multiheadattention源码

MultiheadAttention是PyTorch中的一个类，可以在\site-packages\torch\nn\modules\activation.py文件中找到它的定义。该类在多头注意力机制中起到关键作用，实现了对输入序列的查询、键和值的处理。具体而言，它使用了_in_projection_packed函数、_scaled_dot_product_attention函数和multi_head_attention_forward函数来实现多头注意力的计算过程。你可以参考官方文档以及前述博客中对MultiheadAttention类的解读来更详细地了解该源码的实现细节。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [MultiHeadAttention的代码实现](https://blog.csdn.net/qq_43851311/article/details/131648988)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [Transformer实现以及Pytorch源码解读（五）-多头注意力机制MultiheadAttention](https://blog.csdn.net/weixin_41806489/article/details/128422420)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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