PyTorch Dynamo | Agent Skills Atlas

About this skill

Expert guidance for PyTorch Dynamo (torch.compile) development and debugging. Covers symbolic execution, VariableTracker system, pytree integration, guard failures, guard generation, FakeTensors, SymInts, symbolic shapes, dynamic shapes, C++ ATen ops, .size() vs .symsize(), .numel() vs .symnumel(), and bytecode tracing.

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Automated security scan: Partial

Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.

0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: b251efd5b379b985cfa6d798fbb277edf4a8c42cf76ec423b05cb5e54b6c15d8

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Original listing metadata

Original name

pytorch-dynamo

Original description

Expert guidance for PyTorch Dynamo (torch.compile) development and debugging. Covers symbolic execution, VariableTracker system, pytree integration, guard failures, guard generation, FakeTensors, SymInts, symbolic shapes, dynamic shapes, C++ ATen ops, .size() vs .sym_size(), .numel() vs .sym_numel(), and bytecode tracing.

About this listing

Category: Engineering
Reported license: Not specified
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.