flexibleengine 1.46.0 published on Monday, Apr 14, 2025 by flexibleenginecloud
flexibleengine.getModelartsModelTemplates
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Explain and create a flexibleengine.getModelartsModelTemplates resource
flexibleengine 1.46.0 published on Monday, Apr 14, 2025 by flexibleenginecloud
Use this data source to get model templates of ModelArts.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as flexibleengine from "@pulumi/flexibleengine";
const test = flexibleengine.getModelartsModelTemplates({
type: "Classification",
});
import pulumi
import pulumi_flexibleengine as flexibleengine
test = flexibleengine.get_modelarts_model_templates(type="Classification")
package main
import (
"github.com/pulumi/pulumi-terraform-provider/sdks/go/flexibleengine/flexibleengine"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := flexibleengine.GetModelartsModelTemplates(ctx, &flexibleengine.GetModelartsModelTemplatesArgs{
Type: pulumi.StringRef("Classification"),
}, nil)
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Flexibleengine = Pulumi.Flexibleengine;
return await Deployment.RunAsync(() =>
{
var test = Flexibleengine.GetModelartsModelTemplates.Invoke(new()
{
Type = "Classification",
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.flexibleengine.FlexibleengineFunctions;
import com.pulumi.flexibleengine.inputs.GetModelartsModelTemplatesArgs;
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 test = FlexibleengineFunctions.getModelartsModelTemplates(GetModelartsModelTemplatesArgs.builder()
.type("Classification")
.build());
}
}
variables:
test:
fn::invoke:
function: flexibleengine:getModelartsModelTemplates
arguments:
type: Classification
Using getModelartsModelTemplates
Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.
function getModelartsModelTemplates(args: GetModelartsModelTemplatesArgs, opts?: InvokeOptions): Promise<GetModelartsModelTemplatesResult>
function getModelartsModelTemplatesOutput(args: GetModelartsModelTemplatesOutputArgs, opts?: InvokeOptions): Output<GetModelartsModelTemplatesResult>def get_modelarts_model_templates(engine: Optional[str] = None,
environment: Optional[str] = None,
id: Optional[str] = None,
keyword: Optional[str] = None,
region: Optional[str] = None,
type: Optional[str] = None,
opts: Optional[InvokeOptions] = None) -> GetModelartsModelTemplatesResult
def get_modelarts_model_templates_output(engine: Optional[pulumi.Input[str]] = None,
environment: Optional[pulumi.Input[str]] = None,
id: Optional[pulumi.Input[str]] = None,
keyword: Optional[pulumi.Input[str]] = None,
region: Optional[pulumi.Input[str]] = None,
type: Optional[pulumi.Input[str]] = None,
opts: Optional[InvokeOptions] = None) -> Output[GetModelartsModelTemplatesResult]func GetModelartsModelTemplates(ctx *Context, args *GetModelartsModelTemplatesArgs, opts ...InvokeOption) (*GetModelartsModelTemplatesResult, error)
func GetModelartsModelTemplatesOutput(ctx *Context, args *GetModelartsModelTemplatesOutputArgs, opts ...InvokeOption) GetModelartsModelTemplatesResultOutput> Note: This function is named GetModelartsModelTemplates in the Go SDK.
public static class GetModelartsModelTemplates
{
public static Task<GetModelartsModelTemplatesResult> InvokeAsync(GetModelartsModelTemplatesArgs args, InvokeOptions? opts = null)
public static Output<GetModelartsModelTemplatesResult> Invoke(GetModelartsModelTemplatesInvokeArgs args, InvokeOptions? opts = null)
}public static CompletableFuture<GetModelartsModelTemplatesResult> getModelartsModelTemplates(GetModelartsModelTemplatesArgs args, InvokeOptions options)
public static Output<GetModelartsModelTemplatesResult> getModelartsModelTemplates(GetModelartsModelTemplatesArgs args, InvokeOptions options)
fn::invoke:
function: flexibleengine:index/getModelartsModelTemplates:getModelartsModelTemplates
arguments:
# arguments dictionaryThe following arguments are supported:
- Engine string
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - Environment string
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - Id string
- The ID of the input parameter.
- Keyword string
- Keywords to search in name or description. Fuzzy match is supported.
- Region string
- Specifies the region in which to query the data source. If omitted, the provider-level region will be used.
- Type string
- The type of model. The valid values are Classification and Common.
- Engine string
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - Environment string
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - Id string
- The ID of the input parameter.
- Keyword string
- Keywords to search in name or description. Fuzzy match is supported.
