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/*
* 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 "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"
#include "src/core/helpers/WindowHelpers.h"
#include "src/cpu/kernels/add/generic/neon/impl.h"
namespace arm_compute
{
namespace cpu
{
void add_qasymm8_signed_neon(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));
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 = 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);
}
}
} // namespace cpu
} // namespace arm_compute
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