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/*
* Copyright (c) 2019 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 __LOCO_IR_TENSOR_SHAPE_H__
#define __LOCO_IR_TENSOR_SHAPE_H__
#include "loco/IR/Dimension.h"
#include <initializer_list>
#include <vector>
namespace loco
{
class TensorShape
{
public:
TensorShape() = default;
TensorShape(std::initializer_list<Dimension> dims) : _dims(dims.begin(), dims.end()) {}
public:
uint32_t rank(void) const { return _dims.size(); }
void rank(uint32_t r) { _dims.resize(r); }
const Dimension &dim(uint32_t axis) const { return _dims.at(axis); }
Dimension &dim(uint32_t axis) { return _dims.at(axis); }
private:
std::vector<Dimension> _dims;
};
/**
* @brief Return the number of elements in a tensor of given shape
*
* NOTE 1.
*
* "volume" returns 1 if the rank is 0.
*
* NOTE 2.
*
* "caller" SHOULD pass a valid shape that has no unknown dimension.
* - The behavior of "volume" on invalid is undefined.
*
*/
uint32_t element_count(const loco::TensorShape *tensor_shape);
} // namespace loco
#endif // __LOCO_IR_TENSOR_SHAPE_H__
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