File size: 507 Bytes
8a06b33 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | import torch
class LayerNorm(torch.nn.Module):
def __init__(self, channels: int, eps: float = 1e-5):
super().__init__()
self.eps = eps
self.gamma = torch.nn.Parameter(torch.ones(channels))
self.beta = torch.nn.Parameter(torch.zeros(channels))
def forward(self, x):
x = x.transpose(1, -1)
x = torch.nn.functional.layer_norm(
x, (x.size(-1),), self.gamma, self.beta, self.eps
)
return x.transpose(1, -1)
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