Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
A	src\layer\arm\convolution_7x7_pack1to8_fp16s.h	8	1	-
B	src\layer\arm\convolution_arm.cpp	778	2	13
A	src\layer\arm\convolution_arm.h	0	1	-
A	src\layer\arm\convolution_arm_asimddp.cpp	4	1	-
A	src\layer\arm\convolution_arm_asimdhp.cpp	426	2	4
A	src\layer\arm\convolution_arm_bf16.cpp	2	1	-
A	src\layer\arm\convolution_arm_i8mm.cpp	4	1	-
F	src\layer\arm\convolution_im2col_gemm.h	201	1	57
F	src\layer\arm\convolution_im2col_gemm_bf16s.h	249	2	75
F	src\layer\arm\convolution_im2col_gemm_fp16s.h	269	2	23
F	src\layer\arm\convolution_im2col_gemm_int8.h	323	1	69
A	src\layer\arm\convolution_packed.h	145	1	8
B	src\layer\arm\convolution_packed_bf16s.h	145	1	10
B	src\layer\arm\convolution_packed_fp16s.h	214	1	13
A	src\layer\arm\convolution_packed_int8.h	126	1	4
A	src\layer\arm\convolutiondepthwise_3x3.h	17	1	4
A	src\layer\arm\convolutiondepthwise_3x3_fp16s.h	18	1	-
B	src\layer\arm\convolutiondepthwise_3x3_int8.h	28	1	10
A	src\layer\arm\convolutiondepthwise_3x3_pack4.h	18	1	7
A	src\layer\arm\convolutiondepthwise_3x3_pack4_bf16s.h	18	1	6