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ci/official/utilities/setup.sh
# complex. Write a well-documented script under utilities/ to encapsulate the # functionality instead. tfrun() { "$@"; } # Run all "tfrun" commands under Docker. See setup_docker.sh for details if [[ "$TFCI_DOCKER_ENABLE" == 1 ]]; then source ./ci/official/utilities/setup_docker.sh fi # Generate an overview page describing the build if [[ "$TFCI_INDEX_HTML_ENABLE" == 1 ]]; then
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 26 00:33:34 GMT 2024 - 5.2K bytes - Viewed (1) -
ci/official/envs/linux_x86
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_cpu" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=tensorflow/build:2.16-python${TFCI_PYTHON_VERSION} TFCI_DOCKER_PULL_ENABLE=1 TFCI_DOCKER_REBUILD_ARGS="--build-arg PYTHON_VERSION=python$TFCI_PYTHON_VERSION --target=devel tensorflow/tools/tf_sig_build_dockerfiles" TFCI_INDEX_HTML_ENABLE=1
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.github/workflows/update-rbe.yml
# ============================================================================== # This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl # to reference the most recent versions of the SIG Build Docker images. name: Update RBE Configs on: workflow_dispatch: permissions: contents: read jobs: rbe: name: Update RBE Configs runs-on: ubuntu-latest
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Apr 10 15:40:34 GMT 2024 - 7.2K bytes - Viewed (0) -
ci/devinfra/docker_windows/Dockerfile
# Workaround for networking (b/112379377) was closed as won't fix for MTU setting. # Remaining lines handle making the metadata server on the VM accessible inside docker. RUN Get-NetAdapter | Where-Object Name -like "*Ethernet*" | ForEach-Object { \ & netsh interface ipv4 set subinterface $_.InterfaceIndex mtu=1460 store=persistent }; \
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ci/official/envs/no_upload
TFCI_ARTIFACT_FINAL_GCS_SA_PATH= TFCI_ARTIFACT_FINAL_GCS_URI= TFCI_ARTIFACT_FINAL_PYPI_ARGS= TFCI_ARTIFACT_FINAL_PYPI_ENABLE= TFCI_ARTIFACT_LATEST_GCS_URI= TFCI_ARTIFACT_STAGING_GCS_ENABLE= TFCI_ARTIFACT_STAGING_GCS_URI=
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README.md
See the [TensorFlow install guide](https://www.tensorflow.org/install) for the [pip package](https://www.tensorflow.org/install/pip), to [enable GPU support](https://www.tensorflow.org/install/gpu), use a [Docker container](https://www.tensorflow.org/install/docker), and [build from source](https://www.tensorflow.org/install/source). To install the current release, which includes support for
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.bazelrc
# Linux builds. Instructions are available in the official documentation: # https://www.tensorflow.org/install/source#install_clang_recommended_linux_only # Another good option is to use our Docker containers to build and test TF: # https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/tf_sig_build_dockerfiles. build:unsupported_cpu_linux --config=avx_linux
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RELEASE.md
[Python 2's EOL on January 1, 2020](https://www.python.org/dev/peps/pep-0373/#update). Coinciding with this change, new releases of [TensorFlow's Docker images](https://hub.docker.com/r/tensorflow/tensorflow/) provide Python 3 exclusively. Because all images now use Python 3, Docker tags containing `-py3` will no longer be provided and existing `-py3` tags like `latest-py3` will not be updated. ## Major Features and Improvements
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