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Diffstat (limited to 'tests/validation/reference/GEMMTranspose1xW.h')
-rw-r--r-- | tests/validation/reference/GEMMTranspose1xW.h | 76 |
1 files changed, 76 insertions, 0 deletions
diff --git a/tests/validation/reference/GEMMTranspose1xW.h b/tests/validation/reference/GEMMTranspose1xW.h new file mode 100644 index 0000000000..d6a2e89176 --- /dev/null +++ b/tests/validation/reference/GEMMTranspose1xW.h @@ -0,0 +1,76 @@ +/* + * Copyright (c) 2017, 2018 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 "GEMM.h" + +#include "arm_compute/core/Types.h" +#include "tests/validation/FixedPoint.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> gemm_transpose_1xW(const SimpleTensor<T> &in) +{ + const int W = 16 / sizeof(T); + const TensorShape shape_out(static_cast<size_t>(in.shape().y() * W), static_cast<size_t>(std::ceil(in.shape().x() / static_cast<float>(W)))); + SimpleTensor<T> out(shape_out, in.data_type()); + const int32_t in_height = in.shape().y(); + const int32_t in_width = in.shape().x(); + const int32_t out_width = out.shape().x(); + const T *in_base_addr = reinterpret_cast<const T *>(in.data()); + T *out_base_addr = reinterpret_cast<T *>(out.data()); + int x = 0; + for(; x < in_width; x += W) + { + for(int y = 0; y < in_height; y++) + { + const T *in_addr = (in_base_addr + x + y * in_width); + T *out_addr = (out_base_addr + y * W + (x / W) * out_width); + + for(int k = 0; k < W; ++k) + { + // If the input width is not multiple of W, we fill the reference with 0s + if((x + k) >= in_width) + { + out_addr[k] = T(0); + } + else + { + out_addr[k] = in_addr[k]; + } + } + } + } + return out; +} + +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute |