reading-attributes
OfficialTurn USD prim attributes into tensors.
AuthorNVIDIA-Omniverse
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Reading scalar or array attributes from prims into CPU or GPU tensors to enable analysis and processing in downstream steps.
Core Features & Use Cases
- Read single values or arrays from prims, returning DLPack tensors compatible with NumPy, PyTorch, Warp, and other frameworks.
- Support for reading common USD data types (bool, int, float, point3f, matrix4d, etc.), with explicit guidance on shapes and semantics.
- Use cases include inspecting mesh data, render settings, or transforms as part of data pipelines for simulation, rendering, or validation.
Quick Start
Call read_attribute with a target prim path and attribute name to fetch a scalar or per-prim array and convert the result to a tensor.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: reading-attributes Download link: https://github.com/NVIDIA-Omniverse/ovrtx/archive/main.zip#reading-attributes Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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