@pulumi/azure-native
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91 lines • 10.2 kB
JavaScript
;
// *** WARNING: this file was generated by pulumi-language-nodejs. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
Object.defineProperty(exports, "__esModule", { value: true });
exports.InferencePool = void 0;
const pulumi = require("@pulumi/pulumi");
const inputs = require("../types/input");
const utilities = require("../utilities");
/**
* Uses Azure REST API version 2025-01-01-preview. In version 2.x of the Azure Native provider, it used API version 2023-08-01-preview.
*
* Other available API versions: 2023-08-01-preview, 2024-01-01-preview, 2024-10-01-preview, 2025-04-01-preview, 2025-07-01-preview. These can be accessed by generating a local SDK package using the CLI command `pulumi package add azure-native machinelearningservices [ApiVersion]`. See the [version guide](../../../version-guide/#accessing-any-api-version-via-local-packages) for details.
*/
class InferencePool extends pulumi.CustomResource {
/**
* Get an existing InferencePool resource's state with the given name, ID, and optional extra
* properties used to qualify the lookup.
*
* @param name The _unique_ name of the resulting resource.
* @param id The _unique_ provider ID of the resource to lookup.
* @param opts Optional settings to control the behavior of the CustomResource.
*/
static get(name, id, opts) {
return new InferencePool(name, undefined, Object.assign(Object.assign({}, opts), { id: id }));
}
/**
* Returns true if the given object is an instance of InferencePool. This is designed to work even
* when multiple copies of the Pulumi SDK have been loaded into the same process.
*/
static isInstance(obj) {
if (obj === undefined || obj === null) {
return false;
}
return obj['__pulumiType'] === InferencePool.__pulumiType;
}
/**
* Create a InferencePool resource with the given unique name, arguments, and options.
*
* @param name The _unique_ name of the resource.
* @param args The arguments to use to populate this resource's properties.
* @param opts A bag of options that control this resource's behavior.
*/
constructor(name, args, opts) {
let resourceInputs = {};
opts = opts || {};
if (!opts.id) {
if ((!args || args.inferencePoolProperties === undefined) && !opts.urn) {
throw new Error("Missing required property 'inferencePoolProperties'");
}
if ((!args || args.resourceGroupName === undefined) && !opts.urn) {
throw new Error("Missing required property 'resourceGroupName'");
}
if ((!args || args.workspaceName === undefined) && !opts.urn) {
throw new Error("Missing required property 'workspaceName'");
}
resourceInputs["identity"] = args ? args.identity : undefined;
resourceInputs["inferencePoolName"] = args ? args.inferencePoolName : undefined;
resourceInputs["inferencePoolProperties"] = args ? (args.inferencePoolProperties ? pulumi.output(args.inferencePoolProperties).apply(inputs.machinelearningservices.inferencePoolArgsProvideDefaults) : undefined) : undefined;
resourceInputs["kind"] = args ? args.kind : undefined;
resourceInputs["location"] = args ? args.location : undefined;
resourceInputs["resourceGroupName"] = args ? args.resourceGroupName : undefined;
resourceInputs["sku"] = args ? args.sku : undefined;
resourceInputs["tags"] = args ? args.tags : undefined;
resourceInputs["workspaceName"] = args ? args.workspaceName : undefined;
resourceInputs["azureApiVersion"] = undefined /*out*/;
resourceInputs["name"] = undefined /*out*/;
resourceInputs["systemData"] = undefined /*out*/;
resourceInputs["type"] = undefined /*out*/;
}
else {
resourceInputs["azureApiVersion"] = undefined /*out*/;
resourceInputs["identity"] = undefined /*out*/;
resourceInputs["inferencePoolProperties"] = undefined /*out*/;
resourceInputs["kind"] = undefined /*out*/;
resourceInputs["location"] = undefined /*out*/;
resourceInputs["name"] = undefined /*out*/;
resourceInputs["sku"] = undefined /*out*/;
resourceInputs["systemData"] = undefined /*out*/;
resourceInputs["tags"] = undefined /*out*/;
resourceInputs["type"] = undefined /*out*/;
}
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
const aliasOpts = { aliases: [{ type: "azure-native:machinelearningservices/v20230801preview:InferencePool" }, { type: "azure-native:machinelearningservices/v20240101preview:InferencePool" }, { type: "azure-native:machinelearningservices/v20240401preview:InferencePool" }, { type: "azure-native:machinelearningservices/v20241001preview:InferencePool" }, { type: "azure-native:machinelearningservices/v20250101preview:InferencePool" }, { type: "azure-native:machinelearningservices/v20250401preview:InferencePool" }, { type: "azure-native:machinelearningservices/v20250701preview:InferencePool" }] };
opts = pulumi.mergeOptions(opts, aliasOpts);
super(InferencePool.__pulumiType, name, resourceInputs, opts);
}
}
exports.InferencePool = InferencePool;
/** @internal */
InferencePool.__pulumiType = 'azure-native:machinelearningservices:InferencePool';
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