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/sigmoid_cross_entropy_with_logits_grad.h"
18 #include <string>
19 #include <algorithm>
20 #include <memory>
21 #include <set>
22 #include <vector>
23 #include "ops/op_utils.h"
24 #include "utils/check_convert_utils.h"
25 #include "abstract/primitive_infer_map.h"
26
27 namespace mindspore {
28 namespace ops {
SigmoidCrossEntropyWithLogitsGradInfer(const abstract::AnalysisEnginePtr &,const PrimitivePtr & primitive,const std::vector<AbstractBasePtr> & input_args)29 AbstractBasePtr SigmoidCrossEntropyWithLogitsGradInfer(const abstract::AnalysisEnginePtr &,
30 const PrimitivePtr &primitive,
31 const std::vector<AbstractBasePtr> &input_args) {
32 MS_EXCEPTION_IF_NULL(primitive);
33 auto prim_name = primitive->name();
34 const int64_t input_num = 3;
35 (void)CheckAndConvertUtils::CheckInteger("sigmoid_cross_entropy_with_logits_grad_infer",
36 SizeToLong(input_args.size()), kEqual, input_num, prim_name);
37
38 // Infer Shape
39 auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[kInputIndex0]->BuildShape())[kShape];
40 auto y_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[kInputIndex1]->BuildShape())[kShape];
41 auto dout_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[kInputIndex2]->BuildShape())[kShape];
42 CheckAndConvertUtils::Check("x_shape", x_shape, kEqual, "y_shape", y_shape, prim_name, TypeError);
43 CheckAndConvertUtils::Check("x_shape", x_shape, kEqual, "dout_shape", dout_shape, prim_name, TypeError);
44
45 // Infer type
46 const std::set<TypePtr> valid_types = {kBool, kInt, kInt8, kInt16, kInt32, kInt64, kUInt, kUInt8,
47 kUInt16, kUInt32, kUInt64, kFloat, kFloat16, kFloat32, kFloat64, kComplex64};
48 std::map<std::string, TypePtr> args;
49 (void)args.emplace("x_type", input_args[kInputIndex0]->BuildType());
50 (void)args.emplace("y_type", input_args[kInputIndex1]->BuildType());
51 (void)args.emplace("dout_type", input_args[kInputIndex2]->BuildType());
52 auto dout_type = CheckAndConvertUtils::CheckTensorTypeSame(args, valid_types, prim_name);
53 return std::make_shared<abstract::AbstractTensor>(dout_type, x_shape);
54 }
55 REGISTER_PRIMITIVE_C(kNameSigmoidCrossEntropyWithLogitsGrad, SigmoidCrossEntropyWithLogitsGrad);
56 } // namespace ops
57 } // namespace mindspore
58