diff options
Diffstat (limited to 'src/cpu/kernels/add/generic/neon/impl.cpp')
| -rw-r--r-- | src/cpu/kernels/add/generic/neon/impl.cpp | 723 |
1 files changed, 723 insertions, 0 deletions
diff --git a/src/cpu/kernels/add/generic/neon/impl.cpp b/src/cpu/kernels/add/generic/neon/impl.cpp new file mode 100644 index 0000000000..34938cc4c4 --- /dev/null +++ b/src/cpu/kernels/add/generic/neon/impl.cpp @@ -0,0 +1,723 @@ +/* + * Copyright (c) 2020-2023 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. + */ + +#include "src/cpu/kernels/add/generic/neon/impl.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/utils/misc/Traits.h" + +#include "src/core/NEON/wrapper/wrapper.h" +namespace arm_compute +{ +namespace cpu +{ +bool sub_q8_neon_fixedpoint_possible(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst) +{ + return add_sub_q8_neon_fixedpoint_possible(src0, src1, dst, false); +} + +bool add_q8_neon_fixedpoint_possible(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst) +{ + return add_sub_q8_neon_fixedpoint_possible(src0, src1, dst, true); +} + +bool add_sub_q8_neon_fixedpoint_possible(const ITensorInfo *src0, + const ITensorInfo *src1, + const ITensorInfo *dst, + bool is_addition) +{ + const auto iq0 = src0->quantization_info().uniform(); + const auto iq1 = src1->quantization_info().uniform(); + const auto oq = dst->quantization_info().uniform(); + + const auto scale0 = iq0.scale / oq.scale; + const auto scale1 = iq1.scale / oq.scale; + + if (scale0 < -15.f || scale0 > 15.f || scale1 < -15.f || scale1 > 15.f) + { + // The scale factor cannot be stored as 5.11 signed fixed-point number. + return false; + } + + const auto offset = float(oq.offset) - scale0 * float(iq0.offset) - scale1 * float(iq1.offset); + + const auto max_acc = is_addition ? ((std::abs(scale0) + std::abs(scale1)) * 256.f + std::abs(offset)) + : ((std::abs(scale0) - std::abs(scale1)) * 256.f + std::abs(offset)); + + if (max_acc > 1048575.f) // 2^20 - 1 + { + // It might not be possible to store the result as 21.11 signed fixed-point number. + return false; + } + + return true; +} + +template <typename ScalarType> +void add_q8_neon_fixedpoint( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window) +{ + add_sub_q8_neon_fixedpoint<ScalarType>(src0, src1, dst, policy, window, true /*is_addition*/); +} + +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) +{ + ARM_COMPUTE_UNUSED(policy); + + const auto in0_info = src0->info(); + const auto in1_info = src1->info(); + + const auto &in0_shape = in0_info->tensor_shape(); + const auto &in1_shape = in1_info->tensor_shape(); + + // Create input windows. + Window in0_win = window.broadcast_if_dimension_le_one(in0_shape); + Window in1_win = window.broadcast_if_dimension_le_one(in1_shape); + + // Clear the x dimension on the execution window as we process the whole row each iteration. + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + constexpr int window_step_x = 16; + const auto window_start_x = window.x().start(); + const auto window_end_x = window.x().end(); + const auto is_broadcast_across_x = in0_shape.x() != in1_shape.x(); + + const auto iq0_info = in0_info->quantization_info().uniform(); + const auto iq1_info = in1_info->quantization_info().uniform(); + const