How Do I Upload Data to OBS
ModelArts
ModelArts
- What's New
- Function Overview
- Service Overview
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Billing
- Overview
- Billing Modes
- Billing Item (ModelArts Standard)
- Billing Examples
- Changing the Billing Mode
- Renewal
- Bills
- About Arrears
- Stopping Billing
- Cost Management
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Billing FAQs
- How Do I View the ModelArts Jobs Being Billed?
- How Do I View ModelArts Expenditure Details?
- How Do I Stop Billing If I Do Not Use ModelArts?
- Billing FAQs About ModelArts Standard Data Management
- What Should I Do to Avoid Unnecessary Billing After I Label Datasets and Exit?
- How Do I Stop Billing for a ModelArts Standard ExeML Project?
- How Are Training Jobs Billed?
- Why Does Billing Continue After All Projects Are Deleted?
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ModelArts User Guide (Standard)
- ModelArts Standard Preparations
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ModelArts Standard Resource Management
- About ModelArts Standard Resource Pools
- Creating a Standard Dedicated Resource Pool
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Managing Standard Dedicated Resource Pools
- Viewing Details About a Standard Dedicated Resource Pool
- Resizing a Standard Dedicated Resource Pool
- Upgrading the Standard Dedicated Resource Pool Driver
- Rectifying a Faulty Node in a Standard Dedicated Resource Pool
- Modifying the Job Types Supported by a Standard Dedicated Resource Pool
- Configuring the Standard Dedicated Resource Pool to Access the Internet
- Releasing Standard Dedicated Resource Pools and Deleting the Network
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Development Environments
- Application Scenarios
- Creating a Notebook Instance
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Using a Notebook Instance for AI Development Through JupyterLab
- Using JupyterLab to Develop and Debug Code Online
- Common Functions of JupyterLab
- Using Git to Clone the Code Repository in JupyterLab
- Creating a Scheduled Job in JupyterLab
- Uploading Files to JupyterLab
- Downloading a File from JupyterLab to a Local PC
- Using MindInsight Visualization Jobs in JupyterLab
- Using TensorBoard Visualization Jobs in JupyterLab
- Using Notebook Instances Remotely Through PyCharm
- Using Notebook Instances Remotely Through VS Code
- Using a Notebook Instance Remotely with SSH
- Managing Notebook Instances
- ModelArts CLI Command Reference
- Using Moxing Commands in a Notebook Instance
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Model Training
- Model Training Process
- Preparing Model Training Code
- Preparing a Model Training Image
- Creating a Debug Training Job
- Creating an Algorithm
- Creating a Training Job
- Distributed Model Training
- Incremental Model Training
- High Model Training Reliability
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Managing Model Training Jobs
- Viewing Training Job Details
- Viewing the Resource Usage of a Training Job
- Viewing the Model Evaluation Result
- Viewing Training Job Events
- Viewing Training Job Logs
- Priority of a Training Job
- Using Cloud Shell to Debug a Production Training Job
- Rebuilding, Stopping, or Deleting a Training Job
- Managing Environment Variables of a Training Container
- Image Management
- Resource Monitoring
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History
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Inference Deployment(To go offline)
- Overview
- Creating a Model
- Model Creation Specifications
- Deploying a Model as Real-Time Inference Jobs
- Deploying a Model as a Batch Inference Service
- Managing ModelArts Models
- Managing a Synchronous Real-Time Service
- Managing Batch Inference Jobs
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Inference Deployment(To go offline)
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Best Practices
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Permissions Management
- Basic Concepts
- Permission Management Mechanisms
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Configuration Practices in Typical Scenarios
- Assigning Permissions to Individual Users for Using ModelArts
- Separately Assigning Permissions to Administrators and Developers
- Viewing the Notebook Instances of All IAM Users Under One Tenant Account
- Logging In to a Training Container Using Cloud Shell
- Prohibiting a User from Using a Public Resource Pool
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To go offline
- Model Development (Custom Algorithms in Training Jobs of the New Version)(To go offline)
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Model Inference(To go offline)
- Creating a Custom Image and Using It to Create an AI Application(To go offline)
- End-to-End O&M of Inference Services(To go offline)
- Creating an AI Application Using a Custom Engine by Yu Jing(To go offline)
- Using a Large Model to Create an AI Application and Deploying a Real-Time Service(To go offline)
- High-Speed Access to Inference Services Through VPC Peering(To go offline)
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Permissions Management
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API Reference
- Before You Start
- API Overview
- Calling APIs
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Development Environment Management
- Creating a Notebook Instance
- Querying Notebook Instances
- Querying Details of a Notebook Instance
- Updating a Notebook Instance
- Deleting a Notebook Instance
