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from torch import nn
class DepthWiseConv2d(nn.Module):
def __init__(self, dim_in, dim_out, kernel_size, padding=0, stride=1, bias=True):
super().__init__()
self.net = nn.Sequential(
nn.Conv2d(
dim_in,
dim_in,
kernel_size=kernel_size,
padding=padding,
groups=dim_in,
stride=stride,
bias=bias,
),
nn.Conv2d(dim_in, dim_out, kernel_size=1, bias=bias),
)
def forward(self, x):
return self.net(x)
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