d041ccdc8112fa0d62ee9ad4ab4cecf0fd8e2cf3,torchdiffeq/_impl/interp.py,,_interp_evaluate,#Any#Any#Any#Any#,38

Before Change

    t0 = _convert_to_tensor(t0, dtype=dtype, device=device)
    t1 = _convert_to_tensor(t1, dtype=dtype, device=device)
    t = _convert_to_tensor(t, dtype=dtype, device=device)

    assert (t0 <= t) & (t <= t1), "invalid interpolation, fails `t0 <= t <= t1`: {}, {}, {}".format(t0, t, t1)
    x = ((t - t0) / (t1 - t0)).type(dtype).to(device)

After Change

    assert (t0 <= t) & (t <= t1), "invalid interpolation, fails `t0 <= t <= t1`: {}, {}, {}".format(t0, t, t1)
    x = (t - t0) / (t1 - t0)

    xs = [torch.ones((), dtype=dtype, device=device), x]
    for _ in range(2, len(coefficients)):
        xs.append(xs[-1] * x)

Instances