azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
src\layer\arm\convolution_im2col_gemm_bf16s_fp16s.h
84 1 3
A
python\ncnn\model_zoo\model_store.py
27 1 1
A
python\ncnn\model_zoo\model_zoo.py
3 1 -
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.github\workflows\linux-x64-cpu-clang-python.yml
 3 -
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src\layer\arm\convolution_packed_bf16s.h
145 1 2
A
python\ncnn\model_zoo\nanodet.py
18 1 1
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src\layer\arm\convolutiondepthwise_3x3_fp16s.h
18 1 -
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src\layer\arm\convolution_packed_int8.h
126 1 2
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python\ncnn\model_zoo\retinaface.py
21 1 -
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src\layer\arm\convolutiondepthwise_3x3_pack4.h
18 1 -
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.github\workflows\windows-x64-gpu.yml
 4 -
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src\layer\arm\convolutiondepthwise_arm.h
0 1 -
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src\layer\arm\convolutiondepthwise_arm.cpp
370 2 4
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src\layer\arm\convolutiondepthwise_5x5_pack4_bf16s.h
18 1 -
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src\layer\arm\convolutiondepthwise_5x5.h
17 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 -