Python 3.x 如何子类`tf.train.Saver（）`？
我正在进行Python 3.x 如何子类`tf.train.Saver（）`？,python-3.x,tensorflow,tensorflow-slim,Python 3.x,Tensorflow,Tensorflow Slim,我正在进行colaboratory培训，有时会失去与服务器的连接。90分钟不活动后，VM也将重置 我想用回调覆盖tf.train.Saver.save（），这样我就可以按时间或步长将检查点复制到我的Google云存储帐户 见： 但是当我运行slim.learning.train（saver=callback\u saver） 错误： --------------------------------------------------------------------------- Attrib
colaboratorytf.train.Saver.save（）slim.learning.train（saver=callback\u saver）---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-41-dfb09327cccd> in <module>()
149 save_summaries_secs=300,
150 save_interval_secs=600,
--> 151 saver=callback_saver,
152 # saver=tf_saver.Saver,
153 )
/anaconda/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/slim/python/slim/learning.py in train(train_op, logdir, train_step_fn, train_step_kwargs, log_every_n_steps, graph, master, is_chief, global_step, number_of_steps, init_op, init_feed_dict, local_init_op, init_fn, ready_op, summary_op, save_summaries_secs, summary_writer, startup_delay_steps, saver, save_interval_secs, sync_optimizer, session_config, session_wrapper, trace_every_n_steps)
730 save_summaries_secs=save_summaries_secs,
731 save_model_secs=save_interval_secs,
--> 732 init_fn=init_fn)
733
734 if summary_writer is not None:
/anaconda/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/supervisor.py in __init__(self, graph, ready_op, ready_for_local_init_op, is_chief, init_op, init_feed_dict, local_init_op, logdir, summary_op, saver, global_step, save_summaries_secs, save_model_secs, recovery_wait_secs, stop_grace_secs, checkpoint_basename, session_manager, summary_writer, init_fn)
304 self._meta_graph_def = meta_graph.create_meta_graph_def(
305 graph_def=graph.as_graph_def(add_shapes=True),
--> 306 saver_def=self._saver.saver_def if self._saver else None)
307 self._is_chief = is_chief
308 self._coord = coordinator.Coordinator()
AttributeError: 'Saver_with_callback' object has no attribute 'saver_def'
---------------------------------------------------------------------------
AttributeError回溯（最近一次呼叫上次）
在（）
149保存摘要=300，
150保存间隔=600秒，
-->151 saver=callback\u saver，
152#saver=tf#u saver.saver，
153 )
/anaconda/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/slim/python/slim/learning.py在列车上（train_op，logdir，train_step，fn，train_step，kwargs，log_every_n_steps，graph，master，is_chief，global_step，number_step，init_op，init_feed_dict，local_init_op，init_fn，ready_op，summary_op，save_secs，save_summary_writer，start_delay_steps，start_steps，save_interval_secs，sync_optimizer，sync_optimizer，session_config，session_trace_trace_trace_trace_traceps）
730保存摘要秒=保存摘要秒，
731保存模式秒=保存间隔秒，
-->732初始值fn=初始值fn）
733
734如果摘要编写器不是无：
/anaconda/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/supervisor.py in_u_init__（self、graph、ready\u op、ready\u for\u local\u init\u op、is\u chief、init\u feed\u dict、local\u init\u op、logdir、summary\u op、saver、global\u step、save\u summaries\u secs、save\u model\u secs、recovery\u wait\u secs、stop\u grace\u secs、checkpoint\u basename、session\u manager、summary\u writer、init\u fn）
304 self._meta_graph_def=meta_graph.create_meta_graph_def(
305图形定义=图形。作为图形定义（添加形状=真），
-->306 saver_def=self.\u saver.saver_def如果self.\u saver其他无）
307 self._is_chief=是_chief
308 self.\u coord=协调人
AttributeError:'Saver_with_callback'对象没有属性'Saver_def'
isinstance（callback\u saver，tf\u saver.saver）=Truesaver=tf\u saver.saver（）saver\u with\u callback.\uu init\uuuuuu（）中调用tf\u saver.saver
的函数
调用super（tf\u saver.saver，self）时，调用了tf\u saver.saver
的父类的\uuuu init\uuuuuuuuuuuuu
函数
这是因为super（tf_saver.saver，self）
返回tf_saver.saver
的父类，而不是tf_saver.saver
本身
你应该打电话
super（带回调的Saver\u，self）。\uuuu init\uuu（**kwargs）
或者简单地说是Python3
super（）我尝试使用<代码> Apple >代码> > Cron < /Cult> LIB，但是我得到了一个时区错误，我不认为它是配置的。<代码> unNoNeNeTimeZONEORKEY：“找不到任何时区配置”<代码>。您是否考虑将检查点保存到Dropbox或其他同步目录？这可以比编写TH更快地组织起来。问题是我正在使用googlecolaboratory
，不确定dropbox是否受VM支持，因为变量saver\u def
设置在基本saver
类的\uuuuu init\uuuuuuuuuuu
方法的\uuuuuuu init>中，我怀疑saver的方法没有被调用。我会使用新的pyth在3super（）
？我不熟悉装饰器结构我做了以下更改，效果很好super（）。\uuuu init\uuuuugs（**kwargs）
和model\u checkpoint\u path=super（）.save（sess，save\u path，**kwargs）
final_loss = slim.learning.train(train_op, log_dir,
init_fn=init_fn,
global_step=global_step,
number_of_steps=steps,
save_summaries_secs=300,
save_interval_secs=600,
saver=callback_saver,
# saver=tf_saver.Saver(),
)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-41-dfb09327cccd> in <module>()
149 save_summaries_secs=300,
150 save_interval_secs=600,
--> 151 saver=callback_saver,
152 # saver=tf_saver.Saver,
153 )
/anaconda/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/slim/python/slim/learning.py in train(train_op, logdir, train_step_fn, train_step_kwargs, log_every_n_steps, graph, master, is_chief, global_step, number_of_steps, init_op, init_feed_dict, local_init_op, init_fn, ready_op, summary_op, save_summaries_secs, summary_writer, startup_delay_steps, saver, save_interval_secs, sync_optimizer, session_config, session_wrapper, trace_every_n_steps)
730 save_summaries_secs=save_summaries_secs,
731 save_model_secs=save_interval_secs,
--> 732 init_fn=init_fn)
733
734 if summary_writer is not None:
/anaconda/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/supervisor.py in __init__(self, graph, ready_op, ready_for_local_init_op, is_chief, init_op, init_feed_dict, local_init_op, logdir, summary_op, saver, global_step, save_summaries_secs, save_model_secs, recovery_wait_secs, stop_grace_secs, checkpoint_basename, session_manager, summary_writer, init_fn)
304 self._meta_graph_def = meta_graph.create_meta_graph_def(
305 graph_def=graph.as_graph_def(add_shapes=True),
--> 306 saver_def=self._saver.saver_def if self._saver else None)
307 self._is_chief = is_chief
308 self._coord = coordinator.Coordinator()
AttributeError: 'Saver_with_callback' object has no attribute 'saver_def'