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1.0.0
1.0.0
  • About Paperspace Gradient
  • Get Started
    • Quick Start
    • Core Concepts
    • Install the Gradient CLI
    • Common Errors
  • Tutorials
    • Tutorials List
      • Getting Started with Notebooks
      • Train a Model with the Web UI
      • Train a Model with the CLI
      • Advanced: Distributed training sample project
      • Registering Models in Gradient
      • Using Gradient Deployments
      • Using Custom Containers
  • Notebooks
    • Overview
    • Using Notebooks
      • The Notebook interface
      • Notebook metrics
      • Share a Notebook
      • Fork a Notebook
      • Notebook Directories
      • Notebook Containers
        • Building a Custom Container
      • Notebook Workspace Include Files
      • Community (Public) Notebooks
    • ML Showcase
    • Run on Gradient (GitHub badge)
  • Projects
    • Overview
    • Managing Projects
    • GradientCI
      • GradientCI V1 (Deprecated)
  • Workflows
    • Overview
      • Getting Started with Workflows
      • Workflow Spec
      • Gradient Actions
  • Experiments
    • Overview
    • Using Experiments
      • Containers
      • Single-node & multi-node CLI options
      • Experiment options
      • Gradient Config File
      • Environment variables
      • Experiment datasets
      • Git Commit Tracking
      • Experiment metrics
        • System Metrics
        • Custom Metrics
      • Experiment Logs
      • Experiment Ports
      • GradientCI Experiments
      • Diff Viewer
      • Hyperparameter Tuning
    • Distributed Training
      • Distributed Machine Learning with Tensorflow
      • Distributed Machine Learning with MPI
        • Distributed Training using Horovod
        • Distributed Training Using ChainerMN
  • Jobs
    • Overview
    • Using Jobs
      • Stop a Job
      • Delete a Job
      • List Jobs
      • Job Logs
      • Job Metrics
        • System Metrics
        • Custom Metrics
      • Job Artifacts
      • Public Jobs
      • Building Docker Containers with Jobs
  • Models
    • Overview
    • Managing Models
      • Example: Prepare a TensorFlow Model for Deployments
      • Model Path, Parameters, & Metadata
    • Public Models
  • Deployments
    • Overview
    • Managing Deployments
      • Deployment Containers
        • Custom Deployment Containers
      • Deployment States
      • Deployment Logs
      • Deployment Metrics
      • A Deployed Model's API Endpoint
        • Gradient + TensorFlow Serving
      • Deployment Autoscaling
      • Optimize Models for Inference
  • Data
    • Types of Storage
      • Managing Data in Gradient
        • Managing Persistent Storage with VMs
    • Storage Providers
    • Versioned Datasets
    • Public Datasets Repository
  • TensorBoards
    • Overview
    • Using Tensorboards
      • TensorBoards getting started with Tensorflow
  • Metrics
    • Metrics Overview
    • View and Query Metrics
    • Push Metrics
  • Secrets
    • Overview
    • Using Secrets
  • Gradient SDK
    • Gradient SDK Overview
      • Projects Client
      • Experiments Client
      • Models Client
      • Deployments Client
      • Jobs Client
    • End to end tutorial
    • Full SDK Reference
  • Instances
    • Instance Types
      • Free Instances (Free Tier)
      • Instance Tiers
  • Gradient Cluster
    • Overview
    • Setup
      • Managed Private Clusters
      • Self-Hosted Clusters
        • Pre-installation steps
        • Gradient Installer CLI
        • Terraform
          • Pre-installation steps
          • Install on AWS
          • Install on bare metal / VMs
          • Install on NVIDIA DGX
        • Let's Encrypt DNS Providers
        • Updating your cluster
    • Usage
  • Tags
    • Overview
    • Using Tags
  • Machines (Paperspace CORE)
    • Overview
    • Using Machines
      • Start a Machine
      • Stop a Machine
      • Restart a Machine
      • Update a Machine
      • Destroy a Machine
      • List Machines
      • Show a Machine
      • Wait For a Machine
      • Check a Machine's utilization
      • Check availability
  • Paperspace Account
    • Overview
    • Public Profiles
    • Billing & Subscriptions
    • Hotkeys
    • Teams
      • Creating a Team
      • Upgrading to a Team Plan
  • Release Notes
    • Product release notes
    • CLI/SDK Release notes
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  • User Errors
  • Internal Errors
  1. Get Started

Common Errors

This document covers common Gradient errors and what they mean. Should you submit a support ticket, please provide the error message and any pre-emptive behavior.

User Errors

Error downloading artifacts

We were unable to download the workspace from the URL you provided. Check your notebook logs for details.

Exceeded timeout of 120 seconds. Waiting for readiness.

The jupyter kernel for your notebook did not start in a reasonable amount of time. Be sure to check your notebook logs for any start up issues.

Failed to pull image: Image does not exist

The supplied container image does not exist on the supplied container registry.

Exceeded timeout of 1800 seconds waiting for image pull

We limit image pulls to 1800 seconds. We recommend trimming down the size of your container to ensure it can start quickly for the best user experience. Containers should only contain installed packages and configuration - data should be kept in /notebook or /storage

Command [...] exited with code 1

Your jupyter kernel crashed with a failure exit code. Check your notebook log for error messages.

Command [...] exited with code 127

This error occurs most with custom containers. It means that the executable was not found in your path. You may have made a typo in your command, or you can fully elaborate the path e.g. /home/jovyan/jupyter instead of just jupyter

Command [...] exited with code 137

Your notebook has used too much memory and has been terminated to preserve the experience of other customers. You can try using a larger machine type or profiling your notebook to ensure you are within the limits of the system.

Internal Errors

Error uploading notebook workspace

We encountered an internal error uploading /notebook for offline viewing and forking. Your next notebook start should retain all of its files, but the offline viewer and new forks may not pick up your latest changes.

Failed to pull image

We were unable to pull your container. Temporary network errors are often the cause of this failure, particularly for large containers. Trying to start your notebook again should have better luck.

Error caching notebook image

We were unable to take a snapshot of your notebook environment. Files that are not in /storage or /notebooks created during this run of the notebook may not have uploaded. These files are usually newly installed apt or pip packages. Your next run will use the last successful snapshot.

Notebook was terminated Early

Your notebook was preempted before teardown could begin. Usually, this error message appears because the machine your notebook was on has crashed.

Error creating container

We were unable to start the container on the host system.

Failed to send the notebook to the cluster

Internal error

PreviousInstall the Gradient CLINextTutorials List

Last updated 4 years ago

There was an issue forwarding the notebook to the cluster, and it has not been able to start. You have not been billed, and we recommend retrying the notebook start. Check our for any ongoing issues.

We were unable to process your notebook for unspecified reasons. Check our for any ongoing issues.

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