Comments (1)
Yes, TPU would probably be much faster. If you really know what you're doing, you could try replacing my beam search implementation with one that happens entirely on the GPU, which could make it run much faster with no degradation in quality -- but that's beyond my knowhow. Otherwise I'd just recommend playing around with the inference options I've included -- for example, beam width of 1 and topn of 5 might be worth trying. That will degrade quality somewhat, but probably any deviation from the default options will degrade quality, because I picked the default options to maximize quality :)
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Related Issues (20)
- reddit_parse error HOT 1
- Using this bot on discord HOT 2
- Training on GPU? HOT 4
- Unable to run chatbot.py. Throwing error on tensorflow HOT 13
- Link to your pre trained not reachable HOT 3
- Unable to run chatbot.py.Getting an error
- Using the Pre-Trained Model for Regression
- Weird Unreadable Response HOT 2
- Error with reddit-parser HOT 123
- Issue with train.py - error loading data
- Question: HOT 1
- Even the checkpont file is in the correct directory it is not identifying it HOT 5
- Chatbot output russian chars issue HOT 1
- question chatbot HOT 2
- no module named tensorflow.contrib HOT 7
- requirements.txt HOT 1
- Parse Reddit Corpus in zip format
- Parse Reddit Corpus in zip format
- Can I delete old ckpt files when training?
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