Microsoft.MachineLearningServices workspaces/batchEndpoints/deployments 2023-08-01-preview
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Bicep resource definition
The workspaces/batchEndpoints/deployments resource type can be deployed with operations that target:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments resource, add the following Bicep to your template.
resource symbolicname 'Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments@2023-08-01-preview' = {
identity: {
type: 'string'
userAssignedIdentities: {
{customized property}: {}
}
}
kind: 'string'
location: 'string'
name: 'string'
properties: {
codeConfiguration: {
codeId: 'string'
scoringScript: 'string'
}
compute: 'string'
deploymentConfiguration: {
deploymentConfigurationType: 'string'
// For remaining properties, see BatchDeploymentConfiguration objects
}
description: 'string'
environmentId: 'string'
environmentVariables: {
{customized property}: 'string'
}
errorThreshold: int
loggingLevel: 'string'
maxConcurrencyPerInstance: int
miniBatchSize: int
model: {
referenceType: 'string'
// For remaining properties, see AssetReferenceBase objects
}
outputAction: 'string'
outputFileName: 'string'
properties: {
{customized property}: 'string'
}
resources: {
instanceCount: int
instanceType: 'string'
locations: [
'string'
]
maxInstanceCount: int
properties: {
{customized property}: any(Azure.Bicep.Types.Concrete.AnyType)
}
}
retrySettings: {
maxRetries: int
timeout: 'string'
}
}
sku: {
capacity: int
family: 'string'
name: 'string'
size: 'string'
tier: 'string'
}
tags: {
{customized property}: 'string'
}
}
AssetReferenceBase objects
Set the referenceType property to specify the type of object.
For DataPath, use:
{
datastoreId: 'string'
path: 'string'
referenceType: 'DataPath'
}
For Id, use:
{
assetId: 'string'
referenceType: 'Id'
}
For OutputPath, use:
{
jobId: 'string'
path: 'string'
referenceType: 'OutputPath'
}
BatchDeploymentConfiguration objects
Set the deploymentConfigurationType property to specify the type of object.
For PipelineComponent, use:
{
componentId: {
assetId: 'string'
referenceType: 'string'
}
deploymentConfigurationType: 'PipelineComponent'
description: 'string'
settings: {
{customized property}: 'string'
}
tags: {
{customized property}: 'string'
}
}
Property values
AssetReferenceBase
Name | Description | Value |
---|---|---|
referenceType | Set to 'DataPath' for type DataPathAssetReference. Set to 'Id' for type IdAssetReference. Set to 'OutputPath' for type OutputPathAssetReference. | 'DataPath' 'Id' 'OutputPath' (required) |
BatchDeploymentConfiguration
Name | Description | Value |
---|---|---|
deploymentConfigurationType | Set to 'PipelineComponent' for type BatchPipelineComponentDeploymentConfiguration. | 'PipelineComponent' (required) |
BatchDeploymentProperties
Name | Description | Value |
---|---|---|
codeConfiguration | Code configuration for the endpoint deployment. | CodeConfiguration |
compute | Compute target for batch inference operation. | string |
deploymentConfiguration | Properties relevant to different deployment types. | BatchDeploymentConfiguration |
description | Description of the endpoint deployment. | string |
environmentId | ARM resource ID of the environment specification for the endpoint deployment. | string |
environmentVariables | Environment variables configuration for the deployment. | EndpointDeploymentPropertiesBaseEnvironmentVariables |
errorThreshold | Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored. |
int |
loggingLevel | Logging level for batch inference operation. | 'Debug' 'Info' 'Warning' |
maxConcurrencyPerInstance | Indicates maximum number of parallelism per instance. | int |
miniBatchSize | Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch. |
int |
model | Reference to the model asset for the endpoint deployment. | AssetReferenceBase |
outputAction | Indicates how the output will be organized. | 'AppendRow' 'SummaryOnly' |
outputFileName | Customized output file name for append_row output action. | string |
properties | Property dictionary. Properties can be added, but not removed or altered. | EndpointDeploymentPropertiesBaseProperties |
resources | Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration. |
DeploymentResourceConfiguration |
retrySettings | Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings. |
BatchRetrySettings |
BatchPipelineComponentDeploymentConfiguration
Name | Description | Value |
---|---|---|
componentId | The ARM id of the component to be run. | IdAssetReference |
deploymentConfigurationType | [Required] The type of the deployment | 'PipelineComponent' (required) |
description | The description which will be applied to the job. | string |
settings | Run-time settings for the pipeline job. | BatchPipelineComponentDeploymentConfigurationSettings |
tags | The tags which will be applied to the job. | BatchPipelineComponentDeploymentConfigurationTags |
BatchPipelineComponentDeploymentConfigurationSettings
Name | Description | Value |
---|
BatchPipelineComponentDeploymentConfigurationTags
Name | Description | Value |
---|
BatchRetrySettings
Name | Description | Value |
---|---|---|
maxRetries | Maximum retry count for a mini-batch | int |
timeout | Invocation timeout for a mini-batch, in ISO 8601 format. | string |
CodeConfiguration
Name | Description | Value |
---|---|---|
codeId | ARM resource ID of the code asset. | string |
scoringScript | [Required] The script to execute on startup. eg. "score.py" | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
DataPathAssetReference
Name | Description | Value |
---|---|---|
datastoreId | ARM resource ID of the datastore where the asset is located. | string |
path | The path of the file/directory in the datastore. | string |
referenceType | [Required] Specifies the type of asset reference. | 'DataPath' (required) |
DeploymentResourceConfiguration
Name | Description | Value |
---|---|---|
instanceCount | Optional number of instances or nodes used by the compute target. | int |
instanceType | Optional type of VM used as supported by the compute target. | string |
locations | Locations where the job can run. | string[] |
maxInstanceCount | Optional max allowed number of instances or nodes to be used by the compute target. For use with elastic training, currently supported by PyTorch distribution type only. |
int |
properties | Additional properties bag. | ResourceConfigurationProperties |
EndpointDeploymentPropertiesBaseEnvironmentVariables
Name | Description | Value |
---|
EndpointDeploymentPropertiesBaseProperties
Name | Description | Value |
---|
IdAssetReference
Name | Description | Value |
---|---|---|
assetId | [Required] ARM resource ID of the asset. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
referenceType | [Required] Specifies the type of asset reference. | 'Id' (required) |
IdAssetReference
Name | Description | Value |
---|---|---|
assetId | [Required] ARM resource ID of the asset. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
referenceType | [Required] Specifies the type of asset reference. | 'DataPath' 'Id' 'OutputPath' (required) |
ManagedServiceIdentity
Name | Description | Value |
---|---|---|
type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments
Name | Description | Value |
---|---|---|
identity | Managed service identity (system assigned and/or user assigned identities) | ManagedServiceIdentity |
kind | Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type. | string |
location | The geo-location where the resource lives | string (required) |
name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
parent | In Bicep, you can specify the parent resource for a child resource. You only need to add this property when the child resource is declared outside of the parent resource. For more information, see Child resource outside parent resource. |
Symbolic name for resource of type: workspaces/batchEndpoints |
properties | [Required] Additional attributes of the entity. | BatchDeploymentProperties (required) |
sku | Sku details required for ARM contract for Autoscaling. | Sku |
tags | Resource tags | Dictionary of tag names and values. See Tags in templates |
OutputPathAssetReference
Name | Description | Value |
---|---|---|
jobId | ARM resource ID of the job. | string |
path | The path of the file/directory in the job output. | string |
referenceType | [Required] Specifies the type of asset reference. | 'OutputPath' (required) |
ResourceConfigurationProperties
Name | Description | Value |
---|
Sku
Name | Description | Value |
---|---|---|
capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
TrackedResourceTags
Name | Description | Value |
---|
UserAssignedIdentities
Name | Description | Value |
---|
UserAssignedIdentity
Name | Description | Value |
---|
ARM template resource definition
The workspaces/batchEndpoints/deployments resource type can be deployed with operations that target:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments resource, add the following JSON to your template.
