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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@@ -347,6 +347,13 @@ class FastSpeech2ConformerModelTest(ModelTesterMixin, unittest.TestCase):
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def test_model_common_attributes(self):
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pass
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@unittest.skip(
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"FastSpeech2Conformer predicts durations in linear domain during inference"
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"Even small differences on hidden states lead to different durations, due to `torch.round`"
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)
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def test_batching_equivalence(self):
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pass
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@require_torch
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@require_g2p_en
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@@ -762,6 +769,13 @@ class FastSpeech2ConformerWithHifiGanTest(ModelTesterMixin, unittest.TestCase):
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def test_model_common_attributes(self):
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pass
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@unittest.skip(
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"FastSpeech2Conformer predicts durations in linear domain during inference"
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"Even small differences on hidden states lead to different durations, due to `torch.round`"
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)
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def test_batching_equivalence(self):
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pass
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@require_torch
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@require_g2p_en
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