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Alibaba Cloud v3.78.0 published on Friday, May 16, 2025 by Pulumi
pulumi/pulumi-alicloud

alicloud.pai.WorkspaceModelVersion

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Alibaba Cloud v3.78.0 published on Friday, May 16, 2025 by Pulumi
pulumi/pulumi-alicloud

    Provides a PAI Workspace Model Version resource.

    For information about PAI Workspace Model Version and how to use it, see What is Model Version.

    NOTE: Available since v1.248.0.

    Example Usage

    Basic Usage

    import * as pulumi from "@pulumi/pulumi";
import * as alicloud from "@pulumi/alicloud";
import * as random from "@pulumi/random";

const config = new pulumi.Config();
const name = config.get("name") || "terraform_example";
const _default = new random.index.Integer("default", {
    min: 10000,
    max: 99999,
});
const defaultDI9fsL = new alicloud.pai.WorkspaceWorkspace("defaultDI9fsL", {
    description: "802",
    displayName: name,
    workspaceName: `${name}_${_default.result}`,
    envTypes: ["prod"],
});
const defaultsHptEL = new alicloud.pai.WorkspaceModel("defaultsHptEL", {
    modelName: name,
    workspaceId: defaultDI9fsL.id,
    origin: "Civitai",
    task: "text-to-image-synthesis",
    accessibility: "PRIVATE",
    modelType: "Checkpoint",
    orderNumber: 1,
    modelDescription: "ModelDescription.",
    modelDoc: "https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors",
    domain: "aigc",
    labels: [{
        key: "base_model",
        value: "SD 1.5",
    }],
    extraInfo: {
        test: "15",
    },
});
const defaultWorkspaceModelVersion = new alicloud.pai.WorkspaceModelVersion("default", {
    versionDescription: "VersionDescription.",
    sourceType: "TrainingService",
    sourceId: "region=${region},workspaceId=${workspace_id},kind=TrainingJob,id=job-id",
    extraInfo: {
        test: "15",
    },
    trainingSpec: {
        test: "TrainingSpec",
    },
    uri: "oss://hz-example-0701.oss-cn-hangzhou-internal.aliyuncs.com/checkpoints/",
    inferenceSpec: {
        test: "InferenceSpec",
    },
    modelId: defaultsHptEL.id,
    formatType: "SavedModel",
    approvalStatus: "Pending",
    frameworkType: "PyTorch",
    versionName: "1.0.0",
    metrics: {},
    labels: [{
        key: "k1",
        value: "vs1",
    }],
});

    import pulumi
import pulumi_alicloud as alicloud
import pulumi_random as random

config = pulumi.Config()
name = config.get("name")
if name is None:
    name = "terraform_example"
default = random.index.Integer("default",
    min=10000,
    max=99999)
default_di9fs_l = alicloud.pai.WorkspaceWorkspace("defaultDI9fsL",
    description="802",
    display_name=name,
    workspace_name=f"{name}_{default['result']}",
    env_types=["prod"])
defaults_hpt_el = alicloud.pai.WorkspaceModel("defaultsHptEL",
    model_name=name,
    workspace_id=default_di9fs_l.id,
    origin="Civitai",
    task="text-to-image-synthesis",
    accessibility="PRIVATE",
    model_type="Checkpoint",
    order_number=1,
    model_description="ModelDescription.",
    model_doc="https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors",
    domain="aigc",
    labels=[{
        "key": "base_model",
        "value": "SD 1.5",
    }],
    extra_info={
        "test": "15",
    })
default_workspace_model_version = alicloud.pai.WorkspaceModelVersion("default",
    version_description="VersionDescription.",
    source_type="TrainingService",
    source_id="region=${region},workspaceId=${workspace_id},kind=TrainingJob,id=job-id",
    extra_info={
        "test": "15",
    },
    training_spec={
        "test": "TrainingSpec",
    },
    uri="oss://hz-example-0701.oss-cn-hangzhou-internal.aliyuncs.com/checkpoints/",
    inference_spec={
        "test": "InferenceSpec",
    },
    model_id=defaults_hpt_el.id,
    format_type="SavedModel",
    approval_status="Pending",
    framework_type="PyTorch",
    version_name="1.0.0",
    metrics={},
    labels=[{
        "key": "k1",
        "value": "vs1",
    }])

    package main

import (
	"fmt"

