| /* |
| * Copyright (c) 2020-2022 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/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 |
| { |
| 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 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_same_neon<float>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); |
| template void add_same_neon<uint8_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); |
| template void add_same_neon<int32_t>(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window); |
| template void add_same_neon<int16_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_neon<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) */ |
| |
| 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 |