nswamy closed pull request #11971: [MXNET-751] fix ce_loss flaky
URL: https://github.com/apache/incubator-mxnet/pull/11971
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diff --git a/tests/python/unittest/test_loss.py
b/tests/python/unittest/test_loss.py
index 8d5b86341a8..3c147bc4c72 100644
--- a/tests/python/unittest/test_loss.py
+++ b/tests/python/unittest/test_loss.py
@@ -64,7 +64,8 @@ def get_net(num_hidden, flatten=True):
fc3 = mx.symbol.FullyConnected(act2, name='fc3', num_hidden=num_hidden,
flatten=flatten)
return fc3
-@with_seed(1234)
+# tracked at: https://github.com/apache/incubator-mxnet/issues/11692
+@with_seed()
def test_ce_loss():
nclass = 10
N = 20
@@ -78,7 +79,8 @@ def test_ce_loss():
loss = mx.sym.make_loss(loss)
mod = mx.mod.Module(loss, data_names=('data',), label_names=('label',))
mod.fit(data_iter, num_epoch=200, optimizer_params={'learning_rate': 0.01},
- eval_metric=mx.metric.Loss(), optimizer='adam')
+ eval_metric=mx.metric.Loss(), optimizer='adam',
+ initializer=mx.init.Xavier(magnitude=2))
assert mod.score(data_iter, eval_metric=mx.metric.Loss())[0][1] < 0.05
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