Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
B	src\layer\x86\convolution_packed.h	263	2	16
B	src\layer\x86\convolution_packed_bf16s.h	265	2	15
A	src\layer\arm\innerproduct_arm.cpp	159	2	7
C	src\layer\x86\convolution_packed_int8.h	333	2	11
B	src\layer\x86\convolution_x86.cpp	569	2	14
A	src\layer\x86\convolution_x86.h	0	2	-
A	src\layer\x86\crop_x86.cpp	376	2	3
A	src\layer\x86\crop_x86.h	0	2	-
A	src\layer\x86\deconvolution_packed.h	448	2	6
A	src\layer\x86\deconvolution_packed_bf16s.h	450	2	6
A	src\layer\x86\deconvolution_x86.h	0	2	-
A	src\layer\x86\deformableconv2d_x86.cpp	90	2	4
A	src\layer\x86\dequantize_x86.cpp	34	2	2
A	src\layer\x86\dequantize_x86.h	0	2	-
A	src\layer\x86\dequantize_x86_avx512bf16.cpp	1	2	-
A	src\layer\x86\dropout_x86.cpp	26	2	1
A	src\layer\x86\dropout_x86.h	0	2	-
A	src\layer\x86\dropout_x86_avx512bf16.cpp	1	2	-
A	src\layer\x86\eltwise_x86.cpp	56	2	1
A	src\layer\x86\eltwise_x86.h	0	2	-