DAWN_Bench
caffe3
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Grade
Name
Complexity
Churn
Issues
A
include\caffe\layers\batch_reindex_layer.hpp
5 1 -
A
examples\mnist\train_lenet_rmsprop.sh
 1 -
A
include\caffe\layers\bnll_layer.hpp
2 1 -
A
examples\faster-rcnn\lib\fast_rcnn\bbox_transform.py
4 1 -
A
include\caffe\layers\concat_layer.hpp
4 1 -
A
examples\mnist\train_mnist_autoencoder_adadelta.sh
 1 -
A
include\caffe\layers\conv_layer.hpp
3 1 -
A
.github\workflows\snorkell-auto-documentation.yml
 1 -
A
include\caffe\layers\cudnn_conv_layer.hpp
1 1 -
A
examples\mnist\train_mnist_autoencoder_nesterov.sh
 1 -
A
include\caffe\layers\cudnn_lrn_layer.hpp
1 1 -
A
examples\faster-rcnn\lib\fast_rcnn\nms_wrapper.py
4 1 -
A
include\caffe\layers\smooth_L1_loss_ohem_layer.hpp
9 1 -
A
include\caffe\layers\smooth_L1_loss_layer.hpp
6 2 -
A
include\caffe\layers\prior_box_layer.hpp
5 1 -
A
include\caffe\layers\pooling_layer.hpp
6 2 -
A
include\caffe\layers\normalize_layer.hpp
4 1 -
A
include\caffe\layers\dummy_data_layer.hpp
8 1 -
A
data\Celeb-A\crop_celebA.py
 1 -
A
examples\rfcn\lib\datasets\__init__.py
 1 -