Amr Sharaf

creating a pipeline with CLI-v2 and specifying a custom output path still doesn't work, the default output path is always used: azureml://datastores/${{default_datastore}}/paths/azureml/${{name}}/${{output_name}}/ Any plans for fixing this?

Never mind, there was a typo in the component output parameter, would be great if we could through an error in this case

Yes, loss[i] is the tail sum of losses starting at timestep i. We can do this at reinforce.py (take loss per time step and convert it to tail sums) or...

right, then I think the other way to do it is to accept loss per time step vector and do the tail summing in reinforce? (gamma should be a parameter...

Also some related questions, can I create an optimizer over dependents()? How is this different from using parameters() instead? Does it keep track of the computational graph? A use case...