allow_reuse to force run steps in Azure ml pipeline python sdk v2

• Package Name: azure.ai.ml
• Package Version:
• Operating System: linux
• Python Version: 3.9

Describe the bug I am running a training pipeline on azure ml python sdk v2. It is running fine but when I am reinitiating it, it takes only 1 second to finish which I assume is taking previous step from last ran pipeline. In v1 sdk we have allow_reuse parameter to stop this behaviour. But how can we do that in ml python sdk v2.

I used the following code to create a step:

 data_prep_component = command(
     name="data_prep_credit_defaults",
     display_name="Data preparation for training",
     description="Preprocessing the training data",
     inputs={
         #"input_dir": Input(type="string"),
         "output_dir": Input(type="string"),
     },
     outputs={
         #"output_dir": Output(type="string"),
     },
     # The source folder of the component
     code=PATH,
     command="""python datapreprocessor.py \
             --output_dir ${{inputs.output_dir}} \
             """,
     environment="bp_environment:3.0",
 )

[wangchao1230]

Thanks for the feedback. Please use is_deterministic argument.

command(is_deterministic=Fasle)

[msftbot[bot]]

Hi @rjtshrm, since you haven’t asked that we “/unresolve” the issue, we’ll close this out. If you believe further discussion is needed, please add a comment “/unresolve” to reopen the issue.