在宽和深学习模型中插入1MM +行会抛出ValueError: GraphDef cannot be larger than 2GB:
Traceback (most recent call last):
File "search_click.py", line 207, in <module>
tf.app.run()
File "/usr/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
File "search_click.py", line 204, in main
train_and_eval()
File "search_click.py", line 181, in train_and_eval
m.fit(input_fn=lambda: input_fn(df_train), steps=FLAGS.train_steps)
File "/usr/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 182, in fit
monitors=monitors)
File "/usr/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 458, in _train_model
summary_writer=graph_actions.get_summary_writer(self._model_dir))
File "/usr/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/graph_actions.py", line 76, in get_summary_writer
graph=ops.get_default_graph())
File "/usr/lib/python2.7/site-packages/tensorflow/python/training/summary_io.py", line 113, in __init__
self.add_graph(graph=graph, graph_def=graph_def)
File "/usr/lib/python2.7/site-packages/tensorflow/python/training/summary_io.py", line 204, …