azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
python\ncnn\model_zoo\nanodet.py
18 1 1
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tools\pnnx\src\pass_ncnn\fuse_transpose_matmul.h
0 1 -
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src\layer\vulkan\convolution_vulkan.cpp
486 2 4
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tools\pnnx\src\pass_ncnn\insert_reshape_global_pooling.h
0 1 -
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src\layer\innerproduct.h
0 1 -
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tools\pnnx\src\pass_ncnn\insert_reshape_linear.h
0 1 -
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src\layer\vulkan\convolutiondepthwise_vulkan.cpp
229 1 4
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tools\pnnx\src\pass_ncnn\insert_reshape_numpy_binaryop_broadcast.h
0 1 -
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src\layer\arm\convolution_packed_int8.h
126 1 2
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tools\pnnx\src\pass_ncnn\nn_Conv2d.cpp
41 2 -
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tools\pnnx\src\pass_ncnn\nn_Conv1d.cpp
41 2 -
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tools\pnnx\src\pass_ncnn\nn_BatchNorm3d.cpp
6 1 -
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tools\pnnx\src\pass_ncnn\nn_BatchNorm1d.cpp
6 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 -
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src\layer\vulkan\deconvolution_vulkan.h
0 1 -