ovphysx

ovphysx is a self-contained Python library for ovstage/USD-based physics simulation with Warp-array output and downstream DLPack interoperability. It wraps NVIDIA PhysX and provides:

• ovstage attachment plus rigid-body / articulation simulation
• Same-device warp.array output on CPU and CUDA through PhysX.read() / read_tokens()
• Downstream zero-copy framework interoperability through Warp's DLPack support
• Environment cloning for batched reinforcement-learning workloads

Quick start

pip install ovphysx

from pathlib import Path

import ovphysx
import ovstage
from ovphysx import PhysX

usd_path = (
    Path(ovphysx.__file__).resolve().parent
    / "samples"
    / "data"
    / "simple_physics_scene.usda"
)
if not usd_path.is_file():
    raise FileNotFoundError(f"ovphysx sample data is missing: {usd_path}")

# ovphysx ships its PhysX USD schemas as codeless resources and never registers
# them itself; register them with ovstage before the first population call.
ovstage.population.register_usd_schemas([str(ovphysx.codeless_schema_root())])
stage = ovstage.Stage("scene")
ovstage.population.open_usd(
    stage, str(usd_path), ordinal=1, domains=ovstage.PopulationDomain.PHYSICS
)
# attach_ovstage() reads at a sealed ordinal.
stage.advance_write_floor(ordinal=1).wait()

physx = PhysX()
physx.attach_ovstage(stage, read_ordinal=1)
physx.step_sync(1.0 / 60.0)
physx.detach_ovstage()
physx.destroy()
stage.destroy()

For full documentation and tutorials, see ovphysx/docs/ inside the installed package, or the ovphysx repository.