class oneflow.nn.ConstantPad3d(padding: Union[int, tuple, list], value: Union[int, float] = 0)

Pads the input tensor boundaries with a constant value. The interface is consistent with PyTorch, and referenced from: https://pytorch.org/docs/1.10/generated/torch.nn.ConstantPad3d.html.

For N-dimensional padding, use flow.nn.functional.pad().

Parameters
• padding (int, list, tuple) – the size of the padding. If is int, uses the same padding in all boundaries. If a 6-tuple, uses ($$\text{padding_left}$$, $$\text{padding_right}$$, $$\text{padding_top}$$, $$\text{padding_bottom}$$, $$\text{padding_front}$$, $$\text{padding_back}$$)

• value (int, float) – The constant value used for padding. Defaults to 0.

Shape:
• Input: $$(N, C, D_{in}, H_{in}, W_{in})$$

• Output: $$(N, C, D_{out}, H_{out}, W_{out})$$ where

$$D_{out} = D_{in} + \text{padding_front} + \text{padding_back}$$

$$H_{out} = H_{in} + \text{padding_top} + \text{padding_bottom}$$

$$W_{out} = W_{in} + \text{padding_left} + \text{padding_right}$$

Examples:

>>> import oneflow as flow
>>> import numpy as np

>>> input = flow.tensor(np.arange(8).reshape(1,1,2,2,2).astype(np.int32))
>>> output = m(input)
>>> output
tensor([[[[[9, 9, 9, 9],
[9, 9, 9, 9],
[9, 9, 9, 9],
[9, 9, 9, 9]],

[[9, 9, 9, 9],
[9, 0, 1, 9],
[9, 2, 3, 9],
[9, 9, 9, 9]],

[[9, 9, 9, 9],
[9, 4, 5, 9],
[9, 6, 7, 9],
[9, 9, 9, 9]],

[[9, 9, 9, 9],
[9, 9, 9, 9],
[9, 9, 9, 9],
[9, 9, 9, 9]]]]], dtype=oneflow.int32)

__init__(padding: Union[int, tuple, list], value: Union[int, float] = 0)

Initialize self. See help(type(self)) for accurate signature.

Methods

 __call__(*args, **kwargs) Call self as a function. __delattr__(name, /) Implement delattr(self, name). __dir__() Default dir() implementation. __eq__(value, /) Return self==value. __format__(format_spec, /) Default object formatter. __ge__(value, /) Return self>=value. __getattr__(name) __getattribute__(name, /) Return getattr(self, name). __gt__(value, /) Return self>value. __hash__() Return hash(self). __init__(padding[, value]) Initialize self. __init_subclass__ This method is called when a class is subclassed. __le__(value, /) Return self<=value. __lt__(value, /) Return self