SUMIN/HuggingFace_transformer
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Sylvain Gugger
2021-03-08 16:04:46 -05:00
parent b35e7b68ca
commit a8ec52efc2
2 changed files with 2 additions and 2 deletions
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2
tests/test_trainer.py
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@@ -992,7 +992,7 @@ class TrainerIntegrationTest(unittest.TestCase):
# should be about half of fp16_init # should be about half of fp16_init
# perfect world: fp32_init/2 == fp16_eval # perfect world: fp32_init/2 == fp16_eval
self.assertAlmostEqual(fp16_eval, fp32_init / 2, delta=5_000) self.assertAlmostEqual(fp16_eval, fp32_init / 2, delta=5_000)
def test_no_wd_param_group(self): def test_no_wd_param_group(self):
model = torch.nn.Sequential(TstLayer(128), torch.nn.ModuleList([TstLayer(128), TstLayer(128)])) model = torch.nn.Sequential(TstLayer(128), torch.nn.ModuleList([TstLayer(128), TstLayer(128)]))
trainer = Trainer(model=model) trainer = Trainer(model=model)

2
tests/test_trainer_utils.py
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@@ -30,7 +30,7 @@ if is_torch_available():
DistributedTensorGatherer, DistributedTensorGatherer,
LabelSmoother, LabelSmoother,
LengthGroupedSampler, LengthGroupedSampler,
get_parameter_names get_parameter_names,
) )
class TstLayer(torch.nn.Module): class TstLayer(torch.nn.Module):