Bump pytorch-lightning from 1.1.8 to 1.2.2

[dependabot]

Bumps pytorch-lightning from 1.1.8 to 1.2.2.

Release notes

Sourced from pytorch-lightning's releases.

Standard weekly patch release

[1.2.2] - 2021-03-02

Added

• Added checkpoint parameter to callback's on_save_checkpoint hook (#6072)

Changed

• Changed the order of backward, step, zero_grad to zero_grad, backward, step (#6147)
• Changed default for DeepSpeed CPU Offload to False, due to prohibitively slow speeds at smaller scale (#6262)

Fixed

• Fixed epoch level schedulers not being called when val_check_interval < 1.0 (#6075)
• Fixed multiple early stopping callbacks (#6197)
• Fixed incorrect usage of detach(), cpu(), to() (#6216)
• Fixed LBFGS optimizer support which didn't converge in automatic optimization (#6147)
• Prevent WandbLogger from dropping values (#5931)
• Fixed error thrown when using valid distributed mode in multi node (#6297)

Contributors

@​akihironitta, @​borisdayma, @​carmocca, @​dvolgyes, @​SeanNaren, @​SkafteNicki

If we forgot someone due to not matching commit email with GitHub account, let us know :]

Standard weekly patch release

[1.2.1] - 2021-02-23

Fixed

• Fixed incorrect yield logic for the amp autocast context manager (#6080)
• Fixed priority of plugin/accelerator when setting distributed mode (#6089)
• Fixed error message for AMP + CPU incompatibility (#6107)

Contributors

@​awaelchli, @​SeanNaren, @​carmocca

If we forgot someone due to not matching commit email with GitHub account, let us know :]

Pruning & Quantization & SWA

[1.2.0] - 2021-02-18

Added

• Added DataType, AverageMethod and MDMCAverageMethod enum in metrics (#5657)
• Added support for summarized model total params size in megabytes (#5590)
• Added support for multiple train loaders (#1959)
• Added Accuracy metric now generalizes to Top-k accuracy for (multi-dimensional) multi-class inputs using the top_k parameter (#4838)

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[1.2.2] - 2021-03-02

Added

• Added checkpoint parameter to callback's on_save_checkpoint hook (#6072)

Changed

• Changed the order of backward, step, zero_grad to zero_grad, backward, step (#6147)
• Changed default for DeepSpeed CPU Offload to False, due to prohibitively slow speeds at smaller scale (#6262)

Fixed

• Fixed epoch level schedulers not being called when val_check_interval < 1.0 (#6075)
• Fixed multiple early stopping callbacks (#6197)
• Fixed incorrect usage of detach(), cpu(), to() (#6216)
• Fixed LBFGS optimizer support which didn't converge in automatic optimization (#6147)
• Prevent WandbLogger from dropping values (#5931)
• Fixed error thrown when using valid distributed mode in multi node (#6297

[1.2.1] - 2021-02-23

Fixed

• Fixed incorrect yield logic for the amp autocast context manager (#6080)
• Fixed priority of plugin/accelerator when setting distributed mode (#6089)
• Fixed error message for AMP + CPU incompatibility (#6107)

[1.2.0] - 2021-02-18

Added

• Added DataType, AverageMethod and MDMCAverageMethod enum in metrics (#5657)
• Added support for summarized model total params size in megabytes (#5590)
• Added support for multiple train loaders (#1959)
• Added Accuracy metric now generalizes to Top-k accuracy for (multi-dimensional) multi-class inputs using the top_k parameter (#4838)
• Added Accuracy metric now enables the computation of subset accuracy for multi-label or multi-dimensional multi-class inputs with the subset_accuracy parameter (#4838)
• Added HammingDistance metric to compute the hamming distance (loss) (#4838)
• Added max_fpr parameter to auroc metric for computing partial auroc metric (#3790)
• Added StatScores metric to compute the number of true positives, false positives, true negatives and false negatives (#4839)
• Added R2Score metric (#5241)
• Added LambdaCallback (#5347)
• Added BackboneLambdaFinetuningCallback (#5377)
• Accelerator all_gather supports collection (#5221)
• Added image_gradients functional metric to compute the image gradients of a given input image. (#5056)
• Added MetricCollection (#4318)
• Added .clone() method to metrics (#4318)
• Added IoU class interface (#4704)

... (truncated)

Commits

• b3b8f95 hotfix for PT1.6 and torchtext (#6323)
• 9f3ef1b update lightning version to v1.2.2
• c5e9d67 [fix] Ensure we check deepspeed/sharded in multinode DDP (#6297)
• fc95f00 Disable CPU Offload as default for DeepSpeed (#6262)
• ad61624 Fix for incorrect usage of detach(), cpu(), to() (#6216)
• 09b287a Remove opt from manual_backward in docs (#6267)
• 3c498ce Call optimizer.zero_grad() before backward inside closure in AutoOpt (#6147)
• 5abfd2c fix(wandb): prevent WandbLogger from dropping values (#5931)
• 9329f58 Add checkpoint parameter to on_save_checkpoint (#6072)
• 4b71a83 Fix for multiple callbacks (#6197)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #14.