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Diffstat (limited to 'src/core/cpu/kernels/elementwise/neon/elementwise_quantized_list.h')
| -rw-r--r-- | src/core/cpu/kernels/elementwise/neon/elementwise_quantized_list.h | 654 |
1 files changed, 0 insertions, 654 deletions
diff --git a/src/core/cpu/kernels/elementwise/neon/elementwise_quantized_list.h b/src/core/cpu/kernels/elementwise/neon/elementwise_quantized_list.h deleted file mode 100644 index 1ff4632f5c..0000000000 --- a/src/core/cpu/kernels/elementwise/neon/elementwise_quantized_list.h +++ /dev/null @@ -1,654 +0,0 @@ -/* - * 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. - */ -#ifndef SRC_CORE_NEON_KERNELS_ELEMENTWISE_QUANTIZED_LIST_H -#define SRC_CORE_NEON_KERNELS_ELEMENTWISE_QUANTIZED_LIST_H - -#include "src/core/cpu/kernels/elementwise/neon/elementwise_list.h" - -namespace arm_compute -{ -namespace cpu -{ -float32x4x4_t load_quantized(const uint8_t *input1_ptr, const int32x4_t &offset, const float32x4_t &scale) -{ - qasymm8x16_t x = vld1q_u8(input1_ptr); - const float32x4x4_t out = - { - { - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(x))))), offset)), scale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(x))))), offset)), scale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(x))))), offset)), scale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(x))))), offset)), scale), - } - }; - return out; -} - -float32x4x4_t load_quantized_signed(const int8_t *input1_ptr, const int32x4_t &offset, const float32x4_t &scale) -{ - qasymm8x16_signed_t x = vld1q_s8(input1_ptr); - const float32x4x4_t out = - { - { - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_low_s8(x)))), offset)), scale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_low_s8(x)))), offset)), scale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_high_s8(x)))), offset)), scale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_high_s8(x)))), offset)), scale), - } - }; - return out; -} - -void store_quantized(uint8_t *output_ptr, const uint32x4x4_t &out) -{ - const uint8x8_t pa = vqmovn_u16(vcombine_u16(vqmovn_u32(out.val[0]), vqmovn_u32(out.val[1]))); - const uint8x8_t pb = vqmovn_u16(vcombine_u16(vqmovn_u32(out.val[2]), vqmovn_u32(out.val[3]))); - vst1q_u8(output_ptr, vcombine_u8(pa, pb)); -} - -void store_quantized(uint8_t *output_ptr, const int32x4x4_t &out) -{ - const uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(out.val[0]), vqmovn_s32(out.val[1]))); - const uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(out.val[2]), vqmovn_s32(out.val[3]))); - vst1q_u8(output_ptr, vcombine_u8(pa, pb)); -} - -void store_quantized(uint8_t *output_ptr, const float32x4x4_t &rf, const float32x4_t &offset, const float32x4_t &invscale) -{ - int32x4x4_t out = - { - { - vcvtq_s32_f32(vmlaq_f32(offset, rf.val[0], invscale)), - vcvtq_s32_f32(vmlaq_f32(offset, rf.val[1], invscale)), - vcvtq_s32_f32(vmlaq_f32(offset, rf.val[2], invscale)), - vcvtq_s32_f32(vmlaq_f32(offset, rf.val[3], invscale)), - } - }; - store_quantized(output_ptr, out); -} - -void store_quantized_signed(int8_t *output_ptr, const int32x4x4_t &out) -{ - const int8x8_t pa = vqmovn_s16(vcombine_s16(vqmovn_s32(out.val[0]), vqmovn_s32(out.val[1]))); - const int8x8_t pb = vqmovn_s16(vcombine_s16(vqmovn_s32(out.val[2]), vqmovn_s32(out.val[3]))); - vst1q_s8(output_ptr, vcombine_s8(pa, pb)); -} - -void store_quantized_signed(int8_t *output_ptr, const float32x4x4_t &rf, const float32x4_t &offset, const float32x4_t &invscale) -{ - int32x4x4_t out = - { - { - vcvtq_s32_f32(vmlaq_f32(offset, rf.val[0], invscale)), - vcvtq_s32_f32(vmlaq_f32(offset, rf.val[1], invscale)), - vcvtq_s32_f32(vmlaq_f32(offset, rf.val[2], invscale)), - vcvtq_s32_f32(vmlaq_f32(offset, rf.val[3], invscale)), - } - }; - store_quantized_signed(output_ptr, out); -} - -template <ArithmeticOperation op> -inline uint8_t elementwise_arithm_op_quantized_scalar(const float &a, const float &b, UniformQuantizationInfo qinfo) -{ - return quantize_qasymm8(elementwise_arithm_op_scalar<op>(a, b), qinfo); -} - -template <ArithmeticOperation op> -inline int8_t elementwise_arithm_op_quantized_signed_scalar(const float &a, const float &b, UniformQuantizationInfo qinfo) -{ - return quantize_qasymm8_signed(elementwise_arithm_op_scalar<op>(a, b), qinfo); -} - -template <ArithmeticOperation op> -inline float32x4x4_t elementwise_arithm_op(const float32x4x4_t &a, const float32x4x4_t &b) -{ - using neon_vector_float = wrapper::traits::neon_vector<float, 4>; - float32x4x4_t out = - { - { - elementwise_arithm_op<op, neon_vector_float>(a.val[0], b.val[0]), - elementwise_arithm_op<op, neon_vector_float>(a.val[1], b.val[1]), - elementwise_arithm_op<op, neon_vector_float>(a.val[2], b.val[2]), - elementwise_arithm_op<op, neon_vector_float>(a.val[3], b.val[3]), - } - }; - return out; -} - -template <ComparisonOperation op> -inline uint8_t elementwise_comp_op_quantized_scalar(const float &a, const float &b, UniformQuantizationInfo qinfo) -{ - ARM_COMPUTE_UNUSED(qinfo); - return elementwise_comp_op_scalar<op>(a, b); -} - -template <ComparisonOperation op> -inline uint32x4x4_t elementwise_comp_op(const float32x4x4_t &a, const float32x4x4_t &b) -{ - uint32x4x4_t out = - { - { - elementwise_comp_op<op, float32x4_t, uint32x4_t>(a.val[0], b.val[0]), - elementwise_comp_op<op, float32x4_t, uint32x4_t>(a.val[1], b.val[1]), - elementwise_comp_op<op, float32x4_t, uint32x4_t>(a.val[2], b.val[2]), - elementwise_comp_op<op, float32x4_t, uint32x4_t>(a.val[3], b.val[3]) - } - }; - return out; -} - -template <ArithmeticOperation op> -inline int elementwise_arithm_op_quantized_loop(int window_start_x, int window_end_x, int window_step_x, - const uint8_t *input1_ptr, const uint8_t *input2_ptr, uint8_t *output_ptr, - int32x4_t voffset1, int32x4_t voffset2, float32x4_t vscale1, float32x4_t vscale2, - float32x4_t voffseto, float32x4_t invvscaleo) -{ - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - // Get inputs and compute output - const float32x4x4_t af = load_quantized(input1_ptr + x, voffset1, vscale1); - const float32x4x4_t bf = load_quantized(input2_ptr + x, voffset2, vscale2); - const float32x4x4_t rf = elementwise_arithm_op<op>(af, bf); - store_quantized(output_ptr + x, rf, voffseto, invvscaleo); - } - return x; -} - -template <ArithmeticOperation op> -inline int elementwise_arithm_op_quantized_singed_loop(int window_start_x, int window_end_x, int window_step_x, - const int8_t *input1_ptr, const int8_t *input2_ptr, int8_t *output_ptr, - int32x4_t voffset1, int32x4_t voffset2, float32x4_t vscale1, float32x4_t vscale2, - float32x4_t voffseto, float32x4_t invvscaleo) -{ - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - // Get inputs and compute output - const float32x4x4_t af = load_quantized_signed(input1_ptr + x, voffset1, vscale1); - const float32x4x4_t bf = load_quantized_signed(input2_ptr + x, voffset2, vscale2); - const float32x4x4_t rf = elementwise_arithm_op<op>(af, bf); - store_quantized_signed(output_ptr + x, rf, voffseto, invvscaleo); - } - return x; -} - -template <ArithmeticOperation op> -inline int elementwise_arithm_op_quantized_broadcast_loop(int