02-create-compute.py

# tutorial/02-create-compute.py
from azureml.core import Workspace
from azureml.core.compute import ComputeTarget, AmlCompute
from azureml.core.compute_target import ComputeTargetException
from azureml.core.authentication import InteractiveLoginAuthentication


# interactive_auth = InteractiveLoginAuthentication(tenant_id="99e1e721-7184-498e-8aff-b2ad4e53c1c2")

# ws = Workspace.get(name='azure-ml',
#                     subscription_id='0ffb522c-b37c-4563-b8df-4ef9526a1f68',
#                     resource_group='rg_machine_learning',auth=interactive_auth)

ws = Workspace.from_config(path="./.azureml/",_file_name="config.json") # This automatically looks for a directory .azureml

# Choose a name for your CPU cluster
cpu_cluster_name = "cpu-cluster"

# Verify that the cluster does not exist already
try:
    cpu_cluster = ComputeTarget(workspace=ws, name=cpu_cluster_name)
    print('Found existing cluster, use it.')
except ComputeTargetException:
    compute_config = AmlCompute.provisioning_configuration(vm_size='STANDARD_D2_V2',
                                                           idle_seconds_before_scaledown=2400,
                                                           min_nodes=0,
                                                           max_nodes=4)
    cpu_cluster = ComputeTarget.create(ws, cpu_cluster_name, compute_config)

cpu_cluster.wait_for_completion(show_output=True)