- Saving a Running Instance as a Container Image
- Obtaining the Available Flavors
- Querying Flavors Available for a Notebook Instance
- Querying the Available Duration of a Running Notebook Instance
- Prolonging a Notebook Instance
- Starting a Notebook Instance
- Stopping a Notebook Instance
- Obtaining the Notebook Instances with OBS Storage Mounted
- OBS Storage Mounting
- Obtaining Details About a Notebook Instance with OBS Storage Mounted
- Unmounting OBS Storage from a Notebook Instance
- Querying Supported Images
- Registering a Custom Image
- Obtaining User Image Groups
- Obtaining Details of an Image
- Deleting an Image
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Training Management
- Creating an Algorithm
- Querying the Algorithm List
- Querying Algorithm Details
- Modifying an Algorithm
- Deleting an Algorithm
- Creating a 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 Link)
- Querying the Running Metrics of a Specified Task in a Training Job
- Querying a Training Job List
- Obtaining the General Specifications Supported by a Training Job
- Obtaining the Preset AI Frameworks Supported by a Training Job
- Authorization Management
- Managing DevEnviron Instances
- App Authentication Management
- Application Authentication Management
- Resource Pool Job Management
- Configuration Management
- Plug-in Template Management
- Virtual Resource Flavors
- Node Management
- Network Management
- Tag Management
- Event Management
- Plug-in Management
- Resource Specifications Management
- Order Management
- Resource Pool Management
- Resource Metrics
- Use Cases
- Appendix
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Historical APIs
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Data Management (Old Version)
- Querying the Dataset List
- Creating a Dataset
- Querying Details About a Dataset
- Modifying a Dataset
- Deleting a Dataset
- Obtaining Dataset Statistics
- Querying the Monitoring Data of a Dataset
- Querying the Dataset Version List
- Creating a Dataset Labeling Version
- Querying Details About a Dataset Version
- Deleting a Dataset Labeling Version
- Obtaining a Sample List
- Adding Samples in Batches
- Deleting Samples in Batches
- Obtaining Details About a Sample
- Obtaining Sample Search Condition
- Obtaining a Sample List of a Team Labeling Task by Page
- Obtaining Details About a Team Labeling Sample
- Querying the Dataset Label List
- Creating a Dataset Label
- Modifying Labels in Batches
- Deleting Labels in Batches
- Updating a Label by Label Names
- Deleting a Label and the Files that Only Contain the Label
- Updating Sample Labels in Batches
- Querying the Team Labeling Task List of a Dataset
- Creating a Team Labeling Task
- Querying Details About a Team Labeling Task
- Starting a Team Labeling Task
- Updating a Team Labeling Task
- Deleting a Team Labeling Task
- Creating a Team Labeling Acceptance Task
- Querying the Report of a Team Labeling Acceptance Task
- Updating Status of a Team Labeling Acceptance Task
- Querying Details About Team Labeling Task Statistics
- Querying Details About the Progress of a Team Labeling Task Member
- Querying the Team Labeling Task List by a Team Member
- Submitting Sample Review Comments of an Acceptance Task
- Reviewing Team Labeling Results
- Updating Labels of Team Labeling Samples in Batches
- Querying the Labeling Team List
- Creating a Labeling Team
- Querying Details About a Labeling Team
- Updating a Labeling Team
- Deleting a Labeling Team
- Sending an Email to a Labeling Team Member
- Querying the List of All Labeling Team Members
- Querying the List of Labeling Team Members
- Creating a Labeling Team Member
- Deleting Labeling Team Members in Batches
- Querying Details About Labeling Team Members
- Updating a Labeling Team Member
- Deleting a Labeling Team Member
- Querying the Dataset Import Task List
- Creating an Import Task
- Querying Details About a Dataset Import Task
- Querying the Dataset Export Task List
- Creating a Dataset Export Task
- Querying the Status of a Dataset Export Task
- Synchronizing a Dataset
- Querying the Status of a Dataset Synchronization Task
- DevEnviron (Old Version)
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Training Management (Old Version)
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Training Jobs
- Creating a Training Job
- Querying a Training Job List
- Querying the Details About a Training Job Version
- Deleting a Version of a Training Job
- Obtaining Training Job Versions
- Creating a Version of a Training Job
- Stopping a Training Job
- Modifying the Description of a Training Job
- Deleting a Training Job
- Obtaining the Name of a Training Job Log File
- Querying a Built-in Algorithm
- Querying Training Job Logs
- Training Job Parameter Configuration
- Visualization Jobs
- Resource and Engine Specifications
- Job Statuses
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Training Jobs
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Data Management (Old Version)
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SDK Reference
- Before You Start
- SDK Overview
- Getting Started
- (Optional) Installing ModelArts SDK Locally
- Session Authentication
- OBS Management
- Data Management
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Training Management
- Training Jobs
- APIs for Resources and Engine Specifications
- Model Management
- Service Management
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FAQs
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General Issues
- What Is ModelArts?
