mindspore2022/mindspore/core/ops/roll.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/roll.h"
#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 {
namespace {
abstract::ShapePtr InferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  auto prim_name = primitive->name();
  const int64_t input_num = 1;
  (void)CheckAndConvertUtils::CheckInteger("input numbers", SizeToLong(input_args.size()), kEqual, input_num,
                                           prim_name);
  auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
  auto axis = GetValue<int64_t>(primitive->GetAttr(kAxis));
  auto x_rank = SizeToLong(x_shape.size());
  CheckAndConvertUtils::CheckInRange("axis value", axis, kIncludeLeft, {-x_rank, x_rank}, prim_name);
  return std::make_shared<abstract::Shape>(x_shape);
}

TypePtr InferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
  for (const auto &item : input_args) {
    MS_EXCEPTION_IF_NULL(item);
  }
  const std::set<TypePtr> valid_types = {kFloat32, kFloat16, kInt32, kUInt32, kInt8, kUInt8};
  auto infer_type = input_args[0]->BuildType();
  return CheckAndConvertUtils::CheckTensorTypeValid("x type", infer_type, valid_types, prim->name());
}
}  // namespace

AbstractBasePtr RollInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
                          const std::vector<AbstractBasePtr> &input_args) {
  MS_EXCEPTION_IF_NULL(primitive);
  return abstract::MakeAbstract(InferShape(primitive, input_args), InferType(primitive, input_args));
}
REGISTER_PRIMITIVE_EVAL_IMPL(Roll, prim::kPrimRoll, RollInfer, nullptr, true);
}  // namespace ops
}  // namespace mindspore