Avoid unnecessary tensor construction when creating input masks for permutation/ablation #1527
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This pull request was exported from Phabricator. Differential Revision: D71057703 |
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…ermutation/ablation (meta-pytorch#1527) Summary: Study: https://docs.google.com/spreadsheets/d/1GyNJJBrNkazGOyJQLv00QV4phX2R3488oNgVPT17qzU/edit?gid=0#gid=0 Saw a regression in the new logic introduced in D69531512 with one of the models for both permutation and ablation methods, potentially due to large sparse features. vivekmig suggested we can avoid creating all these zero tensors Differential Revision: D71057703
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…ermutation/ablation (meta-pytorch#1527) Summary: Pull Request resolved: meta-pytorch#1527 Study: https://docs.google.com/spreadsheets/d/1GyNJJBrNkazGOyJQLv00QV4phX2R3488oNgVPT17qzU/edit?gid=0#gid=0 Saw a regression in the new logic introduced in D69531512 with one of the models for both permutation and ablation methods, potentially due to large sparse features. vivekmig suggested we can avoid creating all these zero tensors Differential Revision: D71057703
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…ermutation/ablation (meta-pytorch#1527) Summary: Study: https://docs.google.com/spreadsheets/d/1GyNJJBrNkazGOyJQLv00QV4phX2R3488oNgVPT17qzU/edit?gid=0#gid=0 Saw a regression in the new logic introduced in D69531512 with one of the models for both permutation and ablation methods, potentially due to large sparse features. vivekmig suggested we can avoid creating all these zero tensors Reviewed By: craymichael Differential Revision: D71057703
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…ermutation/ablation (meta-pytorch#1527) Summary: Pull Request resolved: meta-pytorch#1527 Study: https://docs.google.com/spreadsheets/d/1GyNJJBrNkazGOyJQLv00QV4phX2R3488oNgVPT17qzU/edit?gid=0#gid=0 Saw a regression in the new logic introduced in D69531512 with one of the models for both permutation and ablation methods, potentially due to large sparse features. vivekmig suggested we can avoid creating all these zero tensors Reviewed By: craymichael Differential Revision: D71057703
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Summary:
Study: https://docs.google.com/spreadsheets/d/1GyNJJBrNkazGOyJQLv00QV4phX2R3488oNgVPT17qzU/edit?gid=0#gid=0
Saw a regression in the new logic introduced in D69531512 with one of the models for both permutation and ablation methods, potentially due to large sparse features. vivekmig suggested we can avoid creating all these zero tensors
Differential Revision: D71057703