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FAQ Abnormal User xxx does not have OBS permission obs:object:PutObjectAcl. The IAM user does not have the obs:object:PutObjectAcl permission on OBS. Add the agency permission for the IAM user. FAQ Abnormal Creating the image timed out. The timeout duration is xxx minutes.
For example, if you upload data via OBS Browser+, enable MD5 verification, as shown in Figure 1. When dynamic loading is enabled and the local persistent storage of the node is used, OBS Browser+ checks data consistency during data upload.
FAQs Abnormal User xxx does not have OBS permission obs:object:PutObjectAcl. The IAM user does not have the obs:object:PutObjectAcl permission on OBS. Add the agency permission for the IAM user. FAQs Abnormal Creating the image timed out. The timeout duration is xxx minutes.
Importing a Meta Model from OBS: If you use a mainstream framework to develop and train a model locally, you can upload the model to an OBS bucket based on the model package specifications, import the model from OBS to ModelArts, and use the model for service deployment.
OBS NOTE: OBS is a whitelist function. To use this function, contact Huawei technical support. Only OBS objects in the same region can be mounted. When uploading or downloading a large amount of data in the development environment, you can use OBS buckets to transfer data.
Viewing Training Logs in OBS When you submit a training job, the system automatically creates a folder with the same name as the training job in the configured OBS path to store the model, logs, and code outputted after training is complete.
upload Upload local file or OBS object to DLI resources.
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.
Code Directory OBS path to the code directory of the training job. You can click Edit Code on the right to edit the training script code in OBS Online Editor. OBS Online Editor is not available for a training job in the Pending, Creating, or Running status.
It is recommended that new users store their training data in OBS buckets. Data path Click Data path and select the storage path to the training input data from an OBS bucket.
OBS: Select OBS if the training code is stored in an OBS bucket. SFS: Select SFS if the training code is stored in an SFS file system. Code Directory This parameter is available only when Code Source is set to OBS. Select the OBS directory where the training code file is stored.
Create at least one empty folder in OBS for storing training outputs. Make sure your account is not in arrears, as training jobs consume resources. Make sure your OBS directory and ModelArts are in the same region.
Code Directory Select the path where the training code folder is stored in the OBS bucket, for example, obs://test-modelarts/code/.
Code Directory Select the training code path from your OBS bucket, for example, obs://test-modelarts/code/.
Options: If type is set to OBS, source is an OBS path. If type is set to DATASET, source is a dataset ID. type No String Type of a working path. Options: OBS: OBS path DATASET: dataset version_id No String Version of a dataset. version_name No String Name of a dataset version.
File If MoXing Is Used to Adapt to an OBS Path Error Message "Please upgrade numpy to >= xxx to use this pandas version" Is Displayed in Logs Reinstalled CUDA Version Does Not Match the One in the Target Image Error ModelArts.2763 Occurred During Training Job Creation Error Message
Model Package Specifications The model package must be stored in the OBS folder named model. Model files and the model inference code file are stored in the model folder. The model inference code file is mandatory. The file name must be customize_service.py.
Model Package Specifications The model package must be stored in the OBS folder named model. Model files and the model inference code file are stored in the model folder. The model inference code file is mandatory. The file name must be customize_service.py.
Model Package Specifications The model package must be stored in the OBS folder named model. Model files and the model inference code file are stored in the model folder. The model inference code file is mandatory. The file name must be customize_service.py.
Additionally, clear the data stored in EVS disks for running notebook instances and data stored in OBS to stop billing. You can enable balance alerts on the Overview page of the Billing Center.
