Search — training-infra
Issues
7 matches- github:NVIDIA/warp5/13/2026crashes-stability
Warp may retain discarded temporary modules when repeatedly declaring equivalent `@wp.kernel(module="unique")` kernels. This can keep Python object graphs reachable and grow memory over repeated factory calls.
warpmemory-leakkernelspythoncompiler-cachetraining-infra - github:newton-physics/newton5/13/2026training-infra
Newton wants reusable automation to run a release-candidate validation matrix (OS, Python, CUDA/driver, etc.) for sign-off. Today this is tracked and run manually; they want a consistent launch and reporting workflow for RC branches/tags/commits.
newton-physicsrelease-engineeringrc-testingtest-matrixcudadriversautomation - github:isaac-sim/IsaacLab5/12/2026training-infra
Proposal to integrate DiffRL into IsaacLab via an isaaclab_diffrl extension and the Mineral algorithm library. It targets the Direct workflow and Newton (Warp) backend to enable end-to-end backprop through physics for algorithms like SHAC and APG/BPTT.
rlintegrationisaac-simisaac-labnewtonwarp - github:newton-physics/newton5/11/2026training-infra
Kamino examples were added but are missing required README entries and screenshots on the release branch. This reduces discoverability and fails documented contribution requirements.
rlmanipulationnewton - github:isaac-sim/IsaacLab5/9/2026training-infrarlrenderinghardwaredocsintegrationisaac-simisaac-lab
- github:isaac-sim/IsaacSim5/8/2026training-infrarlusdrenderinghardwaredeploymentlocomotionisaac-simunitree
- github:newton-physics/newton5/8/2026training-infrarlhardwareisaac-labwarp