1 | /* Copyright 2017 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 | #include "tensorflow/core/framework/op_kernel.h" |
17 | #include "tensorflow/core/lib/core/errors.h" |
18 | |
19 | namespace tensorflow { |
20 | namespace { |
21 | |
22 | // Refer to the Op description for detailed comments. |
23 | class GuaranteeConstOp : public OpKernel { |
24 | public: |
25 | explicit GuaranteeConstOp(OpKernelConstruction* ctx) : OpKernel(ctx) {} |
26 | |
27 | void Compute(OpKernelContext* ctx) override { |
28 | const DataType input_dtype = ctx->input_dtype(0); |
29 | OP_REQUIRES(ctx, input_dtype != DT_RESOURCE, |
30 | errors::InvalidArgument( |
31 | "Input tensor cannot be a resource variable handle." )); |
32 | const Tensor& input_tensor = ctx->input(0); |
33 | Tensor* output = nullptr; |
34 | if (!ctx->forward_input_to_output_with_shape(0, 0, input_tensor.shape(), |
35 | &output)) { |
36 | ctx->set_output(0, input_tensor); |
37 | } |
38 | } |
39 | |
40 | bool IsExpensive() override { return false; } |
41 | }; |
42 | |
43 | REGISTER_KERNEL_BUILDER(Name("GuaranteeConst" ).Device(DEVICE_CPU), |
44 | GuaranteeConstOp); |
45 | |
46 | } // namespace |
47 | } // namespace tensorflow |
48 | |