Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
B	src\layer\arm\gemm_arm_vfpv4.cpp	188	2	10
B	src\layer\x86\convolutiondepthwise_x86.cpp	297	1	9
B	src\layer\arm\deconvolution_arm.cpp	283	1	11
B	src\layer\arm\deconvolution_arm_asimdhp.cpp	284	1	9
B	src\layer\arm\convolutiondepthwise_arm.cpp	380	1	12
B	src\layer\x86\convolution1d_packed.h	256	2	12
B	src\layer\arm\convolution_packed_fp16s.h	214	1	13
B	src\layer\vulkan\convolution_vulkan.cpp	363	5	6
B	src\layer\x86\convolution1d_packed_bf16s.h	258	2	11
B	src\layer\mips\deconvolution_mips.cpp	65	1	10
B	src\layer\arm\deconvolutiondepthwise_arm.cpp	164	1	11
B	src\layer\arm\convolutiondepthwise_3x3_int8.h	28	1	10
B	src\layer\arm\convolution_packed_bf16s.h	145	1	10
B	src\layer\mips\convolution_sgemm.h	43	1	7
B	src\layer\arm\convolution_arm.cpp	778	2	13
B	src\layer\arm\convolution_7x7_pack1to4.h	9	1	14
B	src\layer\arm\convolution_5x5.h	17	1	9
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