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Diffstat (limited to 'tests/SimpleTensor.h')
-rw-r--r-- | tests/SimpleTensor.h | 344 |
1 files changed, 344 insertions, 0 deletions
diff --git a/tests/SimpleTensor.h b/tests/SimpleTensor.h new file mode 100644 index 0000000000..ea955fa730 --- /dev/null +++ b/tests/SimpleTensor.h @@ -0,0 +1,344 @@ +/* + * 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_SIMPLE_TENSOR_H__ +#define __ARM_COMPUTE_TEST_SIMPLE_TENSOR_H__ + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Utils.h" +#include "support/ToolchainSupport.h" +#include "tests/IAccessor.h" +#include "tests/Utils.h" + +#include <algorithm> +#include <array> +#include <cstddef> +#include <cstdint> +#include <functional> +#include <memory> +#include <stdexcept> +#include <utility> + +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. + */ +template <typename T> +class SimpleTensor : public IAccessor +{ +public: + /** Create an uninitialised tensor. */ + SimpleTensor() = default; + + /** 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 + */ + SimpleTensor(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). + */ + SimpleTensor(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. + */ + SimpleTensor(const SimpleTensor &tensor); + + /** Create a deep copy of the given @p tensor. + * + * @param[in] tensor To be copied tensor. + */ + SimpleTensor &operator =(SimpleTensor tensor); + SimpleTensor(SimpleTensor &&) = default; + ~SimpleTensor() = default; + + using value_type = T; + using Buffer = std::unique_ptr<value_type[]>; + + /** Return value at @p offset in the buffer. + * + * @param[in] offset Offset within the buffer. + */ + T &operator[](size_t offset); + + /** Return constant value at @p offset in the buffer. + * + * @param[in] offset Offset within the buffer. + */ + const T &operator[](size_t offset) const; + + /** Shape of the tensor. */ + TensorShape shape() const override; + + /** Size of each element in the tensor in bytes. */ + size_t element_size() const override; + + /** Total size of the tensor in bytes. */ + size_t size() const override; + + /** Image format of the tensor. */ + Format format() const override; + + /** Data type of the tensor. */ + DataType data_type() const override; + + /** Number of channels of the tensor. */ + int num_channels() const override; + + /** Number of elements of the tensor. */ + int num_elements() const override; + + /** Available padding around the tensor. */ + PaddingSize padding() const override; + + /** The number of bits for the fractional part of the fixed point numbers. */ + int fixed_point_position() const override; + + /** Constant pointer to the underlying buffer. */ + const T *data() const; + + /** Pointer to the underlying buffer. */ + T *data(); + + /** Read only access to the specified element. + * + * @param[in] coord Coordinates of the desired element. + * + * @return A pointer to the desired element. + */ + const void *operator()(const Coordinates &coord) const override; + + /** Access to the specified element. + * + * @param[in] coord Coordinates of the desired element. + * + * @return A pointer to the desired element. + */ + void *operator()(const Coordinates &coord) override; + + /** Swaps the content of the provided tensors. + * + * @param[in, out] tensor1 Tensor to be swapped. + * @param[in, out] tensor2 Tensor to be swapped. + */ + template <typename U> + friend void swap(SimpleTensor<U> &tensor1, SimpleTensor<U> &tensor2); + +protected: + Buffer _buffer{ nullptr }; + TensorShape _shape{}; + Format _format{ Format::UNKNOWN }; + DataType _data_type{ DataType::UNKNOWN }; + int _num_channels{ 0 }; + int _fixed_point_position{ 0 }; +}; + +template <typename T> +SimpleTensor<T>::SimpleTensor(TensorShape shape, Format format, int