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Permission Issues Error "stat:403 reason:Forbidden" Is Displayed in Logs When a Training Job Accesses OBS Error Message "Permission denied" Is Displayed in Logs Parent topic: Training Jobs
Creating a Model Creation Methods Importing a Meta Model from a Training Job Importing a Meta Model from OBS Importing a Meta Model from a Container Image Parent topic: Using ModelArts Standard to Deploy Models for Inference and Prediction
Tips How Do I Quickly Create an OBS Bucket and a Folder When Creating a Project? Where Are Models Generated by ExeML Stored? What Other Operations Are Supported? Parent topic: Using ExeML for Zero-Code AI Development
obs-copy Copy files or directories between OBS and a local path. ma-job Submit ModelArts jobs and obtain jod details. dli-job Submit DLI spark jobs and obtain jod details.
obs-copy Copy files or directories between OBS and a local path. ma-job Submit ModelArts jobs and obtain jod details. dli-job Submit DLI spark jobs and obtain jod details.
Uploading Files to JupyterLab Uploading Files from a Local Path to JupyterLab Cloning GitHub Open-Source Repository Files to JupyterLab Uploading OBS Files to JupyterLab Uploading Remote Files to JupyterLab Parent topic: Using a Notebook Instance for AI Development Through JupyterLab
Engine Package Address Engine package address if the meta model comes from OBS and AI Engine is Custom. Runtime Environment Runtime environment on which the meta model depends if the meta model comes from a training job or OBS and a preset AI engine is used.
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.
Result Storage Path: If you select Save to OBS, specify an OBS path.
The value can be OBS or PFS. Storage Path: Set the OBS path for storing notebook data. If you want to use existing files or data, upload them to the specified OBS path. Secret: Select an existing secret or click Create on the right to create one.
The OBS directory you use and ModelArts are in the same region. Procedure Log in to the ModelArts management console. In the left navigation pane, choose Data Management > Process Data. The Process Data page is displayed. On the Process Data page, click Create.
Models trained using a custom or subscription algorithm are stored in specified OBS paths for you to download. Parent topic: Functional Consulting
Overview (Optional) Installing ma-cli Locally Autocompletion for ma-cli Commands ma-cli Authentication ma-cli Image Building Command Using the ma-cli ma-job Command to Submit a ModelArts Training Job Using the ma-cli dli-job Command to Submit a DLI Spark Job Using ma-cli to Copy OBS
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.
The OBS paths in the debugging code should be replaced with your OBS paths. PyTorch is used to write debugging code in this document. The process is the same for different AI frameworks. You only need to modify some parameters.
OBS bucket or directory name ├── resnet │ ├── model Mandatory: Fixed subdirectory name.
The value can be obs or dataset. obs and dataset cannot be used at the same time. data_url No String OBS bucket path. This parameter cannot be used together with dataset_id or dataset_version.
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.
Using the ma-cli dli-job Command to Submit a DLI Spark Job Overview Querying DLI Spark Jobs Submitting a DLI Spark Job Querying DLI Spark Run Logs Querying DLI Queues Obtaining DLI Group Resources Uploading Local Files or OBS Files to a DLI Group Stopping a DLI Spark Job Parent topic
Managing Notebook Instances Searching for a Notebook Instance Updating a Notebook Instance Starting, Stopping, or Deleting a Notebook Instance Saving a Notebook Instance Dynamically Expanding EVS Disk Capacity Dynamically Mounting an OBS Parallel File System Viewing Notebook Events