- Region string
- Specifies the region in which to query the data source. If omitted, the provider-level region will be used.
- Type string
- The type of model. The valid values are Classification and Common.
- engine String
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - environment String
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - id String
- The ID of the input parameter.
- keyword String
- Keywords to search in name or description. Fuzzy match is supported.
- region String
- Specifies the region in which to query the data source. If omitted, the provider-level region will be used.
- type String
- The type of model. The valid values are Classification and Common.
- engine string
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - environment string
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - id string
- The ID of the input parameter.
- keyword string
- Keywords to search in name or description. Fuzzy match is supported.
- region string
- Specifies the region in which to query the data source. If omitted, the provider-level region will be used.
- type string
- The type of model. The valid values are Classification and Common.
- engine str
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - environment str
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - id str
- The ID of the input parameter.
- keyword str
- Keywords to search in name or description. Fuzzy match is supported.
- region str
- Specifies the region in which to query the data source. If omitted, the provider-level region will be used.
- type str
- The type of model. The valid values are Classification and Common.
- engine String
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - environment String
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - id String
- The ID of the input parameter.
- keyword String
- Keywords to search in name or description. Fuzzy match is supported.
- region String
- Specifies the region in which to query the data source. If omitted, the provider-level region will be used.
- type String
- The type of model. The valid values are Classification and Common.
getModelartsModelTemplates Result
The following output properties are available:
- Id string
- The ID of the input parameter.
- Region string
- Templates
List<Get
Modelarts Model Templates Template> - The list of model templates. The templates structure is documented below.
- Engine string
- The AI engine.
The valid values are Caffe, MXNet, MindSpore, PyTorch, and TensorFlow. - Environment string
- Model runtime environment.
The valid values are aarch64, python2.7, python2.7-cpu, python2.7-gpu, python3.6, python3.6-gpu, and python3.6-gpu. - Keyword string
- Type string
- The type of the input parameter.
- Id string
- The ID of the input parameter.
- Region string
- Templates
[]Get
Modelarts Model Templates Template - The list of model templates. The templates structure is documented below.
- Engine string
- The AI engine.
The valid values are Caffe, MXNet, MindSpore, PyTorch, and TensorFlow. - Environment string
- Model runtime environment.
The valid values are aarch64, python2.7, python2.7-cpu, python2.7-gpu, python3.6, python3.6-gpu, and python3.6-gpu. - Keyword string
- Type string
- The type of the input parameter.
- id String
- The ID of the input parameter.
- region String
- templates
List<Get
Modelarts Model Templates Template> - The list of model templates. The templates structure is documented below.
- engine String
- The AI engine.
The valid values are Caffe, MXNet, MindSpore, PyTorch, and TensorFlow. - environment String
- Model runtime environment.
The valid values are aarch64, python2.7, python2.7-cpu, python2.7-gpu, python3.6, python3.6-gpu, and python3.6-gpu. - keyword String
- type String
- The type of the input parameter.
- id string
- The ID of the input parameter.
- region string
- templates
Get
Modelarts Model Templates Template[] - The list of model templates. The templates structure is documented below.
- engine string
- The AI engine.
The valid values are Caffe, MXNet, MindSpore, PyTorch, and TensorFlow. - environment string
- Model runtime environment.
The valid values are aarch64, python2.7, python2.7-cpu, python2.7-gpu, python3.6, python3.6-gpu, and python3.6-gpu. - keyword string
- type string
- The type of the input parameter.
- id str
- The ID of the input parameter.
- region str
- templates
Sequence[Get
Modelarts Model Templates Template] - The list of model templates. The templates structure is documented below.
- engine str
- The AI engine.
The valid values are Caffe, MXNet, MindSpore, PyTorch, and TensorFlow. - environment str
- Model runtime environment.
The valid values are aarch64, python2.7, python2.7-cpu, python2.7-gpu, python3.6, python3.6-gpu, and python3.6-gpu. - keyword str
- type str
- The type of the input parameter.
- id String
- The ID of the input parameter.
- region String
- templates List<Property Map>
- The list of model templates. The templates structure is documented below.
- engine String
- The AI engine.
The valid values are Caffe, MXNet, MindSpore, PyTorch, and TensorFlow. - environment String
- Model runtime environment.
The valid values are aarch64, python2.7, python2.7-cpu, python2.7-gpu, python3.6, python3.6-gpu, and python3.6-gpu. - keyword String
- type String
- The type of the input parameter.
Supporting Types
GetModelartsModelTemplatesTemplate
- Arch string
- Description string
- The description of the input parameter.
