Comments (6)
As you can see in the examples folder to make it work correctly you should write:
strategy.eval(scenario.eval_stream)
@AntonioCarta Should we stick with this name for the test/evaluation stream or should we change it?
from avalanche-rl.
I think test_stream
is a better default. Most benchmarks have a train/test
split, not a train/eval
split.
from avalanche-rl.
As you can see in the examples folder to make it work correctly you should write:
strategy.eval(scenario.eval_stream)
@AntonioCarta Should we stick with this name for the test/evaluation stream or should we change it?
Yes, thank you. Pardon me, now, as I save the checkpoints, I get this error during the evaluation when I use eval_stream:
RuntimeError: Checkpoint file checkpoints/99/checkpoint.pth already exists.
What is the problem? However, I save the checkpoint at end!
from avalanche-rl.
We changed the checkpointing mechanism in the avalanche master because it had some issues. It is also untested with avalanche-RL still, so you may have to wait for the next avalanche release for a stable checkpointing system.
from avalanche-rl.
Thank you so much for your reply. Excuse me, when the next version of Avalanche will be release?
Thanks
from avalanche-rl.
It's planned for the end of June. Avalanche-rl will support the new version soon after the release.
from avalanche-rl.
Related Issues (14)
- Run examples in github actions and check exit code
- Support latest version of Avalanche
- Error in forgetting_metrics HOT 9
- Error related to avalanche.training.strategies HOT 1
- FIX CI
- 'DQNStrategy' object has no attribute 'clock' HOT 1
- Memory Management
- Restructure file location
- PPO Implementation
- Add citation to Avalanche-RL paper HOT 1
- Moving benchmarks to avalanche HOT 6
- Support new Avalanche version HOT 3
- Add fancy badges in Readme
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