dask4dvc 0.2.0

Use dask to run the DVC graph

Dask4DVC - Distributed Node Exectuion

DVC provides tools for building and executing the computational graph locally through various methods. The dask4dvc package combines Dask Distributed with DVC to make it easier to use with HPC managers like Slurm.

The dask4dvc package will try to run the DVC graph in parallel.

Usage

Dask4DVC provides a CLI similar to DVC.

• dvc repro becomes dask4dvc repro.

SLURM Cluster

You can use dask4dvc easily with a slurm cluster. This requires a running dask scheduler:

from dask_jobqueue import SLURMCluster

cluster = SLURMCluster(
    cores=1, memory='128GB',
    queue="gpu",
    processes=1,
    walltime='8:00:00',
    job_cpu=1,
    job_extra=['-N 1', '--cpus-per-task=1', '--tasks-per-node=64', "--gres=gpu:1"],
    scheduler_options={"port": 31415}
)
cluster.adapt()

with this setup you can then run dask4dvc repro --address 127.0.0.1:31415 on the example port 31415.

You can also use config files with dask4dvc repro --config myconfig.yaml.

default:
  SGECluster:
    queue: regular
    cores: 10
    memory: 16 GB