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RELEASE.md
[`tf.distribute.experimental.PreemptionCheckpointHandler`](https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/PreemptionCheckpointHandler) to handle worker preemption/maintenance and cluster-wise consistent error reporting for `tf.distribute.MultiWorkerMirroredStrategy`. Specifically, for the type of interruption with advance notice, it
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/eager/c_api_experimental.h
bool use_tfrt); // Returns the context_id from the EagerContext which is used by the // EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 23 06:55:53 GMT 2023 - 46.9K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/filesystem_interface.h
/// the 3 types of files. In all other cases, there is no need to modify the /// address of the opaque data pointer, hence the wrapper pointer is marked /// `const`. /// /// For consistency, the arguments on all these functions follow the same /// pattern: first we have the opaque pointer argument ("this" above), then the /// input arguments, then the in-out arguments (if any) and we finish the
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
TFE_TensorHandle* tensor, TF_Status* status) const; // Construct a parallel tensor consisting of the scalar values from `values`. template <typename DataType> std::unique_ptr<ParallelTensor> ScalarsFromSequence( absl::Span<const DataType> values, TFE_Context* context, TF_Status* status) const;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
const int in_flight_nodes_limit) : status_(TF_NewStatus()), // If the context's default exector is set to async, re-using that in // each thread would cause collectives to deadlock. For consistency we // create a new sync executor for every thread. // // TODO(allenl): We should have an async API that works with the // parallel device. device_(device), executor_(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/c_api.h
// In C++ bool is a keyword while in C99 bool is a macro defined // in stdbool.h. It is possible for the two to be inconsistent. // For example, neither the C99 nor the C++11 standard force a byte // size on the bool type, so the macro defined in stdbool.h could // be inconsistent with the bool keyword in C++. Thus, the use // of stdbool.h is avoided and unsigned char is used instead.
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