# tensorplay.nn.functional.conv1d

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.functional.conv1d.html

# tensorplay.nn.functional.conv1d

tensorplay.nn.functional.conv1d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1)[[source]](../_modules/tensorplay/nn/functional.html#conv1d)

Applies a 1D convolution over an input signal composed of several input planes.

See Conv1d for details and output shape.

Parameters:

- input – input tensor of shape \((\text{minibatch} , \text{in\_channels} , iW)\)

- weight – filters of shape \((\text{out\_channels} , \frac{\text{in\_channels}}{\text{groups}} , kW)\)

- bias – optional bias of shape \((\text{out\_channels})\) . Default: None

- stride – the stride of the convolving kernel. Can be a single number or a one-element tuple (sW,) . Default: 1

- padding – implicit paddings on both sides of the input. Can be a single number or a one-element tuple (padW,) . Default: 0

- dilation – the spacing between kernel elements. Can be a single number or a one-element tuple (dW,) . Default: 1

- groups – split input into groups, \(\text{in\_channels}\) should be divisible by the number of groups. Default: 1

Examples:

```
>>> inputs = tp.randn(33, 16, 30)
>>> filters = tp.randn(20, 16, 5)
>>> F.conv1d(inputs, filters)
```