0.8.0

This release fixes crop behavior of TorchModel, as well as adds new blocks and methods:

• InternBlock with deformable convolutions
• separate BottleneckBlock that extends the functionality of ResBlock
• method for getting a reference to the current TorchModel instance inside train/predict contexts
• mode parameter for train and predict methods to control nn.Module behavior.

Also, this is the first version after numpy deprecation of autocast to dtype=object of mishaped arrays, so this is fixed in some places.

0.7.7

This release fixes one small TorchModel bug.

0.7.6

This release changes the way Batch.apply_parallel works: now it accepts both init and post functions, and should be the preferrable way to decorate batch methods (by marking them with decorators.apply_parallel).

Other than that, there are a few new building blocks for TorchModel, parameter to pad the last microbatches to full microbatch_size, and small bug fixes.

0.7.5

Models

• added gradient clipping and new layers

Plot

• refactored existing plots across the library to rely on plot, introduced in the previous release

Research improvements

• modified stored configs to use aliases instead of actual values: that fixes some pickling problems

0.7.0

Models

• refactored model building procedure: split modules into separate entities like EncoderModule and DecoderModule
• introduced new modules that import ready-to-use networks from other libraries: currently, we support TIMM and HuggingFace libraries
• better module repr
• check #645 for other changes

Plot

• introduced plot module with utilities for displaying images and curves
• plot has a few tutorials with lots of examples: refer to them to get a more in-depth understanding of plot usages

Research improvements

• added separate Storage class, that manages output streams of research results.
• various fixes and QoL changes

0.6.0

Named expressions

Added BA

Models

Removed tensorflow

Research

Added research module for massive parallel model training / evaluation.

Tutorials and examples

New tutorials.

Also added some tests.

0.5.0

Lots of improvements and bug fixes

v0.5.0beta3

Update __init__.py

v0.5.0beta1

Update __init__.py

v0.5.0beta2

Update release-check.yml