1 /**
2 * Copyright 2020 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 <string>
19 #include <vector>
20 #include <map>
21 #include <memory>
22 #include "ops/addn.h"
23 #include "ops/op_utils.h"
24
25 namespace mindspore {
26 namespace ops {
27 namespace {
AddNInferShape(const PrimitivePtr & primitive,const std::vector<AbstractBasePtr> & input_args)28 abstract::ShapePtr AddNInferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
29 MS_EXCEPTION_IF_NULL(primitive);
30 if (!input_args[0]->isa<abstract::AbstractTuple>() && !input_args[0]->isa<abstract::AbstractList>()) {
31 MS_EXCEPTION(TypeError) << "The input of AddN must be list or tuple of tensors.";
32 }
33 auto elements = input_args[0]->isa<abstract::AbstractTuple>()
34 ? input_args[0]->cast<abstract::AbstractTuplePtr>()->elements()
35 : input_args[0]->cast<abstract::AbstractListPtr>()->elements();
36 (void)CheckAndConvertUtils::CheckInteger("concat element num", SizeToLong(elements.size()), kGreaterEqual, 1,
37 primitive->name());
38 (void)primitive->AddAttr("n", MakeValue(SizeToLong(elements.size())));
39 auto shape_0 = elements[0]->BuildShape();
40 auto element0_shape_map = CheckAndConvertUtils::ConvertShapePtrToShapeMap(shape_0);
41 for (size_t i = 0; i < elements.size(); ++i) {
42 auto shape = elements[i]->BuildShape();
43 if (shape->isa<abstract::Shape>() && shape_0->isa<abstract::Shape>()) {
44 const auto &shape_vec = shape->cast<abstract::ShapePtr>()->shape();
45 const auto &shape_0_vec = shape_0->cast<abstract::ShapePtr>()->shape();
46 if ((shape_vec == ShapeVector({1}) && shape_0_vec == ShapeVector()) ||
47 (shape_vec == ShapeVector() && shape_0_vec == ShapeVector({1}))) {
48 MS_LOG(DEBUG) << "The primitive[" << primitive->name() << "]'s input[" << i << "] shape: " << shape->ToString()
49 << " are consistent with the shape of input[0]" << shape_0->ToString();
50 continue;
51 }
52 }
53 if (*shape != *shape_0) {
54 MS_EXCEPTION(ValueError) << "The primitive[" << primitive->name() << "]'s input shape must be same, "
55 << "but got the shape of input[" << i << "]: " << shape->ToString()
56 << ", shape of input[0]:" << shape_0->ToString();
57 }
58 }
59 auto in_shape = element0_shape_map[kShape];
60 auto min_shape = element0_shape_map[kMinShape];
61 auto max_shape = element0_shape_map[kMaxShape];
62 return std::make_shared<abstract::Shape>(in_shape, min_shape, max_shape);
63 }
64
AddNInferType(const PrimitivePtr & prim,const std::vector<AbstractBasePtr> & input_args)65 TypePtr AddNInferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
66 MS_EXCEPTION_IF_NULL(prim);
67 auto prim_name = prim->name();
68 if (!input_args[0]->isa<abstract::AbstractTuple>() && !input_args[0]->isa<abstract::AbstractList>()) {
69 MS_EXCEPTION(TypeError) << "The input of AddN must be list or tuple of tensors.";
70 }
71 auto elements = input_args[0]->isa<abstract::AbstractTuple>()
72 ? input_args[0]->cast<abstract::AbstractTuplePtr>()->elements()
73 : input_args[0]->cast<abstract::AbstractListPtr>()->elements();
74 (void)CheckAndConvertUtils::CheckInteger("concat element num", SizeToLong(elements.size()), kGreaterEqual, 1,
75 prim->name());
76 std::map<std::string, TypePtr> types;
77 (void)types.emplace("element_0", elements[0]->BuildType());
78 for (size_t i = 0; i < elements.size(); ++i) {
79 if (elements[i]->BuildType()->type_id() == kObjectTypeUndeterminedType) {
80 return elements[0]->BuildType();
81 }
82 std::string element_i = "element_" + std::to_string(i);
83 (void)types.emplace(element_i, elements[i]->BuildType());
84 }
85 std::set<TypePtr> valid_types = common_valid_types;
86 valid_types.insert(kBool);
87 (void)CheckAndConvertUtils::CheckTensorTypeSame(types, valid_types, prim_name);
88 return elements[0]->BuildType();
89 }
90 } // namespace
AddNInfer(const abstract::AnalysisEnginePtr &,const PrimitivePtr & primitive,const std::vector<AbstractBasePtr> & input_args)91 AbstractBasePtr AddNInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
92 const std::vector<AbstractBasePtr> &input_args) {
93 MS_EXCEPTION_IF_NULL(primitive);
94 auto prim_name = primitive->name();
95 (void)CheckAndConvertUtils::CheckInteger("input number", SizeToLong(input_args.size()), kGreaterEqual, 1, prim_name);
96 for (const auto &item : input_args) {
97 MS_EXCEPTION_IF_NULL(item);
98 }
99 return abstract::MakeAbstract(AddNInferShape(primitive, input_args), AddNInferType(primitive, input_args));
100 }
101 REGISTER_PRIMITIVE_EVAL_IMPL(AddN, prim::kPrimAddN, AddNInfer, nullptr, true);
102 } // namespace ops
103 } // namespace mindspore
104