clab / clab/dynet

Default Initialization of RNNs

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#1,448 8 comments 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
C++
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Forks
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Description

Hi there,

I am trying to find out what is the default intialization for all RNN parameters in DyNet. I have a model in PyTorch that is consistently underperforming its counterpart in DyNet and I want to find out why. I couldn't find any specific information neither by looking at the docs nor the C++ code (which doesn't imply that isn't there, of course). I'd appreciate any hints!

Contributor guide

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Research direction

Review the DyNet documentation and C++ code to locate how default initialization is defined for RNN parameters. Compare the relevant behavior with the PyTorch model described in the issue. Done would be a clear, documented account of the defaults, if the project decides to address the question.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp, pytorch
Domain
machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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