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tensorflow/c/eager/parallel_device/parallel_device_lib.h
std::unique_ptr<ParallelTensor> CopyToParallelDevice(TFE_Context* context, TFE_TensorHandle* tensor, TF_Status* status) const; // Construct a parallel tensor consisting of the scalar values from `values`. template <typename DataType> std::unique_ptr<ParallelTensor> ScalarsFromSequence(
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) -
tensorflow/c/eager/tape.h
// TODO(apassos) consider narrowing down this interface. BackwardFunction* backward_function; // Should be called before deleting the backward function. TODO(apassos) use // unique_ptrs to ensure this happens. std::function<void(BackwardFunction*)> backward_function_deleter; }; // Map from tensor_id to internally-defined operation-id of the operation which
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
// Add `devices` into context's device manager. Context's device manager // will take ownership and maintain devices' lifetime. virtual Status AddDevices(std::vector<std::unique_ptr<Device>> devices) = 0; // Block until all pending nodes are finished. virtual Status AsyncWait() = 0; // Add a function (serialized FunctionDef protocol buffer) so that it can
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)