File size: 598 Bytes
01fdb75 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class Embed(nn.Module):
def __init__(
self,
in_chans: int = 3,
embed_dim: int = 768,
norm_layer = None,
bias: bool = True,
):
super().__init__()
self.in_chans = in_chans
self.embed_dim = embed_dim
self.proj = nn.Linear(in_chans, embed_dim, bias=bias)
self.norm = norm_layer(embed_dim) if norm_layer else nn.Identity()
def forward(self, x):
x = self.proj(x)
x = self.norm(x)
return x |