azure-pipelines
ncnn
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Grade
Name
Complexity
Churn
Issues
A
tests\test_squeeze.cpp
16 1 -
A
tests\test_swish.cpp
7 1 -
A
src\layer\arm\pooling_2x2.h
5 1 -
A
tests\test_tile.cpp
15 1 -
A
src\layer\mips\dequantize_mips.h
0 1 -
A
examples\yolov2.cpp
11 1 -
A
src\layer\mips\dropout_mips.h
0 1 -
A
tools\darknet\darknet2ncnn.cpp
170 1 2
A
src\layer\arm\pooling_2x2_pack4_bf16s.h
5 1 -
A
src\layer\riscv\hardsigmoid_riscv.h
0 1 -
A
src\layer\riscv\hardswish_riscv.cpp
9 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
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 -