- Engine string
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - Environment string
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - Id string
- The ID of the input parameter.
- Name string
- The name of the input parameter.
- Template
Docs List<GetModelarts Model Templates Template Template Doc> - List of template description documents.
The template_docs structure is documented below. - Template
Inputs List<GetModelarts Model Templates Template Template Input> - List of input parameters for the model. The template_inputs structure is documented below.
- Type string
- The type of model. The valid values are Classification and Common.
- Arch string
- Description string
- The description of the input parameter.
- Engine string
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - Environment string
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - Id string
- The ID of the input parameter.
- Name string
- The name of the input parameter.
- Template
Docs []GetModelarts Model Templates Template Template Doc - List of template description documents.
The template_docs structure is documented below. - Template
Inputs []GetModelarts Model Templates Template Template Input - List of input parameters for the model. The template_inputs structure is documented below.
- Type string
- The type of model. The valid values are Classification and Common.
- arch String
- description String
- The description of the input parameter.
- engine String
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - environment String
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - id String
- The ID of the input parameter.
- name String
- The name of the input parameter.
- template
Docs List<GetModelarts Model Templates Template Template Doc> - List of template description documents.
The template_docs structure is documented below. - template
Inputs List<GetModelarts Model Templates Template Template Input> - List of input parameters for the model. The template_inputs structure is documented below.
- type String
- The type of model. The valid values are Classification and Common.
- arch string
- description string
- The description of the input parameter.
- engine string
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - environment string
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - id string
- The ID of the input parameter.
- name string
- The name of the input parameter.
- template
Docs GetModelarts Model Templates Template Template Doc[] - List of template description documents.
The template_docs structure is documented below. - template
Inputs GetModelarts Model Templates Template Template Input[] - List of input parameters for the model. The template_inputs structure is documented below.
- type string
- The type of model. The valid values are Classification and Common.
- arch str
- description str
- The description of the input parameter.
- engine str
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - environment str
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - id str
- The ID of the input parameter.
- name str
- The name of the input parameter.
- template_
docs Sequence[GetModelarts Model Templates Template Template Doc] - List of template description documents.
The template_docs structure is documented below. - template_
inputs Sequence[GetModelarts Model Templates Template Template Input] - List of input parameters for the model. The template_inputs structure is documented below.
- type str
- The type of model. The valid values are Classification and Common.
- arch String
- description String
- The description of the input parameter.
- engine String
- The AI engine.
The valid values are Caffe, Caffe1.0 CPU, Caffe1.0 GPU, MXNet, MXNet1.2.1, MindSpore, PyTorch, PyTorch1.0, TensorFlow, and TensorFlow1.8. - environment String
- Model runtime environment.
The valid values are ascend-arm-py2.7, python2.7, and python3.6. - id String
- The ID of the input parameter.
- name String
- The name of the input parameter.
- template
Docs List<Property Map> - List of template description documents.
The template_docs structure is documented below. - template
Inputs List<Property Map> - List of input parameters for the model. The template_inputs structure is documented below.
- type String
- The type of model. The valid values are Classification and Common.
GetModelartsModelTemplatesTemplateTemplateDoc
GetModelartsModelTemplatesTemplateTemplateInput
- Description string
- The description of the input parameter.
- Id string
- The ID of the input parameter.
- Name string
- The name of the input parameter.
- Type string
- The type of model. The valid values are Classification and Common.
- Description string
- The description of the input parameter.
- Id string
- The ID of the input parameter.
- Name string
- The name of the input parameter.
- Type string
- The type of model. The valid values are Classification and Common.
- description String
- The description of the input parameter.
- id String
- The ID of the input parameter.
- name String
- The name of the input parameter.
- type String
- The type of model. The valid values are Classification and Common.
- description string
- The description of the input parameter.
- id string
- The ID of the input parameter.
- name string
- The name of the input parameter.
- type string
- The type of model. The valid values are Classification and Common.
- description str
- The description of the input parameter.
- id str
- The ID of the input parameter.
- name str
- The name of the input parameter.
- type str
- The type of model. The valid values are Classification and Common.
- description String
- The description of the input parameter.
- id String
- The ID of the input parameter.
- name String
- The name of the input parameter.
- type String
- The type of model. The valid values are Classification and Common.
Package Details
- Repository
- flexibleengine flexibleenginecloud/terraform-provider-flexibleengine
- License
- Notes
- This Pulumi package is based on the
flexibleengineTerraform Provider.
flexibleengine 1.46.0 published on Monday, Apr 14, 2025 by flexibleenginecloud
