Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

It looks like this in the UI, with many sub tasks named with xgbse_train.
Is there a way to make the task names to show the different values of tenure, e.g. xgbse_train_1, xgbse_train_2, …xgbse_train_24?

```@dynamic
def train_foreach_tenure(df, ...)
    ...
        training_task(df=data).with_overrides(name=f"train-tenure-{tenure}")```


I got this error when I do that.
```    return object.__getattribute__(self, name)
AttributeError: 'DataFrame' object has no attribute 'with_overrides'```

I tried xgbse_train(…).with_overrides(name=f”train-tenure-{tenure}“) in flyte remote , it ran fine but I don’t see the task names being changed.

<@UNR3C6Y4T>, the dynamic workflow was inside another workflow if that makes the difference.

<@U044DJ094JG>, would you mind trying `with_overrides` on a simple task and see if that works?

<@U01J90KBSU9>, I tried with a simple task, and nothing works.

It works for me.
```@dynamic
def dynamic_wf():
    t1(x=x).with_overrides(name="Hello-hello")```

Which flytekit version have you installed?

<@U03NU4U6Q84>, what flyte version is running in Flyte WM server ?

<@U01J90KBSU9>, thanks for verifying.
The only thing I did differently was I have a param in the name of the task.
```@workflow
def wf_train_parallel():
    for tenure in range(1, 25, 1):
        xgbse_training(
            tenure=tenure,
            df=df
        ).with_overrides(name=f"xgbse_training_{tenure}")```

In this case, neither workflow nor dynamic works.

<@U01J90KBSU9> Does that mean which version is available in the propeller pod's image?
This is the image &amp; tag we are using for flytepropeller.

Or, Do you want the local version of the *flytekit* where we are running *pyflyte run* commands to run our workflows?

```    repository: pingsutw/flytepropeller 
    tag: fcfce5e490382297e88e8f8c5ca02084acf6a4d8 ```

Yeah, I'm asking for the flytekit version.

<@U044DJ094JG>, I'm assuming the workflow you're referring to is a dynamic workflow since the code snippet you attached won't work.

`with_overrides` is working in a dynamic workflow but not in a workflow.

cc <@U0265RTUJ5B>

<@U01J90KBSU9>, I tried both workflow and dynamic, neither has worked.

It works for me. I installed flytekit 1.5

<@U01J90KBSU9>, in my custom docker image, I am using flytekit==1.2.4. Is this the place to upgrade the flytekit to 1.5?
Or the Flyte admin server’s flytekit version needs to be upgraded?
CC: <@U03NU4U6Q84>

Yeah, please update the flytekit version in your docker image.

<@U01J90KBSU9>,
I also have other flyte packages like below in the docker image.
Do I have to upgrade them all with the flytekit upgraded?
```flytekitplugins-snowflake==1.2.4
flytekitplugins-spark==1.2.4 ```

I have a long dependency list. That will for sure cause conflicts.

Right. It'd be great if you can bump the versions coz 1.2.x is quite old.