tensorlayerでの引数エラー(?)について

##環境
windows
python3
tensorlayer1.8.1
tensorflow1.6.0
##したい事
https://github.com/tensorlayer/seq2seq-chatbot
のプログラムを動かしたい
##問題点
以下のエラーが出ているが、自信の経験値的にエラー内容が分かりません。
引数が足りないよとの事を言われてそうなのですが、どこで関数を呼び出しているのかも分かりません。
また、開発者と同様のバージョンにしようとしたのですが、tensorlayerの過去バージョンをどこからDLすればいいのか分かりません。

encode_seqs ['wednesday', 'and', 'thursday', 'in', 'seattle', 's', 'big', 'conference', '']
target_seqs ['wish', 'but', 'cant', 'travel', 'enjoy', 'end_id']
decode_seqs ['start_id', 'wish', 'but', 'cant', 'travel', 'enjoy']
target_mask [1 1 1 1 1 1]
6 6 6
[TL] EmbeddingInputlayer model/embedding/seq_embedding: (8004, 1024)
WARNING:tensorflow:From E:/AI/venv/chatbot_test/seq2seq-chatbot-master/main_simple_seq2seq.py:85: set_name_reuse (from tensorlayer.layers.core) is deprecated and will be removed after 2018-06-30.
Instructions for updating:
TensorLayer relies on TensorFlow to check name reusing.
[TL] From E:/AI/venv/chatbot_test/seq2seq-chatbot-master/main_simple_seq2seq.py:85: set_name_reuse (from tensorlayer.layers.core) is deprecated and will be removed after 2018-06-30.
Instructions for updating:
TensorLayer relies on TensorFlow to check name reusing.
[TL] this method is DEPRECATED and has no effect, please remove it from your code.
[TL] EmbeddingInputlayer model/embedding/seq_embedding: (8004, 1024)
[TL] [] Seq2Seq model/seq2seq: n_hidden:1024 cell_fn:BasicLSTMCell dropout:0.5 n_layer:3
[TL] DynamicRNNLayer model/seq2seq/encode: n_hidden:1024, in_dim:3 in_shape:(32, ?, 1024) cell_fn:BasicLSTMCell dropout:0.5 n_layer:3
[TL] batch_size (concurrent processes): 32
[TL] DynamicRNNLayer model/seq2seq/decode: n_hidden:1024, in_dim:3 in_shape:(32, ?, 1024) cell_fn:BasicLSTMCell dropout:0.5 n_layer:3
[TL] batch_size (concurrent processes): 32
[TL] DenseLayer model/output: 8004 identity
[TL] EmbeddingInputlayer model/embedding/seq_embedding: (8004, 1024)
[TL] this method is DEPRECATED and has no effect, please remove it from your code.
[TL] EmbeddingInputlayer model/embedding/seq_embedding: (8004, 1024)
[TL] [] Seq2Seq model/seq2seq: n_hidden:1024 cell_fn:BasicLSTMCell dropout:None n_layer:3
[TL] DynamicRNNLayer model/seq2seq/encode: n_hidden:1024, in_dim:3 in_shape:(1, ?, 1024) cell_fn:BasicLSTMCell dropout:None n_layer:3
[TL] batch_size (concurrent processes): 1
Traceback (most recent call last):
File "E:\Anaconda3\envs\untitled\lib\site-packages\tensorlayer\layers\recurrent.py", line 1086, in init
self.cell = MultiRNNCell_fn([cell_creator(is_last=i == n_layer - 1) for i in range(n_layer)], state_is_tuple=True)
File "E:\Anaconda3\envs\untitled\lib\site-packages\tensorlayer\layers\recurrent.py", line 1086, in <listcomp>
self.cell = MultiRNNCell_fn([cell_creator(is_last=i == n_layer - 1) for i in range(n_layer)], state_is_tuple=True)
TypeError: <lambda>() got an unexpected keyword argument 'is_last'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "E:/AI/venv/chatbot_test/seq2seq-chatbot-master/main_simple_seq2seq.py", line 115, in <module>
decode_seqs2 = tf.placeholder(dtype=tf.int64, shape=[1, None], name="decode_seqs")
File "E:/AI/venv/chatbot_test/seq2seq-chatbot-master/main_simple_seq2seq.py", line 101, in model
return_seq_2d = True,
File "E:\Anaconda3\envs\untitled\lib\site-packages\tensorlayer\layers\recurrent.py", line 1569, in init
name='encode')
File "E:\Anaconda3\envs\untitled\lib\site-packages\tensorlayer\layers\recurrent.py", line 1089, in init
self.cell = MultiRNNCell_fn([cell_creator(is_last=i == n_layer - 1) for i in range(n_layer)])
File "E:\Anaconda3\envs\untitled\lib\site-packages\tensorlayer\layers\recurrent.py", line 1089, in <listcomp>
self.cell = MultiRNNCell_fn([cell_creator(is_last=i == n_layer - 1) for i in range(n_layer)])