forked from mindspore-Ecosystem/mindspore
36 lines
1.0 KiB
ReStructuredText
36 lines
1.0 KiB
ReStructuredText
|
|
mindspore.nn.Flatten
|
|||
|
|
====================
|
|||
|
|
|
|||
|
|
.. py:class:: mindspore.nn.Flatten
|
|||
|
|
|
|||
|
|
对输入Tensor的第0维的batch size之外的维度进行展平操作。
|
|||
|
|
|
|||
|
|
**输入:**
|
|||
|
|
|
|||
|
|
- **x** (Tensor) - 要展平的输入Tensor。shape为 :math:`(N,*)`,其中 :math:`*` 表示任意的附加维度数。数据类型为Number。
|
|||
|
|
|
|||
|
|
**输出:**
|
|||
|
|
|
|||
|
|
Tensor,shape为 :math:`(N,X)`,其中 :math:`X` 是输入 `x` 的shape除N之外的其余维度的乘积。
|
|||
|
|
|
|||
|
|
**异常:**
|
|||
|
|
|
|||
|
|
**TypeError** - `x` 不是Tensor。
|
|||
|
|
|
|||
|
|
**支持平台:**
|
|||
|
|
|
|||
|
|
``Ascend`` ``GPU`` ``CPU``
|
|||
|
|
|
|||
|
|
**样例:**
|
|||
|
|
|
|||
|
|
>>> x = Tensor(np.array([[[1.2, 1.2], [2.1, 2.1]], [[2.2, 2.2], [3.2, 3.2]]]), mindspore.float32)
|
|||
|
|
>>> net = nn.Flatten()
|
|||
|
|
>>> output = net(x)
|
|||
|
|
>>> print(output)
|
|||
|
|
[[1.2 1.2 2.1 2.1]
|
|||
|
|
[2.2 2.2 3.2 3.2]]
|
|||
|
|
>>> print(f"Before flatten the x shape is {x.shape}.")
|
|||
|
|
展平前x的shape为(2, 2, 2).
|
|||
|
|
>>> print(f"After flatten the output shape is {output.shape}.")
|
|||
|
|
展平后输出的shape为(2, 4).
|
|||
|
|
|