SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

wrap forward passes with torch.no_grad() (#19414)

Browse Source
This commit is contained in:
Partho
2022-10-11 00:33:24 +05:30
committed by GitHub
parent d739a707d9
commit c6a928cadb
1 changed files with 2 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
tests/models/imagegpt/test_modeling_imagegpt.py
View File

@@ -538,7 +538,8 @@ class ImageGPTModelIntegrationTest(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, 1024, 512)) expected_shape = torch.Size((1, 1024, 512))