Add tests for batching support (#29297)
* add tests for batching support * Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/test_modeling_common.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/test_modeling_common.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/test_modeling_common.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * fixes and comments * use cosine distance for conv models * skip mra model testing * Update tests/models/vilt/test_modeling_vilt.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * finzalize and make style * check model type by input names * Update tests/models/vilt/test_modeling_vilt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fixed batch size for all testers * Revert "fixed batch size for all testers" This reverts commit 525f3a0a058f069fbda00352cf202b728d40df99. * add batch_size for all testers * dict from model output * do not skip layoutlm * bring back some code from git revert * Update tests/test_modeling_common.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/test_modeling_common.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * clean-up * where did minus go in tolerance * make whisper happy * deal with consequences of losing minus * deal with consequences of losing minus * maskformer needs its own test for happiness * fix more models * tag flaky CV models from Amy's approval * make codestyle --------- Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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@@ -381,6 +381,7 @@ class OwlViTModelTester:
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self.is_training = is_training
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self.text_config = self.text_model_tester.get_config().to_dict()
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self.vision_config = self.vision_model_tester.get_config().to_dict()
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self.batch_size = self.text_model_tester.batch_size # need bs for batching_equivalence test
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def prepare_config_and_inputs(self):
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text_config, input_ids, attention_mask = self.text_model_tester.prepare_config_and_inputs()
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@@ -585,6 +586,7 @@ class OwlViTForObjectDetectionTester:
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self.is_training = is_training
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self.text_config = self.text_model_tester.get_config().to_dict()
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self.vision_config = self.vision_model_tester.get_config().to_dict()
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self.batch_size = self.text_model_tester.batch_size # need bs for batching_equivalence test
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def prepare_config_and_inputs(self):
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text_config, input_ids, attention_mask = self.text_model_tester.prepare_config_and_inputs()
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