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Diffstat (limited to 'src/cpu/kernels/add/generic/neon/impl.h')
| -rw-r--r-- | src/cpu/kernels/add/generic/neon/impl.h | 183 |
1 files changed, 183 insertions, 0 deletions
diff --git a/src/cpu/kernels/add/generic/neon/impl.h b/src/cpu/kernels/add/generic/neon/impl.h new file mode 100644 index 0000000000..faa99baffe --- /dev/null +++ b/src/cpu/kernels/add/generic/neon/impl.h @@ -0,0 +1,183 @@ +/* + * Copyright (c) 2021-2023 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. + */ +#ifndef SRC_CORE_NEON_KERNELS_ADD_IMPL_H +#define SRC_CORE_NEON_KERNELS_ADD_IMPL_H +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/Traits.h" +#include "arm_compute/core/Window.h" + +#include "src/core/NEON/wrapper/wrapper.h" + +namespace arm_compute +{ +namespace cpu +{ +template <typename ScalarType> +void add_same_neon( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + /** SIMD vector tag type. */ + using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<ScalarType, wrapper::traits::BitWidth::W128>; + + // 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()); + + // Clear X Dimension on execution window as we handle manually + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + constexpr int window_step_x = 16 / sizeof(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(); + + 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::vdup_n(broadcast_value, ExactTagType{}); + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto non_broadcast_v = wrapper::vloadq(non_broadcast_input_ptr + x); + const auto res = (policy == ConvertPolicy::SATURATE) + ? wrapper::vqadd(broadcast_value_vec, non_broadcast_v) + : wrapper::vadd(broadcast_value_vec, non_broadcast_v); + wrapper::vstore(output_ptr + x, res); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const auto non_broadcast_v = *(non_broadcast_input_ptr + x); + *(output_ptr + x) = (policy == ConvertPolicy::SATURATE) + ? wrapper::add_sat(broadcast_value, non_broadcast_v) + : broadcast_value + non_broadcast_v; + } + }, + 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()); + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto val1 = wrapper::vloadq(input1_ptr + x); + const auto val2 = wrapper::vloadq(input2_ptr + x); + const auto res = + (policy == ConvertPolicy::SATURATE) ? wrapper::vqadd(val1, val2) : wrapper::vadd(val1, val2); + wrapper::vstore(output_ptr + x, res); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const auto val1 = *(input1_ptr + x); + const auto val2 = *(input2_ptr + x); + *(output_ptr + x) = + (policy == ConvertPolicy::SATURATE) ? wrapper::add_sat(val1, val2) : val1 + val2; + } + }, + input1, input2, output); + } +} + +bool add_q8_neon_fixedpoint_possible(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst); + +bool sub_q8_neon_fixedpoint_possible(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst); + +bool add_sub_q8_neon_fixedpoint_possible(const ITensorInfo *src0, + const ITensorInfo *src1, + const ITensorInfo *dst, + bool is_addition); + +void add_sub_qasymm8_neon(const ITensor *src0, + const ITensor *src1, + ITensor *dst, + const ConvertPolicy &policy, + const Window &window, + bool is_addition); + +void add_sub_qasymm8_signed_neon(const ITensor *src0, + const ITensor *src1, + ITensor *dst, + const ConvertPolicy &policy, + const Window &window, + bool is_addition); + +template <typename ScalarType> +void add_q8_neon_fixedpoint( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); + +template <typename ScalarType> +void add_sub_q8_neon_fixedpoint(const ITensor *src0, + const ITensor *src1, + ITensor *dst, + const ConvertPolicy &policy, + const Window &window, + bool is_addition); +} // namespace cpu +} // namespace arm_compute +#endif // SRC_CORE_NEON_KERNELS_ADD_IMPL_H |