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diff --git a/tests/validation/Reference.h b/tests/validation/Reference.h deleted file mode 100644 index 698b60e96b..0000000000 --- a/tests/validation/Reference.h +++ /dev/null @@ -1,316 +0,0 @@ -/* - * 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_REFERENCE_REFERENCE_H__ -#define __ARM_COMPUTE_TEST_REFERENCE_REFERENCE_H__ - -#include "RawTensor.h" -#include "Types.h" -#include "arm_compute/runtime/Array.h" - -#include <map> -#include <vector> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -/** Interface for reference implementations. */ -class Reference -{ -public: - /** Compute reference sobel 3x3. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] border_mode Border mode to use for input tensor - * @param[in] constant_border_value Constant value to use if @p border_mode is constant - * - * @return Computed raw tensors along x and y axis. - */ - static std::pair<RawTensor, RawTensor> compute_reference_sobel_3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value); - /** Compute reference sobel 5x5. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] border_mode Border mode to use for input tensor - * @param[in] constant_border_value Constant value to use if @p border_mode is constant - * - * @return Computed raw tensors along x and y axis. - */ - static std::pair<RawTensor, RawTensor> compute_reference_sobel_5x5(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value); - /** Compute reference Harris corners. - * - * @param[in] shape Shape of input tensor - * @param[in] threshold Minimum threshold with which to eliminate Harris Corner scores (computed using the normalized Sobel kernel). - * @param[in] min_dist Radial Euclidean distance for the euclidean distance stage - * @param[in] sensitivity Sensitivity threshold k from the Harris-Stephens equation - * @param[in] gradient_size The gradient window size to use on the input. The implementation supports 3, 5, and 7 - * @param[in] block_size The block window size used to compute the Harris Corner score. The implementation supports 3, 5, and 7. - * @param[in] border_mode Border mode to use - * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT. - * - * @return Computed corners' keypoints. - */ - static KeyPointArray compute_reference_harris_corners(const TensorShape &shape, float threshold, float min_dist, float sensitivity, - int32_t gradient_size, int32_t block_size, BorderMode border_mode, uint8_t constant_border_value); - /** Compute min max location. - * - * @param[in] shape Shape of the input tensors. - * @param[in] dt_in Data type of input tensor. - * @param[out] min Minimum value of tensor - * @param[out] max Maximum value of tensor - * @param[out] min_loc Array with locations of minimum values - * @param[out] max_loc Array with locations of maximum values - * @param[out] min_count Number of minimum values found - * @param[out] max_count Number of maximum values found - * - * @return Computed minimum, maximum values and their locations. - */ - static void compute_reference_min_max_location(const TensorShape &shape, DataType dt_in, void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc, - uint32_t &min_count, - uint32_t &max_count); - /** Compute reference integral image. - * - * @param[in] shape Shape of the input and output tensors. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_integral_image(const TensorShape &shape); - /** Compute reference absolute difference. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_in0 Data type of first input tensor. - * @param[in] dt_in1 Data type of second input tensor. - * @param[in] dt_out Data type of the output tensor. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_absolute_difference(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out); - /** Compute reference accumulate. - * - * @param[in] shape Shape of the input and output tensors. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_accumulate(const TensorShape &shape); - /** Compute reference accumulate. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] shift A uint32_t value within the range of [0, 15] - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_accumulate_squared(const TensorShape &shape, uint32_t shift); - /** Compute reference accumulate. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] alpha A float value within the range of [0, 1] - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_accumulate_weighted(const TensorShape &shape, float alpha); - /** Compute reference arithmetic addition. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_in0 Data type of first input tensor. - * @param[in] dt_in1 Data type of second input tensor. - * @param[in] dt_out Data type of the output tensor. - * @param[in] convert_policy Overflow policy of the operation. - * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_arithmetic_addition(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, ConvertPolicy convert_policy, int fixed_point_position = 0); - /** Compute reference arithmetic subtraction. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_in0 Data type of first input tensor. - * @param[in] dt_in1 Data type of second input tensor. - * @param[in] dt_out Data type of the output tensor. - * @param[in] convert_policy Overflow policy of the operation. - * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_arithmetic_subtraction(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, ConvertPolicy convert_policy, int fixed_point_position = 0); - /** Compute reference box3x3 filter. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] border_mode BorderMode used by the input tensor. - * @param[in] constant_border_value Constant to use if @p border_mode == CONSTANT. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_box3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value); - /** Compute reference depth convert. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_in Data type of input tensor. - * @param[in] dt_out Data type of the output tensor. - * @param[in] policy Overflow policy of the operation. - * @param[in] shift Value for down/up conversions. Must be 0 <= shift < 8. - * @param[in] fixed_point_position_in (Optional) Fixed point position for the input tensor. - * @param[in] fixed_point_position_out (Optional) Fixed point position for the output tensor. