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ncnn
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Grade
Name
Complexity
Churn
Issues
B
src\layer\x86\interp_bf16s.h
164 1 12
A
src\layer\x86\convolution_1x1.h
16 1 2
A
src\layer\loongarch\lasx_mathfun.h
13 1 -
A
src\layer\x86\convolution_3x3.h
14 1 1
A
src\layer\arm\hardsigmoid_arm_asimdhp.cpp
18 1 1
A
src\layer\x86\convolution_3x3_pack16to1.h
6 1 -
A
src\layer\loongarch\loongarch_usability.h
23 1 -
B
src\layer\x86\convolution_3x3_pack1to8.h
34 1 9
A
src\option.cpp
1 1 -
A
src\paramdict.h
0 1 -
A
src\paramdict.cpp
115 1 3
A
src\layer\x86\gridsample_bicubic_apply_interpolation.h
36 1 -
A
src\layer\x86\dequantize_bf16s.h
35 1 2
A
src\layer\x86\deconvolutiondepthwise_x86.cpp
119 1 6
A
src\layer\x86\convolutiondepthwise_5x5_pack4.h
12 1 1
A
examples\ppocrv5.cpp
59 1 2
A
python\ncnn\model_zoo\rfcn.py
16 1 3
A
src\layer\arm\convolution_packed_int8.h
126 1 4
A
src\layer\flip.cpp
30 1 1
A
src\layer\riscv\relu_riscv.cpp
9 1 -