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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, 654 insertions, 0 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 new file mode 100644 index 0000000000..1ff4632f5c --- /dev/null +++ b/src/core/cpu/kernels/elementwise/neon/elementwise_quantized_list.h @@ -0,0 +1,654 @@ +/* + * 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 */ |