1 /**
2 * Copyright 2023 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/fse_decoder_infer.h"
18 #include "nnacl/infer/infer_register.h"
19
20 size_t kInputSize = 7;
21
FseDecoderInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)22 int FseDecoderInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
23 OpParameter *parameter) {
24 int check_ret = CheckAugmentWithMinSize(inputs, inputs_size, outputs, outputs_size, parameter, kInputSize, 1);
25 if (check_ret != NNACL_OK) {
26 return check_ret;
27 }
28 const TensorC *cen_input = inputs[4];
29 TensorC *output0 = outputs[FIRST_INPUT];
30 SetDataTypeFormat(output0, cen_input);
31
32 return NNACL_OK;
33 }
34
35 REG_INFER(FseDecode, PrimType_Inner_FseDecode, FseDecoderInferShape)
36