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解决tensorflow由于未初始化变量而导致的错误问题

 更新时间：2020年01月06日 09:16:08   作者：skj1995  
今天小编就为大家分享一篇解决tensorflow由于未初始化变量而导致的错误问题，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧

我写的这个程序

import tensorflow as tf

sess=tf.InteractiveSession()
x=tf.Variable([1.0,2.0])
a=tf.constant([3.0,3.0])
x.initializer.run()
sun=tf.div(x,a)
print(sub.eval())
sess.close()

出现了如下所示的错误：

原因是倒数第二行的sub没有初始化，倒数第三行应该是初始化sub的，但是打错了，成了sun,这样后面出现的sub就相当于没有初始化，所以出现了变量没有初始化的错误。

FailedPreconditionError          Traceback (most recent call last)
C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
  1360   try:
-> 1361    return fn(*args)
  1362   except errors.OpError as e:

C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
  1339      return tf_session.TF_Run(session, options, feed_dict, fetch_list,
-> 1340                  target_list, status, run_metadata)
  1341 

C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\framework\errors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
  515       compat.as_text(c_api.TF_Message(self.status.status)),
--> 516       c_api.TF_GetCode(self.status.status))
  517   # Delete the underlying status object from memory otherwise it stays alive

FailedPreconditionError: Attempting to use uninitialized value Variable_1
	 [[Node: Variable_1/read = Identity[T=DT_FLOAT, _class=["loc:@Variable_1"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](Variable_1)]]

During handling of the above exception, another exception occurred:

FailedPreconditionError          Traceback (most recent call last)
<ipython-input-3-cac34f40642f> in <module>()
   5 x.initializer.run()
   6 sun=tf.div(x,a)
----> 7 print(sub.eval())
   8 sess.close()

C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in eval(self, feed_dict, session)
  654 
  655   """
--> 656   return _eval_using_default_session(self, feed_dict, self.graph, session)
  657 
  658 

C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _eval_using_default_session(tensors, feed_dict, graph, session)
  4899            "the tensor's graph is different from the session's "
  4900            "graph.")
-> 4901  return session.run(tensors, feed_dict)
  4902 
  4903 

C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
  903   try:
  904    result = self._run(None, fetches, feed_dict, options_ptr,
--> 905             run_metadata_ptr)
  906    if run_metadata:
  907     proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
  1135   if final_fetches or final_targets or (handle and feed_dict_tensor):
  1136    results = self._do_run(handle, final_targets, final_fetches,
-> 1137               feed_dict_tensor, options, run_metadata)
  1138   else:
  1139    results = []

C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
  1353   if handle is None:
  1354    return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1355              options, run_metadata)
  1356   else:
  1357    return self._do_call(_prun_fn, self._session, handle, feeds, fetches)

C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
  1372     except KeyError:
  1373      pass
-> 1374    raise type(e)(node_def, op, message)
  1375 
  1376  def _extend_graph(self):

FailedPreconditionError: Attempting to use uninitialized value Variable_1
	 [[Node: Variable_1/read = Identity[T=DT_FLOAT, _class=["loc:@Variable_1"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](Variable_1)]]

Caused by op 'Variable_1/read', defined at:
 File "C:\Users\SKJ\Anaconda3\lib\runpy.py", line 184, in _run_module_as_main
  "__main__", mod_spec)
 File "C:\Users\SKJ\Anaconda3\lib\runpy.py", line 85, in _run_code
  exec(code, run_globals)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\ipykernel\__main__.py", line 3, in <module>
  app.launch_new_instance()
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\traitlets\config\application.py", line 653, in launch_instance
  app.start()
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 474, in start
  ioloop.IOLoop.instance().start()
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\zmq\eventloop\ioloop.py", line 162, in start
  super(ZMQIOLoop, self).start()
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tornado\ioloop.py", line 887, in start
  handler_func(fd_obj, events)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
  return fn(*args, **kwargs)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
  self._handle_recv()
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
  self._run_callback(callback, msg)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
  callback(*args, **kwargs)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
  return fn(*args, **kwargs)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher
  return self.dispatch_shell(stream, msg)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell
  handler(stream, idents, msg)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request
  user_expressions, allow_stdin)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
  res = shell.run_cell(code, store_history=store_history, silent=silent)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell
  return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell
  interactivity=interactivity, compiler=compiler, result=result)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2821, in run_ast_nodes
  if self.run_code(code, result):
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code
  exec(code_obj, self.user_global_ns, self.user_ns)
 File "<ipython-input-2-69a776ba1e33>", line 3, in <module>
  x=tf.Variable([1.0,2.0])
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\ops\variables.py", line 233, in __init__
  constraint=constraint)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\ops\variables.py", line 381, in _init_from_args
  self._snapshot = array_ops.identity(self._variable, name="read")
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\ops\array_ops.py", line 131, in identity
  return gen_array_ops.identity(input, name=name)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 2656, in identity
  "Identity", input=input, name=name)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
  op_def=op_def)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3271, in create_op
  op_def=op_def)
 File "C:\Users\SKJ\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1650, in __init__
  self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value Variable_1
	 [[Node: Variable_1/read = Identity[T=DT_FLOAT, _class=["loc:@Variable_1"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](Variable_1)]]

以上这篇解决tensorflow由于未初始化变量而导致的错误问题就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持脚本之家。

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