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tensorflow/c/eager/c_api_experimental.h
// which is passed to the functions referenced in the TFE_CustomDevice struct // `device` (execute, delete_device, etc.). It can for example contain the // names of wrapped devices. // // There are currently no graph semantics implemented for registered custom // devices, so executing tf.functions which contain operations placed on the // custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must
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
// a tensor with the result. virtual Gradient* AggregateGradients( gtl::ArraySlice<Gradient*> gradient_tensors) const = 0; // Calls the passed-in backward function. // // `unneeded_gradients` contains sorted list of input indices for which a // gradient is not required. virtual Status CallBackwardFunction( const string& op_type, BackwardFunction* backward_function,
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/immediate_execution_context.h
virtual void ClearCachesAndThreadExecutors() = 0; // Initialize the step resource container for a training step. This is used // in current TF runtime. For tfrt, it is used by fallback op handler. virtual void StartStep() = 0; // Destroy the step resource container for a training step. virtual void EndStep() = 0; // Return the Eager Executor for current thread. Please note that Eager
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0)