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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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20
tests/models/led/test_modeling_tf_led.py
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@@ -222,26 +222,6 @@ class TFLEDModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
config_and_inputs = self.model_tester.prepare_config_and_inputs_for_common()
self.model_tester.check_decoder_model_past_large_inputs(*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 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_attention_outputs(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
inputs_dict["global_attention_mask"] = tf.zeros_like(inputs_dict["attention_mask"])