azure-pipelines
ncnn
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Grade
Name
Complexity
Churn
Issues
A
src\layer\mips\padding_mips.h
0 1 -
A
src\layer\arm\arm_activation.h
34 1 -
A
tools\pnnx\src\pass_level1\nn_ConstantPad1d.cpp
4 1 -
A
src\layer\mips\padding_pack8_int8.h
35 1 -
A
tools\pnnx\src\pass_level1\nn_ConstantPad3d.cpp
4 1 -
A
src\layer\arm\relu_arm.h
0 1 -
A
tools\pnnx\src\pass_level1\nn_Conv2d.cpp
30 1 1
A
src\layer\mips\pooling_mips.h
0 1 -
A
examples\yolov5_pnnx.cpp
39 1 -
A
src\layer\deconvolutiondepthwise3d.cpp
66 1 2
A
src\layer\riscv\innerproduct_riscv.h
0 1 -
A
src\layer\riscv\instancenorm_riscv.h
0 1 -
A
python\examples\yolov3.py
 1 -
B
src\layer\arm\convolution_3x3_winograd_bf16s.h
336 1 6
A
src\layer\deconvolutiondepthwise3d.h
0 1 -
A
src\layer\riscv\interp_bicubic.h
21 1 -
A
src\layer\deepcopy.cpp
3 1 -
A
src\layer\riscv\interp_bicubic_fp16s.h
33 1 -
C
src\layer\arm\convolution_3x3_winograd_fp16s.h
517 1 8
A
src\layer\deepcopy.h
0 1 -