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