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Python sync_replicas_optimizer.SyncReplicasOptimizer方法代码示例

本文整理汇总了Python中tensorflow.python.training.sync_replicas_optimizer.SyncReplicasOptimizer方法的典型用法代码示例。如果您正苦于以下问题:Python sync_replicas_optimizer.SyncReplicasOptimizer方法的具体用法?Python sync_replicas_optimizer.SyncReplicasOptimizer怎么用?Python sync_replicas_optimizer.SyncReplicasOptimizer使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在tensorflow.python.training.sync_replicas_optimizer的用法示例。


在下文中一共展示了sync_replicas_optimizer.SyncReplicasOptimizer方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: _check_no_sync_replicas_optimizer

# 需要导入模块: from tensorflow.python.training import sync_replicas_optimizer [as 别名]
# 或者: from tensorflow.python.training.sync_replicas_optimizer import SyncReplicasOptimizer [as 别名]
def _check_no_sync_replicas_optimizer(optimizer):
  if isinstance(optimizer, sync_replicas_optimizer.SyncReplicasOptimizer):
    raise ValueError(
        "SyncReplicasOptimizer is not supported in DNNLinearCombined model. "
        "If you want to use this optimizer, please use either DNN or Linear "
        "model.") 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:8,代码来源:dnn_linear_combined.py

示例2: _check_no_sync_replicas_optimizer

# 需要导入模块: from tensorflow.python.training import sync_replicas_optimizer [as 别名]
# 或者: from tensorflow.python.training.sync_replicas_optimizer import SyncReplicasOptimizer [as 别名]
def _check_no_sync_replicas_optimizer(optimizer):
  if isinstance(optimizer, sync_replicas_optimizer.SyncReplicasOptimizer):
    raise ValueError(
        'SyncReplicasOptimizer does not support multi optimizers case. '
        'Therefore, it is not supported in DNNLinearCombined model. '
        'If you want to use this optimizer, please use either DNN or Linear '
        'model.') 
开发者ID:PacktPublishing,项目名称:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda,代码行数:9,代码来源:dnn_linear_combined.py


注:本文中的tensorflow.python.training.sync_replicas_optimizer.SyncReplicasOptimizer方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。