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_MatrixBase(self, expr):
      tensorflow_f = (
          "tensorflow.Variable"
          if expr.free_symbols
          else "tensorflow.constant"
      )
      data = (
          "["
          + ", ".join(
              [
                  "[" + ", ".join([self._print(j) for j in i]) + "]"
                  for i in expr.tolist()
              ]
          )
          + "]"
      )
      return "%s(%s)" % (
          self._module_format(tensorflow_f),
          data,
      )
  
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 8 for calling the TensorflowPrinter obj's underlying member method code with example usage: obj._print_MatrixBase(expr) and returns: unknown