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RELEASE.md
semantics to match NumPy. * `tf.split` now takes arguments in a reversed order and with different keywords. In particular, we now match NumPy order as `tf.split(value, num_or_size_splits, axis)`. * `tf.sparse_split` now takes arguments in reversed order and with different keywords. In particular we now match NumPy order as `tf.sparse_split(sp_input, num_split, axis)`. NOTE: we have
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ci/devinfra/README.md
# DevInfra CI Directory > **Warning** This folder is still under construction. It is part of an ongoing > effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag
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.github/workflows/sigbuild-docker.yml
runs-on: ubuntu-latest strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] steps: - name: Delete unnecessary tools folder run: rm -rf /opt/hostedtoolcache - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Set up Docker Buildx
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ci/devinfra/docker_windows/Dockerfile
| Select ifIndex).ifIndex; \ New-NetRoute -DestinationPrefix 169.254.169.254/32 -InterfaceIndex $ifIndex -NextHop $gateway # Enable Long Paths for Win32 File/Folder APIs. RUN New-ItemProperty -Path HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem \ -Name LongPathsEnabled -Value 1 -PropertyType DWORD -Force # Install Visual C++ Redistributable for Visual Studio 2015-2022.
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ci/official/utilities/code_check_full.bats
"//tensorflow/tools/lib_package:jnilicenses_generate" } # This test ensures that all the targets built into the Python package include # their dependencies. It's a rewritten version of the "smoke test", an older # Python script that was very difficult to understand. See # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py @test "Pip package includes all required //tensorflow dependencies" {
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configure.py
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ci/README.md
The CI folder contains the configuration files and scripts used to build, test, and deploy TensorFlow. This folder is typically used by continuous integration (CI) tools to build and test TensorFlow whenever there is a change to the code. This folder is broken into subfolders that represent the level of support
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.github/workflows/sigbuild-docker-branch.yml
runs-on: ubuntu-latest strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] steps: - name: Delete unnecessary tools folder run: rm -rf /opt/hostedtoolcache - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Set up Docker Buildx
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ci/official/upload.sh
# can't be set inside the rest of the _upload envs. FINAL_URI="$TFCI_ARTIFACT_FINAL_GCS_URI/$TF_VER_FULL" gsutil -m rsync -d -r "$DOWNLOADS" "$FINAL_URI" # Also mirror the latest-uploaded folder to the "latest" directory. # GCS does not support symlinks. gsutil -m rsync -d -r "$FINAL_URI" "$TFCI_ARTIFACT_LATEST_GCS_URI" fi if [[ "$TFCI_ARTIFACT_FINAL_PYPI_ENABLE" == 1 ]]; then
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