azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
src\layer\mips\convolution_winograd_transform_pack8_int8.h
6 1 -
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examples\squeezenetssd.cpp
11 1 -
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src\layer\mips\convolutiondepthwise_3x3_pack4.h
15 1 -
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src\layer\arm\padding_pack4.h
27 2 -
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src\layer\mips\convolutiondepthwise_mips.cpp
168 1 2
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examples\yolact.cpp
54 1 1
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src\layer\mips\crop_mips.cpp
101 1 2
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src\layer\arm\padding_pack8_fp16s.h
27 2 -
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src\layer\mips\deconvolution_mips.cpp
65 2 6
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.github\workflows\labeler.yml
 1 -
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src\layer\mips\eltwise_mips.cpp
36 1 1
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src\layer\mips\dropout_mips.h
0 1 -
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src\layer\mips\dequantize_mips.cpp
134 1 1
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src\layer\mips\deconvolutiondepthwise_mips.cpp
79 2 1
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.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 -
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python\ncnn\model_zoo\peleenetssd.py
4 1 -
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src\layer\arm\convolutiondepthwise_3x3.h
17 1 -
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src\layer\instancenorm.cpp
13 2 -