Changed serialization mechanism of LambdaLR scheduler#9927
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0phoff wants to merge 2 commits intopytorch:masterfrom
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Changed serialization mechanism of LambdaLR scheduler#99270phoff wants to merge 2 commits intopytorch:masterfrom
0phoff wants to merge 2 commits intopytorch:masterfrom
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Adding a test would be great! |
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this looks good. add a smoke test and this is good to go. |
The lr_lambda functions are only saved if the are callable objects (which can be stateful). There is no point in saving functions/lambdas as you need their definition before unpickling.
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Summary: I opened an issue explaining some of my frustrations with the current state of schedulers. While most points that I raised in [that issue](pytorch#8741 (comment)) need to be discussed more thoroughly before being implemented, there are some that are not so difficult to fix. This PR changes the way the LambdaLR scheduler gets serialized: > The lr_lambda functions are only saved if the are callable objects (which can be stateful). > There is no point in saving functions/lambdas as you need their definition before unpickling and they are stateless. This has the big advantage that the scheduler is serializable, even if you use lambda functions or locally defined functions (aka a function in a function). Does this functionality need any unit tests? Pull Request resolved: pytorch#9927 Differential Revision: D9055505 Pulled By: soumith fbshipit-source-id: 6c1cec588beedd098ec7d2bce6a9add27f29e48f
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I opened an issue explaining some of my frustrations with the current state of schedulers.
While most points that I raised in that issue need to be discussed more thoroughly before being implemented, there are some that are not so difficult to fix.
This PR changes the way the LambdaLR scheduler gets serialized:
This has the big advantage that the scheduler is serializable, even if you use lambda functions or locally defined functions (aka a function in a function).
Does this functionality need any unit tests?