Profiling Attention Mechanisms in PyTorch: A Deep Dive
This article explores the nuances of profiling attention mechanisms in PyTorch, highlighting the efficiency of in-place operations and the complexities of different backends.
Tag PyTorch
Exploring Profiling in PyTorch: A Beginner’s Guide to torch.profiler
Profiling is essential for optimizing performance in deep learning. This article introduces the torch.profiler module in PyTorch, guiding users through its capabilities and practical applications.
Empowering Coding Agents with Custom CUDA Kernels
A new agent skill enables coding agents to create production-ready CUDA kernels, enhancing performance for specialized tasks in AI models.
