圆月山庄资源网

解决tensorflow1.x版本加载saver.restore目录报错的问题
脚本专栏 2024/11/7 佚名
3 2
圆月山庄资源网 Design By www.vgjia.com

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。

标签：
tensorflow,加载,saver.restore
圆月山庄资源网 Design By www.vgjia.com
广告合作：本站广告合作请联系QQ：858582 申请时备注：广告合作（否则不回）
免责声明：本站文章均来自网站采集或用户投稿，网站不提供任何软件下载或自行开发的软件！ 如有用户或公司发现本站内容信息存在侵权行为，请邮件告知！ 858582#qq.com
圆月山庄资源网 Design By www.vgjia.com
www.vgjia.com 圆月山庄资源网
139,976互联网资源
144,792高清电影
21,817无损音乐
631,128技术资源

P70系列延期，华为新旗舰将在下月发布

3月20日消息，近期博主@数码闲聊站 透露，原定三月份发布的华为新旗舰P70系列延期发布，预计4月份上市。

而博主@定焦数码 爆料，华为的P70系列在定位上已经超过了Mate60，成为了重要的旗舰系列之一。它肩负着重返影像领域顶尖的使命。那么这次P70会带来哪些令人惊艳的创新呢？

根据目前爆料的消息来看，华为P70系列将推出三个版本，其中P70和P70 Pro采用了三角形的摄像头模组设计，而P70 Art则采用了与上一代P60 Art相似的不规则形状设计。这样的外观是否好看见仁见智，但辨识度绝对拉满。

更新日志

友情链接

杰晶网络 DDR爱好者之家 桃源资源网 杰网资源 富贵资源网 南强小屋 铁雪资源网 幽灵资源网 万梅资源网 狼山资源网 白云岛资源网 昆仑资源网 相思资源网 明霞山资源网 内蒙古资源网 黑松山资源网 茶园资源网 饿虎岗资源网 大旗谷资源网 常春岛资源网 岱庙资源网 兴国资源网 快活林资源网 蝙蝠岛资源网 帝王谷资源网 白云城资源网 伏龙阁资源网 清风细雨楼 天枫庄资源网 圆月山庄资源网 无争山庄资源网 神水资源网 移花宫资源网 神剑山庄资源网 无为清净楼资源网 金钱帮资源网 丐帮资源网 华山资源网 极乐门资源网 小李飞刀资源网 凤求凰客栈 风云阁资源网 金狮镖局 鸳鸯亭资源网 千金楼资源网 更多链接