Continual Inference Versions Save

A Python library for Continual Inference Networks in PyTorch

v1.2.3

11 months ago

Fixed

  • Ensure state_buffer remains on the same device after clean_state.

v1.2.2

11 months ago

Fixed

  • Option to use strings to specify transformer activation.

v1.2.1

1 year ago

Added

  • Onnx as dev requirement.

Changed

  • Allow torch>=2.0.

v1.2.0

1 year ago

Added

  • Skip module.
  • "leading" mode in Residual.

v1.1.3

1 year ago

### Added

  • Description of state handling to README.

Fixed

  • Documentation formatting for co.Identity() examples.
  • Horovod check for newer pytorch lightning versions.

v1.1.2

1 year ago

### Added

  • query_index argument to SingleOutputTransformerEncoderLayer.

Fixed

  • Residual centred residual and Delay auto_delay forward_step.

v1.1.1

1 year ago

### Added

  • Support for GroupNorm and InstanceNorm

v1.1.0

1 year ago

### Added

  • append function to co.Sequential.
  • Production-ready docstrings for public functions.
  • reduce_max to Reduce.

### Changed

  • Rename Unity to Identity to follow torch.nn.
  • Major overhaul of README, improving descriptions and adding benchmark.
  • Major overhaul of docs, improving descriptions and adding benchmark.
  • MHA warnings to only log once.

Removed

  • Unused parameters batch_first and bidirectional for RNN, GRU, and LSTM.

v1.0.4

1 year ago

Fixed

  • co.Conditional onnx support for single-option config.

v1.0.3

1 year ago

Fixed

  • co.Conditional onnx support.