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Add 'with torch.no_grad()' to BEiT integration test forward passes #14961

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merged 2 commits into from
Jan 31, 2022
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Add 'with torch.no_grad()' to BEiT integration test forward passes #14961

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e41e935
Add 'with torch.no_grad()' to BEiT integration test forward pass
itsTurner Dec 28, 2021
06be92d
Fix inconsistent use of tabs and spaces in indentation
itsTurner Dec 28, 2021
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Add 'with torch.no_grad()' to BEiT integration test forward pass
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@itsTurner
itsTurner committed Dec 28, 2021
commit e41e93526f80ffaa3e79197b57af1900815b20ac
12 changes: 8 additions & 4 deletions tests/test_modeling_beit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -435,7 +435,8 @@ def test_inference_masked_image_modeling_head(self):
bool_masked_pos = torch.ones((1, 196), dtype=torch.bool).to(torch_device)

# forward pass
outputs = model(pixel_values=pixel_values, bool_masked_pos=bool_masked_pos)
with torch.no_grad():
outputs = model(pixel_values=pixel_values, bool_masked_pos=bool_masked_pos)
logits = outputs.logits

# verify the logits
Expand All @@ -457,7 +458,8 @@ def test_inference_image_classification_head_imagenet_1k(self):
inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)

# forward pass
outputs = model(**inputs)
with torch.no_grad():
outputs = model(**inputs)
logits = outputs.logits

# verify the logits
Expand All @@ -482,7 +484,8 @@ def test_inference_image_classification_head_imagenet_22k(self):
inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)

# forward pass
outputs = model(**inputs)
with torch.no_grad():
outputs = model(**inputs)
logits = outputs.logits

# verify the logits
Expand All @@ -508,7 +511,8 @@ def test_inference_semantic_segmentation(self):
inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)

# forward pass
outputs = model(**inputs)
with torch.no_grad():
outputs = model(**inputs)
logits = outputs.logits

# verify the logits
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