PyTorch's profiling guide dives deep into optimizing `nn.Linear` and fused MLPs. This second part explores how to analyze performance bottlenecks and implement fused kernels for significant speedups, crucial for training large models efficiently. Developers gain actionable insights into lowering latency and increasing throughput in their PyTorch workflows.
Opening Kapyn…