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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
TF_Message(first_bad_status.get())); return result; } // For each output of the original operation, pack the per-device // TensorHandles we've computed into a single parallel TensorHandle. std::vector<std::unique_ptr<ParallelTensor>> per_device_outputs; per_device_outputs.reserve(first_op_output_count); for (int i = 0; i < first_op_output_count; ++i) {
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)