azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
src\layer\loongarch\convolution_1x1_int8.h
7 1 -
A
src\layer\loongarch\convolution_1x1_pack1to4_int8.h
7 1 -
A
src\layer\arm\deconvolution_4x4_fp16s.h
7 1 -
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src\layer\loongarch\convolution_7x7_pack1to4.h
7 1 -
A
python\ncnn\model_zoo\yolov4.py
7 1 -
A
tools\pnnx\src\pass_ncnn\nn_LayerNorm.cpp
7 1 -
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src\layer\x86\convolution_2x2_pack8.h
7 1 -
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src\layer\x86\convolution_3x3_pack8.h
7 1 -
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src\layer\loongarch\convolution_winograd_transform_pack4_int8.h
7 1 -
A
tools\pnnx\tests\test_F_gelu.py
7 2 1
A
python\ncnn\utils\objects.py
7 1 -
A
tools\pnnx\src\pass_ncnn\torch_unsqueeze.cpp
7 1 -
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src\layer\loongarch\loongarch_activation.h
7 1 -
A
tools\pnnx\src\pass_ncnn\nn_AvgPool3d.cpp
7 1 -
A
tools\pnnx\src\pass_ncnn\nn_AvgPool2d.cpp
7 1 -
A
tools\pnnx\src\pass_ncnn\F_max_pool1d.cpp
7 1 -
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tools\pnnx\src\pass_ncnn\nn_Softmax.cpp
7 1 -
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src\layer\x86\sigmoid_x86.cpp
7 2 -
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src\layer\x86\swish_x86.cpp
7 2 -
A
src\layer\x86\tanh_x86.cpp
7 2 -