Fastai Versions Save

New Features

• Enhancement: Let TextDataLoaders take in a custom tok_text_col (#3208), thanks to @muellerzr
• Changed dataloaders arguments to have consistent overrides (#3178), thanks to @marii-moe
• Better support for iterable datasets (#3173), thanks to @jcaw

Bugs Squashed

• BrokenProcessPool in download_images() on Windows (#3196)
• error on predict() or using interp with resnet and MixUp (#3180)
• Fix 'cat' attribute with pandas dataframe: AttributeError: Can only use .cat accessor with a 'category' dtype (#3165), thanks to @dreamflasher
• cont_cat_split does not support pandas types (#3156)
• DataBlock.dataloaders does not support the advertised "shuffle" argument (#3133)

New Features

• Calculate correct nf in create_head based on concat_pool (#3115), thanks to @muellerzr

Bugs Squashed

• wandb integration failing with latest wandb library (#3066)
• Learner.load and LRFinder not functioning properly for the optimizer states (#2892)

Bugs Squashed

• tensorboard and wandb can not access smooth_loss (#3131)

Breaking Changes

• Promote NativeMixedPrecision to default MixedPrecision (and similar for Learner.to_fp16); old MixedPrecision is now called NonNativeMixedPrecision (#3127)
  • Use the new GradientClip callback instead of the clip parameter to use gradient clipping
• Adding a Callback which has the same name as an attribute no longer raises an exception (#3109)
• RNN training now requires RNNCallback, but does not require RNNRegularizer; out and raw_out have moved to RNNRegularizer (#3108)
  • Call rnn_cbs to get all callbacks needed for RNN training, optionally with regularization
• replace callback run_after with order; do not run after cbs on exception (#3101)

New Features

• Add GradientClip callback (#3107)
• Make Flatten cast to TensorBase to simplify type compatibility (#3106)
• make flattened metrics compatible with all tensor subclasses (#3105)
• New class method TensorBase.register_func to register types for __torch_function__ (#3097)
• new dynamic flag for controlling dynamic loss scaling in NativeMixedPrecision (#3096)
• remove need to call to_native_fp32 before predict; set skipped in NativeMixedPrecision after NaN from dynamic loss scaling (#3095)
• make native fp16 extensible with callbacks (#3094)
• Calculate correct nf in create_head based on concat_pool (#3115) thanks to @muellerzr

New Features

• Small DICOM segmentation dataset (#3034), thanks to @moritzschwyzer

Bugs Squashed

• NoneType object has no attribute append in fastbook chapter 6 BIWI example (#3091)

New Features

• Refactor MixUp and CutMix into MixHandler (#3037), thanks to @muellerzr
  • Refactors into a general MixHandler class, with MixUp and CutMix simply implementing a before_batch to perform the data augmentation. See fastai.callback.mixup

Bugs Squashed

• Gradient Accumulation + Mixed Precision shows artificially high training loss (#3048)

2.1.8

New Features

Bugs Squashed

• Update for fastcore negate_func->not_
• LR too high for gradient accumulation (#3040), thanks to @marii-moe
• Torchscript transforms incompatibility with nn.Sequential (#2920)

2.1.7

New Features

• Pytorch 1.7 subclassing support (#2769)

Bugs Squashed

• unsupported operand type(s) for +=: 'TensorCategory' and 'TensorText' when using AWD_LSTM for text classification (#3027)
• UserWarning when using SaveModelCallback() on after_epoch (#3025)
• Segmentation error: no implementation found for 'torch.nn.functional.cross_entropy' on types that implement torch_function (#3022)
• TextDataLoaders.from_df() returns TypeError: 'float' object is not iterable (#2978)
• Internal assert error in awd_qrnn (#2967)

2.1.6

New Features

• Option to preserve filenames in download_images (#2983), thanks to @mess-lelouch
• Deprecate config in create_cnn and instead pass kwargs directly (#2966), thanks to @borisdayma

Bugs Squashed

• Progress and Recorder callbacks serialize their data, resulting in large Learner export file sizes (#2981)
• TextDataLoaders.from_df() returns TypeError: 'float' object is not iterable (#2978)
• "only one element tensors can be converted to Python scalars" exception in Siamese Tutorial (#2973)
• Learn.load and LRFinder not functioning properly for the optimizer states (#2892)

2.1.5

Breaking Changes

• remove log_args (#2954)

New Features

• Improve performance of RandomSplitter (h/t @muellerzr) (#2957)

Bugs Squashed

• Exporting TabularLearner via learn.export() leads to huge file size (#2945)
• TensorPoint object has no attribute img_size (#2950)