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authorAiling Zhang <ailzhang@fb.com>2019-03-19 20:02:29 -0700
committerFacebook Github Bot <facebook-github-bot@users.noreply.github.com>2019-03-19 20:09:17 -0700
commit8895bfba6aac8ca99c6d4483fa9b8b32c8a95c83 (patch)
tree1a2a2f2f4fc8c4c2a1e67ae7faaea21a92ce3802 /test/test_nn.py
parent3baf99bea7d66e03cacf6280de8e18cca9bfbdda (diff)
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fix cosine_similarity (#18168)
Summary: fixes #18057 according to colesbury 's suggestion. Thanks! cc: ezyang Pull Request resolved: https://github.com/pytorch/pytorch/pull/18168 Differential Revision: D14520953 Pulled By: ailzhang fbshipit-source-id: 970e6cfb482d857a81721ec1d0ee4a4df84a0450
Diffstat (limited to 'test/test_nn.py')
-rw-r--r--test/test_nn.py6
1 files changed, 6 insertions, 0 deletions
diff --git a/test/test_nn.py b/test/test_nn.py
index eafeddbe28..7965663883 100644
--- a/test/test_nn.py
+++ b/test/test_nn.py
@@ -5964,6 +5964,12 @@ class TestNN(NNTestCase):
input2 = torch.randn(input_size, requires_grad=True)
self.assertEqual(F.cosine_similarity(input1, input2, dim=1).size(), expected_size)
+ # Check numerical precision, issue #18057
+ vv1 = torch.tensor(list([float(i) for i in range(84)])).unsqueeze(0)
+ vv2 = torch.tensor(list([float(i) for i in range(84)])).unsqueeze(0)
+ out = F.cosine_similarity(vv1, vv2)
+ self.assertLessEqual(out, 1.0)
+
def test_grid_sample_error_checking(self):
input = torch.empty(1, 1, 2, 2)
grid = torch.empty(1, 1, 1, 2)