def test_hinge_loss_pytorch(self):
"""Test HingeLoss."""
loss = losses.HingeLoss()
outputs = torch.tensor([[0.1, 0.8], [0.4, 0.6]])
labels = torch.tensor([[1.0, -1.0], [-1.0, 1.0]])
result = loss._create_pytorch_loss()(outputs, labels).numpy()
expected = [np.mean([0.9, 1.8]), np.mean([1.4, 0.4])]
assert np.allclose(expected, result)
def test_hinge_loss_tf(self):
"""Test HingeLoss."""
loss = losses.HingeLoss()
outputs = tf.constant([[0.1, 0.8], [0.4, 0.6]])
labels = tf.constant([[1.0, -1.0], [-1.0, 1.0]])
result = loss._compute_tf_loss(outputs, labels).numpy()
expected = [np.mean([0.9, 1.8]), np.mean([1.4, 0.4])]
assert np.allclose(expected, result)
