ExperimentPlan

class ExperimentPlan : KotlinCustomResource

Provides a Eflo Experiment Plan resource. For information about Eflo Experiment Plan and how to use it, see What is Experiment Plan.

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 defaultpSZN7t = new alicloud.eflo.ExperimentPlanTemplate("defaultpSZN7t", {
templatePipelines: [{
workloadId: 2,
workloadName: "MatMul",
envParams: {
cpuPerWorker: 90,
gpuPerWorker: 8,
memoryPerWorker: 500,
shareMemory: 500,
workerNum: 1,
pyTorchVersion: "1",
gpuDriverVersion: "1",
cudaVersion: "1",
ncclVersion: "1",
},
pipelineOrder: 1,
scene: "baseline",
}],
privacyLevel: "private",
templateName: name,
templateDescription: name,
});
const defaultResource = new alicloud.eflo.Resource("default", {
userAccessParam: {
accessId: "your_access_id",
accessKey: "your_access_key",
workspaceId: "your_workspace_id",
endpoint: "your_endpoint",
},
clusterId: `terraform-${_default.result}`,
machineTypes: {
memoryInfo: "32x 64GB DDR4 4800 Memory",
type: "Private",
bondNum: 5,
nodeCount: 1,
cpuInfo: "2x Intel Saphhire Rapid 8469C 48C CPU",
networkInfo: "1x 200Gbps Dual Port BF3 DPU for VPC 4x 200Gbps Dual Port EIC",
gpuInfo: "8x OAM 810 GPU",
diskInfo: "2x 480GB SATA SSD 4x 3.84TB NVMe SSD",
networkMode: "net",
name: "lingjun",
},
clusterName: name,
clusterDesc: name,
});
const defaultExperimentPlan = new alicloud.eflo.ExperimentPlan("default", {
resourceId: defaultResource.resourceId,
planName: name,
templateId: defaultpSZN7t.id,
});
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)
defaultp_szn7t = alicloud.eflo.ExperimentPlanTemplate("defaultpSZN7t",
template_pipelines=[{
"workload_id": 2,
"workload_name": "MatMul",
"env_params": {
"cpu_per_worker": 90,
"gpu_per_worker": 8,
"memory_per_worker": 500,
"share_memory": 500,
"worker_num": 1,
"py_torch_version": "1",
"gpu_driver_version": "1",
"cuda_version": "1",
"nccl_version": "1",
},
"pipeline_order": 1,
"scene": "baseline",
}],
privacy_level="private",
template_name=name,
template_description=name)
default_resource = alicloud.eflo.Resource("default",
user_access_param={
"access_id": "your_access_id",
"access_key": "your_access_key",
"workspace_id": "your_workspace_id",
"endpoint": "your_endpoint",
},
cluster_id=f"terraform-{default['result']}",
machine_types={
"memory_info": "32x 64GB DDR4 4800 Memory",
"type": "Private",
"bond_num": 5,
"node_count": 1,
"cpu_info": "2x Intel Saphhire Rapid 8469C 48C CPU",
"network_info": "1x 200Gbps Dual Port BF3 DPU for VPC 4x 200Gbps Dual Port EIC",
"gpu_info": "8x OAM 810 GPU",
"disk_info": "2x 480GB SATA SSD 4x 3.84TB NVMe SSD",
"network_mode": "net",
"name": "lingjun",
},
cluster_name=name,
cluster_desc=name)
default_experiment_plan = alicloud.eflo.ExperimentPlan("default",
resource_id=default_resource.resource_id,
plan_name=name,
template_id=defaultp_szn7t.id)
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 defaultpSZN7t = new AliCloud.Eflo.ExperimentPlanTemplate("defaultpSZN7t", new()
{
TemplatePipelines = new[]
{
new AliCloud.Eflo.Inputs.ExperimentPlanTemplateTemplatePipelineArgs
{
WorkloadId = 2,
WorkloadName = "MatMul",
EnvParams = new AliCloud.Eflo.Inputs.ExperimentPlanTemplateTemplatePipelineEnvParamsArgs
{
CpuPerWorker = 90,
GpuPerWorker = 8,
MemoryPerWorker = 500,
ShareMemory = 500,
WorkerNum = 1,
PyTorchVersion = "1",
GpuDriverVersion = "1",
CudaVersion = "1",
NcclVersion = "1",
},
PipelineOrder = 1,
Scene = "baseline",
},
},
PrivacyLevel = "private",
TemplateName = name,
TemplateDescription = name,
});
var defaultResource = new AliCloud.Eflo.Resource("default", new()
{
UserAccessParam = new AliCloud.Eflo.Inputs.ResourceUserAccessParamArgs
{
AccessId = "your_access_id",
AccessKey = "your_access_key",
WorkspaceId = "your_workspace_id",
Endpoint = "your_endpoint",
},
ClusterId = $"terraform-{@default.Result}",
MachineTypes = new AliCloud.Eflo.Inputs.ResourceMachineTypesArgs
