azure-native.machinelearningservices.EnvironmentVersion
Explore with Pulumi AI
Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01.
Other available API versions: 2022-02-01-preview, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-04-01-preview, 2024-07-01-preview.
Example Usage
CreateOrUpdate Workspace Environment Version.
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
var environmentVersion = new AzureNative.MachineLearningServices.EnvironmentVersion("environmentVersion", new()
{
EnvironmentVersionProperties = new AzureNative.MachineLearningServices.Inputs.EnvironmentVersionArgs
{
Build = new AzureNative.MachineLearningServices.Inputs.BuildContextArgs
{
ContextUri = "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
DockerfilePath = "prod/Dockerfile",
},
CondaFile = "string",
Description = "string",
Image = "docker.io/tensorflow/serving:latest",
InferenceConfig = new AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesArgs
{
LivenessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
{
Path = "string",
Port = 1,
},
ReadinessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
{
Path = "string",
Port = 1,
},
ScoringRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
{
Path = "string",
Port = 1,
},
},
IsAnonymous = false,
Properties =
{
{ "string", "string" },
},
Tags =
{
{ "string", "string" },
},
},
Name = "string",
ResourceGroupName = "test-rg",
Version = "string",
WorkspaceName = "my-aml-workspace",
});
});
package main
import (
machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewEnvironmentVersion(ctx, "environmentVersion", &machinelearningservices.EnvironmentVersionArgs{
EnvironmentVersionProperties: &machinelearningservices.EnvironmentVersionTypeArgs{
Build: &machinelearningservices.BuildContextArgs{
ContextUri: pulumi.String("https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/"),
DockerfilePath: pulumi.String("prod/Dockerfile"),
},
CondaFile: pulumi.String("string"),
Description: pulumi.String("string"),
Image: pulumi.String("docker.io/tensorflow/serving:latest"),
InferenceConfig: &machinelearningservices.InferenceContainerPropertiesArgs{
LivenessRoute: &machinelearningservices.RouteArgs{
Path: pulumi.String("string"),
Port: pulumi.Int(1),
},
ReadinessRoute: &machinelearningservices.RouteArgs{
Path: pulumi.String("string"),
Port: pulumi.Int(1),
},
ScoringRoute: &machinelearningservices.RouteArgs{
Path: pulumi.String("string"),
Port: pulumi.Int(1),
},
},
IsAnonymous: pulumi.Bool(false),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Name: pulumi.String("string"),
ResourceGroupName: pulumi.String("test-rg"),
Version: pulumi.String("string"),
WorkspaceName: pulumi.String("my-aml-workspace"),
})
if err != nil {
return err
}
return nil
})
}
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.EnvironmentVersion;
import com.pulumi.azurenative.machinelearningservices.EnvironmentVersionArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.EnvironmentVersionArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.BuildContextArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.InferenceContainerPropertiesArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.RouteArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var environmentVersion = new EnvironmentVersion("environmentVersion", EnvironmentVersionArgs.builder()
.environmentVersionProperties(EnvironmentVersionArgs.builder()
.build(BuildContextArgs.builder()
.contextUri("https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/")
.dockerfilePath("prod/Dockerfile")
.build())
.condaFile("string")
.description("string")
.image("docker.io/tensorflow/serving:latest")
.inferenceConfig(InferenceContainerPropertiesArgs.builder()
.livenessRoute(RouteArgs.builder()
.path("string")
.port(1)
.build())
.readinessRoute(RouteArgs.builder()
.path("string")
.port(1)
.build())
.scoringRoute(RouteArgs.builder()
.path("string")
.port(1)
.build())
.build())
.isAnonymous(false)
.properties(Map.of("string", "string"))
.tags(Map.of("string", "string"))
.build())
.name("string")
.resourceGroupName("test-rg")
.version("string")
.workspaceName("my-aml-workspace")
.build());
}
}
import pulumi
import pulumi_azure_native as azure_native
environment_version = azure_native.machinelearningservices.EnvironmentVersion("environmentVersion",
environment_version_properties={
"build": {
"context_uri": "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
"dockerfile_path": "prod/Dockerfile",
