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Update 第二章 Transformer架构.md

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Logan Zou
2025-06-23 10:50:16 +08:00
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parent bd3fb6cf48
commit 185a212acd
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docs/chapter2/第二章 Transformer架构.md
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@@ -266,7 +266,7 @@ class MultiHeadAttention(nn.Module):
self.wq = nn.Linear(args.dim, args.n_heads * self.head_dim, bias=False) self.wq = nn.Linear(args.dim, args.n_heads * self.head_dim, bias=False)
self.wk = nn.Linear(args.dim, args.n_heads * self.head_dim, bias=False) self.wk = nn.Linear(args.dim, args.n_heads * self.head_dim, bias=False)
self.wv = nn.Linear(args.dim, args.n_heads * self.head_dim, bias=False) self.wv = nn.Linear(args.dim, args.n_heads * self.head_dim, bias=False)
# 输出权重矩阵，维度为 n_embd x n_embd（head_dim = n_embeds / n_heads） # 输出权重矩阵，维度为 dim x n_embd（head_dim = n_embeds / n_heads）
self.wo = nn.Linear(args.n_heads * self.head_dim, args.dim, bias=False) self.wo = nn.Linear(args.n_heads * self.head_dim, args.dim, bias=False)
# 注意力的 dropout # 注意力的 dropout
self.attn_dropout = nn.Dropout(args.dropout) self.attn_dropout = nn.Dropout(args.dropout)