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/roi_pooling_infer.h"
18 #include "nnacl/infer/infer_register.h"
19 #include "nnacl/tensor_c_utils.h"
20
ROIPoolingInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)21 int ROIPoolingInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
22 OpParameter *parameter) {
23 int check_ret = CheckAugmentNullInputSize(inputs, inputs_size, outputs, outputs_size, parameter, 2);
24 if (check_ret != NNACL_OK) {
25 return check_ret;
26 }
27 if (outputs_size < 1) {
28 return NNACL_INPUT_TENSOR_ERROR;
29 }
30
31 const TensorC *input = inputs[0];
32 if (input->format_ != Format_NHWC) {
33 return NNACL_FORMAT_ERROR;
34 }
35 const TensorC *roi = inputs[1];
36 TensorC *output = outputs[0];
37 SetDataTypeFormat(output, input);
38 if (!InferFlag(inputs, inputs_size)) {
39 return NNACL_INFER_INVALID;
40 }
41
42 ROIPoolingParameter *param = (ROIPoolingParameter *)parameter;
43 output->shape_size_ = 4;
44 output->shape_[0] = roi->shape_[0];
45 output->shape_[1] = param->pooledH_;
46 output->shape_[2] = param->pooledW_;
47 output->shape_[3] = GetChannel(input);
48 return NNACL_OK;
49 }
50
51 REG_INFER(ROIPooling, PrimType_ROIPooling, ROIPoolingInferShape)
52