🚨 Don't use cache in non-generative models (#38751)
* deprecate for 1 version * style * fix some tests * fix esm * skip for now, GC requires positional args but we have keyword args * remove transpose for scores in modified models only * skip fx trace tests
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@@ -297,7 +297,7 @@ class AltCLIPTextModelTester:
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@require_torch
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class AltCLIPTextModelTest(ModelTesterMixin, unittest.TestCase):
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all_model_classes = (AltCLIPTextModel,) if is_torch_available() else ()
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fx_compatible = True
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fx_compatible = False # Cannot support if `can_return_tuple`
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test_pruning = False
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test_head_masking = False
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@@ -411,7 +411,7 @@ def prepare_img():
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class AltCLIPModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
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all_model_classes = (AltCLIPModel,) if is_torch_available() else ()
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pipeline_model_mapping = {"feature-extraction": AltCLIPModel} if is_torch_available() else {}
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fx_compatible = True
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fx_compatible = False # Cannot support if `can_return_tuple`
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test_head_masking = False
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test_pruning = False
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test_resize_embeddings = False
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@@ -243,7 +243,7 @@ class LayoutLMModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
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if is_torch_available()
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else {}
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)
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fx_compatible = True
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fx_compatible = False # Cannot support if `can_return_tuple`
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def setUp(self):
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self.model_tester = LayoutLMModelTester(self)
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@@ -372,6 +372,18 @@ class SplinterModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
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with torch.no_grad():
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_ = model(**self._prepare_for_class(inputs_dict, model_class))
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@unittest.skip(
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"Splinter GC with `use_reentrant` fails after #38751, FIXME raushan after deprecated args are removed"
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)
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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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"Splinter GC with `use_reentrant` fails after #38751, FIXME raushan after deprecated args are removed"
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)
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def test_training_gradient_checkpointing_use_reentrant(self):
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pass
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@require_torch
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class SplinterModelIntegrationTest(unittest.TestCase):
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