Troubleshooting notebooks

Nothing happens after clicking "Open JupyterLab"

Verify that your browser does not block pop-up tabs. JupyterLab opens in a new browser tab.

No proxy access to JupyterLab

AI Platform Notebooks instance settings, network configuration, and other factors can prevent proxy access to JupyterLab. Use SSH to connect to JupyterLab and learn more about why you might not have proxy access.

Downloading files from JupyterLab results in 403 (Forbidden) error

The "notebook" package in the M23 release of Deep Learning VM includes a bug that prevents you from downloading a file using the JupyterLab UI. You can read more about the bug at Cannot download files after JL update and Download file functionality is broken in notebook packages version 5.7.6+ (5.7.7, 5.7.8).

If you are using the M23 release of Deep Learning VM you can resolve the issue in one of two ways:

Use a Safari browser. The download functionality works for Safari.
Downgrade your notebook package to version 5.7.5.

To downgrade your notebook package:
1. Connect to your Deep Learning VM using SSH. For information on connecting to a VM using SSH, see Connecting to instances.
2. Run the following commands:
```
sudo pip3 install notebook==5.7.5
sudo service jupyter restart
```

Opening a notebook results in a 403 (Forbidden) error

When you click Open JupyterLab to open a notebook, the notebook opens in a new browser tab. If you are signed in to more than one Google account, the new tab opens with your default Google account. If you did not create your notebook instance with your default Google account, the new browser tab will show a 403 (Forbidden) error.

To resolve the issue, follow these steps:

Ensure that your Google account--the account that you were signed-in as when you created your notebook instance--has Editor permission.
Console
1. Open the IAM page in the Cloud Console.
  Open the IAM page
2. Verify that the your account is in the Editor role.
3. If not, edit the your account and add it to the Editor role.
For more information, see Granting, changing, and revoking access to resources in the Cloud IAM documentation.
gcloud
1. If you have not already, install the gcloud command-line tool.
2. Add the roles/editor role to your account with the following command. Replace project-id with the ID of your GCP project, and replace your-google-account with the name of your Google account. For example sample-user@gmail.com.
```
gcloud projects add-iam-policy-binding project-id \
--member user:your-google-account \
--role roles/editor
```
Open a new instance of your browser and sign into only one Google account--the account that you were signed-in as when you created your notebook instance. Open your JupyterLab notebook from this new browser instance.

GPU quota has been exceeded

Determine the number of GPUs available in your project by checking the quotas page. If GPUs are not listed on the quotas page, or you require additional GPU quota, you can request a quota increase. See Requesting additional quota on the Compute Engine Resource Quotas page.

New notebook is not created (insufficient permissions)

It usually takes about a minute to create a notebook instance. If your new notebook instance remains in "pending" state indefinitely, it might be because the service account used to start the notebook instance does not have the required Editor permission in your Google Cloud Platform (GCP) project.

You can start a notebook instance with a custom service account that you create or in single-user mode with a userid. If you start a notebook instance in single-user mode, then your notebook instance begins the boot process using Compute Engine default service account before turning control over to your userid.

To verify that a service account has the appropriate permissions, follow these steps:

Console

Open the IAM page in the Cloud Console.
Open the IAM page
Determine the service account used with your notebook instance, which is one of the following:
- A custom service account that you specified when you created your notebook instance.
- The Compute Engine default service account for your GCP project, which is used when you start your notebook instance in single-user mode. The Compute Engine default service account for your GCP project is named project-number-compute@developer.gserviceaccount.com. For example: 113377992299-compute@developer.gserviceaccount.com.
Verify that your service account is in the Editor role.
If not, edit the service account and add it to the Editor role.

For more information, see Granting, changing, and revoking access to resources in the Cloud IAM documentation.

gcloud

If you have not already, install the gcloud command-line tool.
Get the name and project number for your GCP project with the following command. Replace project-id with the project ID for your GCP project.
```
gcloud projects describe project-id
```
You should see output similar to the following, which displays the name (name:) and project number (projectNumber:) for your project.
```
createTime: '2018-10-18T21:03:31.408Z'
lifecycleState: ACTIVE
name: my-project-name
parent:
 id: '396521612403'
 type: folder
projectId: my-project-id-1234
projectNumber: '113377992299'
```
Determine the service account used with your notebook instance, which is one of the following:
- A custom service account that you specified when you created your notebook instance.
- The Compute Engine default service account for your GCP project, which is used when you start your notebook instance in single-user mode. The Compute Engine default service account for your GCP project is named project-number-compute@developer.gserviceaccount.com. For example: 113377992299-compute@developer.gserviceaccount.com.
Add the roles/editor role to the service account with the following command. Replace project-name with the name of your project, and replace service-account-id with the service account ID for your notebook instance.
```
gcloud projects add-iam-policy-binding project-name \
 --member serviceAccount:service-account-id \
 --role roles/editor
```

Restart the Jupyter service

To restart the Jupyter service, you can stop and start the VM from the Notebook instances page or you can log in to the notebook instance via SSH and enter:

sudo service jupyter restart