reference/code/Diffulex-mbd-lms/diffulex/layer/activation.py

import torch

import torch.nn as nn
import torch.nn.functional as F


class SiluAndMul(nn.Module):
    def __init__(self):
        super().__init__()

    @torch.compile
    def forward(self, x: torch.Tensor) -> torch.Tensor:
        x, y = x.chunk(2, -1)
        return F.silu(x) * y