解决tensorflow由于未初始化变量而导致的错误问题

技术  /  管理员 发布于 7年前   230

我写的这个程序

import tensorflow as tfsess=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 aliveFailedPreconditionError: 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-accessFailedPreconditionError (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。