本文整理汇总了Python中tensorflow.python.training.training_util.assert_global_step方法的典型用法代码示例。如果您正苦于以下问题：Python training_util.assert_global_step方法的具体用法？Python training_util.assert_global_step怎么用？Python training_util.assert_global_step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类tensorflow.python.training.training_util的用法示例。
在下文中一共展示了training_util.assert_global_step方法的3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: assert_or_get_global_step
# 需要导入模块: from tensorflow.python.training import training_util [as 别名]
# 或者: from tensorflow.python.training.training_util import assert_global_step [as 别名]
def assert_or_get_global_step(graph=None, global_step_tensor=None):
"""Verifies that a global step tensor is valid or gets one if None is given.
If `global_step_tensor` is not None, check that it is a valid global step
tensor (using `assert_global_step`). Otherwise find a global step tensor using
`get_global_step` and return it.
Args:
graph: The graph to find the global step tensor for.
global_step_tensor: The tensor to check for suitability as a global step. If
None is given (the default), find a global step tensor.
Returns:
A tensor suitable as a global step, or `None` if none was provided and none
was found.
"""
if global_step_tensor is None:
# Get the global step tensor the same way the supervisor would.
global_step_tensor = get_global_step(graph)
else:
assert_global_step(global_step_tensor)
return global_step_tensor 示例2: assert_or_get_global_step
# 需要导入模块: from tensorflow.python.training import training_util [as 别名]
# 或者: from tensorflow.python.training.training_util import assert_global_step [as 别名]
def assert_or_get_global_step(graph=None, global_step_tensor=None):
"""Verifies that a global step tensor is valid or gets one if None is given.
If `global_step_tensor` is not None, check that it is a valid global step
tensor (using `assert_global_step`). Otherwise find a global step tensor using
`get_global_step` and return it.
Args:
graph: The graph to find the global step tensor for.
global_step_tensor: The tensor to check for suitability as a global step.
If None is given (the default), find a global step tensor.
Returns:
A tensor suitable as a global step, or `None` if none was provided and none
was found.
"""
if global_step_tensor is None:
# Get the global step tensor the same way the supervisor would.
global_step_tensor = get_global_step(graph)
else:
assert_global_step(global_step_tensor)
return global_step_tensor 示例3: assert_global_step
# 需要导入模块: from tensorflow.python.training import training_util [as 别名]
# 或者: from tensorflow.python.training.training_util import assert_global_step [as 别名]
def assert_global_step(global_step_tensor):
training_util.assert_global_step(global_step_tensor)