Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
B	src\layer\arm\convolution_3x3_pack1to4_bf16s.h	62	1	14
A	src\layer\arm\convolution_3x3_pack1to4_fp16s.h	17	1	8
A	src\layer\arm\convolution_3x3_pack1to8_fp16s.h	17	1	8
A	src\layer\arm\convolution_3x3_pack4.h	8	1	1
B	src\layer\arm\convolution_3x3_pack4_bf16s.h	13	1	14
A	src\layer\arm\convolution_3x3_pack4_fp16s.h	8	1	1
A	src\layer\arm\convolution_3x3_pack4to1.h	17	1	3
A	src\layer\arm\convolution_3x3_pack8_fp16s.h	16	1	5
F	src\layer\arm\convolution_3x3_winograd.h	484	1	69
F	src\layer\arm\convolution_3x3_winograd_bf16s.h	348	1	41
F	src\layer\arm\convolution_3x3_winograd_fp16s.h	529	1	19
F	src\layer\arm\convolution_3x3_winograd_int8.h	328	1	21
A	src\layer\arm\convolution_4x4.h	7	1	-
B	src\layer\arm\convolution_5x5.h	17	1	9
F	src\layer\arm\convolution_5x5_pack4.h	16	1	32
F	src\layer\arm\convolution_5x5_pack4_bf16s.h	26	1	118
D	src\layer\arm\convolution_5x5_pack8_fp16s.h	15	1	19
A	src\layer\arm\convolution_7x7.h	14	1	3
B	src\layer\arm\convolution_7x7_pack1to4.h	9	1	14
F	src\layer\arm\convolution_7x7_pack1to4_bf16s.h	15	1	35