	"github.com/pulumi/pulumi-alicloud/sdk/v3/go/alicloud/pai"
	"github.com/pulumi/pulumi-random/sdk/v4/go/random"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi/config"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		cfg := config.New(ctx, "")
		name := "terraform_example"
		if param := cfg.Get("name"); param != "" {
			name = param
		}
		_default, err := random.NewInteger(ctx, "default", &random.IntegerArgs{
			Min: 10000,
			Max: 99999,
		})
		if err != nil {
			return err
		}
		defaultDI9fsL, err := pai.NewWorkspaceWorkspace(ctx, "defaultDI9fsL", &pai.WorkspaceWorkspaceArgs{
			Description:   pulumi.String("802"),
			DisplayName:   pulumi.String(name),
			WorkspaceName: pulumi.Sprintf("%v_%v", name, _default.Result),
			EnvTypes: pulumi.StringArray{
				pulumi.String("prod"),
			},
		})
		if err != nil {
			return err
		}
		defaultsHptEL, err := pai.NewWorkspaceModel(ctx, "defaultsHptEL", &pai.WorkspaceModelArgs{
			ModelName:        pulumi.String(name),
			WorkspaceId:      defaultDI9fsL.ID(),
			Origin:           pulumi.String("Civitai"),
			Task:             pulumi.String("text-to-image-synthesis"),
			Accessibility:    pulumi.String("PRIVATE"),
			ModelType:        pulumi.String("Checkpoint"),
			OrderNumber:      pulumi.Int(1),
			ModelDescription: pulumi.String("ModelDescription."),
			ModelDoc:         pulumi.String("https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors"),
			Domain:           pulumi.String("aigc"),
			Labels: pai.WorkspaceModelLabelArray{
				&pai.WorkspaceModelLabelArgs{
					Key:   pulumi.String("base_model"),
					Value: pulumi.String("SD 1.5"),
				},
			},
			ExtraInfo: pulumi.StringMap{
				"test": pulumi.String("15"),
			},
		})
		if err != nil {
			return err
		}
		_, err = pai.NewWorkspaceModelVersion(ctx, "default", &pai.WorkspaceModelVersionArgs{
			VersionDescription: pulumi.String("VersionDescription."),
			SourceType:         pulumi.String("TrainingService"),
			SourceId:           pulumi.String("region=${region},workspaceId=${workspace_id},kind=TrainingJob,id=job-id"),
			ExtraInfo: pulumi.StringMap{
				"test": pulumi.String("15"),
			},
			TrainingSpec: pulumi.StringMap{
				"test": pulumi.String("TrainingSpec"),
			},
			Uri: pulumi.String("oss://hz-example-0701.oss-cn-hangzhou-internal.aliyuncs.com/checkpoints/"),
			InferenceSpec: pulumi.StringMap{
				"test": pulumi.String("InferenceSpec"),
			},
			ModelId:        defaultsHptEL.ID(),
			FormatType:     pulumi.String("SavedModel"),
			ApprovalStatus: pulumi.String("Pending"),
			FrameworkType:  pulumi.String("PyTorch"),
			VersionName:    pulumi.String("1.0.0"),
			Metrics:        pulumi.StringMap{},
			Labels: pai.WorkspaceModelVersionLabelArray{
				&pai.WorkspaceModelVersionLabelArgs{
					Key:   pulumi.String("k1"),
					Value: pulumi.String("vs1"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AliCloud = Pulumi.AliCloud;
using Random = Pulumi.Random;

return await Deployment.RunAsync(() => 
{
    var config = new Config();
    var name = config.Get("name") ?? "terraform_example";
    var @default = new Random.Index.Integer("default", new()
    {
        Min = 10000,
        Max = 99999,
    });

