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Training RNNs as Fast as CNNs (Simple Recurrent Unit)

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CUDA Optimized Simple Recurrent Unit (SRU)

Todo

  • CUDA optimized forward computation
  • CUDA optimized backward computation
  • Testing
  • Training language models
  • Benchmark
  • Multi-GPU

Requirements

  • Chainer 2+
  • CuPy
  • Python 2 or 3

Language Modeling

Penn Treebank

cd examples/ptb
python3 train.py -b 32 -nf 128 -l 35 -opt msgd -lr 1 -g 0 -e 300 -lrd 30 -nl 2 -m 128x2.hdf5 -dos 0.5 -dor 0.2 -tanh
python3 train.py -b 32 -nf 320 -l 35 -opt msgd -lr 1 -g 0 -e 300 -lrd 30 -nl 2 -m 320x2.hdf5 -dos 0.5 -dor 0.2 -tanh
Model #layers d Perplexity
LSTM 2 640 89
SRU 2 640 92
SRU 2 320 92
LSTM 2 320 93
SRU 2 128 110
LSTM 2 128 117

Benchmark

result

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Training RNNs as Fast as CNNs (Simple Recurrent Unit)

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