Cerebras Command Line Pattern¶

Cerebras provides the following Bash scripts:

This section describes the command line pattern you must follow to use these scripts.

Compile on a CPU node¶

For example, to compile a model for training on a CPU node in a validate_only mode, here is an example csrun_cpu command:

csrun_cpu --mount_dirs="/data/ml,/lab/ml" \
    python run.py --mode=train --validate_only

In the above example:

The python run.py --mode=train --validate_only is a full Python command passed in as an argument for the csrun_cpu script. The other argument for the csrun_cpu is --mount_dirs="/data/ml,/lab/ml".
Note that --mode=train --validate_only is the argument for the run.py script. The csrun_cpu will use the data located in --mount_dirs="/data/ml,/lab/ml" and launches a Python session to execute the run.py code in the --mode=train --validate_only mode on the CPU node.

Similarly, to run the model on the Cerebras system located at the IP address 10.255.253.0, here is an example command:

csrun_wse --total-nodes=3 --tasks-per-node=5 --cpus-per-task=16 \
    python run.py --mode=train --cs_ip=10.255.253.0

In the above example:

The python run.py --mode=train --cs_ip=10.255.253.0 is a full Python command passed in as an argument for the csrun_wse script. The other arguments for the csrun_wse are --total-nodes=3 --tasks-per-node=5 --cpus-per-task=16.
The csrun_wse will use the Slurm settings of 3 nodes, with 5 workers each and 16 cpus assigned per worker, and will launch a Python session to execute the run.py code in the --mode=train mode on the Cerebras system located at IP address 10.255.253.0.