New RunLLM response generated: >>>*# Question* I seem to be running into the same bug as this issue opened up here: https://github.com/flyteorg/flyte/issues/4957 - It seems like there is a hint that you can use with_runtime_overrides, but I don't see that mentioned anywhere. Any ideas? # Answer The issue you mentioned is not directly available in the provided data sources. However, the concept of using

with_runtime_overrides

is discussed in the context of Flyte's ability to override task configurations at runtime. This feature allows you to specify different resource configurations for tasks within a workflow. According to the RFC on Config Override,

with_runtime_overrides

can be used to mark specific nodes in a workflow as overridable. This allows you to configure different resources for the same task when executed in different contexts. Here's an example of how you might use `with_runtime_overrides`:

from flytekit import task, workflow, Resources

@task
def train(dataset_uri: str) -> str:
    # Training logic here
    return "model_uri"

@task
def evaluate(model_uri: str):
    # Evaluation logic here
    pass

@workflow
def wf():
    model1 = train(dataset_uri="s3://bucket/dataset1").with_runtime_overrides("model_1_resources")
    model2 = train(dataset_uri="s3://bucket/dataset2").with_runtime_overrides("model_2_resources")
    
    evaluate(model_uri=model1)
    evaluate(model_uri=model2)

This example demonstrates how to use

with_runtime_overrides

to apply different resource configurations to the same task within a workflow. Would you like more detail on implementing this or any specific part of the process? Sources: - RFC on Config Override Slack Link https://flyte-org.slack.com/archives/CP2HDHKE1/p1723645903.065259 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.