🛡️ Inference Mode Visualizer

torch.no_grad() raises a real shield around the graph — no backward graph gets built while it's up.

📋 How To Use This Lab
  1. Flip the Context Manager switch to enter with torch.no_grad():.
  2. Watch the shield rise — edges stop tracking, and grad_fn disappears from every node.
  3. Watch the memory meter drop — no graph means no autograd bookkeeping to store.
  4. Flip it back off — the graph resumes tracking exactly like before.
Warden 🛡️ torch.no_grad() ACTIVE Autograd Memory Overhead
Context Manager
Tracking (default)
with torch.no_grad():
🤖 WARDENFlip the switch — I'll raise a shield that stops PyTorch from building any backward graph while it's up.
🧑‍🏫 PROF. TORCHno_grad() is for inference — you get the same forward values, but PyTorch skips all the bookkeeping needed for backward().