>>> import pennylane.numpy as np
>>> arr = np.array([1,2,3])
>>> qml.math.dot(arr, 2)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/astral.cai/Workspace/pennylane/pennylane/math/multi_dispatch.py", line 151, in wrapper
    return fn(*args, **kwargs)
  File "/Users/astral.cai/Workspace/pennylane/pennylane/math/multi_dispatch.py", line 365, in dot
    return np.tensordot(x, y, axes=[[-1], [-2]], like=like)
  File "/Users/astral.cai/Workspace/pennylane/venv/lib/python3.9/site-packages/autoray/autoray.py", line 80, in do
    return get_lib_fn(backend, fn)(*args, **kwargs)
  File "/Users/astral.cai/Workspace/pennylane/pennylane/numpy/wrapper.py", line 117, in _wrapped
    res = obj(*args, **kwargs)
  File "/Users/astral.cai/Workspace/pennylane/venv/lib/python3.9/site-packages/autograd/tracer.py", line 48, in f_wrapped
    return f_raw(*args, **kwargs)
  File "/Users/astral.cai/Workspace/pennylane/venv/lib/python3.9/site-packages/numpy/core/numeric.py", line 1091, in tensordot
    if as_[axes_a[k]] != bs[axes_b[k]]:
IndexError: tuple index out of range