{
"type": "Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments",
"apiVersion": "2023-08-01-preview",
"name": "string",
"identity": {
"type": "string",
"userAssignedIdentities": {
"{customized property}": {
}
}
},
"kind": "string",
"location": "string",
"properties": {
"codeConfiguration": {
"codeId": "string",
"scoringScript": "string"
},
"compute": "string",
"deploymentConfiguration": {
"deploymentConfigurationType": "string"
// For remaining properties, see BatchDeploymentConfiguration objects
},
"description": "string",
"environmentId": "string",
"environmentVariables": {
"{customized property}": "string"
},
"errorThreshold": "int",
"loggingLevel": "string",
"maxConcurrencyPerInstance": "int",
"miniBatchSize": "int",
"model": {
"referenceType": "string"
// For remaining properties, see AssetReferenceBase objects
},
"outputAction": "string",
"outputFileName": "string",
"properties": {
"{customized property}": "string"
},
"resources": {
"instanceCount": "int",
"instanceType": "string",
"locations": [ "string" ],
"maxInstanceCount": "int",
"properties": {
"{customized property}": {}
}
},
"retrySettings": {
"maxRetries": "int",
"timeout": "string"
}
},
"sku": {
"capacity": "int",
"family": "string",
"name": "string",
"size": "string",
"tier": "string"
},
"tags": {
"{customized property}": "string"
}
}
AssetReferenceBase objects
Set the referenceType property to specify the type of object.
For DataPath, use:
{
"datastoreId": "string",
"path": "string",
"referenceType": "DataPath"
}
For Id, use:
{
"assetId": "string",
"referenceType": "Id"
}
For OutputPath, use:
{
"jobId": "string",
"path": "string",
"referenceType": "OutputPath"
}
BatchDeploymentConfiguration objects
Set the deploymentConfigurationType property to specify the type of object.
For PipelineComponent, use:
{
"componentId": {
"assetId": "string",
"referenceType": "string"
},
"deploymentConfigurationType": "PipelineComponent",
"description": "string",
"settings": {
"{customized property}": "string"
},
"tags": {
"{customized property}": "string"
}
}
Property values
AssetReferenceBase
Name | Description | Value |
---|---|---|
referenceType | Set to 'DataPath' for type DataPathAssetReference. Set to 'Id' for type IdAssetReference. Set to 'OutputPath' for type OutputPathAssetReference. | 'DataPath' 'Id' 'OutputPath' (required) |
BatchDeploymentConfiguration
Name | Description | Value |
---|---|---|
deploymentConfigurationType | Set to 'PipelineComponent' for type BatchPipelineComponentDeploymentConfiguration. | 'PipelineComponent' (required) |
BatchDeploymentProperties
Name | Description | Value |
---|---|---|
codeConfiguration | Code configuration for the endpoint deployment. | CodeConfiguration |
compute | Compute target for batch inference operation. | string |
deploymentConfiguration | Properties relevant to different deployment types. | BatchDeploymentConfiguration |
description | Description of the endpoint deployment. | string |
environmentId | ARM resource ID of the environment specification for the endpoint deployment. | string |
environmentVariables | Environment variables configuration for the deployment. | EndpointDeploymentPropertiesBaseEnvironmentVariables |
errorThreshold | Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored. |
int |
loggingLevel | Logging level for batch inference operation. | 'Debug' 'Info' 'Warning' |
maxConcurrencyPerInstance | Indicates maximum number of parallelism per instance. | int |
miniBatchSize | Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch. |
int |
model | Reference to the model asset for the endpoint deployment. | AssetReferenceBase |
outputAction | Indicates how the output will be organized. | 'AppendRow' 'SummaryOnly' |
outputFileName | Customized output file name for append_row output action. | string |
properties | Property dictionary. Properties can be added, but not removed or altered. | EndpointDeploymentPropertiesBaseProperties |
resources | Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration. |
DeploymentResourceConfiguration |
retrySettings | Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings. |
BatchRetrySettings |
BatchPipelineComponentDeploymentConfiguration
Name | Description | Value |
---|---|---|
componentId | The ARM id of the component to be run. | IdAssetReference |
