Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
B	src\layer\x86\binaryop_x86.cpp	257	3	11
B	src\layer\arm\convolution_arm.cpp	778	2	13
B	src\layer\arm\convolution_7x7_pack1to4.h	9	1	14
B	src\layer\mips\convolution_mips.cpp	437	1	9
B	src\layer\mips\convolution_sgemm.h	43	1	7
B	src\layer\loongarch\convolution_sgemm_int8.h	64	1	12
B	src\layer\mips\convolution_sgemm_int8.h	66	1	13
B	src\layer\arm\convolution_5x5.h	17	1	9
B	src\layer\arm\gemm_arm_asimdhp.cpp	479	2	14
B	src\layer\arm\convolution_3x3.h	61	1	14
B	src\layer\arm\convolution_3x3_pack1to4_bf16s.h	62	1	14
B	src\layer\arm\convolution1d_packed_fp16s.h	202	1	12
B	src\layer\arm\convolution_3x3_pack4_bf16s.h	13	1	14
B	src\layer\arm\concat_arm.cpp	162	1	5
B	src\layer\arm\binaryop_arm.cpp	287	2	12
A	examples\ppocrv5_dict.h	0	1	-
A	.github\workflows\macos.yml		1	-
A	examples\retinaface.cpp	35	1	-
A	examples\rfcn.cpp	39	1	-
A	.github\workflows\linux-arm.yml		1	-