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/argmin_max_infer.h"
18 #include "nnacl/infer/infer_register.h"
19
ArgMinMaxInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)20 int ArgMinMaxInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
21 OpParameter *parameter) {
22 int check_ret = CheckAugmentNull(inputs, inputs_size, outputs, outputs_size, parameter);
23 if (check_ret != NNACL_OK) {
24 return check_ret;
25 }
26 if (inputs_size != 1 || outputs_size > 2) {
27 return NNACL_ERR;
28 }
29
30 ArgMinMaxParameter *param = (ArgMinMaxParameter *)parameter;
31 const TensorC *input = inputs[0];
32 TensorC *output_1 = NULL;
33 TensorC *output_2 = NULL;
34 if (outputs_size == 2) {
35 output_1 = outputs[0];
36 output_2 = outputs[1];
37 } else if (param->out_value_) {
38 output_2 = outputs[0];
39 } else {
40 output_1 = outputs[0];
41 }
42
43 if (output_1 != NULL) {
44 output_1->format_ = input->format_;
45 output_1->data_type_ = kNumberTypeInt32;
46 }
47 if (output_2 != NULL) {
48 SetDataTypeFormat(output_2, input);
49 }
50 if (!InferFlag(inputs, inputs_size)) {
51 return NNACL_INFER_INVALID;
52 }
53 if (input->shape_size_ > MAX_SHAPE_SIZE) {
54 return NNACL_INPUT_TENSOR_ERROR;
55 }
56 int output_shape[MAX_SHAPE_SIZE] = {0};
57 size_t output_shape_size = 0;
58 ShapeSet(output_shape, &output_shape_size, input->shape_, input->shape_size_);
59 int input_shape_size = (int)input->shape_size_;
60 int axis = param->axis_ < 0 ? param->axis_ + input_shape_size : param->axis_;
61 if (axis >= input_shape_size || axis < 0) {
62 return NNACL_PARAM_INVALID;
63 }
64 if (param->topk_ == 1 && !param->keep_dims_) {
65 int erase_ret = ShapeErase(output_shape, &output_shape_size, axis);
66 if (erase_ret != NNACL_OK) {
67 return NNACL_ERR;
68 }
69 } else {
70 output_shape[axis] = param->topk_;
71 }
72
73 if (output_1 != NULL) {
74 SetShapeArray(output_1, output_shape, output_shape_size);
75 }
76 if (output_2 != NULL) {
77 SetShapeArray(output_2, output_shape, output_shape_size);
78 }
79 return NNACL_OK;
80 }
81
82 REG_INFER(ArgMin, PrimType_ArgMinFusion, ArgMinMaxInferShape)
83 REG_INFER(ArgMax, PrimType_ArgMaxFusion, ArgMinMaxInferShape)
84