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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.
*/
/**
* @file TensorShapeUtils.h
* @brief This file contains utilities function of tensor shape
* @ingroup COM_AI_RUNTIME
*/
#ifndef __NNFW_TFLITE_TENSOR_SHAPE_UTILS_H__
#define __NNFW_TFLITE_TENSOR_SHAPE_UTILS_H__
#include "misc/tensor/Shape.h"
#include <vector>
namespace nnfw
{
namespace tflite
{
/**
* @brief Converts tensor::Shape into a vector
* @param[in] shape The tensor shape to be converted
* @return vector value of given shape object
*/
static inline std::vector<int32_t> as_dims(const nnfw::misc::tensor::Shape &shape)
{
std::vector<int32_t> dims;
for (uint32_t axis = 0; axis < shape.rank(); ++axis)
{
dims.emplace_back(shape.dim(axis));
}
return dims;
}
/**
* @brief Broadcasts between two given shapes
* @param[in] lhs_shape The left hand side shape
* @param[in] rhs_shape The right hand side shape
* @return The broadcasted shape
*/
nnfw::misc::tensor::Shape broadcast(const nnfw::misc::tensor::Shape &lhs_shape,
const nnfw::misc::tensor::Shape &rhs_shape);
} // namespace tflite
} // namespace nnfw
#endif // __NNFW_TFLITE_TENSOR_SHAPE_UTILS_H__
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