ncnn

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convolution_mips_mmi.cpp 
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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 "cpu.h"
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#include "mat.h"
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#if __mips_loongson_mmi
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#include "loongson_mmi.h"
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#endif // __mips_loongson_mmi
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namespace ncnn {
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#include "convolution_sgemm_int8.h"
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#include "convolution_winograd_transform_int8.h"
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#include "convolution_winograd_dot_int8.h"
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#include "convolution_3x3_int8.h"
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// pack1
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void im2col_sgemm_int8_loongson_mmi(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Option& opt)
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{
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    im2col_sgemm_int8_msa(bottom_im2col, top_blob, kernel, opt);
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}
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void convolution_im2col_sgemm_transform_kernel_int8_loongson_mmi(const Mat& kernel, Mat& kernel_tm, int inch, int outch, int kernel_w, int kernel_h)
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{
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    convolution_im2col_sgemm_transform_kernel_int8_msa(kernel, kernel_tm, inch, outch, kernel_w, kernel_h);
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}
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void conv3x3s1_winograd43_transform_kernel_int8_loongson_mmi(const Mat& kernel, Mat& kernel_tm_packed, int inch, int outch, const Option& opt)
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{
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    conv3x3s1_winograd43_transform_kernel_int8_msa(kernel, kernel_tm_packed, inch, outch, opt);
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}
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void convolution_winograd_dot_int8_loongson_mmi(Mat& bottom_blob_tm, int outch, const Mat& kernel_tm, Mat& top_blob_tm, const Option& opt)
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{
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    convolution_winograd_dot_int8_msa(bottom_blob_tm, outch, kernel_tm, top_blob_tm, opt);
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}
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} // namespace ncnn
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