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Default benchmark based on deterministic flag
#11944
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Default benchmark based on deterministic flag
#11944
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…rshrimali/pytorch-lightning into feature/9128_benchmark_trainer_default
carmocca
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LGTM!
I pushed one commit with docs changes after searching for how to properly reference another parameter. Also added one reference to PyTorch's docs about randomness.
Co-authored-by: Carlos Mocholí <[email protected]>
kaushikb11
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LGTM!
…rshrimali/pytorch-lightning into feature/9128_benchmark_trainer_default
Co-authored-by: Adrian Wälchli <[email protected]>
awaelchli
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GTLM
rohitgr7
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LGTM
small comments.
Co-authored-by: Rohit Gupta <[email protected]>
Co-authored-by: Carlos Mocholí <[email protected]>
Co-authored-by: Carlos Mocholí <[email protected]>
…hmark_trainer_default
What does this PR do?
benchmarkflag ofTrainerclassOptional, and defaults to the value based ondeterministicflag. Also allows manually overwriting the flag.Fixes #9128.
Does your PR introduce any breaking changes? If yes, please list them.
No!
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Thanks to @carmocca for helping me with this PR. 🎉