code: def testInvalidConcatDimTypeAndShape(self):
      a = variables.Variable(constant_op.constant(1.0, shape=[1]))
      b = variables.Variable(constant_op.constant(2.0, shape=[1]))
      with self.assertRaises(ValueError):
          array_ops.concat(b, a)
      with self.assertRaises(TypeError):
          array_ops.concat(1, 4.2)
      with self.assertRaises(ValueError):
          array_ops.concat(1, a)
      with self.assertRaises(TypeError):
          array_ops.concat([a, b], a)
      with self.assertRaises(ValueError):
          array_ops.concat([a, b], [3])
      with self.assertRaises(ValueError):
          array_ops.concat([], 0)
      # An integer tensor for shape dim should throw no error.
      array_ops.concat(1, constant_op.constant(0, shape=[]))
      # A non-scalar tensor for shape should throw ValueError.
      with self.assertRaises(ValueError):
          array_ops.concat(1, constant_op.constant(0, shape=[1]))
  
imports: import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the ConcatOpTest obj's underlying member method code with example usage: obj.testInvalidConcatDimTypeAndShape() without return types