riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-07-31 02:02:21 +06:00
Code Issues Actions 23 Packages Projects Releases Wiki Activity

wrapped forward passes in torch.no_grad() (#15037)

Browse Source
This commit is contained in:
Matt Churgin 2022-01-06 08:48:49 -05:00 committed by GitHub
parent 5a06118b39
commit 5ab87cd4da
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 6 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
tests/test_modeling_roberta.py
View File

@ -485,7 +485,8 @@ class RobertaModelIntegrationTest(TestCasePlus):
model = RobertaForMaskedLM.from_pretrained("roberta-base")
input_ids = torch.tensor([[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]])
output = model(input_ids)[0]
with torch.no_grad():
output = model(input_ids)[0]
expected_shape = torch.Size((1, 11, 50265))
self.assertEqual(output.shape, expected_shape)
# compare the actual values for a slice.
@ -504,7 +505,8 @@ class RobertaModelIntegrationTest(TestCasePlus):
model = RobertaModel.from_pretrained("roberta-base")
input_ids = torch.tensor([[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]])
output = model(input_ids)[0]
with torch.no_grad():
output = model(input_ids)[0]
# compare the actual values for a slice.
expected_slice = torch.tensor(
[[[-0.0231, 0.0782, 0.0074], [-0.1854, 0.0540, -0.0175], [0.0548, 0.0799, 0.1687]]]
@ -521,7 +523,8 @@ class RobertaModelIntegrationTest(TestCasePlus):
model = RobertaForSequenceClassification.from_pretrained("roberta-large-mnli")
input_ids = torch.tensor([[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]])
output = model(input_ids)[0]
with torch.no_grad():
output = model(input_ids)[0]
expected_shape = torch.Size((1, 3))
self.assertEqual(output.shape, expected_shape)
expected_tensor = torch.tensor([[-0.9469, 0.3913, 0.5118]])