depthwise_conv2d¶
dragon.vm.torch.nn.functional.depthwise_conv2d(
input,
weight,
bias=None,
stride=1,
padding=0,
dilation=1
)[source]¶Apply the 2d depthwise 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 (Sequence[int], default=1) – The stride of convolution window.
- padding (Sequence[int], default=0) – The zero padding size.
- dilation (Sequence[int], default=1) – The rate of dilated kernel.
- Returns:
dragon.vm.torch.Tensor – The output tensor.
See also