Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
A	src\layer\arm\convolutiondepthwise_3x3_pack8_fp16s.h	18	1	3
A	src\layer\arm\convolutiondepthwise_3x3_pack8_int8.h	13	1	2
A	src\layer\arm\convolutiondepthwise_5x5.h	17	1	8
A	src\layer\arm\convolutiondepthwise_5x5_pack4.h	18	1	1
A	src\layer\arm\convolutiondepthwise_5x5_pack4_bf16s.h	18	1	7
A	src\layer\arm\convolutiondepthwise_5x5_pack8_fp16s.h	18	1	-
B	src\layer\arm\convolutiondepthwise_arm.cpp	380	1	12
A	src\layer\arm\convolutiondepthwise_arm.h	0	1	-
A	src\layer\arm\convolutiondepthwise_arm_asimdhp.cpp	135	1	6
A	src\layer\arm\crop_arm.cpp	248	1	4
A	src\layer\arm\crop_arm.h	0	1	-
A	src\layer\arm\deconvolution_3x3.h	14	1	1
A	src\layer\arm\deconvolution_4x4.h	14	1	2
A	src\layer\arm\deconvolution_4x4_fp16s.h	7	1	1
B	src\layer\arm\deconvolution_arm.cpp	283	1	11
A	src\layer\arm\deconvolution_arm.h	0	1	-
B	src\layer\arm\deconvolution_arm_asimdhp.cpp	284	1	9
B	src\layer\arm\deconvolutiondepthwise_arm.cpp	164	1	11
A	src\layer\arm\deconvolutiondepthwise_arm.h	0	1	-
A	src\layer\arm\deconvolutiondepthwise_arm_asimdhp.cpp	141	1	8