Allow text generation for ProphetNetForCausalLM (#9707)
* Moved ProphetNetForCausalLM's parent initialization after config update * Added unit tests for generation for ProphetNetForCausalLM
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@@ -302,6 +302,24 @@ class ProphetNetModelTester:
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output_with_past_cache = model.generate(input_ids[:1], num_beams=2, max_length=5, do_sample=True)
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self.parent.assertTrue(torch.all(output_with_past_cache == output_without_past_cache))
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def create_and_check_decoder_generate_with_past_key_value_states(
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self,
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config,
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input_ids,
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decoder_input_ids,
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attention_mask,
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decoder_attention_mask,
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lm_labels,
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):
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model = ProphetNetForCausalLM(config=config).to(torch_device).eval()
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torch.manual_seed(0)
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output_without_past_cache = model.generate(
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input_ids[:1], num_beams=2, max_length=10, do_sample=True, use_cache=False
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)
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torch.manual_seed(0)
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output_with_past_cache = model.generate(input_ids[:1], num_beams=2, max_length=10, do_sample=True)
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self.parent.assertTrue(torch.all(output_with_past_cache == output_without_past_cache))
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def create_and_check_model_fp16_forward(
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self,
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config,
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@@ -911,6 +929,10 @@ class ProphetNetModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.Test
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config_and_inputs = self.model_tester.prepare_config_and_inputs()
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self.model_tester.create_and_check_generate_with_past_key_value_states(*config_and_inputs)
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def test_encoder_decoder_model_generate(self):
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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_generate_with_past_key_value_states(*config_and_inputs)
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def test_attn_mask_model(self):
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config_and_inputs = self.model_tester.prepare_config_and_inputs()
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self.model_tester.check_model_with_attn_mask(*config_and_inputs)
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