-
Notifications
You must be signed in to change notification settings - Fork 705
Open
Description
Wondering if anyone has successfully ran the Optuna hparams sweeper using lists
within the choice
of params
?
For example, with otherwise default parameters, something like this:
params:
model.optimizer.lr: interval(0.0001, 0.1)
model.optimizer.weight_decay: choice(0.0, 0.001, 0.00001, 0.0000001)
...
model.net.n_rows_fc: choice("[128, 32]", "[128]", "[64, 32]", "[64]")
model.net.dropouts: choice("[0.0, 0.0, 0.0]", "[0.25, 0.25, 0.25]", "[0.4, 0.4, 0.4]", "[0.5, 0.5, 0.5]")
Yields this:
Traceback (most recent call last):
File "/homefs/home/shmilovk/micromamba/envs/abs_binding_affinity/lib/python3.10/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
return func()
File "/homefs/home/shmilovk/micromamba/envs/abs_binding_affinity/lib/python3.10/site-packages/hydra/_internal/utils.py", line 466, in <lambda>
lambda: hydra.multirun(
File "/homefs/home/shmilovk/micromamba/envs/abs_binding_affinity/lib/python3.10/site-packages/hydra/_internal/hydra.py", line 162, in multirun
ret = sweeper.sweep(arguments=task_overrides)
File "/homefs/home/shmilovk/micromamba/envs/abs_binding_affinity/lib/python3.10/site-packages/hydra_plugins/hydra_optuna_sweeper/optuna_sweeper.py", line 52, in sweep
return self.sweeper.sweep(arguments)
File "/homefs/home/shmilovk/micromamba/envs/abs_binding_affinity/lib/python3.10/site-packages/hydra_plugins/hydra_optuna_sweeper/_impl.py", line 391, in sweep
raise e
File "/homefs/home/shmilovk/micromamba/envs/abs_binding_affinity/lib/python3.10/site-packages/hydra_plugins/hydra_optuna_sweeper/_impl.py", line 357, in sweep
values = [float(ret.return_value)]
File "/homefs/home/shmilovk/micromamba/envs/abs_binding_affinity/lib/python3.10/site-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
RuntimeError: Trying to create tensor with negative dimension -64: [32979, -64]
Strangely, the initial startup trials execute without error -- however the followup job executed by Optuna immediately fail.
Metadata
Metadata
Assignees
Labels
No labels