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
17 #include "nnacl/infer/dynamic_quant_infer.h"
18 #include "nnacl/infer/infer_register.h"
19 #include "nnacl/dynamic_quant_parameter.h"
20
DynamicQuantInferShape(const TensorC * const * inputs,size_t inputs_size,TensorC ** outputs,size_t outputs_size,OpParameter * parameter)21 int DynamicQuantInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
22 OpParameter *parameter) {
23 int check_ret = CheckAugmentWithMinSize(inputs, inputs_size, outputs, outputs_size, parameter, 1, 1);
24 if (check_ret != NNACL_OK) {
25 return check_ret;
26 }
27
28 const TensorC *input = inputs[0];
29 TensorC *output = outputs[0];
30
31 DynamicQuantParameter *param = (DynamicQuantParameter *)parameter;
32 output->data_type_ = param->dst_type_;
33 NNACL_CHECK_TRUE_RET(output->data_type_ > kNumberTypeBegin && output->data_type_ < kNumberTypeEnd, NNACL_ERR);
34 output->format_ = input->format_;
35 if (!InferFlag(inputs, inputs_size)) {
36 return NNACL_INFER_INVALID;
37 }
38 SetShapeTensor(output, input);
39 return NNACL_OK;
40 }
41
42 REG_INFER(DynamicQuant, PrimType_DynamicQuant, DynamicQuantInferShape)
43