New RunLLM response generated: >>>*# Question* It...
# runllm-flyte-trial
a
New RunLLM response generated: >>>*# Question* It's not clear to me how to create this what I would suggest is a simple workflow. The workflow takes a list of integers and kicks off a
DoubleTask
for each integer. The
SumTask
collects the results from each
DoubleTask
and sums them up. # Answer To create a workflow that takes a list of integers, doubles each integer using a
DoubleTask
, and then sums the results using a
SumTask
, you can use Flyte's
map_task
to handle the parallel execution of the
DoubleTask
and then a regular task to sum the results. Here's how you can do it: 1. Define the
DoubleTask
: This task will double an integer. 2. Define the
SumTask
: This task will sum a list of integers. 3. Create the workflow: Use
map_task
to apply
DoubleTask
to each integer in the list and then use
SumTask
to sum the results. Here's the code:
Copy code
from flytekit import task, workflow, map_task

# Define the DoubleTask
@task
def double_task(x: int) -> int:
    return x * 2

# Define the SumTask
@task
def sum_task(numbers: list[int]) -> int:
    return sum(numbers)

# Create the workflow
@workflow
def double_and_sum_workflow(numbers: list[int]) -> int:
    doubled_numbers = map_task(double_task)(x=numbers)
    return sum_task(numbers=doubled_numbers)

# Example usage
if __name__ == "__main__":
    result = double_and_sum_workflow(numbers=[1, 2, 3, 4, 5])
    print(f"Result: {result}")
Explanation: 1. DoubleTask: This task takes an integer and returns its double. 2. SumTask: This task takes a list of integers and returns their sum. 3. Workflow: The workflow uses
map_task
to apply
DoubleTask
to each integer in the input list. The results are then passed to
SumTask
to get the final sum. This approach leverages Flyte's ability to handle parallel execution efficiently using
map_task
. Would you like more details on any specific part of this workflow? Sources: - Map Tasks Slack Link https://flyte-org.slack.com/archives/CP2HDHKE1/p1722549563.702889 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.