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Dynamically Mounting OBS Obtaining the Notebook Instances with OBS Storage Mounted Obtain the notebook instances with OBS storage mounted. Dynamically Mounting OBS Dynamically mount OBS to a notebook instance in running state.
"obs:object:GetObject", "obs:object:GetObjectVersion", "obs:bucket:HeadBucket", "obs:object:DeleteObject", "obs:bucket:CreateBucket", "obs:bucket:ListBucket" ]
Step 2 Preparing the Training Script and Uploading It to OBS Prepare the training script pytorch-verification.py and upload it to the obs://test-modelarts/pytorch/demo-code/ folder of the OBS bucket.
Step 2 Preparing the Training Script and Uploading It to OBS Prepare the training script pytorch-verification.py and upload it to the obs://test-modelarts/pytorch/demo-code/ folder of the OBS bucket.
Take OBS path obs://obs-bucket/training-test/demo-code as an example. The content in the OBS path will be automatically downloaded to ${MA_JOB_DIR}/demo-code in the training container, and demo-code (customizable) is the last-level directory of the OBS path.
In addition to the billing items displayed on the Dashboard page of ModelArts, OBS and EVS storage will be separately billed if they are used. To stop billing the OBS resources, go to the OBS management console and clear the data in OBS.
Engine Package Address Engine package address if the meta model comes from OBS and AI Engine is Custom. Runtime Environment Runtime environment on which the meta model depends if the meta model comes from a training job or OBS and a preset AI engine is used.
The storage fee is based on the OBS billing rules.
Go to OBS and delete the OBS bucket and files used by the training job. After the resources are released, check the resource usage on the Dashboard page. Figure 1 Checking the resource usage Parent topic: Performing a Training
In addition to the billing items displayed on the Dashboard page of ModelArts, OBS and EVS storage will be separately billed if they are used. To stop billing the OBS resources, go to the OBS management console and clear the data in OBS.
Does ModelArts Use the OBS API to Access OBS Files over an Intranet or the Internet? How Do I Obtain a Job Resource Usage Curve After I Submit a Training Job by Calling an API? How Do I View the Old-Version Dedicated Resource Pool List Using the SDK?
Check whether the OBS path for storing image data complies with the following requirements: The OBS path does not contain other folders. The file name does not contain the following special characters: ~`@#$%^&*{}[]:;+=<>/ If the OBS path meets the requirements, go to 3.
Data OBS Path OBS path for storing training data, for example, /test-modelarts2/mnist/dataset-mnist/, in which test-modelarts2 indicates a bucket name. Training OBS Path OBS path. A directory is automatically created in the path for storing a trained model and training logs.
To quickly obtain the latest data in the OBS bucket, in the Labeled or Unlabeled tab of the labeling job details page, click Synchronize Data Source. Symptom: After the labeled data is uploaded to OBS and synchronized, the data is displayed as unlabeled.
Imported 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 to create an AI application for service deployment
When running a training job on ModelArts, read data and code files from the OBS bucket. Log in to OBS management console and create an OBS bucket and folder.
When running a training job on ModelArts, read data and code files from the OBS bucket. Log in to OBS management console and create an OBS bucket and folder.
Deleting a Pod does not clear its storage. hostPath OBS Training dataset storage Object storage. The OBS SDKs are used to download sample data. Due to the large storage capacity being far from nodes, direct training speed is slow.
Enums: dataset: The data input is a dataset. obs: The data input is an OBS path. Table 37 remote Parameter Mandatory Type Description obs No obs object OBS in which data input and output stored.
For details about specifications for importing labeled data from an OBS directory, see Specifications for Importing Data from an OBS Directory. from modelarts import workflow as wf # Use CreateDatasetStep to create a dataset of the new version using OBS data.
