Refactoring the generate() function (#6949)
* first draft * show design proposition for new generate method * up * make better readable * make first version * gpt2 tests pass * make beam search for gpt2 work * add first encoder-decoder code * delete typo * make t5 work * save indermediate * make bart work with beam search * finish beam search bart / t5 * add default kwargs * make more tests pass * fix no bad words sampler * some fixes and tests for all distribution processors * fix test * fix rag slow tests * merge to master * add nograd to generate * make all slow tests pass * speed up generate * fix edge case bug * small fix * correct typo * add type hints and docstrings * fix typos in tests * add beam search tests * add tests for beam scorer * fix test rag * finish beam search tests * move generation tests in seperate file * fix generation tests * more tests * add aggressive generation tests * fix tests * add gpt2 sample test * add more docstring * add more docs * finish doc strings * apply some more of sylvains and sams comments * fix some typos * make fix copies * apply lysandres and sylvains comments * final corrections on examples * small fix for reformer
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@@ -22,6 +22,7 @@ from transformers import is_torch_available
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from transformers.testing_utils import require_torch, slow, torch_device
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from .test_configuration_common import ConfigTester
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from .test_generation_utils import GenerationTesterMixin
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from .test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
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@@ -853,7 +854,7 @@ class ProphetNetStandaloneEncoderModelTester:
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@require_torch
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class ProphetNetModelTest(ModelTesterMixin, unittest.TestCase):
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class ProphetNetModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
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all_model_classes = (ProphetNetModel, ProphetNetForConditionalGeneration) if is_torch_available() else ()
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all_generative_model_classes = (ProphetNetForConditionalGeneration,) if is_torch_available() else ()
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test_pruning = False
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@@ -917,7 +918,7 @@ class ProphetNetModelTest(ModelTesterMixin, unittest.TestCase):
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@require_torch
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class ProphetNetStandaloneDecoderModelTest(ModelTesterMixin, unittest.TestCase):
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class ProphetNetStandaloneDecoderModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
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all_model_classes = (ProphetNetDecoder, ProphetNetForCausalLM) if is_torch_available() else ()
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all_generative_model_classes = (ProphetNetForCausalLM,) if is_torch_available() else ()
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test_pruning = False
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