Dynamic vs Static: Computation Graphs in PyTorch and JAX
Updated on November 26, 2025 7 minutes read
Frequently Asked Questions
How do I visualise a JAX graph?
Use jax.make_jaxpr to inspect the traced program as text, or export via jax2tf and open the resulting graph in TensorBoard for a visual view.
Is JAX always faster than PyTorch 2 with torch? compile?
No. On many NVIDIA GPU workloads, they trade benchmarks. Performance depends on shapes, kernels, and how much of the graph the compiler can fuse, so you should measure your own models.
Can I convert PyTorch models to JAX?
A common approach is to export a PyTorch model to ONNX and then import it with jax.experimental.onnx. You will usually need some manual adjustment for custom layers and complex control flow.