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# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: ml_samples_compute_configurations.py
DESCRIPTION:
These samples demonstrate different ways to configure Compute.
USAGE:
python ml_samples_compute_configurations.py
"""
import os
from random import randint
from azure.ai.ml import MLClient
from azure.core.exceptions import ResourceExistsError, ResourceNotFoundError
from azure.identity import DefaultAzureCredential
def handle_resource_exists_error(func):
def wrapper(*args, **kwargs):
try:
return func(*args, **kwargs)
except (ResourceExistsError, ResourceNotFoundError) as e:
pass
return wrapper
subscription_id = os.environ["AZURE_SUBSCRIPTION_ID"]
resource_group = os.environ["RESOURCE_GROUP_NAME"]
workspace_name = "test-ws1"
credential = DefaultAzureCredential()
ml_client = MLClient(credential, subscription_id, resource_group, workspace_name=workspace_name)
compute_name_1 = f"compute-{randint(1, 1000)}-sample"
compute_name_2 = f"compute-{randint(1, 1000)}-sample"
ci_name = f"ci-{randint(1, 1000)}-sample"
class ComputeConfigurationOptions(object):
@handle_resource_exists_error
def ml_compute_config_setup_0(self):
# [START compute_instance]
from azure.ai.ml.entities import ComputeInstance
ci = ComputeInstance(
name=ci_name,
size="Standard_DS2_v2",
)
ml_client.compute.begin_create_or_update(ci)
# [END compute_instance]
@handle_resource_exists_error
def ml_compute_config_setup_1(self):
# [START compute_operations_get]
cpu_cluster = ml_client.compute.get("cpu-cluster")
# [END compute_operations_get]
# [START load_compute]
from azure.ai.ml import load_compute
compute = load_compute(
"../tests/test_configs/compute/compute-vm.yaml",
params_override=[{"description": "loaded from compute-vm.yaml"}],
)
# [END load_compute]
# [START compute_operations_list]
compute_list = ml_client.compute.list(compute_type="AMLK8s") # cspell:disable-line
# [END compute_operations_list]
# [START compute_operations_list_nodes]
node_list = ml_client.compute.list_nodes(name="cpu-cluster")
# [END compute_operations_list_nodes]
@handle_resource_exists_error
def ml_compute_config_setup_2(self):
# [START compute_operations_create_update]
from azure.ai.ml.entities import AmlCompute
compute_obj = AmlCompute(
name=compute_name_1,
tags={"key1": "value1", "key2": "value2"},
min_instances=0,
max_instances=10,
idle_time_before_scale_down=100,
)
registered_compute = ml_client.compute.begin_create_or_update(compute_obj)
# [END compute_operations_create_update]
@handle_resource_exists_error
def ml_compute_config_setup_3(self):
# [START compute_operations_attach]
from azure.ai.ml.entities import AmlCompute
compute_obj = AmlCompute(
name=compute_name_2,
tags={"key1": "value1", "key2": "value2"},
min_instances=0,
max_instances=10,
idle_time_before_scale_down=100,
)
attached_compute = ml_client.compute.begin_attach(compute_obj)
# [END compute_operations_attach]
# [START compute_operations_update]
compute_obj = ml_client.compute.get("cpu-cluster")
compute_obj.idle_time_before_scale_down = 200
updated_compute = ml_client.compute.begin_update(compute_obj)
# [END compute_operations_update]
# [START compute_operations_list_usage]
usage_list = ml_client.compute.list_usage()
# [END compute_operations_list_usage]
# [START compute_operations_list_sizes]
size_list = ml_client.compute.list_sizes()
# [END compute_operations_list_sizes]
# [START amlcompute]
from azure.ai.ml.entities import AmlCompute, IdentityConfiguration, ManagedIdentityConfiguration
aml_compute = AmlCompute(
name="my-aml-compute",
min_instances=0,
max_instances=10,
idle_time_before_scale_down=100,
identity=IdentityConfiguration(
type="UserAssigned",
user_assigned_identities=[
ManagedIdentityConfiguration(
resource_id="/subscriptions/1234567-abcd-ef12-1234-12345/resourcegroups/our_rg_eastus/providers/Microsoft.ManagedIdentity/userAssignedIdentities/our-agent-aks"
)
],
),
)
# [END amlcompute]
# [START aml_compute_ssh_settings]
from azure.ai.ml.entities import AmlComputeSshSettings
