torch和torch

引用和介绍了torch.Tensor()和torch.tensor()的区别。torch.Tensor()是一个类，而torch.tensor()是一个函数。torch.Tensor()可以接受多种类型的数据作为输入，包括list、tuple、array、scalar等。而torch.tensor()可以从数据输入中做拷贝，并根据原始数据类型生成相应的torch.LongTensor、torch.FloatTensor、torch.DoubleTensor。举例来说，当输入是[1, 2]时，torch.tensor()将生成一个torch.LongTensor，而当输入是[1., 2.]时，torch.tensor()将生成一个torch.FloatTensor。同时，可以使用torch.tensor()将numpy数组转换为相应类型的torch tensor。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [torch.tensor和torch.Tensor的区别](https://blog.csdn.net/qq_36930266/article/details/104602792)[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* *3* [torch.Tensor和torch.tensor的区别](https://blog.csdn.net/weixin_42018112/article/details/91383574)[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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