azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
src\layer\mips\convolution_pack4.h
9 1 -
A
src\command.cpp
391 1 6
A
src\layer\mips\convolution_pack8to1_int8.h
8 1 -
A
src\layer\arm\mish_arm_asimdhp.cpp
17 2 -
A
src\layer\mips\convolution_sgemm.h
43 1 1
A
examples\squeezenet.cpp
10 1 -
A
src\layer\mips\convolution_sgemm_pack1to4_int8.h
45 1 1
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src\layer\arm\multiheadattention_arm.h
0 1 -
A
src\layer\mips\convolution_sgemm_pack4to1.h
53 1 1
A
src\cpu.cpp
337 3 3
A
src\layer\mips\convolution_winograd_transform_pack4_int8.h
7 1 -
A
src\layer\mips\convolution_winograd_transform_pack4.h
39 1 -
A
src\layer\mips\convolution_winograd_dot_pack8to4_int8.h
14 1 -
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src\layer\mips\convolution_winograd_dot_pack4.h
29 1 1
A
.github\workflows\android-armv7-gpu.yml
 3 -
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.github\workflows\codeql-analysis.yml
 2 -
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.github\workflows\windows-x64-cpu.yml
 3 -
A
python\ncnn\model_zoo\peleenetssd.py
4 1 -
A
src\layer\arm\convolutiondepthwise_3x3.h
17 1 -
A
src\layer\instancenorm.cpp
13 2 -