraph->inputTensor
-                                           minValueTensor:minTensor
-                                           maxValueTensor:maxTensor
-                                                     name:nil];
-  } else if (cachedGraph->maxTensor) {
-    cachedGraph->outputTensor = [mpsGraph minimumWithPrimaryTensor:cachedGraph->inputTensor
-                                                   secondaryTensor:maxTensor
-                                                              name:nil];
-  } else if (cachedGraph->minTensor) {
-    cachedGraph->outputTensor = [mpsGraph maximumWithPrimaryTensor:cachedGraph->inputTensor
-                                                   secondaryTensor:minTensor
-                                                              name:nil];
+  if (c10::isIntegralType(input_dtype, /*includeBool=*/true)) {
+    if (minTensor && maxTensor) {
+      cachedGraph->outputTensor = [mpsGraph clampWithTensor:cachedGraph->inputTensor
+                                             minValueTensor:minTensor
+                                             maxValueTensor:maxTensor
+                                                       name:nil];
+    } else if (maxTensor) {
+      cachedGraph->outputTensor = [mpsGraph minimumWithPrimaryTensor:cachedGraph->inputTensor
+                                                     secondaryTensor:maxTensor
+                                                                name:nil];
+    } else if (minTensor) {
+      cachedGraph->outputTensor = [mpsGraph maximumWithPrimaryTensor:cachedGraph->inputTensor
+                                                     secondaryTensor:minTensor
+                                                                name:nil];
+    }
+    return;
   }
+  // clampWithTensor doesn't propagate NaN through so simulate it as composition of
+  // maximumWithNaNPropagationWithPrimaryTensor and minimumWithNaNPropagationWithPrimaryTensor
+  auto outputTensor = cachedGraph->inputTensor;
+  if (minTensor) {
+    outputTensor = [mpsGraph maximumWithNaNPropagationWithPrimaryTensor:outputTensor
+                                                        secondaryTensor:minTensor
+                                                                   name:nil];
+  }
+  if (maxTensor) {
+    outputTensor = [mpsGraph minimumWithNaNPropagationWithPrimaryTensor:outputTensor
+                                                        secondaryTensor:maxTensor
+                                                                   name:nil];
+  }
+  cachedGraph->outputTensor = outputTensor;
 }
 
 static void check_min_max_dims(const OptionalTensorRef clamp_opt, const Tensor& input_t, string op_name) {

aten/src/ATen/native/native_functions.yaml

@@ -6154,6 +6154,52 @@
     CompositeExplicitAutogradNonFunctional: _nested_view_from_buffer_copy
   autogen: _nested_view_from_buffer_copy.out
 
+- func: _nested_view_from_jagged(Tensor(a) self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1) -> Tensor(a)
+  variants: function
+  device_check: NoCheck
+  dispatch: {}
+
+- func: _nested_view_from_jagged_copy(Tensor self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1) -> Tensor
+  variants: function
+  device_check: NoCheck
+  tags: view_copy
+  dispatch:
+    CompositeExplicitAutogradNonFunctional: _nested_view_from_jagged_copy
+  autogen: _nested_view_from_jagged_copy.out
+
+- func: _nested_get_values(Tensor(a) self) -> Tensor(a)
+  variants: function
+  device_check: NoCheck
+  dispatch: {}
+
+- func: _nested_get_values_copy(Tensor self) -> Tensor
+  variants: function
+  device_check: NoCheck
+  tags: view_copy
+  dispatch:
+    CompositeExplicitAutogradNonFunctional: _nested_get_values_copy
+  autogen: _nested_get_values_copy.out
+
+- func: _nested_get_offsets(Tensor self) -> Tensor
+  variants: function
+  device_check: NoCheck
+  dispatch: {}
+
+# returns undefined Tensor if no lengths present
+- func: _nested_get_lengths(Tensor self) -> Tensor
+  variants: function
+  device_check: NoCheck
+  dispatch: {}
+
+- func: _nested_get_ragged_idx(Tensor self) -> int
+  variants: function
+  device_check: NoCheck
+  dispatch: {}
+
+- func: _nested_get_jagged_dummy(Tensor any) -> Tensor
+  category_override: dummy
+  dispatch: {}
+
 - func: _trilinear(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1) -> Tensor
   dispatch:
     # calls unsqueeze

aten/src/ATen/native/transformers/hip/flash_attn/flash_api.hip

@@ -157,43 +157,6 @@ aotriton::TensorView<Rank> mk_aotensor(const at::Tensor& q, c10::string_view ten
                                     cast_dtype(q.dtype()));
 }
 
-template<bool COPY_FROM_INPUT,  // For Input Tensor
-         bool COPY_BACK>        // For Output Tensor
-class TensorStorageSanitizer {
-public:
-  TensorStorageSanitizer(const at::Tensor& ref,
-                         at::Tensor& to_sanitize)
-    : ref_(ref), to_sanitize_(to_sanitize)
-  {
-    need_sanitize = ref_.strides() !=  to_sanitize_.strides();
-    if (!need_sanitize)
-      return;
-
-    temp_ = at::empty_like(ref_);
-    if (COPY_FROM_INPUT) {
-      temp_.copy_(to_sanitize_);
-    }
-  }
-
-  ~TensorStorageSanitizer()
-  {
-    if (need_sanitize && COPY_BACK)
-      to_sanitize_.copy_(temp_);
-  }
-
-  at::Tensor& sanitized_tensor()
-  {
-    if (need_sanitize)
-      return temp_;
-    return to_sanitize_;
-  }
-private:
-  const at::Tensor& ref_;
-  at::Tensor& to_sanitize_;
-  at::Tensor temp_;
-  bool need_sanitize = false;
-};
-
 }
 
 #define CHECK_DEVICE(x) TORCH_CHECK(x.is_cuda(), #x " must be on CUDA")
@@ -531,9 +494,6 @@ mha_bwd(const at::Tensor &dout,  // batch_size x seqlen_q x num_heads, x head_si
   int d_head = head_size_og;
   hipError_t err; // TODO: Error handling
   {
-    TensorStorageSanitizer<true, false> dq_s(q_t, dq_t);
-    TensorStorageSanitizer<true, false> dk_s(k_t, dk_t);
-    TensorStorageSanitizer<true, false> dv_s(v_t, dv_t);
     using aotriton::v2::flash::attn_bwd;
     err = attn_bwd(mk_aotensor(q_t, "q"),
                    mk_aotensor(k_t, "k"),
@@ -541,9 +501,9 @@ mha_bwd(const at::Tensor &dout,  // batch_size x seqlen_q x num_heads, x head_si
                    softmax_scale,
                    mk_aotensor(out_t, "out"),
                    mk_aotensor(dout_t, "dout"),
-                   mk_aotensor(dq_s.sanitized_tensor(), "dq"),
-                   mk_aotensor(dk_s.sanitized_tensor(), "dk"),
-                   mk_aotensor(dv_s.sanitized_tensor(), "dv"),
+                   mk_aotensor(dq_t, "dq"),
+                   mk_aotensor(dk_t, "dk"),
+                   mk_aotensor(dv_t, "dv"),
                    mk_aotensor<2>(softmax_lse_cont, "L"),
                    mk_aotensor<2>(delta, "delta"),
                    p_dropout,

cmake/External/aotriton.cmake

@@ -6,7 +6,7 @@ if(NOT __AOTRITON_INCLUDED)
   set(__AOTRITON_INSTALL_DIR "${PROJECT_SOURCE_DIR}/torch")
   ExternalProject_Add(aotriton_external
     GIT_REPOSITORY https://github.com/ROCm/aotriton.git
-    GIT_TAG 9044fe5eb16130e49a0a1f781ea15037353ad542
+    GIT_TAG 24a3fe9cb57e5cda3c923df29743f9767194cc27
     SOURCE_DIR ${__AOTRITON_SOURCE_DIR}
     BINARY_DIR ${__AOTRITON_BUILD_DIR}
     PREFIX ${__AOTRITON_INSTALL_DIR}

setup.py

@@ -548,7 +548,9 @@ class build_ext(setuptools.command.build_ext.build_ext):
         omp_lib_name = (
             "libomp.dylib" if os.uname().machine == "arm64" else "libiomp5.dylib"
         )
-        if os.path.join("@rpath", omp_lib_name) not in libs:
+        omp_rpath_lib_path = os.path.join("@rpath", omp_lib_name)
+        omp_loader_lib_path = os.path.join("@loader_path", omp_lib_name)
+        if omp_rpath_lib_path not in libs:
             return
 
         # Copy libomp/libiomp5 from rpath locations
@@ -558,6 +560,20 @@ class build_ext(setuptools.command.build_ext.build_ext):
                 continue
             target_lib = os.path.join(self.build_lib, "torch", "lib", omp_lib_name)
             self.copy_file(source_lib, target_lib)
+            # Change OMP library load path to loader_path and delete old rpath
+            # This should prevent delocate from attempting to package another instance
+            # of OpenMP library in torch wheel
+            subprocess.check_call(
+                [
+                    "install_name_tool",
+                    "-change",
+                    omp_rpath_lib_path,
+                    omp_loader_lib_path,
+                    "-delete_rpath",
+                    rpath,
+                    libtorch_cpu_path,
+                ]
+            )
             break
 
         # Copy omp.h from OpenMP_C_FLAGS and copy it into include folder

test/distributed/_tensor/test_api.py

@@ -250,6 +250,44 @@ class DTensorAPITest(DTensorTestBase):
         self.assertIsInstance(local_out, torch.Tensor)
         self.assertNotIsInstance(local_out, DTensor)
 
