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Add global random seed for deterministic tests #95

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Add global random seed for deterministic tests #95

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37e0b4c
tests: update test_torch_model.py to use seed in random
allrob23 Oct 3, 2024
161e87e
tests: update test_torch_module.py to use seed in random
allrob23 Oct 3, 2024
72c4cc2
update test_keras_model.py to use seed in random
allrob23 Oct 8, 2024
656eaca
update test_torch_model.py to use seed in torch.rand
allrob23 Oct 8, 2024
582e7f2
update test_torch_module.py to use seed in torch.rand
allrob23 Oct 8, 2024
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1 change: 1 addition & 0 deletions tests/models/test_keras_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
except ImportError:
pass

random.seed(42)

# def assert_variables_updated(
# input_value: float,
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4 changes: 4 additions & 0 deletions tests/models/test_torch_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,9 +10,13 @@
from botorch.models.transforms.input import AffineInputTransform
from lume_model.models import TorchModel
from lume_model.variables import InputVariable, OutputVariable, ScalarOutputVariable

torch.manual_seed(42)
except ImportError:
pass

random.seed(42)


# def assert_variables_updated(
# input_value: float,
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3 changes: 3 additions & 0 deletions tests/models/test_torch_module.py
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Expand Up @@ -9,9 +9,12 @@
import torch
from botorch.models import SingleTaskGP
from lume_model.models import TorchModel, TorchModule

torch.manual_seed(42)
except ImportError:
pass

random.seed(42)

def assert_california_module_result(result: torch.Tensor, idx=None):
target = torch.tensor([4.0636503726, 2.7774916915, 2.7928111793], dtype=result.dtype)
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