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Implement Weights & Biases logger #182
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AngelFP
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Other changes: - Include `comms` in `persis_info` to detect if gen ir running o a thread. - Update generator after calling `libE` only if not running with `threads`. It is not needed to do it in that case, because the memory is shared. - Fix bug in `attach_evaluations` when the fields in the data contain arrays. - Add `completed_trials` property to `Generator`. - Log trials in `Generator`. - Do not run `_prepare_to_send` when the generator runs on a thread. - Implement `_prepare_to_send_back`, which clears the logger before sending back the generator to the manager.
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…/optimas into feature/wandb_logger
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…/optimas into feature/wandb_logger
AngelFP
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[WIP] Implement Weights & Biases logger
Implement Weights & Biases logger
Mar 8, 2024
for more information, see https://pre-commit.ci
…/optimas into feature/wandb_logger
I have run this on a standalone system and it worked fine. On my laptop it causes a my laptop to crash, but that may be a general issue. |
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This PR implements a new
WandBLogger
class that can be added to andExploration
to track the evolution of all parameters, objectives and other analyzed parameters to Weights & Biases (https://wandb.ai).Changes
Logger
class, andWandBLogger
.logger
argument toExploration
.data
property toTrial
, which returns a dict with all parameters and values.persis_info
. This is only needed when running with multiprocessing, as a workaround to not being able to pass the gen to libE by reference.RuntimeError
. Since this only needs to be done when sending back, a new_prepare_to_send_back
method has been added to the gen.See example: