数据丢失：恢复张量流图时不是稳定的（坏幻数）

Question

语言：python3.x

我使用此 API 训练了一个对象识别模型：https ://github.com/thtrieu/darkflow

训练后检查点存储在ckpt文件夹中。保存 4 个文件。

1.index文件

2.元文件

3.profile文件

4 .data-00000-of-00001 文件

当我尝试在机器上恢复图形时，我在其上训练了模型，它成功恢复并运行模型。

当我移动机器时，图表无法恢复并抛出以下错误：

Running entirely on CPU
Loading from ./ckpt/yolov2-tiny-voc-1c-589
2018-12-30 20:43:14.628170: W tensorflow/core/framework/op_kernel.cc:1273] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Data loss: not an sstable (bad magic number)
2018-12-30 20:43:16.853852: W tensorflow/core/framework/op_kernel.cc:1273] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Data loss: not an sstable (bad magic number)
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1334, in _do_call
    return fn(*args)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.DataLossError: not an sstable (bad magic number)
     [[{{node save/RestoreV2}} = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

完整的错误消息很大，所以我将其发布在这里： https: //drive.google.com/open? id=1-FJezfP7COSIDvElAvHCR2wzln21c-_S

请询问任何您可能需要的更多信息