mindspore2022/mindspore/core/ops/ceil.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 <set>
#include <algorithm>
#include <memory>
#include <vector>

#include "ops/ceil.h"
#include "ops/op_utils.h"
#include "utils/check_convert_utils.h"
#include "abstract/primitive_infer_map.h"

namespace mindspore {
namespace ops {

AbstractBasePtr CeilInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
                          const std::vector<AbstractBasePtr> &input_args) {
  for (const auto &item : input_args) {
    MS_EXCEPTION_IF_NULL(item);
  }
  auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShape("x_shape", input_args[0]->BuildShape(), "Ceil");
  const std::set<TypeId> valid_types = {kNumberTypeFloat16, kNumberTypeFloat32};
  auto infer_type = input_args[0]->BuildType();
  CheckAndConvertUtils::CheckTensorTypeValid("x type", infer_type, valid_types, primitive->name());
  MS_EXCEPTION_IF_NULL(infer_type);
  auto tensor_type = infer_type->cast<TensorTypePtr>();
  MS_EXCEPTION_IF_NULL(tensor_type);
  auto data_type = tensor_type->element();
  MS_EXCEPTION_IF_NULL(data_type);
  return std::make_shared<abstract::AbstractTensor>(data_type, x_shape);
}
REGISTER_PRIMITIVE_EVAL_IMPL(Ceil, prim::kPrimCeil, CeilInfer);
REGISTER_PRIMITIVE_C(kNameCeil, Ceil);
}  // namespace ops
}  // namespace mindspore