using multi_gpu consistently (#8446)

* s|multiple_gpu|multi_gpu|g; s|multigpu|multi_gpu|g'

* doc
This commit is contained in:
Stas Bekman
2020-11-10 10:23:58 -08:00
committed by GitHub
parent b93569457f
commit 02bdfc0251
22 changed files with 117 additions and 117 deletions

View File

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