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Make results reproducible #114

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Jul 22, 2021
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Make results reproducible #114

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13 changes: 13 additions & 0 deletions Task_1/openfl-workspace/fets_challenge_workspace/impl/fets_challenge_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@

# Contributing Authors (alphabetical):
# Brandon Edwards (Intel)
# Patrick Foley (Intel)
# Sarthak Pati (University of Pennsylvania)
# Micah Sheller (Intel)

Expand Down Expand Up @@ -216,6 +217,18 @@ def __init_2(self,

self.device = device

# For experiment reproducability
seed = 42
np.random.seed(seed)
random.seed(42)
torch.use_deterministic_algorithms(True)
torch.manual_seed(seed)
if self.device != 'cpu':
torch.cuda.manual_seed_all(seed)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False


# FIXME: this puts priority for these values on data object over flplan. Is this correct?
if hasattr(data, 'n_classes') and data.n_classes is not None:
self.n_classes = data.n_classes
Expand Down