+    @with_comms
+    def test_distribute_module_casting(self):
+        device_mesh = DeviceMesh(self.device_type, list(range(self.world_size)))
+
+        # check DTensor casting
+        dt = DTensor.from_local(torch.rand(10), device_mesh, [Replicate()])
+        dt = dt.to(torch.bfloat16)
+        self.assertEqual(dt.dtype, torch.bfloat16)
+        self.assertEqual(dt._local_tensor.dtype, torch.bfloat16)
+
+        # check distribute_tensor casting
+        dt = distribute_tensor(torch.rand(10), device_mesh, [Replicate()])
+        dt = dt.to(torch.bfloat16)
+        self.assertEqual(dt.dtype, torch.bfloat16)
+        self.assertEqual(dt._local_tensor.dtype, torch.bfloat16)
+
+        # check distribute_module casting
+        model = MyModel(10, 10, device=self.device_type)
+        replica_model = distribute_module(
+            model,
+            device_mesh,
+        )
+        replica_model = replica_model.to(torch.bfloat16)
+        self.assertEqual(replica_model.seq[0].weight.dtype, torch.bfloat16)
+        self.assertEqual(
+            replica_model.seq[0].weight._local_tensor.dtype, torch.bfloat16
+        )
+
+        # check autocast
+        dt = distribute_tensor(torch.rand(10), device_mesh, [Replicate()])
+        replica_model = distribute_module(
+            model,
+            device_mesh,
+        )
+        with torch.autocast(device_type=self.device_type, dtype=torch.bfloat16):
+            output = replica_model(dt)
+        self.assertEqual(output.dtype, torch.bfloat16)
+
     @with_comms
     def test_distribute_module_meta(self):
         # If  the model is too big, the user may first the create entire model on the meta device and then initialize

test/distributed/test_device_mesh.py

@@ -14,6 +14,7 @@ from torch.distributed._tensor.placement_types import _Partial, Shard
 from torch.distributed.device_mesh import _mesh_resources, DeviceMesh, init_device_mesh
 
 from torch.distributed.distributed_c10d import (
+    _world,
     get_global_rank,
     get_world_size,
     init_process_group,
@@ -28,7 +29,6 @@ from torch.testing._internal.common_utils import (
 )
 from torch.testing._internal.distributed._tensor.common_dtensor import (
     DTensorTestBase,
-    skip_if_lt_x_gpu,
     skip_unless_torch_gpu,
     with_comms,
 )
@@ -79,10 +79,7 @@ class DeviceMeshTest(DTensorTestBase):
 
     @with_comms
     @run_with_both_funcol_impls
-    @skip_unless_torch_gpu
     def test_get_group(self):
-        # TODO: `test_get_group` still periodically timeout on cpu
-        # remove `@skip_unless_torch_gpu` after the problem is fixed.
         mesh_shape = (2, self.world_size // 2)
         mesh_2d = init_device_mesh(
             self.device_type, mesh_shape, mesh_dim_names=("dp", "tp")
@@ -103,10 +100,7 @@ class DeviceMeshTest(DTensorTestBase):
 
     @with_comms
     @run_with_both_funcol_impls
-    @skip_unless_torch_gpu
     def test_get_local_rank_raises_exception(self):
-        # TODO: `test_get_local_rank_raises_exception` still periodically timeout on cpu
-        # remove `@skip_unless_torch_gpu` after the problem is fixed.
         mesh_shape = (2, self.world_size // 2)
         mesh_2d = init_device_mesh(
             self.device_type, mesh_shape, mesh_dim_names=("dp", "tp")
@@ -120,10 +114,7 @@ class DeviceMeshTest(DTensorTestBase):
 
     @with_comms
     @run_with_both_funcol_impls
-    @skip_unless_torch_gpu
     def test_get_local_rank(self):
-        # TODO: `test_get_local_rank_raises_exception` still periodically timeout on cpu
-        # remove `@skip_unless_torch_gpu` after the problem is fixed.
         mesh_shape = (2, self.world_size // 2)
         mesh_2d = init_device_mesh(
             self.device_type, mesh_shape, mesh_dim_names=("dp", "tp")
@@ -276,71 +267,47 @@ class TestDeviceMeshGetItem(DTensorTestBase):
 
     @with_comms
     @run_with_both_funcol_impls
-    def test_raises_invalid_mesh_dim_names(self):
-        error_msg = "Invalid mesh_dim_name"
-        # Case 1: the DeviceMesh does not have a mesh_dim_names attribute
-        with self.assertRaisesRegex(
-            RuntimeError, "Cannot slice a DeviceMesh without mesh_dim_names."
-        ):
+    def test_raises_no_mesh_dim_found(self):
+        with self.assertRaisesRegex(KeyError, "No `mesh_dim_names` found."):
             mesh = init_device_mesh(self.device_type, (2, 4))
             child_mesh = mesh["DP"]
 
-        child_mesh_dim_names = "PP"
-        with self.assertRaisesRegex(ValueError, error_msg):
+    @with_comms
+    @run_with_both_funcol_impls
+    def test_raises_invalid_mesh_dim_name(self):
+        child_mesh_dim_name = "PP"
+        with self.assertRaisesRegex(
+            KeyError, f"Mesh dimension '{child_mesh_dim_name}' does not exist."
+        ):
             mesh_dim_names = ("DP", "TP")
             mesh = init_device_mesh(
                 self.device_type, (2, 4), mesh_dim_names=mesh_dim_names
             )
-            child_mesh = mesh[child_mesh_dim_names]
-
-        # Case 2
-        child_mesh_dim_names = ["PP", "CP"]
-        with self.assertRaisesRegex(ValueError, error_msg):
-            mesh_dim_names = ("DP", "TP")
-            mesh = init_device_mesh(
-                self.device_type, (2, 4), mesh_dim_names=mesh_dim_names
-            )
-            child_mesh = mesh[child_mesh_dim_names]
-
-        # Case 3: a given child_mesh_dim_name is not a contiguous subset of the parent mesh's mesh_dim_names.
-        child_mesh_dim_names = ("TP", "DP")
-        with self.assertRaisesRegex(ValueError, error_msg):
-            mesh_dim_names = ("DP", "TP")
-            mesh = init_device_mesh(
-                self.device_type, (2, 4), mesh_dim_names=mesh_dim_names
-            )
-            child_mesh = mesh[child_mesh_dim_names]
-
-        # Case 3
-        child_mesh_dim_names = ("PP", "TP")
-        with self.assertRaisesRegex(ValueError, error_msg):
-            mesh_dim_names = ("PP", "DP", "TP")
-            mesh = init_device_mesh(
-                self.device_type, (2, 2, 2), mesh_dim_names=mesh_dim_names
-            )
-            child_mesh = mesh[child_mesh_dim_names]
+            child_mesh = mesh[child_mesh_dim_name]
 
     @with_comms
     @run_with_both_funcol_impls
-    @skip_if_lt_x_gpu(8)
-    def test_get_item_2d(self):
-        # TODO: `test_get_item_2d` still periodically timeout on cpu
-        # remove `@skip_if_lt_x_gpu` after the problem is fixed.
+    def test_get_item(self):
         mesh_shape = (2, 4)
         mesh_dim_names = ("DP", "TP")
         mesh_2d = init_device_mesh(
             self.device_type, mesh_shape, mesh_dim_names=mesh_dim_names
         )
 
+        pg_ranks_by_dim_name = {}
+        for mesh_dim_name in mesh_dim_names:
+            mesh_dim = mesh_dim_names.index(mesh_dim_name)
+            pg_ranks_by_dim_name[mesh_dim_name] = mesh_2d.mesh.swapdims(
+                -1, mesh_dim
+            ).reshape(-1, mesh_2d.mesh.size(mesh_dim))
+
         tp_mesh = mesh_2d["TP"]
-        tp_group = [[0, 1, 2, 3], [4, 5, 6, 7]]
         tp_group_idx = self.rank // 4
-        self.assertEqual(tp_mesh.mesh.tolist(), tp_group[tp_group_idx])
+        self.assertEqual(tp_mesh.mesh, pg_ranks_by_dim_name["TP"][tp_group_idx])
 
         dp_mesh = mesh_2d["DP"]
-        dp_group = [[0, 4], [1, 5], [2, 6], [3, 7]]
         dp_group_idx = self.rank % 4
-        self.assertEqual(dp_mesh.mesh.tolist(), dp_group[dp_group_idx])
+        self.assertEqual(mesh_2d["DP"].mesh, pg_ranks_by_dim_name["DP"][dp_group_idx])
 
     @with_comms
     @run_with_both_funcol_impls
@@ -351,50 +318,32 @@ class TestDeviceMeshGetItem(DTensorTestBase):
         dp_mesh = mesh["dp"]
         self.assertEqual(dp_mesh, mesh)
 
-        with self.assertRaisesRegex(ValueError, "Invalid mesh_dim_name"):
+        with self.assertRaisesRegex(RuntimeError, "Invalid mesh_dim_name"):
             dp_mesh = mesh["dim0"]
 
     @with_comms
-    @skip_if_lt_x_gpu(8)
-    def test_get_item_3d(self):
-        # TODO: `test_get_item_3d` still periodically timeout on cpu
-        # remove `@skip_if_lt_x_gpu` after the problem is fixed.
-        mesh_shape = (2, 2, 2)
-        mesh_dim_names = ("Replicate", "Shard", "TP")
-        mesh_3d = init_device_mesh(
-            self.device_type, mesh_shape, mesh_dim_names=mesh_dim_names
-        )
+    @run_with_both_funcol_impls
+    def test_cache_and_reuse_submesh_slice_result(self):
+        mesh = init_device_mesh(self.device_type, (2, 4), mesh_dim_names=("dp", "tp"))
 
-        tp_group = [[0, 1], [2, 3], [4, 5], [6, 7]]
-        tp_group_idx = int(self.rank / 2)
-        self.assertEqual(mesh_3d["TP"].mesh.tolist(), tp_group[tp_group_idx])
+        dp_mesh = mesh["dp"]
+        ref_pg_count = _world.group_count
 
-        shard_group = [[0, 2], [1, 3], [4, 6], [5, 7]]
-        shard_group_idx = self.rank % 2 + self.rank // 4 * 2
-        self.assertEqual(mesh_3d["Shard"].mesh.tolist(), shard_group[shard_group_idx])
+        # When we call the "dp" slice second time, it should not create any new pg.
+        # As we are just using the cached result so the pg count should be the same.
+        dp_mesh_2 = mesh["dp"]
+        self.assertEqual(ref_pg_count, _world.group_count)
 
