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examples/nemo_run/qat/ADVANCED.md

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@@ -8,15 +8,13 @@ To run the example on slurm, edit the `SLURM_CONFIG` at the bottom of `nemo_qat_
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To launch the Flow on a Slurm cluster, modify your Slurm credentials at the bottom of `nemo_qat_flow.py` and add the `--use-slurm` flag to the command. On a different server (e.g. your local server), launch the NeMo container as described in the [README](README.md) then run `python qat/nemo_qat_flow.py --use-slurm --log-dir /slurm/log/dir`, which will `ssh` into the Slurm cluster, `rsync` your files over, and launch the tasks. The log directory on the Slurm cluster should look like this after an experiment is run (assuming your experiment name is `qat_flow_ckpts`)
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**NOTE:** `rsync` may not currently be available in the NeMo container and will be added as a dependency.
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```
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```bash
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qat_flow_ckpts qat_flow_ckpts_1755708286
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```
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If you `cd` into the experiment itself, e.g. `cd qat_flow_ckpts_1755708286`, you'll find a directory structure like the following. Each folder is for a stage of the Simplified Flow, and in each stage you can see the logs for that stage as well as the sbatch command that was run. You can `cd` into each stage and `tail -f` the log file to see the logs while the stage is running.
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```
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```bash
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├── 00_openscience_data
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│   ├── code
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│   ├── configs
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│   ├── code
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│   └── configs
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```
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**NOTE:** `rsync` may not currently be available in the NeMo container and will be added as a dependency.

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