ssh_settings = AmlComputeSshSettings(
admin_username="azureuser",
ssh_key_value="ssh-rsa ABCDEFGHIJKLMNOPQRSTUVWXYZ administrator@MININT-2023",
admin_password="password123",
)
# [END aml_compute_ssh_settings]
# [START compute_instance_ssh_settings]
from azure.ai.ml.entities import ComputeInstanceSshSettings
ssh_settings = ComputeInstanceSshSettings( # type:ignore
ssh_key_value="ssh-rsa ABCDEFGHIJKLMNOPQRSTUVWXYZ administrator@MININT-2023"
)
# [END compute_instance_ssh_settings]
# [START assigned_user_configuration]
from azure.ai.ml.entities import AssignedUserConfiguration
on_behalf_of_config = AssignedUserConfiguration(user_tenant_id="12345", user_object_id="abcdef")
# [END assigned_user_configuration]
# [START compute_operations_stop]
ml_client.compute.begin_stop(ci_name)
# [END compute_operations_stop]
# [START compute_operations_start]
ml_client.compute.begin_start(ci_name)
# [END compute_operations_start]
# [START vm_ssh_settings]
from azure.ai.ml.entities import VirtualMachineSshSettings
ssh_settings = VirtualMachineSshSettings( # type:ignore
admin_username="azureuser",
admin_password="azureuserpassword",
ssh_port=8888,
ssh_private_key_file="../tests/test_configs/compute/ssh_fake_key.txt",
)
# [END vm_ssh_settings]
# [START vm_compute]
from azure.ai.ml.entities import VirtualMachineCompute
vm_compute = VirtualMachineCompute(
name="vm-compute",
resource_id="/subscriptions/123456-1234-1234-1234-123456789/resourceGroups/my-rg/providers/Microsoft.Compute/virtualMachines/my-vm",
ssh_settings=ssh_settings, # type:ignore
)
# [END vm_compute]
# [START network_settings]
from azure.ai.ml.entities import (
AmlCompute,
IdentityConfiguration,
ManagedIdentityConfiguration,
NetworkSettings,
)
aml_compute = AmlCompute(
name="my-compute",
min_instances=0,
max_instances=10,
idle_time_before_scale_down=100,
network_settings=NetworkSettings(vnet_name="my-vnet", subnet="default"),
)
# [END network_settings]
# [START compute_runtime]
from azure.ai.ml.entities import ComputeRuntime
compute_runtime = ComputeRuntime(spark_runtime_version="3.4.0")
# [END compute_runtime]
# [START compute_start_stop_schedule]
from azure.ai.ml.constants import TimeZone
from azure.ai.ml.entities import ComputeSchedules, ComputeStartStopSchedule, CronTrigger
start_stop = ComputeStartStopSchedule(
trigger=CronTrigger(
expression="15 10 * * 1",
start_time="2022-03-10 10:15:00",
end_time="2022-06-10 10:15:00",
time_zone=TimeZone.PACIFIC_STANDARD_TIME,
)
)
compute_schedules = ComputeSchedules(compute_start_stop=[start_stop])
# [END compute_start_stop_schedule]
# [START image_metadata]
from azure.ai.ml.entities import ImageMetadata
os_image_metadata = ImageMetadata(
current_image_version="22.08.19",
latest_image_version="22.08.20",
is_latest_os_image_version=False,
)
# [END image_metadata]
# [START kubernetes_compute]
from azure.ai.ml.entities import KubernetesCompute
k8s_compute = KubernetesCompute(
identity=IdentityConfiguration(
type="UserAssigned",
user_assigned_identities=[
ManagedIdentityConfiguration(
resource_id="/subscriptions/1234567-abcd-ef12-1234-12345/resourcegroups/our_rg_eastus/providers/Microsoft.ManagedIdentity/userAssignedIdentities/our-agent-aks"
)
],
),
)
# [END kubernetes_compute]
# [START materialization_compute_resource]
from azure.ai.ml.entities import MaterializationComputeResource
materialization_compute = MaterializationComputeResource(instance_type="standard_e4s_v3")
# [END materialization_compute_resource]
# [START compute_operations_restart]
ml_client.compute.begin_restart(ci_name)
# [END compute_operations_restart]
# [START compute_operations_delete]
ml_client.compute.begin_delete(compute_name_1, action="Detach")
ml_client.compute.begin_delete(compute_name_2)
# [END compute_operations_delete]
if __name__ == "__main__":
sample = ComputeConfigurationOptions()
sample.ml_compute_config_setup_0()
sample.ml_compute_config_setup_1()
sample.ml_compute_config_setup_2()
sample.ml_compute_config_setup_3()
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