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authorAlexandr Morev <hikjik@yandex.ru>2019-03-20 11:12:55 -0700
committerFacebook Github Bot <facebook-github-bot@users.noreply.github.com>2019-03-20 11:16:36 -0700
commitabc171bd53ee00caa3ab638b770316583a0c6c5f (patch)
tree2f060ac7f5ab8e0e2ac0a76ecd1e7be60208768e /torch/onnx
parenta519217ee72bdef12b5d133b7e941d92d6ccd3cf (diff)
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Fix typo in docstring
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18216 Differential Revision: D14539824 Pulled By: ezyang fbshipit-source-id: 490b72951a75f3f8b949a2d692d660a3693ee98a
Diffstat (limited to 'torch/onnx')
-rw-r--r--torch/onnx/symbolic.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/torch/onnx/symbolic.py b/torch/onnx/symbolic.py
index b4ed832e34..46150c3d0c 100644
--- a/torch/onnx/symbolic.py
+++ b/torch/onnx/symbolic.py
@@ -1606,7 +1606,7 @@ def _pack_padded_sequence(g, input, lengths, batch_first):
if not lengths.type().isSubtypeOf(torch._C.TensorType.get()):
raise RuntimeError("Lengths must be a Tensor for ONNX export")
# We know it's a TensorType so this check is now safe.
- # It's really only necessary beacuse those operators expand to something that
+ # It's really only necessary because those operators expand to something that
# only works with int32 types in Caffe2...
if lengths.type().scalarType() != 'Int':
lengths = _cast_Int(g, lengths, False)