DAWN_Bench
caffe3
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Complexity
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Issues
A
examples\rfcn\experiments\scripts\rfcn_end2end.sh
 1 3
A
scripts\gather_examples.sh
 1 3
A
examples\rfcn\experiments\scripts\rfcn_end2end_ohem.sh
 1 3
A
docker\standalone\cpu-ubuntu\Dockerfile
 7 3
A
examples\rfcn\data\scripts\fetch_faster_rcnn_models.sh
 1 3
A
src\caffe\layers\mkl_convolution_layer.cpp
62 14 3
A
examples\rfcn\data\scripts\fetch_selective_search_data.sh
 1 3
A
examples\rfcn\data\scripts\fetch_imagenet_models.sh
 1 3
A
examples\pycaffe\tune_model.py
 4 3
A
examples\faster-rcnn\data\scripts\fetch_selective_search_data.sh
 1 3
A
examples\rfcn\lib\pycocotools\maskApi.c
119 1 3
A
examples\faster-rcnn\experiments\scripts\fast_rcnn.sh
 1 3
A
examples\finetune_flickr_style\assemble_data.py
5 1 3
A
src\caffe\layers\window_data_layer.cpp
51 1 2
A
src\caffe\layers\prior_box_layer.cpp
43 1 2
A
src\caffe\layers\mkldnn_batch_norm_layer.cpp
93 14 2
A
include\caffe\multinode\multi_sync.hpp
108 8 2
A
src\caffe\layers\mkl_batch_norm_layer.cpp
69 17 2
A
include\caffe\mkldnn_base.hpp
29 9 2
A
src\caffe\layers\detection_output_layer.cpp
76 3 2