azure.azcollection.azure_rm_ml_compute module – Create, Update or Delete an Azure Machine Learning Compute
Note
This module is part of the azure.azcollection collection (version 3.18.0).
You might already have this collection installed if you are using the ansible package. It is not included in ansible-core. To check whether it is installed, run ansible-galaxy collection list.
To install it, use: ansible-galaxy collection install azure.azcollection. You need further requirements to be able to use this module, see Requirements for details.
To use it in a playbook, specify: azure.azcollection.azure_rm_ml_compute.
New in azure.azcollection 3.15.0
Synopsis
- Create, Update or Delete an Azure Machine Learning Compute.
Requirements
The below requirements are needed on the host that executes this module.
- python >= 2.7
- The host that executes this module must have the azure.azcollection collection installed via galaxy
- All python packages listed in collection’s requirements.txt must be installed via pip on the host that executes modules from azure.azcollection
- Full installation instructions may be found https://galaxy.ansible.com/azure/azcollection
Parameters
Parameter | Comments |
|---|---|
ad_user string | Active Directory username. Use when authenticating with an Active Directory user rather than service principal. |
adfs_authority_url string added in azure.azcollection 0.0.1 | Azure AD authority url. Use when authenticating with Username/password, and has your own ADFS authority. |
admin_password string | Password for the administrator user account. |
admin_username string | Name of the administrator user account that can be used to SSH into the node(s). |
api_profile string added in azure.azcollection 0.0.1 | Selects an API profile to use when communicating with Azure services. Default value of Default: |
append_tags boolean | Use to control if tags field is canonical or just appends to existing tags. When canonical, any tags not found in the tags parameter will be removed from the object’s metadata. Choices:
|
auth_source string added in azure.azcollection 0.0.1 | Controls the source of the credentials to use for authentication. Can also be set via the When set to When set to When set to When set to When set to The Choices:
|
cert_validation_mode string added in azure.azcollection 0.0.1 | Controls the certificate validation behavior for Azure endpoints. By default, all modules will validate the server certificate, but when an HTTPS proxy is in use, or against Azure Stack, it may be necessary to disable this behavior by passing Choices:
|
client_id string | Azure client ID. Use when authenticating with a Service Principal or Managed Identity (msi). Can also be set via the |
cloud_environment string added in azure.azcollection 0.0.1 | For cloud environments other than the US public cloud, the environment name (as defined by Azure Python SDK, eg, Default: |
description string | Description of the compute target. |
disable_instance_discovery boolean added in azure.azcollection 2.3.0 | Determines whether or not instance discovery is performed when attempting to authenticate. Setting this to true will completely disable both instance discovery and authority validation. This functionality is intended for use in scenarios where the metadata endpoint cannot be reached such as in private clouds or Azure Stack. The process of instance discovery entails retrieving authority metadata from https://login.microsoft.com/ to validate the authority. By setting this to **True**, the validation of the authority is disabled. As a result, it is crucial to ensure that the configured authority host is valid and trustworthy. Set via credential file profile or the Choices:
|
identity_type string | The type of managed identity. Choices:
|
idle_time_before_scale_down integer | Node idle time in seconds before scaling down the cluster. |
location string | The location to be used for the new compute. If not specified, defaults to the location of the workspace. |
log_mode string | Parent argument. |
log_path string | Parent argument. |
max_instances integer | The maximum number of nodes to use on the cluster. |
min_instances integer | The minimum number of nodes to use on the cluster. |
ml_workspace string / required | Name of the Azure ML workspace. |
name string / required | Name of the Azure ML compute. |
oidc_token string added in azure.azcollection 3.17.0 | Direct OpenID Connect (OIDC) token (JWT) used for workload identity authentication. This token is exchanged with Azure AD using OIDC federated identity. Useful in CI systems (for example GitHub Actions, Azure DevOps) where an OIDC token is provided directly by the platform. Can also be set via the |
