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authorOmar Al Khatib <omar.alkhatib@arm.com>2022-12-20 14:36:45 +0000
committerOmar Al Khatib <omar.alkhatib@arm.com>2022-12-29 09:14:15 +0000
commit939b21ad4b9ed15d43b4ee8b17484e57ed55a01f (patch)
tree6c90f78ad73161ffd0f54956a77fa50ef1916819 /src/cpu/kernels/add/generic/neon/qasymm8.cpp
parentbb1ab0505452691d0e536921cd4c4e2ce32e40ed (diff)
downloadComputeLibrary-939b21ad4b9ed15d43b4ee8b17484e57ed55a01f.tar.gz
Use CPU quantized addition kernel for quantized subtraction
Resolves : [COMPMID-5629] Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Change-Id: I061ea5bdafa3a01e66ff869d158f26a38d19e125 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8835 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/cpu/kernels/add/generic/neon/qasymm8.cpp')
-rw-r--r--src/cpu/kernels/add/generic/neon/qasymm8.cpp182
1 files changed, 1 insertions, 181 deletions
diff --git a/src/cpu/kernels/add/generic/neon/qasymm8.cpp b/src/cpu/kernels/add/generic/neon/qasymm8.cpp
index d8b4bca292..69cca956c8 100644
--- a/src/cpu/kernels/add/generic/neon/qasymm8.cpp
+++ b/src/cpu/kernels/add/generic/neon/qasymm8.cpp
@@ -21,12 +21,8 @@
* 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
@@ -35,183 +31,7 @@ namespace cpu
{
void add_qasymm8_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 = 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);
- }
+ add_sub_qasymm8_neon(src0, src1, dst, policy, window, true /*is_addition*/);
}
} // namespace cpu
} // namespace arm_compute \ No newline at end of file