mindspore2022/mindspore/core/ops/ceil.cc

/**
 * 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 <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) {
  MS_EXCEPTION_IF_NULL(primitive);
  const int64_t input_num = 1;
  CheckAndConvertUtils::CheckInputArgs(input_args, kEqual, input_num, primitive->name());
  auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
  const std::set<TypePtr> valid_types = {kFloat16, kFloat32};
  auto infer_type = input_args[0]->BuildType();
  auto data_type = CheckAndConvertUtils::CheckTensorTypeValid("x type", infer_type, valid_types, primitive->name());
  MS_EXCEPTION_IF_NULL(data_type);
  return std::make_shared<abstract::AbstractTensor>(data_type, x_shape);
}
REGISTER_PRIMITIVE_C(kNameCeil, Ceil);
}  // namespace ops
}  // namespace mindspore