Creating a Training Job Configuration

Function

This API is used to create a training job configuration.

URI

POST /v1/{project_id}/training-job-configs

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 a project ID, see Obtaining a Project ID and Name.

Request Body

Table 2 describes the request parameters.

**Table 2** Parameters
Parameter	Mandatory	Type	Description
config_name	Yes	String	Name of a training job configuration. The value must contain 1 to 64 characters consisting of only digits, letters, underscores (_), and hyphens (-).
config_desc	No	String	Description of a training job configuration. The value must contain 0 to 256 characters. By default, this parameter is left blank.
worker_server_num	Yes	Integer	Number of workers in a training job. Obtain the maximum value from Querying Job Resource Specifications.
app_url	Yes	String	Code directory of a training job, for example, /usr/app/. This parameter must be used together with boot_file_url. After setting model_id, you do not need to set app_url or boot_file_url, and engine_id.
boot_file_url	Yes	String	Boot file of a training job, which needs to be stored in the code directory, for example, /usr/app/boot.py. This parameter must be used together with app_url. After setting model_id, you do not need to set app_url or boot_file_url, and engine_id.
model_id	Yes	Long	Model ID of a training job. Obtain model_id by calling the API described in Querying a Built-in Algorithm. After setting model_id, you do not need to set app_url or boot_file_url, and engine_id.
parameter	No	Array<Object>	Running parameters of a training job. It is a collection of label-value pairs. For details, see the sample request. This parameter is a container environment variable when a training job uses a custom image. For details, see Table 4.
spec_id	Yes	Long	ID of the resource specifications selected for a training job. Obtain the ID by calling the API described in Querying Job Resource Specifications.
data_url	No	String	OBS URL of the dataset required by a training job, for example, /usr/data/. This parameter cannot be used together with data_source or dataset_id and dataset_version_id. However, one of the parameters must exist.
dataset_id	No	String	Dataset ID of a training job. This parameter must be used together with dataset_version_id, but cannot be used together with data_url or data_source.
dataset_version_id	No	String	Dataset version ID of a training job. This parameter must be used together with dataset_id, but cannot be used together with data_url or data_source.
data_source	No	JSON Array	Dataset of a training job. This parameter cannot be used together with data_url or dataset_id and dataset_version_id. For details, see Table 3.
engine_id	Yes	Long	ID of the engine selected for a training job. The default value is 1. After setting model_id, you do not need to set app_url or boot_file_url, and engine_id. Obtain the ID by calling the API described in Querying Job Engine Specifications.
train_url	No	String	OBS URL of the output file of a training job. By default, this parameter is left blank. Example value: /usr/train/
log_url	No	String	OBS URL of the logs of a training job. By default, this parameter is left blank. Example value: /usr/train/
user_image_url	No	String	SWR URL of a custom image used by a training job. Example value: 100.125.5.235:20202/jobmng/custom-cpu-base:1.0
user_command	No	String	Boot command used to start the container of a custom image of a training job. The format is bash /home/work/run_train.sh python /home/work/user-job-dir/app/train.py {python_file_parameter}. The boot script run_train.sh must be invoked to initialize variables, such as the AK/SK. The run_train.sh script is followed by python to ensure that the Python files can be executed in the initialized variable environment. run_train.sh is used to start Python.

**Table 3** **data_source** parameters
Parameter	Mandatory	Type	Description
dataset_id	No	String	Dataset ID of a training job. This parameter must be used together with dataset_version_id, but cannot be used together with data_url.
dataset_version	No	String	Dataset version ID of a training job. This parameter must be used together with dataset_id, but cannot be used together with data_url.
type	No	String	Dataset type. The value can be obs or dataset. obs and dataset cannot be used at the same time.
data_url	No	String	OBS bucket path. This parameter cannot be used together with dataset_id or dataset_version.

**Table 4** **parameter** parameters
Parameter	Mandatory	Type	Description
label	No	String	Parameter name.
value	No	String	Parameter value.

Response Body

Table 5 describes the response parameters.

**Table 5** 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.

Sample Request

The following shows how to create a training job configuration whose name is testConfig and description is This is config.

POST    https://endpoint/v1/{project_id}/training-job-configs
{
    "config_name": "testConfig",
    "config_desc": "This is config",
    "worker_server_num": 1,
    "app_url": "/usr/app/",
    "boot_file_url": "/usr/app/boot.py",
    "parameter": [
        {
            "label": "learning_rate",
            "value": "0.01"
        },
        {
            "label": "batch_size",
            "value": "32"
        }
    ],
    "spec_id": 1,
    "dataset_id": "38277e62-9e59-48f4-8d89-c8cf41622c24",
    "dataset_version_id": "2ff0d6ba-c480-45ae-be41-09a8369bfc90",
    "engine_id": 1,
    "train_url": "/usr/train/",
    "log_url": "/usr/log/",
    "model_id": 1
}

Sample Response

Successful response
```
{
    "is_success": true
}
```

Failed response

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

Status Code

For details about the status code, see Status Code.

Parent topic: Training Job Parameter Configuration

Previous topic: Training Job Parameter Configuration

Next topic: Querying a List of Training Job Configurations

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