def test_upsamplingNearest1d(self):
m = nn.Upsample(size=4, mode='nearest')
in_t = torch.ones(1, 1, 2)
out_t = m(Variable(in_t))
self.assertEqual(torch.ones(1, 1, 4), out_t.data)
input = Variable(torch.randn(1, 1, 2), requires_grad=True)
gradcheck(lambda x: F.upsample(x, 4, mode='nearest'), [input])
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