diff options
Diffstat (limited to 'src/core/cpu/kernels/add/sve')
| -rw-r--r-- | src/core/cpu/kernels/add/sve/integer.cpp | 201 | ||||
| -rw-r--r-- | src/core/cpu/kernels/add/sve/list.h | 145 | ||||
| -rw-r--r-- | src/core/cpu/kernels/add/sve/qasymm8.cpp | 182 | ||||
| -rw-r--r-- | src/core/cpu/kernels/add/sve/qasymm8_signed.cpp | 181 | ||||
| -rw-r--r-- | src/core/cpu/kernels/add/sve/qsymm16.cpp | 156 |
5 files changed, 865 insertions, 0 deletions
diff --git a/src/core/cpu/kernels/add/sve/integer.cpp b/src/core/cpu/kernels/add/sve/integer.cpp new file mode 100644 index 0000000000..5bd2e12665 --- /dev/null +++ b/src/core/cpu/kernels/add/sve/integer.cpp @@ -0,0 +1,201 @@ +/* + * Copyright (c) 2020-2021 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 "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 "src/core/NEON/wrapper/intrinsics/intrinsics.h" +#if defined(__ARM_FEATURE_SVE) +#include "src/core/NEON/SVEMath.h" +#include <arm_sve.h> + +namespace arm_compute +{ +namespace cpu +{ +void add_u8_u8_s16_sve(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + // Create input windows + Window win = window; + 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 + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + 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); + + const auto window_start_x = static_cast<int>(window.x().start()); + const auto window_end_x = static_cast<int>(window.x().end()); + const auto all_true_pg = svptrue_b8(); + + execute_window_loop(win, [&](const Coordinates &) + { + const auto input1_ptr = reinterpret_cast<const uint8_t *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const uint8_t *>(input2.ptr()); + const auto output_ptr = reinterpret_cast<int16_t *>(output.ptr()); + + if(policy == ConvertPolicy::WRAP) + { + int x = window_start_x; + svbool_t pg_u = svwhilelt_b8(x, window_end_x); + svbool_t pg_0 = svwhilelt_b16(x, window_end_x); + svbool_t pg_1 = svwhilelt_b16(x, static_cast<int>(window_end_x + svcnth())); + do + { + const auto vsrc0 = svld1(pg_u, input1_ptr + x); + const auto vsrc1 = svld1(pg_u, input2_ptr + x); + + const auto vsrc0_lo = svreinterpret_s16_u16(svunpklo(vsrc0)); + const auto vsrc0_hi = svreinterpret_s16_u16(svunpkhi(vsrc0)); + const auto vsrc1_lo = svreinterpret_s16_u16(svunpklo(vsrc1)); + const auto vsrc1_hi = svreinterpret_s16_u16(svunpkhi(vsrc1)); + svst1(pg_0, output_ptr + x, svqadd(vsrc0_lo, vsrc1_lo)); + svst1(pg_1, output_ptr + x + svcnth(), svqadd(vsrc0_hi, vsrc1_hi)); + + x += svcntb(); + pg_u = svwhilelt_b8(x, window_end_x); + pg_0 = svwhilelt_b16(x, window_end_x); + pg_1 = svwhilelt_b16(x, static_cast<int>(window_end_x + svcnth())); + } + while(svptest_any(all_true_pg, pg_u)); + } + else + { + int x = window_start_x; + svbool_t pg_u = svwhilelt_b8(x, window_end_x); + svbool_t pg_0 = svwhilelt_b16(x, window_end_x); + svbool_t pg_1 = svwhilelt_b16(x, static_cast<int>(window_end_x + svcnth())); + do + { + const auto vsrc0 = svld1(pg_u, input1_ptr + x); + const auto vsrc1 = svld1(pg_u, input2_ptr + x); + + const auto vsrc0_lo = svreinterpret_s16_u16(svunpklo(vsrc0)); + const auto vsrc0_hi = svreinterpret_s16_u16(svunpkhi(vsrc0)); + const auto vsrc1_lo = svreinterpret_s16_u16(svunpklo(vsrc1)); + const auto vsrc1_hi = svreinterpret_s16_u16(svunpkhi(vsrc1)); + svst1(pg_0, output_ptr + x, svqadd(vsrc0_lo, vsrc1_lo)); + svst1(pg_1, output_ptr + x + svcnth(), svqadd(vsrc0_hi, vsrc1_hi)); + + x += svcntb(); + pg_u = svwhilelt_b8(x, window_end_x); + pg_0 = svwhilelt_b16(x, window_end_x); + pg_1 = svwhilelt_b16(x, static_cast<int>(window_end_x + svcnth())); + } + while(svptest_any(all_true_pg, pg_u)); + } + }, + input1, input2, output); +} + +void add_s16_u8_s16_sve(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + // Create input windows + Window win = window; + 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 + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + 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); + + const auto window_start_x = static_cast<int>(window.x().start()); + const