Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
B	tools\pnnx\src\ir.cpp	831	4	12
B	src\layer\x86\interp_bf16s.h	164	1	12
A	src\mat_pixel_drawing.cpp	330	1	11
C	src\layer\x86\convolution_packed_int8.h	333	2	11
C	src\layer\x86\convolution_im2col_gemm_int8.h	229	2	11
B	src\layer\x86\concat_x86.cpp	234	2	11
B	src\layer\x86\convolution1d_packed_bf16s.h	258	2	11
B	src\layer\x86\binaryop_x86.cpp	257	3	11
B	src\layer\riscv\packing_riscv.cpp	162	1	11
B	src\layer\arm\deconvolutiondepthwise_arm.cpp	164	1	11
B	src\layer\arm\deconvolution_arm.cpp	283	1	11
A	src\layer\riscv\deconvolution_riscv.cpp	77	1	10
B	tools\pnnx\src\pass_ncnn\convert_slice_expression.cpp	198	1	10
A	src\layer\mips\innerproduct_mips.cpp	179	1	10
B	src\layer\mips\deconvolution_mips.cpp	65	1	10
B	src\layer\riscv\gemm_riscv_zfh.cpp	179	1	10
A	src\layer\loongarch\innerproduct_loongarch.cpp	179	1	10
B	src\layer\arm\convolutiondepthwise_3x3_int8.h	28	1	10
B	src\layer\loongarch\deconvolution_loongarch.cpp	65	1	10
B	src\layer\arm\convolution_packed_bf16s.h	145	1	10