Remove exception fall back on checkpoint loading #9660
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/9660
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit aea9736 with merge base 07266f9 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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| # Also, the checkpoint is loaded and dtype promoted to the transformer's dtype, which is | ||
| # by default initialized to fp32. This is fine because every other supported type | ||
| # losslessly converts to fp32, so we don't lose precision here. | ||
| if checkpoint: |
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yea i like this. If the user gives a checkpoint that doesn't work, we should fail, and not hide it under the rug and give them uninitialized model
mcr229
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### Summary Remove the crutch of initializing with 0 weights when the checkpoint loading goes wrong (e.g. in most cases when the checkpoint keys don't match the parameters of the model). ### Test plan See if CI passes
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Summary
Remove the crutch of initializing with 0 weights when the checkpoint loading goes wrong (e.g. in most cases when the checkpoint keys don't match the parameters of the model).
Test plan
See if CI passes