TF: standardize test_model_common_attributes for language models (#23457)

This commit is contained in:
Joao Gante
2023-06-13 17:51:37 +01:00
committed by GitHub
parent 4ed075280c
commit 7bb6933b9d
21 changed files with 30 additions and 365 deletions

View File

@@ -247,24 +247,6 @@ class TFOpenAIGPTModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.Tes
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_openai_gpt_double_head(*config_and_inputs)
def test_model_common_attributes(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
for model_class in self.all_model_classes:
model = model_class(config)
assert isinstance(model.get_input_embeddings(), tf.keras.layers.Layer)
if model_class in self.all_generative_model_classes:
x = model.get_output_embeddings()
assert isinstance(x, tf.keras.layers.Layer)
name = model.get_bias()
assert name is None
else:
x = model.get_output_embeddings()
assert x is None
name = model.get_bias()
assert name is None
def test_openai_gpt_sequence_classification_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_openai_gpt_for_sequence_classification(*config_and_inputs)