/**
 * Copyright 2020-2021 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 "ops/add.h"
#include <algorithm>
#include <memory>
#include <vector>
#include "ops/op_utils.h"
#include "utils/check_convert_utils.h"
#include "abstract/primitive_infer_map.h"

namespace mindspore {
namespace ops {
AbstractBasePtr AddInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
                         const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  auto prim_name = primitive->name();
  const int64_t input_num = 2;
  (void)CheckAndConvertUtils::CheckInteger("input number", SizeToLong(input_args.size()), kEqual, input_num, prim_name);
  for (const auto &item : input_args) {
    MS_EXCEPTION_IF_NULL(item);
  }
  auto output_shape = BroadCastInferShape(prim_name, input_args);

  std::map<std::string, TypePtr> types;
  (void)types.emplace("x", input_args[0]->BuildType());
  (void)types.emplace("y", input_args[1]->BuildType());
  auto output_type = CheckAndConvertUtils::CheckTensorTypeSame(types, common_valid_types, prim_name);
  return abstract::MakeAbstract(output_shape, output_type);
}
REGISTER_PRIMITIVE_C(kNameAdd, Add);
}  // namespace ops
}  // namespace mindspore