- What Are the Relationships Between ModelArts and Other Services?
- What Are the Differences Between ModelArts and DLS?
- How Do I Obtain an Access Key?
- How Do I Upload Data to OBS?
- What Do I Do If the System Displays a Message Indicating that the AK/SK Pair Is Unavailable?
- What Do I Do If a Message Indicating Insufficient Permissions Is Displayed When I Use ModelArts?
- How Do I Use ModelArts to Train Models Based on Structured Data?
- What Are Regions and AZs?
- How Do I View All Files Stored in OBS on ModelArts?
- Where Are Datasets of ModelArts Stored in a Container?
- What Are the Functions of ModelArts Training and Inference?
- How Do I View an Account ID and IAM User ID?
- Can AI-assisted Identification of ModelArts Identify a Specific Label?
- How Does ModelArts Use Tags to Manage Resources by Group?
- Why Is the Job Still Queued When Resources Are Sufficient?
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Billing
- How Do I View the ModelArts Jobs Being Billed?
- How Do I View ModelArts Expenditure Details?
- Will I Be Charged for Uploading Datasets to ModelArts?
- What Should I Do to Avoid Unnecessary Billing After I Label Datasets and Exit?
- How Do I Stop Billing for a ModelArts ExeML Project?
- How Do I Stop Billing If I Do Not Use ModelArts?
- How Are Training Jobs Billed?
- Why Does Billing Continue After All Projects Are Deleted?
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Data Management (Old Version)
- Are There Size Limits for Images to be Uploaded?
- What Do I Do If Images in a Dataset Cannot Be Displayed?
- How Do I Integrate Multiple Object Detection Datasets into One Dataset?
- What Do I Do If Importing a Dataset Failed?
- Can a Table Dataset Be Labeled?
- What Do I Do to Import Locally Labeled Data to ModelArts?
- Why Does Data Fail to Be Imported Using the Manifest File?
- Where Are Labeling Results Stored?
- How Do I Download Labeling Results to a Local PC?
- Why Cannot Team Members Receive Emails for a Team Labeling Task?
- Can Two Accounts Concurrently Label One Dataset?
- Can I Delete an Annotator from a Labeling Team with a Labeling Task Assigned? What Is the Impact on the Labeling Result After Deletion? If the Annotator Cannot Be Deleted, Can I Separate the Annotator's Labeling Result?
- How Do I Define a Hard Example in Data Labeling? Which Samples Are Identified as Hard Examples?
- Can I Add Multiple Labeling Boxes to an Object Detection Dataset Image?
- How Do I Merge Two Datasets?
- Does Auto Labeling Support Polygons?
- What Do the Options for Accepting a Team Labeling Task Mean?
- Why Are Images Displayed in Different Angles Under the Same Account?
- Do I Need to Train Data Again If New Data Is Added After Auto Labeling Is Complete?
- Why Does the System Display a Message Indicating My Label Fails to Save on ModelArts?
- Can One Label By Identified Among Multiple Labels?
- Why Are Newly Added Images Not Automatically Labeled After Data Amplification Is Enabled?
- Why Cannot Videos in a Video Dataset Be Displayed or Played?
