class_docstr: Mesh implementation for TPU using SIMD and MPI operations.
class_docstr_tok: ["Mesh","implementation","for","TPU","using","SIMD","and","MPI","operations","."]
docstr: Import a tf.Tensor, producing a LaidOutTensor.
  
  Args:
    x: a Tensor
    tf_x: a tf.Tensor
  Returns:
    a LaidOutTensor
code: def import_tf_tensor(self, x, tf_x):
      """Import a tf.Tensor, producing a LaidOutTensor.
  
      Args:
        x: a Tensor
        tf_x: a tf.Tensor
      Returns:
        a LaidOutTensor
      """
      return self.slice(tf_x, x.shape)
  
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 17 for calling the SimdMeshImpl obj's underlying member method code with example usage: obj.import_tf_tensor(x, tf_x) and returns: self