1 /**
2 * Copyright 2020-2021 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 "ops/grad/max_pool_grad.h"
18 #include "ops/op_utils.h"
19
20 namespace mindspore {
21 namespace ops {
MaxPoolGradInfer(const abstract::AnalysisEnginePtr &,const PrimitivePtr & primitive,const std::vector<AbstractBasePtr> & input_args)22 AbstractBasePtr MaxPoolGradInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
23 const std::vector<AbstractBasePtr> &input_args) {
24 MS_EXCEPTION_IF_NULL(input_args[0]->BuildValue());
25 auto x1_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
26 auto tensor_type = input_args[0]->BuildType()->cast<TensorTypePtr>();
27 MS_EXCEPTION_IF_NULL(tensor_type);
28 auto element = tensor_type->element();
29 return std::make_shared<abstract::AbstractTensor>(element, x1_shape);
30 }
31 REGISTER_PRIMITIVE_C(kNameMaxPoolGrad, MaxPoolGrad);
32 } // namespace ops
33 } // namespace mindspore
34