Obtaining the Name of a Training Job Log File

Sample Code

In ModelArts notebook, you do not need to enter authentication parameters for session authentication. For details about session authentication of other development environments, see Session Authentication.

Method 1: Obtain the file based on the specified job_id and version_id.

      
           from modelarts.session import Session
from modelarts.estimator import Estimator
session = Session()
estimator = Estimator(modelarts_session=session, job_id="182626", version_id="278813")
job_log_list = estimator.get_job_log_file_list()

Method 2: Obtain the file based on the training job created in Creating a Training Job.
1

job_log_list = job_instance.get_job_log_file_list()

Method 3: Obtain the file based on the training job version object returned in Querying the List of Training Job Versions.
1

job_log_list = job_version_instance_list[0].get_job_log_file_list()

Parameters

**Table 1** Estimator request parameters
Parameter	Mandatory	Type	Description
modelarts_session	Yes	Object	Session object. For details about the initialization method, see Session Authentication.
job_id	Yes	String	ID of a training job. You can query job_id using the training job object generated in Creating a Training Job, for example, job_instance.job_id, or from the response obtained in Querying the List of Training Jobs.
version_id	Yes	String	Version ID of a training job. You can query version_id using the training job object generated in Creating a Training Job, for example, job_instance.version_id, or from the response obtained in Querying the List of Training Jobs.

**Table 2** **get_job_log_file_list** response parameters
Parameter	Type	Description
error_msg	String	Error message when the API call fails. This parameter is not included when the API call succeeds.
error_code	String	Error code when the API fails to be called. For details, see Error Codes. This parameter is not included when the API call succeeds.
log_file_list	List	Log file name of a training job. A single-node job has only one log file, and a distributed job has multiple log files.
is_success	Boolean	Whether the API call succeeds