{
MemoryInfo = "32x 64GB DDR4 4800 Memory",
Type = "Private",
BondNum = 5,
NodeCount = 1,
CpuInfo = "2x Intel Saphhire Rapid 8469C 48C CPU",
NetworkInfo = "1x 200Gbps Dual Port BF3 DPU for VPC 4x 200Gbps Dual Port EIC",
GpuInfo = "8x OAM 810 GPU",
DiskInfo = "2x 480GB SATA SSD 4x 3.84TB NVMe SSD",
NetworkMode = "net",
Name = "lingjun",
},
ClusterName = name,
ClusterDesc = name,
});
var defaultExperimentPlan = new AliCloud.Eflo.ExperimentPlan("default", new()
{
ResourceId = defaultResource.ResourceId,
PlanName = name,
TemplateId = defaultpSZN7t.Id,
});
});
package main
import (
"fmt"
"github.com/pulumi/pulumi-alicloud/sdk/v3/go/alicloud/eflo"
"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
}
defaultpSZN7t, err := eflo.NewExperimentPlanTemplate(ctx, "defaultpSZN7t", &eflo.ExperimentPlanTemplateArgs{
TemplatePipelines: eflo.ExperimentPlanTemplateTemplatePipelineArray{
&eflo.ExperimentPlanTemplateTemplatePipelineArgs{
WorkloadId: pulumi.Int(2),
WorkloadName: pulumi.String("MatMul"),
EnvParams: &eflo.ExperimentPlanTemplateTemplatePipelineEnvParamsArgs{
CpuPerWorker: pulumi.Int(90),
GpuPerWorker: pulumi.Int(8),
MemoryPerWorker: pulumi.Int(500),
ShareMemory: pulumi.Int(500),
WorkerNum: pulumi.Int(1),
PyTorchVersion: pulumi.String("1"),
GpuDriverVersion: pulumi.String("1"),
CudaVersion: pulumi.String("1"),
NcclVersion: pulumi.String("1"),
},
PipelineOrder: pulumi.Int(1),
Scene: pulumi.String("baseline"),
},
},
PrivacyLevel: pulumi.String("private"),
TemplateName: pulumi.String(name),
TemplateDescription: pulumi.String(name),
})
if err != nil {
return err
}
defaultResource, err := eflo.NewResource(ctx, "default", &eflo.ResourceArgs{
UserAccessParam: &eflo.ResourceUserAccessParamArgs{
AccessId: pulumi.String("your_access_id"),
AccessKey: pulumi.String("your_access_key"),
WorkspaceId: pulumi.String("your_workspace_id"),
Endpoint: pulumi.String("your_endpoint"),
},
ClusterId: pulumi.Sprintf("terraform-%v", _default.Result),
MachineTypes: &eflo.ResourceMachineTypesArgs{
MemoryInfo: pulumi.String("32x 64GB DDR4 4800 Memory"),
Type: pulumi.String("Private"),
BondNum: pulumi.Int(5),
NodeCount: pulumi.Int(1),
CpuInfo: pulumi.String("2x Intel Saphhire Rapid 8469C 48C CPU"),
NetworkInfo: pulumi.String("1x 200Gbps Dual Port BF3 DPU for VPC 4x 200Gbps Dual Port EIC"),
GpuInfo: pulumi.String("8x OAM 810 GPU"),
DiskInfo: pulumi.String("2x 480GB SATA SSD 4x 3.84TB NVMe SSD"),
NetworkMode: pulumi.String("net"),
Name: pulumi.String("lingjun"),
},
ClusterName: pulumi.String(name),
ClusterDesc: pulumi.String(name),
})
if err != nil {
return err
}
_, err = eflo.NewExperimentPlan(ctx, "default", &eflo.ExperimentPlanArgs{
ResourceId: defaultResource.ResourceId,
PlanName: pulumi.String(name),
TemplateId: defaultpSZN7t.ID(),
})
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.random.integer;
import com.pulumi.random.integerArgs;
import com.pulumi.alicloud.eflo.ExperimentPlanTemplate;
import com.pulumi.alicloud.eflo.ExperimentPlanTemplateArgs;
import com.pulumi.alicloud.eflo.inputs.ExperimentPlanTemplateTemplatePipelineArgs;
import com.pulumi.alicloud.eflo.inputs.ExperimentPlanTemplateTemplatePipelineEnvParamsArgs;
import com.pulumi.alicloud.eflo.Resource;
import com.pulumi.alicloud.eflo.ResourceArgs;
import com.pulumi.alicloud.eflo.inputs.ResourceUserAccessParamArgs;
import com.pulumi.alicloud.eflo.inputs.ResourceMachineTypesArgs;
import com.pulumi.alicloud.eflo.ExperimentPlan;
import com.pulumi.alicloud.eflo.ExperimentPlanArgs;
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 defaultpSZN7t = new ExperimentPlanTemplate("defaultpSZN7t", ExperimentPlanTemplateArgs.builder()
.templatePipelines(ExperimentPlanTemplateTemplatePipelineArgs.builder()
.workloadId(2)
.workloadName("MatMul")
.envParams(ExperimentPlanTemplateTemplatePipelineEnvParamsArgs.builder()
.cpuPerWorker(90)
.gpuPerWorker(8)
