mindspore/docs/api/api_python/nn/mindspore.nn.GLU.rst

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mindspore.nn.GLU
=================
.. py:class:: mindspore.nn.GLU(axis=-1)
门线性单元函数Gated Linear Unit function
.. math::
{GLU}(a, b)= a \otimes \sigma(b)
其中,:math:`a` 表示输入Tensor的前一半元素:math:`b` 表示输入Tensor的另一半元素。
这里 :math:`\sigma` 为sigmoid函数:math:`*` 为矩阵的基本乘。
参数:
- **axis** (int) - 指定分割轴。数据类型为整型,默认值:-1。
输入:
- **x** (Tensor) - Tensor的shape为 :math:`(\ast_1, N, \ast_2)`
输出:
Tensor数据类型与输入 `x` 相同shape等于 `x` 按照 `axis` 拆分后的一半。