🔥Rework pipeline testing by removing PipelineTestCaseMeta 🚀 (#21516)

* Add PipelineTesterMixin

* remove class PipelineTestCaseMeta

* move validate_test_components

* Add for ViT

* Add to SPECIAL_MODULE_TO_TEST_MAP

* style and quality

* Add feature-extraction

* update

* raise instead of skip

* add tiny_model_summary.json

* more explicit

* skip tasks not in mapping

* add availability check

* Add Copyright

* A way to diable irrelevant tests

* update with main

* remove disable_irrelevant_tests

* skip tests

* better skip message

* better skip message

* Add all pipeline task tests

* revert

* Import PipelineTesterMixin

* subclass test classes with PipelineTesterMixin

* Add pipieline_model_mapping

* Fix import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix one more import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix test issues

* Fix import requirements

* Fix mapping for MobileViTModelTest

* Update

* Better skip message

* pipieline_model_mapping could not be None

* Remove some PipelineTesterMixin

* Fix typo

* revert tests_fetcher.py

* update

* rename

* revert

* Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests

* style and quality

* test fetcher for all pipeline/model tests

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/marian/test_modeling_marian.py

@@ -26,6 +26,7 @@ from transformers.utils import cached_property
 from ...generation.test_utils import GenerationTesterMixin
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import ModelTesterMixin, ids_tensor
+from ...test_pipeline_mixin import PipelineTesterMixin
 
 
 if is_torch_available():
@@ -235,9 +236,20 @@ class MarianModelTester:
 
 
 @require_torch
-class MarianModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
+class MarianModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (MarianModel, MarianMTModel) if is_torch_available() else ()
     all_generative_model_classes = (MarianMTModel,) if is_torch_available() else ()
+    pipeline_model_mapping = (
+        {
+            "conversational": MarianMTModel,
+            "feature-extraction": MarianModel,
+            "summarization": MarianMTModel,
+            "text2text-generation": MarianMTModel,
+            "text-generation": MarianForCausalLM,
+        }
+        if is_torch_available()
+        else {}
+    )
     is_encoder_decoder = True
     fx_compatible = True
     test_pruning = False

tests/models/marian/test_modeling_tf_marian.py

@@ -24,6 +24,7 @@ from transformers.utils import cached_property
 
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
+from ...test_pipeline_mixin import PipelineTesterMixin
 
 
 if is_tf_available():
@@ -177,9 +178,19 @@ def prepare_marian_inputs_dict(
 
 
 @require_tf
-class TFMarianModelTest(TFModelTesterMixin, unittest.TestCase):
+class TFMarianModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (TFMarianMTModel, TFMarianModel) if is_tf_available() else ()
     all_generative_model_classes = (TFMarianMTModel,) if is_tf_available() else ()
+    pipeline_model_mapping = (
+        {
+            "conversational": TFMarianMTModel,
+            "feature-extraction": TFMarianModel,
+            "summarization": TFMarianMTModel,
+            "text2text-generation": TFMarianMTModel,
+        }
+        if is_tf_available()
+        else {}
+    )
     is_encoder_decoder = True
     test_pruning = False
     test_onnx = False