Fix typo in torchvision_models.py (#53968)

eltociear · facebook-github-bot · commit 7e39a4030051 · 2021-03-15T11:02:06.000-07:00
Summary: accross -> across Pull Request resolved: #53968 Reviewed By: jbschlosser Differential Revision: D27035761 Pulled By: ngimel fbshipit-source-id: 94fac6f2e27648e70652fd29f7800e60b211acd5
diff --git a/benchmarks/functional_autograd_benchmark/torchvision_models.py b/benchmarks/functional_autograd_benchmark/torchvision_models.py
@@ -702,7 +702,7 @@ def forward(self, outputs, targets):
         # Retrieve the matching between the outputs of the last layer and the targets
         indices = self.matcher(outputs_without_aux, targets)
 
-        # Compute the average number of target boxes accross all nodes, for normalization purposes
+        # Compute the average number of target boxes across all nodes, for normalization purposes
         num_boxes = sum(len(t["labels"]) for t in targets)
         num_boxes = torch.as_tensor([num_boxes], dtype=torch.float, device=next(iter(outputs.values())).device)
         if is_dist_avail_and_initialized():