- Why All the Labeled Samples Stored in an OBS Bucket Are Displayed as Unlabeled in ModelArts After the Data Source Is Synchronized?
- How Do I Use Soft-NMS to Reduce Bounding Box Overlapping?
- Why ModelArts Image Labels Are Lost?
- How Do I Add Images to a Validation or Training Dataset?
- Can I Customize Labels for an Object Detection Dataset?
- What ModelArts Data Management Can Be Used for?
- Will My Old-Version Datasets Be Cleared After the Old Version Is Discontinued? The existing datasets and the ones newly created in the old version will be retained after the old version is discontinued.
- Why Is My New Dataset Version Unavailable in Versions?
- How Do I View the Size of a Dataset?
- How Do I View Labeling Details of a New Dataset?
- How Do I Export Labeled Data?
- Why Cannot I Find My Newly Created Dataset?
- What Do I Do If the Database Quota Is Incorrect?
- How Do I Split a Dataset?
- How Do I Delete a Dataset Image?
- Why Is There No Sample in the ModelArts Dataset Downloaded from AI Gallery and Then an OBS Bucket?
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Notebook (New Version)
- Constraints
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Data Upload or Download
- How Do I Upload a File from a Notebook Instance to OBS or Download a File from OBS to a Notebook Instance?
- How Do I Upload Local Files to a Notebook Instance?
- How Do I Import Large Files to a Notebook Instance?
- Where Will the Data Be Uploaded to?
- How Do I Download Files from a Notebook Instance to a Local Computer?
- How Do I Copy Data from Development Environment Notebook A to Notebook B?
- What Can I Do If a File Fails to Be Uploaded to a Notebook Instance?
- Failed to View the Local Mount Point of a Dynamically Mounted OBS Parallel File System in JupyterLab of a Notebook Instance
- Data Storage
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Environment Configurations
- How Do I Check the CUDA Version Used by a Notebook Instance?
- How Do I Enable the Terminal Function in DevEnviron of ModelArts?
- How Do I Install External Libraries in a Notebook Instance?
- How Do I Obtain the External IP Address of My Local PC?
- How Can I Resolve Abnormal Font Display on a ModelArts Notebook Accessed from iOS?
- Is There a Proxy for Notebook? How Do I Disable It?
- Adding a Custom IPython Kernel in a Notebook Instance
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Notebook Instances
- What Do I Do If I Cannot Access My Notebook Instance?
- What Should I Do When the System Displays an Error Message Indicating that No Space Left After I Run the pip install Command?
- What Do I Do If "Read timed out" Is Displayed After I Run pip install?
- What Do I Do If the Code Can Be Run But Cannot Be Saved, and the Error Message "save error" Is Displayed?
- When the SSH Tool Is Used to Connect to a Notebook Instance, Server Processes Are Cleared, but the GPU Usage Is Still 100%
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Code Execution
- What Do I Do If a Notebook Instance Won't Run My Code?
- Why Does the Instance Break Down When dead kernel Is Displayed During Training Code Running?
- What Do I Do If cudaCheckError Occurs During Training?
- What Should I Do If DevEnviron Prompts Insufficient Space?
- Why Does the Notebook Instance Break Down When opencv.imshow Is Used?
- Why Cannot the Path of a Text File Generated in Windows OS Be Found In a Notebook Instance?
- What Do I Do If Files Fail to Be Saved in JupyterLab?
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Failures to Access the Development Environment Through VS Code
- What Do I Do If the VS Code Window Is Not Displayed?
- What Do I Do If a Remote Connection Failed After VS Code Is Opened?
- What Do I Do If I Failed to Access the Development Environment Through VS Code?
- What Do I Do If Error Message "Could not establish connection to xxx" Is Displayed During a Remote Connection?
- What Do I Do If the Connection to a Remote Development Environment Remains in "Setting up SSH Host xxx: Downloading VS Code Server locally" State for More Than 10 Minutes?
- What Do I Do If the Connection to a Remote Development Environment Remains in the State of "Setting up SSH Host xxx: Downloading VS Code Server locally" for More Than 10 Minutes?
- What Do I Do If the Connection to a Remote Development Environment Remains in the State of "ModelArts Remote Connect: Connecting to instance xxx..." for More Than 10 Minutes?
- What Do I Do If a Remote Connection Is in the Retry State?
