(self, prev, i)
Returns a sample to be used to predict a character during training.

    This function is used as a loop_function for an RNN decoder.

    Args:
      prev: output tensor from previous step of the RNN. A tensor with shape:
        [batch_size, num_char_classes].
      i: index of a character in the output sequence.

    Returns:
      A tensor with shape [batch_size, ?] - depth depends on implementation
      details.
Returns a sample to be used to predict a character during training.
Returns a sample to be used to predict a character during training .
def get_train_input(self, prev, i):
    """Returns a sample to be used to predict a character during training.

    This function is used as a loop_function for an RNN decoder.

    Args:
      prev: output tensor from previous step of the RNN. A tensor with shape:
        [batch_size, num_char_classes].
      i: index of a character in the output sequence.

    Returns:
      A tensor with shape [batch_size, ?] - depth depends on implementation
      details.
    """
    pass
def get_train_input ( self , prev , i ) : pass