using multi_gpu consistently (#8446)
* s|multiple_gpu|multi_gpu|g; s|multigpu|multi_gpu|g' * doc
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@@ -23,7 +23,7 @@ from typing import List, Tuple
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from transformers import is_torch_available
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from transformers.file_utils import WEIGHTS_NAME
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from transformers.testing_utils import require_torch, require_torch_multigpu, slow, torch_device
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from transformers.testing_utils import require_torch, require_torch_multi_gpu, slow, torch_device
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if is_torch_available():
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@@ -928,8 +928,8 @@ class ModelTesterMixin:
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with torch.no_grad():
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model(**inputs)[0]
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@require_torch_multigpu
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def test_multigpu_data_parallel_forward(self):
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@require_torch_multi_gpu
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def test_multi_gpu_data_parallel_forward(self):
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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# some params shouldn't be scattered by nn.DataParallel
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