blob: 2480917c38bec6db0a6bb974efe1ab6d1a8753cc [file] [log] [blame]
/*
* Copyright (c) 2017 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef __ARM_COMPUTE_TEST_RAW_TENSOR_H__
#define __ARM_COMPUTE_TEST_RAW_TENSOR_H__
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include <cstddef>
#include <cstdint>
#include <memory>
namespace arm_compute
{
namespace test
{
/** Simple tensor object that stores elements in a consecutive chunk of memory.
*
* It can be created by either loading an image from a file which also
* initialises the content of the tensor or by explcitly specifying the size.
* The latter leaves the content uninitialised.
*
* Furthermore, the class provides methods to convert the tensor's values into
* different image format.
*/
class RawTensor final
{
public:
/** Create an uninitialised tensor of the given @p shape and @p format.
*
* @param[in] shape Shape of the new raw tensor.
* @param[in] format Format of the new raw tensor.
* @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers
*/
RawTensor(TensorShape shape, Format format, int fixed_point_position = 0);
/** Create an uninitialised tensor of the given @p shape and @p data type.
*
* @param[in] shape Shape of the new raw tensor.
* @param[in] data_type Data type of the new raw tensor.
* @param[in] num_channels (Optional) Number of channels (default = 1).
* @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers (default = 0).
*/
RawTensor(TensorShape shape, DataType data_type, int num_channels = 1, int fixed_point_position = 0);
/** Create a deep copy of the given @p tensor.
*
* @param[in] tensor To be copied tensor.
*/
RawTensor(const RawTensor &tensor);
/** Create a deep copy of the given @p tensor.
*
* @param[in] tensor To be copied tensor.
*/
RawTensor &operator =(RawTensor tensor);
RawTensor(RawTensor &&) = default;
~RawTensor() = default;
using BufferType = uint8_t;
using Buffer = std::unique_ptr<BufferType[]>;
/** Return value at @p offset in the buffer.
*
* @param[in] offset Offset within the buffer.
*/
BufferType &operator[](size_t offset);
/** Return constant value at @p offset in the buffer.
*
* @param[in] offset Offset within the buffer.
*/
const BufferType &operator[](size_t offset) const;
/** Shape of the tensor. */
TensorShape shape() const;
/** Size of each element in the tensor in bytes. */
size_t element_size() const;
/** Total size of the tensor in bytes. */
size_t size() const;
/** Image format of the tensor. */
Format format() const;
/** Data type of the tensor. */
DataType data_type() const;
/** Number of channels of the tensor. */
int num_channels() const;
/** Number of elements of the tensor. */
int num_elements() const;
/** The number of bits for the fractional part of the fixed point numbers. */
int fixed_point_position() const;
/** Constant pointer to the underlying buffer. */
const BufferType *data() const;
/** Pointer to the underlying buffer. */
BufferType *data();
/** Read only access to the specified element.
*
* @param[in] coord Coordinates of the desired element.
*
* @return A pointer to the desired element.
*/
const BufferType *operator()(const Coordinates &coord) const;
/** Access to the specified element.
*
* @param[in] coord Coordinates of the desired element.
*
* @return A pointer to the desired element.
*/
BufferType *operator()(const Coordinates &coord);
/** Swaps the content of the provided tensors.
*
* @param[in, out] tensor1 Tensor to be swapped.
* @param[in, out] tensor2 Tensor to be swapped.
*/
friend void swap(RawTensor &tensor1, RawTensor &tensor2);
private:
Buffer _buffer{ nullptr };
TensorShape _shape{};
Format _format{ Format::UNKNOWN };
DataType _data_type{ DataType::UNKNOWN };
int _num_channels{ 0 };
int _fixed_point_position{ 0 };
};
} // namespace test
} // namespace arm_compute
#endif /* __ARM_COMPUTE_TEST_RAW_TENSOR_H__ */