Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
B	src\layer\arm\convolution_packed_fp16s.h	214	1	13
C	.github\workflows\release.yml		5	13
C	src\layer\x86\convolution_im2col_gemm_int8.h	229	2	11
C	src\layer\x86\convolution_packed_int8.h	333	2	11
C	src\layer\x86\packing_x86.cpp	259	2	29
C	src\gpu.cpp	1143	6	13
C	src\layer\x86\slice_x86.cpp	316	2	17
C	src\layer\arm\packing_arm.cpp	151	1	20
C	src\mat_pixel_drawing_font.h	0	1	14
C	src\layer\riscv\gemm_riscv.cpp	423	2	19
D	tools\onnx\onnx2ncnn.cpp	1444	2	16
D	src\layer\arm\convolution_5x5_pack8_fp16s.h	15	1	19
F	src\layer\arm\gemm_arm.cpp	952	3	42
F	src\layer\arm\gemm_bf16s.h	829	3	62
F	src\layer\arm\gemm_fp16s.h	572	2	35
F	src\layer\arm\gemm_int8.h	857	1	95
F	src\layer\arm\gemm_int8_bf16s.h	659	1	62
F	src\layer\arm\gemm_int8_fp16s.h	740	1	68
F	src\layer\x86\convolution_3x3_winograd.h	714	3	59
F	src\layer\x86\convolution_3x3_winograd_bf16s.h	540	2	45