oidc_token_file_path path added in azure.azcollection 3.17.0 | Path to a file containing an OpenID Connect (OIDC) token (JWT) used for workload identity authentication. The file must contain only raw token. This method is commonly used in platforms that materialize OIDC tokens as files Can also be set via the |
password string | Active Directory user password. Use when authenticating with an Active Directory user rather than service principal. |
profile string | Security profile found in ~/.azure/credentials file. |
resource_definition string | Compute definition in YAML |
resource_group string / required | Name of resource group. |
secret string | Azure client secret. Use when authenticating with a Service Principal. |
size string | VM size to use for the compute target. More details can be found here: https://aka.ms/azureml-vm-details. |
ssh_key_value string | SSH public key of the administrator user account. |
ssh_public_access_enabled boolean | Indicates whether public SSH port is enabled. Choices:
|
state string | State of the Compute. Use Choices:
|
subnet string | Name of the subnet. Can also reference a subnet in an existing vnet by ID instead of name. If subnet ID is specified then vnet_name will be ignored. Subnet ID can refer to a vnet/subnet in another RG by specifying the fully qualified subnet ID. Required when vnet name is specified. |
subscription_id string | Your Azure subscription Id. |
tags dictionary | Dictionary of string:string pairs to assign as metadata to the object. Metadata tags on the object will be updated with any provided values. To remove tags set append_tags option to false. Currently, Azure DNS zones and Traffic Manager services also don’t allow the use of spaces in the tag. Azure Front Door doesn’t support the use of Azure Automation and Azure CDN only support 15 tags on resources. |
tenant string | Azure tenant ID. Use when authenticating with a Service Principal. |
thumbprint string added in azure.azcollection 1.14.0 | The thumbprint of the private key specified in x509_certificate_path. Use when authenticating with a Service Principal. Required if x509_certificate_path is defined. |
tier string | VM priority tier. Choices:
|
type string | The type of compute target. Choices:
|
user_assigned_identities list / elements=string | User Assigned Identities. |
user_object_id string | AAD object ID of the assigned user. |
user_tenant_id string | AAD tenant ID of the assigned user. |
vnet_name string | Name of the virtual network. |
x509_certificate_path path added in azure.azcollection 1.14.0 | Path to the X509 certificate used to create the service principal in PEM format. The certificate must be appended to the private key. Use when authenticating with a Service Principal. |
Notes
Note
- For authentication with Azure you can pass parameters, set environment variables, use a profile stored in ~/.azure/credentials, or log in before you run your tasks or playbook with
az login. - Authentication is also possible using a service principal or Active Directory user.
- To authenticate via OIDC, pass client_id, tenant and oidc_token or oidc_token_file_path, or set environment variables AZURE_CLIENT_ID, AZURE_TENANT and AZURE_FEDERATED_TOKEN or AZURE_FEDERATED_TOKEN_FILE.
- To authenticate via service principal, pass subscription_id, client_id, secret and tenant or set environment variables AZURE_SUBSCRIPTION_ID, AZURE_CLIENT_ID, AZURE_SECRET and AZURE_TENANT.
- To authenticate via Active Directory user, pass ad_user and password, or set AZURE_AD_USER and AZURE_PASSWORD in the environment.
- Alternatively, credentials can be stored in ~/.azure/credentials. This is an ini file containing a [default] section and the following keys: subscription_id, client_id, secret and tenant or subscription_id, ad_user and password. It is also possible to add additional profiles. Specify the profile by passing profile or setting AZURE_PROFILE in the environment.
See Also
See also
- Sign in with Azure CLI
-
How to authenticate using the
az logincommand.
Examples
- name: Create ML Compute
azure.azcollection.azure_rm_ml_compute:
location: eastus
name: MyCompute
description: My Compute created by Ansible
resource_group: myResourceGroup
ml_workspace: myMLWorkspace
type: amlcompute
min_instances: 0
max_instances: 8
tags:
createdByToolkit: Ansible
Return Values
Common return values are documented here, the following are the fields unique to this module:
Key | Description |
|---|---|
changed boolean | Whether the resource is changed. Returned: always Sample: |
ml_compute dictionary | Compute that was just created or updated. Returned: always Sample: |
Collection links
© 2012–2018 Michael DeHaan
© 2018–2025 Red Hat, Inc.
Licensed under the GNU General Public License version 3.
https://docs.ansible.com/projects/ansible/latest/collections/azure/azcollection/azure_rm_ml_compute_module.html