lama / saicinpainting /training /modules /depthwise_sep_conv.py
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import torch
import torch.nn as nn
class DepthWiseSeperableConv(nn.Module):
def __init__(self, in_dim, out_dim, *args, **kwargs):
super().__init__()
if 'groups' in kwargs:
# ignoring groups for Depthwise Sep Conv
del kwargs['groups']
self.depthwise = nn.Conv2d(in_dim, in_dim, *args, groups=in_dim, **kwargs)
self.pointwise = nn.Conv2d(in_dim, out_dim, kernel_size=1)
def forward(self, x):
out = self.depthwise(x)
out = self.pointwise(out)
return out