azure-pipelines
ncnn
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Name
Complexity
Churn
Issues
A
src\layer\arm\cast_fp16.h
14 2 -
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src\layer\riscv\clip_riscv.cpp
14 1 -
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src\layer\riscv\convolution_sgemm_pack1ton.h
14 1 -
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src\layer\riscv\convolution_sgemm_pack1ton_fp16s.h
14 1 -
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src\layer\riscv\deconvolution_fp16s.h
14 1 -
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src\layer\riscv\deconvolution_pack1ton.h
14 1 -
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src\layer\riscv\deconvolution_packnto1.h
14 1 -
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tools\pnnx\src\pass_level4\dead_code_elimination.cpp
14 1 -
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tools\pnnx\src\pass_level5\eliminate_noop_einsum.cpp
14 1 -
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src\layer\riscv\interp_bilinear.h
14 2 -
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src\layer\riscv\mish_riscv.cpp
14 2 -
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tools\pnnx\src\pass_level5\fuse_conv1d_batchnorm1d.cpp
14 1 -
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tools\pnnx\src\pass_level5\fuse_conv2d_batchnorm2d.cpp
14 1 -
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tools\pnnx\src\pass_level5\fuse_conv3d_batchnorm3d.cpp
14 1 -
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tools\pnnx\src\pass_level5\fuse_linear_batchnorm1d.cpp
14 1 -
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src\layer\riscv\sigmoid_riscv.cpp
14 2 -
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src\layer\arm\convolution_7x7.h
14 1 -
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src\layer\riscv\swish_riscv.cpp
14 2 -
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src\layer\riscv\tanh_riscv.cpp
14 2 -
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python\ncnn\model_zoo\yolact.py
15 1 -