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tensorflow/c/eager/c_api_experimental.h
// otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices // are free to set a bad status in order to require explicit placement. void (*execute)(const TFE_Op* op, int* num_outputs, TFE_TensorHandle** outputs, TF_Status* s, void* device_info); // Method to delete a device.
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/parallel_device/parallel_device_lib.h
// parallel. // // Conceptually this is a thread pool with one thread per device. It requires // less synchronization than a thread pool would for this task, since Execute // acquires each thread in order (and so only one Execute will schedule // blocking collective operations at a time), and avoids some dynamic // allocation/scheduling. // // TODO(allenl): Keep a map from outer thread to list of inner threads rather
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/tape.h
// from a backward gradient function. Fills `out_grads` corresponding to // `output_tensors`. `out_grads` must not be null. // // Executes the backward function in order to trace its gradient, which will // waste computation if executing eagerly (when graph building the unneeded // computation is pruned). Temporarily sets `backward_tape` so that
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.h
// can correspond to the data contained in another dimension in on-host // representation. The dimensions are indexed using the standard TensorFlow // major-to-minor order (slowest varying dimension first), // not the XLA's minor-to-major order. // On-device dimensions can be padded. TFE_TensorDebugInfoOnDeviceDim returns // the number of elements in a dimension after padding.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// be accessed while holding the Block's mu lock. The data vector should only /// be accessed after state == FINISHED, and it should never be modified. /// /// In order to prevent deadlocks, never grab the block-cache-wide mu_ lock /// AFTER grabbing any block's mu lock. It is safe to grab mu without locking /// mu_. struct Block { /// The block data.
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0)