    var defaultDI9fsL = new AliCloud.Pai.WorkspaceWorkspace("defaultDI9fsL", new()
    {
        Description = "802",
        DisplayName = name,
        WorkspaceName = $"{name}_{@default.Result}",
        EnvTypes = new[]
        {
            "prod",
        },
    });

    var defaultsHptEL = new AliCloud.Pai.WorkspaceModel("defaultsHptEL", new()
    {
        ModelName = name,
        WorkspaceId = defaultDI9fsL.Id,
        Origin = "Civitai",
        Task = "text-to-image-synthesis",
        Accessibility = "PRIVATE",
        ModelType = "Checkpoint",
        OrderNumber = 1,
        ModelDescription = "ModelDescription.",
        ModelDoc = "https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors",
        Domain = "aigc",
        Labels = new[]
        {
            new AliCloud.Pai.Inputs.WorkspaceModelLabelArgs
            {
                Key = "base_model",
                Value = "SD 1.5",
            },
        },
        ExtraInfo = 
        {
            { "test", "15" },
        },
    });

    var defaultWorkspaceModelVersion = new AliCloud.Pai.WorkspaceModelVersion("default", new()
    {
        VersionDescription = "VersionDescription.",
        SourceType = "TrainingService",
        SourceId = "region=${region},workspaceId=${workspace_id},kind=TrainingJob,id=job-id",
        ExtraInfo = 
        {
            { "test", "15" },
        },
        TrainingSpec = 
        {
            { "test", "TrainingSpec" },
        },
        Uri = "oss://hz-example-0701.oss-cn-hangzhou-internal.aliyuncs.com/checkpoints/",
        InferenceSpec = 
        {
            { "test", "InferenceSpec" },
        },
        ModelId = defaultsHptEL.Id,
        FormatType = "SavedModel",
        ApprovalStatus = "Pending",
        FrameworkType = "PyTorch",
        VersionName = "1.0.0",
        Metrics = null,
        Labels = new[]
        {
            new AliCloud.Pai.Inputs.WorkspaceModelVersionLabelArgs
            {
                Key = "k1",
                Value = "vs1",
            },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.random.integer;
import com.pulumi.random.integerArgs;
import com.pulumi.alicloud.pai.WorkspaceWorkspace;
import com.pulumi.alicloud.pai.WorkspaceWorkspaceArgs;
import com.pulumi.alicloud.pai.WorkspaceModel;
import com.pulumi.alicloud.pai.WorkspaceModelArgs;
import com.pulumi.alicloud.pai.inputs.WorkspaceModelLabelArgs;
import com.pulumi.alicloud.pai.WorkspaceModelVersion;
import com.pulumi.alicloud.pai.WorkspaceModelVersionArgs;
import com.pulumi.alicloud.pai.inputs.WorkspaceModelVersionLabelArgs;
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) {
        final var config = ctx.config();
        final var name = config.get("name").orElse("terraform_example");
        var default_ = new Integer("default", IntegerArgs.builder()
            .min(10000)
            .max(99999)
            .build());

        var defaultDI9fsL = new WorkspaceWorkspace("defaultDI9fsL", WorkspaceWorkspaceArgs.builder()
            .description("802")
            .displayName(name)
            .workspaceName(String.format("%s_%s", name,default_.result()))
            .envTypes("prod")
            .build());

        var defaultsHptEL = new WorkspaceModel("defaultsHptEL", WorkspaceModelArgs.builder()
            .modelName(name)
            .workspaceId(defaultDI9fsL.id())
            .origin("Civitai")
            .task("text-to-image-synthesis")
            .accessibility("PRIVATE")
            .modelType("Checkpoint")
            .orderNumber(1)
            .modelDescription("ModelDescription.")
            .modelDoc("https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors")
            .domain("aigc")
            .labels(WorkspaceModelLabelArgs.builder()
                .key("base_model")
                .value("SD 1.5")
                .build())
            .extraInfo(Map.of("test", "15"))
            .build());

