🔥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/opt/test_modeling_opt.py

@@ -27,6 +27,7 @@ from transformers.testing_utils import require_torch, require_torch_gpu, slow, t
 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():
@@ -183,13 +184,24 @@ class OPTModelTester:
 
 
 @require_torch
-class OPTModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
+class OPTModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (
         (OPTModel, OPTForCausalLM, OPTForSequenceClassification, OPTForQuestionAnswering)
         if is_torch_available()
         else ()
     )
     all_generative_model_classes = (OPTForCausalLM,) if is_torch_available() else ()
+    pipeline_model_mapping = (
+        {
+            "feature-extraction": OPTModel,
+            "question-answering": OPTForQuestionAnswering,
+            "text-classification": OPTForSequenceClassification,
+            "text-generation": OPTForCausalLM,
+            "zero-shot": OPTForSequenceClassification,
+        }
+        if is_torch_available()
+        else {}
+    )
     is_encoder_decoder = False
     fx_compatible = True
     test_pruning = False

tests/models/opt/test_modeling_tf_opt.py

@@ -22,6 +22,7 @@ from transformers.testing_utils import require_sentencepiece, require_tf, slow,
 
 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():
@@ -146,9 +147,12 @@ class TFOPTModelTester:
 
 
 @require_tf
-class TFOPTModelTest(TFModelTesterMixin, unittest.TestCase):
+class TFOPTModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (TFOPTModel, TFOPTForCausalLM) if is_tf_available() else ()
     all_generative_model_classes = (TFOPTForCausalLM,) if is_tf_available() else ()
+    pipeline_model_mapping = (
+        {"feature-extraction": TFOPTModel, "text-generation": TFOPTForCausalLM} if is_tf_available() else {}
+    )
     is_encoder_decoder = False
     test_pruning = False
     test_onnx = False