From 0efc87352ce7d3903dbdedbfa5d01ca5e1cb19e7 Mon Sep 17 00:00:00 2001
From: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
Date: 星期四, 05 十二月 2024 15:15:38 +0800
Subject: [PATCH] Merge pull request #2267 from modelscope/dev_sx2
---
funasr/models/transformer/layer_norm.py | 25 +++++++------------------
1 files changed, 7 insertions(+), 18 deletions(-)
diff --git a/funasr/models/transformer/layer_norm.py b/funasr/models/transformer/layer_norm.py
index 8683230..ce4f887 100644
--- a/funasr/models/transformer/layer_norm.py
+++ b/funasr/models/transformer/layer_norm.py
@@ -36,11 +36,7 @@
"""
if self.dim == -1:
return super(LayerNorm, self).forward(x)
- return (
- super(LayerNorm, self)
- .forward(x.transpose(self.dim, -1))
- .transpose(self.dim, -1)
- )
+ return super(LayerNorm, self).forward(x.transpose(self.dim, -1)).transpose(self.dim, -1)
class GlobalLayerNorm(nn.Module):
@@ -97,10 +93,7 @@
mean = torch.mean(x, (1, 2), keepdim=True)
var = torch.mean((x - mean) ** 2, (1, 2), keepdim=True)
if self.elementwise_affine:
- x = (
- self.weight * (x - mean) / torch.sqrt(var + self.eps)
- + self.bias
- )
+ x = self.weight * (x - mean) / torch.sqrt(var + self.eps) + self.bias
else:
x = (x - mean) / torch.sqrt(var + self.eps)
@@ -108,10 +101,7 @@
mean = torch.mean(x, (1, 2, 3), keepdim=True)
var = torch.mean((x - mean) ** 2, (1, 2, 3), keepdim=True)
if self.elementwise_affine:
- x = (
- self.weight * (x - mean) / torch.sqrt(var + self.eps)
- + self.bias
- )
+ x = self.weight * (x - mean) / torch.sqrt(var + self.eps) + self.bias
else:
x = (x - mean) / torch.sqrt(var + self.eps)
return x
@@ -165,13 +155,12 @@
class ScaleNorm(nn.Module):
- def __init__(self, dim, eps = 1e-5):
+ def __init__(self, dim, eps=1e-5):
super().__init__()
- self.scale = dim ** -0.5
+ self.scale = dim**-0.5
self.eps = eps
self.g = nn.Parameter(torch.ones(1))
def forward(self, x):
- norm = torch.norm(x, dim = -1, keepdim = True) * self.scale
- return x / norm.clamp(min = self.eps) * self.g
-
+ norm = torch.norm(x, dim=-1, keepdim=True) * self.scale
+ return x / norm.clamp(min=self.eps) * self.g
--
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