def _from_np()

in dict_minimize/torch_api.py [0:0]

• 8 lines of code
• 1 McCabe index (conditional complexity)

def _from_np(X, dtype):
    assert X.dtype.kind == "f"

    dtype_ = X.dtype
    X = np.asarray(X)  # In case a scalar was given
    assert X.dtype == dtype_

    Xt = torch.from_numpy(X).type(dtype)
    # Do this weird way to avoid `UserWarning` from torch.
    Xt = Xt.clone().detach().requires_grad_(True)
    return Xt