window_start_x, int window_end_x, int window_step_x, - const uint8_t *non_broadcast_input_ptr, float32x4x4_t broadcast_vector, uint8_t *output_ptr, - int32x4_t voffset_non_broadcast, float32x4_t vscale_non_broadcast, - float32x4_t voffseto, float32x4_t invvscaleo, bool reorder) -{ - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const float32x4x4_t af = load_quantized(non_broadcast_input_ptr + x, voffset_non_broadcast, vscale_non_broadcast); - const float32x4x4_t rf = elementwise_arithm_op<op>(reorder ? broadcast_vector : af, reorder ? af : broadcast_vector); - store_quantized(output_ptr + x, rf, voffseto, invvscaleo); - } - return x; -} -template <ArithmeticOperation op> -inline int elementwise_arithm_op_quantized_signed_broadcast_loop(int window_start_x, int window_end_x, int window_step_x, - const int8_t *non_broadcast_input_ptr, float32x4x4_t broadcast_vector, int8_t *output_ptr, - int32x4_t voffset_non_broadcast, float32x4_t vscale_non_broadcast, - float32x4_t voffseto, float32x4_t invvscaleo, bool reorder) -{ - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const float32x4x4_t af = load_quantized_signed(non_broadcast_input_ptr + x, voffset_non_broadcast, vscale_non_broadcast); - const float32x4x4_t rf = elementwise_arithm_op<op>(reorder ? broadcast_vector : af, reorder ? af : broadcast_vector); - store_quantized_signed(output_ptr + x, rf, voffseto, invvscaleo); - } - return x; -} - -template <ComparisonOperation op> -inline int elementwise_comp_op_quantized_loop(int window_start_x, int window_end_x, int window_step_x, - const uint8_t *input1_ptr, const uint8_t *input2_ptr, uint8_t *output_ptr, - int32x4_t voffset1, int32x4_t voffset2, float32x4_t vscale1, float32x4_t vscale2, - float32x4_t voffseto, float32x4_t invvscaleo) -{ - ARM_COMPUTE_UNUSED(voffseto, invvscaleo); - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const float32x4x4_t af = load_quantized(input1_ptr + x, voffset1, vscale1); - const float32x4x4_t bf = load_quantized(input2_ptr + x, voffset2, vscale2); - const uint32x4x4_t rf = elementwise_comp_op<op>(af, bf); - store_quantized(output_ptr + x, rf); - } - return x; -} - -template <ComparisonOperation op> -inline int elementwise_comp_op_quantized_signed_loop(int window_start_x, int window_end_x, int window_step_x, - const int8_t *input1_ptr, const int8_t *input2_ptr, uint8_t *output_ptr, - int32x4_t voffset1, int32x4_t voffset2, float32x4_t vscale1, float32x4_t vscale2, - float32x4_t voffseto, float32x4_t invvscaleo) -{ - ARM_COMPUTE_UNUSED(voffseto, invvscaleo); - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const float32x4x4_t af = load_quantized_signed(input1_ptr + x, voffset1, vscale1); - const float32x4x4_t bf = load_quantized_signed(input2_ptr + x, voffset2, vscale2); - const uint32x4x4_t rf = elementwise_comp_op<op>(af, bf); - store_quantized(output_ptr + x, rf); - } - return x; -} - -template <ComparisonOperation op> -inline int elementwise_comp_op_quantized_broadcast_loop(int window_start_x, int window_end_x, int window_step_x, - const uint8_t *non_broadcast_input_ptr, float32x4x4_t broadcast_vector, uint8_t *output_ptr, - int32x4_t voffset_non_broadcast, float32x4_t vscale_non_broadcast, - float32x4_t voffseto, float32x4_t invvscaleo, bool reorder) -{ - ARM_COMPUTE_UNUSED(voffseto, invvscaleo); - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const float32x4x4_t af = load_quantized(non_broadcast_input_ptr + x, voffset_non_broadcast, vscale_non_broadcast); - const uint32x4x4_t rf = elementwise_comp_op<op>(reorder ? broadcast_vector : af, reorder ? af : broadcast_vector); - store_quantized(output_ptr + x, rf); - } - return x; -} - -template <ComparisonOperation op> -inline int elementwise_comp_op_quantized_signed_broadcast_loop(int window_start_x, int window_end_x, int window_step_x, - const int8_t *non_broadcast_input_ptr, float32x4x4_t broadcast_vector, uint8_t *output_ptr, - int32x4_t voffset_non_broadcast, float32x4_t vscale_non_broadcast, - float32x4_t voffseto, float32x4_t invvscaleo, bool reorder) -{ - ARM_COMPUTE_UNUSED(voffseto, invvscaleo); - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const float32x4x4_t af = load_quantized_signed(non_broadcast_input_ptr + x, voffset_non_broadcast, vscale_non_broadcast); - const uint32x4x4_t rf = elementwise_comp_op<op>(reorder ? broadcast_vector : af, reorder ? af : broadcast_vector); - store_quantized(output_ptr + x, rf); - } - return x; -} - -void elementwise_op_quantized(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window, - uint8_t (*scalar_func)(const float &, const float &, UniformQuantizationInfo), - int (*broadcast_func)(int, int, int, const uint8_t *, float32x4x4_t, uint8_t *, int32x4_t, float32x4_t, - float32x4_t, float32x4_t, const bool), - int (*neon_func)(int, int, int, const uint8_t *, const uint8_t *, uint8_t *, - int32x4_t, int32x4_t, float32x4_t, float32x4_t, - float32x4_t, float32x4_t)) -{ - // Create input windows - Window input1_win = window.broadcast_if_dimension_le_one(in1->info()->tensor_shape()); - Window input2_win = window.broadcast_if_dimension_le_one(in2->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 = 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 = in1->info()->tensor_shape().x() != in2->info()->tensor_shape().x(); - - const UniformQuantizationInfo output_qinfo = out->info()->quantization_info().uniform(); - - // Output quantization info (add 0.5 to round toward the nearest integer - 0.5 rounds away from zero) - const float32x4_t voffseto = vdupq_n_f32(output_qinfo.offset + 0.5f); - const float32x4_t invvscaleo = vdupq_n_f32(1.f / output_qinfo.scale); - - if(is_broadcast_across_x) - { - // Select the broadcast input on the X axis - 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 ? in2 : in1; - const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1; - - const UniformQuantizationInfo broadcast_qinfo = broadcast_tensor->info()->quantization_info().uniform(); - const UniformQuantizationInfo non_broadcast_qinfo = non_broadcast_tensor->info()->quantization_info().uniform(); - - const int32x4_t voffset_non_broadcast = vdupq_n_s32(non_broadcast_qinfo.offset); - const float32x4_t vscale_non_broadcast = vdupq_n_f32(non_broadcast_qinfo.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(out, win); - - execute_window_loop(win, [&](const Coordinates &) - { - const auto non_broadcast_input_ptr = reinterpret_cast<const uint8_t *>(non_broadcast_input.ptr()); - const auto output_ptr = reinterpret_cast<uint8_t *>(output.ptr()); - - const uint8_t broadcast_value = *reinterpret_cast<const uint8_t *>(broadcast_input.ptr()); - const float32x4x4_t broadcast_vector = vdequantize(vdupq_n_u8(broadcast_value), broadcast_qinfo); - - int x = (*broadcast_func)(window_start_x, window_end_x, window_step_x, non_broadcast_input_ptr, broadcast_vector, output_ptr, - voffset_non_broadcast, vscale_non_broadcast, voffseto, invvscaleo, !is_broadcast_input_2); - for(; x < window_end_x; ++x) - { - const float afs = dequantize_qasymm8(*(non_broadcast_input_ptr + x), non_broadcast_qinfo); - const float bfs = dequantize_qasymm8(broadcast_value, broadcast_qinfo); - *(output_ptr + x) = (*scalar_func)(!is_broadcast_input_2 ? bfs : afs, !is_broadcast_input_2 ? afs : bfs, output_qinfo); - } - }, - broadcast_input, non_broadcast_input, output); - } - else - { - const UniformQuantizationInfo input1_qinfo = in1->info()->quantization_info().uniform(); - const UniformQuantizationInfo input2_qinfo = in2->info()->quantization_info().uniform(); - - // Input1 quantization info - const int32x4_t voffset1 = vdupq_n_s32(input1_qinfo.offset); - const float32x4_t vscale1 = vdupq_n_f32(input1_qinfo.scale); - - // Input2 quantization info - const int32x4_t voffset2 = vdupq_n_s32(input2_qinfo.offset); - const float32x4_t vscale2 = vdupq_n_f32(input2_qinfo.scale); - - // 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(in1, input1_win); - Iterator input2(in2, input2_win); - Iterator output(out, win); - - execute_window_loop(win, [&](const Coordinates &) - { - const auto input1_ptr = reinterpret_cast<const uint8_t *>(input1.ptr()); - const auto input2_ptr = reinterpret_cast<const uint8_t *>(input2.ptr()); - const auto output_ptr = reinterpret_cast<uint8_t *>(output.ptr()); - - int x = (*neon_func)(window_start_x, window_end_x, window_step_x, input1_ptr, input2_ptr, output_ptr, voffset1, voffset2, - vscale1, vscale2, voffseto, invvscaleo); - for(; x < window_end_x; ++x) - { - const float afs = dequantize_qasymm8(*(input1_ptr + x), input1_qinfo); - const float bfs = dequantize_qasymm8(*(input2_ptr + x), input2_qinfo); - *(output_ptr + x) = (*scalar_func)(afs, bfs, output_qinfo); - } - }, - input1, input2, output); - } -} - -void elementwise_comp_quantized_signed(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window, - uint8_t (*scalar_func)(const float &, const float &, UniformQuantizationInfo), - int (*broadcast_func)(int, int, int, const int8_t *, float32x4x4_t, uint8_t *, int32x4_t, float32x4_t, - float32x4_t, float32x4_t, const bool), - int (*neon_func)(int, int, int, const int8_t *, const int8_t *, uint8_t *, - int32x4_t, int32x4_t, float32x4_t, float32x4_t, - float32x4_t, float32x4_t)) -{ - // Create input windows - Window input1_win = window.broadcast_if_dimension_le_one(in1->info()->tensor_shape()); - Window input2_win = window.broadcast_if_dimension_le_one(in2->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 = 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 = in1->info()->tensor_shape().x() != in2->info()->tensor_shape().x(); - - const UniformQuantizationInfo output_qinfo = out->info()->quantization_info().uniform(); - - const float32x4_t voffseto = vdupq_n_f32(output_qinfo.offset); - const float32x4_t invvscaleo = vdupq_n_f32(1.f / output_qinfo.scale); - - if(is_broadcast_across_x) - { - // Select the broadcast input on the X axis - 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 ? in2 : in1; - const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1; - - const UniformQuantizationInfo broadcast_qinfo = broadcast_tensor->info()->quantization_info().uniform(); - const UniformQuantizationInfo non_broadcast_qinfo = non_broadcast_tensor->info()->quantization_info().uniform(); - - const int32x4_t voffset_non_broadcast = vdupq_n_s32(non_broadcast_qinfo.offset); - const float32x4_t vscale_non_broadcast = vdupq_n_f32(non_broadcast_qinfo.