        var defaultWorkspaceModelVersion = new WorkspaceModelVersion("defaultWorkspaceModelVersion", WorkspaceModelVersionArgs.builder()
            .versionDescription("VersionDescription.")
            .sourceType("TrainingService")
            .sourceId("region=${region},workspaceId=${workspace_id},kind=TrainingJob,id=job-id")
            .extraInfo(Map.of("test", "15"))
            .trainingSpec(Map.of("test", "TrainingSpec"))
            .uri("oss://hz-example-0701.oss-cn-hangzhou-internal.aliyuncs.com/checkpoints/")
            .inferenceSpec(Map.of("test", "InferenceSpec"))
            .modelId(defaultsHptEL.id())
            .formatType("SavedModel")
            .approvalStatus("Pending")
            .frameworkType("PyTorch")
            .versionName("1.0.0")
            .metrics(Map.ofEntries(
            ))
            .labels(WorkspaceModelVersionLabelArgs.builder()
                .key("k1")
                .value("vs1")
                .build())
            .build());

    }
}

    configuration:
  name:
    type: string
    default: terraform_example
resources:
  default:
    type: random:integer
    properties:
      min: 10000
      max: 99999
  defaultDI9fsL:
    type: alicloud:pai:WorkspaceWorkspace
    properties:
      description: '802'
      displayName: ${name}
      workspaceName: ${name}_${default.result}
      envTypes:
        - prod
  defaultsHptEL:
    type: alicloud:pai:WorkspaceModel
    properties:
      modelName: ${name}
      workspaceId: ${defaultDI9fsL.id}
      origin: Civitai
      task: text-to-image-synthesis
      accessibility: PRIVATE
      modelType: Checkpoint
      orderNumber: '1'
      modelDescription: ModelDescription.
      modelDoc: https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors
      domain: aigc
      labels:
        - key: base_model
          value: SD 1.5
      extraInfo:
        test: '15'
  defaultWorkspaceModelVersion:
    type: alicloud:pai:WorkspaceModelVersion
    name: default
    properties:
      versionDescription: VersionDescription.
      sourceType: TrainingService
      sourceId: region=$${region},workspaceId=$${workspace_id},kind=TrainingJob,id=job-id
      extraInfo:
        test: '15'
      trainingSpec:
        test: TrainingSpec
      uri: oss://hz-example-0701.oss-cn-hangzhou-internal.aliyuncs.com/checkpoints/
      inferenceSpec:
        test: InferenceSpec
      modelId: ${defaultsHptEL.id}
      formatType: SavedModel
      approvalStatus: Pending
      frameworkType: PyTorch
      versionName: 1.0.0
      metrics: {}
      labels:
        - key: k1
          value: vs1

    Create WorkspaceModelVersion Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new WorkspaceModelVersion(name: string, args: WorkspaceModelVersionArgs, opts?: CustomResourceOptions);
    @overload
def WorkspaceModelVersion(resource_name: str,
                          args: WorkspaceModelVersionArgs,
                          opts: Optional[ResourceOptions] = None)

@overload
def WorkspaceModelVersion(resource_name: str,
                          opts: Optional[ResourceOptions] = None,
                          model_id: Optional[str] = None,
                          uri: Optional[str] = None,
                          metrics: Optional[Mapping[str, str]] = None,
                          framework_type: Optional[str] = None,
                          inference_spec: Optional[Mapping[str, str]] = None,
                          labels: Optional[Sequence[WorkspaceModelVersionLabelArgs]] = None,
                          approval_status: Optional[str] = None,
                          format_type: Optional[str] = None,
                          options: Optional[str] = None,
                          source_id: Optional[str] = None,
                          source_type: Optional[str] = None,
                          training_spec: Optional[Mapping[str, str]] = None,
                          extra_info: Optional[Mapping[str, str]] = None,
                          version_description: Optional[str] = None,
                          version_name: Optional[str] = None)
    func NewWorkspaceModelVersion(ctx *Context, name string, args WorkspaceModelVersionArgs, opts ...ResourceOption) (*WorkspaceModelVersion, error)
    public WorkspaceModelVersion(string name, WorkspaceModelVersionArgs args, CustomResourceOptions? opts = null)
    public WorkspaceModelVersion(String name, WorkspaceModelVersionArgs args)
public WorkspaceModelVersion(String name, WorkspaceModelVersionArgs args, CustomResourceOptions options)

