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tensorflow/c/eager/tape.h
tensors.reserve(output_tensors.size()); for (const TapeTensor& o : output_tensors) { // Note: the tensor can have already been watched and hence be in the tape, // so we cannot check that we're inserting it here. tensor_tape_[o.GetID()] = op_id; tensor_usage_[o.GetID()] = 1; tensors.push_back(o); } op_tape_[op_id] = OpTapeEntry<BackwardFunction, TapeTensor>{
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) -
tensorflow/c/eager/c_api_experimental.h
TFE_Executor*, TF_Status* status); // When an error happens, any pending operations are discarded, and newly issued // ops return an error. This call clears the error state and re-enables // execution of newly issued ops. // // Note that outputs of discarded ops remain in a corrupt state and should not // be used for future calls.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle = tensorflow::unwrap(handles[i]); if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) { // One of the inputs we're trying to pack is on a custom device. We'll let // the first custom device we see handle all of the packing. auto* custom_device_handle = tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
// allocation/scheduling. // // TODO(allenl): Keep a map from outer thread to list of inner threads rather // than a single list of threads so aliased nested parallel devices don't // re-use a thread. std::vector<std::unique_ptr<DeviceThread>> device_threads_; // A cancellation manager to use if the caller does not provide one. When ops
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) -
RELEASE.md
* Added a new `rerandomize_each_iteration` argument for the `tf.data.Dataset.random()` operation, which controls whether the sequence of generated random numbers should be re-randomized every epoch or not (the default behavior). If `seed` is set and `rerandomize_each_iteration=True`, the `random()` operation will produce a different (deterministic) sequence of numbers every epoch.
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/parallel_device/parallel_device_lib.cc
explicit DeviceThread(const std::string& device, const bool is_async, 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. //
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)