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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
#ifndef __NEURUN_COMPILER_TENSOR_INFO_H__
#define __NEURUN_COMPILER_TENSOR_INFO_H__
#include "model/operand/Shape.h"
#include "model/operand/TypeInfo.h"
#include <numeric>
namespace neurun
{
namespace compiler
{
class TensorInfo
{
public:
TensorInfo() = default;
public:
TensorInfo(const ::neurun::model::operand::Shape &shape,
const ::neurun::model::operand::TypeInfo &typeInfo)
: _shape(shape), _typeInfo(typeInfo)
{
// DO NOTHING
}
public:
const ::neurun::model::operand::Shape &shape() const { return _shape; }
const ::neurun::model::operand::TypeInfo &typeInfo() const { return _typeInfo; }
size_t total_size() const
{
const auto &dims = _shape.dims();
return std::accumulate(dims.begin(), dims.end(), 4, std::multiplies<size_t>());
}
private:
::neurun::model::operand::Shape _shape;
::neurun::model::operand::TypeInfo _typeInfo;
};
} // namespace compiler
} // namespace neurun
#endif // __NEURUN_COMPILER_TENSOR_INFO_H__
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