Can you share the model itself? A simple test around interpolate (using the nightly version of PyTorch) seems to indicate that it works
def test_interpolate(x):
    return nn.functional.interpolate(x, size=(224, 224), mode='bilinear', align_corners=False)

# this is successful
x = torch.jit.trace(test_interpolate, (torch.randn(1, 3, 224, 224)))
print(x.graph)

If the bug persists, you might have better luck using torch.jit.script around the area that calls interpolate.