Cloud Computing 5 min read

TI-ONE Platform FAQ: Managing Notebook Instances, Switching Resources, and Resolving Common Issues

This FAQ summarizes practical guidance for participants of the 2021 Tencent Advertising Algorithm Competition on using the TI-ONE cloud notebook platform, covering instance initialization, resource switching, data handling, common errors, and Git integration.

Tencent Advertising Technology
Tencent Advertising Technology
Tencent Advertising Technology
TI-ONE Platform FAQ: Managing Notebook Instances, Switching Resources, and Resolving Common Issues

During the live broadcast on May 11, Tencent Cloud engineers presented best practices for the TI-ONE competition platform and answered participants' questions, which are compiled here as a concise FAQ.

Q1: After creating a TI‑Notebook instance and running ./init.sh run , the baseline conda environment and Jupyter kernel become incorrect after a restart. Solution: The system disk is cleared on stop; use the provided ./run.sh fix script to restore the environment (see the script for details).

Q2: How to switch a notebook instance from CPU to GPU resources and retain data? Solution: In the TI‑ONE Notebook management page, stop the running instance, click Edit , and change the hardware type (CPU ↔ GPU), adjust data‑disk size, lifecycle scripts, and other settings. Data on the data disk persists.

Q3: Where are the competition data and baseline code located, and why does a “Read‑only file system” error appear? Solution: Both the dataset and baseline code reside on a read‑only shared disk mounted at /home/tione/notebook/algo-2021/ . The read‑only nature requires participants to copy data and code to their writable data disk after instance startup, which typically takes about one hour. Example copy commands: time cp -r -d /home/tione/notebook/algo-2021/baseline/dataset /home/tione/notebook/ time cp -r -d /home/tione/notebook/algo-2021/baseline/structuring/* /home/tione/notebook/

Q4: Why does mmcv installation fail when running ./init.sh run for Track 1? Solution: The failure is due to a missing trusted host. Install with: pip install mmcv==1.0.3 -i http://mirrors.tencentyun.com/pypi/simple --trusted-host mirrors.tencentyun.com The script has been updated; using the latest ./init.sh run resolves the issue.

Q5: How to add a Git repository to the notebook, and why does configuration fail during creation? Solution: Pulling a Git repository can time out; it is recommended not to configure Git at instance creation. After the instance is ready, use the Notebook’s built‑in Git plugin to clone or manage repositories.

Participants can request replay PPTs by sending “直播” to the public account, and the competition registration remains open until June 4.

GPUdata managementAI competitionFAQTI-ONEcloud notebook
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