1 /**
2 * Copyright 2022 Huawei Technologies Co., Ltd
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #include "nnacl/infer/activation_grad_infer.h"
18 #include "nnacl/infer/infer_register.h"
19
ActivationGradInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)20 int ActivationGradInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
21 OpParameter *parameter) {
22 int check_ret = CheckAugmentWithMinSize(inputs, inputs_size, outputs, outputs_size, parameter, 2, 1);
23 if (check_ret != NNACL_OK) {
24 return check_ret;
25 }
26 const TensorC *input = inputs[0];
27 const TensorC *input_grad = inputs[1];
28 if (input->shape_size_ != input_grad->shape_size_) {
29 return NNACL_ERR;
30 }
31 for (size_t i = 0; i < input->shape_size_; i++) {
32 if (input->shape_[i] != input_grad->shape_[i]) {
33 return NNACL_ERR;
34 }
35 }
36
37 SetDataTypeFormat(outputs[0], inputs[0]);
38 if (!InferFlag(inputs, inputs_size)) {
39 return NNACL_INFER_INVALID;
40 }
41 SetShapeTensor(outputs[0], inputs[0]);
42 return NNACL_OK;
43 }
44
45 REG_INFER(ActivationGrad, PrimType_ActivationGrad, ActivationGradInferShape)
46