本文整理匯總了Python中tensorflow.python.training.training_util.assert_global_step方法的典型用法代碼示例。如果您正苦於以下問題：Python training_util.assert_global_step方法的具體用法？Python training_util.assert_global_step怎麽用？Python training_util.assert_global_step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.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: assert_or_get_global_step
# 需要導入模塊: from tensorflow.python.training import training_util [as 別名]
# 或者: from tensorflow.python.training.training_util import assert_global_step [as 別名]
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
# 需要導入模塊: from tensorflow.python.training import training_util [as 別名]
# 或者: from tensorflow.python.training.training_util import assert_global_step [as 別名]
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
# 需要導入模塊: from tensorflow.python.training import training_util [as 別名]
# 或者: from tensorflow.python.training.training_util import assert_global_step [as 別名]
def assert_global_step(global_step_tensor):
training_util.assert_global_step(global_step_tensor)