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@raulpuric raulpuric released this 12 Dec 19:35
· 112 commits to master since this release
v0.1
388757f
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Module updates

  • Fused LSTM kernels in mLSTM module with fuse_lstm flags
    Model updates
  • improved model serialization size and options
    • no saving of gradients
    • saving optimizer is optional
    • reloading weights trained with weight norm is more stable
      Weight Norm/Reparameterization update
  • modified hooks to work with fused LSTM kernel
    Data updates
  • Parses dataset types (csv, json, etc) automatically. Only need to specify supervised vs unsupervised
  • Added loose json functionality
  • Tested csv datasets more thoroughly
  • Save Names of processed results fixed so that original file's name stays the same now.
  • Fixed DataParallel/DistributedDP batching of evaluation datasets
  • Made it easier to specify validation/test datasets
  • Made it easier to specify dataset shards
  • Added negative sequence lengths for datasets.
Assets 2