},
"conda_file": "string",
"description": "string",
"image": "docker.io/tensorflow/serving:latest",
"inference_config": {
"liveness_route": {
"path": "string",
"port": 1,
},
"readiness_route": {
"path": "string",
"port": 1,
},
"scoring_route": {
"path": "string",
"port": 1,
},
},
"is_anonymous": False,
"properties": {
"string": "string",
},
"tags": {
"string": "string",
},
},
name="string",
resource_group_name="test-rg",
version="string",
workspace_name="my-aml-workspace")
import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";
const environmentVersion = new azure_native.machinelearningservices.EnvironmentVersion("environmentVersion", {
environmentVersionProperties: {
build: {
contextUri: "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
dockerfilePath: "prod/Dockerfile",
},
condaFile: "string",
description: "string",
image: "docker.io/tensorflow/serving:latest",
inferenceConfig: {
livenessRoute: {
path: "string",
port: 1,
},
readinessRoute: {
path: "string",
port: 1,
},
scoringRoute: {
path: "string",
port: 1,
},
},
isAnonymous: false,
properties: {
string: "string",
},
tags: {
string: "string",
},
},
name: "string",
resourceGroupName: "test-rg",
version: "string",
workspaceName: "my-aml-workspace",
});
resources:
environmentVersion:
type: azure-native:machinelearningservices:EnvironmentVersion
properties:
environmentVersionProperties:
build:
contextUri: https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/
dockerfilePath: prod/Dockerfile
condaFile: string
description: string
image: docker.io/tensorflow/serving:latest
inferenceConfig:
livenessRoute:
path: string
port: 1
readinessRoute:
path: string
port: 1
scoringRoute:
path: string
port: 1
isAnonymous: false
properties:
string: string
tags:
string: string
name: string
resourceGroupName: test-rg
version: string
workspaceName: my-aml-workspace
Create EnvironmentVersion Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new EnvironmentVersion(name: string, args: EnvironmentVersionArgs, opts?: CustomResourceOptions);
@overload
def EnvironmentVersion(resource_name: str,
args: EnvironmentVersionInitArgs,
opts: Optional[ResourceOptions] = None)
@overload
def EnvironmentVersion(resource_name: str,
opts: Optional[ResourceOptions] = None,
environment_version_properties: Optional[EnvironmentVersionArgs] = None,
name: Optional[str] = None,
resource_group_name: Optional[str] = None,
workspace_name: Optional[str] = None,
version: Optional[str] = None)
func NewEnvironmentVersion(ctx *Context, name string, args EnvironmentVersionArgs, opts ...ResourceOption) (*EnvironmentVersion, error)
public EnvironmentVersion(string name, EnvironmentVersionArgs args, CustomResourceOptions? opts = null)
public EnvironmentVersion(String name, EnvironmentVersionArgs args)
public EnvironmentVersion(String name, EnvironmentVersionArgs args, CustomResourceOptions options)
type: azure-native:machinelearningservices:EnvironmentVersion
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args EnvironmentVersionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args EnvironmentVersionInitArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args EnvironmentVersionArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args EnvironmentVersionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args EnvironmentVersionArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var environmentVersionResource = new AzureNative.MachineLearningServices.EnvironmentVersion("environmentVersionResource", new()
{
EnvironmentVersionProperties = new AzureNative.MachineLearningServices.Inputs.EnvironmentVersionArgs
{
AutoRebuild = "string",
Build = new AzureNative.MachineLearningServices.Inputs.BuildContextArgs
{
ContextUri = "string",
DockerfilePath = "string",
},
CondaFile = "string",
Description = "string",
Image = "string",
InferenceConfig = new AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesArgs
{
LivenessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
{
Path = "string",
Port = 0,
},
ReadinessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
{
Path = "string",
Port = 0,
},
ScoringRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
{
Path = "string",
Port = 0,
},
},
IsAnonymous = false,
IsArchived = false,
OsType = "string",
Properties =
{
{ "string", "string" },
},
Stage = "string",
Tags =
{
{ "string", "string" },
},
},
Name = "string",
ResourceGroupName = "string",
WorkspaceName = "string",
Version = "string",
