Get run
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Get run
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Available in VPC
Get details about a specific run among the created runs.
Request
The following describes the request format for the endpoint. The request format is as follows:
| Method | URI |
|---|---|
| GET | /projects/{projectId}/runs/{runName} |
Request headers
For headers common to all CLOVA NSML APIs, see Common CLOVA NSML headers.
Request path parameters
The following describes the request path parameters.
| Field | Type | Required | Description |
|---|---|---|---|
projectId | String | Required | Project ID
|
runName | String | Required | Run name
|
Request example
The following is a sample request.
curl --location --request GET 'https://nsml.apigw.ntruss.com/nsml/v1/projects/******ygz0iujn******/runs/2' \
--header 'x-ncp-apigw-timestamp: {Timestamp}' \
--header 'x-ncp-iam-access-key: {Access Key}' \
--header 'x-ncp-apigw-signature-v2: {API Gateway Signature}' \
--header 'x-ncp-apigw-api-key: {API Key}' \
--header 'Content-Type: application/json'
Response
The following describes the response format.
Response body
The following describes the response body.
| Field | Type | Required | Description |
|---|---|---|---|
runName | String | - | Run name
|
projectId | String | - | Project ID |
projectName | String | - | Project name |
status | String | - | Run status |
creator | String | - | User who created the run |
engFullName | String | - | English name of the GPU server |
gpuSvrCode | Integer | - | GPU server code |
imageType | String | - | Image type
|
imagePath | String | - | Image path |
command | String | - | Command to run on the node |
envs | Object | - | Node internal environment variable |
note | String | - | Description of run |
Response status codes
For response status codes common to all CLOVA NSML APIs, see Common CLOVA NSML API response status codes.
Response example
The following is a sample example.
{
"runName": "2",
"projectId": "******ygz0iujn******",
"projectName": "project",
"status": "RUN_STATE_IN_PROGRESS",
"creator": "ncp-user-2689076",
"engFullName": "[Notebook] 4vCPU, 16GB Mem",
"gpuSvrCode": 4,
"imageType": "BASE",
"imagePath": "nvcr.io/nvidia/tensorflow:21.02-tf1-py3",
"command": "",
"envs": {},
"note": ""
}
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