Querying Training Job Specifications
Function
This API is used to query the offline computing specifications, real-time computing specifications, and ranking model training specifications provided by RES. These information is required when you create data sources and scenarios.
URI
GET /v2.0/{project_id}/resource-specs
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| project_id | Yes | String | Project ID. For details on how to obtain the project ID, see Obtaining a Project ID. |
Request Parameters
| Parameter | Mandatory | Type | Description |
|---|---|---|---|
| Content-Type | Yes | String | Content type. The value is application/json. |
| X-Auth-Token | Yes | String | User token. For details on how to obtain the user token, see Obtaining a User Token Through Password Authentication. |
Response Parameters
Status code: 200
| Parameter | Type | Description |
|---|---|---|
| offline_spec | Array of strings | Offline computing specifications |
| nearline_spec | Array of strings | Real-time computing specifications |
| deep_learning_spec | Array of strings | Ranking model computing specifications |
| is_success | Boolean | Whether the request is successful |
| message | String | Response message (This field is not returned when the request is successful.) |
| error_code | String | Error code (This parameter is not returned when the request is successful.) |
Example Requests
This API is used to query the computing specifications.
/v2.0/testuuidxxxxxxxxxxxxxxxxxxxxxxxx/resource-specs -
Example Responses
Status code: 200
OK
{
"offline_spec" : [ "16CU", "32CU", "4CU", "8CU" ],
"nearline_spec" : [ "16CU", "2CU", "4CU", "8CU" ],
"deep_learning_spec" : [ "8CU" ],
"is_success" : true
} Status Codes
| Status Code | Description |
|---|---|
| 200 | OK |
Error Codes
See Error Codes.
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