});
example, err := machinelearningservices.NewEnvironmentVersion(ctx, "environmentVersionResource", &machinelearningservices.EnvironmentVersionArgs{
EnvironmentVersionProperties: &machinelearningservices.EnvironmentVersionTypeArgs{
AutoRebuild: pulumi.String("string"),
Build: &machinelearningservices.BuildContextArgs{
ContextUri: pulumi.String("string"),
DockerfilePath: pulumi.String("string"),
},
CondaFile: pulumi.String("string"),
Description: pulumi.String("string"),
Image: pulumi.String("string"),
InferenceConfig: &machinelearningservices.InferenceContainerPropertiesArgs{
LivenessRoute: &machinelearningservices.RouteArgs{
Path: pulumi.String("string"),
Port: pulumi.Int(0),
},
ReadinessRoute: &machinelearningservices.RouteArgs{
Path: pulumi.String("string"),
Port: pulumi.Int(0),
},
ScoringRoute: &machinelearningservices.RouteArgs{
Path: pulumi.String("string"),
Port: pulumi.Int(0),
},
},
IsAnonymous: pulumi.Bool(false),
IsArchived: pulumi.Bool(false),
OsType: pulumi.String("string"),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Stage: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Name: pulumi.String("string"),
ResourceGroupName: pulumi.String("string"),
WorkspaceName: pulumi.String("string"),
Version: pulumi.String("string"),
})
var environmentVersionResource = new EnvironmentVersion("environmentVersionResource", EnvironmentVersionArgs.builder()
.environmentVersionProperties(EnvironmentVersionArgs.builder()
.autoRebuild("string")
.build(BuildContextArgs.builder()
.contextUri("string")
.dockerfilePath("string")
.build())
.condaFile("string")
.description("string")
.image("string")
.inferenceConfig(InferenceContainerPropertiesArgs.builder()
.livenessRoute(RouteArgs.builder()
.path("string")
.port(0)
.build())
.readinessRoute(RouteArgs.builder()
.path("string")
.port(0)
.build())
.scoringRoute(RouteArgs.builder()
.path("string")
.port(0)
.build())
.build())
.isAnonymous(false)
.isArchived(false)
.osType("string")
.properties(Map.of("string", "string"))
.stage("string")
.tags(Map.of("string", "string"))
.build())
.name("string")
.resourceGroupName("string")
.workspaceName("string")
.version("string")
.build());
environment_version_resource = azure_native.machinelearningservices.EnvironmentVersion("environmentVersionResource",
environment_version_properties={
"autoRebuild": "string",
"build": {
"contextUri": "string",
"dockerfilePath": "string",
},
"condaFile": "string",
"description": "string",
"image": "string",
"inferenceConfig": {
"livenessRoute": {
"path": "string",
"port": 0,
},
"readinessRoute": {
"path": "string",
"port": 0,
},
"scoringRoute": {
"path": "string",
"port": 0,
},
},
"isAnonymous": False,
"isArchived": False,
"osType": "string",
"properties": {
"string": "string",
},
"stage": "string",
"tags": {
"string": "string",
},
},
name="string",
resource_group_name="string",
workspace_name="string",
version="string")
const environmentVersionResource = new azure_native.machinelearningservices.EnvironmentVersion("environmentVersionResource", {
environmentVersionProperties: {
autoRebuild: "string",
build: {
contextUri: "string",
dockerfilePath: "string",
},
condaFile: "string",
description: "string",
image: "string",
inferenceConfig: {
livenessRoute: {
path: "string",
port: 0,
},
readinessRoute: {
path: "string",
port: 0,
},
scoringRoute: {
path: "string",
port: 0,
},
},
isAnonymous: false,
isArchived: false,
osType: "string",
properties: {
string: "string",
},
stage: "string",
tags: {
string: "string",
},
},
name: "string",
resourceGroupName: "string",
workspaceName: "string",
version: "string",
});
type: azure-native:machinelearningservices:EnvironmentVersion
properties:
environmentVersionProperties:
autoRebuild: string
build:
contextUri: string
dockerfilePath: string
condaFile: string
description: string
image: string
inferenceConfig:
livenessRoute:
path: string
port: 0
readinessRoute:
path: string
port: 0
scoringRoute:
path: string
port: 0
isAnonymous: false
isArchived: false
osType: string
properties:
string: string
stage: string
tags:
string: string
name: string
resourceGroupName: string
version: string
workspaceName: string
EnvironmentVersion Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The EnvironmentVersion resource accepts the following input properties:
- Environment
Version Pulumi.Properties Azure Native. Machine Learning Services. Inputs. Environment Version - [Required] Additional attributes of the entity.
