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tensorflow/c/eager/immediate_execution_tensor_handle.cc
std::string& summary) const { Status status; AbstractTensorPtr resolved( // TODO(allenl): Resolve should be const, and the caches that get updated // marked mutable. const_cast<ImmediateExecutionTensorHandle*>(this)->Resolve(&status)); if (!status.ok()) { return status; } summary = resolved->SummarizeValue(); return absl::OkStatus(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/c_api.cc
tensorflow::shape_inference::InferenceContext* ic, int num_dims, const int64_t* dims) { if (num_dims != -1) { std::vector<tensorflow::shape_inference::DimensionHandle> dim_vec; dim_vec.reserve(num_dims); for (int i = 0; i < num_dims; ++i) { dim_vec.push_back(ic->MakeDim(dims[i])); } return ic->MakeShape(dim_vec); } else { return ic->UnknownShape(); } }
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/eager/parallel_device/parallel_device_lib_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs; std::vector<ParallelTensor*> handle_inputs; handle_inputs.reserve(handles.size()); for (auto& handle : handles) { handle_inputs.push_back(handle.get()); } std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> read_op(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
// Note that we take the address of the elements in `all_input_tensors` // below. Allocate enough space so that no reallocation happens, which will // make the pointers invalid. all_input_tensors.reserve(num_inputs); for (int i = 0; i < num_inputs; ++i) { if (input_tensors[i] == nullptr) continue; all_input_tensors.emplace_back(); Tensor& input_tensor = all_input_tensors.back();
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/c_test_util.cc
return grads; } std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def) { std::vector<string> names; auto functions = graph_def.library().function(); names.reserve(functions.size()); for (const tensorflow::FunctionDef& func : functions) { names.push_back(func.signature().name()); } std::sort(names.begin(), names.end()); return names; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/eager/custom_device_test.cc
std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> resolved_value( TFE_TensorHandleResolve(var_value_unpacked, status.get()), TF_DeleteTensor); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); ASSERT_EQ(111., *static_cast<float*>(TF_TensorData(resolved_value.get()))); // Free the backing buffer for the variable.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
for (int i = 0; i < inputs.size(); i++) { input_ids[i] = ToId(inputs[i]); input_dtypes[i] = inputs[i]->DataType(); } std::vector<TapeTensor> tape_tensors; tape_tensors.reserve(outputs.size()); for (auto t : outputs) { tape_tensors.push_back(TapeTensor(t)); } GradientTape::RecordOperation( op_name, tape_tensors, input_ids, input_dtypes,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
return result; } std::vector<ParallelTensor*> parallel_inputs; std::vector<std::unique_ptr<ParallelTensor>> implicitly_broadcast_tensors; parallel_inputs.reserve(inputs.size()); implicitly_broadcast_tensors.reserve(inputs.size()); // not tight for (const auto& input : inputs) { if (absl::holds_alternative<TFE_TensorHandle*>(input)) { if (operation_name == std::string("_EagerConst")) {
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/eager/parallel_device/parallel_device_lib.cc
std::vector<std::unique_ptr<ParallelTensor>> per_device_outputs; per_device_outputs.reserve(first_op_output_count); for (int i = 0; i < first_op_output_count; ++i) { std::vector<TensorHandlePtr> components; components.reserve(underlying_devices_.size()); for (int j = 0; j < underlying_devices_.size(); ++j) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/c_api_function.cc
if (output_names) { output_names_vec.reserve(noutputs); for (int i = 0; i < noutputs; ++i) { output_names_vec.push_back(string(output_names[i])); } } // Process control output names. std::vector<string> control_output_names_vec; if (control_output_names) { control_output_names_vec.reserve(ncontrol_outputs); for (int i = 0; i < ncontrol_outputs; ++i) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)