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ci/official/README.md
# to transfer ownership to your user. # # 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,
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// `modular_filesystem_test.h` and extend the instantiation to also take as // argument an implementation for this method/a subclass factory (see // https://github.com/google/googletest/blob/master/googletest/docs/advanced.md#creating-value-parameterized-abstract-tests) std::string GetURIForPath(StringPiece path) { const std::string translated_name = tensorflow::io::JoinPath(root_dir_, path);
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tensorflow/c/c_api.cc
return ToOperation(iter->second); } } TF_Operation* TF_GraphNextOperation(TF_Graph* graph, size_t* pos) { if (*pos == 0) { // Advance past the first sentinel nodes in every graph (the source & sink). *pos += 2; } else { // Advance to the next node. *pos += 1; } mutex_lock l(graph->mu); while (*pos < static_cast<size_t>(graph->graph.num_node_ids())) {
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RELEASE.md
* SavedModels can now save custom gradients. Use the option `tf.saved_model.SaveOption(experimental_custom_gradients=True)` to enable this feature. The documentation in [Advanced autodiff](https://www.tensorflow.org/guide/advanced_autodiff#custom_gradients) has been updated. * Object metadata has now been deprecated and no longer saved to the SavedModel. * TF Core:
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tensorflow/c/c_api.h
// Creates a new operation - see `TF_NewOperation` for more details. // // The lock for `graph` must be held when calling this function. // // Unless implementing advanced behavior, like custom gradient functions, you // most likely need to call `TF_NewOperation` instead. TF_CAPI_EXPORT extern TF_OperationDescription* TF_NewOperationLocked(
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