azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
python\ncnn\model_zoo\yolov5.py
29 1 1
A
src\layer\x86\cast_x86_avx2.cpp
2 1 -
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src\layer\loongarch\convolution_pack8to1_int8.h
8 1 -
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src\layer\x86\cast_x86_f16c.cpp
2 1 -
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src\layer\arm\deconvolutiondepthwise_arm.h
0 2 -
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src\layer\x86\clip_x86.h
0 1 -
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src\layer\loongarch\convolution_sgemm.h
43 1 1
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src\layer\x86\concat_x86.h
0 1 -
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.github\workflows\linux-x64-cpu-gcc-san.yml
 2 -
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src\layer\x86\convolution_5x5.h
8 1 -
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src\layer\x86\convolution_3x3_pack8to1.h
6 1 -
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src\layer\x86\convolution_3x3_pack1to4.h
33 1 2
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src\layer\x86\convolution_3x3_int8.h
10 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 -
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src\layer\instancenorm.cpp
13 2 -
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src\layer\vulkan\deconvolution_vulkan.h
0 1 -