code: def _flatten_dims_0_and_1(t):
      """Returns a copy of `t` with the outer two dimensions merged."""
      if isinstance(t, ragged_tensor.RaggedTensor):
          return t.values
      else:
          t_shape = array_ops.shape(t)
          return array_ops.reshape(
              t, array_ops.concat([[-1], t_shape[2:]], axis=0)
          )
  
imports: from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_ragged_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_array_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import dispatch
label_desc: Use image node_id 5 for calling a global function with example usage: _flatten_dims_0_and_1(t) and returns: t, array_ops