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Code Directory: directory where the boot script file is stored in OBS, for example, obs://test-modelarts/pytorch/demo-code/.
Training Job Querying the Details About a Training Job Modifying the Description of a Training Job Deleting a Training Job Terminating a Training Job Querying the Logs of a Specified Task in a Given Training Job (Preview) Querying the Logs of a Specified Task in a Training Job (OBS
The options are as follows: OBS_SOURCE: OBS path. (Default value) LOCAL_SOURCE: local path. source_location Yes String Path (parent directory) of the model file If source_location_type is set to OBS_SOURCE, the model file path is an OBS path in the format of /obs_bucketname/...
Options: obs: OBS bucket (default value) dws: GaussDB(DWS) dli: DLI rds: RDS mrs: MRS inference: Inference service import_path Yes String OBS path or manifest path to be imported. When importing a manifest file, ensure that the path is accurate to the manifest file.
On the job details page, you can obtain the job log path and click the OBS address to go to the OBS console to check logs. Figure 3 Job Log Path You can run the ma-pre-start script to modify the default environment variable configurations.
If type is set to obs, this parameter is mandatory. The value must be a valid OBS bucket path and end with a slash (/). The value must be a specific directory in an OBS bucket rather than the root directory of an OBS bucket.
Before performing operations on your resources (such as OBS buckets) in a backend job, you are required to explicitly authorize ModelArts through an IAM agency.
You can choose OBS or datasets as the input.
The value can be obs or dataset. data_url No String OBS bucket path. This parameter cannot be used with dataset_id or dataset_version. Table 4 update_job_configs response parameters Parameter Type Description error_msg String Error message when the API call fails.
In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click Yes to delete the images. If a tick is displayed in the upper left corner of an image, the image is selected.
For example, if an IAM user needs to use OBS data for training and the ModelArts training permission has been configured for the IAM user, the IAM user still needs to be assigned with the OBS read, write, and list permissions.
For example, if an IAM user needs to use OBS data for training and the ModelArts training permission has been configured for the IAM user, the IAM user still needs to be assigned with the OBS read, write, and list permissions.
Result Storage Path: If you select Save to OBS, specify an OBS path.
Example value: /usr/train/ log_url String OBS URL of the logs of a training job. By default, this parameter is left blank.
Take for example, an OBS path specified by Code Dir that contains model files and the pip-requirements.txt file.
Supports OBS files. Supports remote files. Supports visualized upload progress. Parent topic: Uploading Files to JupyterLab
If the model is imported from OBS or a training job, the total size of the base image, model file, code, data file, and installed software packages is included.
Currently, SFS, Object Storage Service (OBS), and EVS are supported. 3 Configuring the Software Environment The pre-installed software varies among image. For details about installed software, see Mapping Between Compute Resources and Image Versions.
Symptom: After the labeled data is uploaded to OBS and synchronized, the data is displayed as unlabeled. Possible causes: Automatic encryption is enabled in the OBS bucket. Solution: Create an OBS bucket and upload data again, or disable bucket encryption and upload data again.
Symptom: After the labeled data is uploaded to OBS and synchronized, the data is displayed as unlabeled. Possible causes: Automatic encryption is enabled in the OBS bucket. Solution: Create an OBS bucket and upload data again, or disable bucket encryption and upload data again.
