Comments (4)
@Deepblue129 Thanks for the feedback. We are working on benchmarks on both effectiveness and efficiency performances, and we will try to optimize w.r.t. the benchmarks.
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@kylegao91 Forked the version online. I've made it faster on my system by incorporating ideas from other libraries.
The README mentions, "For major contributions and new features, please discuss with the collaborators in corresponding issues.". How should I go about doing that?
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@Deepblue129 Could you please elaborate a bit about the ideas you incorporated? You are welcome to make a pull request as well. Thanks in advance.
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@kylegao91 Looking to send pull requests for all the ideas that I've sent issues about. Looking into the policies of me contributing on the behalf of my company before I can!
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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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