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Diffstat (limited to 'src/cpu/kernels/add/generic/sve/impl.cpp')
| -rw-r--r-- | src/cpu/kernels/add/generic/sve/impl.cpp | 147 |
1 files changed, 147 insertions, 0 deletions
diff --git a/src/cpu/kernels/add/generic/sve/impl.cpp b/src/cpu/kernels/add/generic/sve/impl.cpp new file mode 100644 index 0000000000..ca850fcef4 --- /dev/null +++ b/src/cpu/kernels/add/generic/sve/impl.cpp @@ -0,0 +1,147 @@ +/* + * Copyright (c) 2021-2022 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 "src/cpu/kernels/add/generic/sve/impl.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/utils/misc/Traits.h" + +#include "src/core/NEON/SVEMath.h" +#include "src/core/NEON/wrapper/intrinsics/intrinsics.h" + +#include <arm_sve.h> +namespace arm_compute +{ +namespace cpu +{ +template <typename ScalarType> +void add_same_sve( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + const auto all_true_pg = wrapper::svptrue<ScalarType>(); + const auto window_start_x = static_cast<int>(window.x().start()); + const auto window_end_x = static_cast<int>(window.x().end()); + const bool is_broadcast_across_x = src0->info()->tensor_shape().x() != src1->info()->tensor_shape().x(); + const bool is_sat = (policy == ConvertPolicy::SATURATE); + + // Clear X Dimension on execution window as we handle manually + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + // Create input windows + Window input1_win = window.broadcast_if_dimension_le_one(src0->info()->tensor_shape()); + Window input2_win = window.broadcast_if_dimension_le_one(src1->info()->tensor_shape()); + + Iterator input1(src0, window.broadcast_if_dimension_le_one(src0->info()->tensor_shape())); + Iterator input2(src1, window.broadcast_if_dimension_le_one(src1->info()->tensor_shape())); + Iterator output(dst, window); + + if (is_broadcast_across_x) + { + const bool is_broadcast_input_2 = input2_win.x().step() == 0; + Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win; + Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win; + const ITensor *broadcast_tensor = is_broadcast_input_2 ? src1 : src0; + const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? src1 : src0; + + // Clear X Dimension on execution window as we handle manually + non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator broadcast_input(broadcast_tensor, broadcast_win); + Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win); + Iterator output(dst, win); + + execute_window_loop( + win, + [&](const Coordinates &) + { + const auto non_broadcast_input_ptr = reinterpret_cast<const ScalarType *>(non_broadcast_input.ptr()); + const auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr()); + + const ScalarType broadcast_value = *reinterpret_cast<const ScalarType *>(broadcast_input.ptr()); + const auto broadcast_value_vec = wrapper::svdup_n(broadcast_value); + + int x = window_start_x; + svbool_t pg = wrapper::svwhilelt<ScalarType>(x, window_end_x); + do + { + const auto non_broadcast_v = svld1(pg, non_broadcast_input_ptr + x); + auto res = is_sat ? wrapper::svqadd(broadcast_value_vec, non_broadcast_v) + : svadd_z(pg, broadcast_value_vec, non_broadcast_v); + svst1(pg, output_ptr + x, res); + + x += wrapper::svcnt<ScalarType>(); + pg = wrapper::svwhilelt<ScalarType>(x, window_end_x); + } while (svptest_any(all_true_pg, pg)); + }, + broadcast_input, non_broadcast_input, output); + } + else + { + // Clear X Dimension on execution window as we handle manually + input1_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + input2_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator input1(src0, input1_win); + Iterator input2(src1, input2_win); + Iterator output(dst, win); + + execute_window_loop( + win, + [&](const Coordinates &) + { + const auto input1_ptr = reinterpret_cast<const ScalarType *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const ScalarType *>(input2.ptr()); + const auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr()); + + int x = window_start_x; + svbool_t pg = wrapper::svwhilelt<ScalarType>(x, window_end_x); + do + { + const auto val1 = svld1(pg, input1_ptr + x); + const auto val2 = svld1(pg, input2_ptr + x); + const auto res = is_sat ? wrapper::svqadd(val1, val2) : svadd_z(pg, val1, val2); + svst1(pg, output_ptr + x, res); + + x += wrapper::svcnt<ScalarType>(); + pg = wrapper::svwhilelt<ScalarType>(x, window_end_x); + } while (svptest_any(all_true_pg, pg)); + }, + input1, input2, output); + } +} +template void add_same_sve<float>( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); +template void add_same_sve<uint8_t>( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); +template void add_same_sve<int16_t>( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); +template void add_same_sve<int32_t>( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); +#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) +template void add_same_sve<float16_t>( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); +#endif /* (__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */ +} // namespace cpu +} // namespace arm_compute |