-        replicate_group = [[0, 4], [1, 5], [2, 6], [3, 7]]
-        replicate_group_idx = self.rank % 4
-        self.assertEqual(
-            mesh_3d["Replicate"].mesh.tolist(), replicate_group[replicate_group_idx]
-        )
-
-        # We support both UX for nD slicing.
-        # mesh_3d[["Replicate", "Shard"]] or mesh_3d["Replicate", "Shard"]
-        hsdp_mesh_1 = mesh_3d[["Replicate", "Shard"]]
-        hsdp_mesh_2 = mesh_3d["Replicate", "Shard"]
-        hsdp_group = [[[0, 2], [4, 6]], [[1, 3], [5, 7]]]
-        hsdp_group_idx = self.rank % 2
-        self.assertEqual(hsdp_mesh_1.mesh.tolist(), hsdp_group[hsdp_group_idx])
-        self.assertEqual(hsdp_mesh_2.mesh.tolist(), hsdp_group[hsdp_group_idx])
-        self.assertEqual(hsdp_mesh_1, hsdp_mesh_2)
+        # When we call the "tp" slice, it should create a new pg, as the "tp" slice is called
+        # for the first time.
+        tp_mesh = mesh["tp"]
+        self.assertTrue(_world.group_count > ref_pg_count)
 
 
 @instantiate_parametrized_tests
 class TestMeshEnv(DTensorTestBase):
     @with_comms
     @run_with_both_funcol_impls
-    @skip_unless_torch_gpu
     def test_get_parent_mesh(self):
         mesh_shape = (2, self.world_size // 2)
         mesh_dim_names = ("DP", "TP")
@@ -415,7 +364,6 @@ class TestMeshEnv(DTensorTestBase):
 
     @with_comms
     @run_with_both_funcol_impls
-    @skip_unless_torch_gpu
     def test_get_parent_mesh_dim_exist(self):
         mesh_shape = (2, self.world_size // 2)
         mesh_dim_names = ("DP", "TP")
@@ -428,7 +376,6 @@ class TestMeshEnv(DTensorTestBase):
 
     @with_comms
     @run_with_both_funcol_impls
-    @skip_unless_torch_gpu
     def test_get_parent_mesh_dim_not_exist(self):
         mesh_shape = (self.world_size,)
         mesh = init_device_mesh(self.device_type, mesh_shape)
@@ -437,7 +384,6 @@ class TestMeshEnv(DTensorTestBase):
 
     @with_comms
     @run_with_both_funcol_impls
-    @skip_unless_torch_gpu
     def test_get_mesh_dim_by_name(self):
         mesh_shape = (2, self.world_size // 2)
         mesh_dim_names = ("DP", "TP")
@@ -555,9 +501,11 @@ class DeviceMeshCollectiveTest(DTensorTestBase):
                 torch.chunk(big_tensor, device_mesh.size(), dim=shard_dim)
             )
             unpadded_list = [
-                shard_placement._unpad_tensor(big_tensor_chunks[i], pad_sizes[i])
-                if pad_sizes[i] > 0
-                else big_tensor_chunks[i]
+                (
+                    shard_placement._unpad_tensor(big_tensor_chunks[i], pad_sizes[i])
+                    if pad_sizes[i] > 0
+                    else big_tensor_chunks[i]
+                )
                 for i, big_tensor in enumerate(big_tensor_chunks)
             ]
             all_gathered_tensor = torch.cat(unpadded_list, dim=shard_dim)

test/dynamo/test_subclasses.py

@@ -19,10 +19,10 @@ from torch.fx.experimental.symbolic_shapes import (
     StatelessSymbolicContext,
 )
 from torch.nested._internal.nested_tensor import (
-    buffer_from_jagged,
     jagged_from_list,
     jagged_from_tensor_and_lengths,
-    ViewBufferFromNested,
+    nested_view_from_values_offsets,
+    NestedTensor,
 )
 from torch.testing._internal.common_utils import (
     instantiate_parametrized_tests,
@@ -1166,19 +1166,20 @@ class TestNestedTensor(torch._dynamo.test_case.TestCase):
         a = torch.randn(2, 3, requires_grad=True, dtype=torch.float64)
         b = torch.randn(3, 3, requires_grad=True, dtype=torch.float64)
         c = torch.randn(4, 3, requires_grad=True, dtype=torch.float64)
-        nt, offsets = jagged_from_list([a, b, c], None)
-        nt2, _ = jagged_from_list([a, b, c], offsets)
+        nt = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
+        # TODO: Switch to public API when it exists
+        nt2, _ = jagged_from_list([a, b, c], nt.offsets())
 
         def fn1(nt1, nt2):
             return (nt1 + nt2).sin().cos()
 
         compiled_f = torch.compile(fn1, fullgraph=True, backend=backend, dynamic=True)
         out = compiled_f(nt, nt2)
-        out_buffer = ViewBufferFromNested.apply(out)
+        out_buffer = out.values()
         ga, gb, gc = torch.autograd.grad(out_buffer.sum(), (a, b, c))
 
         out_ref = fn1(nt, nt2)
-        out_buffer_ref = ViewBufferFromNested.apply(out_ref)
+        out_buffer_ref = out_ref.values()
         ga_ref, gb_ref, gc_ref = torch.autograd.grad(out_buffer_ref.sum(), (a, b, c))
 
         self.assertTrue(torch.allclose(ga, ga_ref))
@@ -1218,10 +1219,10 @@ class TestNestedTensor(torch._dynamo.test_case.TestCase):
         ret = fn_c(nt, y)[0]
         ref = fn(nt_copy, y_copy)[0]
 
-        self.assertEqual(buffer_from_jagged(ret), buffer_from_jagged(ref))
+        self.assertEqual(ret.values(), ref.values())
 
-        buffer_from_jagged(ret).sum().backward()
-        buffer_from_jagged(ref).sum().backward()
+        ret.values().sum().backward()
+        ref.values().sum().backward()
         for ref_v, res_v in zip(values_copy, values):
             self.assertEqual(ref_v.grad, res_v.grad)
 
@@ -1254,83 +1255,112 @@ class TestNestedTensor(torch._dynamo.test_case.TestCase):
         self._check_recompiles(fn, (nt,), (nt3,), True)
 
     def _get_views(self):
-        # There are three cases to consider here based on the logic in
-        # meta_utils.py
-        #
-        # (1) basic case:
-        # view is not a leaf and has the same requires grad as its basic case
-        x, _ = self._get_jagged_tensor(((2, 3, 4), 3), None, requires_grad=True)
-        self.assertEqual(x.is_leaf, False)
-        yield x.unsqueeze(-1)
+        # Test all cases with both an NT base and a dense base
+        # Subclass -> Subclass
+        # Dense -> Subclass
+        for base_is_nt in [False, True]:
+            # There are three cases to consider here based on the logic in
+            # meta_utils.py
+            #
+            # (1) basic case:
+            # view is not a leaf and has the same requires grad as its basic case
+            x, _ = self._get_jagged_tensor(((2, 3, 4), 3), None, requires_grad=True)
+            x = x.clone() if base_is_nt else x
+            self.assertEqual(x.is_leaf, False)
+            yield x.unsqueeze(-1)
 
-        # (2) leaf view case:
-        # the view has to be a leaf (w/ requires_grad True or requires_grad False)
-        # base w/ requires_grad True or requires_grad False
-        for requires_grad_1, requires_grad_2 in itertools.product(
-            [True, False], repeat=2
-        ):
-            x, _ = self._get_jagged_tensor(
-                ((2, 3, 4), 3), None, requires_grad=requires_grad_1
-            )
+            # (2) leaf view case:
+            # the view has to be a leaf (w/ requires_grad True or requires_grad False)
+            # base w/ requires_grad True or requires_grad False
+            for requires_grad_1, requires_grad_2 in itertools.product(
+                [True, False], repeat=2
+            ):
+                x, _ = self._get_jagged_tensor(
+                    ((2, 3, 4), 3), None, requires_grad=requires_grad_1
+                )
+                x = x.clone() if base_is_nt else x
+                with torch.no_grad():
+                    x_view = x.unsqueeze(-1)
+                    # The issue is this doesn't quite work
+                    x_view.requires_grad_(requires_grad_2)
+                yield x_view
+
+            # (3) obscure case:
+            # view is not a leaf (implies requires_grad True)
+            # base w/ requires_grad False)
+            x, _ = self._get_jagged_tensor(((2, 3, 4), 3), None, requires_grad=False)
+            x = x.clone() if base_is_nt else x
+            # intermediate leaf view
             with torch.no_grad():
                 x_view = x.unsqueeze(-1)
-                # The issue is this doesn't quite work
-                x_view.requires_grad_(requires_grad_2)
-            yield x_view
+            x_view.requires_grad_(True)
+            x_view_view = x_view.unsqueeze(-1)
+            yield x_view_view
 
-        # (3) obscure case:
-        # view is not a leaf (implies requires_grad True)
-        # base w/ requires_grad False)
-        x, _ = self._get_jagged_tensor(((2, 3, 4), 3), None, requires_grad=False)
-        # intermediate leaf view
-        with torch.no_grad():
-            x_view = x.unsqueeze(-1)
-        x_view.requires_grad_(True)
-        x_view_view = x_view.unsqueeze(-1)
-        yield x_view_view
+        # Subclass -> Dense
+        x = self._get_jagged_tensor(((2, 3, 4), 3), None, requires_grad=True)[0].clone()
+        yield x.values()
+
+        # Dense -> Subclass -> Dense -> Subclass
+        values = torch.randn(10, 5)
+        offsets = torch.tensor([0, 3, 6, 10])
+        offsets2 = offsets.clone().detach()
+        yield nested_view_from_values_offsets(
+            nested_view_from_values_offsets(values, offsets).values(), offsets
+        )
+
+    def _input_view_test(self, nt_view):
+        def fn(x):
+            return x.sin()
+
+        out_ref = fn(nt_view)
+        torch._dynamo.reset()
+        compile_fn = torch.compile(
+            fn, fullgraph=True, backend="aot_eager", dynamic=True
+        )
+        out = compile_fn(nt_view)
+
+        # Check metadata and values are correct
+        self.assertTrue(out.size() == out_ref.size())
+        self.assertTrue(out.stride() == out_ref.stride())
+        if out.is_nested:
+            self.assertTrue(torch.allclose(out.values(), out_ref.values()))
+        else:
+            self.assertTrue(torch.allclose(out, out_ref))
+
+        # Check that no upper/lower bound guards are incurred
+        def backend(gm, args):
+            context = torch._guards.TracingContext.get()
+            guards = [str(g.expr) for g in context.fake_mode.shape_env.guards]
+
+            # varies based on the type of view
+            guard_str = "\n".join(guards)
+            if isinstance(nt_view._base, NestedTensor):
+                self.assertExpectedInline(guard_str, """Eq(s3 - 1, s0)""")
+            else:
+                self.assertExpectedInline(guard_str, """""")
+            return gm
+
+        torch._dynamo.reset()
+        compile_fn = torch.compile(fn, fullgraph=True, backend=backend, dynamic=True)
+        out = compile_fn(nt_view)
 
     def test_inputs_to_compiled_fn_are_views(self):
         for nt_view in self._get_views():
+            self._input_view_test(nt_view)
 
-            def fn(x):
-                return x.sin()
-
-            out_ref = fn(nt_view)
-            torch._dynamo.reset()
-            compile_fn = torch.compile(
-                fn, fullgraph=True, backend="aot_eager", dynamic=True
-            )
-            out = compile_fn(nt_view)
-
-            # Check metadata and values are correct
-            self.assertTrue(out.size() == out_ref.size())
-            self.assertTrue(out.stride() == out_ref.stride())
-            self.assertTrue(torch.allclose(out.values(), out_ref.values()))
-
-            # Check that no upper/lower bound guards are incurred
-            def backend(gm, args):
-                context = torch._guards.TracingContext.get()
-                guards = [str(g.expr) for g in context.fake_mode.shape_env.guards]
-                ranges = [
-                    f"{s}: [{vr.lower}, {vr.upper}]"
-                    for s, vr in context.fake_mode.shape_env.var_to_range.items()
-                ]
-                self.assertExpectedInline("\n".join(guards), """Eq(s3 - 1, s0)""")
-                self.assertExpectedInline(
-                    "\n".join(ranges),
-                    """\
-s0: [2, 9223372036854775805]
-s2: [2, 9223372036854775806]
-s3: [3, 9223372036854775806]
-s5: [2, 9223372036854775806]""",
-                )
-                return gm
-
-            torch._dynamo.reset()
-            compile_fn = torch.compile(
-                fn, fullgraph=True, backend=backend, dynamic=True
-            )
-            out = compile_fn(nt_view)
+    # NJT1 -> Dense -> NJT2 -> Dense view
+    # During view replay, the Dense -> NJT2 part will construct an intermediate,
+    # symbolically-sized NJT that is immediately deconstructed to return the final dense
+    # view. To construct this intermediate properly, we need the associated nested int
+    # to be symbolic. This view is expected to fail compilation until symbolic nested ints
+    # are cached onto fake offsets to solve this problem.
+    @unittest.expectedFailure
+    def test_subclass_dense_subclass_dense_view(self):
+        x = self._get_jagged_tensor(((2, 3, 4), 3), None, requires_grad=True)[0].clone()
+        offsets2 = x.offsets().clone().detach()
+        nt_view = nested_view_from_values_offsets(x.values(), offsets2).values()
+        self._input_view_test(nt_view)
 
 
 if __name__ == "__main__":

test/expect/HasDecompTest.test_has_decomposition.expect

@@ -435,6 +435,13 @@ aten::_nested_from_padded
 aten::_nested_from_padded.out
 aten::_nested_from_padded_and_nested_example
 aten::_nested_from_padded_and_nested_example.out
+aten::_nested_get_jagged_dummy
+aten::_nested_get_lengths
+aten::_nested_get_offsets
+aten::_nested_get_ragged_idx
+aten::_nested_get_values
+aten::_nested_get_values_copy
+aten::_nested_get_values_copy.out
 aten::_nested_select_backward
 aten::_nested_sum_backward
 aten::_nested_tensor_from_mask
@@ -452,6 +459,9 @@ aten::_nested_tensor_strides.out
 aten::_nested_view_from_buffer
 aten::_nested_view_from_buffer_copy
 aten::_nested_view_from_buffer_copy.out
+aten::_nested_view_from_jagged
+aten::_nested_view_from_jagged_copy
+aten::_nested_view_from_jagged_copy.out
 aten::_new_zeros_with_same_feature_meta
 aten::_new_zeros_with_same_feature_meta.out
 aten::_nnpack_spatial_convolution

test/export/test_export.py

@@ -72,12 +72,28 @@ from torch.export import export
 
 
 torch.library.define("testlib::returns_tensor_symint", "(Tensor x) -> (Tensor, SymInt)")
+torch.library.define(
+    "testlib::foo",
+    "(Tensor(a!) x, Tensor(b!) z) -> (Tensor, Tensor, Tensor)",
+    tags=torch.Tag.pt2_compliant_tag,
+)
 
 @torch.library.impl("testlib::returns_tensor_symint", "cpu")
 @torch.library.impl_abstract("testlib::returns_tensor_symint")
 def returns_tensor_symint_impl(x):
     return x, x.shape[0]
 
+@torch.library.impl("testlib::foo", "cpu")
+@torch._dynamo.disable
+def foo_impl(x, z):
+    x.add_(5)
+    z.add_(5)
+    return x, z, x + z
+
+@torch.library.impl_abstract("testlib::foo")
+def foo_abstract(x, z):
+    return x, z, x + z
+
 
 @unittest.skipIf(not torchdynamo.is_dynamo_supported(), "dynamo isn't support")
 class TestDynamismExpression(TestCase):
@@ -3551,6 +3567,30 @@ def forward(self, arg0_1, arg1_1, arg2_1):
 
         self._test_export_same_as_eager(Module(), (torch.randn(4, 4),))
 
+    def test_custom_op_auto_functionalize(self):
+        class M(torch.nn.Module):
+            def __init__(self):
+                super().__init__()
+
+            def forward(self, x, z):
+                return torch.ops.testlib.foo(x, z)
+
+        inps = (torch.ones(5), torch.ones(5))
+        inps_for_export = (torch.ones(5), torch.ones(5))
+        inps_for_export_with_decomp = (torch.ones(5), torch.ones(5))
+
+        ep = torch.export.export(M(), inps_for_export)
+        x_new_eager, z_new_eager, legit_eager = M()(*inps)
+        x_new_export, z_new_export, legit_export = ep.module()(*inps_for_export)
+        self.assertTrue(torch.allclose(x_new_eager, x_new_export))
+        self.assertTrue(torch.allclose(z_new_eager, z_new_export))
+        self.assertTrue(torch.allclose(legit_eager, legit_export))
+
+        ep = ep.run_decompositions()
+        x_new_export, z_new_export, legit_export = ep.module()(*inps_for_export_with_decomp)
+        self.assertTrue(torch.allclose(x_new_eager, x_new_export))
+        self.assertTrue(torch.allclose(z_new_eager, z_new_export))
+        self.assertTrue(torch.allclose(legit_eager, legit_export))
 
 @unittest.skipIf(not torchdynamo.is_dynamo_supported(), "dynamo isn't support")
 class TestOneOffModelExportResult(TestCase):

test/export/test_passes.py

@@ -7,8 +7,8 @@ with test_functionalization_with_native_python_assertion)
 import math
 import operator
 import unittest
-from typing import List, Set
 from re import escape
+from typing import List, Set
 
 import torch
 from functorch.experimental.control_flow import cond
@@ -17,22 +17,38 @@ from torch._export.pass_base import _ExportPassBaseDeprecatedDoNotUse
 from torch._export.passes.functionalize_side_effectful_ops_pass import (
     _FunctionalizeSideEffectfulOpsPass,
 )
+from torch._export.passes.replace_set_grad_with_hop_pass import (
+    _is_set_grad_enabled_node,
+    _is_set_grad_enabled_sub_mod,
+)
 from torch._export.passes.replace_view_ops_with_view_copy_ops_pass import (
     get_view_copy_of_view_op,
     is_view_op,
     ReplaceViewOpsWithViewCopyOpsPass,
 )
+from torch._export.utils import (
+    node_inline_,
+    nodes_count,
+    nodes_filter,
+    nodes_map,
+    sequential_split,
+)
+from torch._higher_order_ops.auto_functionalize import auto_functionalized
 from torch.export import export
+from torch.export._remove_auto_functionalized_pass import (
+    unsafe_remove_auto_functionalized_pass,
+)
 from torch.fx.passes.infra.partitioner import Partition
 from torch.fx.passes.operator_support import OperatorSupport
+from torch.library import impl, _scoped_library
 from torch.testing import FileCheck
-from torch.testing._internal.common_utils import run_tests, TestCase, skipIfTorchDynamo, IS_WINDOWS
-from torch.utils import _pytree as pytree
-from torch._export.utils import sequential_split, nodes_filter, nodes_map, node_inline_, nodes_count
-from torch._export.passes.replace_set_grad_with_hop_pass import (
-    _is_set_grad_enabled_node, _is_set_grad_enabled_sub_mod
+from torch.testing._internal.common_utils import (
+    IS_WINDOWS,
+    run_tests,
+    skipIfTorchDynamo,
+    TestCase,
 )
-
+from torch.utils import _pytree as pytree
 
 def count_call_function(graph: torch.fx.Graph, target: torch.ops.OpOverload) -> int:
     count = 0
@@ -620,5 +636,96 @@ def forward(self, sin, cos):
             self.assertEqual(before_str, after_inline_str)
             self.assertEqual(gm(*args), new_gm(*args))
 
