path: root/src/core/cpu/kernels/elementwise/neon/elementwise_quantized_list.h

/*
 * 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 */