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Fix for stochastic evaluation results. #112

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Fix for stochastic evaluation results. #112

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4 changes: 4 additions & 0 deletions robomimic/scripts/run_trained_agent.py
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Expand Up @@ -217,6 +217,10 @@ def run_trained_agent(args):
np.random.seed(args.seed)
torch.manual_seed(args.seed)

# Fix to get deterministic results.
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False

# maybe create video writer
video_writer = None
if write_video:
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