auto window_end_x = static_cast<int>(window.x().end()); + const auto all_true_pg = svptrue_b8(); + + execute_window_loop(win, [&](const Coordinates &) + { + const auto input1_ptr = reinterpret_cast<const int16_t *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const uint8_t *>(input2.ptr()); + const auto output_ptr = reinterpret_cast<int16_t *>(output.ptr()); + + if(policy == ConvertPolicy::WRAP) + { + int x = window_start_x; + svbool_t pg_u = svwhilelt_b8(x, window_end_x); + svbool_t pg_0 = svwhilelt_b16(x, window_end_x); + svbool_t pg_1 = svwhilelt_b16(x + static_cast<int>(svcnth()), window_end_x); + do + { + const auto vsrc0_0 = svld1_s16(pg_0, input1_ptr + x); + const auto vsrc0_1 = svld1_s16(pg_1, input1_ptr + x + svcnth()); + const auto vsrc1_u8 = svld1_u8(pg_u, input2_ptr + x); + const auto vsrc1_0 = svreinterpret_s16_u16(svunpklo(vsrc1_u8)); + const auto vsrc1_1 = svreinterpret_s16_u16(svunpkhi(vsrc1_u8)); + svst1_s16(pg_0, output_ptr + x, svadd_s16_z(pg_0, vsrc0_0, vsrc1_0)); + svst1_s16(pg_1, output_ptr + x, svadd_s16_z(pg_1, vsrc0_1, vsrc1_1)); + + x += svcnth(); + pg_u = svwhilelt_b8(x, window_end_x); + pg_0 = svwhilelt_b16(x, window_end_x); + pg_1 = svwhilelt_b16(x + static_cast<int>(svcnth()), window_end_x); + } + while(svptest_any(all_true_pg, pg_u)); + } + else + { + int x = window_start_x; + svbool_t pg_u = svwhilelt_b8(x, window_end_x); + svbool_t pg_0 = svwhilelt_b16(x, window_end_x); + svbool_t pg_1 = svwhilelt_b16(x + static_cast<int>(svcnth()), window_end_x); + do + { + const auto vsrc0_0 = svld1_s16(pg_0, input1_ptr + x); + const auto vsrc0_1 = svld1_s16(pg_1, input1_ptr + x); + const auto vsrc1_u8 = svld1_u8(pg_u, input2_ptr + x); + const auto vsrc1_0 = svreinterpret_s16_u16(svunpklo(vsrc1_u8)); + const auto vsrc1_1 = svreinterpret_s16_u16(svunpkhi(vsrc1_u8)); + + svst1_s16(pg_0, output_ptr + x, svqadd(vsrc0_0, vsrc1_0)); + svst1_s16(pg_1, output_ptr + x, svqadd(vsrc0_1, vsrc1_1)); + + x += svcnth(); + pg_u = svwhilelt_b8(x, window_end_x); + pg_0 = svwhilelt_b16(x, window_end_x); + pg_1 = svwhilelt_b16(x + static_cast<int>(svcnth()), window_end_x); + } + while(svptest_any(all_true_pg, pg_u)); + } + }, + input1, input2, output); +} + +void add_u8_s16_s16_sve(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + // Simply swap the two input buffers: + add_s16_u8_s16_sve(src1, src0, dst, policy, window); +} +} // namespace cpu +} // namespace arm_compute +#endif /* defined(__ARM_FEATURE_SVE) */
\ No newline at end of file diff --git a/src/core/cpu/kernels/add/sve/list.h b/src/core/cpu/kernels/add/sve/list.h new file mode 100644 index 0000000000..71dd875ad8 --- /dev/null +++ b/src/core/cpu/kernels/add/sve/list.h @@ -0,0 +1,145 @@ +/* + * Copyright (c) 2020-2021 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_SVE_KERNELS_ADD_LIST_H +#define SRC_CORE_SVE_KERNELS_ADD_LIST_H + +#if defined(__ARM_FEATURE_SVE) +#include "arm_compute/core/Types.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 +{ +#define DECLARE_ADD_KERNEL(func_name) \ + void func_name(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) + +DECLARE_ADD_KERNEL(add_qasymm8_sve); +DECLARE_ADD_KERNEL(add_qasymm8_signed_sve); +DECLARE_ADD_KERNEL(add_qsymm16_sve); +DECLARE_ADD_KERNEL(add_s16_u8_s16_sve); +DECLARE_ADD_KERNEL(add_u8_s16_s16_sve); +DECLARE_ADD_KERNEL(add_u8_u8_s16_sve); + +#undef DECLARE_ADD_KERNEL + +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); + } +} +} // namespace cpu +} // namespace arm_compute +#endif // defined(__ARM_FEATURE_SVE) +#endif // SRC_CORE_SVE_KERNELS_ADD_LIST_H
\ No newline at end of file diff --git a/src/core/cpu/kernels/add/sve/qasymm8.cpp b/src/core/cpu/kernels/add/sve/qasymm8.cpp new file mode 100644 index 0000000000..c47b5abf8a --- /dev/null +++ b/src/core/cpu/kernels/add/sve/qasymm8.cpp @@ -0,0 +1,182 @@ +/* + * Copyright (c) 2020-2021 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 "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 "src/core/NEON/wrapper/intrinsics/intrinsics.h" +#if defined(__ARM_FEATURE_SVE2) +#include "src/core/NEON/SVEMath.h" +#include <arm_sve.h> + +namespace arm_compute +{ +namespace cpu +{ +void add_qasymm8_sve(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + ARM_COMPUTE_UNUSED(policy); + + // 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)); + + 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 auto all_true_pg = svptrue_b8(); + + const UniformQuantizationInfo iq1_info = src0->info()->quantization_info().uniform(); + const UniformQuantizationInfo iq2_info = src1->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); + + const auto invvscaleo = svdup_n_f32(1.f / oq_info.scale); + const auto voffseto = svdup_n_f32(oq_info.offset); + + 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; + + const svfloat32_t vscale1 = is_broadcast_input_2 ? svdup_n_f32(iq1_info.scale) : svdup_n_f32(iq2_info.scale); + const svfloat32_t vscale2 = is_broadcast_input_2 ? svdup_n_f32(iq2_info.scale) : svdup_n_f32(iq1_info.scale); + const svint32_t voffset1 = is_broadcast_input_2 ? svdup_n_s32(iq1_info.offset) : svdup_n_s32(iq2_info.offset); + const svint32_t voffset2 = is_broadcast_input_2 ? svdup_n_s32(iq2_info.offset) : svdup_n_s32(iq1_info.offset); + + // 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 uint8_t *>(non_broadcast_input.ptr()); + const auto output_ptr = reinterpret_cast<uint8_t *>(output.ptr()); + + const uint8_t broadcast_value = *reinterpret_cast<const uint8_t *>(broadcast_input.ptr()); + const svuint8_t broadcast_value_vec = svdup_n_u8(broadcast_value); + + int x = window_start_x; + svbool_t pg = svwhilelt_b8(x, window_end_x); + + const auto bf_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlb_u32(svmovlb_u16(broadcast_value_vec))), voffset2)), vscale2); + const auto bf_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlt_u32(svmovlb_u16(broadcast_value_vec))), voffset2)), vscale2); + const auto bf_2 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlb_u32(svmovlt_u16(broadcast_value_vec))), voffset2)), vscale2); + const auto bf_3 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlt_u32(svmovlt_u16(broadcast_value_vec))), voffset2)), vscale2); + + do + { + const svuint8_t a = svld1_u8(pg, non_broadcast_input_ptr + x); + + const auto af_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlb_u32(svmovlb_u16(a))), voffset1)), vscale1); + const auto af_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlt_u32(svmovlb_u16(a))), voffset1)), vscale1); + const auto af_2 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlb_u32(svmovlt_u16(a))), voffset1)), vscale1); + const auto af_3 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlt_u32(svmovlt_u16(a))), voffset1)), vscale1); + + const auto rf_0 = svcvt_u32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_0, bf_0), invvscaleo)); + const auto rf_1 = svcvt_u32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_1, bf_1), invvscaleo)); + const auto rf_2 = svcvt_u32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_2, bf_2), invvscaleo)); + const auto rf_3 = svcvt_u32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_3, bf_3), invvscaleo)); + + const auto pa = svqxtnt_u32(svqxtnb_u32(rf_0), rf_1); + const auto pb = svqxtnt_u32(svqxtnb_u32(rf_2), rf_3); + + const auto res = svqxtnt_u16(svqxtnb_u16(pa), pb); + svst1_u8(pg, output_ptr + x, res); + + x += svcntb(); + pg = svwhilelt_b8(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); + + const auto vscale1 = svdup_n_f32(iq1_info.scale); + const auto vscale2 = svdup_n_f32(iq2_info.scale); + const auto voffset1 = svdup_n_s32(iq1_info.offset); + const auto voffset2 = svdup_n_s32(iq2_info.offset); + + execute_window_loop(win, [&](const Coordinates &) + { + const auto input1_ptr = reinterpret_cast<const uint8_t *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const uint8_t *>(input2.ptr()); + const auto output_ptr = reinterpret_cast<uint8_t *>(output.ptr()); + + int x = window_start_x; + svbool_t pg = svwhilelt_b8(x, window_end_x); + do + { + const auto a = svld1_u8(pg, input1_ptr + x); + const auto b = svld1_u8(pg, input2_ptr + x); + const auto af_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlb_u32(svmovlb_u16(a))), voffset1)), vscale1); + const auto af_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlt_u32(svmovlb_u16(a))), voffset1)), vscale1); + const auto af_2 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlb_u32(svmovlt_u16(a))), voffset1)), vscale1); + const auto af_3 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlt_u32(svmovlt_u16(a))), voffset1)), vscale1); + + const auto bf_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlb_u32(svmovlb_u16(b))), voffset2)), vscale2); + const auto bf_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlt_u32(svmovlb_u16(b))), voffset2)), vscale2); + const auto bf_2 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlb_u32(svmovlt_u16(b))), voffset2)), vscale2); + const auto bf_3 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svreinterpret_s32_u32(svmovlt_u32(svmovlt_u16(b))), voffset2)), vscale2); + + const auto rf_0 = svcvt_u32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_0, bf_0), invvscaleo)); + const auto rf_1 = svcvt_u32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_1, bf_1), invvscaleo)); + const auto rf_2 = svcvt_u32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_2, bf_2), invvscaleo)); + const auto rf_3 = svcvt_u32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_3, bf_3), invvscaleo)); + + const auto pa = svqxtnt_u32(svqxtnb_u32(rf_0), rf_1); + const auto pb = svqxtnt_u32(svqxtnb_u32(rf_2), rf_3); + const auto res = svqxtnt_u16(svqxtnb_u16(pa), pb); + + svst1_u8(pg, output_ptr + x, res); + + x += svcntb(); + pg = svwhilelt_b8(x, window_end_x); + } + while(svptest_any(all_true_pg, pg)); + }, + input1, input2, output); + } +} +} // namespace cpu +} // namespace arm_compute +#endif /* defined(__ARM_FEATURE_SVE2) */
\ No newline at end of file diff --git a/src/core/cpu/kernels/add/sve/qasymm8_signed.cpp b/src/core/cpu/kernels/add/sve/qasymm8_signed.cpp new file mode 100644 index 0000000000..75d0f75a65 --- /dev/null +++ b/src/core/cpu/kernels/add/sve/qasymm8_signed.cpp @@ -0,0 +1,181 @@ +/* + * Copyright (c) 2020-2021 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 "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 "src/core/NEON/wrapper/intrinsics/intrinsics.h" +#if defined(__ARM_FEATURE_SVE2) +#include "src/core/NEON/SVEMath.h" +#include <arm_sve.h> + +namespace arm_compute +{ +namespace cpu +{ +void add_qasymm8_signed_sve(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + ARM_COMPUTE_UNUSED(policy); + + // 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)); + + 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 UniformQuantizationInfo iq1_info = src0->info()->quantization_info().uniform(); + const UniformQuantizationInfo iq2_info = src1->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); + + const auto invvscaleo = svdup_n_f32(1.f / oq_info.scale); + const auto voffseto = svdup_n_f32(oq_info.offset); + + 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; + const auto all_true_pg = svptrue_b8(); + + const auto vscale1 = is_broadcast_input_2 ? svdup_n_f32(iq1_info.scale) : svdup_n_f32(iq2_info.scale); + const auto vscale2 = is_broadcast_input_2 ? svdup_n_f32(iq2_info.scale) : svdup_n_f32(iq1_info.scale); + const auto voffset1 = is_broadcast_input_2 ? svdup_n_s32(iq1_info.offset) : svdup_n_s32(iq2_info.offset); + const auto voffset2 = is_broadcast_input_2 ? svdup_n_s32(iq2_info.offset) : svdup_n_s32(iq1_info.offset); + + // 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 int8_t *>(non_broadcast_input.ptr()); + const auto output_ptr = reinterpret_cast<int8_t *>(output.ptr()); + + const int8_t broadcast_value = *reinterpret_cast<const int8_t *>(broadcast_input.ptr()); + const auto broadcast_value_vec = svdup_n_s8(broadcast_value); + + int x = window_start_x; + svbool_t pg = svwhilelt_b8(x, window_end_x); + const auto