Fix NotFoundError error in tensorflow test model

The error code is as follows:

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

Failed to find any matching files for xxx
 ... 

After data analysis, the cause of the error may be the path problem when loading the model. The loading model method I adopted:

with tf.Session() as sess:
  print("Reading checkpoints...")
  ckpt = tf.train.get_checkpoint_state(logs_train_dir)
  if ckpt and ckpt.model_checkpoint_path:
   global_step = ckpt.model_checkpoint_path.split('/')    　　　　　　　　　　　　　　　　　　　　　　　　　　[-1].split('-')[-1]
   saver.restore(sess, ckpt.model_checkpoint_path)
   print('Loading success, global_step is %s' % global_step)
  else:
   print('No checkpoint file found')

When the model is saved, the method is

saver = tf.train.Saver()
 ... 
 ... 
 ... 
if step % 1000 == 0 or (step + 1) == MAX_STEP:
 checkpoint_path = os.path.join(logs_train_dir, './model.ckpt')
 saver.save(sess, checkpoint_path, global_step=step)

Note the./ model.ckpt in the code block, this is the key, model.ckpt will report an error. If the method of directly loading the model file is adopted when loading the model, then:

Change the previous code:

saver.restore(sess,'model.ckpt')

Modified code:

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

After my modification, there is no problem. If this method cannot solve your problem, please check the data and solve it