mindspore2022/mindspore/core/ops/celu.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/celu.h"
#include <algorithm>
#include <memory>
#include <string>
#include <vector>
#include <set>

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

namespace mindspore {
namespace ops {
namespace {
abstract::ShapePtr InferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  auto prim_name = primitive->name();
  (void)CheckAndConvertUtils::CheckInteger("input numbers", input_args.size(), kGreaterEqual, 1, prim_name);
  auto shape_element = CheckAndConvertUtils::GetTensorInputShape(prim_name, input_args, 0);
  return shape_element;
}

TypePtr InferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(prim);
  auto prim_name = prim->name();
  (void)CheckAndConvertUtils::CheckInteger("CeLU input numbers", input_args.size(), kEqual, 1, prim_name);
  const std::set<TypePtr> valid_types = {kFloat16, kFloat32};
  MS_EXCEPTION_IF_NULL(input_args[0]);
  auto x_type = input_args[0]->BuildType();
  (void)CheckAndConvertUtils::CheckTensorTypeValid("input_x", x_type, valid_types, prim_name);
  return x_type;
}
}  // namespace

AbstractBasePtr CeLUInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
                          const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  auto type = InferType(primitive, input_args);
  auto shape = InferShape(primitive, input_args);
  return abstract::MakeAbstract(shape, type);
}

REGISTER_PRIMITIVE_EVAL_IMPL(CeLU, prim::kPrimCeLU, CeLUInfer, nullptr, true);
}  // namespace ops
}  // namespace mindspore