deploymentConfigurationType | [Required] The type of the deployment | 'PipelineComponent' (required) |
description | The description which will be applied to the job. | string |
settings | Run-time settings for the pipeline job. | BatchPipelineComponentDeploymentConfigurationSettings |
tags | The tags which will be applied to the job. | BatchPipelineComponentDeploymentConfigurationTags |
BatchPipelineComponentDeploymentConfigurationSettings
Name | Description | Value |
---|
BatchPipelineComponentDeploymentConfigurationTags
Name | Description | Value |
---|
BatchRetrySettings
Name | Description | Value |
---|---|---|
maxRetries | Maximum retry count for a mini-batch | int |
timeout | Invocation timeout for a mini-batch, in ISO 8601 format. | string |
CodeConfiguration
Name | Description | Value |
---|---|---|
codeId | ARM resource ID of the code asset. | string |
scoringScript | [Required] The script to execute on startup. eg. "score.py" | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
DataPathAssetReference
Name | Description | Value |
---|---|---|
datastoreId | ARM resource ID of the datastore where the asset is located. | string |
path | The path of the file/directory in the datastore. | string |
referenceType | [Required] Specifies the type of asset reference. | 'DataPath' (required) |
DeploymentResourceConfiguration
Name | Description | Value |
---|---|---|
instanceCount | Optional number of instances or nodes used by the compute target. | int |
instanceType | Optional type of VM used as supported by the compute target. | string |
locations | Locations where the job can run. | string[] |
maxInstanceCount | Optional max allowed number of instances or nodes to be used by the compute target. For use with elastic training, currently supported by PyTorch distribution type only. |
int |
properties | Additional properties bag. | ResourceConfigurationProperties |
EndpointDeploymentPropertiesBaseEnvironmentVariables
Name | Description | Value |
---|
EndpointDeploymentPropertiesBaseProperties
Name | Description | Value |
---|
IdAssetReference
Name | Description | Value |
---|---|---|
assetId | [Required] ARM resource ID of the asset. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
referenceType | [Required] Specifies the type of asset reference. | 'Id' (required) |
IdAssetReference
Name | Description | Value |
---|---|---|
assetId | [Required] ARM resource ID of the asset. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
referenceType | [Required] Specifies the type of asset reference. | 'DataPath' 'Id' 'OutputPath' (required) |
ManagedServiceIdentity
Name | Description | Value |
---|---|---|
type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments
Name | Description | Value |
---|---|---|
apiVersion | The api version | '2023-08-01-preview' |
identity | Managed service identity (system assigned and/or user assigned identities) | ManagedServiceIdentity |
kind | Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type. | string |
location | The geo-location where the resource lives | string (required) |
name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
properties | [Required] Additional attributes of the entity. | BatchDeploymentProperties (required) |
sku | Sku details required for ARM contract for Autoscaling. | Sku |
tags | Resource tags | Dictionary of tag names and values. See Tags in templates |
type | The resource type | 'Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments' |
OutputPathAssetReference
Name | Description | Value |
---|---|---|
jobId | ARM resource ID of the job. | string |
path | The path of the file/directory in the job output. | string |
referenceType | [Required] Specifies the type of asset reference. | 'OutputPath' (required) |
ResourceConfigurationProperties
Name | Description | Value |
---|
Sku
Name | Description | Value |
---|---|---|
capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
TrackedResourceTags
Name | Description | Value |
---|
UserAssignedIdentities
Name | Description | Value |
---|
UserAssignedIdentity
Name | Description | Value |
---|
Terraform (AzAPI provider) resource definition
The workspaces/batchEndpoints/deployments resource type can be deployed with operations that target:
- Resource groups
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments resource, add the following Terraform to your template.
