我正在学习关于递归神经网络的教程.
这是进口:
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from tensorflow.python.ops import rnn
from tensorflow.contrib.rnn import core_rnn_cell
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这是输入处理的代码:
x = tf.transpose(x, [1,0,2])
x = tf.reshape(x, [-1, chunk_size])
x = tf.split(x, n_chunks, 0)
lstm_cell = core_rnn_cell.BasicLSTMCell(rnn_size)
outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)
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我收到以下错误outputs, states
:
AttributeError: module 'tensorflow.python.ops.rnn' has no attribute 'rnn'
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TensorFlow最近更新了,那么违规行的新代码应该是什么
suk*_*uku 26
对于使用较新版本tensorflow的人,请将其添加到代码中:
from tensorflow.contrib import rnn
lstm_cell = rnn.BasicLSTMCell(rnn_size)
outputs, states = rnn.static_rnn(lstm_cell, x, dtype=tf.float32)
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代替
from tensorflow.python.ops import rnn, rnn_cell
lstm_cell = rnn_cell.BasicLSTMCell(rnn_size,state_is_tuple=True)
outputs, states = rnn.rnn(lstm_cell, x, dtype=tf.float32)
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