Do RMSNorm in native type.
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@ -63,10 +63,8 @@ class RMSNorm(torch.nn.Module):
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self.scale = nn.Parameter(torch.empty((dim), dtype=dtype, device=device))
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def forward(self, x: Tensor):
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x_dtype = x.dtype
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x = x.float()
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rrms = torch.rsqrt(torch.mean(x**2, dim=-1, keepdim=True) + 1e-6)
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return (x * rrms).to(dtype=x_dtype) * comfy.ops.cast_to(self.scale, dtype=x_dtype, device=x.device)
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return (x * rrms) * comfy.ops.cast_to(self.scale, dtype=x.dtype, device=x.device)
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class QKNorm(torch.nn.Module):
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