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Fix flaky tests for test_hinge_loss #12020

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Aug 4, 2018
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4 changes: 2 additions & 2 deletions tests/python/unittest/test_loss.py
Original file line number Diff line number Diff line change
Expand Up @@ -292,7 +292,7 @@ def test_huber_loss():
assert mod.score(data_iter, eval_metric=mx.metric.Loss())[0][1] < 0.05


@with_seed(1234)
@with_seed()
def test_hinge_loss():
N = 20
data = mx.random.uniform(-1, 1, shape=(N, 10))
Expand All @@ -307,7 +307,7 @@ def test_hinge_loss():
mod.fit(data_iter, num_epoch=200, optimizer_params={'learning_rate': 0.01},
initializer=mx.init.Xavier(magnitude=2), eval_metric=mx.metric.Loss(),
optimizer='adam')
assert mod.score(data_iter, eval_metric=mx.metric.Loss())[0][1] < 0.05
assert mod.score(data_iter, eval_metric=mx.metric.Loss())[0][1] < 0.06


@with_seed(1234)
Expand Down