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tensorflow/c/eager/parallel_device/parallel_device.cc
handle_methods.summarize = &ParallelTensorSummarize; return TensorHandlePtr(TFE_NewCustomDeviceTensorHandle( context, parallel_device_name.c_str(), t_released->dtype(), t_released, handle_methods, status)); } // For TFE_CustomDevice::copy_tensor_to_device in the parallel device // registration. // // Since this function is used to satisfy the TFE_CustomDevice C API,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
*/ AbstractTensorHandle* upstream_grad = grad_outputs[0]; // Get transpose attrs bool t_a; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_a", &t_a)); bool t_b; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_b", &t_b)); // Conj each input AbstractTensorHandle* conj_output; std::string name = "Conj_A_MatMul_Grad"; TF_RETURN_IF_ERROR(
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0)