truesoni/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
F	tools\onnx\onnx2ncnn.cpp	1444	2	16
F	src\stb_image.h	1579	1	23
F	src\layer\arm\gemm_arm.cpp	778	3	17
F	src\layer\x86\gemm_x86.cpp	869	3	12
F	src\layer\x86\convolution_3x3_winograd.h	714	2	9
D	src\layer\arm\convolution_3x3_winograd_fp16s.h	529	2	9
D	src\layer\arm\convolution_im2col_gemm_int8.h	323	3	6
D	src\layer\x86\convolution_3x3_winograd_int8.h	476	3	10
D	src\layer\arm\convolution_3x3_winograd.h	484	2	9
C	tools\pnnx\src\ir.cpp	765	7	9
C	src\layer\riscv\gemm_riscv.cpp	579	2	12
C	tools\ncnnoptimize.cpp	572	2	15
C	src\net.cpp	582	5	12
C	src\layer\x86\convolution_im2col_gemm_int8.h	419	4	6
C	src\layer\arm\convolution_3x3_winograd_int8.h	328	2	7
C	src\gpu.cpp	764	3	8
B	src\layer\riscv\deconvolution_riscv.cpp	136	2	15
B	src\layer\arm\gemm_fp16s.h	385	1	5
B	src\layer\x86\convolution1d_packed.h	256	1	3
B	src\layer\arm\gemm_bf16s.h	385	1	5