@ancient-wolf-19325 can I launch local executions with cache enabled from code and get their outputs?

Yes, you can launch local executions with cache enabled in Flyte and retrieve their outputs. To enable caching, you need to set the

cache

parameter to

True

and specify a

cache_version

when defining your task. This ensures that the task results are cached and can be reused in subsequent executions with the same inputs. For example, you can define a task with caching as follows:

from flytekit import task

@task(cache=True, cache_version="1.0")
def my_task(x: int) -> int:
    return x * x

When you execute this task locally, Flyte will check the cache and reuse the result if the inputs haven't changed. You can retrieve the outputs directly from the task execution. Would you like more details on how to execute this in a specific environment or retrieve outputs? Sources: - Flyte task caching example 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 How can I execute that task locally from code?

To execute a Flyte task locally from code, you can call the task as a regular Python function. Here's how you can do it:

from flytekit import task

@task(cache=True, cache_version="1.0")
def my_task(x: int) -> int:
    return x * x

if __name__ == "__main__":
    result = my_task(x=5)
    print(f"Result: {result}")

This code snippet defines a task with caching enabled and executes it locally by calling it like a standard Python function. The result is printed to the console. Would you like more details on this process or any specific aspect of Flyte task execution? Sources: - Flyte task execution 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 when I run this it does not cache the result

To ensure that caching works when executing a Flyte task locally, you need to verify a few things: 1. Cache Configuration: Ensure that the

cache

parameter is set to

True

and a

cache_version

is specified in the task decorator. This is necessary for Flyte to recognize and store the task's output in the cache. 2. Local Cache Setup: Flyte uses

diskcache

for local caching. Make sure that the local cache directory (

~/.flyte/local-cache/

) is accessible and writable. If the directory does not exist, Flyte should create it automatically. 3. Consistent Inputs: Caching relies on the inputs being the same across executions. Ensure that the inputs to the task are consistent between runs. 4. Environment Variable: Check if the environment variable

FLYTE_LOCAL_CACHE_ENABLED

is set to

True

or not set at all, as setting it to

False

will disable local caching. If these conditions are met and caching still doesn't work, there might be an issue with the local cache setup or configuration. Would you like more detailed troubleshooting steps or information on configuring the local cache? Sources: - https://discuss.flyte.org/t/16187995/hello-i-m-running-a-task-that-takes-a-flytefile-as-input-and/ - https://docs.flyte.org/en/latest/user_guide/development_lifecycle/caching.html#how-does-caching-work 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.