本文整理匯總了Python中tensorflow.contrib.training.checkpoints_iterator方法的典型用法代碼示例。如果您正苦於以下問題：Python training.checkpoints_iterator方法的具體用法？Python training.checkpoints_iterator怎麽用？Python training.checkpoints_iterator使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.contrib.training的用法示例。
在下文中一共展示了training.checkpoints_iterator方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: ckpt_iterator
# 需要導入模塊: from tensorflow.contrib import training [as 別名]
# 或者: from tensorflow.contrib.training import checkpoints_iterator [as 別名]
def ckpt_iterator(checkpoint_dir, min_interval_secs=0, timeout=None, timeout_fn=None, logger=None):
for ckpt_path in checkpoints_iterator(checkpoint_dir, min_interval_secs, timeout, timeout_fn):
if Path(ckpt_path).suffix == const.CKPT_EXTENSION:
if logger is not None:
logger.info(f"[skip] {ckpt_path}")
else:
yield ckpt_path 示例2: ckpt_iterator
# 需要導入模塊: from tensorflow.contrib import training [as 別名]
# 或者: from tensorflow.contrib.training import checkpoints_iterator [as 別名]
def ckpt_iterator(checkpoint_dir, min_interval_secs=0, timeout=None, timeout_fn=None, logger=None):
for ckpt_path in checkpoints_iterator(checkpoint_dir, min_interval_secs, timeout, timeout_fn):
yield ckpt_path