Release v23.0.0

23.0.0 - 2023-03-03

Breaking

• The minimum required Python version is now 3.9 (#87)
• The torch-cpu feature has been renamed to torch as it wasn't limited to CPU-only variants. (#76)

Added

• Enable exporting ONNX policies for Gaussian MLPs in emote.extra.onnx_exporter. This allows you to peridiocally write ONNX files to disk. (#80)
• Add system performance logger in emote.extra.system_logger. This'll log memory and CPU usage to Tensorboard. (#81)
• Add memory warmup waiter in emote.memory.memory to ensure the memory has enough data before starting to sample. This avoids the collector having to block the training loop when training async. (#78)

Changed

• Our PDM plugin for torch management has been split off into a separate repository and published to PYPI. (#88)
• Switch to PDM 2.3 as default version for testing (#62)
• The input key used for Feature Agent Proxies can now be customized (#79)