code: def testPreserveDimsError(self, preserve_dims):
      in_shape = [10, 2, 3, 4]
      inputs = tf.ones(in_shape)
      mod = reshape.Flatten(preserve_dims=preserve_dims)
      with self.assertRaisesRegex(
          ValueError, "Input tensor has 4 dimensions"
      ):
          _ = mod(inputs)
  
imports: from absl.testing import parameterized
  import numpy
  from sonnet.src import reshape
  from sonnet.src import test_utils
  import tensorflow
label_desc: Use image node_id 5 for calling the FlattenTest obj's underlying member method code with example usage: obj.testPreserveDimsError(preserve_dims) without return types