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

yipeiwu_com5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

Python aiohttp百万并发极限测试实例分析

本文实例讲述了Python aiohttp百万并发极限测试。分享给大家供大家参考,具体如下: 本文将测试python aiohttp的极限,同时测试其性能表现,以分钟发起请求数作为指标。...

django rest framework之请求与响应(详解)

前言:在上一篇文章,已经实现了访问指定URL就返回了指定的数据,这也体现了RESTful API的一个理念,每一个URL代表着一个资源。当然我们还知道RESTful API的另一个特性就...

深入浅析Python传值与传址

1. 传值与传址的区别 传值就是传入一个参数的值,传址就是传入一个参数的地址,也就是内存的地址(相当于指针)。他们的区别是如果函数里面对传入的参数重新赋值,函数外的全局变量是否相应改变:...

Python的Flask框架应用调用Redis队列数据的方法

任务异步化 打开浏览器,输入地址,按下回车,打开了页面。于是一个HTTP请求(request)就由客户端发送到服务器,服务器处理请求,返回响应(response)内容。 我们每天都在浏览...

二种python发送邮件实例讲解(python发邮件附件可以使用email模块实现)

可以使用Python的email模块来实现带有附件的邮件的发送。 SMTP (Simple Mail Transfer Protocol)邮件传送代理 (Mail Transfer Ag...