mindspore.mint.nn.ConstantPad3d

class mindspore.mint.nn.ConstantPad3d(padding, value)[source]

Pad the last 3-D dimensions of input tensor using padding and value.

For more information, please refer to mindspore.mint.nn.functional.pad().

Warning

This is an experimental API that is subject to change or deletion.

Parameters

padding (Union[int, tuple, list]) –
Specifies padding size.
- If an int, pads all boundaries with the same amount.
- If a tuple or list, it should be in the order \((\text{padding_left}, \text{padding_right}, \text{padding_top}, \text{padding_bottom}, \\ \text{padding_front}, \text{padding_back})\).
value (Union[int, float]) – Specifies padding value.

Inputs:

input (Tensor) - The input tensor with shape \((N, *)\), where \(*\) means any number of additional dimensions.

Outputs:

Tensor, the tensor after padding.

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> x = mindspore.mint.ones((1, 2, 3, 4), dtype=mindspore.float32)
>>> padding = (1, 1, 0, 1, 1, 0)
>>> value = 0.5
>>> pad3d = mindspore.mint.nn.ConstantPad3d(padding, value)
>>> out = pad3d(x)
>>> print(out)
[[[[0.5 0.5 0.5 0.5 0.5 0.5]
   [0.5 0.5 0.5 0.5 0.5 0.5]
   [0.5 0.5 0.5 0.5 0.5 0.5]
   [0.5 0.5 0.5 0.5 0.5 0.5]]
  [[0.5 1.  1.  1.  1.  0.5]
   [0.5 1.  1.  1.  1.  0.5]
   [0.5 1.  1.  1.  1.  0.5]
   [0.5 0.5 0.5 0.5 0.5 0.5]]
  [[0.5 1.  1.  1.  1.  0.5]
   [0.5 1.  1.  1.  1.  0.5]
   [0.5 1.  1.  1.  1.  0.5]
   [0.5 0.5 0.5 0.5 0.5 0.5]]]]
>>> print(out.shape)
(1, 3, 4, 6)