Skip to content

Latest commit

 

History

History
74 lines (44 loc) · 2.19 KB

NEWS.md

File metadata and controls

74 lines (44 loc) · 2.19 KB
Raw

2.2.2

  • Updated installation function install_fastai

2.2.1

  • Fixed breaking changes during model training
  • Updated installation function install_fastai

2.0.9

  • PyTorch version is 1.9
  • lr_find bug is fixed

2.0.8

  • minor fixes

2.0.7

  • bs_finder is fixed
  • better visualization on Colab. Issue with fig size is fixed

2.0.6

  • new function to load_learner
  • unet_config is Deprecated
  • while installing fast.ai Mac OS, first, it downloads PyTorch 1.8, then 1.7.1. It is fixed, now.
  • nn_module() function allows to rename the model, e.g. summary(model)
  • nn_module() will not move the model to GPU, if gpu argument is FALSE (by default it is TRUE)
  • custom loss functions with nn_loss(). Based on Kaggle notebook

2.0.5

  • install_fastai no more supports extensions. They need to be installed separately by users.
  • PyTorch was upgraded from 1.7.0 to 1.7.1.

2.0.4

  • stick to fastaudio 0.1.3 (resolve dependencies)
  • add geom_point for interactive visualization within RStudio
  • add TPU module into fastai

2.0.3

2.0.2

  • Hugging Face integration, prediction
  • one_batch() ability to add more arguments
  • no need to call options(reticulate.useImportHook = FALSE)
  • DataBlock automatically places data into cuda if available

2.0.1

  • nn_module for model construction
  • fix_fit for disabling the training plot
  • all the fit functions now return the training history

fastai 2.0.0

  • Initial release