+    def test_remove_auto_functionalized_pass(self) -> None:
+        with _scoped_library("DO_NOT_USE_TEST_ONLY", "DEF") as lib:
+
+            lib.define("custom_mutator(Tensor x, Tensor(a!) y) -> Tensor")
+
+            @impl(lib, "custom_mutator", "Meta")
+            def custom_mutator_meta(
+                x: torch.Tensor,
+                y: torch.Tensor,
+            ) -> torch.Tensor:
+                return torch.empty_like(x)
+
+
+            @impl(lib, "custom_mutator", "CompositeExplicitAutograd")
+            def custom_mutator(
+                x: torch.Tensor,
+                y: torch.Tensor,
+            ) -> torch.Tensor:
+                return x + y.add_(1)
+
+            class M(torch.nn.Module):
+                def __init__(self):
+                    super().__init__()
+                    self.register_buffer("state", torch.zeros(1))
+
+                def forward(self, x):
+                    return torch.ops.DO_NOT_USE_TEST_ONLY.custom_mutator(x, self.state)
+
+            mod = M()
+            x = torch.randn([3, 3])
+            ep = export(mod, (x,))
+            inplace_ep = unsafe_remove_auto_functionalized_pass(ep)
+            nodes = inplace_ep.graph.nodes
+            for node in nodes:
+                if node.op == "call_function":
+                    self.assertFalse(node.target is auto_functionalized)
+                    self.assertFalse(node.target is operator.getitem)
+
+            for spec in inplace_ep.graph_signature.output_specs:
+                self.assertFalse("getitem" in spec.arg.name)
+
+    def test_remove_auto_functionalized_pass_tuple(self) -> None:
+        with _scoped_library("DO_NOT_USE_TEST_ONLY", "DEF") as lib:
+
+            lib.define("custom_mutator_tuple(Tensor x, Tensor(a!) y) -> (Tensor, Tensor)")
+
+            @impl(lib, "custom_mutator_tuple", "Meta")
+            def custom_mutator_tuple_meta(
+                x: torch.Tensor,
+                y: torch.Tensor,
+            ):
+                return (torch.empty_like(x), torch.empty_like(x))
+
+
+            @impl(lib, "custom_mutator_tuple", "CompositeExplicitAutograd")
+            def custom_mutator_tuple(
+                x: torch.Tensor,
+                y: torch.Tensor,
+            ):
+                return (x, x + y.add_(1))
+
+            class M(torch.nn.Module):
+                def __init__(self):
+                    super().__init__()
+                    self.register_buffer("state", torch.zeros(1))
+
+                def forward(self, x):
+                    return torch.ops.DO_NOT_USE_TEST_ONLY.custom_mutator_tuple(
+                        x, self.state
+                    )
+
+            mod = M()
+            x = torch.randn([3, 3])
+            ep = export(mod, (x,))
+            inplace_ep = unsafe_remove_auto_functionalized_pass(ep)
+
+            nodes = inplace_ep.graph.nodes
+            getitems = 0
+            for node in nodes:
+                if node.op == "call_function":
+                    self.assertFalse(node.target is auto_functionalized)
+                    if node.target is operator.getitem:
+                        getitems += 1
+            self.assertEqual(getitems, 2)  # tuple return of len 2
+
+            out_specs = inplace_ep.graph_signature.output_specs
+            self.assertEqual(out_specs[0].arg.name, "arg0_1")  # state
+            self.assertEqual(out_specs[1].arg.name, "getitem")  # tuple return 1
+            self.assertEqual(out_specs[2].arg.name, "getitem_1")  # tuple return 2
+
+
 if __name__ == '__main__':
     run_tests()

test/inductor/test_cpu_cpp_wrapper.py

@@ -322,6 +322,7 @@ if RUN_CPU:
         BaseTest("test_relu"),  # multiple inputs
         BaseTest("test_repeat_interleave", "", test_cpu_repro.CPUReproTests()),
         BaseTest("test_scalar_input"),
+        BaseTest("test_scalar_output"),
         BaseTest("test_scaled_dot_product_attention"),
         BaseTest("test_scatter1"),
         BaseTest("test_scatter2"),

test/inductor/test_torchinductor.py

@@ -415,6 +415,12 @@ def check_model(
     if check_has_compiled:
         assert called, "Ran graph without calling compile_fx"
     assert type(actual) == type(correct)
+    if isinstance(actual, (tuple, list)):
+        assert len(actual) == len(correct)
+        assert all(
+            type(actual_item) == type(correct_item)
+            for actual_item, correct_item in zip(actual, correct)
+        )
 
     correct_flat, correct_spec = tree_flatten(correct)
     actual_flat = pytree.tree_leaves(actual)
@@ -2452,6 +2458,20 @@ class CommonTemplate:
 
         self.common(fn, [torch.randint(5, (1, 8)), 5400])
 
+    @torch._dynamo.config.patch(dynamic_shapes=True)
+    @torch._dynamo.config.patch(assume_static_by_default=False)
+    def test_scalar_output(self):
+        def fn(arg0_1, arg2_1):
+            arg1_1 = arg2_1.size(1)
+            view = torch.ops.aten.view.default(arg2_1, [-1, arg1_1])
+            embedding = torch.ops.aten.embedding.default(arg0_1, view)
+            full = torch.ops.aten.full.default([1, arg1_1], 1, dtype=torch.float32)
+            return (full, arg1_1, embedding)
+
+        arg0_1 = rand_strided((32128, 768), (768, 1), device="cpu", dtype=torch.float32)
+        arg2_1 = rand_strided((1, 22), (22, 1), device="cpu", dtype=torch.int64)
+        self.common(fn, [arg0_1, arg2_1])
+
     def test_shape_prop_torch_ones(self):
         class Model(torch.nn.Module):
             def forward(self, attention_scores):

test/inductor/test_triton_heuristics.py

@@ -5,7 +5,7 @@ import unittest
 
 import torch
 
-from torch.testing._internal.common_utils import IS_LINUX
+from torch.testing._internal.common_utils import IS_LINUX, skipIfRocm
 from torch.testing._internal.inductor_utils import HAS_GPU
 
 try:
@@ -71,6 +71,7 @@ class TestTritonHeuristics(TestCase):
         ]
         self.assertEqual(forward(*args), foo_c(*args))
 
+    @skipIfRocm
     def test_artificial_zgrid(self):
         self._test_artificial_zgrid()
 

test/test_autograd.py

@@ -8822,7 +8822,7 @@ get_out().sum().backward()
                 self.assertEqual(a.device, b.device)
                 self.assertEqual(a.dtype, b.dtype)
 
-            def _test_fn(fn, inp, *args):
+            def _test_fn(fn, inp, *args, use_unsafe_view_func=False):
                 outs = fn(inp, *args)
                 # handle functions that return multiple views (e.g. split)
                 if isinstance(outs, torch.Tensor):
@@ -8835,7 +8835,10 @@ get_out().sum().backward()
                     # forward view_func
                     new_inp = inp.clone()
                     _assert_match_metadata(new_inp, inp)
-                    new_out = out._view_func(new_inp)
+                    if use_unsafe_view_func:
+                        new_out = out._view_func_unsafe(new_inp)
+                    else:
+                        new_out = out._view_func(new_inp)
                     _assert_match_metadata(new_out, out)
                     self.assertEqual(new_out, out)
 
@@ -8901,6 +8904,33 @@ get_out().sum().backward()
 
             _test_fn(chain_with_only_current_view_func, torch.randn(2, 3, 4))
 
+            # TODO: Move this somewhere else
+            # test NT views
+            from torch.nested._internal.nested_tensor import nested_view_from_values_offsets
+
+            values = torch.randn(10, 5)
+            offsets = torch.tensor([0, 3, 6, 10])
+            _test_fn(nested_view_from_values_offsets, values, offsets)
+
+            nt = nested_view_from_values_offsets(values, offsets).clone().detach()
+            _test_fn(torch.ops.aten._nested_get_values.default, nt, use_unsafe_view_func=True)
+
+            def chain_nt_to_dense_back_and_forth(nt):
+                # NJT1 -> dense -> NJT2 -> dense
+                offsets2 = nt.offsets().clone().detach()
+                return nested_view_from_values_offsets(nt.values(), offsets2).values()
+
+            _test_fn(chain_nt_to_dense_back_and_forth, nt, use_unsafe_view_func=True)
+
+            def chain_dense_to_nt_back_and_forth(values, offsets):
+                offsets2 = offsets.clone().detach()
+                # dense -> NJT1 -> dense -> NJT2
+                return nested_view_from_values_offsets(
+                    nested_view_from_values_offsets(values, offsets).values(),
+                    offsets2)
+
+            _test_fn(chain_dense_to_nt_back_and_forth, values, offsets, use_unsafe_view_func=True)
+
     def test_view_func_replay_with_modified_state(self):
         with torch.autograd._force_original_view_tracking(True):
             base = torch.randn(3, 4, 5)

test/test_mps.py

@@ -412,6 +412,7 @@ def mps_ops_modifier(ops):
         'mean',
         'ne',
         'neg',
+        'nn.functional.rms_norm',
         'nn.functional.padconstant',
         'nn.functional.padreflect',
         'nn.functional.padreplicate',
@@ -5777,6 +5778,25 @@ class TestMPS(TestCaseMPS):
 
         self.assertEqual(clamp_result_mps, clamp_result_cpu)
 
+    def test_clamp_nan(self):
+        t_mps = torch.tensor([torch.nan, 1, 2], device="mps")
+        t_cpu = torch.tensor([torch.nan, 1, 2], device="cpu")
+
+        clamp_min_max_mps = torch.clamp(t_mps, min=-100, max=100)
+        clamp_min_max_cpu = torch.clamp(t_cpu, min=-100, max=100)
+
+        self.assertEqual(clamp_min_max_mps, clamp_min_max_cpu)
+
+        clamp_min_mps = torch.clamp(t_mps, min=-100)
+        clamp_min_cpu = torch.clamp(t_cpu, min=-100)
+
+        self.assertEqual(clamp_min_mps, clamp_min_cpu)
+
+        clamp_max_mps = torch.clamp(t_mps, max=100)
+        clamp_max_cpu = torch.clamp(t_cpu, max=100)
+
+        self.assertEqual(clamp_max_mps, clamp_max_cpu)
+
     # Test clamp_min
     def test_clamp_min(self):
         def helper(n, c, h, w):
@@ -6918,9 +6938,9 @@ class TestMPS(TestCaseMPS):
         # See https://github.com/pytorch/pytorch/issues/116769#issuecomment-1888302095
         self.assertNotEqual(torch.mm(x, y[:, 16384:32768]).abs().max().item(), 0.0)
 
-        def compare_mm(m, n, k):
-            x = torch.rand(m, n, device="mps")
-            y = torch.rand(n, k, device="mps")
+        def compare_mm(m, n, k, dtype=torch.float):
+            x = torch.rand(m, n, device="mps", dtype=dtype)
+            y = torch.rand(n, k, device="mps", dtype=dtype)
             z = torch.mm(x, y).cpu()
             z_cpu = torch.mm(x.cpu(), y.cpu())
             self.assertEqual(z, z_cpu)
@@ -6931,6 +6951,10 @@ class TestMPS(TestCaseMPS):
         # see https://github.com/pytorch/pytorch/issues/116769#issuecomment-1920066984
         compare_mm(32769, 1, 1025)
 
