Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
C	src\layer\x86\packing_x86.cpp	259	2	29
F	src\layer\x86\convolution_im2col_gemm.h	450	3	26
F	src\layer\x86\convolution_3x3_winograd_int8.h	476	2	25
F	src\mat_pixel_rotate.cpp	229	1	24
F	src\stb_image.h	1579	1	24
F	src\layer\arm\convolution_im2col_gemm_fp16s.h	269	2	23
F	src\layer\arm\convolution_3x3_winograd_int8.h	328	1	21
C	src\layer\arm\packing_arm.cpp	151	1	20
C	src\layer\riscv\gemm_riscv.cpp	423	2	19
D	src\layer\arm\convolution_5x5_pack8_fp16s.h	15	1	19
F	src\layer\arm\convolution_3x3_winograd_fp16s.h	529	1	19
C	src\layer\x86\slice_x86.cpp	316	2	17
B	src\layer\x86\convolution_packed.h	263	2	16
D	tools\onnx\onnx2ncnn.cpp	1444	2	16
B	tools\quantize\ncnn2table.cpp	252	1	15
B	src\layer\x86\convolution_packed_bf16s.h	265	2	15
B	src\layer\arm\convolution_3x3.h	61	1	14
B	src\layer\arm\convolution_3x3_pack4_bf16s.h	13	1	14
B	src\layer\arm\gru_arm.cpp	202	1	14
C	src\mat_pixel_drawing_font.h	0	1	14