外卖小哥、数据标注员，他们很多时候甚至不知道自己的老板是谁，只面对一个发号施令的系统。如何及时将稳定发展的新工种纳入国家职业分类，如何深化职业伤害保障试点，去探索出一条适应灵活就业特点的社会保险参保缴费办法，也是我们未来需要考虑的。
一名「屁股不歪」的前端工程师——
By default, freeing memory in CUDA is expensive because it does a GPU sync. Because of this, PyTorch avoids freeing and mallocing memory through CUDA, and tries to manage it itself. When blocks are freed, the allocator just keeps them in their own cache. The allocator can then use the free blocks in the cache when something else is allocated. But if these blocks are fragmented and there isn’t a large enough cache block and all GPU memory is already allocated, PyTorch has to free all the allocator cached blocks then allocate from CUDA, which is a slow process. This is what our program is getting blocked by. This situation might look familiar if you’ve taken an operating systems class.，详情可参考新收录的资料
Integrity hashes: Opt-in。关于这个话题，新收录的资料提供了深入分析