PyTorch 实现与追问
- 题目来源
- Devinterview 其中第 85—146 题的题目索引来自 Devinterview，答案由 AIMLInterviews 重新撰写；原文的 50 题补充部分在此收录为 62 道，含拆分追问。
Diagnose validation changes across identical runs.
原题Find a memory leak from retained graphs.
原题Check gradients numerically.
原题Verify identical predictions after checkpoint restoration.
原题What is PyTorch, and how does it differ from frameworks such as TensorFlow?
原题What are tensors in PyTorch?
原题What is the difference between a Tensor and a Variable?
原题How do you convert a NumPy array to a tensor?
原题What is the purpose of .grad?
原题What is CUDA, and how does it relate to PyTorch?
原题
暂无题目