Return correct Bart hidden state tensors (#8747)
* bart output hidden states upstream * same w/ decoder * add tests * fix prophetnet * fix gpt2 and ctrl * fix fstm and skip test for reformer and longformer * fix all models Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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@@ -1011,6 +1011,32 @@ class ProphetNetModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.Test
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[self.model_tester.num_attention_heads, encoder_seq_length, encoder_key_length],
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)
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def test_retain_grad_hidden_states_attentions(self):
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# decoder cannot keep gradients
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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config.output_hidden_states = True
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config.output_attentions = True
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# no need to test all models as different heads yield the same functionality
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model_class = self.all_model_classes[0]
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model = model_class(config)
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model.to(torch_device)
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inputs = self._prepare_for_class(inputs_dict, model_class)
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outputs = model(**inputs)
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output = outputs[0]
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encoder_hidden_states = outputs.encoder_hidden_states[0]
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encoder_attentions = outputs.encoder_attentions[0]
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encoder_hidden_states.retain_grad()
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encoder_attentions.retain_grad()
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output.flatten()[0].backward(retain_graph=True)
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self.assertIsNotNone(encoder_hidden_states.grad)
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self.assertIsNotNone(encoder_attentions.grad)
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@require_torch
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class ProphetNetStandaloneDecoderModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
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@@ -1037,6 +1063,10 @@ class ProphetNetStandaloneDecoderModelTest(ModelTesterMixin, GenerationTesterMix
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config_and_inputs = self.model_tester.prepare_config_and_inputs()
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self.model_tester.create_and_check_decoder_model_attention_mask_past(*config_and_inputs)
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def test_retain_grad_hidden_states_attentions(self):
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# decoder cannot keep gradients
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return
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@require_torch
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class ProphetNetStandaloneEncoderModelTest(ModelTesterMixin, unittest.TestCase):
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