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
This commit is contained in:
Matt
2024-06-07 17:50:18 +01:00
committed by GitHub
parent 3a10058201
commit 065729a692
46 changed files with 30 additions and 914 deletions

View File

@@ -228,7 +228,6 @@ class BlenderbotSmallModelTest(ModelTesterMixin, GenerationTesterMixin, Pipeline
all_generative_model_classes = (BlenderbotSmallForConditionalGeneration,) if is_torch_available() else ()
pipeline_model_mapping = (
{
"conversational": BlenderbotSmallForConditionalGeneration,
"feature-extraction": BlenderbotSmallModel,
"summarization": BlenderbotSmallForConditionalGeneration,
"text-generation": BlenderbotSmallForCausalLM,
@@ -247,7 +246,7 @@ class BlenderbotSmallModelTest(ModelTesterMixin, GenerationTesterMixin, Pipeline
def is_pipeline_test_to_skip(
self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
):
return pipeline_test_casse_name in ("TextGenerationPipelineTests", "ConversationalPipelineTests")
return pipeline_test_casse_name == "TextGenerationPipelineTests"
def setUp(self):
self.model_tester = BlenderbotSmallModelTester(self)

View File

@@ -323,7 +323,7 @@ class FlaxBlenderbotSmallModelTest(FlaxModelTesterMixin, unittest.TestCase, Flax
def is_pipeline_test_to_skip(
self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
):
return pipeline_test_casse_name in ("TextGenerationPipelineTests", "ConversationalPipelineTests")
return pipeline_test_casse_name == "TextGenerationPipelineTests"
def setUp(self):
self.model_tester = FlaxBlenderbotSmallModelTester(self)

View File

@@ -185,7 +185,6 @@ class TFBlenderbotSmallModelTest(TFModelTesterMixin, PipelineTesterMixin, unitte
all_generative_model_classes = (TFBlenderbotSmallForConditionalGeneration,) if is_tf_available() else ()
pipeline_model_mapping = (
{
"conversational": TFBlenderbotSmallForConditionalGeneration,
"feature-extraction": TFBlenderbotSmallModel,
"summarization": TFBlenderbotSmallForConditionalGeneration,
"text2text-generation": TFBlenderbotSmallForConditionalGeneration,
@@ -201,7 +200,7 @@ class TFBlenderbotSmallModelTest(TFModelTesterMixin, PipelineTesterMixin, unitte
def is_pipeline_test_to_skip(
self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
):
return pipeline_test_casse_name in ("TextGenerationPipelineTests", "ConversationalPipelineTests")
return pipeline_test_casse_name == "TextGenerationPipelineTests"
def setUp(self):
self.model_tester = TFBlenderbotSmallModelTester(self)