class_docstr: Tensorflow printer which handles vectorized piecewise functions,
  logical operators, max/min, and relational operators.
class_docstr_tok: ["Tensorflow","printer","which","handles","vectorized","piecewise","functions",",","logical","operators",",","max\/min",",","and","relational","operators","."]
code: def _print_Inverse(self, expr):
      op = self._module_format("tensorflow.linalg.inv")
      return "{}({})".format(op, self._print(expr.arg))
  
imports: from sympy.external.importtools import version_tuple
  from collections.abc import Iterable
  from sympy.core.mul import Mul
  from sympy.core.singleton import S
  from sympy.codegen.cfunctions import Sqrt
  from sympy.external import import_module
  from sympy.printing.precedence import PRECEDENCE
  from sympy.printing.pycode import AbstractPythonCodePrinter, ArrayPrinter
  import sympy
label_desc: Use image node_id 3 for calling the TensorflowPrinter obj's underlying member method code with example usage: obj._print_Inverse(expr) and returns: str