np000

import tensorflow as tf


class Rnn(tf.Module):
    def __init__(self, features, n_in=5, n_hid=5, init_state=None, n_out=None):
        self._n_in = n_in
        self._n_hid = n_hid
        self._n_out = n_out
        self._init_state = init_state
        self._batch_size = 64

np000

from __future__ import print_function
import tensorflow as tf
from tensorflow.contrib.layers import xavier_initializer
import abc
import six


@six.add_metaclass(abc.ABCMeta)
class BasicRnn(object):