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 #include <vector>
21
22 #include "ops/sparse_softmax_cross_entropy_with_logits.h"
23 #include "ops/op_utils.h"
24 #include "utils/check_convert_utils.h"
25
26 namespace mindspore {
27 namespace ops {
Init(const bool is_grad)28 void SparseSoftmaxCrossEntropyWithLogits::Init(const bool is_grad) { this->set_is_grad(is_grad); }
29
set_is_grad(const bool is_grad)30 void SparseSoftmaxCrossEntropyWithLogits::set_is_grad(const bool is_grad) {
31 (void)this->AddAttr(kIsGrad, MakeValue(is_grad));
32 }
33
get_is_grad() const34 bool SparseSoftmaxCrossEntropyWithLogits::get_is_grad() const { return GetValue<bool>(GetAttr(kIsGrad)); }
35
SparseSoftmaxCrossEntropyWithLogitsInfer(const abstract::AnalysisEnginePtr &,const PrimitivePtr & primitive,const std::vector<AbstractBasePtr> & input_args)36 AbstractBasePtr SparseSoftmaxCrossEntropyWithLogitsInfer(const abstract::AnalysisEnginePtr &,
37 const PrimitivePtr &primitive,
38 const std::vector<AbstractBasePtr> &input_args) {
39 MS_EXCEPTION_IF_NULL(primitive);
40 auto prim_name = primitive->name();
41 const int64_t input_num = 2;
42 (void)CheckAndConvertUtils::CheckInteger("input numbers", SizeToLong(input_args.size()), kEqual, input_num,
43 prim_name);
44 for (const auto &item : input_args) {
45 MS_EXCEPTION_IF_NULL(item);
46 }
47 // infer shape
48 auto input_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
49 std::vector<int64_t> output_shape;
50 if (GetValue<bool>(primitive->GetAttr(kIsGrad)) != 0) {
51 output_shape = input_shape;
52 } else {
53 output_shape.push_back(1);
54 }
55 // infer type
56 auto output_type = input_args[0]->BuildType()->cast<TensorTypePtr>()->element();
57 return std::make_shared<abstract::AbstractTensor>(output_type, output_shape);
58 }
59 REGISTER_PRIMITIVE_C(kNameSparseSoftmaxCrossEntropyWithLogits, SparseSoftmaxCrossEntropyWithLogits);
60 } // namespace ops
61 } // namespace mindspore
62