azure-pipelines
ncnn
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Complexity
Churn
Issues
A
python\ncnn\model_zoo\yolact.py
15 1 -
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src\layer\arm\crop_arm.h
0 1 -
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.github\workflows\elf-riscv32-cpu-gcc.yml
 2 -
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src\layer\arm\deconvolution_4x4.h
14 1 -
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python\ncnn\model_zoo\yolov3.py
4 1 -
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src\layer\arm\deconvolution_arm.cpp
282 2 4
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benchmark\benchncnn.cpp
29 4 3
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src\layer\arm\deconvolution_arm_asimdhp.cpp
283 1 3
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python\ncnn\model_zoo\yolov5.py
29 1 1
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src\layer\arm\deconvolutiondepthwise_arm.h
0 2 -
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.github\workflows\linux-x64-cpu-gcc-san.yml
 2 -
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src\layer\arm\eltwise_arm_asimdhp.cpp
137 1 2
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src\layer\arm\eltwise_arm.h
0 1 -
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src\layer\arm\dropout_arm.h
0 1 -
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src\layer\arm\dequantize_arm_asimdhp.cpp
254 1 2
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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 -