本文整理汇总了Python中tensorflow.python.ops.gen_math_ops._add_n方法的典型用法代码示例。如果您正苦于以下问题：Python gen_math_ops._add_n方法的具体用法？Python gen_math_ops._add_n怎么用？Python gen_math_ops._add_n使用的例子？那么, 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.ops.gen_math_ops的用法示例。
在下文中一共展示了gen_math_ops._add_n方法的1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: add_n
# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import _add_n [as 别名]
def add_n(inputs, name=None):
"""Adds all input tensors element-wise.
Args:
inputs: A list of `Tensor` objects, each with same shape and type.
name: A name for the operation (optional).
Returns:
A `Tensor` of same shape and type as the elements of `inputs`.
Raises:
ValueError: If `inputs` don't all have same shape and dtype or the shape
cannot be inferred.
"""
if not inputs or not isinstance(inputs, (list, tuple)):
raise ValueError("inputs must be a list of at least one Tensor with the "
"same dtype and shape")
inputs = ops.convert_n_to_tensor_or_indexed_slices(inputs)
if not all(isinstance(x, ops.Tensor) for x in inputs):
raise ValueError("inputs must be a list of at least one Tensor with the "
"same dtype and shape")
if len(inputs) == 1:
if name:
return array_ops.identity(inputs[0], name=name)
return inputs[0]
return gen_math_ops._add_n(inputs, name=name)