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/space_to_batch_infer.h"
18 #include "nnacl/infer/infer_register.h"
19
SpaceToBatchInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)20 int SpaceToBatchInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
21 OpParameter *parameter) {
22 int check_ret = CheckAugmentNullSize(inputs, inputs_size, outputs, outputs_size, parameter, 1, 1);
23 if (check_ret != NNACL_OK) {
24 return check_ret;
25 }
26
27 const TensorC *input = inputs[0];
28 if (input->format_ != Format_NHWC) {
29 return NNACL_FORMAT_ERROR;
30 }
31 SetDataTypeFormat(outputs[0], input);
32 SpaceToBatchParameter *param = (SpaceToBatchParameter *)parameter;
33 if (!InferFlag(inputs, inputs_size)) {
34 return NNACL_INFER_INVALID;
35 }
36 if (input->shape_size_ != 4) {
37 return NNACL_ERR;
38 }
39
40 int *block_shape = param->block_sizes_;
41 int block_shape_size = param->m_;
42 int *paddings = param->paddings_;
43 int padding_left = 0;
44 int padding_right = 0;
45 int block_w = 1;
46 if (block_shape_size == 2) {
47 padding_left = paddings[2];
48 padding_right = paddings[3];
49 block_w = block_shape[1];
50 }
51
52 NNACL_CHECK_ZERO_RETURN_ERR(block_shape[0]);
53 NNACL_CHECK_ZERO_RETURN_ERR(block_w);
54 NNACL_CHECK_INT_MUL_NOT_OVERFLOW(block_shape[0], block_w, NNACL_ERR);
55 NNACL_CHECK_INT_MUL_NOT_OVERFLOW(input->shape_[kNHWC_N], block_shape[0] * block_w, NNACL_ERR);
56 outputs[0]->shape_[kNHWC_N] = input->shape_[kNHWC_N] * (block_shape[0] * block_w);
57 outputs[0]->shape_[kNHWC_H] = (input->shape_[kNHWC_H] + paddings[0] + paddings[1]) / block_shape[0];
58 outputs[0]->shape_[kNHWC_W] = (input->shape_[kNHWC_W] + padding_left + padding_right) / block_w;
59 outputs[0]->shape_[kNHWC_C] = input->shape_[kNHWC_C];
60 outputs[0]->shape_size_ = input->shape_size_;
61 return NNACL_OK;
62 }
63
64 REG_INFER(SpaceToBatch, PrimType_SpaceToBatch, SpaceToBatchInferShape)
65