| /* |
| * 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/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 */ |