azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
src\layer\x86\bnll_x86.cpp
9 2 -
A
src\layer\loongarch\convolution_pack4.h
9 1 -
A
tools\pnnx\src\pass_level3\fuse_multiheadattention_unpack.cpp
9 1 -
A
src\layer\loongarch\convolution_pack4to1.h
9 1 -
A
src\layer\x86\clip_x86.cpp
9 1 -
A
tools\pnnx\src\pass_level5\fuse_pixel_unshuffle.cpp
9 1 -
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python\tests\benchmark.py
9 1 -
A
tools\pnnx\src\pass_ncnn\F_avg_pool2d.cpp
9 1 -
A
src\layer\x86\selu_x86.cpp
9 1 -
A
src\layer\arm\interp_bilinear_bf16s.h
9 2 -
A
tools\pnnx\src\pass_ncnn\F_avg_pool3d.cpp
9 1 -
A
src\layer\mips\convolution_pack1to4.h
9 1 -
A
src\layer\mips\convolution_pack4.h
9 1 -
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src\layer\mips\convolution_pack4to1.h
9 1 -
A
tests\test_gelu.cpp
9 1 -
A
tests\test_groupnorm.cpp
9 1 -
A
tests\test_yolov3detectionoutput.cpp
9 1 -
A
tools\mlir\tf_side_effects.h
9 1 -
A
tools\pnnx\src\pass_level0\reset_device.cpp
9 2 -
A
tools\pnnx\src\pass_level2\F_grid_sample.cpp
9 1 -