meta, idx_q, idx_a = data.load_data("")
(trainX, trainY), (testX, testY), (validX, validY) = data.split_dataset(idx_q, idx_a)

trainX = tl.prepro.remove_pad_sequences(trainX.tolist())
trainY = tl.prepro.remove_pad_sequences(trainY.tolist())
testX  = tl.prepro.remove_pad_sequences(testX.tolist())
testY  = tl.prepro.remove_pad_sequences(testY.toList())
validX = tl.prepro.remove_pad_sequences(validX.toList())
validY = tl.prepro.remove_pad_sequences(validY.toList())

xLen = len(trainX)
yLen = len(trainY)

tl.files.load_and_assign_npz(sess=sess, name="n.npz", network=net)

Input:  great
>  i
>  end_id you
>  end_id
>  you you you
>  end_id

Input:  great
>  i dont have to a unk
>  you dont to to to to a unk
>  you dont have to a unk
>  you dont to to a unk
>  you have to a unk