class_docstr: Serving client based on `tfe.queue.FIFOQueue`.
  
  Must be set up with the same arguments as the server.
class_docstr_tok: ["Serving","client","based","on","`","tfe.queue.FIFOQueue","`",".","Must","be","set","up","with","the","same","arguments","as","the","server","."]
docstr: Send `x` to servers for processing.
docstr_tok: ["Send","`","x","`","to","servers","for","processing","."]
code: def send_input(self, x):
      """
      Send `x` to servers for processing.
      """
      assert isinstance(x, np.ndarray)
      assert list(x.shape) == list(self.input_shape)
  
      self.input_queue.enqueue(tfe.define_private_variable(x))
  
file_path: tf-encrypted/tf_encrypted/serving/queues.py
imports: import numpy
  import tensorflow
  import tf_encrypted
label_desc: Use image node_id 2 for calling the QueueClient obj's underlying member method code with example usage: obj.send_input(x) without return types