ttnn
OfficialTTNN: Fast tensor ops on Tenstorrent hardware.
Authortenstorrent
Version1.0.0
Installs0
System Documentation
What problem does it solve?
TTNN provides high-performance tensor primitives and device management on Tenstorrent hardware, enabling efficient ML workloads and model conversions.
Core Features & Use Cases
- High-level TTNN APIs for tensor creation, manipulation, and movement across MeshDevice topologies.
- Multi-device execution across MeshDevice topologies with memory configurations.
- Model conversion utilities from PyTorch to TTNN compatible formats for accelerated inference.
- Integration with TT-Metal stack for MLIR pipelines and TT kernels.
Quick Start
Initialize TTNN on a device, convert a PyTorch tensor to TTNN, and execute a simple tensor operation on a MeshDevice.
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: ttnn Download link: https://github.com/tenstorrent/tt-forge/archive/main.zip#ttnn Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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