pytorch chunk(8, 1)
时间: 2024-05-17 14:16:14 浏览: 3
根据引用,PyTorch的chunk方法的作用是对张量进行分块,返回一个张量列表。在这个例子中,chunk(8,1)的意思是将张量划分成8块,按照第一个维度进行操作。根据引用中的代码,我们可以看到在一个张量上应用chunk(3,1)的结果是将张量分成了3块,并分别打印出了每一块的内容。所以,根据这个例子,chunk(8,1)的结果应该是将张量分成了8块,并返回一个包含8个张量的列表。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [【深度学习】Pytorch chunk函数](https://blog.csdn.net/weixin_43838785/article/details/121770176)[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_2"}}] [.reference_item style="max-width: 50%"]
- *2* [pytorch.chunk](https://blog.csdn.net/qq_34848334/article/details/124972235)[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_2"}}] [.reference_item style="max-width: 50%"]
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