conv1d

dragon.vm.torch.nn.functional.conv1d(
  input,
  weight,
  bias=None,
  stride=1,
  padding=0,
  dilation=1,
  groups=1
)[source]

Apply the 1d convolution to input.

Parameters:
  • input (dragon.vm.torch.Tensor) – The input tensor.
  • weight (dragon.vm.torch.Tensor) – The weight tensor.
  • bias (dragon.vm.torch.Tensor, optional) – The bias tensor.
  • stride (Union[int, Sequence[int]], optional, default=1) – The stride of convolution window.
  • padding (Union[int, Sequence[int]], optional, default=0) – The zero padding size.
  • dilation (Union[int, Sequence[int]], optional, default=1) – The rate of dilated kernel.
  • groups (int, optional, default=1) – The number of groups to split input channels.
Returns:

dragon.vm.torch.Tensor – The output tensor.