🔥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/gpt2/test_modeling_gpt2.py

@@ -24,6 +24,7 @@ from transformers.testing_utils import require_torch, slow, torch_device
 from ...generation.test_utils import GenerationTesterMixin
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
+from ...test_pipeline_mixin import PipelineTesterMixin
 
 
 if is_torch_available():
@@ -429,13 +430,24 @@ class GPT2ModelTester:
 
 
 @require_torch
-class GPT2ModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
+class GPT2ModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (
         (GPT2Model, GPT2LMHeadModel, GPT2DoubleHeadsModel, GPT2ForSequenceClassification, GPT2ForTokenClassification)
         if is_torch_available()
         else ()
     )
     all_generative_model_classes = (GPT2LMHeadModel, GPT2DoubleHeadsModel) if is_torch_available() else ()
+    pipeline_model_mapping = (
+        {
+            "feature-extraction": GPT2Model,
+            "text-classification": GPT2ForSequenceClassification,
+            "text-generation": GPT2LMHeadModel,
+            "token-classification": GPT2ForTokenClassification,
+            "zero-shot": GPT2ForSequenceClassification,
+        }
+        if is_torch_available()
+        else {}
+    )
     all_parallelizable_model_classes = (GPT2LMHeadModel, GPT2DoubleHeadsModel) if is_torch_available() else ()
     fx_compatible = True
     test_missing_keys = False

tests/models/gpt2/test_modeling_tf_gpt2.py

@@ -20,6 +20,7 @@ from transformers.testing_utils import require_tf, require_tf2onnx, slow
 
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
+from ...test_pipeline_mixin import PipelineTesterMixin
 from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
 
 
@@ -361,13 +362,23 @@ class TFGPT2ModelTester:
 
 
 @require_tf
-class TFGPT2ModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, unittest.TestCase):
+class TFGPT2ModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (
         (TFGPT2Model, TFGPT2LMHeadModel, TFGPT2ForSequenceClassification, TFGPT2DoubleHeadsModel)
         if is_tf_available()
         else ()
     )
     all_generative_model_classes = (TFGPT2LMHeadModel,) if is_tf_available() else ()
+    pipeline_model_mapping = (
+        {
+            "feature-extraction": TFGPT2Model,
+            "text-classification": TFGPT2ForSequenceClassification,
+            "text-generation": TFGPT2LMHeadModel,
+            "zero-shot": TFGPT2ForSequenceClassification,
+        }
+        if is_tf_available()
+        else {}
+    )
     test_head_masking = False
     test_onnx = True
     onnx_min_opset = 10