swanlab convert
bash
swanlab convert [OPTIONS]| Option | Description |
|---|---|
-t, --type | Select the conversion type, options include tensorboard, wandb, mlflow, wandb-local, default is tensorboard. |
-p, --project | Set the SwanLab project name for the conversion, default is None. |
-w, --workspace | Set the workspace where the SwanLab project is located, default is None. |
--mode | Set the SwanLab logging mode, options include online, local, offline, disabled, default is online. |
-l, --logdir | Set the log file save path for the SwanLab project, default is None. |
--tb-log-dir | Path to the TensorBoard log files (tfevent) to be converted. |
--tb-types | The types of TensorBoard logs to convert, options include scalar, image, audio, text, default is scalar; separate multiple types with commas. |
--wb-project | Name of the W&B project to be converted. |
--wb-entity | Entity where the W&B project to be converted is located. |
--wb-runid | ID of the W&B Run to be converted. |
--wb-dir | Directory where the W&B local log files are stored, default is ./wandb. |
--wb-run-dir | The specific W&B local run directory name; if omitted, all runs under --wb-dir will be converted. |
--mlflow-url | The tracking URL of the MLflow server, default is http://127.0.0.1:5000. |
--mlflow-exp | The name or ID of the MLflow experiment to be converted (required). |
--mlflow-runid | ID of a specific MLflow Run to be converted. |
--resume | Resume mode: uses the source Run ID as the SwanLab Run ID for resuming; must be used together with --wb-runid. |
Introduction
Convert content from other logging tools into SwanLab projects.
Supported tools for conversion include: TensorBoard, Weights & Biases, MLflow.
Usage Examples
TensorBoard
Weights & Biases
Integration - Weights & Biases