fix mps errors for older pytorch versions

tests/ignite/distributed/test_auto.py

@@ -12,6 +12,7 @@
 
 import ignite.distributed as idist
 from ignite.distributed.auto import auto_dataloader, auto_model, auto_optim, DistributedProxySampler
+from ignite.distributed.comp_models.base import _torch_version_le_112
 from tests.ignite import is_mps_available_and_functional
 
 
@@ -181,7 +182,8 @@ def _test_auto_model_optimizer(ws, device):
 
 
 @pytest.mark.skipif(
-    torch.backends.mps.is_available() and not is_mps_available_and_functional(), reason="Skip if MPS not functional"
+    _torch_version_le_112 or (torch.backends.mps.is_available() and not is_mps_available_and_functional()),
+    reason="Skip if MPS not functional",
 )
 def test_auto_methods_no_dist():
     _test_auto_dataloader(1, 1, batch_size=1)

tests/ignite/distributed/test_launcher.py

@@ -8,6 +8,7 @@
 from packaging.version import Version
 
 import ignite.distributed as idist
+from ignite.distributed.comp_models.base import _torch_version_le_112
 from ignite.distributed.utils import has_hvd_support, has_native_dist_support, has_xla_support
 from tests.ignite import is_mps_available_and_functional
 
@@ -56,7 +57,8 @@ def execute(cmd, env=None):
 
 
 @pytest.mark.skipif(
-    torch.backends.mps.is_available() and not is_mps_available_and_functional(), reason="Skip if MPS not functional"
+    _torch_version_le_112 or (torch.backends.mps.is_available() and not is_mps_available_and_functional()),
+    reason="Skip if MPS not functional",
 )
 def test_check_idist_parallel_no_dist(exec_filepath):
     cmd = [sys.executable, "-u", exec_filepath]