truesoni/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
F	src\stb_image.h	1579	1	23
F	src\layer\arm\gemm_arm.cpp	778	3	17
F	tools\onnx\onnx2ncnn.cpp	1444	2	16
C	tools\ncnnoptimize.cpp	572	2	15
B	src\layer\riscv\deconvolution_riscv.cpp	136	2	15
B	tests\testutil.cpp	363	4	13
B	tools\quantize\ncnn2table.cpp	228	2	13
C	src\layer\riscv\gemm_riscv.cpp	579	2	12
F	src\layer\x86\gemm_x86.cpp	869	3	12
C	src\net.cpp	582	5	12
D	src\layer\x86\convolution_3x3_winograd_int8.h	476	3	10
A	src\mat_pixel_drawing.cpp	330	1	10
A	src\layer\arm\lstm_arm.cpp	212	3	9
F	src\layer\x86\convolution_3x3_winograd.h	714	2	9
A	src\layer\arm\gru_arm.cpp	202	3	9
D	src\layer\arm\convolution_3x3_winograd.h	484	2	9
C	tools\pnnx\src\ir.cpp	765	7	9
D	src\layer\arm\convolution_3x3_winograd_fp16s.h	529	2	9
B	.github\workflows\release-python.yml		3	9
C	src\gpu.cpp	764	3	8