解决tensorflow1.x版本加载saver.restore目录报错的问题

yipeiwu_com6年前Python基础

这个错误是最新的错误哈,目前只在tensorflow上的github仓库上面有提出,所以你在百度上面找不到。

是个tensorflow的bug十天前提出的,只有github仓库上一个地方有提出。

NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: 

Failed to find any matching files for xxx
Traceback (most recent call last):
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1022, in _do_call
  return fn(*args)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1004, in _run_fn
  status, run_metadata)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\contextlib.py", line 66, in __exit__
  next(self.gen)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
  pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for D://model.ckpt
	 [[Node: save_1/RestoreV2_10 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2_10/tensor_names, save_1/RestoreV2_10/shape_and_slices)]]
 
During handling of the above exception, another exception occurred:
 
Traceback (most recent call last):
 File "F:/DeepStock/DeepStock/testCapacity.py", line 77, in <module>
  prediction(out)
 File "F:/DeepStock/DeepStock/testCapacity.py", line 63, in prediction
  saver.restore(sess, 'D://model.ckpt')
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1428, in restore
  {self.saver_def.filename_tensor_name: save_path})
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 767, in run
  run_metadata_ptr)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 965, in _run
  feed_dict_string, options, run_metadata)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1015, in _do_run
  target_list, options, run_metadata)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1035, in _do_call
  raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for D://model.ckpt
	 [[Node: save_1/RestoreV2_10 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2_10/tensor_names, save_1/RestoreV2_10/shape_and_slices)]]
 
Caused by op 'save_1/RestoreV2_10', defined at:
 File "F:/DeepStock/DeepStock/testCapacity.py", line 77, in <module>
  prediction(out)
 File "F:/DeepStock/DeepStock/testCapacity.py", line 60, in prediction
  saver = tf.train.Saver(tf.global_variables())
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1040, in __init__
  self.build()
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1070, in build
  restore_sequentially=self._restore_sequentially)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 675, in build
  restore_sequentially, reshape)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 402, in _AddRestoreOps
  tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 242, in restore_op
  [spec.tensor.dtype])[0])
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 668, in restore_v2
  dtypes=dtypes, name=name)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 763, in apply_op
  op_def=op_def)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2327, in create_op
  original_op=self._default_original_op, op_def=op_def)
 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1226, in __init__
  self._traceback = _extract_stack()
 
NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for D://model.ckpt
	 [[Node: save_1/RestoreV2_10 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2_10/tensor_names, save_1/RestoreV2_10/shape_and_slices)]]
 

改之前代码:

saver.restore(sess, 'D://model.ckpt')

将前面加上个点斜杠就好了。

saver.restore(sess, 'D://./model.ckpt')

如果你目录太复杂实在搞不明白用这个(默认加载checkout 文件中的最新的保存的数据):

module_file = tf.train.latest_checkpoint('E://deeplearning-master/deeplearning-master/tensorflow-program/save/')
with tf.Session() as sess:
  sess.run(tf.global_variables_initializer())
  if module_file is not None:
    saver.restore(sess, module_file)

以上这篇解决tensorflow1.x版本加载saver.restore目录报错的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【听图阁-专注于Python设计】。

相关文章

使用OpCode绕过Python沙箱的方法详解

0x01 OpCode opcode又称为操作码,是将python源代码进行编译之后的结果,python虚拟机无法直接执行human-readable的源代码,因此python编译器第...

python3实现二叉树的遍历与递归算法解析(小结)

python3实现二叉树的遍历与递归算法解析(小结)

1、二叉树的三种遍历方式 二叉树有三种遍历方式:先序遍历,中序遍历,后续遍历 即:先中后指的是访问根节点的顺序 eg:先序 根左右 中序 左根右 后序 左右根 遍历总体思路:将树分成最小...

Python进阶之全面解读高级特性之切片

Python进阶之全面解读高级特性之切片

众所周知,我们可以通过索引值(或称下标)来查找序列类型(如字符串、列表、元组…)中的单个元素,那么,如果要获取一个索引区间的元素该怎么办呢? 切片(slice)就是一种截取索引片段的技术...

python+opencv实现动态物体识别

python+opencv实现动态物体识别

注意:这种方法十分受光线变化影响 自己在家拿着手机瞎晃的成果图: 源代码: # -*- coding: utf-8 -*- """ Created on Wed Sep 2...

Python数据分析库pandas基本操作方法

Python数据分析库pandas基本操作方法

pandas是什么? 是它吗? 。。。。很显然pandas没有这个家伙那么可爱。。。。 我们来看看pandas的官网是怎么来定义自己的: pandas is an open sourc...