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Use @fast_botorch_optimize to fix test timeouts #2556

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Use @fast_botorch_optimize to fix test timeouts #2556

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8 changes: 6 additions & 2 deletions ax/utils/sensitivity/tests/test_sensitivity.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,13 +34,15 @@
SobolSensitivityGPSampling,
)
from ax.utils.testing.core_stubs import get_branin_experiment
from ax.utils.testing.mock import fast_botorch_optimize
from botorch.models.gpytorch import BatchedMultiOutputGPyTorchModel, GPyTorchModel
from botorch.models.model_list_gp_regression import ModelListGP
from botorch.utils.transforms import unnormalize
from gpytorch.distributions import MultivariateNormal
from torch import Tensor


@fast_botorch_optimize
def get_modelbridge(modular: bool = False, saasbo: bool = False) -> ModelBridge:
exp = get_branin_experiment(with_batch=True)
exp.trials[0].run()
Expand Down Expand Up @@ -152,6 +154,8 @@ def test_SobolGPMean(self) -> None:
self.assertEqual(total_order.shape, torch.Size([2]))
self.assertEqual(second_order.shape, torch.Size([1]))

def test_SobolGPMean_SAASBO(self) -> None:
bounds = torch.tensor([(0.0, 1.0) for _ in range(2)]).t()
sensitivity_mean_saas = SobolSensitivityGPMean(
self.saas_model, num_mc_samples=10, bounds=bounds, second_order=True
)
Expand Down Expand Up @@ -312,7 +316,7 @@ def test_SobolGPMean(self) -> None:
set_rng_seed(seed)
# Unsigned
ind_dict = ax_parameter_sens(
model_bridge=bridge, # pyre-ignore
model_bridge=bridge,
metrics=None,
order="total",
signed=False,
Expand All @@ -327,7 +331,7 @@ def test_SobolGPMean(self) -> None:
set_rng_seed(seed) # reset seed to keep discrete features the same
cat_indices = bridge.model.search_space_digest.categorical_features
ind_dict_signed = ax_parameter_sens(
model_bridge=bridge, # pyre-ignore
model_bridge=bridge,
metrics=None,
order="total",
signed=True,
Expand Down