diff options
Diffstat (limited to 'tests/validation_old/Reference.h')
| -rw-r--r-- | tests/validation_old/Reference.h | 316 |
1 files changed, 316 insertions, 0 deletions
diff --git a/tests/validation_old/Reference.h b/tests/validation_old/Reference.h new file mode 100644 index 0000000000..698b60e96b --- /dev/null +++ b/tests/validation_old/Reference.h @@ -0,0 +1,316 @@ +/* + * 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__ */ |