code: def get_session_tensor(handle, dtype, name=None):
      """Get the tensor of type `dtype` by feeding a tensor handle.
  
      This is EXPERIMENTAL and subject to change.
  
      Get the value of the tensor from a tensor handle. The tensor
      is produced in a previous run() and stored in the state of the
      session.
  
      Args:
        handle: The string representation of a persistent tensor handle.
        dtype: The type of the output tensor.
        name: Optional name prefix for the return tensor.
  
      Returns:
        A pair of tensors. The first is a placeholder for feeding a
        tensor handle and the second is the tensor in the session state
        keyed by the tensor handle.
  
      Example:
  
      ```python
      c = tf.multiply(a, b)
      h = tf.compat.v1.get_session_handle(c)
      h = sess.run(h)
  
      p, a = tf.compat.v1.get_session_tensor(h.handle, tf.float32)
      b = tf.multiply(a, 10)
      c = sess.run(b, feed_dict={p: h.handle})
      ```
  
      """
      handle_device = TensorHandle._get_device_name(handle)
      with ops.device(handle_device):
          holder = array_ops.placeholder(dtypes.string)
          _register_handle_feeder(holder.graph, holder, dtype)
          tensor = gen_data_flow_ops.get_session_tensor(
              holder, dtype, name=name
          )
      return (holder, tensor)
  
imports: import numpy
  from tensorflow.core.framework import resource_handle_pb2
  from tensorflow.python.client import pywrap_tf_session
  from tensorflow.python.framework import device
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_data_flow_ops
  from tensorflow.python.util import compat
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling a global function with example usage: get_session_tensor(handle, dtype, name) and returns: holder,  tensor