- What Do I Do If Error Message "The VS Code Server failed to start" Is Displayed?
- What Do I Do If Error Message "Permissions for 'x:/xxx.pem' are too open" Is Displayed?
- What Do I Do If Error Message "Bad owner or permissions on C:\Users\Administrator/.ssh/config" or "Connection permission denied (publickey)" Is Displayed?
- What Do I Do If Error Message "ssh: connect to host xxx.pem port xxxxx: Connection refused" Is Displayed?
- What Do I Do If Error Message "ssh: connect to host ModelArts-xxx port xxx: Connection timed out" Is Displayed?
- What Do I Do If Error Message "Load key "C:/Users/xx/test1/xxx.pem": invalid format" Is Displayed?
- What Do I Do If Error Message "An SSH installation couldn't be found" or "Could not establish connection to instance xxx: 'ssh' ..." Is Displayed?
- What Do I Do If Error Message "no such identity: C:/Users/xx /test.pem: No such file or directory" Is Displayed?
- What Do I Do If Error Message "Host key verification failed" or "Port forwarding is disabled" Is Displayed?
- What Do I Do If Error Message "Failed to install the VS Code Server" or "tar: Error is not recoverable: exiting now" Is Displayed?
- What Do I Do If Error Message "XHR failed" Is Displayed When a Remote Notebook Instance Is Accessed Through VS Code?
- What Do I Do for an Automatically Disconnected VS Code Connection If No Operation Is Performed for a Long Time?
- What Do I Do If It Takes a Long Time to Set Up a Remote Connection After VS Code Is Automatically Upgraded?
- What Do I Do If Error Message "Connection reset" Is Displayed During an SSH Connection?
- What Can I Do If a Notebook Instance Is Frequently Disconnected or Stuck After I Use MobaXterm to Connect to the Notebook Instance in SSH Mode?
- What Do I Do If Error Message "Missing GLIBC, Missing required dependencies" Is Displayed When I Access the Development Environment Through VS Code?
- What Do I Do If an Error Message Is Displayed Indicating That ms-vscode-remote.remot-sdh Is Uninstalled Due To a Reported Issue When Using VSCode-huawei?
- Using Custom Images in Notebook
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Others
- How Do I Use Multiple Ascend Cards for Debugging in a Notebook Instance?
- Why Is the Training Speed Similar When Different Notebook Flavors Are Used?
- How Do I Perform Incremental Training When Using MoXing?
- How Do I View GPU Usage on the Notebook?
- How Can I Obtain GPU Usage Through Code?
- Which Real-Time Performance Indicators of an Ascend Chip Can I View?
- What Are the Relationships Between Files Stored in JupyterLab, Terminal, and OBS?
- How Do I Use the Datasets Created on ModelArts in a Notebook Instance?
- pip and Common Commands
- What Are Sizes of the /cache Directories for Different Notebook Specifications in DevEnviron?
- What Is the Impact of Resource Overcommitment on Notebook Instances?
- Error Message "Permission denied" Is Displayed When the tensorboard Command Is Used to Open a Log File in a Notebook Instance
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Training Jobs
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Functional Consulting
- What Are the Solutions to Underfitting?
- What Are the Precautions for Switching Training Jobs from the Old Version to the New Version?
- How Do I Obtain a Trained ModelArts Model?
- What Is TensorBoard Used for in Model Visualization Jobs?
- How Do I Obtain RANK_TABLE_FILE on ModelArts for Distributed Training?
- How Do I Obtain the CUDA and cuDNN Versions of a Custom Image?
- How Do I Obtain a MoXing Installation File?
- In a Multi-Node Training, the TensorFlow PS Node Functioning as a Server Will Be Continuously Suspended. How Does ModelArts Determine Whether the Training Is Complete? Which Node Is a Worker?
- How Do I Install MoXing for a Custom Image of a Training Job?
- Reading Data During Training
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Compiling the Training Code
- How Do I Create a Training Job When a Dependency Package Is Referenced by the Model to Be Trained?
- What Is the Common File Path for Training Jobs?
- How Do I Install a Library That C++ Depends on?
- How Do I Check Whether a Folder Copy Is Complete During Job Training?
- How Do I Load Some Well Trained Parameters During Job Training?