auto oq_info = dst->info()->quantization_info().uniform(); + const auto in0_scale = iq0_info.scale / oq_info.scale; + const auto in1_scale = is_addition ? (iq1_info.scale / oq_info.scale) : (-(iq1_info.scale / oq_info.scale)); + const auto offset = float(oq_info.offset) - in0_scale * float(iq0_info.offset) - in1_scale * float(iq1_info.offset); + + constexpr float _2pow11 = 2048; + const auto in0_scale_5p11 = static_cast<int16_t>(support::cpp11::lround(in0_scale * _2pow11)); + const auto in1_scale_5p11 = static_cast<int16_t>(support::cpp11::lround(in1_scale * _2pow11)); + const auto offset_21p11 = static_cast<int32_t>(support::cpp11::lround(offset * _2pow11)); + + constexpr uint8_t shift_amount_remainder = 3; + + if (is_broadcast_across_x) + { + // Prefix: a = non-broadcast, b = broadcast. + + const auto is_broadcast_input_1 = in1_win.x().step() == 0; + auto a_win = is_broadcast_input_1 ? in0_win : in1_win; + auto b_win = is_broadcast_input_1 ? in1_win : in0_win; + const auto a_tensor = is_broadcast_input_1 ? src0 : src1; + const auto b_tensor = is_broadcast_input_1 ? src1 : src0; + + const auto a_scale_5p11 = is_broadcast_input_1 ? in0_scale_5p11 : in1_scale_5p11; + const auto b_scale = is_broadcast_input_1 ? in1_scale : in0_scale; + const auto a_vscale_5p11 = wrapper::vdup_n(a_scale_5p11, wrapper::traits::vector_64_tag()); + +#ifndef __aarch64__ + const auto a_scale = is_broadcast_input_1 ? in0_scale : in1_scale; +#endif // __aarch64__ + + // Clear the x dimension on the execution window as we process the whole row each iteration. + a_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator a_input_it(a_tensor, a_win); + Iterator b_input_it(b_tensor, b_win); + Iterator out_it(dst, win); + + execute_window_loop( + win, + [&](const Coordinates &) + { + const auto a_ptr = reinterpret_cast<const ScalarType *>(a_input_it.ptr()); + const auto b_ptr = reinterpret_cast<const ScalarType *>(b_input_it.ptr()); + const auto out_ptr = reinterpret_cast<ScalarType *>(out_it.ptr()); + + const auto b_val = *b_ptr; + const auto b_scaled = b_scale * b_val; + const auto b_scaled_21p11 = static_cast<int32_t>(support::cpp11::lround(b_scaled * _2pow11)); + const auto b_scaled_offseted_21p11 = b_scaled_21p11 + offset_21p11; + const auto b_vscaled_offseted_21p11 = + wrapper::vdup_n(b_scaled_offseted_21p11, wrapper::traits::vector_128_tag()); + +#ifndef __aarch64__ + const auto b_scaled_offseted = b_scaled + offset; +#endif // __aarch64__ + + int x = window_start_x; + + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + // Load the input. + const auto a_vin_8p0 = wrapper::vloadq(a_ptr + x); + + // Widen the non-broadcast elements to signed 16-bit regardless of the input signedness. + const auto a_vin_16p0_0 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgetlow(a_vin_8p0))); + const auto a_vin_16p0_1 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgethigh(a_vin_8p0))); + + // Multiply the non-broadcast elements by the scale factor, add the scaled broadcast elements and the offset. + // Widen and store the result in 32-bit integer. + const auto vout_21p11_00 = + wrapper::vmlal(b_vscaled_offseted_21p11, wrapper::vgetlow(a_vin_16p0_0), a_vscale_5p11); + const auto vout_21p11_01 = + wrapper::vmlal(b_vscaled_offseted_21p11, wrapper::vgethigh(a_vin_16p0_0), a_vscale_5p11); + const auto vout_21p11_10 = + wrapper::vmlal(b_vscaled_offseted_21p11, wrapper::vgetlow(a_vin_16p0_1), a_vscale_5p11); + const auto vout_21p11_11 = + wrapper::vmlal(b_vscaled_offseted_21p11, wrapper::vgethigh(a_vin_16p0_1), a_vscale_5p11); + + // Remove 3 bits of the fractional part, round, narrow to 16-bit and saturate the result. + const auto vout_8p8_0 = + wrapper::vcombine(wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_00), + wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_01)); + const auto vout_8p8_1 = + wrapper::vcombine(wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_10), + wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_11)); + + // Remove 8 bits of the fractional part, round, narrow to 8-bit and saturate the result. + const auto vout_8p0 = + wrapper::vcombine(wrapper::vqrshrn<8>(vout_8p8_0), wrapper::vqrshrn<8>(vout_8p8_1)); + + // Store the result. + wrapper::vstore(out_ptr + x, vout_8p0); + } + + // Process the left-over elements. + for (; x < window_end_x; ++x) + { +#ifdef __aarch64__ + out_ptr[x] = wrapper::vqrshrn<8>(wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>( + int32_t(a_ptr[x]) * a_scale_5p11 + b_scaled_offseted_21p11)); +#else // __aarch64__ + out_ptr[x] = utility::clamp<int, ScalarType>( + support::cpp11::lround(float(a_ptr[x]) * a_scale + b_scaled_offseted)); +#endif // __aarch64__ + } + }, + b_input_it, a_input_it, out_it); + } + else + { + const auto vscale0_5p11 = wrapper::vdup_n(in0_scale_5p11, wrapper::traits::vector_64_tag()); + const auto vscale1_5p11 = wrapper::vdup_n(in1_scale_5p11, wrapper::traits::vector_64_tag()); + const auto voffset_21p11 = wrapper::vdup_n(offset_21p11, wrapper::traits::vector_128_tag()); + + // Clear the x dimension on the execution window as we process the whole row each iteration. + in0_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + in1_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator in0_it(src0, in0_win); + Iterator in1_it(src1, in1_win); + Iterator out_it(dst, win); + + execute_window_loop( + win, + [&](const Coordinates &) + { + const auto in0_ptr = reinterpret_cast<const ScalarType *>(in0_it.ptr()); + const auto in1_ptr = reinterpret_cast<const ScalarType *>(in1_it.ptr()); + const auto out_ptr = reinterpret_cast<ScalarType *>(out_it.ptr()); + + int x = window_start_x; + + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + // Load the inputs. + const auto vin0_8p0 = wrapper::vloadq(in0_ptr + x); + const auto vin1_8p0 = wrapper::vloadq(in1_ptr + x); + + // Widen the input elements to signed 16-bit regardless of the input signedness. + const auto vin0_16p0_0 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgetlow(vin0_8p0))); + const auto vin0_16p0_1 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgethigh(vin0_8p0))); + const auto vin1_16p0_0 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgetlow(vin1_8p0))); + const auto vin1_16p0_1 = wrapper::vreinterpret(wrapper::vmovl(wrapper::vgethigh(vin1_8p0))); + + // Multiply the input elements by the scale factor and add the offset. + // Widen and store the result in 32-bit integer. + const auto vscaled0_offseted_21p11_00 = + wrapper::vmlal(voffset_21p11, wrapper::vgetlow(vin0_16p0_0), vscale0_5p11); + const auto vscaled0_offseted_21p11_01 = + wrapper::vmlal(voffset_21p11, wrapper::vgethigh(vin0_16p0_0), vscale0_5p11); + const auto vscaled0_offseted_21p11_10 = + wrapper::vmlal(voffset_21p11, wrapper::vgetlow(vin0_16p0_1), vscale0_5p11); + const auto vscaled0_offseted_21p11_11 = + wrapper::vmlal(voffset_21p11, wrapper::vgethigh(vin0_16p0_1), vscale0_5p11); + + const auto vout_21p11_00 = + wrapper::vmlal(vscaled0_offseted_21p11_00, wrapper::vgetlow(vin1_16p0_0), vscale1_5p11); + const auto vout_21p11_01 = + wrapper::vmlal(vscaled0_offseted_21p11_01, wrapper::vgethigh(vin1_16p0_0), vscale1_5p11); + const auto vout_21p11_10 = + wrapper::vmlal(vscaled0_offseted_21p11_10, wrapper::vgetlow(vin1_16p0_1), vscale1_5p11); + const auto vout_21p11_11 = + wrapper::vmlal(vscaled0_offseted_21p11_11, wrapper::vgethigh(vin1_16p0_1), vscale1_5p11); + + // Remove 3 bits of the fractional part, round, narrow to 16-bit and saturate the result. + const auto vout_8p8_0 = + wrapper::vcombine(wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_00), + wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_01)); + const auto vout_8p8_1 = + wrapper::vcombine(wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_10), + wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>(vout_21p11_11)); + + // Remove 8 bits of the fractional part, round, narrow to 8-bit and saturate the result. + const auto vout_8p0 = + wrapper::vcombine(wrapper::vqrshrn<8>(vout_8p8_0), wrapper::vqrshrn<8>(vout_8p8_1)); + + // Store the result. + wrapper::vstore(out_ptr + x, vout_8p0); + } + + // Process the left-over elements. + for (; x < window_end_x; ++x) + { +#ifdef __aarch64__ + out_ptr[x] = wrapper::vqrshrn<8>(wrapper::vqrshrn_ex<shift_amount_remainder, ScalarType>( + int32_t(in0_ptr[x]) * in0_scale_5p11 + int32_t(in1_ptr[x]) * in1_scale_5p11 + offset_21p11)); +#else // __aarch64__ + out_ptr[x] = utility::clamp<int, ScalarType>( + support::cpp11::lround(float(in0_ptr[x]) * in0_scale + float(in1_ptr[x]) * in1_scale + offset)); +#endif // __aarch64__ + } + }, + in0_it, in1_it, out_it); + } +} + +void add_sub_qasymm8_neon(const ITensor *src0, + const ITensor *src1, + ITensor *dst, + const ConvertPolicy &policy, + const Window &window, + bool is_addition) +{ + 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)); + + constexpr int window_step_x = 16; + 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 scale1 = iq1_info.scale / oq_info.scale; + const auto scale2 = is_addition ? (iq2_info.scale / oq_info.scale) : (-(iq2_info.scale / oq_info.scale)); + const auto offset = float(oq_info.offset) - scale1 * float(iq1_info.offset) - scale2 * float(iq2_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 af_scale = is_broadcast_input_2 ? scale1 : scale2; + const auto bf_scale = is_broadcast_input_2 ? scale2 : scale1; + const auto vscale1 = vdupq_n_f32(af_scale); + + // 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 = non_broadcast_input.ptr(); + const auto output_ptr = output.ptr(); + + const auto broadcast_value = *broadcast_input.ptr(); + const auto bf = vdupq_n_f32(float(broadcast_value) * scale2 + offset); + const auto bfs = float(broadcast_value) * bf_scale + offset; + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const uint8x16_t a = vld1q_u8(non_broadcast_input_ptr + x); + + const auto a_u16_0 = vmovl_u8(vget_low_u8(a)); + const auto a_u16_1 = vmovl_u8(vget_high_u8(a)); + + const auto af_0 = vmlaq_f32(bf, vcvtq_f32_u32(vmovl_u16(vget_low_u16(a_u16_0))), vscale1); + const auto af_1 = vmlaq_f32(bf, vcvtq_f32_u32(vmovl_u16(vget_high_u16(a_u16_0))), vscale1); + const auto af_2 = vmlaq_f32(bf, vcvtq_f32_u32(vmovl_u16(vget_low_u16(a_u16_1))), vscale1); + const auto af_3 = vmlaq_f32(bf, vcvtq_f32_u32(vmovl_u16(vget_high_u16(a_u16_1))), vscale1); + + int32x4_t rf_0{}; + int32x4_t rf_1{}; + int32x4_t rf_2{}; + int32x4_t rf_3{}; + +#ifdef __aarch64__ + rf_0 = vcvtnq_s32_f32(af_0); + rf_1 = vcvtnq_s32_f32(af_1); + rf_2 = vcvtnq_s32_f32(af_2); + rf_3 = vcvtnq_s32_f32(af_3); +#else //__aarch64__ + rf_0 = vcvtq_s32_f32(af_0); + rf_1 = vcvtq_s32_f32(af_1); + rf_2 = vcvtq_s32_f32(af_2); + rf_3 = vcvtq_s32_f32(af_3); +#endif //__aarch64__ + + const uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(rf_0), vqmovn_s32(rf_1))); + const uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(rf_2), vqmovn_s32(rf_3))); + vst1q_u8(output_ptr + x, vcombine_u8(pa, pb)); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const auto result = float(non_broadcast_input_ptr[x]) * af_scale + bfs; +#ifdef __aarch64__ + output_ptr[x] = utility::clamp<int, uint8_t>(support::cpp11::lround(result)); +#else // __aarch64__ + output_ptr[x] = utility::clamp<int, uint8_t>(support::cpp11::trunc(result)); +#endif // __aarch64__ + } + }, + 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 = vdupq_n_f32(scale1); + const auto vscale2 = vdupq_n_f32(scale2); + const auto voffset = vdupq_n_f32(offset); + + execute_window_loop( + win, + [&](const Coordinates &) + { + const auto input1_ptr = input1.ptr(); + const auto input2_ptr = input2.ptr(); + const auto output_ptr = 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 uint8x16_t a = vld1q_u8(input1_ptr + x); + const uint8x16_t b = vld1q_u8(input2_ptr + x); + + const auto a_u16_0 = vmovl_u8(vget_low_u8(a)); + const auto a_u16_1 = vmovl_u8(vget_high_u8(a)); + const auto b_u16_0 = vmovl_u8(vget_low_u8(b)); + const auto b_u16_1 = vmovl_u8(vget_high_u8(b)); + + const auto af_0 = vmlaq_f32(voffset, vcvtq_f32_u32(vmovl_u16(vget_low_u16(a_u16_0))), vscale1); + const auto af_1 = vmlaq_f32(voffset, vcvtq_f32_u32(vmovl_u16(vget_high_u16(a_u16_0))), vscale1); + const auto af_2 = vmlaq_f32(voffset, vcvtq_f32_u32(vmovl_u16(vget_low_u16(a_u16_1))), vscale1); + const auto af_3 = vmlaq_f32(voffset, vcvtq_f32_u32(vmovl_u16(vget_high_u16(a_u16_1))), vscale1); + + const auto bf_0 = vmlaq_f32(af_0, vcvtq_f32_u32(vmovl_u16(vget_low_u16(b_u16_0))), vscale2); + const auto bf_1 = vmlaq_f32(af_1, vcvtq_f32_u32(vmovl_u16(vget_high_u16(b_u16_0))), vscale2); + const auto bf_2 = vmlaq_f32(af_2, vcvtq_f32_u32(vmovl_u16(vget_low_u16(b_u16_1))), vscale2); + const auto bf_3 = vmlaq_f32(af_3, vcvtq_f32_u32(vmovl_u16(vget_high_u16(b_u16_1))), vscale2); + + int32x4_t rf_0{}; + int32x4_t rf_1{}; + int32x4_t rf_2{}; + int32x4_t rf_3{}; + +#ifdef __aarch64__ + rf_0 = vcvtnq_s32_f32(bf_0); + rf_1 = vcvtnq_s32_f32(bf_1); + rf_2 = vcvtnq_s32_f32(bf_2); + rf_3 = vcvtnq_s32_f32(bf_3); +#else //__aarch64__ + rf_0 = vcvtq_s32_f32(bf_0); + rf_1 = vcvtq_s32_f32(bf_1); + rf_2 = vcvtq_s32_f32(bf_2); + rf_3 = vcvtq_s32_f32(bf_3); +#endif //__aarch64__ + + const uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(rf_0), vqmovn_s32(rf_1))); + const uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(rf_2), vqmovn_s32(rf_3))); + vst1q_u8(output_ptr + x, vcombine_u8(pa, pb)); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const auto result = float(input1_ptr[x]) * scale1 + float(input2_ptr[x]) * scale2 + offset; +#ifdef __aarch64__ + output_ptr[x] = utility::clamp<int, uint8_t>(support::cpp11::lround(result)); +#else // __aarch64__ + output_ptr[x] = utility::clamp<int, uint8_t>(support::cpp11::trunc(result)); +#endif // __aarch64__ + } + }, + input1, input2, output); + } +} + +void add_sub_qasymm8_signed_neon(const ITensor *src0, + const ITensor *src1, + ITensor *dst, + const ConvertPolicy &policy, + const Window &window, + bool is_addition) +{ + 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)); + + constexpr int window_step_x = 16; + 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 scale1 = iq1_info.scale / oq_info.scale; + const auto scale2 = is_addition ? (iq2_info.scale / oq_info.scale) : (-(iq2_info.scale / oq_info.scale)); + const auto offset = float(oq_info.offset) - scale1 * float(iq1_info.offset) - scale2 * float(iq2_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 af_scale = is_broadcast_input_2 ? scale1 : scale2; + const auto bf_scale = is_broadcast_input_2 ? scale2 : scale1; + const auto vscale1 = vdupq_n_f32(af_scale); + + // 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 auto broadcast_value = *reinterpret_cast<const int8_t *>(broadcast_input.ptr()); + const auto bf = vdupq_n_f32(float(broadcast_value) * scale2 + offset); + const auto bfs = float(broadcast_value) * bf_scale + offset; + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const int8x16_t a = vld1q_s8(non_broadcast_input_ptr + x); + + const auto a_s16_0 = vmovl_s8(vget_low_s8(a)); + const auto a_s16_1 = vmovl_s8(vget_high_s8(a)); + + const auto af_0 = vmlaq_f32(bf, vcvtq_f32_s32(vmovl_s16(vget_low_s16(a_s16_0))), vscale1); + const auto af_1 = vmlaq_f32(bf, vcvtq_f32_s32(vmovl_s16(vget_high_s16(a_s16_0))), vscale1); + const auto af_2 = vmlaq_f32(bf, vcvtq_f32_s32(vmovl_s16(vget_low_s16(a_s16_1))), vscale1); + const auto af_3 = vmlaq_f32(bf, vcvtq_f32_s32(vmovl_s16(vget_high_s16(a_s16_1))), vscale1); + + int32x4_t rf_0{}; + int32x4_t rf_1{}; + int32x4_t rf_2{}; + int32x4_t rf_3{}; + +#ifdef __aarch64__ + rf_0 = vcvtnq_s32_f32(af_0); + rf_1 = vcvtnq_s32_f32(af_1); + rf_2 = vcvtnq_s32_f32(af_2); + rf_3 = vcvtnq_s32_f32(af_3); +#else //__aarch64__ + rf_0 = vcvtq_s32_f32(af_0); + rf_1 = vcvtq_s32_f32(af_1); + rf_2 = vcvtq_s32_f32(af_2); + rf_3 = vcvtq_s32_f32(af_3); +#endif //__aarch64__ + + const int8x8_t pa = vqmovn_s16(vcombine_s16(vqmovn_s32(rf_0), vqmovn_s32(rf_1))); + const int8x8_t pb = vqmovn_s16(vcombine_s16(vqmovn_s32(rf_2), vqmovn_s32(rf_3))); + vst1q_s8(output_ptr + x, vcombine_s8(pa, pb)); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const auto result = float(non_broadcast_input_ptr[x]) * af_scale + bfs; +#ifdef __aarch64__ + output_ptr[x] = utility::clamp<int, int8_t>(support::cpp11::lround(result)); +#else // __aarch64__ + output_ptr[x] = utility::clamp<int, int8_t>(support::cpp11::trunc(result)); +#endif // __aarch64__ + } + }, + 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 = vdupq_n_f32(scale1); + const auto vscale2 = vdupq_n_f32(scale2); + const auto voffset = vdupq_n_f32(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()); + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const int8x16_t a = vld1q_s8(input1_ptr + x); + const int8x16_t b = vld1q_s8(input2_ptr + x); + + const auto a_s16_0 = vmovl_s8(vget_low_s8(a)); + const auto a_s16_1 = vmovl_s8(vget_high_s8(a)); + const auto b_s16_0 = vmovl_s8(vget_low_s8(b)); + const auto b_s16_1 = vmovl_s8(vget_high_s8(b)); + + const auto af_0 = vmlaq_f32(voffset, vcvtq_f32_s32(vmovl_s16(vget_low_s16(a_s16_0))), vscale1); + const auto af_1 = vmlaq_f32(voffset, vcvtq_f32_s32(vmovl_s16(vget_high_s16(a_s16_0))), vscale1); + const auto af_2 = vmlaq_f32(voffset, vcvtq_f32_s32(vmovl_s16(vget_low_s16(a_s16_1))), vscale1); + const auto af_3 = vmlaq_f32(voffset, vcvtq_f32_s32(vmovl_s16(vget_high_s16(a_s16_1))), vscale1); + + const auto bf_0 = vmlaq_f32(af_0, vcvtq_f32_s32(vmovl_s16(vget_low_s16(b_s16_0))), vscale2); + const auto bf_1 = vmlaq_f32(af_1, vcvtq_f32_s32(vmovl_s16(vget_high_s16(b_s16_0))), vscale2); + const auto bf_2 = vmlaq_f32(af_2, vcvtq_f32_s32(vmovl_s16(vget_low_s16(b_s16_1))), vscale2); + const auto bf_3 = vmlaq_f32(af_3, vcvtq_f32_s32(vmovl_s16(vget_high_s16(b_s16_1))), vscale2); + + int32x4_t rf_0{}; + int32x4_t rf_1{}; + int32x4_t rf_2{}; + int32x4_t rf_3{}; + +#ifdef __aarch64__ + rf_0 = vcvtnq_s32_f32(bf_0); + rf_1 = vcvtnq_s32_f32(bf_1); + rf_2 = vcvtnq_s32_f32(bf_2); + rf_3 = vcvtnq_s32_f32(bf_3); +#else //__aarch64__ + rf_0 = vcvtq_s32_f32(bf_0); + rf_1 = vcvtq_s32_f32(bf_1); + rf_2 = vcvtq_s32_f32(bf_2); + rf_3 = vcvtq_s32_f32(bf_3); +#endif //__aarch64__ + + const int8x8_t pa = vqmovn_s16(vcombine_s16(vqmovn_s32(rf_0), vqmovn_s32(rf_1))); + const int8x8_t pb = vqmovn_s16(vcombine_s16(vqmovn_s32(rf_2), vqmovn_s32(rf_3))); + vst1q_s8(output_ptr + x, vcombine_s8(pa, pb)); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const auto result = float(input1_ptr[x]) * scale1 + float(input2_ptr[x]) * scale2 + offset; +#ifdef __aarch64__ + output_ptr[x] = utility::clamp<int, int8_t>(support::cpp11::lround(result)); +#else // __aarch64__ + output_ptr[x] = utility::clamp<int, int8_t>(support::cpp11::trunc(result)); +#endif // __aarch64__ + } + }, + input1, input2, output); + } +} + +template void add_q8_neon_fixedpoint<int8_t>( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); +template void add_q8_neon_fixedpoint<uint8_t>( + const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); + +template void add_sub_q8_neon_fixedpoint<int8_t>(const ITensor *src0, + const ITensor *src1, + ITensor *dst, + const ConvertPolicy &policy, + const Window &window, + bool is_addition); +template void add_sub_q8_neon_fixedpoint<uint8_t>(const ITensor *src0, + const ITensor *src1, + ITensor *dst, + const ConvertPolicy &policy, + const Window &window, + 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); + +} // namespace cpu +} // namespace arm_compute |