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