Add cache_root option for qNEI in get_acquisition_function (#1608)

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## Motivation

As discussed in #1604, this PR adds the possibility to setup qNEI with `cache_root=False` via the `get_acquistion` method, as it is already possible for qNEHVI.

### Have you read the [Contributing Guidelines on pull requests](https://github.com/pytorch/botorch/blob/main/CONTRIBUTING.md#pull-requests)?

Yes.

Pull Request resolved: #1608

Test Plan: Unit tests.

Reviewed By: Balandat

Differential Revision: D42346514

Pulled By: saitcakmak

fbshipit-source-id: 63d010c17cdca4147b7efe2cce5dc5cb62da4caa

Author: jduerholt

botorch/acquisition/utils.py

@@ -131,6 +131,7 @@ def get_acquisition_function(
             X_pending=X_pending,
             prune_baseline=kwargs.get("prune_baseline", False),
             marginalize_dim=kwargs.get("marginalize_dim"),
+            cache_root=kwargs.get("cache_root", True),
         )
     elif acquisition_function_name == "qSR":
         return monte_carlo.qSimpleRegret(

test/acquisition/test_utils.py

@@ -217,6 +217,23 @@ def test_GetQNEI(self, mock_acqf):
         self.assertEqual(sampler.sample_shape, torch.Size([self.mc_samples]))
         self.assertEqual(sampler.seed, 1)
         self.assertEqual(kwargs["marginalize_dim"], 0)
+        self.assertEqual(kwargs["cache_root"], True)
+        # test with cache_root = False
+        acqf = get_acquisition_function(
+            acquisition_function_name="qNEI",
+            model=self.model,
+            objective=self.objective,
+            X_observed=self.X_observed,
+            X_pending=self.X_pending,
+            mc_samples=self.mc_samples,
+            seed=self.seed,
+            marginalize_dim=0,
+            cache_root=False,
+        )
+        self.assertTrue(acqf == mock_acqf.return_value)
+        self.assertTrue(mock_acqf.call_count, 1)
+        args, kwargs = mock_acqf.call_args
+        self.assertEqual(kwargs["cache_root"], False)
         # test with non-qmc, no X_pending
         acqf = get_acquisition_function(
             acquisition_function_name="qNEI",