azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
examples\squeezenet.cpp
10 1 -
A
tests\test_flatten.cpp
7 1 -
A
src\layer\mips\convolution_sgemm_pack1to4_int8.h
45 1 1
A
tests\test_gelu.cpp
9 1 -
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src\layer\arm\multiheadattention_arm.h
0 1 -
A
tests\test_gemm_1.cpp
13 1 -
A
src\layer\mips\convolution_sgemm_pack4to1.h
53 1 1
A
tests\test_gridsample.cpp
7 2 -
A
src\cpu.cpp
337 3 3
A
tests\test_noop.cpp
6 1 -
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tests\test_multiheadattention.cpp
11 1 -
A
tests\test_mat_pixel_resize.cpp
37 2 -
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tests\test_mat_pixel_affine.cpp
66 2 -
A
.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 -
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 -