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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/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/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) -
ci/official/containers/linux_arm64/builder.devtoolset/stringop_trunc.patch
@@ -47,29 +47,7 @@ #endif #if _STRING_ARCH_unaligned -/* If we can do unaligned memory accesses we must know the endianess. */ -# include <endian.h> # include <bits/types.h> - -# if __BYTE_ORDER == __LITTLE_ENDIAN -# define __STRING2_SMALL_GET16(src, idx) \ - (((const unsigned char *) (const char *) (src))[idx + 1] << 8 \ - | ((const unsigned char *) (const char *) (src))[idx])
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 42.9K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// // DeviceThread itself is thread-safe, in that StartExecute will block if there // is a pending execution. Since StartExecute is equivalent to grabbing a lock, // multiple DeviceThreads should always be accessed in the same order to avoid // deadlocks. class DeviceThread { public: // Starts a background thread waiting for `StartExecute`. explicit DeviceThread(const std::string& device, const bool is_async,
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/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)