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ci/official/README.md
# Official CI Directory Maintainer: TensorFlow and TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** ## TensorFlow's Official CI and Build/Test Scripts TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
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tensorflow/api_template.__init__.py
# ============================================================================== """ Top-level module of TensorFlow. By convention, we refer to this module as `tf` instead of `tensorflow`, following the common practice of importing TensorFlow via the command `import tensorflow as tf`. The primary function of this module is to import all of the public TensorFlow interfaces into a single place. The interfaces themselves are located in
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
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) -
RELEASE.md
* Added `keras.export.ExportArchive` class for low-level customization of the process of exporting SavedModel artifacts for inference. Both ways of exporting models are based on `tf.function` tracing and produce a TF program composed of TF ops. They are meant primarily for environments where the TF runtime is available, but not the Python interpreter, as is typical for production...
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tensorflow/BUILD
# build is static and TensorFlow symbols (in Python only) are loaded into the # global symbol table in order to support op registration. This means that # projects building with Bazel and importing TensorFlow as a dependency will not # depend on libtensorflow_framework.so unless they opt in. tf_cc_shared_library( name = "tensorflow_framework", additional_linker_inputs = [
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tensorflow/c/eager/tape.h
// Deletes the input tensor. virtual void DeleteGradient(Gradient* gradient) const = 0; }; // Traces the execution of operations, doing eager garbage collection, and // exporting a full trace so other code can do backpropagation. Not thread-safe. template <typename Gradient, typename BackwardFunction, typename TapeTensor> class GradientTape { public:
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
.bazelrc
# errors. # There is ongoing work on Bazel team's side to provide support for transitive # shared libraries. As part of migrating to transitive shared libraries, we # hope to provide a better mechanism for control over symbol exporting, and # then tackle this issue again. # # TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping # all library archives in -whole_archive -no_whole_archive.
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