@ancient-wolf-19325 My flyte execution for a workflow failed for some minor reasons. The workflow shows failed status, is there a way I can debug directly into that instance and try fixes? or do I have to re-deploy my entire container image and execute the code again with fixes. Can I fix containertask directly in flyte? if they fail for requirements or small coding errors

To debug a failed Flyte execution, you can use the Flyte Console to inspect logs and understand the failure reasons. Flyte provides a feature called FlyteInteractive that allows you to convert a Python task into a Visual Studio Code server for remote debugging. This can be particularly useful for fixing small coding errors or requirement issues without redeploying the entire container image. To use this feature, you can add the

@vscode

decorator to your task function. This will start a VSCode server during task execution, allowing you to connect and debug interactively. You can connect to the VSCode server using port forwarding or by exposing a URL on the Flyte console. This setup allows you to inspect and modify code, set breakpoints, and debug the task interactively. Would you like more details on setting up FlyteInteractive for debugging? Sources: - FlyteInteractive 👍 1 button 👎 0 button 💡 Hint: Mention @ancient-wolf-19325 in the thread for followups.

Yes, FlyteInteractive for debugging seems effective but how can I happy that to a ContainerTask()

FlyteInteractive is primarily designed for Python tasks and not directly applicable to

ContainerTask

. However, you can achieve a similar debugging experience by using a combination of Flyte's logging and local testing capabilities. For

ContainerTask

, you can: 1. Local Testing: Test your container locally using Docker to ensure that all dependencies and code are functioning as expected before deploying to Flyte. This can help catch issues early. 2. Logging: Use extensive logging within your container to capture detailed information about the execution. This can help you diagnose issues when the task runs in Flyte. 3. Flyte Console: Use the Flyte Console to inspect logs and execution details. This can provide insights into what went wrong during the execution. 4. Iterative Development: Make small, incremental changes to your container and redeploy to Flyte for testing. This can help isolate and fix issues more efficiently. Would you like more detailed steps on any of these approaches? Sources: - https://github.com/flyteorg/flytesnacks/blob/master/examples/flyteinteractive_plugin/flyteinteractive_plugin/vscode.py - https://docs.flyte.org/en/latest/flytesnacks/examples/flyteinteractive_plugin/vscode.html#interactively-debug-the-task 👍 1 button 👎 0 button 💡 Hint: Mention @ancient-wolf-19325 in the thread for followups.

@ancient-wolf-19325 My local machine cannot run Docker image from ContainerTask as it requires GPUs, so even if I attempt to run flyte local to test workflow I cannot.

It seems likely that running GPU-dependent tasks locally can be challenging if your local machine does not have a GPU. However, you can consider the following approaches to test and debug your Flyte workflows: 1. Use a Remote Environment: If possible, use a remote environment that has GPU capabilities. You can set up a cloud-based environment or use a remote server with GPU support to test your workflows. This way, you can leverage the necessary hardware resources without relying on your local machine. 2. Mocking and Unit Testing: For parts of your workflow that do not require GPU, you can use Flyte's mocking capabilities to test the logic. Flyte provides utilities to mock tasks, allowing you to test workflows without executing the actual task logic. This can be useful for verifying the workflow structure and data flow. 3. Flyte Sandbox with GPU Support: If you have access to a machine with a GPU, you can set up a Flyte sandbox with GPU support. According to this pull request, Flyte supports GPU-enabled sandboxes, which can be used to test GPU-dependent workflows. Would you like more details on setting up a remote environment or using Flyte's mocking capabilities? Sources: - Configuring access to GPUs - this pull request 👍 1 button 👎 0 button 💡 Hint: Mention @ancient-wolf-19325 in the thread for followups.