/* * 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. */ #include "Utils.h" #include "tests/validation/Helpers.h" namespace arm_compute { namespace test { namespace validation { // Return the bilinear value at a specified coordinate with different border modes template T bilinear_policy(const SimpleTensor &in, Coordinates id, float xn, float yn, BorderMode border_mode, T constant_border_value) { const int idx = std::floor(xn); const int idy = std::floor(yn); const float dx = xn - idx; const float dy = yn - idy; const float dx_1 = 1.0f - dx; const float dy_1 = 1.0f - dy; const T border_value = constant_border_value; id.set(0, idx); id.set(1, idy); const float tl = tensor_elem_at(in, id, border_mode, border_value); id.set(0, idx + 1); id.set(1, idy); const float tr = tensor_elem_at(in, id, border_mode, border_value); id.set(0, idx); id.set(1, idy + 1); const float bl = tensor_elem_at(in, id, border_mode, border_value); id.set(0, idx + 1); id.set(1, idy + 1); const float br = tensor_elem_at(in, id, border_mode, border_value); return static_cast(tl * (dx_1 * dy_1) + tr * (dx * dy_1) + bl * (dx_1 * dy) + br * (dx * dy)); } template uint8_t bilinear_policy(const SimpleTensor &in, Coordinates id, float xn, float yn, BorderMode border_mode, uint8_t constant_border_value); template int16_t bilinear_policy(const SimpleTensor &in, Coordinates id, float xn, float yn, BorderMode border_mode, int16_t constant_border_value); template half bilinear_policy(const SimpleTensor &in, Coordinates id, float xn, float yn, BorderMode border_mode, half constant_border_value); template float bilinear_policy(const SimpleTensor &in, Coordinates id, float xn, float yn, BorderMode border_mode, float constant_border_value); RawTensor transpose(const RawTensor &src, int chunk_width) { // Create reference TensorShape dst_shape(src.shape()); dst_shape.set(0, src.shape().y() * chunk_width); dst_shape.set(1, std::ceil(src.shape().x() / static_cast(chunk_width))); RawTensor dst{ dst_shape, src.data_type() }; // Compute reference uint8_t *out_ptr = dst.data(); for(int i = 0; i < dst.num_elements(); i += chunk_width) { Coordinates coord = index2coord(dst.shape(), i); size_t coord_x = coord.x(); coord.set(0, coord.y() * chunk_width); coord.set(1, coord_x / chunk_width); const int num_elements = std::min(chunk_width, src.shape().x() - coord.x()); std::copy_n(static_cast(src(coord)), num_elements * src.element_size(), out_ptr); out_ptr += chunk_width * dst.element_size(); } return dst; } bool valid_bilinear_policy(float xn, float yn, int width, int height, BorderMode border_mode) { if(border_mode != BorderMode::UNDEFINED) { return true; } if((0 <= yn + 1) && (yn + 1 < height) && (0 <= xn + 1) && (xn + 1 < width)) { return true; } return false; } } // namespace validation } // namespace test } // namespace arm_compute