    type: alicloud:pai:WorkspaceModelVersion
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 WorkspaceModelVersionArgs
    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 WorkspaceModelVersionArgs
    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 WorkspaceModelVersionArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args WorkspaceModelVersionArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args WorkspaceModelVersionArgs
    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 workspaceModelVersionResource = new AliCloud.Pai.WorkspaceModelVersion("workspaceModelVersionResource", new()
{
    ModelId = "string",
    Uri = "string",
    Metrics = 
    {
        { "string", "string" },
    },
    FrameworkType = "string",
    InferenceSpec = 
    {
        { "string", "string" },
    },
    Labels = new[]
    {
        new AliCloud.Pai.Inputs.WorkspaceModelVersionLabelArgs
        {
            Key = "string",
            Value = "string",
        },
    },
    ApprovalStatus = "string",
    FormatType = "string",
    Options = "string",
    SourceId = "string",
    SourceType = "string",
    TrainingSpec = 
    {
        { "string", "string" },
    },
    ExtraInfo = 
    {
        { "string", "string" },
    },
    VersionDescription = "string",
    VersionName = "string",
});

    example, err := pai.NewWorkspaceModelVersion(ctx, "workspaceModelVersionResource", &pai.WorkspaceModelVersionArgs{
	ModelId: pulumi.String("string"),
	Uri:     pulumi.String("string"),
	Metrics: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	FrameworkType: pulumi.String("string"),
	InferenceSpec: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Labels: pai.WorkspaceModelVersionLabelArray{
		&pai.WorkspaceModelVersionLabelArgs{
			Key:   pulumi.String("string"),
			Value: pulumi.String("string"),
		},
	},
	ApprovalStatus: pulumi.String("string"),
	FormatType:     pulumi.String("string"),
	Options:        pulumi.String("string"),
	SourceId:       pulumi.String("string"),
	SourceType:     pulumi.String("string"),
	TrainingSpec: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	ExtraInfo: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	VersionDescription: pulumi.String("string"),
	VersionName:        pulumi.String("string"),
})

    var workspaceModelVersionResource = new WorkspaceModelVersion("workspaceModelVersionResource", WorkspaceModelVersionArgs.builder()
    .modelId("string")
    .uri("string")
    .metrics(Map.of("string", "string"))
    .frameworkType("string")
    .inferenceSpec(Map.of("string", "string"))
    .labels(WorkspaceModelVersionLabelArgs.builder()
        .key("string")
        .value("string")
        .build())
    .approvalStatus("string")
    .formatType("string")
    .options("string")
    .sourceId("string")
    .sourceType("string")
    .trainingSpec(Map.of("string", "string"))
    .extraInfo(Map.of("string", "string"))
    .versionDescription("string")
    .versionName("string")
    .build());

    workspace_model_version_resource = alicloud.pai.WorkspaceModelVersion("workspaceModelVersionResource",
    model_id="string",
    uri="string",
    metrics={
        "string": "string",
    },
    framework_type="string",
    inference_spec={
        "string": "string",
    },
    labels=[{
        "key": "string",
        "value": "string",
    }],
    approval_status="string",
    format_type="string",
    options="string",
    source_id="string",
    source_type="string",
    training_spec={
        "string": "string",
    },
    extra_info={
        "string": "string",
    },
    version_description="string",
    version_name="string")

    const workspaceModelVersionResource = new alicloud.pai.WorkspaceModelVersion("workspaceModelVersionResource", {
    modelId: "string",
    uri: "string",
    metrics: {
        string: "string",
    },
    frameworkType: "string",
    inferenceSpec: {
        string: "string",
    },
    labels: [{
        key: "string",
        value: "string",
    }],
    approvalStatus: "string",
    formatType: "string",
    options: "string",
    sourceId: "string",
    sourceType: "string",
    trainingSpec: {
        string: "string",
    },
    extraInfo: {
        string: "string",
    },
    versionDescription: "string",
    versionName: "string",
});

    type: alicloud:pai:WorkspaceModelVersion
properties:
    approvalStatus: string
    extraInfo:
        string: string
    formatType: string
    frameworkType: string
    inferenceSpec:
        string: string
    labels:
        - key: string
          value: string
    metrics:
        string: string
    modelId: string
    options: string
    sourceId: string
    sourceType: string
    trainingSpec:
        string: string
    uri: string
    versionDescription: string
    versionName: string

