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tensorflow/c/eager/c_api_experimental.h
// combined status. TF_CAPI_EXPORT extern void TFE_ContextAsyncWait(TFE_Context* ctx, TF_Status* status); // This function will block till the operation that produces `h` has // completed. This is only valid on local TFE_TensorHandles. The pointer // returned will be on the device in which the TFE_TensorHandle resides (so e.g.
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/c_api.h
TF_Status* status); // In this code: // TF_Output producer = TF_OperationInput(consumer); // There is an edge from producer.oper's output (given by // producer.index) to consumer.oper's input (given by consumer.index). TF_CAPI_EXPORT extern TF_Output TF_OperationInput(TF_Input oper_in);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
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) -
tensorflow/c/eager/c_api.h
// will block till the operation that produces `h` has completed. TF_CAPI_EXPORT extern const char* TFE_TensorHandleDeviceName( TFE_TensorHandle* h, TF_Status* status); // Returns the name of the device in whose memory `h` resides. // // This function will block till the operation that produces `h` has completed. TF_CAPI_EXPORT extern const char* TFE_TensorHandleBackingDeviceName(
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/gradients.h
// eager tensors. void DeleteTrace(const AbstractTensorHandle*); // Consumes the internal state of the tape (so cannot be called more than // once unless the tape is persistent) 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: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0)