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Merge branch 'master' of github.com:pytorch/pytorch into interpolate_uint8_images_linear_cpu_support_dev
2 parents 8721df6 + e4fe11e commit 35443d0

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‎.ci/onnx/test.sh‎

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@@ -59,7 +59,7 @@ $MAYBE_SUDO pip -q install hypothesis==4.57.1
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##############
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if [[ "$BUILD_ENVIRONMENT" == *onnx* ]]; then
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pip install -q --user --no-use-pep517 "git+https://github.com/pytorch/vision.git@$(cat .github/ci_commit_pins/vision.txt)"
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pip install -q --user ninja flatbuffers==2.0 numpy==1.22.4 onnxruntime==1.12.1 beartype==0.10.4 onnx==1.12.0
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pip install -q --user ninja flatbuffers==2.0 numpy==1.22.4 onnxruntime==1.13.1 beartype==0.10.4 onnx==1.13.0
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# TODO: change this when onnx-script is on testPypi
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pip install 'onnx-script @ git+https://github.com/microsoft/onnx-script@4f3ff0d806d0d0f30cecdfd3e8b094b1e492d44a'
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# numba requires numpy <= 1.20, onnxruntime requires numpy >= 1.21.

‎.ci/pytorch/test.sh‎

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@@ -249,7 +249,7 @@ test_dynamo_shard() {
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test_inductor_distributed() {
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# this runs on both single-gpu and multi-gpu instance. It should be smart about skipping tests that aren't supported
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# with if required # gpus aren't available
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PYTORCH_TEST_WITH_INDUCTOR=0 PYTORCH_TEST_WITH_INDUCTOR=0 python test/run_test.py --include distributed/test_dynamo_distributed --verbose
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PYTORCH_TEST_WITH_INDUCTOR=0 python test/run_test.py --include distributed/test_dynamo_distributed --verbose
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assert_git_not_dirty
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}
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@@ -828,10 +828,6 @@ test_executorch() {
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assert_git_not_dirty
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}
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test_smoke() {
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time python test/run_test.py --include test_fx test_jit test_schema_check test_foreach test_weak --verbose
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}
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if ! [[ "${BUILD_ENVIRONMENT}" == *libtorch* || "${BUILD_ENVIRONMENT}" == *-bazel-* || "${BUILD_ENVIRONMENT}" == *-tsan* ]]; then
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(cd test && python -c "import torch; print(torch.__config__.show())")
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(cd test && python -c "import torch; print(torch.__config__.parallel_info())")
@@ -992,9 +988,6 @@ elif [[ "${TEST_CONFIG}" = docs_test ]]; then
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test_docs_test
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elif [[ "${TEST_CONFIG}" == *functorch* ]]; then
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test_functorch
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elif [[ "${TEST_CONFIG}" == *smoke* ]]; then
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# TODO: Delete me once we get more 3.11 testing
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test_smoke
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else
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install_torchvision
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install_triton

‎.circleci/scripts/binary_windows_build.sh‎

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@@ -8,7 +8,7 @@ export CUDA_VERSION="${DESIRED_CUDA/cu/}"
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export USE_SCCACHE=1
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export SCCACHE_BUCKET=ossci-compiler-cache
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export SCCACHE_IGNORE_SERVER_IO_ERROR=1
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export VC_YEAR=2019
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export VC_YEAR=2022
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if [[ "${DESIRED_CUDA}" == *"cu11"* ]]; then
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export BUILD_SPLIT_CUDA=ON

‎.circleci/scripts/binary_windows_test.sh‎

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@@ -4,7 +4,7 @@ set -eux -o pipefail
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source "${BINARY_ENV_FILE:-/c/w/env}"
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export CUDA_VERSION="${DESIRED_CUDA/cu/}"
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export VC_YEAR=2019
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export VC_YEAR=2022
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pushd "$BUILDER_ROOT"
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‎.github/actions/calculate-docker-image/action.yml‎

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@@ -38,7 +38,7 @@ runs:
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id: calculate-tag
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env:
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IS_XLA: ${{ inputs.xla == 'true' && 'true' || '' }}
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XLA_IMAGE_TAG: v0.9
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XLA_IMAGE_TAG: v1.0
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DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/${{ inputs.docker-image-name }}
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run: |
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if [ -n "${IS_XLA}" ]; then

‎.github/ci_commit_pins/vision.txt‎

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135a0f9ea9841b6324b4fe8974e2543cbb95709a
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378a3274b178ab065393f0de24e0b8fba9ab819d

‎.github/ci_commit_pins/xla.txt‎

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@@ -1 +1 @@
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9cbcdb4008c14ad8251c5d4d7723aa616f659edb
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a121c7d3353f1c313ddc0fc97cc41162a3dd28e4

‎.github/pytorch-probot.yml‎

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tracking_issue: 24422
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ciflow_tracking_issue: 64124
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ciflow_push_tags:
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- ciflow/binaries
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- ciflow/binaries_conda
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- ciflow/binaries_libtorch
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- ciflow/binaries_wheel
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- ciflow/inductor
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- ciflow/inductor-perf-test-nightly
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- ciflow/mps
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- ciflow/nightly
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- ciflow/periodic
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- ciflow/trunk
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- ciflow/unstable

‎.github/requirements-gha-cache.txt‎

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@@ -9,7 +9,7 @@ boto3==1.19.12
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jinja2==3.0.1
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lintrunner==0.9.2
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ninja==1.10.0.post1
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pynvml==11.4.1
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nvidia-ml-py==11.525.84
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pyyaml==6.0
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requests==2.26
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rich==10.9.0

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

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@@ -9,7 +9,7 @@ numba==0.56.0; platform_machine == "arm64"
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numba<=0.49.1; platform_machine != "arm64"
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opt-einsum>=3.3
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psutil==5.9.1
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pynvml==11.4.1
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nvidia-ml-py==11.525.84
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pygments==2.12.0
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pytest==7.2.0
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pytest-xdist==3.0.2

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