本文整理匯總了Python中tensorflow.python.lib.io.file_io.stat方法的典型用法代碼示例。如果您正苦於以下問題：Python file_io.stat方法的具體用法？Python file_io.stat怎麽用？Python file_io.stat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.python.lib.io.file_io的用法示例。
在下文中一共展示了file_io.stat方法的1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: get_checkpoint_mtimes
# 需要導入模塊: from tensorflow.python.lib.io import file_io [as 別名]
# 或者: from tensorflow.python.lib.io.file_io import stat [as 別名]
def get_checkpoint_mtimes(checkpoint_prefixes):
"""Returns the mtimes (modification timestamps) of the checkpoints.
Globs for the checkpoints pointed to by `checkpoint_prefixes`. If the files
exist, collect their mtime. Both V2 and V1 checkpoints are considered, in
that priority.
This is the recommended way to get the mtimes, since it takes into account
the naming difference between V1 and V2 formats.
Args:
checkpoint_prefixes: a list of checkpoint paths, typically the results of
`Saver.save()` or those of `tf.train.latest_checkpoint()`, regardless of
sharded/non-sharded or V1/V2.
Returns:
A list of mtimes (in microseconds) of the found checkpoints.
"""
mtimes = []
def match_maybe_append(pathname):
fnames = file_io.get_matching_files(pathname)
if fnames:
mtimes.append(file_io.stat(fnames[0]).mtime_nsec / 1e9)
return True
return False
for checkpoint_prefix in checkpoint_prefixes:
# Tries V2's metadata file first.
pathname = _prefix_to_checkpoint_path(checkpoint_prefix,
saver_pb2.SaverDef.V2)
if match_maybe_append(pathname):
continue
# Otherwise, tries V1, where the prefix is the complete pathname.
match_maybe_append(checkpoint_prefix)
return mtimes