5d7694e293
logging to 4 decimals
2019-10-07 20:54:58 -04:00
f6e6713f74
fixed range bug
2019-10-07 20:40:54 -04:00
2560e1d954
Added per timestep loss
2019-10-07 20:03:00 -04:00
3d93008a3e
improved saving and restoring of model
2019-10-07 11:56:14 -04:00
5509e9aae5
Ensured all parameters are added to the optimizer
2019-10-07 09:47:38 -04:00
941675d6a7
Added kwargs
2019-10-06 18:57:13 -04:00
96d8dc4417
handling nans in loss tensor
2019-10-06 18:55:35 -04:00
5dd0f1dd3a
implemented masked mae loss, added tensorflow writer, changed % logic
2019-10-06 18:08:13 -04:00
d1964672c2
Added dcrnn_cell
...
Rough implementation complete - could forward pass it through the network
Ensured sparse mm for readability, logging sparsely as well
moving tensors to GPU
moving tensors to GPU [v2]
moving tensors to GPU [v3]
logging and refactor
logging and refactor
logging and refactor
logging and refactor
logging and refactor
logging and refactor
logging and refactor
ensured row major ordering
fixed log message
2019-10-06 17:00:23 -04:00
5a790d5586
cuda no grad
2019-10-04 23:30:10 -04:00
593e3db1bf
Using model.cuda() if cuda is available
2019-10-04 22:45:08 -04:00
8d3b1d0d66
Implemented lr annealing schedule
2019-10-04 21:18:05 -04:00
ba880b8230
Implementing load and save models and early stopping
2019-10-04 17:25:03 -04:00
d9f41172dc
Implemented eval and function
2019-10-04 17:07:38 -04:00
20c6aa5862
Fixed bugs with refactoring
2019-10-04 16:05:52 -04:00
2b8d5e6b31
Refactored code and moved everything into a DCRNN forward pass
2019-10-04 13:02:50 -04:00
f41dc442b0
Implemented gradient clipping and returning output from training one batch
2019-10-03 19:35:54 -04:00
9834b12d5a
Cleaned up code, fixed bugs in implementation, seems like it starts training with GRU
2019-10-02 22:20:43 -04:00
f96a8c0d59
Dirty commit - setup model but [GRUCell] not working, tried ParameterList, did not work
2019-10-02 18:09:33 -04:00
c876cbfba3
Setup training loop and logging
2019-10-02 17:34:07 -04:00
86c4c5704d
Implemented single batch forward pass
2019-10-01 22:47:59 -04:00
Chintan Shah
Chintan Shah