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License: Apache License 2.0
Hi Mr. Rosenbaum,
Really nice work! I have a question from the forward() function in EXAMPLES.md.
y, meta, actions = self._initialization(y, tasks=tasks) y, meta, task_actions = self._per_task_assignment(y, meta, actions) y, meta, routing_actions_1 = self._decision_1(y, meta, task_actions) y, meta, _ = self._selection_1(y, meta, routing_actions_1)
What is the difference between the contents of actions
returned by the init layer, task_actions
from PerTaskAssignment, and routing_actions
from the decision layers? Why do we pass task_actions
to each decision layer and routing_actions
to each selection layer? Furthermore, why do we throw away the _
actions returned by the selection layers?
Could you help me understand, please? Thanks!
Hi,
I ran the script provided in PytorchRouting/Examples/run_experiments.py
and was unable to get the results of CIFAR-MTL reported in the paper (I'm getting ~53% while the paper reports 70%). I notice that there's a comment in run_experiments.py
saying
WPL_routed_all_fc(3, 512, 5, dataset.num_tasks, dataset.num_tasks) Training averages: Model loss: 0.427, Routing loss: 8.864, Accuracy: 0.711 Testing averages: Model loss: 0.459, Routing loss: 9.446, Accuracy: 0.674
I wonder if you are using a different set of hyperparameters in the paper and willing to share the hyperparams with me? Thanks!
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