#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# Copyright 2019 Shigeki Karita
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# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
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"""Layer normalization module."""
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import torch
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class LayerNorm(torch.nn.LayerNorm):
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"""Layer normalization module.
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Args:
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nout (int): Output dim size.
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dim (int): Dimension to be normalized.
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"""
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def __init__(self, nout, dim=-1):
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"""Construct an LayerNorm object."""
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super(LayerNorm, self).__init__(nout, eps=1e-12)
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self.dim = dim
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def forward(self, x):
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"""Apply layer normalization.
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Args:
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x (torch.Tensor): Input tensor.
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Returns:
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torch.Tensor: Normalized tensor.
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"""
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if self.dim == -1:
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return super(LayerNorm, self).forward(x)
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return (
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super(LayerNorm, self)
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.forward(x.transpose(self.dim, -1))
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.transpose(self.dim, -1)
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)
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