Fix embeddings resizing in TF models (#8657)
* Resize the biases in same time than the embeddings * Trigger CI * Biases are not reset anymore * Remove get_output_embeddings + better LM model detection in generation utils * Apply style * First test on BERT * Update docstring + new name * Apply the new resizing logic to all the models * fix tests * Apply style * Update the template * Fix naming * Fix naming * Apply style * Apply style * Remove unused import * Revert get_output_embeddings * Trigger CI * Update num parameters * Restore get_output_embeddings in TFPretrainedModel and add comments * Style * Add decoder resizing * Style * Fix tests * Separate bias and decoder resize * Fix tests * Fix tests * Apply style * Add bias resizing in MPNet * Trigger CI * Apply style
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@@ -202,6 +202,17 @@ class TFOpenAIGPTModelTest(TFModelTesterMixin, unittest.TestCase):
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config_and_inputs = self.model_tester.prepare_config_and_inputs()
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self.model_tester.create_and_check_openai_gpt_double_head(*config_and_inputs)
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def test_model_common_attributes(self):
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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for model_class in self.all_model_classes:
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model = model_class(config)
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assert isinstance(model.get_input_embeddings(), tf.keras.layers.Layer)
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x = model.get_output_layer_with_bias()
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assert x is None
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name = model.get_prefix_bias_name()
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assert name is None
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@slow
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def test_model_from_pretrained(self):
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for model_name in TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
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