Querying Job Engine Specifications

Function

This API is used to query the engine type and version of a specified job.

You must specify the engine specifications when creating a training job or an inference job.

URI

GET /v1/{project_id}/job/ai-engines

Table 1 describes the required parameters.

**Table 1** Parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details about how to obtain the project ID, see Obtaining a Project ID.

**Table 2** Parameters
Parameter	Mandatory	Type	Description
job_type	No	String	Job type. The value can be train or inference.

Request Body

None

Response Body

Table 3 describes the response parameters.

**Table 3** Parameters
Parameter	Type	Description
is_success	Boolean	Whether the request is successful
error_message	String	Error message of a failed API call. This parameter is not included when the API call succeeds.
error_code	String	Error code of a failed API call. For details, see Error Codes. This parameter is not included when the API call succeeds.
engines	engines array	List of engine specifications attributes. For details, see Table 4.

**Table 4** **engines** parameters
Parameter	Type	Description
engine_type	Integer	Engine type of a training job 1: TensorFlow 5: Spark_MLlib 6: Scikit Learn 9: XGBoost-Sklearn 10: PyTorch 17: MindSpore-GPU
engine_id	Long	ID of the engine selected for a training job
engine_name	String	Name of the engine selected for a training job
engine_version	String	Version of the engine selected for a training job

Samples

The following shows how to query the engine specifications of a training job.

Sample request

GET    https://endpoint/v1/{project_id}/job/ai-engines?job_type=train

Successful sample response

{
    "is_success": true,
    "engines": [
        {
            "engine_type": 1,
            "engine_name": "TensorFlow",
            "engine_id": 1,
            "engine_version": "TF-1.4.0-python2.7"
        }
    ]
}

Failed sample response

{
    "is_success": false,
    "error_message": "Error string",
    "error_code": "ModelArts.0105"
}

Status Code

For details about the status code, see Table 1.

Error Codes

See Error Codes.

Parent topic: Resource and Engine Specifications

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