That makes sense to me, what do you think about the following:
` from clearml import PipelineDecorator

class AbstractPipeline(object):
def init():
pass

@PipelineDecorator.pipeline(...)
def run(self, run_arg):
data = self.step1(run_arg)
final_model = self.step2(data)
self.upload_model(final_model)

@PipelineDecorator.component(...)
def step1(self, arg_a):
# do something
return value

@PipelineDecorator.component(...)
def step2(self, arg_b):
# do something
return value This would mean steps 1/2 are executed on different machines, where the data passed between them is automatically serialized. It also allows you to build the actual logic in def run ` that drives the different components.

wdyt?