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tensorflow/c/eager/tape.h
// // Gradient is the type returned by gradient functions. In Python TF it's either // Tensor or IndexedSlices or None, which here we map to nullptr. Gradients need // to allow their size to be computed and they need to be passable to a backward // function and deleted (as the backprop code creates lots of gradients the user // is not interested in). //
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
// CustomDeviceOpHandler. virtual Status RegisterCustomDevice(const string& name, std::unique_ptr<CustomDevice> device) = 0; // Return FunctionLibraryDefinition. Transformations need to use it to use it // to invoke MLIR compiler passes. virtual FunctionLibraryDefinition* FuncLibDef() = 0; // Resets the global rendezvous used for functions. virtual void ResetGlobalRendezvousForFunction() = 0;
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)