Chintan Shah
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ec5d9555a5
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logging and refactor
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2019-10-06 15:15:11 -04:00 |
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Chintan Shah
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55a087ac9f
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logging and refactor
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2019-10-06 14:40:53 -04:00 |
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Chintan Shah
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02c4681ad9
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logging and refactor
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2019-10-06 14:38:44 -04:00 |
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Chintan Shah
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b6a2b3fe8e
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logging and refactor
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2019-10-06 14:34:58 -04:00 |
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Chintan Shah
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036e552bf6
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logging and refactor
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2019-10-06 14:31:46 -04:00 |
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Chintan Shah
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31acadedce
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logging and refactor
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2019-10-06 14:29:28 -04:00 |
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Chintan Shah
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ba304e9f04
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moving tensors to GPU
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2019-10-06 14:00:54 -04:00 |
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Chintan Shah
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9454fd91a2
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Ensured sparse mm for readability, logging sparsely as well
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2019-10-06 13:44:55 -04:00 |
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Chintan Shah
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2e1836df40
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Rough implementation complete - could forward pass it through the network
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2019-10-06 13:24:37 -04:00 |
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Chintan Shah
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5a790d5586
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cuda no grad
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2019-10-04 23:30:10 -04:00 |
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Chintan Shah
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593e3db1bf
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Using model.cuda() if cuda is available
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2019-10-04 22:45:08 -04:00 |
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Chintan Shah
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8d3b1d0d66
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Implemented lr annealing schedule
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2019-10-04 21:18:05 -04:00 |
Chintan Shah
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ba880b8230
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Implementing load and save models and early stopping
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2019-10-04 17:25:03 -04:00 |
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Chintan Shah
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d9f41172dc
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Implemented eval and function
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2019-10-04 17:07:38 -04:00 |
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Chintan Shah
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20c6aa5862
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Fixed bugs with refactoring
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2019-10-04 16:05:52 -04:00 |
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Chintan Shah
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2b8d5e6b31
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Refactored code and moved everything into a DCRNN forward pass
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2019-10-04 13:02:50 -04:00 |
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Chintan Shah
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f41dc442b0
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Implemented gradient clipping and returning output from training one batch
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2019-10-03 19:35:54 -04:00 |
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Chintan Shah
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9834b12d5a
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Cleaned up code, fixed bugs in implementation, seems like it starts training with GRU
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2019-10-02 22:20:43 -04:00 |
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Chintan Shah
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f96a8c0d59
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Dirty commit - setup model but [GRUCell] not working, tried ParameterList, did not work
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2019-10-02 18:09:33 -04:00 |
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Chintan Shah
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c876cbfba3
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Setup training loop and logging
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2019-10-02 17:34:07 -04:00 |
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Chintan Shah
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86c4c5704d
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Implemented single batch forward pass
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2019-10-01 22:47:59 -04:00 |