Ddeepin-community-ci-bot[bot]feat: sync upstream
d58c8a6e创建于 2022年12月8日历史提交
// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 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 "cast_riscv.h"

#if __riscv_vector
#include <riscv_vector.h>
#endif // __riscv_vector

namespace ncnn {

Cast_riscv::Cast_riscv()
{
#if __riscv_vector
    support_packing = true;
#if __riscv_zfh
    support_fp16_storage = true;
#endif
#endif // __riscv_vector
}

int Cast_riscv::forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const
{
    if (type_from == type_to)
    {
        top_blob = bottom_blob;
        return 0;
    }

    int w = bottom_blob.w;
    int h = bottom_blob.h;
    int d = bottom_blob.d;
    int channels = bottom_blob.c;
    int dims = bottom_blob.dims;
    size_t elemsize = bottom_blob.elemsize;
    int elempack = bottom_blob.elempack;

    size_t out_elemsize = elemsize;
    if (type_to == 1)
    {
        // float32
        out_elemsize = 4 * elempack;
    }
    else if (type_to == 2)
    {
        // float16
        out_elemsize = 2 * elempack;
    }
    else if (type_to == 3)
    {
        // int8
        out_elemsize = elempack;
    }
    else if (type_to == 4)
    {
        // bfloat16
        out_elemsize = 2 * elempack;
    }

    if (dims == 1)
    {
        top_blob.create(w, out_elemsize, elempack, opt.blob_allocator);
    }
    else if (dims == 2)
    {
        top_blob.create(w, h, out_elemsize, elempack, opt.blob_allocator);
    }
    else if (dims == 3)
    {
        top_blob.create(w, h, channels, out_elemsize, elempack, opt.blob_allocator);
    }
    else if (dims == 4)
    {
        top_blob.create(w, h, d, channels, out_elemsize, elempack, opt.blob_allocator);
    }
    if (top_blob.empty())
        return -100;

    int size = w * h * d * elempack;

#if __riscv_vector && __riscv_zfh
    if (type_from == 1 && type_to == 2)
    {
        #pragma omp parallel for num_threads(opt.num_threads)
        for (int q = 0; q < channels; q++)
        {
            const float* ptr = bottom_blob.channel(q);
            __fp16* outptr = top_blob.channel(q);

            int n = size;
            while (n > 0)
            {
                size_t vl = vsetvl_e32m8(n);

                vfloat32m8_t _p = vle32_v_f32m8(ptr, vl);
                vfloat16m4_t _outp = vfncvt_f_f_w_f16m4(_p, vl);
                vse16_v_f16m4(outptr, _outp, vl);

                ptr += vl;
                outptr += vl;
                n -= vl;
            }
        }
    }

    if (type_from == 2 && type_to == 1)
    {
        #pragma omp parallel for num_threads(opt.num_threads)
        for (int q = 0; q < channels; q++)
        {
            const __fp16* ptr = bottom_blob.channel(q);
            float* outptr = top_blob.channel(q);

            int n = size;
            while (n > 0)
            {
                size_t vl = vsetvl_e16m4(n);

                vfloat16m4_t _p = vle16_v_f16m4(ptr, vl);
                vfloat32m8_t _outp = vfwcvt_f_f_v_f32m8(_p, vl);
                vse32_v_f32m8(outptr, _outp, vl);

                ptr += vl;
                outptr += vl;
                n -= vl;
            }
        }
    }
#endif // __riscv_vector && __riscv_zfh

    if (type_from == 3 && type_to == 1)
    {
        #pragma omp parallel for num_threads(opt.num_threads)
        for (int q = 0; q < channels; q++)
        {
            const signed char* ptr = bottom_blob.channel(q);
            float* outptr = top_blob.channel(q);

            for (int i = 0; i < size; i++)
            {
                outptr[i] = (float)ptr[i];
            }
        }
    }

    // TODO more cast type
    return Cast::forward(bottom_blob, top_blob, opt);
}

} // namespace ncnn