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Table 2 Data source types Type Example OBS "source":"s3://path-to-jpg" Content "source":"content://I love machine learning" Table 3 annotation objects Parameter Mandatory Description type Yes Label type.
You are advised to use the following local cache method: import moxing.tensorflow as mox mox.cache() Parent topic: OBS Operation Issues
How Do I Access the OBS Bucket of Another Account from a Notebook Instance? To access OBS files of another account from a notebook instance, you must have read and write permissions on the target OBS bucket.
To import data from an OBS directory, you must have the read permission on the OBS directory. Image Classification Image classification data can be in two modes. The first mode (directory mode) supports only single labels.
For details about OBS error codes, see OBS Server-Side Error Codes.
You have the OBS permissions if you can access the OBS path. If you do not have the OBS permissions, go to Configure the OBS permis... to configure the OBS permissions. Configure the OBS permissions. Parent topic: Using PyCharm Toolkit
How Do I Improve Training Efficiency While Reducing Interaction with OBS? Scenario Description When you use ModelArts for custom deep learning training, training data is typically stored in OBS.
Table 2 Parameters of the meta model source Parameter Description Meta Model OBS path for storing the meta model. The OBS path cannot contain spaces. Otherwise, the AI application fails to be created.
Figure 1 Importing a meta model from OBS Table 2 Meta model source parameters Parameter Description Meta Model Source Select OBS. Meta Model OBS path for storing the meta model. The OBS path cannot contain spaces. Otherwise, the model creation will fail.
Why All the Labeled Samples Stored in an OBS Bucket Are Displayed as Unlabeled in ModelArts After the Data Source Is Synchronized? This issue occurs if automatic encryption is enabled in the OBS bucket.
Notebook instances with OBS storage mounted can synchronize files from OBS to JupyterLab using the Sync OBS function. The files on the Terminal page are the same as those in JupyterLab.
What Should I Do If Error "Invalid OBS path" Occurs When a Training Job Is Submitted? When a training job is running, the "Invalid OBS path" error is reported.
Why Is There No Sample in the ModelArts Dataset Downloaded from AI Gallery and Then an OBS Bucket? Check the format of the data downloaded from AI Gallery. For example, compressed packages and Excel files will be ignored. The following table lists the supported formats.
How Do I Use the pandas Library to Process Data in OBS Buckets? Download data from OBS to a notebook instance. For details, see Downloading a File from JupyterLab to a Local Path. Process pandas data by following the instructions provided in pandas User Guide.
Failed to View the Local Mount Point of a Dynamically Mounted OBS Parallel File System in JupyterLab of a Notebook Instance Symptom When an OBS parallel file system is dynamically mounted to a notebook instance, the local mount directory is /data/demo-yf/, which, however, is not displayed
How Do I Quickly Create an OBS Bucket and a Folder When Creating a Project? When creating a project, select a training data path. This section describes how to quickly create an OBS bucket and folder when you select the training data path.
Parent topic: Importing Data from OBS
Parent topic: OBS Operation Issues
Failed to Download a pip Package When a Model Is Created Using OBS Symptom Creating a model using OBS failed. Logs showed that downloading the pip package failed, for example, downloading the NumPy 1.16 package failed.
Error "stat:403 reason:Forbidden" Is Displayed in Logs When a Training Job Accesses OBS Symptom When a training job accesses OBS, an error occurs.