.memoryPerWorker(500)
.shareMemory(500)
.workerNum(1)
.pyTorchVersion("1")
.gpuDriverVersion("1")
.cudaVersion("1")
.ncclVersion("1")
.build())
.pipelineOrder(1)
.scene("baseline")
.build())
.privacyLevel("private")
.templateName(name)
.templateDescription(name)
.build());
var defaultResource = new Resource("defaultResource", ResourceArgs.builder()
.userAccessParam(ResourceUserAccessParamArgs.builder()
.accessId("your_access_id")
.accessKey("your_access_key")
.workspaceId("your_workspace_id")
.endpoint("your_endpoint")
.build())
.clusterId(String.format("terraform-%s", default_.result()))
.machineTypes(ResourceMachineTypesArgs.builder()
.memoryInfo("32x 64GB DDR4 4800 Memory")
.type("Private")
.bondNum(5)
.nodeCount(1)
.cpuInfo("2x Intel Saphhire Rapid 8469C 48C CPU")
.networkInfo("1x 200Gbps Dual Port BF3 DPU for VPC 4x 200Gbps Dual Port EIC")
.gpuInfo("8x OAM 810 GPU")
.diskInfo("2x 480GB SATA SSD 4x 3.84TB NVMe SSD")
.networkMode("net")
.name("lingjun")
.build())
.clusterName(name)
.clusterDesc(name)
.build());
var defaultExperimentPlan = new ExperimentPlan("defaultExperimentPlan", ExperimentPlanArgs.builder()
.resourceId(defaultResource.resourceId())
.planName(name)
.templateId(defaultpSZN7t.id())
.build());
}
}
configuration:
name:
type: string
default: terraform-example
resources:
default:
type: random:integer
properties:
min: 10000
max: 99999
defaultpSZN7t:
type: alicloud:eflo:ExperimentPlanTemplate
properties:
templatePipelines:
- workloadId: '2'
workloadName: MatMul
envParams:
cpuPerWorker: '90'
gpuPerWorker: '8'
memoryPerWorker: '500'
shareMemory: '500'
workerNum: '1'
pyTorchVersion: '1'
gpuDriverVersion: '1'
cudaVersion: '1'
ncclVersion: '1'
pipelineOrder: '1'
scene: baseline
privacyLevel: private
templateName: ${name}
templateDescription: ${name}
defaultResource:
type: alicloud:eflo:Resource
name: default
properties:
userAccessParam:
accessId: your_access_id
accessKey: your_access_key
workspaceId: your_workspace_id
endpoint: your_endpoint
clusterId: terraform-${default.result}
machineTypes:
memoryInfo: 32x 64GB DDR4 4800 Memory
type: Private
bondNum: '5'
nodeCount: '1'
cpuInfo: 2x Intel Saphhire Rapid 8469C 48C CPU
networkInfo: 1x 200Gbps Dual Port BF3 DPU for VPC 4x 200Gbps Dual Port EIC
gpuInfo: 8x OAM 810 GPU
diskInfo: 2x 480GB SATA SSD 4x 3.84TB NVMe SSD
networkMode: net
name: lingjun
clusterName: ${name}
clusterDesc: ${name}
defaultExperimentPlan:
type: alicloud:eflo:ExperimentPlan
name: default
properties:
resourceId: ${defaultResource.resourceId}
planName: ${name}
templateId: ${defaultpSZN7t.id}

Import

Eflo Experiment Plan can be imported using the id, e.g.

$ pulumi import alicloud:eflo/experimentPlan:ExperimentPlan example <id>

Properties

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val createTime: Output<String>

The creation time of the resource.

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Additional operating parameters. You can include information about the specified node.

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val id: Output<String>
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val planName: Output<String>

Indicates the name of the experiment plan, which is used to distinguish different experiment plans.

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val pulumiChildResources: Set<KotlinResource>
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val resourceGroupId: Output<String>

The ID of the resource group.

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val resourceId: Output<Int>

The ID of the resource.

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val tags: Output<Map<String, String>>?

The tag of the resource.

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val templateId: Output<Int>

The ID of the template.

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val urn: Output<String>