diff options
Diffstat (limited to 'src/cpu/kernels/sub/neon/qsymm16.cpp')
| -rw-r--r-- | src/cpu/kernels/sub/neon/qsymm16.cpp | 197 |
1 files changed, 197 insertions, 0 deletions
diff --git a/src/cpu/kernels/sub/neon/qsymm16.cpp b/src/cpu/kernels/sub/neon/qsymm16.cpp new file mode 100644 index 0000000000..23e4b03843 --- /dev/null +++ b/src/cpu/kernels/sub/neon/qsymm16.cpp @@ -0,0 +1,197 @@ +/* + * Copyright (c) 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/helpers/WindowHelpers.h" +#include "src/core/NEON/wrapper/intrinsics/intrinsics.h" + +namespace arm_compute +{ +namespace cpu +{ +void sub_qsymm16_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)); + + const int window_step_x = 8; + 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 float32x4_t vscale1 = vdupq_n_f32(iq1_info.scale); + const float32x4_t vscale2 = vdupq_n_f32(iq2_info.scale); + const float32x4_t invvscaleo = vdupq_n_f32(1.f / oq_info.scale); + + 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 UniformQuantizationInfo broadcast_qinfo = broadcast_tensor->info()->quantization_info().uniform(); + const UniformQuantizationInfo non_broadcast_qinfo = non_broadcast_tensor->info()->quantization_info().uniform(); + + // 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 int16x8_t broadcast_value_vec = vdupq_n_s16(broadcast_value); + + const float32x4x2_t bf = {{ + vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(broadcast_value_vec))), vscale2), + vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(broadcast_value_vec))), vscale2), + }}; + const float bfs = static_cast<int32_t>(broadcast_value) * broadcast_qinfo.scale; + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const int16x8_t a = vld1q_s16(non_broadcast_input_ptr + x); + const float32x4x2_t af = {{ + vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(a))), vscale1), + vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(a))), vscale1), + }}; + + const int32x4x4_t rf = {{ +#ifdef __aarch64__ + vcvtnq_s32_f32(vmulq_f32(is_broadcast_input_2 ? vsubq_f32(bf.val[0], af.val[0]) + : vsubq_f32(af.val[0], bf.val[0]), + invvscaleo)), + vcvtnq_s32_f32(vmulq_f32(is_broadcast_input_2 ? vsubq_f32(bf.val[1], af.val[1]) + : vsubq_f32(af.val[1], bf.val[1]), + invvscaleo)), +#else //__aarch64__ + vcvtq_s32_f32(vmulq_f32(is_broadcast_input_2 ? vsubq_f32(bf.val[0], af.val[0]) + : vsubq_f32(af.val[0], bf.val[0]), + invvscaleo)), + vcvtq_s32_f32(vmulq_f32(is_broadcast_input_2 ? vsubq_f32(bf.val[1], af.val[1]) + : vsubq_f32(af.val[1], bf.val[1]), + invvscaleo)), +#endif //__aarch64__ + }}; + + const int16x8_t pa = vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1])); + vst1q_s16(output_ptr + x, pa); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const float afs = static_cast<int32_t>(*(non_broadcast_input_ptr + x)) * non_broadcast_qinfo.scale; + *(output_ptr + x) = quantize_qsymm16(is_broadcast_input_2 ? (bfs - afs) : (afs - bfs), oq_info); + } + }, + 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()); + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const int16x8_t a = vld1q_s16(input1_ptr + x); + const int16x8_t b = vld1q_s16(input2_ptr + x); + + const float32x4x2_t af = {{ + vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(a))), vscale1), + vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(a))), vscale1), + }}; + + const float32x4x2_t bf = {{ + vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(b))), vscale2), + vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(b))), vscale2), + }}; + + const int32x4x2_t rf = {{ +#ifdef __aarch64__ + vcvtnq_s32_f32(vmulq_f32(vsubq_f32(af.val[0], bf.val[0]), invvscaleo)), + vcvtnq_s32_f32(vmulq_f32(vsubq_f32(af.val[1], bf.val[1]), invvscaleo)), +#else //__aarch64__ + vcvtq_s32_f32(vmulq_f32(vsubq_f32(af.val[0], bf.val[0]), invvscaleo)), + vcvtq_s32_f32(vmulq_f32(vsubq_f32(af.val[1], bf.val[1]), invvscaleo)), +#endif //__aarch64__ + }}; + + const int16x8_t pa = vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1])); + vst1q_s16(output_ptr + x, pa); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const float afs = static_cast<int32_t>((*(input1_ptr + x))) * iq1_info.scale; + const float bfs = static_cast<int32_t>((*(input2_ptr + x))) * iq2_info.scale; + *(output_ptr + x) = quantize_qsymm16((afs - bfs), dst->info()->quantization_info()); + } + }, + input1, input2, output); + } +} +} // namespace cpu +} // namespace arm_compute |