azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
src\layer\x86\gelu_x86.cpp
10 1 -
A
src\layer\x86\hardsigmoid_x86.cpp
10 1 -
A
src\layer\x86\hardswish_x86.cpp
10 1 -
A
python\tests\test_net.py
10 1 -
A
tools\pnnx\src\pass_ncnn\nn_AdaptiveMaxPool2d.cpp
10 2 -
A
examples\shufflenetv2.cpp
10 1 -
A
tests\test_deconvolutiondepthwise.cpp
10 1 -
A
examples\squeezenet.cpp
10 1 -
A
tools\pnnx\src\pass_ncnn\eliminate_tail_reshape_permute.cpp
10 1 -
A
examples\squeezenet_c_api.cpp
10 1 -
A
tools\pnnx\src\pass_ncnn\convert_torch_split.cpp
10 1 -
A
tools\pnnx\src\pass_level0\flatten_input.cpp
10 1 -
A
tools\pnnx\src\pass_ncnn\F_adaptive_max_pool2d.cpp
10 2 -
A
tools\pnnx\src\pass_level2\F_hardsigmoid.cpp
10 1 -
A
tools\pnnx\src\pass_ncnn\F_adaptive_avg_pool2d.cpp
10 2 -
A
python\examples\peleenetssd.py
10 1 -
A
src\layer\riscv\convolution_packn.h
10 1 -
A
tools\pnnx\src\pass_ncnn\nn_AdaptiveAvgPool2d.cpp
10 2 -
A
tools\pnnx\src\pass_ncnn\fuse_convert_shufflechannel_slice.cpp
10 1 -
A
tools\pnnx\src\pass_level3\fuse_einsum_operands.cpp
10 1 -