Comments (5)
kylegao91
commented on July 21, 2024
1
@surajit-techie Sorry the documentation hasn't been updated yet. Supposed you call the topk decoder as outputs, hidden, info = model(...), the top K sequences are stored in info['topk_sequence']. It is documented at here.
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kylegao91
commented on July 21, 2024
Hi @abhiskk , sorry for the late reply. Yes your understanding is correct. However TopKDecoder is a bit outdated... We will fix it and let you know.
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abhiskk
commented on July 21, 2024
Thanks @kylegao91, appreciate it. 👏 for the work on repository, I am having a good time working with the codebase.
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kylegao91
commented on July 21, 2024
@abhiskk Would you like to try the updated code in topk branch? There should be example usage in scripts/integration_test.py.
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zephyrzilla
commented on July 21, 2024
I looked up scripts/integration_test.py in topk branch, but the Predictor does not return top-k sequences when the Seq2Seq object with TopKDecoder is used.
How do I get topk predictions using the updated TopKDecoder?
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Related Issues (20)
- RuntimeError occurs running integration_test.py HOT 1
- How is the memory optimized when using pre-trained embeddings like FastText and etc? HOT 1
- Dropout error using external embeddings HOT 3
- Dev branch: toy training stops after 2 epochs HOT 2
- Main advantages of develop branch? HOT 1
- beam search
- TopKDecoder HOT 6
- Decode function in decoder HOT 2
- GPU error when run sample code HOT 4
- RuntimeError when running Samplescript without attention in the develop branch HOT 2
- Memory leak HOT 2
- Error for cuda and cpu HOT 8
- .travis.yml: The 'sudo' tag is now deprecated in Travis CI
- pre-trained word embedding HOT 1
- Teacher forcing during beam decoding
- The dimension of predicted_softmax in DecoderRNN.py
- Out of memory for NLLLoss even the batch size is small
- Teacher forcing per timestep? HOT 1
- About section
- AttributeError: module 'torchtext.data' has no attribute 'Field' HOT 2
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