class_docstr: Mesh implementation for TPU using SIMD and MPI operations.
class_docstr_tok: ["Mesh","implementation","for","TPU","using","SIMD","and","MPI","operations","."]
docstr: Turn a Tensor into a tf.Tensor.
  
  Args:
    x: a Tensor
    laid_out_x: a LaidOutTensor
  Returns:
    a tf.Tensor
code: def export_to_tf_tensor(self, x, laid_out_x):
      """Turn a Tensor into a tf.Tensor.
  
      Args:
        x: a Tensor
        laid_out_x: a LaidOutTensor
      Returns:
        a tf.Tensor
      """
      tensor_layout = self.tensor_layout(x.shape)
      if not tensor_layout.is_fully_replicated:
          raise NotImplementedError(
              "SimdMeshImpl only supports export_to_tf_tensor of fully-replicated "
              "Tensors.  Try reshaping to new dimension names. "
              " x.shape = %s tensor_layout=%s"
              % (x.shape, tensor_layout)
          )
      return laid_out_x.one_slice
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import os
  import gin
  from mesh_tensorflow import ops_with_redefined_builtins
  from mesh_tensorflow import tpu_variables
  from mesh_tensorflow import utils
  from six.moves import xrange
  import tensorflow.compat.v1
  from tensorflow.python.tpu.ops import tpu_ops
label_desc: Use image node_id 16 for calling the SimdMeshImpl obj's underlying member method code with example usage: obj.export_to_tf_tensor(x, laid_out_x) and returns: laid_out_x