- Name string
- Name of EnvironmentVersion. This is case-sensitive.
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Workspace
Name string - Name of Azure Machine Learning workspace.
- Version string
- Version of EnvironmentVersion.
- Environment
Version EnvironmentProperties Version Type Args - [Required] Additional attributes of the entity.
- Name string
- Name of EnvironmentVersion. This is case-sensitive.
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Workspace
Name string - Name of Azure Machine Learning workspace.
- Version string
- Version of EnvironmentVersion.
- environment
Version EnvironmentProperties Version - [Required] Additional attributes of the entity.
- name String
- Name of EnvironmentVersion. This is case-sensitive.
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- workspace
Name String - Name of Azure Machine Learning workspace.
- version String
- Version of EnvironmentVersion.
- environment
Version EnvironmentProperties Version - [Required] Additional attributes of the entity.
- name string
- Name of EnvironmentVersion. This is case-sensitive.
- resource
Group stringName - The name of the resource group. The name is case insensitive.
- workspace
Name string - Name of Azure Machine Learning workspace.
- version string
- Version of EnvironmentVersion.
- environment_
version_ Environmentproperties Version Args - [Required] Additional attributes of the entity.
- name str
- Name of EnvironmentVersion. This is case-sensitive.
- resource_
group_ strname - The name of the resource group. The name is case insensitive.
- workspace_
name str - Name of Azure Machine Learning workspace.
- version str
- Version of EnvironmentVersion.
- environment
Version Property MapProperties - [Required] Additional attributes of the entity.
- name String
- Name of EnvironmentVersion. This is case-sensitive.
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- workspace
Name String - Name of Azure Machine Learning workspace.
- version String
- Version of EnvironmentVersion.
Outputs
All input properties are implicitly available as output properties. Additionally, the EnvironmentVersion resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- System
Data Pulumi.Azure Native. Machine Learning Services. Outputs. System Data Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- Type string
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- Id string
- The provider-assigned unique ID for this managed resource.
- System
Data SystemData Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- Type string
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- id String
- The provider-assigned unique ID for this managed resource.
- system
Data SystemData Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- type String
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- id string
- The provider-assigned unique ID for this managed resource.
- system
Data SystemData Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- type string
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- id str
- The provider-assigned unique ID for this managed resource.
- system_
data SystemData Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- type str
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- id String
- The provider-assigned unique ID for this managed resource.
- system
Data Property Map - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- type String
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
Supporting Types
AutoRebuildSetting, AutoRebuildSettingArgs
- Disabled
- Disabled
- On
Base Image Update - OnBaseImageUpdate
- Auto
Rebuild Setting Disabled - Disabled
- Auto
Rebuild Setting On Base Image Update - OnBaseImageUpdate
- Disabled
- Disabled
- On
Base Image Update - OnBaseImageUpdate
- Disabled
- Disabled
- On
Base Image Update - OnBaseImageUpdate
- DISABLED
- Disabled
- ON_BASE_IMAGE_UPDATE
- OnBaseImageUpdate
- "Disabled"
- Disabled
- "On
Base Image Update" - OnBaseImageUpdate
BuildContext, BuildContextArgs
- Context
Uri string - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- Dockerfile
Path string - Path to the Dockerfile in the build context.
