mindspore2022/mindspore/core/ops/log1p.cc

/**
 * Copyright 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/log1p.h"
#include <memory>
#include <set>
#include "ops/op_utils.h"
#include "utils/check_convert_utils.h"
#include "utils/tensor_construct_utils.h"
#include "abstract/primitive_infer_map.h"

namespace mindspore {
namespace ops {
// log1p
namespace {
abstract::ShapePtr Log1pInferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  auto shape_map = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape());
  auto in_shape = shape_map[kShape];
  auto min_shape = shape_map[kMinShape];
  auto max_shape = shape_map[kMaxShape];
  return std::make_shared<abstract::Shape>(in_shape, min_shape, max_shape);
}

TypePtr Log1pInferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(prim);
  auto prim_name = prim->name();
  // check
  std::set<TypePtr> valid_index_types = {kFloat16, kFloat32};
  auto x_type =
    CheckAndConvertUtils::CheckTensorTypeValid("x", input_args[0]->BuildType(), valid_index_types, prim_name);
  return x_type;
}
}  // namespace

AbstractBasePtr Log1pInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
                           const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  auto abs = std::make_shared<abstract::AbstractTensor>(Log1pInferType(primitive, input_args),
                                                        Log1pInferShape(primitive, input_args));
  return abs;
}
REGISTER_PRIMITIVE_EVAL_IMPL(Log1p, prim::kPrimLog1p, Log1pInfer, nullptr, true);
}  // namespace ops
}  // namespace mindspore