code/spec_rag/projector.py

from __future__ import annotations

import torch
import torch.nn as nn


class SpecProjector(nn.Module):
    def __init__(self, input_dim: int = 768, llm_dim: int = 4096):
        super().__init__()
        self.net = nn.Sequential(
            nn.Linear(input_dim, llm_dim),
            nn.GELU(),
            nn.Linear(llm_dim, llm_dim),
        )

    def forward(self, x: torch.Tensor) -> torch.Tensor:
        return self.net(x)