bacow/happy-llm
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update 第二章 Transformer架构.md

Browse Source
This commit is contained in:
Logan Zou
2025-06-09 11:14:50 +08:00
committed by GitHub
parent 21fc6b7ac6
commit a3ad553943
1 changed files with 6 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
docs/chapter2/第二章 Transformer架构.md
View File

@@ -483,9 +483,9 @@ class EncoderLayer(nn.Module):
def forward(self, x): def forward(self, x):
# Layer Norm # Layer Norm
x = self.attention_norm(x) norm_x = self.attention_norm(x)
# 自注意力 # 自注意力
h = x + self.attention.forward(x, x, x) h = x + self.attention.forward(norm_x, norm_x, norm_x)
# 经过前馈神经网络 # 经过前馈神经网络
out = h + self.feed_forward.forward(self.fnn_norm(h)) out = h + self.feed_forward.forward(self.fnn_norm(h))
return out return out
@@ -533,12 +533,12 @@ class DecoderLayer(nn.Module):
def forward(self, x, enc_out): def forward(self, x, enc_out):
# Layer Norm # Layer Norm
x = self.attention_norm_1(x) norm_x = self.attention_norm_1(x)
# 掩码自注意力 # 掩码自注意力
x = x + self.mask_attention.forward(x, x, x) x = x + self.mask_attention.forward(norm_x, norm_x, norm_x)
# 多头注意力 # 多头注意力
x = self.attention_norm_2(x) norm_x = self.attention_norm_2(x)
h = x + self.attention.forward(x, enc_out, enc_out) h = x + self.attention.forward(norm_x, enc_out, enc_out)
# 经过前馈神经网络 # 经过前馈神经网络
out = h + self.feed_forward.forward(self.fnn_norm(h)) out = h + self.feed_forward.forward(self.fnn_norm(h))
return out return out