mindspore2022/mindspore/core/ops/maximum.cc

/**
 * Copyright 2020 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include <map>
#include <string>
#include "ops/maximum.h"
#include "ops/op_utils.h"
#include "utils/check_convert_utils.h"

namespace mindspore {
namespace ops {
namespace {
abstract::ShapePtr InferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  auto op_name = primitive->name();
  return BroadCastInferShape(op_name, input_args);
}

TypePtr InferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
  for (const auto &item : input_args) {
    MS_EXCEPTION_IF_NULL(item);
  }
  std::map<std::string, TypePtr> types;
  types.emplace("x", input_args[0]->BuildType());
  types.emplace("y", input_args[1]->BuildType());
  return CheckAndConvertUtils::CheckTensorTypeSame(types, common_valid_types, prim->name());
}
}  // namespace

AbstractBasePtr MaximumInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
                             const std::vector<AbstractBasePtr> &input_args) {
  return std::make_shared<abstract::AbstractTensor>(InferType(primitive, input_args),
                                                    InferShape(primitive, input_args)->shape());
}
REGISTER_PRIMITIVE_C(kNameMaximum, Maximum);
}  // namespace ops
}  // namespace mindspore