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ci/official/wheel_test/README.md
[requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see [requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md) ### Prerequisites for Local Testing
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ci/official/utilities/generate_index_html.sh
# Usage: generate_index_html.sh /path/to/output/index.html cat > "$1" <<EOF <html> <head> <title>$(basename "$KOKORO_JOB_NAME")</title> </head> <body> <h1>TensorFlow Job Logs and Links</h1> <h2>Job Details</h2> <ul> <li>Job name: $KOKORO_JOB_NAME</li> <li>Job pool: $KOKORO_JOB_POOL</li> <li>Job ID: $KOKORO_BUILD_ID</li> <li>Current HEAD Piper Changelist, if any: cl/${KOKORO_PIPER_CHANGELIST:-not available}</li>
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ci/official/README.md
# are all settings for the scripts. TF's CI jobs are all made of a combination # of these env files. # # If you've clicked on a test result from our CI (via a dashboard or GitHub link), # click to "Invocation Details" and find BUILD_CONFIG, which will contain a TFCI # value in the "env_vars" list that you can choose to copy that environment. # Ex. 1: TFCI=py311,linux_x86_cuda,nightly_upload (nightly job)
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ci/official/requirements_updater/README.md
system-installed Python packages. \ Instead, an independent Python toolchain is registered, ensuring the right dependencies are always used. \ See https://github.com/bazelbuild/rules_python/ for more details. ### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time. By default, the lowest supported version is used.
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SECURITY.md
security vulnerabilities. Please include the following information along with your report: - A descriptive title - Your name and affiliation (if any). - A description of the technical details of the vulnerabilities. - A minimal example of the vulnerability. It is very important to let us know how we can reproduce your findings. For memory corruption triggerable in
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tensorflow/api_template.__init__.py
# Do an eager load for Keras' code so that any function/method that needs to # happen at load time will trigger, eg registration of optimizers in the # SavedModel registry. # See b/196254385 for more details. try: if _tf_uses_legacy_keras: importlib.import_module("tf_keras.src.optimizers") else: importlib.import_module("keras.src.optimizers") except (ImportError, AttributeError): pass
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CONTRIBUTING.md
tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/... ``` See [TensorFlow Builds](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/ci_build) for details. #### Running doctest for testable docstring There are two ways to test the code in the docstring locally: 1. If you are only changing the docstring of a class/function/method, then you
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RELEASE.md
which is a NumPy-compatible API for writing TF programs. See the [detailed guide](https://www.tensorflow.org/guide/tf_numpy) to learn more. Additional details below. * Adds Support for [TensorFloat-32](https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/) on Ampere based GPUs. TensorFloat-32, or TF32 for short, is a math mode for
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ci/official/utilities/setup.sh
echo 'behavior, create a new shell.' cat "$FROM_ENV" source "$FROM_ENV" rm "$FROM_ENV" fi fi # Mac builds have some specific setup needs. See setup_macos.sh for details if [[ "${OSTYPE}" =~ darwin* ]]; then source ./ci/official/utilities/setup_macos.sh fi # Create and expand to the full path of TFCI_OUTPUT_DIR export TFCI_OUTPUT_DIR=$(realpath "$TFCI_OUTPUT_DIR")
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ci/official/containers/linux_arm64/build.sh
# limitations under the License. # ============================================================================== # Builds the following Docker images for Linux ARM64. See the accompanying # Dockerfile for more details: # - gcr.io/tensorflow-sigs/build-arm64:jax-latest-multi-python # - gcr.io/tensorflow-sigs/build-arm64:tf-latest-multi-python set -exo pipefail function is_continuous_or_release() {
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