// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.

#include "scale_arm.h"

#if __ARM_NEON
#include <arm_neon.h>
#endif // __ARM_NEON

namespace ncnn {

DEFINE_LAYER_CREATOR(Scale_arm)

int Scale_arm::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
{
    int dims = bottom_top_blob.dims;
    if (dims != 3)
        return Scale::forward_inplace(bottom_top_blob, opt);

    int w = bottom_top_blob.w;
    int h = bottom_top_blob.h;
    int channels = bottom_top_blob.c;
    int size = w * h;

    if (bias_term)
    {
        const float* scale_ptr = scale_data;
        const float* bias_ptr = bias_data;
        #pragma omp parallel for num_threads(opt.num_threads)
        for (int q=0; q<channels; q++)
        {
            float* ptr = bottom_top_blob.channel(q);

            float s = scale_ptr[q];
            float bias = bias_ptr[q];

#if __ARM_NEON
            int nn = size >> 2;
            int remain = size - (nn << 2);
#else
            int remain = size;
#endif // __ARM_NEON

#if __ARM_NEON
            float32x4_t _s = vdupq_n_f32(s);
            float32x4_t _bias = vdupq_n_f32(bias);
            for (; nn>0; nn--)
            {
                float32x4_t _p = vld1q_f32(ptr);
                _p = vmlaq_f32(_bias, _p, _s);
                vst1q_f32(ptr, _p);

                ptr += 4;
            }
#endif // __ARM_NEON

            for (; remain>0; remain--)
            {
                *ptr = *ptr * s + bias;

                ptr++;
            }
        }
    }
    else
    {
        const float* scale_ptr = scale_data;
        #pragma omp parallel for num_threads(opt.num_threads)
        for (int q=0; q<channels; q++)
        {
            float* ptr = bottom_top_blob.channel(q);

            float s = scale_ptr[q];

#if __ARM_NEON
            int nn = size >> 2;
            int remain = size - (nn << 2);
#else
            int remain = size;
#endif // __ARM_NEON

#if __ARM_NEON
            float32x4_t _s = vdupq_n_f32(s);
            for (; nn>0; nn--)
            {
                float32x4_t _p = vld1q_f32(ptr);
                _p = vmulq_f32(_p, _s);
                vst1q_f32(ptr, _p);

                ptr += 4;
            }
#endif // __ARM_NEON

            for (; remain>0; remain--)
            {
                *ptr *= s;

                ptr++;
            }
        }
    }

    return 0;
}

} // namespace ncnn