Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
F	src\layer\arm\convolution_3x3_winograd_bf16s.h	348	1	41
A	src\allocator.cpp	343	4	4
C	src\layer\x86\convolution_packed_int8.h	333	2	11
A	src\mat_pixel_drawing.cpp	330	1	11
A	src\c_api.cpp	328	2	-
F	src\layer\arm\convolution_3x3_winograd_int8.h	328	1	21
F	src\layer\arm\convolution_im2col_gemm_int8.h	323	1	69
A	tools\pnnx\src\pass_level3\fuse_expression.cpp	318	2	4
C	src\layer\x86\slice_x86.cpp	316	2	17
A	src\command.cpp	314	2	9
A	src\layer\x86\padding_x86.cpp	313	2	3
A	tools\pnnx\src\pass_onnx.cpp	307	1	1
B	src\layer\x86\convolutiondepthwise_x86.cpp	297	1	9
A	tools\mlir\mlir2ncnn.cpp	296	2	3
B	src\layer\arm\binaryop_arm.cpp	287	2	12
B	src\layer\arm\deconvolution_arm_asimdhp.cpp	284	1	9
B	src\layer\arm\deconvolution_arm.cpp	283	1	11
A	tools\pnnx\src\pass_level2.cpp	277	1	5
A	src\layer\reduction.cpp	274	2	2
B	src\mat_pixel_affine.cpp	270	1	9