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Add batch_shape property to SingleTaskVariationalGP #1799

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Add batch_shape property to SingleTaskVariationalGP #1799

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11 changes: 11 additions & 0 deletions botorch/models/approximate_gp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -426,6 +426,17 @@ def __init__(

self.to(train_X)

@property
def batch_shape(self) -> torch.Size:
r"""The batch shape of the model.

This is a batch shape from an I/O perspective. For a model with `m`
outputs, a `test_batch_shape x q x d`-shaped input `X` to the `posterior`
method returns a Posterior object over an output of shape
`broadcast(test_batch_shape, model.batch_shape) x q x m`.
"""
return self._input_batch_shape

def init_inducing_points(
self,
inputs: Tensor,
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2 changes: 2 additions & 0 deletions test/models/test_approximate_gp.py
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Expand Up @@ -97,6 +97,8 @@ def test_posterior(self):
model = SingleTaskVariationalGP(tx, ty, inducing_points=tx)
posterior = model.posterior(test)
self.assertIsInstance(posterior, GPyTorchPosterior)
# test batch_shape property
self.assertEqual(model.batch_shape, tx.shape[:-2])

def test_variational_setUp(self):
for dtype in [torch.float, torch.double]:
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