+        if product_version >= 14.0:
+            # Test bfloat16 mm
+            compare_mm(1024, 1, 32769, torch.bfloat16)
+
     # Test flip
     def test_flip(self):
         def helper(shape, dims):

test/test_nestedtensor.py

@@ -37,18 +37,18 @@ from torch.testing._internal.common_utils import (
     parametrize,
     run_tests,
     skipIfSlowGradcheckEnv,
+    skipIfTorchDynamo,
     markDynamoStrictTest,
     xfailIfTorchDynamo,
-    skipIfTorchDynamo,
     subtest,
     TEST_WITH_ROCM,
     TestCase,
 )
 
 from torch.nested._internal.nested_tensor import (
-    buffer_from_jagged,
     jagged_from_list,
     NestedTensor,
+    nested_view_from_values_offsets,
 )
 
 # Tests are ported from pytorch/nestedtensor.
@@ -3014,7 +3014,8 @@ class TestNestedTensorSubclass(TestCase):
         a = torch.randn(2, 3, requires_grad=True, dtype=torch.float64, device=device)
         b = torch.randn(3, 3, requires_grad=True, dtype=torch.float64, device=device)
         c = torch.randn(4, 3, requires_grad=True, dtype=torch.float64, device=device)
-        nt, _offsets = jagged_from_list([a, b, c], None)
+        nt = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
+        _offsets = nt.offsets()
 
         for op in (
             torch.ops.aten.is_non_overlapping_and_dense.default,
@@ -3043,9 +3044,9 @@ class TestNestedTensorSubclass(TestCase):
         weight = torch.randn(4, 3, requires_grad=True, dtype=torch.float64, device=device)
 
         def grad_test_func(a, b, c, weight):
-            nt, _ = jagged_from_list([a, b, c], None)
+            nt = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
             out = torch.nn.functional.linear(nt, weight)
-            return buffer_from_jagged(out)
+            return out.values()
 
         gradcheck(grad_test_func, inputs=(a, b, c, weight), check_batched_grad=False)
 
@@ -3055,9 +3056,9 @@ class TestNestedTensorSubclass(TestCase):
         c = torch.randn(4, 3, requires_grad=True, dtype=torch.float64, device=device)
 
         def grad_test_func(a, b, c):
-            nt, _ = jagged_from_list([a, b, c], None)
+            nt = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
             out = torch.nn.functional.silu(nt.sin().cos())
-            return buffer_from_jagged(out)
+            return out.values()
 
         gradcheck(grad_test_func, inputs=(a, b, c), check_batched_grad=False)
 
@@ -3066,7 +3067,7 @@ class TestNestedTensorSubclass(TestCase):
             torch.randn(i + 2, 5, requires_grad=True, dtype=torch.float64, device=device) for i in range(3)
         )
 
-        nt, _ = jagged_from_list([a.detach(), b.detach(), c.detach()], None)
+        nt = torch.nested.nested_tensor([a.detach(), b.detach(), c.detach()], layout=torch.jagged)
         nt_t = nt.transpose(1, 2)
         self.assertFalse(nt_t.is_contiguous())
         out = torch.nn.functional.silu(nt_t.sin().cos())
@@ -3079,10 +3080,10 @@ class TestNestedTensorSubclass(TestCase):
         )
 
         def grad_test_func(a, b, c):
-            nt, _ = jagged_from_list([a, b, c], None)
+            nt = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
             nt_t = nt.transpose(1, 2)
             out = torch.nn.functional.silu(nt_t.sin().cos())
-            return buffer_from_jagged(out)
+            return out.values()
 
         gradcheck(grad_test_func, inputs=(a, b, c), check_batched_grad=False)
 
@@ -3094,8 +3095,8 @@ class TestNestedTensorSubclass(TestCase):
 
         # Incorrect usage: shape check will fail if the offsets tensor are not
         #                  the same exact tensor object
-        nt1, _ = jagged_from_list([a, b, c], None)
-        nt2, _ = jagged_from_list([a, b, c], None)
+        nt1 = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
+        nt2 = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
 
         self.assertRaisesRegex(
             RuntimeError,
@@ -3104,10 +3105,11 @@ class TestNestedTensorSubclass(TestCase):
 
         # Correct usage: chain the calls using the same offsets tensor object
         def grad_test_func(a, b, c):
-            nt1, offsets = jagged_from_list([a, b, c], None)
-            nt2, offsets = jagged_from_list([a, b, c], offsets)
+            nt1 = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
+            # TODO: Switch to public API that takes in (values, offsets) once it exists
+            nt2, offsets = jagged_from_list([a, b, c], nt1.offsets())
             out = nt1 * nt2
-            return buffer_from_jagged(out)
+            return out.values()
 
         gradcheck(grad_test_func, inputs=(a, b, c), check_batched_grad=False)
 
@@ -3122,10 +3124,10 @@ class TestNestedTensorSubclass(TestCase):
         nt1_t = nt1.transpose(1, 2)
         nt2_t = nt2.transpose(1, 2)
 
-        out = nt1_t * nt2_t
-        self.assertFalse(nt1_t.is_contiguous())
-        self.assertEqual(out.is_contiguous(), (b.transpose(-1, -2) * b.transpose(-1, -2)).is_contiguous())
-        self.assertEqual(out.shape, nt1_t.shape)
+        # out = nt1_t * nt2_t
+        # self.assertFalse(nt1_t.is_contiguous())
+        # self.assertEqual(out.is_contiguous(), (b.transpose(-1, -2) * b.transpose(-1, -2)).is_contiguous())
+        # self.assertEqual(out.shape, nt1_t.shape)
 
         self.assertRaisesRegex(
             RuntimeError,
@@ -3144,7 +3146,7 @@ class TestNestedTensorSubclass(TestCase):
             nt1_t = nt1.transpose(1, 2)
             nt2_t = nt2.transpose(1, 2)
             out = nt1_t * nt2_t
-            return buffer_from_jagged(out)
+            return out.values()
 
         gradcheck(grad_test_func, inputs=(a, b, c), check_batched_grad=False)
 
@@ -3153,14 +3155,16 @@ class TestNestedTensorSubclass(TestCase):
         b = torch.randn(3, 3, requires_grad=True, dtype=torch.float64, device=device)
         c = torch.randn(4, 3, requires_grad=True, dtype=torch.float64, device=device)
 
-        nt, _ = jagged_from_list([a, b, c], None)
+        nt = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
         out = torch.split(nt, 2, -1)
         self.assertEqual(len(out), 2)
         self.assertEqual(
-            out[0], jagged_from_list([a[:, 0:2], b[:, 0:2], c[:, 0:2]], None)[0]
+            out[0],
+            torch.nested.as_nested_tensor([a[:, 0:2], b[:, 0:2], c[:, 0:2]], layout=torch.jagged)
         )
         self.assertEqual(
-            out[1], jagged_from_list([a[:, 2:], b[:, 2:], c[:, 2:]], None)[0]
+            out[1],
+            torch.nested.as_nested_tensor([a[:, 2:], b[:, 2:], c[:, 2:]], layout=torch.jagged)
         )
 
         with self.assertRaisesRegex(
@@ -3174,14 +3178,16 @@ class TestNestedTensorSubclass(TestCase):
         b = torch.randn(3, 3, requires_grad=True, dtype=torch.float64, device=device)
         c = torch.randn(4, 3, requires_grad=True, dtype=torch.float64, device=device)
 
-        nt, _ = jagged_from_list([a, b, c], None)
+        nt = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
         out = torch.split(nt, [1, 2], -1)
         self.assertEqual(len(out), 2)
         self.assertEqual(
-            out[0], jagged_from_list([a[:, 0:1], b[:, 0:1], c[:, 0:1]], None)[0]
+            out[0],
+            torch.nested.as_nested_tensor([a[:, 0:1], b[:, 0:1], c[:, 0:1]], layout=torch.jagged)
         )
         self.assertEqual(
-            out[1], jagged_from_list([a[:, 1:], b[:, 1:], c[:, 1:]], None)[0]
+            out[1],
+            torch.nested.as_nested_tensor([a[:, 1:], b[:, 1:], c[:, 1:]], layout=torch.jagged)
         )
         with self.assertRaisesRegex(
             RuntimeError,
@@ -3207,13 +3213,12 @@ class TestNestedTensorSubclass(TestCase):
         view = nt.expand(-1, -1, 5)
         self.assertEqual(nt.shape[:2], view.shape[:2])
 
-    @skipIfTorchDynamo("skipped until proper view support for NT")
     def test_view_ragged_idx_not_one(self, device):
         nt = random_nt_from_dims([2, None, 20], device=device, dtype=torch.float32, layout=torch.jagged)
 
         view_transposed = nt.transpose(1, 2).view(2, 20, nt.size(1))
         self.assertEqual((2, 20, nt.size(1)), (view_transposed.size()))
-        self.assertEqual(view_transposed._base, nt)
+        self.assertEqual(view_transposed._base, nt._base)
 
     def test_unsafe_view(self, device):
         nt = random_nt_from_dims([4, None, 8, 10], device=device, dtype=torch.float32, layout=torch.jagged)
@@ -3232,14 +3237,13 @@ class TestNestedTensorSubclass(TestCase):
     @xfailIfTorchDynamo
     @parametrize("requires_grad", [False, True])
     def test_reshape_decomp(self, device, requires_grad):
-        # contiguous NT should result in view
+        # contiguous NT should result in view.
         nt = random_nt_from_dims(
             [3, None, 10],
             device=device,
             dtype=torch.float32,
             layout=torch.jagged,
-            requires_grad=requires_grad
-        )
+        ).detach().requires_grad_(requires_grad)
         view = nt.reshape(-1, -1, 5, 2)
         self.assertEqual(view.shape[:2], nt.shape[:2])
         self.assertTrue(view._is_view() and view._base is nt)
@@ -3355,9 +3359,9 @@ class TestNestedTensorSubclass(TestCase):
         )
 
         def grad_test_func(t, *ts):
-            nt, _ = jagged_from_list(ts, None)
+            nt = torch.nested.as_nested_tensor(list(ts), layout=torch.jagged)
             out = nt + t
-            return buffer_from_jagged(out)
+            return out.values()
 
         for t_size in t_sizes:
             t = torch.rand(t_size, requires_grad=True, device=device, dtype=torch.float64)
@@ -3369,13 +3373,13 @@ class TestNestedTensorSubclass(TestCase):
 
         nt1, offsets = jagged_from_list(ts1, None)
         nt2, offsets = jagged_from_list(ts2, offsets)
-        buf1 = buffer_from_jagged(nt1).detach().clone()
-        buf2 = buffer_from_jagged(nt2).detach().clone()
+        buf1 = nt1.values().detach().clone()
+        buf2 = nt2.values().detach().clone()
 
         res_nt = torch.ops.aten.threshold_backward(nt1, nt2, 0.0)
         res_dense = torch.ops.aten.threshold_backward(buf1, buf2, 0.0)
 
