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Change assert_equal to assert_almost_equal #1676

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Change assert_equal to assert_almost_equal #1676

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6 changes: 3 additions & 3 deletions test/classification/test_loss.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,15 +19,15 @@ def test_sce_equals_ce(self):

ce_loss = F.cross_entropy(Y_probs, Y_golds, reduction="none")
ces_loss = cross_entropy_with_probs(Y_probs, Y_golds_probs, reduction="none")
np.testing.assert_equal(ce_loss.numpy(), ces_loss.numpy())
np.testing.assert_almost_equal(ce_loss.numpy(), ces_loss.numpy(), decimal=6)

ce_loss = F.cross_entropy(Y_probs, Y_golds, reduction="sum")
ces_loss = cross_entropy_with_probs(Y_probs, Y_golds_probs, reduction="sum")
np.testing.assert_equal(ce_loss.numpy(), ces_loss.numpy())
np.testing.assert_almost_equal(ce_loss.numpy(), ces_loss.numpy(), decimal=6)

ce_loss = F.cross_entropy(Y_probs, Y_golds, reduction="mean")
ces_loss = cross_entropy_with_probs(Y_probs, Y_golds_probs, reduction="mean")
np.testing.assert_equal(ce_loss.numpy(), ces_loss.numpy())
np.testing.assert_almost_equal(ce_loss.numpy(), ces_loss.numpy(), decimal=6)

def test_perfect_predictions(self):
# Does soft ce loss achieve approx. 0 loss with perfect predictions?
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