2lambda123/ncnn

azure-pipelines

ncnn

Grade	Name	Complexity	Churn	Issues
F	tools\onnx\onnx2ncnn.cpp	1444	4	15
F	src\stb_image.h	1572	2	21
D	src\layer\x86\gemm_x86.cpp	860	1	11
D	src\layer\arm\gemm_arm.cpp	762	1	16
D	src\layer\x86\convolution_3x3_winograd.h	702	1	8
D	src\layer\arm\convolution_im2col_gemm_int8.h	393	2	5
D	src\layer\arm\convolution_3x3_winograd.h	472	1	8
C	src\layer\riscv\gemm_riscv.cpp	579	1	11
C	src\layer\x86\convolution_im2col_gemm_int8.h	481	3	5
C	src\layer\x86\convolution_3x3_winograd_int8.h	468	1	7
C	tools\pnnx\src\ir.cpp	766	4	10
C	src\layer\arm\convolution_3x3_winograd_fp16s.h	517	1	8
B	src\net.cpp	520	5	11
B	src\layer\x86\convolution_packed_int8.h	333	2	2
B	tools\ncnnoptimize.cpp	572	1	14
B	src\layer\riscv\deconvolution_riscv.cpp	136	2	14
B	src\layer\arm\gemm_arm_asimdhp.cpp	465	1	6
B	src\layer\arm\convolution_3x3_winograd_int8.h	320	1	6
B	src\layer\arm\convolution_3x3_winograd_bf16s.h	336	1	6
B	src\gpu.cpp	730	4	7