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AnalyticExpectedUtilityOfBestOption input constructor uses pref_model.dim #1955
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This pull request was exported from Phabricator. Differential Revision: D47826495 |
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….dim (pytorch#1955) Summary: Pull Request resolved: pytorch#1955 Make AnalyticExpectedUtilityOfBestOption input constructor uses `pref_model.dim` instead of `model.num_outputs` as the latter may also depend on the number of tasks for MTGPs. And example is a model list of MTGPs will have `model.num_outputs = num_tasks * num_outcomes` while we only want `num_outcomes` here. Differential Revision: D47826495 fbshipit-source-id: b3e1082d09c14f01484f2b034356a5b5e8ccb140
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This pull request was exported from Phabricator. Differential Revision: D47826495 |
….dim (pytorch#1955) Summary: Pull Request resolved: pytorch#1955 Make AnalyticExpectedUtilityOfBestOption input constructor uses `pref_model.dim` instead of `model.num_outputs` as the latter may also depend on the number of tasks for MTGPs. And example is a model list of MTGPs will have `model.num_outputs = num_tasks * num_outcomes` while we only want `num_outcomes` here. Differential Revision: D47826495 fbshipit-source-id: 02160b20ea3b7777912662015b643918b2778a60
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This pull request was exported from Phabricator. Differential Revision: D47826495 |
….dim (pytorch#1955) Summary: Pull Request resolved: pytorch#1955 Make AnalyticExpectedUtilityOfBestOption input constructor uses `pref_model.dim` instead of `model.num_outputs` as the latter may also depend on the number of tasks for MTGPs. And example is a model list of MTGPs will have `model.num_outputs = num_tasks * num_outcomes` while we only want `num_outcomes` here. Differential Revision: D47826495 fbshipit-source-id: 11b64b1973e76aa32107ff1b5bacfc0891d575e4
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This pull request was exported from Phabricator. Differential Revision: D47826495 |
This pull request has been merged in 2e92571. |
Summary: Make AnalyticExpectedUtilityOfBestOption input constructor uses
pref_model.dim
instead ofmodel.num_outputs
as the latter may also depend on the number of tasks for MTGPs. And example is a model list of MTGPs will havemodel.num_outputs = num_tasks * num_outcomes
while we only wantnum_outcomes
here.Differential Revision: D47826495