Remove ConversationalPipeline and Conversation object (#31165)

* Remove ConversationalPipeline and Conversation object, as they have been deprecated for some time and are due for removal

* Update not-doctested.txt

* Fix JA and ZH docs

* Fix JA and ZH docs some more

* Fix JA and ZH docs some more

tests/models/t5/test_modeling_tf_t5.py

@@ -248,7 +248,6 @@ class TFT5ModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_generative_model_classes = (TFT5ForConditionalGeneration,) if is_tf_available() else ()
     pipeline_model_mapping = (
         {
-            "conversational": TFT5ForConditionalGeneration,
             "feature-extraction": TFT5Model,
             "summarization": TFT5ForConditionalGeneration,
             "text2text-generation": TFT5ForConditionalGeneration,
@@ -314,10 +313,6 @@ class TFT5ModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     def test_keras_save_load(self):
         pass
 
-    @unittest.skip("Does not support conversations.")
-    def test_pipeline_conversational(self):
-        pass
-
 
 class TFT5EncoderOnlyModelTester:
     def __init__(
@@ -611,10 +606,6 @@ class TFT5GenerationIntegrationTests(unittest.TestCase):
         expected_output_string = ["Ich liebe es so sehr!", "die Transformatoren sind wirklich erstaunlich"]
         self.assertListEqual(expected_output_string, output_strings)
 
-    @unittest.skip("Does not support conversations.")
-    def test_pipeline_conversational(self):
-        pass
-
 
 @require_tf
 @require_sentencepiece

tests/models/umt5/test_modeling_umt5.py

@@ -297,7 +297,6 @@ class UMT5ModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
     all_generative_model_classes = (UMT5ForConditionalGeneration,) if is_torch_available() else ()
     pipeline_model_mapping = (
         {
-            "conversational": UMT5ForConditionalGeneration,
             "feature-extraction": UMT5Model,
             "question-answering": UMT5ForQuestionAnswering,
             "summarization": UMT5ForConditionalGeneration,

tests/test_pipeline_mixin.py

@@ -33,7 +33,6 @@ from transformers.utils import direct_transformers_import, logging
 
 from .pipelines.test_pipelines_audio_classification import AudioClassificationPipelineTests
 from .pipelines.test_pipelines_automatic_speech_recognition import AutomaticSpeechRecognitionPipelineTests
-from .pipelines.test_pipelines_conversational import ConversationalPipelineTests
 from .pipelines.test_pipelines_depth_estimation import DepthEstimationPipelineTests
 from .pipelines.test_pipelines_document_question_answering import DocumentQuestionAnsweringPipelineTests
 from .pipelines.test_pipelines_feature_extraction import FeatureExtractionPipelineTests
@@ -65,7 +64,6 @@ from .pipelines.test_pipelines_zero_shot_object_detection import ZeroShotObjectD
 pipeline_test_mapping = {
     "audio-classification": {"test": AudioClassificationPipelineTests},
     "automatic-speech-recognition": {"test": AutomaticSpeechRecognitionPipelineTests},
-    "conversational": {"test": ConversationalPipelineTests},
     "depth-estimation": {"test": DepthEstimationPipelineTests},
     "document-question-answering": {"test": DocumentQuestionAnsweringPipelineTests},
     "feature-extraction": {"test": FeatureExtractionPipelineTests},
@@ -314,12 +312,8 @@ class PipelineTesterMixin:
                     yield copy.deepcopy(random.choice(examples))
 
             out = []
-            if task == "conversational":
-                for item in pipeline(data(10), batch_size=4, max_new_tokens=5):
-                    out.append(item)
-            else:
-                for item in pipeline(data(10), batch_size=4):
-                    out.append(item)
+            for item in pipeline(data(10), batch_size=4):
+                out.append(item)
             self.assertEqual(len(out), 10)
 
         run_batch_test(pipeline, examples)
@@ -332,10 +326,6 @@ class PipelineTesterMixin:
     def test_pipeline_automatic_speech_recognition(self):
         self.run_task_tests(task="automatic-speech-recognition")
 
-    @is_pipeline_test
-    def test_pipeline_conversational(self):
-        self.run_task_tests(task="conversational")
-
     @is_pipeline_test
     @require_vision
     @require_timm

utils/check_docstrings.py

@@ -128,7 +128,6 @@ OBJECTS_TO_IGNORE = [
     "ConvBertTokenizerFast",
     "ConvNextConfig",
     "ConvNextV2Config",
-    "ConversationalPipeline",
     "CpmAntTokenizer",
     "CvtConfig",
     "CvtModel",

utils/not_doctested.txt

@@ -918,7 +918,6 @@ src/transformers/pipelines/audio_classification.py
 src/transformers/pipelines/audio_utils.py
 src/transformers/pipelines/automatic_speech_recognition.py
 src/transformers/pipelines/base.py
-src/transformers/pipelines/conversational.py
 src/transformers/pipelines/depth_estimation.py
 src/transformers/pipelines/document_question_answering.py
 src/transformers/pipelines/feature_extraction.py