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I noticed there's a "batch_size" parameter for experiments.run_one_replication() but in experiments_util.get_acqf(), line 465 - 508, it will trigger some error on purpose if batch size is not 1. I tried to surpass the "batch_size == 1" condition but it triggers error elsewhere.
Is there any fix to enable batched optimization?
The text was updated successfully, but these errors were encountered:
I don't think we ran any batch sizes q > 1 for the paper, so I'm not sure this is expected to work here - @sdaulton?
In general it's not hard to support this, but this is an archival repo, and so we wouldn't make the changes here (and instead in the BoTorch PR here: pytorch/botorch#1533).
I noticed there's a "batch_size" parameter for experiments.run_one_replication() but in experiments_util.get_acqf(), line 465 - 508, it will trigger some error on purpose if batch size is not 1. I tried to surpass the "batch_size == 1" condition but it triggers error elsewhere.
Is there any fix to enable batched optimization?
The text was updated successfully, but these errors were encountered: