code: def svd(a, max_iter, epsilon, precision_config=None):
      precision_config_proto = ""
      if precision_config:
          precision_config_proto = precision_config.SerializeToString()
      return gen_xla_ops.xla_svd(
          a, max_iter, epsilon, precision_config_proto
      )
  
imports: from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from local_xla.xla import xla_data_pb2
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import bitwise_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops.numpy_ops import np_utils
label_desc: Use image node_id 12 for calling a global function with example usage: svd(a, max_iter, epsilon, precision_config) and returns: gen_xla_ops