Method __init__

model/components.py:11–26

Initialize the RMSNorm normalization layer. Args: dim (int): The dimension of the input tensor. eps (float, optional): A small value added to the denominator for numerical stability. Default is 1e-6. Attributes: e

(self, dim: int, eps: float = 1e-6)

    class RMSNorm(torch.nn.Module):
        def __init__(self, dim: int, eps: float = 1e-6):
            """
            Initialize the RMSNorm normalization layer.

            Args:
                dim (int): The dimension of the input tensor.
                eps (float, optional): A small value added to the denominator for numerical stability. Default is 1e-6.

            Attributes:
                eps (float): A small value added to the denominator for numerical stability.
                weight (nn.Parameter): Learnable scaling parameter.

            """
            super().__init__()
            self.eps = eps
            self.weight = nn.Parameter(torch.ones(dim))

        def _norm(self, x):
            """