Is it possible to specify the pod resources (memory and CPU requests and limits), for a task in a kubeflow pipeline created with Kale?
To provide more details, when writing the kubflow pipeline in python using the DSL, I can specify the task pod resources as follows:
task1 = (
train_op(...)
.set_memory_request('600M')
.set_memory_limit('1200M')
.set_cpu_request('700m')
.set_cpu_limit('1400m')
)
Is it possible to do the same with Kale?