parameters: (device_count)
docstring: Prepare feeding data for simple network. The shape is [device_count, 2, 2].
  
      Args:
          device_count (int): The number of devices.
docstring_summary: Prepare feeding data for simple network. The shape is [device_count, 2, 2].
docstring_tokens: Prepare feeding data for simple network . The shape is [ device_count 2 2 ] .
function: def _prepare_data(device_count):
      """
      Prepare feeding data for simple network. The shape is [device_count, 2, 2].
  
      Args:
          device_count (int): The number of devices.
      """
      # Prepare the feeding data.
      np_input_single = np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32)
      if device_count == 1:
          return np_input_single.reshape(device_count, 2, 2)
      else:
          input_list = []
          for i in range(device_count):
              input_list.append(np_input_single)
          np_input_muti = np.array(input_list)
          np_input_muti = np_input_muti.reshape(device_count, 2, 2)
          return np_input_muti
function_tokens: def _prepare_data ( device_count ) : # Prepare the feeding data. np_input_single = np . array ( [ [ 1.0 , 2.0 ] , [ 3.0 , 4.0 ] ] , dtype = np . float32 ) if device_count == 1 : return np_input_single . reshape ( device_count , 2 , 2 ) else : input_list = [ ] for i in range ( device_count ) : input_list . append ( np_input_single ) np_input_muti = np . array ( input_list ) np_input_muti = np_input_muti . reshape ( device_count , 2 , 2 ) return np_input_muti