/* * Copyright (c) 2022 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 "IndirectConv2dAddressPrecalculation.h" #include "arm_compute/core/Types.h" #include "tests/validation/Helpers.h" namespace arm_compute { namespace test { namespace validation { namespace reference { SimpleTensor indirect_conv2d_addr_precalculation(const TensorShape &shape_conv_src, const TensorShape &shape_conv_wei, const TensorShape &shape_conv_dst, const TensorShape &shape_dst, const PadStrideInfo &conv_info) { SimpleTensor out{ shape_dst, DataType::S32 }; constexpr unsigned int width_idx = 1; constexpr unsigned int heigh_idx = 2; const int src_conv_width = static_cast(shape_conv_src[width_idx]); // NHWC const int src_conv_height = static_cast(shape_conv_src[heigh_idx]); // NHWC const int dst_conv_width = static_cast(shape_conv_dst[width_idx]); // NHWC const int wei_conv_width = static_cast(shape_conv_wei[width_idx]); // NHWC const int wei_conv_height = static_cast(shape_conv_wei[heigh_idx]); // NHWC const int dst_width = static_cast(shape_dst[0]); const int dst_height = static_cast(shape_dst[1]); const int dst_batch = static_cast(shape_dst[2]); const int ks = wei_conv_width * wei_conv_height; const int stride_x = static_cast(conv_info.stride().first); const int stride_y = static_cast(conv_info.stride().second); const int pad_left = static_cast(conv_info.pad_left()); const int pad_top = static_cast(conv_info.pad_top()); const int m0 = dst_width / ks; for(int z = 0; z < dst_batch; ++z) { for(int y = 0; y < dst_height; ++y) { const int mout = y * m0; for(int ki = 0; ki < ks; ++ki) { const int xk = ki % wei_conv_width; const int yk = ki / wei_conv_width; for(int mi = 0; mi < m0; ++mi) { int xi = ((mout + mi) % dst_conv_width) * stride_x; int yi = ((mout + mi) / dst_conv_width) * stride_y; xi -= pad_left; yi -= pad_top; const int x_s = xi + xk; const int y_s = yi + yk; int my = x_s + y_s * src_conv_width; my = my + z * src_conv_width * src_conv_height; my = x_s >= 0 ? my : -1; my = x_s < src_conv_width ? my : -1; my = y_s >= 0 ? my : -1; my = y_s < src_conv_height ? my : -1; const unsigned int addr_out = mi + ki * m0 + y * (dst_width) + z * (dst_width * dst_height); out[addr_out] = my; } } } } return out; } } // namespace reference } // namespace validation } // namespace test } // namespace arm_compute