Fix MP and CPU offload tests for Funnel and GPT-Neo (#17503)

tests/test_modeling_common.py

@@ -2217,9 +2217,12 @@ class ModelTesterMixin:
     @require_accelerate
     @require_torch_gpu
     def test_disk_offload(self):
+        if all([model_class._no_split_modules is None for model_class in self.all_model_classes]):
+            return
+
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
-        if isinstance(getattr(config, "num_hidden_layers", None), int) and config.num_hidden_layers < 5:
-            config.num_hidden_layers = 5
+        if isinstance(getattr(config, "num_hidden_layers", None), int) and config.num_hidden_layers < 4:
+            config.num_hidden_layers = 4
 
         for model_class in self.all_model_classes:
             if model_class._no_split_modules is None:
@@ -2253,9 +2256,12 @@ class ModelTesterMixin:
     @require_accelerate
     @require_torch_gpu
     def test_cpu_offload(self):
+        if all([model_class._no_split_modules is None for model_class in self.all_model_classes]):
+            return
+
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
-        if isinstance(getattr(config, "num_hidden_layers", None), int) and config.num_hidden_layers < 5:
-            config.num_hidden_layers = 5
+        if isinstance(getattr(config, "num_hidden_layers", None), int) and config.num_hidden_layers < 4:
+            config.num_hidden_layers = 4
 
         for model_class in self.all_model_classes:
             if model_class._no_split_modules is None:
@@ -2286,9 +2292,12 @@ class ModelTesterMixin:
     @require_accelerate
     @require_torch_multi_gpu
     def test_model_parallelism(self):
+        if all([model_class._no_split_modules is None for model_class in self.all_model_classes]):
+            return
+
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
-        if isinstance(getattr(config, "num_hidden_layers", None), int) and config.num_hidden_layers < 5:
-            config.num_hidden_layers = 5
+        if isinstance(getattr(config, "num_hidden_layers", None), int) and config.num_hidden_layers < 4:
+            config.num_hidden_layers = 4
 
         for model_class in self.all_model_classes:
             if model_class._no_split_modules is None: