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TF: standardize test_model_common_attributes for language models (#23457)

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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
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21
tests/models/bert/test_modeling_tf_bert.py
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@@ -726,27 +726,6 @@ class TFBertModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, PipelineTester
model = TFBertModel.from_pretrained("jplu/tiny-tf-bert-random")
self.assertIsNotNone(model)
def test_model_common_attributes(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
list_lm_models = [TFBertForMaskedLM, TFBertForPreTraining, TFBertLMHeadModel]
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 list_lm_models:
x = model.get_output_embeddings()
assert isinstance(x, tf.keras.layers.Layer)
name = model.get_bias()
assert isinstance(name, dict)
for k, v in name.items():
assert isinstance(v, tf.Variable)
else:
x = model.get_output_embeddings()
assert x is None
name = model.get_bias()
assert name is None
def test_custom_load_tf_weights(self):
model, output_loading_info = TFBertForTokenClassification.from_pretrained(
"jplu/tiny-tf-bert-random", output_loading_info=True