    WorkspaceModelVersion Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The WorkspaceModelVersion resource accepts the following input properties:

    ModelId string
    The model ID.
    Uri string
    The URI of the model version.
    ApprovalStatus string
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    ExtraInfo Dictionary<string, string>
    Other information.
    FormatType string
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    FrameworkType string
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    InferenceSpec Dictionary<string, string>
    Describes how to apply to downstream inference services.
    Labels List<Pulumi.AliCloud.Pai.Inputs.WorkspaceModelVersionLabel>
    List of model version labels. See labels below.
    Metrics Dictionary<string, string>
    The metrics for the model. The serialized length is limited to 8192.
    Options string
    The extended field. This is a JSON string.
    SourceId string
    The source ID.
    SourceType string
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    TrainingSpec Dictionary<string, string>
    The training configurations. Used for fine-tuning and incremental training.
    VersionDescription string
    The version descriptions.
    VersionName string
    The Model version.
    ModelId string
    The model ID.
    Uri string
    The URI of the model version.
    ApprovalStatus string
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    ExtraInfo map[string]string
    Other information.
    FormatType string
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    FrameworkType string
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    InferenceSpec map[string]string
    Describes how to apply to downstream inference services.
    Labels []WorkspaceModelVersionLabelArgs
    List of model version labels. See labels below.
    Metrics map[string]string
    The metrics for the model. The serialized length is limited to 8192.
    Options string
    The extended field. This is a JSON string.
    SourceId string
    The source ID.
    SourceType string
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    TrainingSpec map[string]string
    The training configurations. Used for fine-tuning and incremental training.
    VersionDescription string
    The version descriptions.
    VersionName string
    The Model version.
    modelId String
    The model ID.
    uri String
    The URI of the model version.
    approvalStatus String
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    extraInfo Map<String,String>
    Other information.
    formatType String
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    frameworkType String
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    inferenceSpec Map<String,String>
    Describes how to apply to downstream inference services.
    labels List<WorkspaceModelVersionLabel>
    List of model version labels. See labels below.
    metrics Map<String,String>
    The metrics for the model. The serialized length is limited to 8192.
    options String
    The extended field. This is a JSON string.
    sourceId String
    The source ID.
    sourceType String
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    trainingSpec Map<String,String>
    The training configurations. Used for fine-tuning and incremental training.
    versionDescription String
    The version descriptions.
    versionName String
    The Model version.
    modelId string
    The model ID.
    uri string
    The URI of the model version.
    approvalStatus string
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    extraInfo {[key: string]: string}
    Other information.
    formatType string
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    frameworkType string
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    inferenceSpec {[key: string]: string}
    Describes how to apply to downstream inference services.
    labels WorkspaceModelVersionLabel[]
    List of model version labels. See labels below.
    metrics {[key: string]: string}
    The metrics for the model. The serialized length is limited to 8192.
    options string
    The extended field. This is a JSON string.
    sourceId string
    The source ID.
    sourceType string
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    trainingSpec {[key: string]: string}
    The training configurations. Used for fine-tuning and incremental training.
    versionDescription string
    The version descriptions.
    versionName string
    The Model version.
    model_id str
    The model ID.
    uri str
    The URI of the model version.
    approval_status str
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    extra_info Mapping[str, str]
    Other information.
    format_type str
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    framework_type str
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    inference_spec Mapping[str, str]
    Describes how to apply to downstream inference services.
    labels Sequence[WorkspaceModelVersionLabelArgs]
    List of model version labels. See labels below.
    metrics Mapping[str, str]
    The metrics for the model. The serialized length is limited to 8192.
    options str
    The extended field. This is a JSON string.
    source_id str
    The source ID.
    source_type str
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    training_spec Mapping[str, str]
    The training configurations. Used for fine-tuning and incremental training.
    version_description str
    The version descriptions.
    version_name str
    The Model version.
    modelId String
    The model ID.
    uri String
    The URI of the model version.
    approvalStatus String
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    extraInfo Map<String>
    Other information.
    formatType String
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    frameworkType String
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    inferenceSpec Map<String>
    Describes how to apply to downstream inference services.
    labels List<Property Map>
    List of model version labels. See labels below.
    metrics Map<String>
    The metrics for the model. The serialized length is limited to 8192.
    options String
    The extended field. This is a JSON string.
    sourceId String
    The source ID.
    sourceType String
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    trainingSpec Map<String>
    The training configurations. Used for fine-tuning and incremental training.
    versionDescription String
    The version descriptions.
    versionName String
    The Model version.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the WorkspaceModelVersion resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing WorkspaceModelVersion Resource

