azure-pipelines
ncnn
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Grade
Name
Complexity
Churn
Issues
A
examples\yolov7_pnnx.cpp
37 1 -
A
tools\pnnx\src\pass_level1\nn_PReLU.cpp
3 1 -
A
src\layer\mips\softmax_mips.h
0 1 -
D
src\layer\arm\convolution_3x3_winograd.h
472 1 8
A
src\layer\riscv\hardswish_riscv.h
0 1 -
A
src\layer\riscv\innerproduct_riscv.cpp
149 1 3
A
tools\pnnx\src\pass_level1\nn_RReLU.cpp
3 1 -
A
src\layer\mips\swish_mips.h
0 1 -
A
src\layer\arm\bias_arm.h
0 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 -