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Some visualization types assume episode lengths > 1. VizSuite further assumes action spaces are Discrete(n).
Modify projects/tutorials/running_inference_tutorial.py with:
projects/tutorials/running_inference_tutorial.py
def machine_params(self, mode="train", **kwargs): res = super().machine_params(mode, **kwargs) if mode in ["test", "valid"]: res.set_visualizer(self.get_viz(mode)) return res @classmethod def training_pipeline(cls, **kwargs): pipeline = super().training_pipeline(**kwargs) pipeline.save_interval = 1 return pipeline
Then run training with python main.py projects/tutorials/running_inference_tutorial.py -o debug_valid_viz -l debug
python main.py projects/tutorials/running_inference_tutorial.py -o debug_valid_viz -l debug
The text was updated successfully, but these errors were encountered:
jordis-ai2
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Problem
Some visualization types assume episode lengths > 1. VizSuite further assumes action spaces are Discrete(n).
Steps to reproduce
Modify
projects/tutorials/running_inference_tutorial.py
with:Then run training with
python main.py projects/tutorials/running_inference_tutorial.py -o debug_valid_viz -l debug
The text was updated successfully, but these errors were encountered: