Add training support for SigLIP (#31495)
* Add siglip loss function * Update docs * Enable training tests [experimental] enable GC training tests as it has worked for my own data * Remove test_training* overrides to enable training tests [run_slow] siglip * Skip training tests for Siglip text model and ImageClassificationModel [run_slow] siglip * Skip GC training tests for SiglipForImageClassification * Explicitly skip training tests for SiglipVisionModel Add skip reason for training tests for SiglipTextModel * Remove copied from to fix CI
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@@ -335,27 +335,19 @@ class SiglipTextModelTest(ModelTesterMixin, unittest.TestCase):
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config_and_inputs = self.model_tester.prepare_config_and_inputs()
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self.model_tester.create_and_check_model(*config_and_inputs)
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@unittest.skip
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# Copied from tests.models.clip.test_modeling_clip.CLIPTextModelTest.test_training
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@unittest.skip(reason="SiglipTextModel does not support standalone training")
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def test_training(self):
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pass
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@unittest.skip
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# Copied from tests.models.clip.test_modeling_clip.CLIPTextModelTest.test_training_gradient_checkpointing
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@unittest.skip(reason="SiglipTextModel does not support standalone training")
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def test_training_gradient_checkpointing(self):
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pass
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@unittest.skip(
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reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
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)
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# Copied from tests.models.clip.test_modeling_clip.CLIPTextModelTest.test_training_gradient_checkpointing_use_reentrant
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@unittest.skip(reason="SiglipTextModel does not support standalone training")
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def test_training_gradient_checkpointing_use_reentrant(self):
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pass
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@unittest.skip(
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reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
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)
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# Copied from tests.models.clip.test_modeling_clip.CLIPTextModelTest.test_training_gradient_checkpointing_use_reentrant_false
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@unittest.skip(reason="SiglipTextModel does not support standalone training")
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def test_training_gradient_checkpointing_use_reentrant_false(self):
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pass
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@@ -481,22 +473,6 @@ class SiglipModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
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def test_model_get_set_embeddings(self):
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pass
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@unittest.skip(reason="SiglipModel does not support training")
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def test_training(self):
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pass
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@unittest.skip(reason="SiglipModel does not support training")
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def test_training_gradient_checkpointing(self):
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pass
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@unittest.skip(reason="SiglipModel does not support training")
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def test_training_gradient_checkpointing_use_reentrant(self):
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pass
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@unittest.skip(reason="SiglipModel does not support training")
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def test_training_gradient_checkpointing_use_reentrant_false(self):
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pass
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@unittest.skip(reason="Siglip uses the same initialization scheme as the Flax original implementation")
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def test_initialization(self):
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pass
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