tt-metal
TT-NN operator library, and TT-Metalium low level kernel programming model
What XERJ indexed
Selected work
“[Bug fix] cumsum: keep fp32 compensated cumsum at +-inf after an inf,…”. 3 files, 257 lines in tests, ttnn.
Licence
The repository
From GitHub's licence detection. A person still checks the LICENSE file at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-21. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
llamallmmetalstable-diffusiontenstorrentacceleratorscale-outkernels
Example questions
- How does tt-metal implement llama?
- What does ttnn do in tt-metal?
- Show the llm code in tt-metal.
The prompt
Paste it into your AI agent. It clones tenstorrent/tt-metal at the pinned commit and indexes it on your machine.
Search the GitHub repository tenstorrent/tt-metal with XERJ (https://hub.xerj.org/corpus/tenstorrent--tt-metal). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/tenstorrent/tt-metal tt-metal && git -C tt-metal checkout 65268cbdbf170a1662b0897e6b16a8c2997d195f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./tt-metal --url http://127.0.0.1:9200 --prefix tt-metal --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: Apache-2.0. Keep the copyright notice and credit the authors.
Related
K. WangAI, prompts and agents corporainstructorcontrolflowagentscopevllm-project/vllm-metalbojieli/ai-infra-bookunslothai/unsloth
Selected work and consent: the XERJ registry.