azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
tools\pnnx\src\pass_level1\nn_AdaptiveMaxPool3d.cpp
4 1 -
A
src\layer\x86\cast_x86_avx2.cpp
2 1 -
A
src\layer\loongarch\convolution_pack8to1_int8.h
8 1 -
A
src\layer\x86\cast_x86_f16c.cpp
2 1 -
A
src\layer\arm\deconvolutiondepthwise_arm.h
0 2 -
A
src\layer\x86\clip_x86.h
0 1 -
A
tools\pnnx\src\pass_level1\nn_AdaptiveAvgPool2d.cpp
3 1 -
A
src\layer\x86\concat_x86.h
0 1 -
A
tools\pnnx\src\pass_level1\nn_BatchNorm2d.cpp
5 1 -
A
tools\pnnx\src\pass_level1\nn_LeakyReLU.cpp
4 1 -
A
tools\pnnx\src\pass_level1\nn_LayerNorm.cpp
5 1 -
A
tests\test_lrn.cpp
6 1 -
A
tests\test_convolution1d.cpp
16 2 -
A
src\simplevk.cpp
2 2 -
A
src\option.cpp
1 1 -
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src\layer\yolov3detectionoutput.cpp
37 2 -
A
src\layer\x86\hardsigmoid_x86.h
0 1 -
A
src\layer\x86\deconvolution_pack8to1.h
14 1 -
A
python\ncnn\model_zoo\peleenetssd.py
4 1 -
A
src\layer\vulkan\deconvolution_vulkan.h
0 1 -