| /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| // See docs in ../ops/parse_ops.cc. |
| |
| #include <errno.h> |
| #include <string> |
| |
| #include "tensorflow/core/framework/kernel_def_builder.h" |
| #include "tensorflow/core/framework/op_kernel.h" |
| #include "tensorflow/core/framework/tensor.h" |
| #include "tensorflow/core/lib/core/errors.h" |
| #include "tensorflow/core/lib/core/status.h" |
| #include "tensorflow/core/lib/strings/numbers.h" |
| |
| namespace tensorflow { |
| |
| static constexpr char kErrorMessage[] = |
| "StringToNumberOp could not correctly convert string: "; |
| |
| template <typename OutputType> |
| class StringToNumberOp : public OpKernel { |
| public: |
| using OpKernel::OpKernel; |
| |
| void Compute(OpKernelContext* context) override { |
| // This is not a deep copy of the input tensor; they will share the same |
| // underlying storage. |
| const Tensor* input_tensor; |
| OP_REQUIRES_OK(context, context->input("string_tensor", &input_tensor)); |
| const auto& input_flat = input_tensor->flat<tstring>(); |
| |
| Tensor* output_tensor = nullptr; |
| OP_REQUIRES_OK(context, |
| context->allocate_output("output", input_tensor->shape(), |
| &output_tensor)); |
| auto output_flat = output_tensor->flat<OutputType>(); |
| |
| for (int i = 0; i < input_flat.size(); ++i) { |
| OP_REQUIRES( |
| context, |
| strings::SafeStringToNumeric<OutputType>(input_flat(i), |
| &output_flat(i)), |
| errors::InvalidArgument(kErrorMessage, input_flat(i).c_str())); |
| } |
| } |
| }; |
| |
| // Registers the currently supported output types. |
| #define REGISTER(type) \ |
| REGISTER_KERNEL_BUILDER(Name("StringToNumber") \ |
| .Device(DEVICE_CPU) \ |
| .TypeConstraint<type>("out_type"), \ |
| StringToNumberOp<type>) |
| REGISTER(float); |
| REGISTER(double); |
| REGISTER(int32); |
| REGISTER(int64); |
| #undef REGISTER |
| |
| } // namespace tensorflow |