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hub / github.com/Meshcapade/difflocks / rms_norm

Function rms_norm

k_diffusion/models/modules.py:103–107  ·  view source on GitHub ↗
(x, scale, eps)

Source from the content-addressed store, hash-verified

101
102@flags.compile_wrap
103def rms_norm(x, scale, eps):
104 dtype = reduce(torch.promote_types, (x.dtype, scale.dtype, torch.float32))
105 mean_sq = torch.mean(x.to(dtype)**2, dim=-1, keepdim=True)
106 scale = scale.to(dtype) * torch.rsqrt(mean_sq + eps)
107 return x * scale.to(x.dtype)
108
109
110@flags.compile_wrap

Callers 2

forwardMethod · 0.85
forwardMethod · 0.85

Calls

no outgoing calls

Tested by

no test coverage detected