114 lines
4.3 KiB
C++
114 lines
4.3 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "Utils.h"
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#include "tests/validation/Helpers.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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// Return the bilinear value at a specified coordinate with different border modes
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template <typename T>
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T bilinear_policy(const SimpleTensor<T> &in, Coordinates id, float xn, float yn, BorderMode border_mode, T constant_border_value)
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{
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const int idx = std::floor(xn);
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const int idy = std::floor(yn);
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const float dx = xn - idx;
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const float dy = yn - idy;
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const float dx_1 = 1.0f - dx;
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const float dy_1 = 1.0f - dy;
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const T border_value = constant_border_value;
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id.set(0, idx);
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id.set(1, idy);
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const float tl = tensor_elem_at(in, id, border_mode, border_value);
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id.set(0, idx + 1);
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id.set(1, idy);
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const float tr = tensor_elem_at(in, id, border_mode, border_value);
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id.set(0, idx);
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id.set(1, idy + 1);
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const float bl = tensor_elem_at(in, id, border_mode, border_value);
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id.set(0, idx + 1);
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id.set(1, idy + 1);
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const float br = tensor_elem_at(in, id, border_mode, border_value);
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return static_cast<T>(tl * (dx_1 * dy_1) + tr * (dx * dy_1) + bl * (dx_1 * dy) + br * (dx * dy));
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}
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template int8_t bilinear_policy(const SimpleTensor<int8_t> &in, Coordinates id, float xn, float yn, BorderMode border_mode, int8_t constant_border_value);
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template uint8_t bilinear_policy(const SimpleTensor<uint8_t> &in, Coordinates id, float xn, float yn, BorderMode border_mode, uint8_t constant_border_value);
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template int16_t bilinear_policy(const SimpleTensor<int16_t> &in, Coordinates id, float xn, float yn, BorderMode border_mode, int16_t constant_border_value);
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template half bilinear_policy(const SimpleTensor<half> &in, Coordinates id, float xn, float yn, BorderMode border_mode, half constant_border_value);
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template float bilinear_policy(const SimpleTensor<float> &in, Coordinates id, float xn, float yn, BorderMode border_mode, float constant_border_value);
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RawTensor transpose(const RawTensor &src, int chunk_width)
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{
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// Create reference
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TensorShape dst_shape(src.shape());
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dst_shape.set(0, src.shape().y() * chunk_width);
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dst_shape.set(1, std::ceil(src.shape().x() / static_cast<float>(chunk_width)));
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RawTensor dst{ dst_shape, src.data_type() };
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// Compute reference
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uint8_t *out_ptr = dst.data();
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for(int i = 0; i < dst.num_elements(); i += chunk_width)
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{
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Coordinates coord = index2coord(dst.shape(), i);
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size_t coord_x = coord.x();
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coord.set(0, coord.y() * chunk_width);
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coord.set(1, coord_x / chunk_width);
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const int num_elements = std::min<int>(chunk_width, src.shape().x() - coord.x());
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std::copy_n(static_cast<const uint8_t *>(src(coord)), num_elements * src.element_size(), out_ptr);
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out_ptr += chunk_width * dst.element_size();
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}
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return dst;
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}
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bool valid_bilinear_policy(float xn, float yn, int width, int height, BorderMode border_mode)
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{
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if(border_mode != BorderMode::UNDEFINED)
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{
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return true;
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}
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if((0 <= yn + 1) && (yn + 1 < height) && (0 <= xn + 1) && (xn + 1 < width))
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{
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return true;
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}
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return false;
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}
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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