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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 "ops/rank.h"
18 
19 namespace mindspore {
20 namespace ops {
21 namespace {
RankInferType(const PrimitivePtr & prim,const std::vector<AbstractBasePtr> & input_args)22 TypePtr RankInferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
23   MS_EXCEPTION_IF_NULL(prim);
24   auto op_name = prim->name();
25   MS_EXCEPTION_IF_NULL(input_args[0]);
26   auto infer_dtype = input_args[0]->BuildType();
27   (void)CheckAndConvertUtils::CheckTensorTypeValid("x", infer_dtype, {kTensorType}, op_name);
28   return kTypeNone;
29 }
30 }  // namespace
RankInfer(const abstract::AnalysisEnginePtr &,const PrimitivePtr & primitive,const std::vector<AbstractBasePtr> & input_args)31 AbstractBasePtr RankInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
32                           const std::vector<AbstractBasePtr> &input_args) {
33   std::vector<int64_t> infer_shape;
34   return std::make_shared<abstract::AbstractTensor>(RankInferType(primitive, input_args), infer_shape);
35 }
36 REGISTER_PRIMITIVE_C(kNameRank, Rank);
37 }  // namespace ops
38 }  // namespace mindspore
39