🐛 Notify users about dependency condition (#150)

Author: MiWeiss

tests_unit/keras_assumptions_tests/test_experimental_calls_exist.py

@@ -1,8 +1,13 @@
 import inspect
+import unittest
 from unittest import TestCase
 
 import tensorflow as tf
 
+from uncertainty_wizard.internal_utils.tf_version_resolver import (
+    current_tf_version_is_older_than,
+)
+
 
 class TestExperimentalAPIAreAvailable(TestCase):
     """
@@ -21,6 +26,9 @@ def test_list_physical_devices(self):
         self.assertTrue("device_type" in parameters)
         self.assertEqual(1, len(parameters))
 
+    @unittest.skipIf(
+        not current_tf_version_is_older_than("2.10.0"), "Known to fail for tf >= 2.10.0"
+    )
     def test_virtual_device_configuration(self):
         self.assertTrue("VirtualDeviceConfiguration" in dir(tf.config.experimental))
         parameters = inspect.signature(

uncertainty_wizard/models/ensemble_utils/_lazy_contexts.py

@@ -7,6 +7,9 @@
 
 import tensorflow as tf
 
+from uncertainty_wizard.internal_utils.tf_version_resolver import (
+    current_tf_version_is_older_than,
+)
 from uncertainty_wizard.models.ensemble_utils._save_config import SaveConfig
 
 global number_of_tasks_in_this_process
@@ -35,7 +38,7 @@ def __init__(self, model_id: int, varargs: dict = None):
         it will have to generate a context.
         Later, to make it easier for custom child classes of EnsembleContextManager,
         a (now still empty) varargs is also passed which may be populated with more information
-        in future versions of uncertainty_wizard.
+        in future s of uncertainty_wizard.
         """
         self.ensemble_id = (model_id,)
         self.varargs = varargs
@@ -225,6 +228,15 @@ class DeviceAllocatorContextManager(EnsembleContextManager, abc.ABC):
     the abstract methods.
     """
 
+    def __init__(self):
+        super().__init__()
+        if not current_tf_version_is_older_than("2.10.0"):
+            raise RuntimeError(
+                "The DeviceAllocatorContextManager is not compatible with tensorflow 2.10.0 "
+                "or newer. Please fall back to a single GPU for now (see issue #75),"
+                "or downgrade to tensorflow 2.9.0."
+            )
+
     # docstr-coverage: inherited
     def __enter__(self) -> "DeviceAllocatorContextManager":
         super().__enter__()