avoid calling gc.collect and cuda.empty_cache (#34514)
* update * update * update * update * update --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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@@ -23,6 +23,7 @@ from packaging import version
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from transformers import AutoTokenizer, MistralConfig, is_torch_available, set_seed
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from transformers.testing_utils import (
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backend_empty_cache,
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cleanup,
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require_bitsandbytes,
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require_flash_attn,
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require_read_token,
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@@ -436,8 +437,7 @@ class MistralIntegrationTest(unittest.TestCase):
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cls.cuda_compute_capability_major_version = torch.cuda.get_device_capability()[0]
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def tearDown(self):
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torch.cuda.empty_cache()
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gc.collect()
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cleanup(torch_device, gc_collect=True)
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@slow
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def test_model_7b_logits(self):
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@@ -656,8 +656,7 @@ class Mask4DTestHard(unittest.TestCase):
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_model = None
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def tearDown(self):
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gc.collect()
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backend_empty_cache(torch_device)
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cleanup(torch_device, gc_collect=True)
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@property
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def model(self):
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