azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
src\layer\loongarch\convolution_sgemm.h
43 1 1
A
src\layer\x86\concat_x86.cpp
117 1 1
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src\layer\loongarch\convolution_sgemm_pack1to4_int8.h
45 1 1
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src\layer\loongarch\convolution_sgemm_pack4.h
43 1 1
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src\layer\loongarch\convolution_sgemm_pack4to1.h
53 1 1
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python\ncnn\model_zoo\yolov8.py
21 1 1
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src\layer\loongarch\convolution_sgemm_pack8to1_int8.h
37 1 1
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tools\pnnx\src\pass_ncnn\F_grid_sample.cpp
39 2 1
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src\layer\loongarch\convolution_winograd_dot.h
26 1 1
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src\layer\loongarch\convolution_winograd_dot_int8.h
34 1 1
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src\layer\loongarch\convolution_winograd_dot_pack4.h
29 1 1
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codeformat.sh
 2 1
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src\layer\loongarch\convolution_winograd_dot_pack8to1_int8.h
20 1 1
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src\layer\x86\deconvolutiondepthwise_x86.cpp
115 2 1
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src\layer\x86\deformableconv2d_pack16.h
25 1 1
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python\src\main.cpp
153 4 1
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src\layer\loongarch\deconvolutiondepthwise_loongarch.cpp
79 2 1
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src\layer\x86\deformableconv2d_pack16to1.h
25 1 1
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src\layer\x86\deformableconv2d_pack16to4.h
25 1 1
A
src\layer\x86\deformableconv2d_pack16to8.h
25 1 1