| /* |
| * 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<int32_t> 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<int32_t> out{ shape_dst, DataType::S32 }; |
| |
| constexpr unsigned int width_idx = 1; |
| constexpr unsigned int heigh_idx = 2; |
| |
| const int src_conv_width = static_cast<int32_t>(shape_conv_src[width_idx]); // NHWC |
| const int src_conv_height = static_cast<int32_t>(shape_conv_src[heigh_idx]); // NHWC |
| const int dst_conv_width = static_cast<int32_t>(shape_conv_dst[width_idx]); // NHWC |
| const int wei_conv_width = static_cast<int32_t>(shape_conv_wei[width_idx]); // NHWC |
| const int wei_conv_height = static_cast<int32_t>(shape_conv_wei[heigh_idx]); // NHWC |
| const int dst_width = static_cast<int32_t>(shape_dst[0]); |
| const int dst_height = static_cast<int32_t>(shape_dst[1]); |
| const int dst_batch = static_cast<int32_t>(shape_dst[2]); |
| const int ks = wei_conv_width * wei_conv_height; |
| const int stride_x = static_cast<int32_t>(conv_info.stride().first); |
| const int stride_y = static_cast<int32_t>(conv_info.stride().second); |
| const int pad_left = static_cast<int32_t>(conv_info.pad_left()); |
| const int pad_top = static_cast<int32_t>(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 |