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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/lstm_grad_infer.h"
18 #include "nnacl/infer/infer_register.h"
19 #include "nnacl/infer/common_infer.h"
20 #include "nnacl/fp32_grad/lstm_grad_fp32.h"
21 
LstmGradInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)22 int LstmGradInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
23                        OpParameter *parameter) {
24   int check_ret = CheckAugmentNullSize(inputs, inputs_size, outputs, outputs_size, parameter, 11, 4);
25   if (check_ret != NNACL_OK) {
26     return check_ret;
27   }
28 
29   const TensorC *input = inputs[0];
30   const TensorC *H = inputs[1];
31   const TensorC *C = inputs[2];
32   const TensorC *weight = inputs[3];
33   TensorC *output = outputs[0];
34   for (size_t i = 0; i < outputs_size; i++) {
35     SetDataTypeFormat(outputs[i], input);
36   }
37 
38   if (!InferFlag(inputs, inputs_size)) {
39     return NNACL_INFER_INVALID;
40   }
41 
42   if (input->shape_size_ != 3 || weight->shape_size_ != 3) {
43     return NNACL_ERR;
44   }
45 
46   SetShapeArray(output, input->shape_, input->shape_size_);
47   SetShapeArray(outputs[SECOND_INPUT], H->shape_, H->shape_size_);
48   SetShapeArray(outputs[THIRD_INPUT], C->shape_, C->shape_size_);
49   SetShapeArray(outputs[FOURTH_INPUT], weight->shape_, weight->shape_size_);
50 
51   return NNACL_OK;
52 }
53 
54 REG_INFER(LSTMGrad, PrimType_LSTMGrad, LstmGradInferShape)
55