- Context
Uri string - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- Dockerfile
Path string - Path to the Dockerfile in the build context.
- context
Uri String - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- dockerfile
Path String - Path to the Dockerfile in the build context.
- context
Uri string - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- dockerfile
Path string - Path to the Dockerfile in the build context.
- context_
uri str - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- dockerfile_
path str - Path to the Dockerfile in the build context.
- context
Uri String - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- dockerfile
Path String - Path to the Dockerfile in the build context.
BuildContextResponse, BuildContextResponseArgs
- Context
Uri string - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- Dockerfile
Path string - Path to the Dockerfile in the build context.
- Context
Uri string - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- Dockerfile
Path string - Path to the Dockerfile in the build context.
- context
Uri String - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- dockerfile
Path String - Path to the Dockerfile in the build context.
- context
Uri string - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- dockerfile
Path string - Path to the Dockerfile in the build context.
- context_
uri str - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- dockerfile_
path str - Path to the Dockerfile in the build context.
- context
Uri String - [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
- dockerfile
Path String - Path to the Dockerfile in the build context.
EnvironmentVersion, EnvironmentVersionArgs
- Auto
Rebuild string | Pulumi.Azure Native. Machine Learning Services. Auto Rebuild Setting - Defines if image needs to be rebuilt based on base image changes.
- Build
Pulumi.
Azure Native. Machine Learning Services. Inputs. Build Context - Configuration settings for Docker build context.
- Conda
File string - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- Description string
- The asset description text.
- Image string
- Name of the image that will be used for the environment.
- Inference
Config Pulumi.Azure Native. Machine Learning Services. Inputs. Inference Container Properties - Defines configuration specific to inference.
- Is
Anonymous bool - If the name version are system generated (anonymous registration).
- Is
Archived bool - Is the asset archived?
- Os
Type string | Pulumi.Azure Native. Machine Learning Services. Operating System Type - The OS type of the environment.
- Properties Dictionary<string, string>
- The asset property dictionary.
- Stage string
- Stage in the environment lifecycle assigned to this environment
- Dictionary<string, string>
- Tag dictionary. Tags can be added, removed, and updated.
- Auto
Rebuild string | AutoRebuild Setting - Defines if image needs to be rebuilt based on base image changes.
- Build
Build
Context - Configuration settings for Docker build context.
- Conda
File string - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- Description string
- The asset description text.
- Image string
- Name of the image that will be used for the environment.
- Inference
Config InferenceContainer Properties - Defines configuration specific to inference.
- Is
Anonymous bool - If the name version are system generated (anonymous registration).
- Is
Archived bool - Is the asset archived?
- Os
Type string | OperatingSystem Type - The OS type of the environment.
- Properties map[string]string
- The asset property dictionary.
- Stage string
- Stage in the environment lifecycle assigned to this environment
- map[string]string
- Tag dictionary. Tags can be added, removed, and updated.
- auto
Rebuild String | AutoRebuild Setting - Defines if image needs to be rebuilt based on base image changes.
- build
Build
Context - Configuration settings for Docker build context.
- conda
File String - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- description String
- The asset description text.
- image String
- Name of the image that will be used for the environment.
- inference
Config InferenceContainer Properties - Defines configuration specific to inference.
- is
Anonymous Boolean - If the name version are system generated (anonymous registration).
- is
Archived Boolean - Is the asset archived?
- os
Type String | OperatingSystem Type - The OS type of the environment.
- properties Map<String,String>
- The asset property dictionary.
- stage String
- Stage in the environment lifecycle assigned to this environment
- Map<String,String>
- Tag dictionary. Tags can be added, removed, and updated.
- auto
Rebuild string | AutoRebuild Setting - Defines if image needs to be rebuilt based on base image changes.
