Comments (9)
I just added the error_goal parameter to Optimizer.train()
in 60c5756.
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Nice!
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I am a bit confused. The commit was again master. Shouldn't this be implemented in new_user_interface
?
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It's a separate feature so I committed it in master, new_user_interface should be merged with master soon too, right?
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My understanding from this comment was that new_user_interface would become the new master. Just wanted to make sure nothing is forgotten in the end...
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@cgogolin is correct. We will be merging master into new_user_interface (@josh146 is doing so right now), which will become the main master branch
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Correct me if I'm wrong but I think technically the result is more or less the same, the two branches merge and in the end the branch reference "master" points to the merge commit.
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Yes. But since the new_user_interface
branch is ahead of the old master
branch by ~100 new commits, please develop any new features on top of the new_user_interface
branch (to save unnecessary merge issues later)
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Note that for first release we are targeting very simple optimizers (they likely won't even have a "train" method, since that is too tied to ML assumptions --instead they will have something like 'optimize' or 'step').
I am pushing this issue to future release.
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Related Issues (20)
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- [BUG] Differentiation does not work with `dynamic_one_shot` HOT 1
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- [BUG] No warnings or errors are being raised when `shots` argument is passed arbitrarily to `@qnode` with no applicable gradient method HOT 5
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