Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
F	src\stb_image.h	1579	1	24
D	tools\onnx\onnx2ncnn.cpp	1444	2	16
C	src\gpu.cpp	1143	6	13
F	src\layer\x86\gemm_x86.cpp	1141	5	43
F	src\layer\x86\gemm_int8.h	1091	3	57
F	src\layer\x86\gemm_bf16s.h	1007	6	51
F	src\layer\arm\gemm_arm.cpp	952	3	42
F	src\layer\arm\gemm_int8.h	857	1	95
B	tools\pnnx\src\ir.cpp	831	4	12
F	src\layer\arm\gemm_bf16s.h	829	3	62
B	src\layer\arm\convolution_arm.cpp	778	2	13
F	src\layer\arm\gemm_int8_fp16s.h	740	1	68
F	src\layer\x86\convolution_3x3_winograd.h	714	3	59
F	src\layer\arm\gemm_int8_bf16s.h	659	1	62
B	src\net.cpp	612	5	12
A	tools\mxnet\mxnet2ncnn.cpp	584	2	5
F	src\layer\arm\gemm_fp16s.h	572	2	35
B	tools\ncnnoptimize.cpp	572	1	14
B	src\layer\x86\convolution_x86.cpp	569	2	14
B	tests\testutil.cpp	563	5	12