- build
Build
Context - Configuration settings for Docker build context.
- conda
File string - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- description string
- The asset description text.
- image string
- Name of the image that will be used for the environment.
- inference
Config InferenceContainer Properties - Defines configuration specific to inference.
- is
Anonymous boolean - If the name version are system generated (anonymous registration).
- is
Archived boolean - Is the asset archived?
- os
Type string | OperatingSystem Type - The OS type of the environment.
- properties {[key: string]: string}
- The asset property dictionary.
- stage string
- Stage in the environment lifecycle assigned to this environment
- {[key: string]: string}
- Tag dictionary. Tags can be added, removed, and updated.
- auto_
rebuild str | AutoRebuild Setting - Defines if image needs to be rebuilt based on base image changes.
- build
Build
Context - Configuration settings for Docker build context.
- conda_
file str - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- description str
- The asset description text.
- image str
- Name of the image that will be used for the environment.
- inference_
config InferenceContainer Properties - Defines configuration specific to inference.
- is_
anonymous bool - If the name version are system generated (anonymous registration).
- is_
archived bool - Is the asset archived?
- os_
type str | OperatingSystem Type - The OS type of the environment.
- properties Mapping[str, str]
- The asset property dictionary.
- stage str
- Stage in the environment lifecycle assigned to this environment
- Mapping[str, str]
- Tag dictionary. Tags can be added, removed, and updated.
- auto
Rebuild String | "Disabled" | "OnBase Image Update" - Defines if image needs to be rebuilt based on base image changes.
- build Property Map
- Configuration settings for Docker build context.
- conda
File String - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- description String
- The asset description text.
- image String
- Name of the image that will be used for the environment.
- inference
Config Property Map - Defines configuration specific to inference.
- is
Anonymous Boolean - If the name version are system generated (anonymous registration).
- is
Archived Boolean - Is the asset archived?
- os
Type String | "Linux" | "Windows" - The OS type of the environment.
- properties Map<String>
- The asset property dictionary.
- stage String
- Stage in the environment lifecycle assigned to this environment
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
EnvironmentVersionResponse, EnvironmentVersionResponseArgs
- Environment
Type string - Environment type is either user managed or curated by the Azure ML service
- Provisioning
State string - Provisioning state for the environment version.
- Auto
Rebuild string - Defines if image needs to be rebuilt based on base image changes.
- Build
Pulumi.
Azure Native. Machine Learning Services. Inputs. Build Context Response - Configuration settings for Docker build context.
- Conda
File string - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- Description string
- The asset description text.
- Image string
- Name of the image that will be used for the environment.
- Inference
Config Pulumi.Azure Native. Machine Learning Services. Inputs. Inference Container Properties Response - Defines configuration specific to inference.
- Is
Anonymous bool - If the name version are system generated (anonymous registration).
- Is
Archived bool - Is the asset archived?
- Os
Type string - The OS type of the environment.
- Properties Dictionary<string, string>
- The asset property dictionary.
- Stage string
- Stage in the environment lifecycle assigned to this environment
- Dictionary<string, string>
- Tag dictionary. Tags can be added, removed, and updated.
- Environment
Type string - Environment type is either user managed or curated by the Azure ML service
- Provisioning
State string - Provisioning state for the environment version.
- Auto
Rebuild string - Defines if image needs to be rebuilt based on base image changes.
- Build
Build
Context Response - Configuration settings for Docker build context.
- Conda
File string - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- Description string
- The asset description text.
- Image string
- Name of the image that will be used for the environment.
- Inference
Config InferenceContainer Properties Response - Defines configuration specific to inference.
- Is
Anonymous bool - If the name version are system generated (anonymous registration).
- Is
Archived bool - Is the asset archived?
- Os
Type string - The OS type of the environment.
- Properties map[string]string
- The asset property dictionary.
- Stage string
- Stage in the environment lifecycle assigned to this environment
- map[string]string
- Tag dictionary. Tags can be added, removed, and updated.
