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// Tencent is pleased to support the open source community by making ncnn available. |
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// |
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// Copyright (C) 2022 THL A29 Limited, a Tencent company. All rights reserved. |
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// |
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except |
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// in compliance with the License. You may obtain a copy of the License at |
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// |
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// https://opensource.org/licenses/BSD-3-Clause |
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// |
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// Unless required by applicable law or agreed to in writing, software distributed |
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR |
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the |
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// specific language governing permissions and limitations under the License. |
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#include "cast_mips.h" |
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#if __mips_msa |
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#include <msa.h> |
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#endif // __mips_msa |
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namespace ncnn { |
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Cast_mips::Cast_mips() |
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{ |
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support_packing = true; |
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} |
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int Cast_mips::forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const |
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{ |
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if (type_from == type_to) |
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{ |
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top_blob = bottom_blob; |
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return 0; |
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} |
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int w = bottom_blob.w; |
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int h = bottom_blob.h; |
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int d = bottom_blob.d; |
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int channels = bottom_blob.c; |
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int dims = bottom_blob.dims; |
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size_t elemsize = bottom_blob.elemsize; |
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int elempack = bottom_blob.elempack; |
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size_t out_elemsize = elemsize; |
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if (type_to == 1) |
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{ |
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if (type_from == 3) |
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{ |
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Cast::forward(bottom_blob, top_blob, opt); |
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} |
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// float32 |
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out_elemsize = 4 * elempack; |
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} |
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else if (type_to == 2) |
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{ |
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// float16 |
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out_elemsize = 2 * elempack; |
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} |
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else if (type_to == 3) |
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{ |
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// int8 |
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out_elemsize = elempack; |
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} |
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else if (type_to == 4) |
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{ |
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// bfloat16 |
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out_elemsize = 2 * elempack; |
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} |
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if (dims == 1) |
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{ |
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top_blob.create(w, out_elemsize, elempack, opt.blob_allocator); |
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} |
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else if (dims == 2) |
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{ |
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top_blob.create(w, h, out_elemsize, elempack, opt.blob_allocator); |
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} |
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else if (dims == 3) |
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{ |
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top_blob.create(w, h, channels, out_elemsize, elempack, opt.blob_allocator); |
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} |
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else if (dims == 4) |
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{ |
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top_blob.create(w, h, d, channels, out_elemsize, elempack, opt.blob_allocator); |
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} |
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if (top_blob.empty()) |
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return -100; |
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int size = w * h * d * elempack; |
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if (type_from == 1 && type_to == 2) |
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{ |
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#pragma omp parallel for num_threads(opt.num_threads) |
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for (int q = 0; q < channels; q++) |
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{ |
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const float* ptr = bottom_blob.channel(q); |
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unsigned short* outptr = top_blob.channel(q); |
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int i = 0; |
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#if __mips_msa |
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for (; i + 7 < size; i += 8) |
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{ |
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__builtin_prefetch(ptr + 16); |
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v4f32 _p0 = (v4f32)__msa_ld_w(ptr, 0); |
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v4f32 _p1 = (v4f32)__msa_ld_w(ptr + 4, 0); |
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v8i16 _p = __msa_fexdo_h(_p1, _p0); |
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__msa_st_h(_p, outptr, 0); |
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ptr += 8; |
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outptr += 8; |
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} |
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#endif // __mips_msa |
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for (; i < size; i++) |
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{ |
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*outptr = float32_to_float16(*ptr); |
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outptr++; |
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ptr++; |
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} |
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} |
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} |
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if (type_from == 2 && type_to == 1) |
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{ |
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#pragma omp parallel for num_threads(opt.num_threads) |
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for (int q = 0; q < channels; q++) |
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{ |
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const unsigned short* ptr = bottom_blob.channel(q); |
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float* outptr = top_blob.channel(q); |
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int i = 0; |
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#if __mips_msa |
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for (; i + 7 < size; i += 8) |
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{ |
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__builtin_prefetch(ptr + 16); |
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v8i16 _p = __msa_ld_h(ptr, 0); |
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v4f32 _p0 = __msa_fexupr_w(_p); |
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v4f32 _p1 = __msa_fexupl_w(_p); |
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__msa_st_w((v4i32)_p0, outptr, 0); |
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__msa_st_w((v4i32)_p1, outptr + 4, 0); |
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ptr += 8; |
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outptr += 8; |
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} |
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#endif // __mips_msa |
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for (; i < size; i++) |
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{ |
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*outptr = float16_to_float32(*ptr); |
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outptr++; |
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ptr++; |
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} |
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} |
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} |
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if (type_from == 3 && type_to == 1) |
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{ |
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#pragma omp parallel for num_threads(opt.num_threads) |
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for (int q = 0; q < channels; q++) |
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{ |
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const signed char* ptr = bottom_blob.channel(q); |
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float* outptr = top_blob.channel(q); |
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for (int i = 0; i < size; i++) |
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{ |
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outptr[i] = (float)ptr[i]; |
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} |
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} |
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} |
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if (type_from == 4 && type_to == 1) |
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{ |
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#pragma omp parallel for num_threads(opt.num_threads) |
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for (int q = 0; q < channels; q++) |
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{ |
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const unsigned short* ptr = bottom_blob.channel(q); |
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float* outptr = top_blob.channel(q); |
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int i = 0; |
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for (; i < size; i++) |
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{ |
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*outptr = bfloat16_to_float32(*ptr); |
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outptr++; |
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ptr++; |
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} |
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} |
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} |
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if (type_from == 1 && type_to == 4) |
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{ |
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#pragma omp parallel for num_threads(opt.num_threads) |
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for (int q = 0; q < channels; q++) |
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{ |
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const float* ptr = bottom_blob.channel(q); |
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unsigned short* outptr = top_blob.channel(q); |
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int i = 0; |
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for (; i < size; i++) |
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{ |
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*outptr = float32_to_bfloat16(*ptr); |
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outptr++; |
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ptr++; |
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} |
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} |
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} |
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return 0; |
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} |
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} // namespace ncnn |