1 /**
2 * Copyright 2022 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 #include <stdio.h>
17 #include "nnacl/infer/encoder_layer_infer.h"
18 #include "nnacl/infer/infer_register.h"
19
EncoderLayerInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)20 int EncoderLayerInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
21 OpParameter *parameter) {
22 int check_ret = CheckAugmentWithMinSize(inputs, inputs_size, outputs, outputs_size, parameter, C9NUM, C1NUM);
23 if (check_ret != NNACL_OK) {
24 return check_ret;
25 }
26 const TensorC *input = inputs[FIRST_INPUT];
27 TensorC *output0 = outputs[FIRST_INPUT];
28 SetDataTypeFormat(output0, input);
29 if (!InferFlag(inputs, inputs_size)) {
30 return NNACL_INFER_INVALID;
31 }
32 SetShapeTensor(output0, input);
33 return NNACL_OK;
34 }
35
36 REG_INFER(EncoderLayer, PrimType_Inner_EncoderLayer, EncoderLayerInferShape)
37