Hmm, actually I am not seeing it change regardless of where the task is defined. I think I am missing something obvious? Here is a more concrete example of what I am testing now: example_workflow.py

from flytekit import task, workflow, Resources

from example.example_task import task_in_another_file


@task(
    requests=Resources(mem="1Gi"),
    limits=Resources(mem="1Gi"),
)
def task_in_same_file(
        word: str,
) -> str:
    return f"Example {word}"


@workflow
def simple_workflow(word: str) -> str:
    word_result = task_in_same_file(word=word).with_overrides(
        requests=Resources(mem="2Gi"),
        limits=Resources(mem="2Gi"),
    )
    word_result2 = task_in_another_file(word=word_result).with_overrides(
        requests=Resources(mem="2Gi"),
        limits=Resources(mem="2Gi"),
    )
    return word_result2

example_task.py

from flytekit import task, Resources


@task(
    requests=Resources(mem="1Gi"),
    limits=Resources(mem="1Gi"),
)
def task_in_another_file(
        word: str,
) -> str:
    return f"Example {word}"

Command:

pyflyte -v run -p mlplatform -d public  --copy-all --remote example/example_workflow.py simple_workflow --word my_word

Looking at the admin page for both versions of the task I see the non overriden values: