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ci/official/utilities/setup_docker.sh
if [[ "$TFCI_DOCKER_PULL_ENABLE" == 1 ]]; then # Simple retry logic for docker-pull errors. Sleeps for 15s if a pull fails. # Pulling an already-pulled container image will finish instantly, so # repeating the command costs nothing. docker pull "$TFCI_DOCKER_IMAGE" || sleep 15 docker pull "$TFCI_DOCKER_IMAGE" || sleep 15 docker pull "$TFCI_DOCKER_IMAGE" fi if [[ "$TFCI_DOCKER_REBUILD_ENABLE" == 1 ]]; then
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 26 15:27:59 GMT 2024 - 1.8K bytes - Viewed (0) -
ci/official/wheel_test/README.md
[requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md) ### Prerequisites for Local Testing To run tests locally, follow these steps: 1. Navigate to the relevant directory: ``` cd ci/official/wheel_test ``` 2. Run a script for creating requirements file: ```
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 31 18:17:57 GMT 2023 - 3.3K bytes - Viewed (0) -
.github/workflows/issue-on-pr-rollback.yml
contents: read issues: write pull-requests: read if: | github.repository == 'tensorflow/tensorflow' && startsWith(github.event.head_commit.message, 'Rollback of PR #') steps: - name: Checkout repo uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Create a new Github Issue
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 16:40:29 GMT 2023 - 1.5K bytes - Viewed (0) -
.github/workflows/arm-ci.yml
runs-on: [self-hosted, linux, ARM64] strategy: matrix: pyver: ['3.10'] steps: - name: Stop old running containers (if any) shell: bash run: | running_containers=$(docker ps -q) && \ if [[ $running_containers == "" ]]; then
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Feb 07 17:41:21 GMT 2024 - 2.2K bytes - Viewed (0) -
ci/official/containers/linux_arm64/Dockerfile
COPY cuda.packages.txt /cuda.packages.txt RUN /setup.sources.sh && /setup.packages.sh /devel.packages.txt # Install various tools. # - bats: bash unit testing framework # NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break # - bazelisk: always use the correct bazel version # - buildifier: clean bazel build deps # - buildozer: clean bazel build deps
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Jan 08 09:32:19 GMT 2024 - 4.1K bytes - Viewed (1) -
.github/workflows/release-branch-cherrypick.yml
title: '${{ github.event.inputs.release_branch }} cherry-pick: ${{ steps.cherrypick.outputs.SHORTSHA }} "${{ steps.cherrypick.outputs.TITLE }}"' committer: TensorFlow Release Automation <******@****.***> token: ${{ secrets.JENKINS_TOKEN }} base: ${{ github.event.inputs.release_branch }} branch: ${{ github.event.inputs.release_branch }}-${{ steps.cherrypick.outputs.SHORTSHA }} reviewers: learning-to-play
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 14:49:29 GMT 2023 - 3.1K bytes - Viewed (0) -
ci/official/requirements_updater/README.md
``` bash updater.sh ``` ## How to add a new Python version Note: Updating the [rules-python](https://github.com/bazelbuild/rules_python/releases) version may be required before going through the steps below. This is due to the new Python versions becoming available through `rules-python`. \ See [here](https://github.com/tensorflow/tensorflow/commit/f91457f258fdd78f693044a57efa63a38335d1de), and
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.github/workflows/update-nightly.yml
permissions: {} jobs: master-to-nightly: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: ubuntu-latest permissions: contents: write steps: - uses: zofrex/mirror-branch@a8809f0b42f9dfe9b2c5c2162a46327c23d15266 # v1.0.3 name: Set nightly branch to master HEAD with:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 16:45:56 GMT 2023 - 1.2K bytes - Viewed (0) -
ci/official/README.md
# # Docker is enabled by default on Linux. You may disable it if you prefer: # export TFCI=py311,linux_x86,no_docker # Advanced: Use Remote Build Execution (RBE) (internal developers only) # # RBE dramatically speeds up builds and testing. It also gives you a # public URL to share your build results with collaborators. However, # it is only available to a limited set of internal TensorFlow developers. #
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tensorflow/c/eager/c_api_unified_experimental.h
// ----------------------------------------------------------------------------- // A TF_ExecutionContext stores knowledge about how to execute an operation. // E.g. it could know whether we're in eager mode or graph mode, keeps track // of gradient tapes, etc. typedef struct TF_ExecutionContext TF_ExecutionContext; // A TF_AbstractTensor is an input to an operation. E.g. it could be a union
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