-        self.assertEqual(res_dense, buffer_from_jagged(res_nt))
+        self.assertEqual(res_dense, res_nt.values())
 
 
     @parametrize("keepdim", [False, True])
@@ -3399,11 +3403,11 @@ class TestNestedTensorSubclass(TestCase):
                 with self.assertRaisesRegex(
                         RuntimeError,
                         "applying over the ragged dimension, but not the batch dimension"):
-                    nt, _ = jagged_from_list(ts, None)
+                    nt = torch.nested.as_nested_tensor(ts, layout=torch.jagged)
                     out = torch.sum(nt, dim=rd, keepdim=keepdim)
                 continue
 
-            nt, _ = jagged_from_list(ts, None)
+            nt = torch.nested.as_nested_tensor(ts, layout=torch.jagged)
             out = torch.sum(nt, dim=rd, keepdim=keepdim)
             ref_shape = ref_shape_keepdim if keepdim else ref_shape_no_keepdim
             self.assertEqual(len(out.shape), len(ref_shape))
@@ -3415,7 +3419,7 @@ class TestNestedTensorSubclass(TestCase):
 
         # Check values correctness
         # raggedness not reduced
-        nt, _ = jagged_from_list(ts, None)
+        nt = torch.nested.as_nested_tensor(ts, layout=torch.jagged)
         out = torch.sum(nt, dim=(2, 3), keepdim=keepdim)
         out_ref = torch.sum(nt.values(), dim=(1, 2))
         self.assertIsInstance(out, NestedTensor)
@@ -3423,7 +3427,7 @@ class TestNestedTensorSubclass(TestCase):
         self.assertTrue(torch.allclose(out.values().view(-1), out_ref.view(-1)))
 
         # raggedness reduced away
-        nt, _ = jagged_from_list(ts, None)
+        nt = torch.nested.as_nested_tensor(ts, layout=torch.jagged)
         out = torch.sum(nt, dim=(0, 1), keepdim=keepdim)
         out_ref = torch.sum(nt.values(), dim=(0,))
         self.assertNotIsInstance(out, NestedTensor)
@@ -3469,24 +3473,25 @@ class TestNestedTensorSubclass(TestCase):
             self.assertIs(pinned, pinned.pin_memory())
             self.assertEqual(pinned.data_ptr(), pinned.pin_memory().data_ptr())
 
-    def _validate_nt(self, nt, tensor_list, device, dtype, requires_grad):
+    @torch.compiler.disable
+    def _validate_nt(self, nt, device, dtype, layout, requires_grad, dim, batch_size, base=None):
         # Validate a bunch of properties after NT construction.
         device = torch.device(device)
-        first_t = torch.as_tensor(tensor_list[0])
-        expected_dim = first_t.dim() + 1
-        batch_size = len(tensor_list)
-        self.assertEqual(nt.dim(), expected_dim)
+        self.assertEqual(nt.dim(), dim)
         self.assertEqual(nt.device, device)
         self.assertEqual(nt.dtype, dtype)
-        self.assertEqual(nt.layout, torch.jagged)
+        self.assertEqual(nt.layout, layout)
         self.assertEqual(nt.requires_grad, requires_grad)
-        self.assertEqual(nt.values().device, device)
-        self.assertEqual(nt.offsets().device, device)
-        self.assertEqual(nt.shape[0], batch_size)
-        self.assertTrue(isinstance(nt.shape[1], torch.SymInt))
-        self.assertEqual(nt.shape[2:], first_t.shape[1:])
 
-    @xfailIfTorchDynamo
+        if layout == torch.jagged:
+            self.assertEqual(nt._values.device, device)
+            self.assertEqual(nt._offsets.device, device)
+            self.assertEqual(nt.shape[0], batch_size)
+            self.assertTrue(isinstance(nt.shape[1], torch.SymInt))
+
+        if base is not None:
+            self.assertTrue(nt._is_view() and nt._base is base)
+
     @dtypes(torch.float, torch.double, torch.half)
     @parametrize("requires_grad", [False, True])
     @parametrize("components_require_grad", [False, True])
@@ -3500,7 +3505,11 @@ class TestNestedTensorSubclass(TestCase):
                 dtype=dtype,
                 layout=torch.jagged,
                 requires_grad=requires_grad)
-            self._validate_nt(nt, tensor_list, device, dtype, requires_grad)
+
+            expected_dim = torch.as_tensor(tensor_list[0]).dim() + 1
+            expected_batch_size = len(tensor_list)
+            self._validate_nt(
+                nt, device, dtype, torch.jagged, requires_grad, expected_dim, expected_batch_size)
 
             # Make sure grads -don't- flow back into original tensors for nested_tensor()
             if requires_grad:
@@ -3509,7 +3518,6 @@ class TestNestedTensorSubclass(TestCase):
                 t = t if isinstance(t, torch.Tensor) else torch.as_tensor(t)
                 self.assertTrue(t.grad is None)
 
-    @xfailIfTorchDynamo
     @dtypes(torch.float, torch.double, torch.half)
     @parametrize("components_require_grad", [False, True])
     def test_jagged_layout_construction_as_nested_tensor(
@@ -3524,7 +3532,16 @@ class TestNestedTensorSubclass(TestCase):
                 layout=torch.jagged)
 
             # nt.requires_grad=True should be set if at least one component requires grad
-            self._validate_nt(nt, tensor_list, device, dtype, components_require_grad)
+            expected_dim = tensor_list[0].dim() + 1
+            expected_batch_size = len(tensor_list)
+            self._validate_nt(
+                nt,
+                device,
+                dtype,
+                torch.jagged,
+                components_require_grad,
+                expected_dim,
+                expected_batch_size)
 
             # Make sure grads flow back into original tensors for as_nested_tensor()
             if components_require_grad:
@@ -3546,9 +3563,53 @@ class TestNestedTensorSubclass(TestCase):
                 device="cpu",
                 pin_memory=True)
 
-            self._validate_nt(nt, tensor_list, "cpu", torch.float32, requires_grad=False)
+            expected_dim = torch.as_tensor(tensor_list[0]).dim() + 1
+            expected_batch_size = len(tensor_list)
+            self._validate_nt(
+                nt,
+                device="cpu",
+                dtype=torch.float32,
+                layout=torch.jagged,
+                requires_grad=False,
+                dim=expected_dim,
+                batch_size=expected_batch_size)
             self.assertTrue(nt.is_pinned())
 
+    @dtypes(torch.float, torch.double, torch.half)
+    @parametrize("requires_grad", [False, True])
+    @parametrize("values_is_view", [False, True])
+    def test_jagged_view_from_values_offsets(self, device, dtype, requires_grad, values_is_view):
+        if values_is_view:
+            # make values a view of base
+            base = torch.randn(
+                2, 3, 4, 5, 6, device=device, dtype=dtype, requires_grad=requires_grad)
+            values = base.flatten(0, -2)
+        else:
+            values = torch.randn(10, 5, device=device, dtype=dtype, requires_grad=requires_grad)
+        offsets = torch.tensor([0, 2, 4, 6, 10], device=device, dtype=torch.int64)
+
+        nt = nested_view_from_values_offsets(values, offsets)
+
+        expected_dim = values.dim() + 1
+        expected_batch_size = offsets.shape[0] - 1
+        expected_base = base if values_is_view else values
+        self._validate_nt(
+            nt, device, dtype, torch.jagged, requires_grad, expected_dim, expected_batch_size,
+            # ensure NT is a proper view
+            base=expected_base
+        )
+
+        if requires_grad:
+            # Make sure grads flow back
+            (nt * 2).backward(torch.ones_like(nt))
+
+            @torch.compiler.disable
+            def _check_grad(t):
+                self.assertTrue(t.grad is not None)
+                self.assertEqual(t.grad, torch.ones_like(t) * 2)
+
+            _check_grad(base if values_is_view else values)
+
     @dtypes(torch.double, torch.half)
     @onlyCUDA
     def test_device_dtype_transfer_maintains_offsets(self, device, dtype):
@@ -3587,9 +3648,9 @@ class TestNestedTensorSubclass(TestCase):
         bias = torch.randn(3, requires_grad=False, dtype=torch.float64, device=device)
 
         def grad_test_func(a, b, c, bias):
-            nt, _ = jagged_from_list([a, b, c], None)
+            nt = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
             out = torch.nn.functional.layer_norm(nt, (nt.shape[-1],), bias=bias)
-            return buffer_from_jagged(out)
+            return out.values()
 
         gradcheck(
             grad_test_func, inputs=(*test_tensor_list, bias), check_batched_grad=False
@@ -3599,20 +3660,26 @@ class TestNestedTensorSubclass(TestCase):
             RuntimeError,
             r"layer_norm\(\): normalizing over ragged dim not supported for nested tensors",
         ):
-            nt, _ = jagged_from_list(test_tensor_list, None)
+            nt = torch.nested.as_nested_tensor(test_tensor_list, layout=torch.jagged)
             _ = torch.nn.functional.layer_norm(nt, (nt.shape[-2], nt.shape[-1]))
 
     def test_narrow(self, device):
         starts = torch.tensor([0, 1, 2, 3, 4], device=device, dtype=torch.int64)
         lengths = torch.tensor([3, 2, 2, 1, 5], device=device, dtype=torch.int64)
+        buffer = (
+            torch.arange(0, 10, device=device, dtype=torch.int64)
+            .unsqueeze(0).expand(5, -1).clone().detach()
+        )
         nt = torch.nested.narrow(
-            torch.arange(0, 10, device=device, dtype=torch.int64).unsqueeze(0).expand(5, -1).clone().detach(),
+            buffer,
             1,
             starts,
             lengths,
             layout=torch.jagged
         )
 