bf_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlb_s32(svmovlb_s16(broadcast_value_vec)), voffset2)), vscale2); + const auto bf_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlt_s32(svmovlb_s16(broadcast_value_vec)), voffset2)), vscale2); + const auto bf_2 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlb_s32(svmovlt_s16(broadcast_value_vec)), voffset2)), vscale2); + const auto bf_3 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlt_s32(svmovlt_s16(broadcast_value_vec)), voffset2)), vscale2); + + do + { + const auto a = svld1_s8(pg, non_broadcast_input_ptr + x); + const auto af_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlb_s32(svmovlb_s16(a)), voffset1)), vscale1); + const auto af_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlt_s32(svmovlb_s16(a)), voffset1)), vscale1); + const auto af_2 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlb_s32(svmovlt_s16(a)), voffset1)), vscale1); + const auto af_3 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlt_s32(svmovlt_s16(a)), voffset1)), vscale1); + + const auto rf_0 = svcvt_s32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_0, bf_0), invvscaleo)); + const auto rf_1 = svcvt_s32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_1, bf_1), invvscaleo)); + const auto rf_2 = svcvt_s32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_2, bf_2), invvscaleo)); + const auto rf_3 = svcvt_s32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_3, bf_3), invvscaleo)); + + const auto pa = svqxtnt_s32(svqxtnb_s32(rf_0), rf_1); + const auto pb = svqxtnt_s32(svqxtnb_s32(rf_2), rf_3); + const auto res = svqxtnt_s16(svqxtnb_s16(pa), pb); + + svst1_s8(pg, output_ptr + x, res); + + x += svcntb(); + pg = svwhilelt_b8(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); + + const auto vscale1 = svdup_n_f32(iq1_info.scale); + const auto vscale2 = svdup_n_f32(iq2_info.scale); + const auto voffset1 = svdup_n_s32(iq1_info.offset); + const auto voffset2 = svdup_n_s32(iq2_info.offset); + + execute_window_loop(win, [&](const Coordinates &) + { + const auto input1_ptr = reinterpret_cast<const int8_t *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const int8_t *>(input2.ptr()); + const auto output_ptr = reinterpret_cast<int8_t *>(output.ptr()); + + int x = window_start_x; + svbool_t pg = svwhilelt_b8(x, window_end_x); + do + { + const auto a = svld1_s8(pg, input1_ptr + x); + const auto b = svld1_s8(pg, input2_ptr + x); + + const auto af_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlb_s32(svmovlb_s16(a)), voffset1)), vscale1); + const auto af_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlt_s32(svmovlb_s16(a)), voffset1)), vscale1); + const auto af_2 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlb_s32(svmovlt_s16(a)), voffset1)), vscale1); + const auto af_3 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlt_s32(svmovlt_s16(a)), voffset1)), vscale1); + + const auto bf_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlb_s32(svmovlb_s16(b)), voffset2)), vscale2); + const auto bf_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlt_s32(svmovlb_s16(b)), voffset2)), vscale2); + const auto bf_2 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlb_s32(svmovlt_s16(b)), voffset2)), vscale2); + const auto bf_3 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svsub_s32_z(pg, svmovlt_s32(svmovlt_s16(b)), voffset2)), vscale2); + + const auto rf_0 = svcvt_s32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_0, bf_0), invvscaleo)); + const auto rf_1 = svcvt_s32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_1, bf_1), invvscaleo)); + const auto rf_2 = svcvt_s32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_2, bf_2), invvscaleo)); + const auto rf_3 = svcvt_s32_f32_z(pg, svmla_f32_z(pg, voffseto, svadd_f32_z(pg, af_3, bf_3), invvscaleo)); + + const auto pa = svqxtnt_s32(svqxtnb_s32(rf_0), rf_1); + const auto pb = svqxtnt_s32(svqxtnb_s32(rf_2), rf_3); + const auto res = svqxtnt_s16(svqxtnb_s16(pa), pb); + + svst1_s8(pg, output_ptr + x, res); + + x += svcntb(); + pg = svwhilelt_b8(x, window_end_x); + } + while(svptest_any(svptrue_b8(), pg)); + }, + input1, input2, output); + } +} +} // namespace cpu +} // namespace arm_compute +#endif /* defined(__ARM_FEATURE_SVE2) */
