code: def tensorinv(a, ind=2):
      check_arraylike("jnp.linalg.tensorinv", a)
      a = jnp.asarray(a)
      oldshape = a.shape
      prod = 1
      if ind > 0:
          invshape = oldshape[ind:] + oldshape[:ind]
          for k in oldshape[ind:]:
              prod *= k
      else:
          raise ValueError("Invalid ind argument.")
      a = a.reshape(prod, -1)
      ia = la.inv(a)
      return ia.reshape(*invshape)
  
file_path: jax/jax/_src/third_party/numpy/linalg.py
imports: import numpy
  import jax.numpy
  import jax.numpy.linalg
  from jax._src.numpy.util import check_arraylike, _wraps
label_desc: Use image node_id 7 for calling a global function with example usage: tensorinv(a, ind) and returns: ia