SageMaker framework processor compatibility with sagemaker pipelines

You can do this with the latest version of the sagemaker sdk 2.89.0

from sagemaker.workflow.pipeline_context import PipelineSession

session = PipelineSession()

inputs = [
    ProcessingInput(
    source="s3://my-bucket/sourcefile", 
    destination="/opt/ml/processing/inputs/",),
]

processor = FrameworkProcessor(...)

step_args = processor.run(inputs=inputs, source_dir="...")

step_sklearn = ProcessingStep(
    name="MyProcessingStep",
    step_args=step_args,
)