- How Do I Obtain Training Job Parameters from the Boot File of the Training Job?
- Why Can't I Use os.system ('cd xxx') to Access the Corresponding Folder During Job Training?
- How Do I Invoke a Shell Script in a Training Job to Execute the .sh File?
- How Do I Obtain the Dependency File Path to be Used in Training Code?
- What Is the File Path If a File in the model Directory Is Referenced in a Custom Python Package?
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Creating a Training Job
- What Can I Do If the Message "Object directory size/quantity exceeds the limit" Is Displayed When I Create a Training Job?
- What Are Sizes of the /cache Directories for Different Resource Specifications in the Training Environment?
- Is the /cache Directory of a Training Job Secure?
- Why Is a Training Job Always Queuing?
- What Determines the Hyperparameter Directory (/work or /ma-user) When Creating a Training Job?
- Managing Training Job Versions
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Viewing Job Details
- How Do I Check Resource Usage of a Training Job?
- How Do I Access the Background of a Training Job?
- Is There Any Conflict When Models of Two Training Jobs Are Saved in the Same Directory of a Container?
- Only Three Valid Digits Are Retained in a Training Output Log. Can the Value of loss Be Changed?
- Can a Trained Model Be Downloaded or Migrated to Another Account? How Do I Obtain the Download Path?
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Functional Consulting
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Deployment
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Model Management
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Importing Models
- How Do I Import the .h5 Model of Keras to ModelArts?
- How Do I Edit the Installation Package Dependency Parameters in a Model Configuration File When Importing a Model?
- How Do I Change the Default Port to Create a Real-Time Service Using a Custom Image?
- Does ModelArts Support Multi-Model Import?
- Restrictions on the Size of an Image for Importing an AI Application
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Importing Models
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Service Deployment
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Functional Consulting
- What Types of Services Can Models Be Deployed as on ModelArts?
- What Are the Differences Between Real-Time Services and Batch Services?
- What Is the Maximum Size of a Prediction Request Body?
- How Do I Select Compute Node Specifications for Deploying a Service?
- What Is the CUDA Version for Deploying a Service on GPUs?
- Real-Time Services
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Functional Consulting
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Model Management
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API/SDK
- Can ModelArts APIs or SDKs Be Used to Download Models to a Local PC?
- What Installation Environments Do ModelArts SDKs Support?
- 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?
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Using PyCharm Toolkit
- What Should I Do If an Error Occurs During Toolkit Installation?
- What Should I Do If an Error Occurs When I Edit a Credential in PyCharm Toolkit?
- Why Cannot I Start Training?
- What Should I Do If Error "xxx isn't existed in train_version" Occurs When a Training Job Is Submitted?
- What Should I Do If Error "Invalid OBS path" Occurs When a Training Job Is Submitted?
- What Should I Do If Error "NoSuchKey" Occurs When PyCharm Toolkit Is Used to Submit a Training Job?
- What Should I Do If an Error Occurs During Service Deployment?
- How Do I View Error Logs of PyCharm Toolkit?
- How Do I Use PyCharm ToolKit to Create Multiple Jobs for Simultaneous Training?
- What Should I Do If "Error occurs when accessing to OBS" Is Displayed When PyCharm ToolKit Is Used?
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General Issues
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Troubleshooting
- General Issues
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DevEnviron
- Environment Configuration Faults
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Instance Faults
- What Do I Do If I Cannot Access My Notebook Instance?
- What Should I Do When the System Displays an Error Message Indicating that No Space Left After I Run the pip install Command?
- What Do I Do If the Code Can Be Run But Cannot Be Saved, and the Error Message "save error" Is Displayed?
- ModelArts.6333 Error Occurs
- What Can I Do If a Message Is Displayed Indicating that the Token Does Not Exist or Is Lost When I Open a Notebook Instance?
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Code Running Failures
- Error Occurs When Using a Notebook Instance to Run Code, Indicating That No File Is Found in /tmp
- What Do I Do If a Notebook Instance Won't Run My Code?
- Why Does the Instance Break Down When dead kernel Is Displayed During Training Code Running?
- What Do I Do If cudaCheckError Occurs During Training?
- What Do I Do If Insufficient Space Is Displayed in DevEnviron?
- Why Does the Notebook Instance Break Down When opencv.imshow Is Used?
