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"""Convnext downsample module."""
from einops.layers.torch import Rearrange
from torch import Tensor, nn
class Downsample(nn.Module):
"""Downsamples feature maps by patches."""
def __init__(self, dim: int, dim_out: int) -> None:
super().__init__()
self.fn = nn.Sequential(
Rearrange("b c (h s1) (w s2) -> b (c s1 s2) h w", s1=2, s2=2),
nn.Conv2d(dim * 4, dim_out, 1),
)
def forward(self, x: Tensor) -> Tensor:
"""Applies patch function."""
return self.fn(x)
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