code: def _TestRandomGraphWithDevices(
      self, sess, seed, op_placement, devices, debug_mode=False
  ):
      data = []
      shape = (self._dim, self._dim)
      feed_dict = {}
      # Initialize the matrices
      for i in range(len(devices)):
          with ops.device(devices[i]):
              var = array_ops.placeholder(dtypes.float32, shape=shape)
              np.random.seed(seed + i)
              feed_dict[var] = np.random.uniform(
                  low=0, high=0.1, size=shape
              ).astype(np.float32)
              data.append(var)
      # Run the 'add' operations on those matrices
      for op in op_placement:
          with ops.device(devices[op[2]]):
              data[op[2]] = math_ops.add(data[op[0]], data[op[1]])
      with ops.device("/cpu:0"):
          s = data[0]
          for i in range(1, len(data)):
              s = math_ops.add(s, data[i])
      if debug_mode:
          logging.info(ops.get_default_graph().as_graph_def())
      result = sess.run(s, feed_dict=feed_dict)
      self._LogMatrix(result, self._dim)
      return result
  
imports: import random
  import numpy
  from google.protobuf import text_format
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 5 for calling the VirtualGpuTestUtil obj's underlying member method code with example usage: obj._TestRandomGraphWithDevices(sess, seed, op_placement, devices, debug_mode) and returns: result