pytorch/torchdynamo
A Python-level JIT compiler designed to make unmodified PyTorch programs faster. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1825
- days_rel: n/a
- days_push: 868
- n_releases_24m: 0
Adoption not part of the score
1078 stars · 128 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
TorchDynamo is a Python-level JIT compiler that speeds up unmodified PyTorch programs by capturing Python bytecode into FX graphs. The project has been merged into PyTorch itself as torch._dynamo, and this standalone repository is archived.
Use cases
- speed up unmodified pytorch models with a jit compiler
- capture pytorch python code into fx graphs for optimization
- accelerate deep learning training and inference without code changes
- compile pytorch models ahead of deployment for faster execution
When to choose
- you want to accelerate existing PyTorch code with torch.compile in modern PyTorch releases
- you need graph capture of Python bytecode for ML compiler research
When to avoid
- you are starting a new project - use torch._dynamo / torch.compile bundled with PyTorch instead
- you need a standalone pip-installable torchdynamo package with active support
Facets
library · maturity maintenance
compiler machine-learning deep-learning llm-training machine-learning deep-learning compilers performance python cross-platform jit-compiler pytorch graph-capture merged-into-pytorch archived-repo gpu
2 sources
- readme: https://github.com/pytorch/torchdynamo · fetched 2026-08-28 · ea69daca994b
- registry_pypi: https://pypi.org/pypi/torchdynamo/json · fetched 2026-08-29 · e3a452ad7d9e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pytorch/torchdynamo | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="pytorch/torchdynamo")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem