Files
dela 584f7e9e73 Initial K3 snapshot: 0.5B KDA/MLA/MoE train path
Standalone tree split from LLMRL/projects/kda. Includes Triton dt_bias
backward fix, train_k3 --preset 0.5b, SFT, Docker runtime, and tests.
2026-08-25 14:43:17 +08:00

18 lines
504 B
Python

"""RMSNorm used by attention, FFN, and the final LM stem."""
from __future__ import annotations
import torch
from torch import nn
class RMSNorm(nn.Module):
def __init__(self, dim: int, eps: float = 1e-6):
super().__init__()
self.weight = nn.Parameter(torch.ones(dim))
self.eps = eps
def forward(self, x: torch.Tensor):
dtype = x.dtype
x = x.float()
return (x * torch.rsqrt(x.square().mean(-1, keepdim=True) + self.eps)).to(dtype) * self.weight