azure-pipelines
ncnn
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Name
Complexity
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Issues
A
tools\pnnx\src\pass_level2\torch_normal.cpp
2 1 -
A
src\layer\riscv\convolution_sgemm_packnto1_fp16s.h
61 1 1
A
tools\pnnx\src\pass_level2\torch_ones_like.cpp
2 1 -
A
tools\pnnx\src\pass_level2\torch_positive.cpp
2 1 -
A
src\layer\riscv\convolution_winograd_dot_packn.h
27 1 1
A
tools\pnnx\src\pass_level2\torch_quantize_per_tensor.cpp
2 1 -
A
src\layer\convolutiondepthwise1d.cpp
45 1 -
A
tools\pnnx\src\pass_level2\torch_randn_like.cpp
2 1 -
A
src\layer\riscv\convolution_winograd_transform.h
26 1 -
A
tools\pnnx\src\pass_level2\torch_repeat_interleave.cpp
4 1 -
A
src\layer\deepcopy.cpp
3 1 -
A
src\layer\riscv\interp_bicubic_fp16s.h
33 1 -
C
src\layer\arm\convolution_3x3_winograd_fp16s.h
517 1 8
A
src\layer\deepcopy.h
0 1 -
A
src\layer\deformableconv2d.cpp
23 1 1
A
python\examples\yolov4.py
 1 -
B
src\layer\arm\convolution_3x3_winograd_int8.h
320 1 6
A
src\layer\deformableconv2d.h
0 1 -
A
src\layer\dequantize.cpp
45 1 1
A
src\layer\riscv\interp_riscv.h
0 1 -