+        self.assertTrue(nt._is_view() and nt._base is buffer)
+
         # TODO: Use this approach when unbind is functional
         # unbinded_nt = nt.unbind()
         # for i in range(starts.shape[0]):
@@ -3627,7 +3694,7 @@ class TestNestedTensorSubclass(TestCase):
         a = torch.randn(2, 3, requires_grad=True, dtype=torch.float64, device=device)
         b = torch.randn(3, 3, requires_grad=True, dtype=torch.float64, device=device)
         c = torch.randn(4, 3, requires_grad=True, dtype=torch.float64, device=device)
-        nt_contiguous, _ = jagged_from_list([a, b, c], None)
+        nt_contiguous = torch.nested.as_nested_tensor([a, b, c], layout=torch.jagged)
 
         starts_nc = torch.tensor([0, 1, 2, 3, 4], device=device, dtype=torch.int64)
         lengths_nc = torch.tensor([3, 2, 2, 1, 5], device=device, dtype=torch.int64)
@@ -3688,7 +3755,7 @@ class TestNestedTensorSubclass(TestCase):
         a = torch.randn(2, 3, 4, requires_grad=True, dtype=torch.float64, device=device)
         b = torch.randn(3, 3, 4, requires_grad=True, dtype=torch.float64, device=device)
         c = torch.randn(4, 3, 4, requires_grad=True, dtype=torch.float64, device=device)
-        nt, _ = jagged_from_list([a, b, c], None)
+        nt = torch.nested.nested_tensor([a, b, c], layout=torch.jagged)
         # transpose ragged dim
         transposed = nt.transpose(1, 2)
         self.assertFalse(transposed.is_contiguous())
@@ -3712,8 +3779,9 @@ class TestNestedTensorSubclass(TestCase):
         check_nt_equality(detached, transposed)
 
     def test_to_copy(self, device):
-        nt, _ = jagged_from_list(
-            [torch.randn(i + 2, 3, 4, requires_grad=True, dtype=torch.float64, device=device) for i in range(3)], None
+        nt = torch.nested.nested_tensor(
+            [torch.randn(i + 2, 3, 4, requires_grad=True, dtype=torch.float64, device=device)
+             for i in range(3)], layout=torch.jagged
         )
 
         nt_copy_dtype = torch.ops.aten._to_copy(nt, dtype=torch.float16)
@@ -3745,7 +3813,6 @@ class TestNestedTensorSubclass(TestCase):
 
     # Note 1: Math fallback doesn't work with bfloat16 on CUDA
     # Note 2: ROCm doesn't support flash attention or mem_efficient attention for NT
-    @xfailIfTorchDynamo
     @unittest.skipIf(
         TEST_WITH_ROCM,
         "ROCm doesn't support flash attention or mem_efficient attention for NT",
@@ -3843,7 +3910,7 @@ class TestNestedTensorSubclass(TestCase):
             self.assertEqual(attn_d1, attn_nts[0].unsqueeze(0), atol=output_ref_atol, rtol=output_ref_rtol)
             self.assertEqual(attn_d2, attn_nts[1].unsqueeze(0), atol=output_ref_atol, rtol=output_ref_rtol)
 
-            nt_grads = torch.autograd.grad(buffer_from_jagged(attn_nt).sum(), (q_nt, k_nt, v_nt))
+            nt_grads = torch.autograd.grad(attn_nt.values().sum(), (q_nt, k_nt, v_nt))
             for nt_grad, d1_grad, d2_grad, grad_atol, grad_rtol in zip(nt_grads, d1_grads, d2_grads, grad_atols, grad_rtols):
                 unbound_nt_grads = nt_grad.unbind()
                 self.assertEqual(d1_grad, unbound_nt_grads[0].unsqueeze(0), atol=grad_atol, rtol=grad_rtol)
@@ -3863,7 +3930,7 @@ class TestNestedTensorSubclass(TestCase):
             if not (str(device).startswith("cuda") and dtype == torch.bfloat16):
                 check_forward_backward()
 
-    @skipIfTorchDynamo("skipped until proper view support for NT")
+    @skipIfTorchDynamo("SDPA test compiles internally")
     @unittest.skipIf(IS_WINDOWS, reason="Windows not yet supported for torch.compile")
     @skipCUDAIf(not SM70OrLater, "GPU capability is < SM70")
     # Guarding with sqrt() doesn't work on ROCm?
@@ -3937,7 +4004,6 @@ class TestNestedTensorSubclass(TestCase):
         output_dense = F.scaled_dot_product_attention(query._values, key._values, value._values)
         self.assertEqual(output._values, output_dense)
 
-    @skipIfTorchDynamo("skipped until proper view support for NT")
     @onlyCUDA
     @unittest.skipIf(
         not PLATFORM_SUPPORTS_FUSED_ATTENTION,

test/test_transformers.py

@@ -2384,7 +2384,6 @@ class TestSDPACudaOnly(NNTestCase):
         # Cast up and compare
         self.assertEqual(qkv.grad, qkv_lp.grad.to(torch.float64), atol=1e-5, rtol=1e-5)
 
-    @skipIfRocm  # TODO: Packed QKV
     @unittest.skipIf(not PLATFORM_SUPPORTS_FLASH_ATTENTION, "Flash Attention was not built for this system")
     @parametrize("contiguous_inputs", [True, False])
     @parametrize("is_causal", [True, False])
@@ -2435,6 +2434,8 @@ class TestSDPACudaOnly(NNTestCase):
         # Bump down the tolearnce for blfoat16
         atol = 7e-4 if dtype == torch.float16 else 7e-3
         rtol = 7e-4 if dtype == torch.float16 else 7e-3
+        if TEST_WITH_ROCM:
+            atol = 9e-4 if dtype == torch.float16 else 9e-3
         self.assertEqual(qkv.grad, qkv_lp.grad.to(torch.float64), atol=atol, rtol=rtol)
 
     @skipIfRocm  # Missing nested and EFFICIENT_ATTENTION

third_party/mkl-dnn.BUILD

@@ -64,8 +64,8 @@ template_rule(
     substitutions = {
         "@DNNL_VERSION_MAJOR@": "3",
         "@DNNL_VERSION_MINOR@": "3",
-        "@DNNL_VERSION_PATCH@": "2",
-        "@DNNL_VERSION_HASH@": "2dc95a2ad0841e29db8b22fbccaf3e5da7992b01",
+        "@DNNL_VERSION_PATCH@": "6",
+        "@DNNL_VERSION_HASH@": "86e6af5974177e513fd3fee58425e1063e7f1361",
     },
 )
 

tools/autograd/derivatives.yaml

@@ -2779,6 +2779,15 @@
   nested_size: non_differentiable
   nested_strides: non_differentiable
 
+- name: _nested_view_from_jagged(Tensor(a) self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1) -> Tensor(a)
+  self: grad.values()
+  offsets: non_differentiable
+  lengths: non_differentiable
+  dummy: non_differentiable
+
+- name: _nested_get_values(Tensor(a) self) -> Tensor(a)
+  self: _nested_view_from_jagged(grad, at::_nested_get_offsets(self), at::_nested_get_jagged_dummy(self), at::_nested_get_lengths(self), at::_nested_get_ragged_idx(self))
+
 # Transformers
 - name: _scaled_dot_product_efficient_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_bias, bool compute_log_sumexp, float dropout_p=0.0, bool is_causal=False, *, float? scale=None) -> (Tensor output, Tensor log_sumexp, Tensor philox_seed, Tensor philox_offset)
   output_differentiability: [True, False, False, False]

tools/autograd/gen_inplace_or_view_type.py

@@ -59,7 +59,9 @@ VIEW_FUNCTIONS_WITH_METADATA_CHANGE = [
     "view_as_real",
     "_conj",
     "_neg_view",
+    "_nested_get_values",
     "_nested_view_from_buffer",
+    "_nested_view_from_jagged",
 ]
 
 VIEW_FUNCTIONS = {
@@ -363,6 +365,7 @@ def emit_view_func(
         BaseCType(intArrayRefT),
         BaseCType(symIntArrayRefT),
         ConstRefCType(BaseCType(tensorT)),
+        ConstRefCType(OptionalCType(BaseCType(tensorT))),
     ]
     for binding in bindings:
         arg, arg_type = binding.name, binding.nctype.type
@@ -392,7 +395,9 @@ def emit_view_func(
                 arg=arg, val=arg_value, default="0"
             )
             updated_args.append(arg_value)
-        elif arg_type == ConstRefCType(BaseCType(tensorT)):
+        elif arg_type == ConstRefCType(BaseCType(tensorT)) or arg_type == ConstRefCType(
+            OptionalCType(BaseCType(tensorT))
+        ):
             # NB: Closing over a tensor. If a user modifies this tensor, this will be silently
             # incorrect. The proper thing to do is to store the version counter and copy on write.
             updated_args.append(arg)

tools/stats/import_test_stats.py

@@ -76,7 +76,7 @@ def fetch_and_cache(
 def get_slow_tests(
     dirpath: str, filename: str = SLOW_TESTS_FILE
 ) -> Optional[Dict[str, float]]:
-    url = "https://ossci-metrics.s3.amazonaws.com/slow-tests.json"
+    url = "https://ossci-metrics.s3.amazonaws.com/slow-tests.json?versionId=Zw9Db41MTHlq3T.gc9Si4xX8D.FAvyDC"
     try:
         return fetch_and_cache(dirpath, filename, url, lambda x: x)
     except Exception:
@@ -116,7 +116,7 @@ def get_disabled_tests(
         return disabled_test_from_issues
 
     try:
-        url = "https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json"
+        url = "https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json?versionId=80AmWqs8KiHyamnY4uoxMdVIVThFKCPU"
         return fetch_and_cache(dirpath, filename, url, process_disabled_test)
     except Exception:
         print("Couldn't download test skip set, leaving all tests enabled...")