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wrap forward passes with torch.no_grad() (#19279)

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Partho
2022-10-04 19:38:29 +05:30
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parent cd024da6f8
commit f134d38553
1 changed files with 2 additions and 1 deletions
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tests/models/deit/test_modeling_deit.py
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@@ -384,7 +384,8 @@ class DeiTModelIntegrationTest(unittest.TestCase):
inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device) inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)
# forward pass # forward pass
outputs = model(**inputs) with torch.no_grad():
outputs = model(**inputs)
# verify the logits # verify the logits
expected_shape = torch.Size((1, 1000)) expected_shape = torch.Size((1, 1000))