1 /**
2 * Copyright 2021 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/power_infer.h"
18 #include "nnacl/infer/infer_register.h"
19 #include "nnacl/tensor_c_utils.h"
20
PowerInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)21 int PowerInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
22 OpParameter *parameter) {
23 int check_ret = CheckAugmentWithMinSize(inputs, inputs_size, outputs, outputs_size, parameter, 1, 1);
24 if (check_ret != NNACL_OK) {
25 return check_ret;
26 }
27
28 const TensorC *x_tensor = inputs[0];
29 TensorC *exp_tensor = NULL;
30 if (inputs_size == 2) {
31 exp_tensor = (TensorC *)inputs[1];
32 PowParameter *param = (PowParameter *)parameter;
33 float *exp_data = (float *)(exp_tensor->data_);
34 if (exp_data == NULL) {
35 return NNACL_INFER_INVALID;
36 }
37 param->power_ = *exp_data;
38 }
39 TensorC *output_tensor = outputs[0];
40
41 SetDataTypeFormat(output_tensor, x_tensor);
42 if (!InferFlag(inputs, inputs_size)) {
43 return NNACL_INFER_INVALID;
44 }
45 if (exp_tensor != NULL) {
46 bool exp_x_equal = ShapeEqual(exp_tensor->shape_, exp_tensor->shape_size_, x_tensor->shape_, x_tensor->shape_size_);
47 if (!exp_x_equal && GetElementNum(exp_tensor) != 1) {
48 return NNACL_INPUT_TENSOR_ERROR;
49 }
50 }
51
52 SetShapeTensor(output_tensor, x_tensor);
53 return NNACL_OK;
54 }
55
56 REG_INFER(Pow, PrimType_PowFusion, PowerInferShape)
57