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dynamic-program-embedding

This is the code for our ICLR'18 paper:

Please cite the above paper if you use our code.

The code is released under the MIT license.

Notes

  • Training.py constains Variable Trace Model
  • StateTraining.py constains State Trace Model
  • HybridTraining.py constains Dependency Model
  • For all three models, one would have to prepare the input traces for training program. Please refer to the source code for each model on input format. For dependency model a couple of mask tensors are also needed.

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the code for three models introduced in DYNAMIC NEURAL PROGRAM EMBEDDINGS FOR PROGRAM REPAIR (ICLR 18)

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