    Get an existing WorkspaceModelVersion resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: WorkspaceModelVersionState, opts?: CustomResourceOptions): WorkspaceModelVersion
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        approval_status: Optional[str] = None,
        extra_info: Optional[Mapping[str, str]] = None,
        format_type: Optional[str] = None,
        framework_type: Optional[str] = None,
        inference_spec: Optional[Mapping[str, str]] = None,
        labels: Optional[Sequence[WorkspaceModelVersionLabelArgs]] = None,
        metrics: Optional[Mapping[str, str]] = None,
        model_id: Optional[str] = None,
        options: Optional[str] = None,
        source_id: Optional[str] = None,
        source_type: Optional[str] = None,
        training_spec: Optional[Mapping[str, str]] = None,
        uri: Optional[str] = None,
        version_description: Optional[str] = None,
        version_name: Optional[str] = None) -> WorkspaceModelVersion
    func GetWorkspaceModelVersion(ctx *Context, name string, id IDInput, state *WorkspaceModelVersionState, opts ...ResourceOption) (*WorkspaceModelVersion, error)
    public static WorkspaceModelVersion Get(string name, Input<string> id, WorkspaceModelVersionState? state, CustomResourceOptions? opts = null)
    public static WorkspaceModelVersion get(String name, Output<String> id, WorkspaceModelVersionState state, CustomResourceOptions options)
    resources:  _:    type: alicloud:pai:WorkspaceModelVersion    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    ApprovalStatus string
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    ExtraInfo Dictionary<string, string>
    Other information.
    FormatType string
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    FrameworkType string
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    InferenceSpec Dictionary<string, string>
    Describes how to apply to downstream inference services.
    Labels List<Pulumi.AliCloud.Pai.Inputs.WorkspaceModelVersionLabel>
    List of model version labels. See labels below.
    Metrics Dictionary<string, string>
    The metrics for the model. The serialized length is limited to 8192.
    ModelId string
    The model ID.
    Options string
    The extended field. This is a JSON string.
    SourceId string
    The source ID.
    SourceType string
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    TrainingSpec Dictionary<string, string>
    The training configurations. Used for fine-tuning and incremental training.
    Uri string
    The URI of the model version.
    VersionDescription string
    The version descriptions.
    VersionName string
    The Model version.
    ApprovalStatus string
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    ExtraInfo map[string]string
    Other information.
    FormatType string
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    FrameworkType string
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    InferenceSpec map[string]string
    Describes how to apply to downstream inference services.
    Labels []WorkspaceModelVersionLabelArgs
    List of model version labels. See labels below.
    Metrics map[string]string
    The metrics for the model. The serialized length is limited to 8192.
    ModelId string
    The model ID.
    Options string
    The extended field. This is a JSON string.
    SourceId string
    The source ID.
    SourceType string
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    TrainingSpec map[string]string
    The training configurations. Used for fine-tuning and incremental training.
    Uri string
    The URI of the model version.
    VersionDescription string
    The version descriptions.
    VersionName string
    The Model version.
    approvalStatus String
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    extraInfo Map<String,String>
    Other information.
    formatType String
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    frameworkType String
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    inferenceSpec Map<String,String>
    Describes how to apply to downstream inference services.
    labels List<WorkspaceModelVersionLabel>
    List of model version labels. See labels below.
    metrics Map<String,String>
    The metrics for the model. The serialized length is limited to 8192.
    modelId String
    The model ID.
    options String
    The extended field. This is a JSON string.
    sourceId String
    The source ID.
    sourceType String
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    trainingSpec Map<String,String>
    The training configurations. Used for fine-tuning and incremental training.
    uri String
    The URI of the model version.
    versionDescription String
    The version descriptions.
    versionName String
    The Model version.
    approvalStatus string
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    extraInfo {[key: string]: string}
    Other information.
    formatType string
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    frameworkType string
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    inferenceSpec {[key: string]: string}
    Describes how to apply to downstream inference services.
    labels WorkspaceModelVersionLabel[]
    List of model version labels. See labels below.
    metrics {[key: string]: string}
    The metrics for the model. The serialized length is limited to 8192.
    modelId string
    The model ID.
    options string
    The extended field. This is a JSON string.
    sourceId string
    The source ID.
    sourceType string
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    trainingSpec {[key: string]: string}
    The training configurations. Used for fine-tuning and incremental training.
    uri string
    The URI of the model version.
    versionDescription string
    The version descriptions.
    versionName string
    The Model version.
    approval_status str
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    extra_info Mapping[str, str]
    Other information.
    format_type str
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    framework_type str
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    inference_spec Mapping[str, str]
    Describes how to apply to downstream inference services.
    labels Sequence[WorkspaceModelVersionLabelArgs]
    List of model version labels. See labels below.
    metrics Mapping[str, str]
    The metrics for the model. The serialized length is limited to 8192.
    model_id str
    The model ID.
    options str
    The extended field. This is a JSON string.
    source_id str
    The source ID.
    source_type str
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    training_spec Mapping[str, str]
    The training configurations. Used for fine-tuning and incremental training.
    uri str
    The URI of the model version.
    version_description str
    The version descriptions.
    version_name str
    The Model version.
    approvalStatus String
    The approval status. Valid values:

