Questions regarding actor_network

[hongzimao]

Questions regarding actor_network

[hongzimao]

1. Notice that different jobs may have different number of nodes (computation stages). We can't simply merge features from two jobs into a 2D matrix because of size mismatch. However, the 3D input will be reshape to 2D in the pipeline (after the message passing step in graph neural network). Keep in mind we need to keep track of which row in the 2D features corresponding to which job from the 3D input. If you are interested, we implement the reshape operation (for sparse features) in https://github.com/hongzimao/decima-sim/blob/c010dd74ff4b7566bd0ac989c90a32cfbc630d84/sparse_op.py (you can trace how these functions are used in the feature processing pipeline)

2. We include the original feature because global level aggregation may find it more straightforward to use (e.g., sum the total work of all nodes). Feel free to leave out the merge and see if it affects the performance. It will be interesting to know.