azure_rm_ml_compute

Create, Update or Delete an Azure Machine Learning Compute

Collection: azure.azcollection

Full Name: azure.azcollection.azure_rm_ml_compute

Synopsis

Create, Update or Delete an Azure Machine Learning Compute

Parameters

Name	Type	Required	Default	Description
ad_user	string			Active Directory username. Use when authenticating with an Active Directory user rather than service principal.
adfs_authority_url	string			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		`latest`	Selects an API profile to use when communicating with Azure services. Default value of C(latest) is appropriate for public clouds; future values will allow use with Azure Stack.
append_tags	bool		`true`	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.
auth_source	string		`auto`	Controls the source of the credentials to use for authentication.
Can also be set via the C(ANSIBLE_AZURE_AUTH_SOURCE) environment variable.
When set to C(auto) (the default) the precedence is module parameters -> C(env) -> C(credential_file) -> C(cli).
When set to C(env), the credentials will be read from the environment variables.
When set to C(credential_file), it will read the profile from C(~/.azure/credentials).
When set to C(cli), the credentials will be sources from the Azure CLI profile. C(subscription_id) or the environment variable C(AZURE_SUBSCRIPTION_ID) can be used to identify the subscription ID if more than one is present otherwise the default az cli subscription is used.
When set to C(msi), the host machine must be an azure resource with an enabled MSI extension. C(subscription_id) or the environment variable C(AZURE_SUBSCRIPTION_ID) can be used to identify the subscription ID if the resource is granted access to more than one subscription, otherwise the first subscription is chosen.
The C(msi) was added in Ansible 2.6.
cert_validation_mode	string			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 C(ignore). Can also be set via credential file profile or the C(AZURE_CERT_VALIDATION) environment variable.
client_id	string			Azure client ID. Use when authenticating with a Service Principal or Managed Identity (msi).
Can also be set via the C(AZURE_CLIENT_ID) environment variable.
cloud_environment	string		`AzureCloud`	For cloud environments other than the US public cloud, the environment name (as defined by Azure Python SDK, eg, C(AzureChinaCloud), C(AzureUSGovernment)), or a metadata discovery endpoint URL (required for Azure Stack). Can also be set via credential file profile or the C(AZURE_CLOUD_ENVIRONMENT) environment variable.
description	string			Description of the compute target.
disable_instance_discovery	bool		`false`	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 C(AZURE_DISABLE_INSTANCE_DISCOVERY) environment variable.
identity_type	string			The type of managed identity.
idle_time_before_scale_down	int			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	int			The maximum number of nodes to use on the cluster.
min_instances	int			The minimum number of nodes to use on the cluster.
ml_workspace	string	yes		Name of the Azure ML workspace.
name	string	yes		Name of the Azure ML compute.
oidc_token	string			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 C(AZURE_FEDERATED_TOKEN) environment variable.
oidc_token_file_path	string			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 C(AZURE_FEDERATED_TOKEN_FILE) environment variable.
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	yes		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	bool			Indicates whether public SSH port is enabled.
state	string		`present`	State of the Compute. Use C(present) to create or update and C(absent) to delete. C(start) to start, C(stop) to stop and C(restart) to restart.
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	dict			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			The thumbprint of the private key specified in I(x509_certificate_path).
Use when authenticating with a Service Principal.
Required if I(x509_certificate_path) is defined.
tier	string			VM priority tier.
type	string			The type of compute target.
user_assigned_identities	list			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	string			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.

Example

yaml

- 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