forked from huawei/mindspore2022
68 lines
2.5 KiB
C++
68 lines
2.5 KiB
C++
/**
|
|
* 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/rint.h"
|
|
|
|
#include <algorithm>
|
|
#include <map>
|
|
#include <set>
|
|
|
|
#include "ops/op_utils.h"
|
|
#include "utils/check_convert_utils.h"
|
|
#include "abstract/primitive_infer_map.h"
|
|
#include "mindapi/src/helper.h"
|
|
|
|
namespace mindspore {
|
|
namespace ops {
|
|
namespace {
|
|
abstract::ShapePtr RintInferShape(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 number", SizeToLong(input_args.size()), kGreaterEqual, input_num,
|
|
prim_name);
|
|
MS_EXCEPTION_IF_NULL(input_args[0]);
|
|
CheckAndConvertUtils::CheckArgs<abstract::AbstractTensor>(prim_name, input_args, 0);
|
|
auto x = input_args[0]->BuildShape();
|
|
MS_EXCEPTION_IF_NULL(x);
|
|
auto shape_element = x->cast<abstract::ShapePtr>();
|
|
MS_EXCEPTION_IF_NULL(shape_element);
|
|
return shape_element;
|
|
}
|
|
|
|
TypePtr RintInferType(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 = {kFloat16, kFloat32, kFloat64};
|
|
auto infer_type = input_args[0]->BuildType();
|
|
(void)CheckAndConvertUtils::CheckTensorTypeValid("x", infer_type, valid_types, prim->name());
|
|
return infer_type;
|
|
}
|
|
} // namespace
|
|
|
|
MIND_API_OPERATOR_IMPL(Rint, BaseOperator);
|
|
AbstractBasePtr RintInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
|
|
const std::vector<AbstractBasePtr> &input_args) {
|
|
MS_EXCEPTION_IF_NULL(primitive);
|
|
auto infer_type = RintInferType(primitive, input_args);
|
|
auto infer_shape = RintInferShape(primitive, input_args);
|
|
return abstract::MakeAbstract(infer_shape, infer_type);
|
|
}
|
|
REGISTER_PRIMITIVE_EVAL_IMPL(Rint, prim::kPrimRint, RintInfer, nullptr, true);
|
|
} // namespace ops
|
|
} // namespace mindspore
|