- Why Cannot the Path of a Text File Generated in Windows OS Be Found In a Notebook Instance?
- What Do I Do If No Kernel Is Displayed After a Notebook File Is Created?
- JupyterLab Plug-in Faults
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Save an Image Failures
- What If the Error Message "there are processes in 'D' status, please check process status using'ps -aux' and kill all the 'D' status processes" or "Buildimge,False,Error response from daemon,Cannot pause container xxx" Is Displayed When I Save an Image?
- What Do I Do If Error "container size %dG is greater than threshold %dG" Is Displayed When I Save an Image?
- What Do I Do If Error "too many layers in your image" Is Displayed When I Save an Image?
- What Do I Do If Error "The container size (xG) is greater than the threshold (25G)" Is Reported When I Save an Image?
- Other Faults
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Training Jobs
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OBS Operation Issues
- Failed to Correctly Read Files
- Error Message Is Displayed Repeatedly When a TensorFlow-1.8 Job Is Connected to OBS
- TensorFlow Stops Writing TensorBoard to OBS When the Size of Written Data Reaches 5 GB
- Error "Unable to connect to endpoint" Error Occurs When a Model Is Saved
- What Do I Do If Error Message "No such file or directory" Is Displayed in Training Job Logs?
- Error Message "BrokenPipeError: Broken pipe" Displayed When OBS Data Is Copied
- Error Message "ValueError: Invalid endpoint: obs.xxxx.com" Displayed in Logs
- Error Message "errorMessage:The specified key does not exist" Displayed in Logs
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In-Cloud Migration Adaptation Issues
- Failed to Import a Module
- Error Message "No module named .*" Displayed in Training Job Logs
- Failed to Install a Third-Party Package
- Failed to Download the Code Directory
- Error Message "No such file or directory" Displayed in Training Job Logs
- Failed to Find the .so File During Training
- Failed to Parse Parameters and Log Error Occurs
- Training Output Path Is Used by Another Job
- Failed to Find the Boot File When a Training Job Is Created Using a Custom Image
- Error Message "RuntimeError: std:exception" Displayed for a PyTorch 1.0 Engine
- Error Message "retCode=0x91, [the model stream execute failed]" Displayed in MindSpore Logs
- Error Occurred When Pandas Reads Data from an OBS File If MoXing Is Used to Adapt to an OBS Path
- Error Message "Please upgrade numpy to >= xxx to use this pandas version" 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 "AttributeError: module '***' has no attribute '***'" Displayed Training Job Logs
- System Container Exits Unexpectedly
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Memory Limit Issues
- Downloading Files Timed Out or No Space Left for Reading Data
- Insufficient Container Space for Copying Data
- Error Message "No space left" Displayed When a TensorFlow Multi-node Job Downloads Data to /cache
- Size of the Log File Has Reached the Limit
- Error Message "write line error" Displayed in Logs
- Error Message "No space left on device" Displayed in Logs
- Training Job Failed Due to OOM
- Common Issues Related to Insufficient Disk Space and Solutions
- Internet Access Issues
- Permission Issues
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GPU Issues
- Error Message "No CUDA-capable device is detected" Displayed in Logs
- Error Message "RuntimeError: connect() timed out" Displayed in Logs
- Error Message "cuda runtime error (10) : invalid device ordinal at xxx" Displayed in Logs
- Error Message "RuntimeError: Cannot re-initialize CUDA in forked subprocess" Displayed in Logs
- No GPU Is Found for a Training Job
-
Service Code Issues
- Error Message "pandas.errors.ParserError: Error tokenizing data. C error: Expected .* fields" Displayed in Logs
- Error Message "max_pool2d_with_indices_out_cuda_frame failed with error code 0" Displayed in Logs
- Training Job Failed with Error Code 139
- Error Message "'(slice(0, 13184, None), slice(None, None, None))' is an invalid key" Displayed in Logs
- Error Message "DataFrame.dtypes for data must be int, float or bool" Displayed in Logs
- Error Message "CUDNN_STATUS_NOT_SUPPORTED" Displayed in Logs
- Error Message "Out of bounds nanosecond timestamp" Displayed in Logs
- Error Message "Unexpected keyword argument passed to optimizer" Displayed in Logs
