The distribution of size of files (measured in lines of code).
File | # lines | # units |
---|---|---|
LearningMachine.py in root |
746 | 9 |
problem.py in root |
664 | 21 |
ModelConf.py in root |
454 | 16 |
train.py in root |
287 | 13 |
corpus_utils.py in utils |
269 | 10 |
Model.py in root |
224 | 10 |
Evaluator.py in metrics |
218 | 25 |
conlleval.py in metrics |
177 | 8 |
BiQRNN.py in block_zoo |
152 | 16 |
common_utils.py in utils |
150 | 13 |
CellDict.py in core |
133 | 17 |
CRF.py in block_zoo |
132 | 11 |
BaseLayer.py in block_zoo |
128 | 15 |
get_model_graph.py in model_visualizer |
109 | 1 |
Conv.py in block_zoo |
106 | 9 |
Embedding.py in block_zoo |
105 | 9 |
Linear.py in block_zoo |
102 | 8 |
ConvPooling.py in block_zoo |
100 | 8 |
mv.py in model_visualizer/server |
98 | 1 |
tagging_schemes_converter.py in tools |
98 | 3 |
SLUDecoder.py in block_zoo/encoder_decoder |
93 | 8 |
CNNCharEmbedding.py in block_zoo/embedding |
91 | 8 |
philly_utils.py in utils |
91 | 9 |
Interaction.py in block_zoo/attentions |
87 | 7 |
Conv2D.py in block_zoo |
85 | 9 |
slot_tagging_metrics.py in metrics |
84 | 3 |
get_20_newsgroups.py in dataset |
81 | 4 |
Loss.py in losses |
77 | 2 |
predict.py in root |
77 | 1 |
Combination.py in block_zoo/op |
76 | 7 |
FullAttention.py in block_zoo/attentions |
74 | 8 |
LSTMCharEmbedding.py in block_zoo/embedding |
72 | 7 |
Transformer.py in block_zoo |
70 | 7 |
Concat3D.py in block_zoo/op |
70 | 7 |
BPEEncoder.py in utils |
69 | 4 |
Pooling2D.py in block_zoo |
68 | 8 |
MultiHeadAttention.py in block_zoo/transformer |
67 | 10 |
SLUEncoder.py in block_zoo/encoder_decoder |
66 | 8 |
EncoderDecoder.py in block_zoo |
64 | 8 |
BiLSTMAtt.py in block_zoo |
63 | 8 |
test.py in root |
59 | 1 |
LinearAttention.py in block_zoo/attentions |
57 | 8 |
BiAttFlow.py in block_zoo/attentions |
56 | 7 |
MatrixMultiply.py in block_zoo/math |
56 | 7 |
BiGRULast.py in block_zoo |
54 | 8 |
Pooling1D.py in block_zoo |
54 | 7 |
Seq2SeqAttention.py in block_zoo/attentions |
54 | 7 |
CalculateDistance.py in block_zoo/op |
52 | 7 |
StreamingRecorder.py in core |
52 | 5 |
Pooling.py in block_zoo |
50 | 7 |
File | # lines | # units |
---|---|---|
Evaluator.py in metrics |
218 | 25 |
problem.py in root |
664 | 21 |
CellDict.py in core |
133 | 17 |
ModelConf.py in root |
454 | 16 |
BiQRNN.py in block_zoo |
152 | 16 |
BaseLayer.py in block_zoo |
128 | 15 |
train.py in root |
287 | 13 |
common_utils.py in utils |
150 | 13 |
CRF.py in block_zoo |
132 | 11 |
Model.py in root |
224 | 10 |
MultiHeadAttention.py in block_zoo/transformer |
67 | 10 |
corpus_utils.py in utils |
269 | 10 |
LearningMachine.py in root |
746 | 9 |
Conv.py in block_zoo |
106 | 9 |
Conv2D.py in block_zoo |
85 | 9 |
Embedding.py in block_zoo |
105 | 9 |
philly_utils.py in utils |
91 | 9 |
BiGRULast.py in block_zoo |
54 | 8 |
BiLSTMAtt.py in block_zoo |
63 | 8 |
ConvPooling.py in block_zoo |
100 | 8 |
There are 59 files with lines longer than 120 characters. In total, there are 290 long lines.
File | # lines | # units | # long lines |
---|---|---|---|
LearningMachine.py in root |
746 | 9 | 63 |
ModelConf.py in root |
454 | 16 | 40 |
problem.py in root |
664 | 21 | 30 |
corpus_utils.py in utils |
269 | 10 | 15 |
train.py in root |
287 | 13 | 14 |
Model.py in root |
224 | 10 | 8 |
CRF.py in block_zoo |
132 | 11 | 7 |
Pooling2D.py in block_zoo |
68 | 8 | 7 |
BaseLayer.py in block_zoo |
128 | 15 | 6 |
Conv2D.py in block_zoo |
85 | 9 | 5 |
conlleval.py in metrics |
177 | 8 | 5 |
Embedding.py in block_zoo |
105 | 9 | 4 |
get_20_newsgroups.py in dataset |
81 | 4 | 4 |
Evaluator.py in metrics |
218 | 25 | 4 |
philly_utils.py in utils |
91 | 9 | 4 |
BiGRU.py in block_zoo |
49 | 7 | 3 |
Conv.py in block_zoo |
106 | 9 | 3 |
ConvPooling.py in block_zoo |
100 | 8 | 3 |
FullAttention.py in block_zoo/attentions |
74 | 8 | 3 |
CNNCharEmbedding.py in block_zoo/embedding |
91 | 8 | 3 |