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_depth_convert(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, - uint32_t shift, uint32_t fixed_point_position_in = 0, uint32_t fixed_point_position_out = 0); - /** Compute reference gaussian3x3 filter. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] border_mode BorderMode used by the input tensor - * @param[in] constant_border_value Constant to use if @p border_mode == CONSTANT - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_gaussian3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value); - /** Compute reference gaussian5x5 filter. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] border_mode BorderMode used by the input tensor. - * @param[in] constant_border_value Constant to use if @p border_mode == CONSTANT. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_gaussian5x5(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value); - /** Compute reference non linear filter function - * - * @param[in] shape Shape of the input and output tensors.Data type supported: U8 - * @param[in] function Non linear function to perform - * @param[in] mask_size Mask size. Supported sizes: 3, 5 - * @param[in] pattern Matrix pattern - * @param[in] mask The given mask. Will be used only if pattern is specified to PATTERN_OTHER - * @param[in] border_mode Strategy to use for borders. - * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_non_linear_filter(const TensorShape &shape, NonLinearFilterFunction function, unsigned int mask_size, - MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, uint8_t constant_border_value = 0); - /** Compute reference pixel-wise multiplication - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_in0 Data type of first input tensor. - * @param[in] dt_in1 Data type of second input tensor. - * @param[in] dt_out Data type of the output tensor. - * @param[in] scale Non-negative scale. - * @param[in] convert_policy Overflow policy of the operation. - * @param[in] rounding_policy Rounding policy of the operation. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy, - RoundingPolicy rounding_policy); - /** Compute reference pixel-wise multiplication. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_in0 Data type of first input tensor. - * @param[in] dt_in1 Data type of second input tensor. - * @param[in] dt_out Data type of the output tensor. - * @param[in] scale Scale to apply after multiplication. Must be positive. - * @param[in] fixed_point_position Fixed point position that expresses the number of bits for the fractional part of the number. - * @param[in] convert_policy Overflow policy of the operation. - * @param[in] rounding_policy Rounding policy of the operation. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_fixed_point_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, int fixed_point_position, - ConvertPolicy convert_policy, RoundingPolicy rounding_policy); - /** Compute reference Table Lookup. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_inout Data type of input/output tensor. - * @param[in] lut Input lookup table. - * - * @return Computed raw tensor. - */ - template <typename T> - static RawTensor compute_reference_table_lookup(const TensorShape &shape, DataType dt_inout, std::map<T, T> &lut); - /** Compute reference threshold. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] threshold Threshold. When the threshold type is RANGE, this is used as the lower threshold. - * @param[in] false_value value to set when the condition is not respected. - * @param[in] true_value value to set when the condition is respected. - * @param[in] type Thresholding type. Either RANGE or BINARY. - * @param[in] upper Upper threshold. Only used when the thresholding type is RANGE. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_threshold(const TensorShape &shape, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper); - - /** Compute reference Warp Perspective. - * - * @param[in] shape Shape of the input and output tensors. - * @param[out] valid_mask Valid mask tensor. - * @param[in] matrix The perspective matrix. Must be 3x3 of type float. - * @param[in] policy The interpolation type. - * @param[in] border_mode Strategy to use for borders. - * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_warp_perspective(const TensorShape &shape, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, - uint8_t constant_border_value); - - /** Compute reference batch normalization layer. - * - * @param[in] shape0 Shape of the input and output tensors. - * @param[in] shape1 Shape of the vector tensors. - * @param[in] dt Data type of all input and output tensors. - * @param[in] epsilon Small value to avoid division with zero. - * @param[in] fixed_point_position Fixed point position. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_batch_normalization_layer(const TensorShape &shape0, const TensorShape &shape1, DataType dt, float epsilon, int fixed_point_position = 0); - /** Compute reference roi pooling layer. - * - * @param[in] shape Shape of the input tensor. - * @param[in] dt Data type of input and output tensors. - * @param[in] rois Region of interest vector. - * @param[in] pool_info ROI Pooling Layer information. - */ - static RawTensor compute_reference_roi_pooling_layer(const TensorShape &shape, DataType dt, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info); - /** Compute reference fixed point operation. - * - * @param[in] shape Shape of the input and output tensors. - * @param[in] dt_in Data type of the input tensor. - * @param[in] dt_out Data type of the output tensor. - * @param[in] op Fixed point operation to perform. - * @param[in] fixed_point_position Number of bits for the fractional part of the fixed point numbers - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_fixed_point_operation(const TensorShape &shape, DataType dt_in, DataType dt_out, FixedPointOp op, int fixed_point_position); - -protected: - Reference() = default; - ~Reference() = default; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* __ARM_COMPUTE_TEST_REFERENCE_REFERENCE_H__ */ |