azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
tools\pnnx\tests\ncnn\test_mobilenet_v3_small.py
1 1 1
A
src\layer\x86\bnll_x86.cpp
9 2 -
A
tools\pnnx\tests\ncnn\test_ncnn_fuse_shufflechannel_slice.py
6 1 1
A
src\layer\arm\deconvolution_arm_asimdhp.cpp
283 1 3
A
tools\pnnx\tests\ncnn\test_ncnn_numpy_binaryop_broadcast.py
6 1 1
A
src\layer\x86\cast_bf16.h
16 1 -
A
tools\pnnx\tests\ncnn\test_nn_AdaptiveAvgPool2d.py
5 2 1
A
src\layer\loongarch\convolution_pack4.h
9 1 -
A
tools\pnnx\tests\ncnn\test_nn_Dropout.py
5 1 1
A
tools\pnnx\tests\ncnn\test_nn_ConvTranspose3d.py
3 1 1
A
tools\pnnx\tests\ncnn\test_nn_ConstantPad3d.py
3 1 1
A
tools\pnnx\tests\ncnn\test_nn_ConstantPad1d.py
3 1 1
A
.github\workflows\android-armv7-gpu.yml
 3 -
A
.github\workflows\codeql-analysis.yml
 2 -
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.github\workflows\windows-x64-cpu.yml
 3 -
A
python\ncnn\model_zoo\peleenetssd.py
4 1 -
A
src\layer\arm\convolutiondepthwise_3x3.h
17 1 -
A
src\layer\instancenorm.cpp
13 2 -
A
src\layer\vulkan\deconvolution_vulkan.h
0 1 -
A
tools\pnnx\src\pass_ncnn\nn_AdaptiveMaxPool2d.cpp
10 2 -