- Error Message "no socket interface found" Displayed in Logs
- Error Message "Runtimeerror: Dataloader worker (pid 46212) is killed by signal: Killed BP" Displayed in Logs
- Error Message "AttributeError: 'NoneType' object has no attribute 'dtype'" Displayed in Logs
- Error Message "No module name 'unidecode'" Displayed in Logs
- Distributed Tensorflow Cannot Use tf.variable
- When MXNet Creates kvstore, the Program Is Blocked and No Error Is Reported
- ECC Error Occurs in the Log, Causing Training Job Failure
- Training Job Failed Because the Maximum Recursion Depth Is Exceeded
- Training Using a Built-in Algorithm Failed Due to a bndbox Error
- Training Job Status Is Reviewing Job Initialization
- Training Job Process Exits Unexpectedly
- Stopped Training Job Process
- Training Job Suspended
- Training Jobs Created in a Dedicated Resource Pool
- Training Performance Issues
-
OBS Operation Issues
-
Inference Deployment
-
AI Application Management
- Creating an AI Application Failed
- Failed to Build an Image or Import a File When an IAM user Creates an AI Application
- Obtaining the Directory Structure in the Target Image When Importing an AI Application Through OBS
- Failed to Obtain Certain Logs on the ModelArts Log Query Page
- Failed to Download a pip Package When an AI Application Is Created Using OBS
- Failed to Use a Custom Image to Create an AI application
- Insufficient Disk Space Is Displayed When a Service Is Deployed After an AI Application Is Imported
- Error Occurred When a Created AI Application Is Deployed as a Service
- Invalid Runtime Dependency Configured in an Imported Custom Image
- Garbled Characters Displayed in an AI Application Name Returned When AI Application Details Are Obtained Through an API
- The Model or Image Exceeded the Size Limit for AI Application Import
- A Single Model File Exceeded the Size Limit (5 GB) for AI Application Import
- Creating an AI Application Failed Due to Image Building Timeout
-
Service Deployment
- Error Occurred When a Custom Image Model Is Deployed as a Real-Time Service
- Alarm Status of a Deployed Real-Time Service
- Failed to Start a Service
- What Do I Do If an Image Fails to Be Pulled When a Service Is Deployed, Started, Upgraded, or Modified?
- What Do I Do If an Image Restarts Repeatedly When a Service Is Deployed, Started, Upgraded, or Modified?
- What Do I Do If a Container Health Check Fails When a Service Is Deployed, Started, Upgraded, or Modified?
- What Do I Do If Resources Are Insufficient When a Service Is Deployed, Started, Upgraded, or Modified?
- Error Occurred When a CV2 Model Package Is Used to Deploy a Real-Time Service
- Service Is Consistently Being Deployed
- A Started Service Is Intermittently in the Alarm State
- Failed to Deploy a Service and Error "No Module named XXX" Occurred
- Insufficient Permission to or Unavailable Input/Output OBS Path of a Batch Service
-
Service Prediction
- Service Prediction Failed
- Error "APIG.XXXX" Occurred in a Prediction Failure
- Error ModelArts.4206 Occurred in Real-Time Service Prediction
- Error ModelArts.4302 Occurred in Real-Time Service Prediction
- Error ModelArts.4503 Occurred in Real-Time Service Prediction
- Error MR.0105 Occurred in Real-Time Service Prediction
- Method Not Allowed
- Request Timed Out
- Error Occurred When an API Is Called for Deploying a Model Created Using a Custom Image
-
AI Application Management
-
MoXing
- Error Occurs When MoXing Is Used to Copy Data
- How Do I Disable the Warmup Function of the Mox?
- Pytorch Mox Logs Are Repeatedly Generated
- Does moxing.tensorflow Contain the Entire TensorFlow? How Do I Perform Local Fine Tune on the Generated Checkpoint?
- Copying Data Using MoXing Is Slow and the Log Is Repeatedly Printed in a Training Job
- Failed to Access a Folder Using MoXing and Read the Folder Size Using get_size
- APIs or SDKs
- Videos
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ModelArts is a one-stop AI development platform that enables developers and data scientists of any skill level to rapidly build, train, and deploy models anywhere, from the cloud to the edge. Accelerate end-to-end AI development and foster AI innovation with key capabilities, including data preprocessing, semi-automated data labeling, distributed training, and automated model building.
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