- environment
Type String - Environment type is either user managed or curated by the Azure ML service
- provisioning
State String - Provisioning state for the environment version.
- auto
Rebuild String - Defines if image needs to be rebuilt based on base image changes.
- build
Build
Context Response - Configuration settings for Docker build context.
- conda
File String - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- description String
- The asset description text.
- image String
- Name of the image that will be used for the environment.
- inference
Config InferenceContainer Properties Response - Defines configuration specific to inference.
- is
Anonymous Boolean - If the name version are system generated (anonymous registration).
- is
Archived Boolean - Is the asset archived?
- os
Type String - The OS type of the environment.
- properties Map<String,String>
- The asset property dictionary.
- stage String
- Stage in the environment lifecycle assigned to this environment
- Map<String,String>
- Tag dictionary. Tags can be added, removed, and updated.
- environment
Type string - Environment type is either user managed or curated by the Azure ML service
- provisioning
State string - Provisioning state for the environment version.
- auto
Rebuild string - Defines if image needs to be rebuilt based on base image changes.
- build
Build
Context Response - Configuration settings for Docker build context.
- conda
File string - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- description string
- The asset description text.
- image string
- Name of the image that will be used for the environment.
- inference
Config InferenceContainer Properties Response - Defines configuration specific to inference.
- is
Anonymous boolean - If the name version are system generated (anonymous registration).
- is
Archived boolean - Is the asset archived?
- os
Type string - The OS type of the environment.
- properties {[key: string]: string}
- The asset property dictionary.
- stage string
- Stage in the environment lifecycle assigned to this environment
- {[key: string]: string}
- Tag dictionary. Tags can be added, removed, and updated.
- environment_
type str - Environment type is either user managed or curated by the Azure ML service
- provisioning_
state str - Provisioning state for the environment version.
- auto_
rebuild str - Defines if image needs to be rebuilt based on base image changes.
- build
Build
Context Response - Configuration settings for Docker build context.
- conda_
file str - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- description str
- The asset description text.
- image str
- Name of the image that will be used for the environment.
- inference_
config InferenceContainer Properties Response - Defines configuration specific to inference.
- is_
anonymous bool - If the name version are system generated (anonymous registration).
- is_
archived bool - Is the asset archived?
- os_
type str - The OS type of the environment.
- properties Mapping[str, str]
- The asset property dictionary.
- stage str
- Stage in the environment lifecycle assigned to this environment
- Mapping[str, str]
- Tag dictionary. Tags can be added, removed, and updated.
- environment
Type String - Environment type is either user managed or curated by the Azure ML service
- provisioning
State String - Provisioning state for the environment version.
- auto
Rebuild String - Defines if image needs to be rebuilt based on base image changes.
- build Property Map
- Configuration settings for Docker build context.
- conda
File String - Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
- description String
- The asset description text.
- image String
- Name of the image that will be used for the environment.
- inference
Config Property Map - Defines configuration specific to inference.
- is
Anonymous Boolean - If the name version are system generated (anonymous registration).
- is
Archived Boolean - Is the asset archived?
- os
Type String - The OS type of the environment.
- properties Map<String>
- The asset property dictionary.
- stage String
- Stage in the environment lifecycle assigned to this environment
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
InferenceContainerProperties, InferenceContainerPropertiesArgs
- Liveness
Route Pulumi.Azure Native. Machine Learning Services. Inputs. Route - The route to check the liveness of the inference server container.
- Readiness
Route Pulumi.Azure Native. Machine Learning Services. Inputs. Route - The route to check the readiness of the inference server container.
- Scoring
Route Pulumi.Azure Native. Machine Learning Services. Inputs. Route - The port to send the scoring requests to, within the inference server container.
- Liveness
Route Route - The route to check the liveness of the inference server container.
- Readiness
Route Route - The route to check the readiness of the inference server container.
- Scoring
Route Route - The port to send the scoring requests to, within the inference server container.
- liveness
Route Route - The route to check the liveness of the inference server container.