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(out, 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<uint8_t *>(output.ptr()); - - const int8_t broadcast_value = *reinterpret_cast<const int8_t *>(broadcast_input.ptr()); - const float32x4x4_t broadcast_vector = vdequantize(vdupq_n_s8(broadcast_value), broadcast_qinfo); - - int x = (*broadcast_func)(window_start_x, window_end_x, window_step_x, non_broadcast_input_ptr, broadcast_vector, output_ptr, - voffset_non_broadcast, vscale_non_broadcast, voffseto, invvscaleo, !is_broadcast_input_2); - for(; x < window_end_x; ++x) - { - const float afs = dequantize_qasymm8_signed(*(non_broadcast_input_ptr + x), non_broadcast_qinfo); - const float bfs = dequantize_qasymm8_signed(broadcast_value, broadcast_qinfo); - *(output_ptr + x) = (*scalar_func)(!is_broadcast_input_2 ? bfs : afs, !is_broadcast_input_2 ? afs : bfs, output_qinfo); - } - }, - broadcast_input, non_broadcast_input, output); - } - else - { - const UniformQuantizationInfo input1_qinfo = in1->info()->quantization_info().uniform(); - const UniformQuantizationInfo input2_qinfo = in2->info()->quantization_info().uniform(); - - // Input1 quantization info - const int32x4_t voffset1 = vdupq_n_s32(input1_qinfo.offset); - const float32x4_t vscale1 = vdupq_n_f32(input1_qinfo.scale); - - // Input2 quantization info - const int32x4_t voffset2 = vdupq_n_s32(input2_qinfo.offset); - const float32x4_t vscale2 = vdupq_n_f32(input2_qinfo.scale); - - // 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(in1, input1_win); - Iterator input2(in2, input2_win); - Iterator output(out, win); - - 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<uint8_t *>(output.ptr()); - - int x = (*neon_func)(window_start_x, window_end_x, window_step_x, input1_ptr, input2_ptr, output_ptr, voffset1, voffset2, - vscale1, vscale2, voffseto, invvscaleo); - for(; x < window_end_x; ++x) - { - const float afs = dequantize_qasymm8_signed(*(input1_ptr + x), input1_qinfo); - const float bfs = dequantize_qasymm8_signed(*(input2_ptr + x), input2_qinfo); - *(output_ptr + x) = (*scalar_func)(afs, bfs, output_qinfo); - } - }, - input1, input2, output); - } -} - -void elementwise_op_quantized_signed(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window, - int8_t (*scalar_func)(const float &, const float &, UniformQuantizationInfo), - int (*broadcast_func)(int, int, int, const int8_t *, float32x4x4_t, int8_t *, int32x4_t, float32x4_t, - float32x4_t, float32x4_t, const bool), - int (*neon_func)(int, int, int, const int8_t *, const int8_t *, int8_t *, - int32x4_t, int32x4_t, float32x4_t, float32x4_t, - float32x4_t, float32x4_t)) -{ - // Create input windows - Window input1_win = window.broadcast_if_dimension_le_one(in1->info()->tensor_shape()); - Window input2_win = window.broadcast_if_dimension_le_one(in2->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 = 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 = in1->info()->tensor_shape().x() != in2->info()->tensor_shape().x(); - - const UniformQuantizationInfo output_qinfo = out->info()->quantization_info().uniform(); - - const float32x4_t voffseto = vdupq_n_f32(output_qinfo.offset); - const float32x4_t invvscaleo = vdupq_n_f32(1.f / output_qinfo.scale); - - if(is_broadcast_across_x) - { - // Select the broadcast input on the X axis - 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 ? in2 : in1; - const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1; - - const UniformQuantizationInfo broadcast_qinfo = broadcast_tensor->info()->quantization_info().uniform(); - const UniformQuantizationInfo non_broadcast_qinfo = non_broadcast_tensor->info()->quantization_info().uniform(); - - const int32x4_t voffset_non_broadcast = vdupq_n_s32(non_broadcast_qinfo.offset); - const float32x4_t vscale_non_broadcast = vdupq_n_f32(non_broadcast_qinfo.