DeepMove
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Done
- modify and run codes with python 3.8 and without cuda
- delete cuda part, disable use-cuda
- c_Pickle is deprecated, use pickle instead
- replace os.mkdir with os.makedir because the dir may exist
- correct some wrong code
- implement two RnnNumpy Class, respectly RNNNumpy1 and RNNNumpy2 to replace torch Rnn and verify the correctness using
- is to instanitiate
- input: parameters for rnn
- output: a rnn isntance
- is to instanitiate
- modify and run codes with python 3.8 and without cuda
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To be done
- extend RnnNumpy to LSTMNumpy and GRUNumpy Class
- Now I just test simple mode. I should work on different model_modes.
model_modes = ['simple', 'simple_long', 'attn_avg_long_user', 'attn_local_long']
- use cupy to speed up the calculation