resource "azapi_resource" "symbolicname" {
type = "Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments@2023-08-01-preview"
name = "string"
identity = {
type = "string"
userAssignedIdentities = {
{customized property} = {
}
}
}
kind = "string"
location = "string"
body = jsonencode({
properties = {
codeConfiguration = {
codeId = "string"
scoringScript = "string"
}
compute = "string"
deploymentConfiguration = {
deploymentConfigurationType = "string"
// For remaining properties, see BatchDeploymentConfiguration objects
}
description = "string"
environmentId = "string"
environmentVariables = {
{customized property} = "string"
}
errorThreshold = int
loggingLevel = "string"
maxConcurrencyPerInstance = int
miniBatchSize = int
model = {
referenceType = "string"
// For remaining properties, see AssetReferenceBase objects
}
outputAction = "string"
outputFileName = "string"
properties = {
{customized property} = "string"
}
resources = {
instanceCount = int
instanceType = "string"
locations = [
"string"
]
maxInstanceCount = int
properties = {
{customized property} = ?
}
}
retrySettings = {
maxRetries = int
timeout = "string"
}
}
})
sku = {
capacity = int
family = "string"
name = "string"
size = "string"
tier = "string"
}
tags = {
{customized property} = "string"
}
}
AssetReferenceBase objects
Set the referenceType property to specify the type of object.
For DataPath, use:
{
datastoreId = "string"
path = "string"
referenceType = "DataPath"
}
For Id, use:
{
assetId = "string"
referenceType = "Id"
}
For OutputPath, use:
{
jobId = "string"
path = "string"
referenceType = "OutputPath"
}
BatchDeploymentConfiguration objects
Set the deploymentConfigurationType property to specify the type of object.
For PipelineComponent, use:
{
componentId = {
assetId = "string"
referenceType = "string"
}
deploymentConfigurationType = "PipelineComponent"
description = "string"
settings = {
{customized property} = "string"
}
tags = {
{customized property} = "string"
}
}
Property values
AssetReferenceBase
Name | Description | Value |
---|---|---|
referenceType | Set to 'DataPath' for type DataPathAssetReference. Set to 'Id' for type IdAssetReference. Set to 'OutputPath' for type OutputPathAssetReference. | 'DataPath' 'Id' 'OutputPath' (required) |
BatchDeploymentConfiguration
Name | Description | Value |
---|---|---|
deploymentConfigurationType | Set to 'PipelineComponent' for type BatchPipelineComponentDeploymentConfiguration. | 'PipelineComponent' (required) |
BatchDeploymentProperties
Name | Description | Value |
---|---|---|
codeConfiguration | Code configuration for the endpoint deployment. | CodeConfiguration |
compute | Compute target for batch inference operation. | string |
deploymentConfiguration | Properties relevant to different deployment types. | BatchDeploymentConfiguration |
description | Description of the endpoint deployment. | string |
environmentId | ARM resource ID of the environment specification for the endpoint deployment. | string |
environmentVariables | Environment variables configuration for the deployment. | EndpointDeploymentPropertiesBaseEnvironmentVariables |
errorThreshold | Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored. |
int |
loggingLevel | Logging level for batch inference operation. | 'Debug' 'Info' 'Warning' |
maxConcurrencyPerInstance | Indicates maximum number of parallelism per instance. | int |
miniBatchSize | Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch. |
int |
model | Reference to the model asset for the endpoint deployment. | AssetReferenceBase |
outputAction | Indicates how the output will be organized. | 'AppendRow' 'SummaryOnly' |
outputFileName | Customized output file name for append_row output action. | string |
properties | Property dictionary. Properties can be added, but not removed or altered. | EndpointDeploymentPropertiesBaseProperties |
resources | Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration. |
DeploymentResourceConfiguration |
retrySettings | Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings. |
BatchRetrySettings |
BatchPipelineComponentDeploymentConfiguration
Name | Description | Value |
---|---|---|
componentId | The ARM id of the component to be run. | IdAssetReference |
