🔥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/bart/test_modeling_bart.py

@@ -28,6 +28,7 @@ from transformers.utils import cached_property
 from ...generation.test_utils import GenerationTesterMixin
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
+from ...test_pipeline_mixin import PipelineTesterMixin
 
 
 if is_torch_available():
@@ -414,13 +415,28 @@ class BartHeadTests(unittest.TestCase):
 
 
 @require_torch
-class BartModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
+class BartModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (
         (BartModel, BartForConditionalGeneration, BartForSequenceClassification, BartForQuestionAnswering)
         if is_torch_available()
         else ()
     )
     all_generative_model_classes = (BartForConditionalGeneration,) if is_torch_available() else ()
+    pipeline_model_mapping = (
+        {
+            "conversational": BartForConditionalGeneration,
+            "feature-extraction": BartModel,
+            "fill-mask": BartForConditionalGeneration,
+            "question-answering": BartForQuestionAnswering,
+            "summarization": BartForConditionalGeneration,
+            "text2text-generation": BartForConditionalGeneration,
+            "text-classification": BartForSequenceClassification,
+            "text-generation": BartForCausalLM,
+            "zero-shot": BartForSequenceClassification,
+        }
+        if is_torch_available()
+        else {}
+    )
     is_encoder_decoder = True
     fx_compatible = False  # Fix me Michael
     test_pruning = False

tests/models/bart/test_modeling_tf_bart.py

@@ -25,6 +25,7 @@ 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
 from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
 
 
@@ -188,11 +189,23 @@ def prepare_bart_inputs_dict(
 
 
 @require_tf
-class TFBartModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, unittest.TestCase):
+class TFBartModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (
         (TFBartForConditionalGeneration, TFBartForSequenceClassification, TFBartModel) if is_tf_available() else ()
     )
     all_generative_model_classes = (TFBartForConditionalGeneration,) if is_tf_available() else ()
+    pipeline_model_mapping = (
+        {
+            "conversational": TFBartForConditionalGeneration,
+            "feature-extraction": TFBartModel,
+            "summarization": TFBartForConditionalGeneration,
+            "text2text-generation": TFBartForConditionalGeneration,
+            "text-classification": TFBartForSequenceClassification,
+            "zero-shot": TFBartForSequenceClassification,
+        }
+        if is_tf_available()
+        else {}
+    )
     is_encoder_decoder = True
     test_pruning = False
     test_onnx = True