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tensorflow/c/c_api.cc
for (int i = 0; i < noutputs; ++i) { output_names[i] = c_output_names[i]; } std::vector<string> target_oper_names(ntargets); for (int i = 0; i < ntargets; ++i) { target_oper_names[i] = c_target_oper_names[i]; } TF_Run_Helper(s->session, nullptr, run_options, input_pairs, output_names, c_outputs, target_oper_names, run_metadata, status); } void TF_PRunSetup(TF_DeprecatedSession* s,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
// If target is a directory return TF_FAILED_PRECONDITION. // Target might be missing, so don't error in that case. struct stat st; if (stat(dst, &st) != 0) { if (errno != ENOENT) { TF_SetStatusFromIOError(status, errno, dst); return; } } else if (S_ISDIR(st.st_mode)) { TF_SetStatus(status, TF_FAILED_PRECONDITION, "target path is a directory"); return; }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
// caller of event_mgr->ThenExecute() blocks on the completion of the callback // (as in the case of ConstOp kernel creation on GPU, which involves copying a // CPU tensor to GPU). // Setting a larger thread pool does not help with the Swift caller, as we use // a different TFE context for each thread of execution (for running graph // functions, and their send/recvs corountines).
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
new PassThroughGradientFunction); tape.RecordOperation(inputs, {exp_output}, gradient_function.release()); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets*/ {exp_output}, /*sources=*/inputs, /*output_gradients=*/{}, /*result=*/outputs));
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
TF_RETURN_IF_ERROR( forward_model(tape_ctx.get(), inputs, absl::MakeSpan(temp_outputs))); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets=*/temp_outputs, /*sources=*/inputs, /*output_gradients=*/{}, outputs)); for (auto temp_output : temp_outputs) {
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
ImmediateExecutionTensorHandle* handle, const tensorflow::string& target_device_name, ImmediateExecutionTensorHandle** result) override { TF_Status status; handle->Ref(); TFE_TensorHandle* result_handle = device_.copy_tensor_from_device( context_, tensorflow::wrap(handle), target_device_name.c_str(), &status, info_); handle->Unref();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/c_api_test.cc
TF_TString* data = static_cast<TF_TString*>(TF_TensorData(t)); for (int i = 0; i < batch_size; ++i) { TF_TString_Init(&data[i]); // The following input string length is large enough to make sure that // copy to tstring in large mode. std::string source = "This is the " + std::to_string(i + 1) + "th. data element\n"; TF_TString_Copy(&data[i], source.c_str(), source.length()); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3)