Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
A	src\layer\x86\innerproduct_gemm_fp.h	2	1	1
A	src\layer\x86\innerproduct_x86.cpp	116	2	6
A	src\layer\x86\innerproduct_x86.h	0	2	-
A	src\layer\x86\innerproduct_x86_avx512bf16.cpp	3	1	-
A	src\layer\x86\innerproduct_x86_f16c.cpp	3	1	-
A	src\layer\x86\instancenorm_bf16s.h	16	1	-
A	src\layer\x86\instancenorm_x86.cpp	23	2	1
A	src\layer\x86\instancenorm_x86.h	0	2	-
A	src\layer\x86\instancenorm_x86_avx512bf16.cpp	2	1	-
B	src\layer\x86\interp_bf16s.h	164	1	12
A	src\layer\x86\interp_bicubic.h	46	2	3
A	src\layer\x86\interp_bicubic_pack16.h	11	2	1
A	src\layer\x86\interp_bicubic_pack4.h	19	2	3
A	src\layer\x86\interp_bicubic_pack8.h	15	2	2
A	src\layer\x86\interp_bilinear.h	25	2	-
A	src\layer\x86\interp_bilinear_pack16.h	7	2	-
A	src\layer\x86\interp_bilinear_pack4.h	11	2	-
A	src\layer\x86\interp_bilinear_pack8.h	9	2	-
A	src\layer\x86\interp_x86.cpp	73	3	2
A	src\layer\x86\interp_x86.h	0	2	-