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2.61 kB
| // Tencent is pleased to support the open source community by making ncnn available. | |
| // | |
| // Copyright (C) 2022 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. | |
| namespace ncnn { | |
| // packed | |
| void convolution_packed_int8_xop(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_tm, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, const Option& opt) | |
| { | |
| convolution_packed_int8(bottom_blob, top_blob, weight_data_tm, kernel_w, kernel_h, dilation_w, dilation_h, stride_w, stride_h, opt); | |
| } | |
| // gemm | |
| void convolution_im2col_gemm_int8_xop(const Mat& bottom_blob, Mat& top_blob, const Mat& AT, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int nT, const Option& opt) | |
| { | |
| convolution_im2col_gemm_int8(bottom_blob, top_blob, AT, kernel_w, kernel_h, dilation_w, dilation_h, stride_w, stride_h, nT, opt); | |
| } | |
| // winograd | |
| void conv3x3s1_winograd43_transform_kernel_pack8to1_int8_sse_xop(const Mat& kernel, Mat& kernel_tm, int inch, int outch, const Option& opt) | |
| { | |
| conv3x3s1_winograd43_transform_kernel_pack8to1_int8_sse(kernel, kernel_tm, inch, outch, opt); | |
| } | |
| void conv3x3s1_winograd43_pack8to1_int8_sse_xop(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Option& opt) | |
| { | |
| conv3x3s1_winograd43_pack8to1_int8_sse(bottom_blob, top_blob, kernel, opt); | |
| } | |
| void conv3x3s1_winograd43_transform_kernel_pack8to4_int8_sse_xop(const Mat& kernel, Mat& kernel_tm, int inch, int outch, const Option& opt) | |
| { | |
| conv3x3s1_winograd43_transform_kernel_pack8to4_int8_sse(kernel, kernel_tm, inch, outch, opt); | |
| } | |
| void conv3x3s1_winograd43_pack8to4_int8_sse_xop(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Option& opt) | |
| { | |
| conv3x3s1_winograd43_pack8to4_int8_sse(bottom_blob, top_blob, kernel, opt); | |
| } | |
| } // namespace ncnn | |