fix: sanitize problematic LD_PRELOAD for cuDNN

tests/test_train_vla_transformer_optimizer.py

@@ -214,6 +214,25 @@ class TrainVLATransformerOptimizerTest(unittest.TestCase):
             for group in optimizer.param_groups
         ]
 
+    def test_clean_ld_preload_value_removes_problematic_nxegl_entry(self):
+        module = self._load_train_vla_module()
+
+        cleaned, changed = module._clean_ld_preload_value(
+            '/usr/lib/libfoo.so /usr/NX/lib/libnxegl.so /usr/lib/libbar.so'
+        )
+
+        self.assertTrue(changed)
+        self.assertEqual(cleaned, '/usr/lib/libfoo.so /usr/lib/libbar.so')
+
+    def test_clean_ld_preload_value_leaves_safe_entries_unchanged(self):
+        module = self._load_train_vla_module()
+
+        cleaned, changed = module._clean_ld_preload_value('/usr/lib/libfoo.so /usr/lib/libbar.so')
+
+        self.assertFalse(changed)
+        self.assertEqual(cleaned, '/usr/lib/libfoo.so /usr/lib/libbar.so')
+
+
     def test_configure_cuda_runtime_can_disable_cudnn_for_training(self):
         module = self._load_train_vla_module()
         cfg = AttrDict(train=AttrDict(device='cuda', disable_cudnn=True))