fixed_point_position) + : _buffer(nullptr), + _shape(shape), + _format(format), + _fixed_point_position(fixed_point_position) +{ + _buffer = support::cpp14::make_unique<T[]>(num_elements() * num_channels()); +} + +template <typename T> +SimpleTensor<T>::SimpleTensor(TensorShape shape, DataType data_type, int num_channels, int fixed_point_position) + : _buffer(nullptr), + _shape(shape), + _data_type(data_type), + _num_channels(num_channels), + _fixed_point_position(fixed_point_position) +{ + _buffer = support::cpp14::make_unique<T[]>(num_elements() * this->num_channels()); +} + +template <typename T> +SimpleTensor<T>::SimpleTensor(const SimpleTensor &tensor) + : _buffer(nullptr), + _shape(tensor.shape()), + _format(tensor.format()), + _data_type(tensor.data_type()), + _num_channels(tensor.num_channels()), + _fixed_point_position(tensor.fixed_point_position()) +{ + _buffer = support::cpp14::make_unique<T[]>(tensor.num_elements() * num_channels()); + std::copy_n(tensor.data(), num_elements() * num_channels(), _buffer.get()); +} + +template <typename T> +SimpleTensor<T> &SimpleTensor<T>::operator=(SimpleTensor tensor) +{ + swap(*this, tensor); + + return *this; +} + +template <typename T> +T &SimpleTensor<T>::operator[](size_t offset) +{ + return _buffer[offset]; +} + +template <typename T> +const T &SimpleTensor<T>::operator[](size_t offset) const +{ + return _buffer[offset]; +} + +template <typename T> +TensorShape SimpleTensor<T>::shape() const +{ + return _shape; +} + +template <typename T> +size_t SimpleTensor<T>::element_size() const +{ + return num_channels() * element_size_from_data_type(data_type()); +} + +template <typename T> +int SimpleTensor<T>::fixed_point_position() const +{ + return _fixed_point_position; +} + +template <typename T> +size_t SimpleTensor<T>::size() const +{ + const size_t size = std::accumulate(_shape.cbegin(), _shape.cend(), 1, std::multiplies<size_t>()); + return size * element_size(); +} + +template <typename T> +Format SimpleTensor<T>::format() const +{ + return _format; +} + +template <typename T> +DataType SimpleTensor<T>::data_type() const +{ + if(_format != Format::UNKNOWN) + { + return data_type_from_format(_format); + } + else + { + return _data_type; + } +} + +template <typename T> +int SimpleTensor<T>::num_channels() const +{ + switch(_format) + { + case Format::U8: + case Format::S16: + case Format::U16: + case Format::S32: + case Format::U32: + case Format::F32: + return 1; + case Format::RGB888: + return 3; + case Format::UNKNOWN: + return _num_channels; + default: + ARM_COMPUTE_ERROR("NOT SUPPORTED!"); + } +} + +template <typename T> +int SimpleTensor<T>::num_elements() const +{ + return _shape.total_size(); +} + +template <typename T> +PaddingSize SimpleTensor<T>::padding() const +{ + return PaddingSize(0); +} + +template <typename T> +const T *SimpleTensor<T>::data() const +{ + return _buffer.get(); +} + +template <typename T> +T *SimpleTensor<T>::data() +{ + return _buffer.get(); +} + +template <typename T> +const void *SimpleTensor<T>::operator()(const Coordinates &coord) const +{ + return _buffer.get() + coord2index(_shape, coord); +} + +template <typename T> +void *SimpleTensor<T>::operator()(const Coordinates &coord) +{ + return _buffer.get() + coord2index(_shape, coord); +} + +template <typename U> +void swap(SimpleTensor<U> &tensor1, SimpleTensor<U> &tensor2) +{ + // Use unqualified call to swap to enable ADL. But make std::swap available + // as backup. + using std::swap; + swap(tensor1._shape, tensor2._shape); + swap(tensor1._format, tensor2._format); + swap(tensor1._data_type, tensor2._data_type); + swap(tensor1._num_channels, tensor2._num_channels); + swap(tensor1._buffer, tensor2._buffer); +} +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_SIMPLE_TENSOR_H__ */ |