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 <set>
18 #include <map>
19 #include <string>
20
21 #include "ops/grad/binary_cross_entropy_grad.h"
22
23 namespace mindspore {
24 namespace ops {
25 namespace {
BinaryCrossEntroyGradInferShape(const PrimitivePtr & primitive,const std::vector<AbstractBasePtr> & input_args)26 abstract::ShapePtr BinaryCrossEntroyGradInferShape(const PrimitivePtr &primitive,
27 const std::vector<AbstractBasePtr> &input_args) {
28 MS_EXCEPTION_IF_NULL(primitive);
29 auto prim_name = primitive->name();
30 auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[kInputIndex0]->BuildShape())[kShape];
31 auto y_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[kInputIndex1]->BuildShape())[kShape];
32 auto weight_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[kInputIndex2]->BuildShape())[kShape];
33 CheckAndConvertUtils::Check("x shape", x_shape, kEqual, "y shape", y_shape, prim_name);
34 if (weight_shape.size() < 1) {
35 CheckAndConvertUtils::Check("y shape", y_shape, kEqual, "weight shape", weight_shape, prim_name);
36 }
37 return std::make_shared<abstract::Shape>(x_shape);
38 }
39
BinaryCrossEntroyGradInferType(const PrimitivePtr & prim,const std::vector<AbstractBasePtr> & input_args)40 TypePtr BinaryCrossEntroyGradInferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
41 const std::set<TypePtr> valid_types = {kFloat16, kFloat32};
42 std::map<std::string, TypePtr> types;
43 (void)types.emplace("x_shape", input_args[kInputIndex0]->BuildType());
44 (void)types.emplace("y_shape", input_args[kInputIndex1]->BuildType());
45 auto infer_type = CheckAndConvertUtils::CheckTensorTypeSame(types, valid_types, prim->name());
46 if (input_args[kInputIndex3]->BuildType() != nullptr) {
47 (void)types.emplace("x_shape", input_args[kInputIndex0]->BuildType());
48 (void)types.emplace("weight_shape", input_args[kInputIndex2]->BuildType());
49 infer_type = CheckAndConvertUtils::CheckTensorTypeSame(types, valid_types, prim->name());
50 }
51 return infer_type;
52 }
53 } // namespace
Init(const Reduction & reduction)54 void BinaryCrossEntropyGrad::Init(const Reduction &reduction) { set_reduction(reduction); }
55
set_reduction(const Reduction & reduction)56 void BinaryCrossEntropyGrad::set_reduction(const Reduction &reduction) {
57 int64_t swi = reduction;
58 (void)this->AddAttr(kReduction, MakeValue(swi));
59 }
get_reduction() const60 Reduction BinaryCrossEntropyGrad::get_reduction() const {
61 auto value_ptr = GetAttr(kReduction);
62 return Reduction(GetValue<int64_t>(value_ptr));
63 }
64
BinaryCrossEntropyGradInfer(const abstract::AnalysisEnginePtr &,const PrimitivePtr & primitive,const std::vector<AbstractBasePtr> & input_args)65 AbstractBasePtr BinaryCrossEntropyGradInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
66 const std::vector<AbstractBasePtr> &input_args) {
67 MS_EXCEPTION_IF_NULL(primitive);
68 for (const auto &item : input_args) {
69 MS_EXCEPTION_IF_NULL(item);
70 }
71 const int64_t input_num = 4;
72 (void)CheckAndConvertUtils::CheckInteger("BinaryCrossEntropyGrad infer", SizeToLong(input_args.size()), kGreaterEqual,
73 input_num, primitive->name());
74 return std::make_shared<abstract::AbstractTensor>(BinaryCrossEntroyGradInferType(primitive, input_args),
75 BinaryCrossEntroyGradInferShape(primitive, input_args));
76 }
77 REGISTER_PRIMITIVE_C(kNameBinaryCrossEntropyGrad, BinaryCrossEntropyGrad);
78 } // namespace ops
79 } // namespace mindspore
80