本文整理匯總了Python中tensorflow.python.ops.state_ops.count_up_to方法的典型用法代碼示例。如果您正苦於以下問題：Python state_ops.count_up_to方法的具體用法？Python state_ops.count_up_to怎麽用？Python state_ops.count_up_to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.ops.state_ops的用法示例。
在下文中一共展示了state_ops.count_up_to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: count_up_to
# 需要導入模塊: from tensorflow.python.ops import state_ops [as 別名]
# 或者: from tensorflow.python.ops.state_ops import count_up_to [as 別名]
def count_up_to(self, limit):
"""Increments this variable until it reaches `limit`.
When that Op is run it tries to increment the variable by `1`. If
incrementing the variable would bring it above `limit` then the Op raises
the exception `OutOfRangeError`.
If no error is raised, the Op outputs the value of the variable before
the increment.
This is essentially a shortcut for `count_up_to(self, limit)`.
Args:
limit: value at which incrementing the variable raises an error.
Returns:
A `Tensor` that will hold the variable value before the increment. If no
other Op modifies this variable, the values produced will all be
distinct.
"""
return state_ops.count_up_to(self._variable, limit=limit) 示例2: count_up_to
# 需要導入模塊: from tensorflow.python.ops import state_ops [as 別名]
# 或者: from tensorflow.python.ops.state_ops import count_up_to [as 別名]
def count_up_to(self, limit):
"""Increments this variable until it reaches `limit`.
When that Op is run it tries to increment the variable by `1`. If
incrementing the variable would bring it above `limit` then the Op raises
the exception `OutOfRangeError`.
If no error is raised, the Op outputs the value of the variable before
the increment.
This is essentially a shortcut for `count_up_to(self, limit)`.
Args:
limit: value at which incrementing the variable raises an error.
Returns:
A `Tensor` that will hold the variable value before the increment. If no
other Op modifies this variable, the values produced will all be
distinct.
"""
return state_ops.count_up_to(self._variable, limit=limit)
# Conversion to tensor.