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Diffstat (limited to 'tests/validation/reference/IndirectConv2dAddressPrecalculation.cpp')
| -rw-r--r-- | tests/validation/reference/IndirectConv2dAddressPrecalculation.cpp | 98 |
1 files changed, 98 insertions, 0 deletions
diff --git a/tests/validation/reference/IndirectConv2dAddressPrecalculation.cpp b/tests/validation/reference/IndirectConv2dAddressPrecalculation.cpp new file mode 100644 index 0000000000..7500560c91 --- /dev/null +++ b/tests/validation/reference/IndirectConv2dAddressPrecalculation.cpp @@ -0,0 +1,98 @@ +/* + * 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
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