torch-ext/rmsnorm_kernel/__init__.py

import torch
import torch.nn as nn

from ._ops import ops


class LlamaRMSNorm(nn.Module):
    weight: torch.Tensor
    variance_epsilon: float

    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
        return ops.rmsnorm_forward(
            hidden_states,
            self.weight,
            bias=None,
            residual=None,
            eps=self.variance_epsilon,
            dropout_p=0.0,
            prenorm=False,
            residual_in_fp32=False,
        )