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(out, 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 int8_t broadcast_value = *reinterpret_cast<const int8_t *>(broadcast_input.ptr()); - const float32x4x4_t broadcast_vector = vdequantize(vdupq_n_s8(broadcast_value), broadcast_qinfo); - - int x = (*broadcast_func)(window_start_x, window_end_x, window_step_x, non_broadcast_input_ptr, broadcast_vector, output_ptr, - voffset_non_broadcast, vscale_non_broadcast, voffseto, invvscaleo, !is_broadcast_input_2); - for(; x < window_end_x; ++x) - { - const float afs = dequantize_qasymm8_signed(*(non_broadcast_input_ptr + x), non_broadcast_qinfo); - const float bfs = dequantize_qasymm8_signed(broadcast_value, broadcast_qinfo); - *(output_ptr + x) = (*scalar_func)(!is_broadcast_input_2 ? bfs : afs, !is_broadcast_input_2 ? afs : bfs, output_qinfo); - } - }, - broadcast_input, non_broadcast_input, output); - } - else - { - const UniformQuantizationInfo input1_qinfo = in1->info()->quantization_info().uniform(); - const UniformQuantizationInfo input2_qinfo = in2->info()->quantization_info().uniform(); - - // Input1 quantization info - const int32x4_t voffset1 = vdupq_n_s32(input1_qinfo.offset); - const float32x4_t vscale1 = vdupq_n_f32(input1_qinfo.scale); - - // Input2 quantization info - const int32x4_t voffset2 = vdupq_n_s32(input2_qinfo.offset); - const float32x4_t vscale2 = vdupq_n_f32(input2_qinfo.scale); - - // 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(in1, input1_win); - Iterator input2(in2, input2_win); - Iterator output(out, win); - - 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()); - - int x = (*neon_func)(window_start_x, window_end_x, window_step_x, input1_ptr, input2_ptr, output_ptr, voffset1, voffset2, - vscale1, vscale2, voffseto, invvscaleo); - for(; x < window_end_x; ++x) - { - const float afs = dequantize_qasymm8_signed(*(input1_ptr + x), input1_qinfo); - const float bfs = dequantize_qasymm8_signed(*(input2_ptr + x), input2_qinfo); - *(output_ptr + x) = (*scalar_func)(afs, bfs, output_qinfo); - } - }, - input1, input2, output); - } -} - -template <ArithmeticOperation op> -void elementwise_arithm_op_quantized(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) -{ - elementwise_op_quantized(in1, in2, out, window, &elementwise_arithm_op_quantized_scalar<op>, - &elementwise_arithm_op_quantized_broadcast_loop<op>, - &elementwise_arithm_op_quantized_loop<op>); -} -template <ArithmeticOperation op> -void elementwise_arithm_op_quantized_signed(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) -{ - elementwise_op_quantized_signed(in1, in2, out, window, &elementwise_arithm_op_quantized_signed_scalar<op>, - &elementwise_arithm_op_quantized_signed_broadcast_loop<op>, - &elementwise_arithm_op_quantized_singed_loop<op>); -} - -template <ComparisonOperation op> -void elementwise_comp_op_quantized(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) -{ - elementwise_op_quantized(in1, in2, out, window, &elementwise_comp_op_quantized_scalar<op>, - &elementwise_comp_op_quantized_broadcast_loop<op>, - &elementwise_comp_op_quantized_loop<op>); -} - -template <ComparisonOperation op> -void elementwise_comp_op_quantized_signed(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) -{ - elementwise_comp_quantized_signed(in1, in2, out, window, &elementwise_comp_op_quantized_scalar<op>, - &elementwise_comp_op_quantized_signed_broadcast_loop<op>, - &elementwise_comp_op_quantized_signed_loop<op>); -} -} // namespace cpu -} // namespace arm_compute - -#endif /* SRC_CORE_NEON_KERNELS_ELEMENTWISE_QUANTIZED_LIST_H */ |