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Michael Panchenko 2024-04-26 17:53:34 +02:00
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@ -19,6 +19,9 @@
- New `evaluation` package for repeating the same experiment with multiple seeds and aggregating the results (important extension!). - New `evaluation` package for repeating the same experiment with multiple seeds and aggregating the results (important extension!).
Launchers for parallelization currently in alpha state. #1074 Launchers for parallelization currently in alpha state. #1074
- Loggers can now restore the logged data into python by using the new `restore_logged_data` method. #1074 - Loggers can now restore the logged data into python by using the new `restore_logged_data` method. #1074
- Base class for collectors: `BaseCollector` #1122
- Collectors can now explicitly specify whether to use the policy in training or evaluation mode. #1122
- New util context managers `in_eval_mode` and `in_train_mode` for torch modules. #1122
### Internal Improvements ### Internal Improvements
- `Collector`s rely less on state, the few stateful things are stored explicitly instead of through a `.data` attribute. #1063 - `Collector`s rely less on state, the few stateful things are stored explicitly instead of through a `.data` attribute. #1063
@ -35,6 +38,8 @@ instead of just `nn.Module`. #1032
- tests and examples are covered by `mypy`. #1077 - tests and examples are covered by `mypy`. #1077
- `NetBase` is more used, stricter typing by making it generic. #1077 - `NetBase` is more used, stricter typing by making it generic. #1077
- Use explicit multiprocessing context for creating `Pipe` in `subproc.py`. #1102 - Use explicit multiprocessing context for creating `Pipe` in `subproc.py`. #1102
- Removed all `if __name__ == "__main__":` blocks from tests. #1123
- Improved typing issues in tests with buffer and collector. #1123
### Breaking Changes ### Breaking Changes