_config.session_creation_timeout_secs, log_step_count_steps=log_step_count_steps) as mon_sess: 单步调试后发现...,estimator写入event文件发生在调用MonitoredTrainingSession的时刻,而真正写入event是在执行hook的时候,例如在我的实验中我设置了log_step_count_steps
None, '_session_config': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps...None, '_session_config': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps
tf.estimator.RunConfig().replace( session_config=tf.ConfigProto(device_count={'GPU': 0, 'CPU': 1}), log_step_count_steps...tf.estimator.RunConfig().replace( session_config=tf.ConfigProto(device_count={'GPU': 0, 'CPU': 1}), log_step_count_steps
= build_features() run_config = tf.estimator.RunConfig( save_summary_steps=50, log_step_count_steps
600, '_session_config': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps
None, '_session_config': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps
0.3 my_dnn_optimizer = tf.keras.optimizers.Nadam(learning_rate=0.001) config = tf.estimator.RunConfig(log_step_count_steps
tensorflow.python.training.server_lib.ClusterSpec object at 0x7ff9d15f5fd0>, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps
领取专属 10元无门槛券
手把手带您无忧上云