1 | /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. |
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | // See docs in ../ops/parse_ops.cc. |
17 | |
18 | #include <errno.h> |
19 | #include <string> |
20 | |
21 | #include "tensorflow/core/framework/kernel_def_builder.h" |
22 | #include "tensorflow/core/framework/op_kernel.h" |
23 | #include "tensorflow/core/framework/tensor.h" |
24 | #include "tensorflow/core/lib/core/errors.h" |
25 | #include "tensorflow/core/lib/core/status.h" |
26 | #include "tensorflow/core/lib/strings/numbers.h" |
27 | |
28 | namespace tensorflow { |
29 | |
30 | static constexpr char kErrorMessage[] = |
31 | "StringToNumberOp could not correctly convert string: " ; |
32 | |
33 | template <typename OutputType> |
34 | class StringToNumberOp : public OpKernel { |
35 | public: |
36 | using OpKernel::OpKernel; |
37 | |
38 | void Compute(OpKernelContext* context) override { |
39 | // This is not a deep copy of the input tensor; they will share the same |
40 | // underlying storage. |
41 | const Tensor* input_tensor; |
42 | OP_REQUIRES_OK(context, context->input("string_tensor" , &input_tensor)); |
43 | const auto& input_flat = input_tensor->flat<tstring>(); |
44 | |
45 | Tensor* output_tensor = nullptr; |
46 | OP_REQUIRES_OK(context, |
47 | context->allocate_output("output" , input_tensor->shape(), |
48 | &output_tensor)); |
49 | auto output_flat = output_tensor->flat<OutputType>(); |
50 | |
51 | for (int i = 0; i < input_flat.size(); ++i) { |
52 | OP_REQUIRES( |
53 | context, |
54 | strings::SafeStringToNumeric<OutputType>(input_flat(i), |
55 | &output_flat(i)), |
56 | errors::InvalidArgument(kErrorMessage, input_flat(i).c_str())); |
57 | } |
58 | } |
59 | }; |
60 | |
61 | // Registers the currently supported output types. |
62 | #define REGISTER(type) \ |
63 | REGISTER_KERNEL_BUILDER(Name("StringToNumber") \ |
64 | .Device(DEVICE_CPU) \ |
65 | .TypeConstraint<type>("out_type"), \ |
66 | StringToNumberOp<type>) |
67 | REGISTER(float); |
68 | REGISTER(double); |
69 | REGISTER(int32); |
70 | REGISTER(int64_t); |
71 | #undef REGISTER |
72 | |
73 | } // namespace tensorflow |
74 | |