- readiness
Route Route - The route to check the readiness of the inference server container.
- scoring
Route Route - The port to send the scoring requests to, within the inference server container.
- liveness
Route Route - The route to check the liveness of the inference server container.
- readiness
Route Route - The route to check the readiness of the inference server container.
- scoring
Route Route - The port to send the scoring requests to, within the inference server container.
- liveness_
route Route - The route to check the liveness of the inference server container.
- readiness_
route Route - The route to check the readiness of the inference server container.
- scoring_
route Route - The port to send the scoring requests to, within the inference server container.
- liveness
Route Property Map - The route to check the liveness of the inference server container.
- readiness
Route Property Map - The route to check the readiness of the inference server container.
- scoring
Route Property Map - The port to send the scoring requests to, within the inference server container.
InferenceContainerPropertiesResponse, InferenceContainerPropertiesResponseArgs
- Liveness
Route Pulumi.Azure Native. Machine Learning Services. Inputs. Route Response - The route to check the liveness of the inference server container.
- Readiness
Route Pulumi.Azure Native. Machine Learning Services. Inputs. Route Response - The route to check the readiness of the inference server container.
- Scoring
Route Pulumi.Azure Native. Machine Learning Services. Inputs. Route Response - The port to send the scoring requests to, within the inference server container.
- Liveness
Route RouteResponse - The route to check the liveness of the inference server container.
- Readiness
Route RouteResponse - The route to check the readiness of the inference server container.
- Scoring
Route RouteResponse - The port to send the scoring requests to, within the inference server container.
- liveness
Route RouteResponse - The route to check the liveness of the inference server container.
- readiness
Route RouteResponse - The route to check the readiness of the inference server container.
- scoring
Route RouteResponse - The port to send the scoring requests to, within the inference server container.
- liveness
Route RouteResponse - The route to check the liveness of the inference server container.
- readiness
Route RouteResponse - The route to check the readiness of the inference server container.
- scoring
Route RouteResponse - The port to send the scoring requests to, within the inference server container.
- liveness_
route RouteResponse - The route to check the liveness of the inference server container.
- readiness_
route RouteResponse - The route to check the readiness of the inference server container.
- scoring_
route RouteResponse - The port to send the scoring requests to, within the inference server container.
- liveness
Route Property Map - The route to check the liveness of the inference server container.
- readiness
Route Property Map - The route to check the readiness of the inference server container.
- scoring
Route Property Map - The port to send the scoring requests to, within the inference server container.
OperatingSystemType, OperatingSystemTypeArgs
- Linux
- Linux
- Windows
- Windows
- Operating
System Type Linux - Linux
- Operating
System Type Windows - Windows
- Linux
- Linux
- Windows
- Windows
- Linux
- Linux
- Windows
- Windows
- LINUX
- Linux
- WINDOWS
- Windows
- "Linux"
- Linux
- "Windows"
- Windows
Route, RouteArgs
RouteResponse, RouteResponseArgs
SystemDataResponse, SystemDataResponseArgs
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - The type of identity that last modified the resource.
- created
At string - The timestamp of resource creation (UTC).
- created
By string - The identity that created the resource.
- created
By stringType - The type of identity that created the resource.
- last
Modified stringAt - The timestamp of resource last modification (UTC)
- last
Modified stringBy - The identity that last modified the resource.
- last
Modified stringBy Type - The type of identity that last modified the resource.
- created_
at str - The timestamp of resource creation (UTC).
- created_
by str - The identity that created the resource.
- created_
by_ strtype - The type of identity that created the resource.
- last_
modified_ strat - The timestamp of resource last modification (UTC)
- last_
modified_ strby - The identity that last modified the resource.
- last_
modified_ strby_ type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - The type of identity that last modified the resource.
Import
An existing resource can be imported using its type token, name, and identifier, e.g.
$ pulumi import azure-native:machinelearningservices:EnvironmentVersion string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/environments/{name}/versions/{version}
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Azure Native pulumi/pulumi-azure-native
- License
- Apache-2.0