deploymentConfigurationType | [Required] The type of the deployment | 'PipelineComponent' (required) |
description | The description which will be applied to the job. | string |
settings | Run-time settings for the pipeline job. | BatchPipelineComponentDeploymentConfigurationSettings |
tags | The tags which will be applied to the job. | BatchPipelineComponentDeploymentConfigurationTags |
BatchPipelineComponentDeploymentConfigurationSettings
Name | Description | Value |
---|
BatchPipelineComponentDeploymentConfigurationTags
Name | Description | Value |
---|
BatchRetrySettings
Name | Description | Value |
---|---|---|
maxRetries | Maximum retry count for a mini-batch | int |
timeout | Invocation timeout for a mini-batch, in ISO 8601 format. | string |
CodeConfiguration
Name | Description | Value |
---|---|---|
codeId | ARM resource ID of the code asset. | string |
scoringScript | [Required] The script to execute on startup. eg. "score.py" | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
DataPathAssetReference
Name | Description | Value |
---|---|---|
datastoreId | ARM resource ID of the datastore where the asset is located. | string |
path | The path of the file/directory in the datastore. | string |
referenceType | [Required] Specifies the type of asset reference. | 'DataPath' (required) |
DeploymentResourceConfiguration
Name | Description | Value |
---|---|---|
instanceCount | Optional number of instances or nodes used by the compute target. | int |
instanceType | Optional type of VM used as supported by the compute target. | string |
locations | Locations where the job can run. | string[] |
maxInstanceCount | Optional max allowed number of instances or nodes to be used by the compute target. For use with elastic training, currently supported by PyTorch distribution type only. |
int |
properties | Additional properties bag. | ResourceConfigurationProperties |
EndpointDeploymentPropertiesBaseEnvironmentVariables
Name | Description | Value |
---|
EndpointDeploymentPropertiesBaseProperties
Name | Description | Value |
---|
IdAssetReference
Name | Description | Value |
---|---|---|
assetId | [Required] ARM resource ID of the asset. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
referenceType | [Required] Specifies the type of asset reference. | 'Id' (required) |
IdAssetReference
Name | Description | Value |
---|---|---|
assetId | [Required] ARM resource ID of the asset. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
referenceType | [Required] Specifies the type of asset reference. | 'DataPath' 'Id' 'OutputPath' (required) |
ManagedServiceIdentity
Name | Description | Value |
---|---|---|
type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments
Name | Description | Value |
---|---|---|
identity | Managed service identity (system assigned and/or user assigned identities) | ManagedServiceIdentity |
kind | Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type. | string |
location | The geo-location where the resource lives | string (required) |
name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
parent_id | The ID of the resource that is the parent for this resource. | ID for resource of type: workspaces/batchEndpoints |
properties | [Required] Additional attributes of the entity. | BatchDeploymentProperties (required) |
sku | Sku details required for ARM contract for Autoscaling. | Sku |
tags | Resource tags | Dictionary of tag names and values. |
type | The resource type | "Microsoft.MachineLearningServices/workspaces/batchEndpoints/deployments@2023-08-01-preview" |
OutputPathAssetReference
Name | Description | Value |
---|---|---|
jobId | ARM resource ID of the job. | string |
path | The path of the file/directory in the job output. | string |
referenceType | [Required] Specifies the type of asset reference. | 'OutputPath' (required) |
ResourceConfigurationProperties
Name | Description | Value |
---|
Sku
Name | Description | Value |
---|---|---|
capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
TrackedResourceTags
Name | Description | Value |
---|
UserAssignedIdentities
Name | Description | Value |
---|
UserAssignedIdentity
Name | Description | Value |
---|