roywei commented on a change in pull request #12750: [MXNET -1030] Cosine
Embedding Loss
URL: https://github.com/apache/incubator-mxnet/pull/12750#discussion_r224232796
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File path: tests/python/unittest/test_loss.py
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@@ -348,7 +348,35 @@ def test_triplet_loss():
optimizer='adam')
assert mod.score(data_iter, eval_metric=mx.metric.Loss())[0][1] < 0.05
-
+@with_seed()
+def test_cosine_loss():
+ #For similarity check
+ label = mx.nd.array([1])
+ pred = mx.nd.array([[1, 1, 1, 1],
Review comment:
Please also rename params in test to input1, input2, label to avoid confusion
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