toolkit/models/redux.py

import torch
import torch.nn as nn


class ReduxImageEncoder(torch.nn.Module):
    def __init__(
        self,
        redux_dim: int = 1152,
        txt_in_features: int = 4096,
        device=None,
        dtype=None,
    ) -> None:
        super().__init__()
        self.redux_dim = redux_dim
        self.device = device
        self.dtype = dtype
        self.redux_up = nn.Linear(redux_dim, txt_in_features * 3, dtype=dtype)
        self.redux_down = nn.Linear(
            txt_in_features * 3, txt_in_features, dtype=dtype)

    def forward(self, sigclip_embeds) -> torch.Tensor:
        x = self.redux_up(sigclip_embeds)
        x = torch.nn.functional.silu(x)
        
        projected_x = self.redux_down(x)
        return projected_x