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tensorflow/c/eager/c_api_experimental.h
// is for performance optimization by reusing an exiting unused op rather than // creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse // and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same
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
const std::function<void(BackwardFunction*)>& backward_function_deleter); void DeleteTrace(int64_t tensor_id); // Consumes the internal state of the tape (so cannot be called more than // once) and produces the gradient of the target tensors with respect to the // source tensors. The output gradients are used if not empty and not // null. The result is populated with one tensor per target element.
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)