    • Pending: To be determined.
    • Approved: Allow to go online.
    • Rejected: Online is not allowed.
    extraInfo Map<String>
    Other information.
    formatType String
    The format of the model. Valid values:

    • OfflineModel
    • SavedModel
    • Keras H5
    • Frozen Pb
    • Caffe Prototxt
    • TorchScript
    • XGBoost
    • PMML
    • AlinkModel
    • ONNX
    frameworkType String
    The framework of the model. Valid values:

    • Pytorch
    • XGBoost
    • Keras
    • Caffe
    • Alink
    • Xflow
    • TensorFlow
    inferenceSpec Map<String>
    Describes how to apply to downstream inference services.
    labels List<Property Map>
    List of model version labels. See labels below.
    metrics Map<String>
    The metrics for the model. The serialized length is limited to 8192.
    modelId String
    The model ID.
    options String
    The extended field. This is a JSON string.
    sourceId String
    The source ID.
    sourceType String
    The type of the model source. Valid values:

    • Custom: Custom.
    • PAIFlow:PAI workflow.
    • TrainingService:PAI training service.
    trainingSpec Map<String>
    The training configurations. Used for fine-tuning and incremental training.
    uri String
    The URI of the model version.
    versionDescription String
    The version descriptions.
    versionName String
    The Model version.

    Supporting Types

    WorkspaceModelVersionLabel, WorkspaceModelVersionLabelArgs

    Key string
    label key.
    Value string
    label value.
    Key string
    label key.
    Value string
    label value.
    key String
    label key.
    value String
    label value.
    key string
    label key.
    value string
    label value.
    key str
    label key.
    value str
    label value.
    key String
    label key.
    value String
    label value.

    Import

    PAI Workspace Model Version can be imported using the id, e.g.

    $ pulumi import alicloud:pai/workspaceModelVersion:WorkspaceModelVersion example <model_id>:<version_name>

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    Alibaba Cloud pulumi/pulumi-alicloud
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the alicloud Terraform Provider.
    alicloud logo
    Alibaba Cloud v3.78.0 published on Friday, May 16, 2025 by Pulumi
    pulumi/pulumi-alicloud