Tensorflow - 图已完成，无法修改

我正在尝试启动分布式Tensorflow并获取以下错误。我的代码如下所示：Tensorflow - 图已完成，无法修改

sv = tf.train.Supervisor(is_chief=(task_index == 0), logdir="/tmp/train_logs", init_op=init_op, 
         summary_op=summary_op, saver=saver, global_step=global_step, save_model_secs=600) 
with sv.managed_session(server.target) as sess: 

step = 0 
while not sv.should_stop() and step < nnc.steps: 

    mini_batches = random_mini_batches(x_train, y_train, mini_batch_size) 

    for mini_batch in mini_batches: 
     (batch_x, batch_y) = mini_batch 

     _, step = sess.run([train_op, global_step], feed_dict={x: batch_x, y: batch_y})

当我得到它的失败上random_mini_batches函数的错误。但我完全不明白如何以及为什么。 random_mini_batches函数是一个用纯python + numpy编写的函数，没有任何与TensorFlow相关的东西。之前未使用x_train和y_train。

这里是我的错误：

File "/Users/curr_user/PycharmProjects/curr_project/src/nn.py", line 36, in random_mini_batches 
    num_complete_minibatches = int(math.floor(m/mini_batch_size)) # number of mini batches of size mini_batch_size 
    File "/Users/curr_user/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/math_ops.py", line 880, in r_binary_op_wrapper 
    x = ops.convert_to_tensor(x, dtype=y.dtype.base_dtype, name="x") 
    File "/Users/curr_user/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 611, in convert_to_tensor 
    as_ref=False) 
    File "/Users/curr_user/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 676, in internal_convert_to_tensor 
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) 
    File "/Users/curr_user/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 121, in _constant_tensor_conversion_function 
    return constant(v, dtype=dtype, name=name) 
    File "/Users/curr_user/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 106, in constant 
    attrs={"value": tensor_value, "dtype": dtype_value}, name=name).outputs[0] 
    File "/Users/curr_user/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2582, in create_op 
    self._check_not_finalized() 
    File "/Users/curr_user/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2290, in _check_not_finalized 
    raise RuntimeError("Graph is finalized and cannot be modified.")

任何帮助，将不胜感激！谢谢

来源

2017-10-19 user3489820

这不是你的问题，但我认为mini_batch_size是一个常数张量。虽然random_mini_batches是纯Python和numpy的，tensorflow overloads许多与张量的运营商，所以这条线

num_complete_minibatches = int(math.floor(m/mini_batch_size))

，事实上，在张量，这迫使m转换为张量以及执行__div__操作。但是tf.train.Supervisor()强制图形完成，即不能创建更多节点，因此转换失败。

解决的办法是让mini_batch_size成为一个普通常量，并确保random_mini_batches内部没有使用张量。

来源

2017-10-20 17:09:27 Maxim

谢谢，看起来你是对的。 – user3489820

Tensorflow - 图已完成，无法修改

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