\ No newline at end of file diff --git a/src/core/cpu/kernels/add/sve/qsymm16.cpp b/src/core/cpu/kernels/add/sve/qsymm16.cpp new file mode 100644 index 0000000000..c3b72a5e65 --- /dev/null +++ b/src/core/cpu/kernels/add/sve/qsymm16.cpp @@ -0,0 +1,156 @@ +/* + * Copyright (c) 2020-2021 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 "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 "src/core/NEON/wrapper/intrinsics/intrinsics.h" +#if defined(__ARM_FEATURE_SVE2) +#include "src/core/NEON/SVEMath.h" +#include <arm_sve.h> + +namespace arm_compute +{ +namespace cpu +{ +void add_qsymm16_sve(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + ARM_COMPUTE_UNUSED(policy); + + // 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)); + + 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 UniformQuantizationInfo iq1_info = src0->info()->quantization_info().uniform(); + const UniformQuantizationInfo iq2_info = src1->info()->quantization_info().uniform(); + const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform(); + + const auto vscale1 = svdup_n_f32(iq1_info.scale); + const auto vscale2 = svdup_n_f32(iq2_info.scale); + const auto invvscaleo = svdup_n_f32(1.f / oq_info.scale); + const auto all_true_pg = svptrue_b16(); + + 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 int16_t *>(non_broadcast_input.ptr()); + const auto output_ptr = reinterpret_cast<int16_t *>(output.ptr()); + + const int16_t broadcast_value = *reinterpret_cast<const int16_t *>(broadcast_input.ptr()); + const auto broadcast_value_vec = svdup_n_s16(broadcast_value); + + int x = window_start_x; + svbool_t pg = svwhilelt_b16(x, window_end_x); + + const auto bf_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svmovlb_s32(broadcast_value_vec)), vscale2); + const auto bf_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svmovlt_s32(broadcast_value_vec)), vscale2); + + do + { + const auto a = svld1_s16(pg, non_broadcast_input_ptr + x); + const auto af_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svmovlb_s32(a)), vscale1); + const auto af_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svmovlt_s32(a)), vscale1); + + const auto rf_0 = svcvt_s32_f32_z(pg, svmul_f32_z(pg, svadd_f32_z(pg, af_0, bf_0), invvscaleo)); + const auto rf_1 = svcvt_s32_f32_z(pg, svmul_f32_z(pg, svadd_f32_z(pg, af_1, bf_1), invvscaleo)); + + const auto res = svqxtnt_s32(svqxtnb_s32(rf_0), rf_1); + + svst1_s16(pg, output_ptr + x, res); + + x += svcnth(); + pg = svwhilelt_b16(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 int16_t *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const int16_t *>(input2.ptr()); + const auto output_ptr = reinterpret_cast<int16_t *>(output.ptr()); + + int x = window_start_x; + svbool_t pg = svwhilelt_b16(x, window_end_x); + do + { + auto a = svld1_s16(pg, input1_ptr + x); + auto b = svld1_s16(pg, input2_ptr + x); + + const auto af_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svmovlb_s32(a)), vscale1); + const auto af_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svmovlt_s32(a)), vscale1); + + const auto bf_0 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svmovlb_s32(b)), vscale2); + const auto bf_1 = svmul_f32_z(pg, svcvt_f32_s32_z(pg, svmovlt_s32(b)), vscale2); + + const auto rf_0 = svcvt_s32_f32_z(pg, svmul_f32_z(pg, svadd_f32_z(pg, af_0, bf_0), invvscaleo)); + const auto rf_1 = svcvt_s32_f32_z(pg, svmul_f32_z(pg, svadd_f32_z(pg, af_1, bf_1), invvscaleo)); + + const auto res = svqxtnt_s32(svqxtnb_s32(rf_0), rf_1); + svst1_s16(pg, output_ptr + x, res); + + x += svcnth(); + pg = svwhilelt_b16(x, window_end_x); + } + while(svptest_any(all_true_pg, pg)); + }, + input1, input2, output); + } +} +} // namespace cpu +} // namespace arm_compute +#endif /* defined(__ARM_FEATURE_SVE2) */
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