[3/n] loading meta to device #100495
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[3/n] loading meta to device #100495
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/100495
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit c968898: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This pull request was exported from Phabricator. Differential Revision: D45099145 |
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This pull request was exported from Phabricator. Differential Revision: D45099145 |
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Summary: Pull Request resolved: pytorch#100495 Make it possible to `torch.jit.load(model, device)` to a device when `model` contains weights that are on device `meta`. Just leave the `meta` weights on `meta`, and load the weights that can be loaded to the target device. Reviewed By: houseroad Differential Revision: D45099145 fbshipit-source-id: 4cf3cc9d46409c48ade737937fded1491f8361d2
Summary: Pull Request resolved: pytorch#100495 Make it possible to `torch.jit.load(model, device)` to a device when `model` contains weights that are on device `meta`. Just leave the `meta` weights on `meta`, and load the weights that can be loaded to the target device. Reviewed By: houseroad Differential Revision: D45099145 fbshipit-source-id: a7e477e0632c55bfa4827a2183164f07ab1ee7da
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This pull request was exported from Phabricator. Differential Revision: D45099145 |
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@pytorchbot merge (Initiating merge automatically since Phabricator Diff has merged) |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Summary: Make it possible to
torch.jit.load(model, device)to a device whenmodelcontains weights that are on devicemeta. Just leave themetaweights onmeta, and load the weights that can be loaded to the target device.Reviewed By: singlaiiit, RoshanPAN, sayitmemory
Differential Revision: D45099145