def test_normalize(self):
inputs = Variable(torch.randn(1, 3, 4, 4), requires_grad=True)
self.assertTrue(gradcheck(lambda x: F.normalize(x, p=1, dim=-1), (inputs,)))
self.assertTrue(gradcheck(lambda x: F.normalize(x, p=2, dim=-2), (inputs,)))
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