pytorch-lightning 1.5.2 on Python PyPI

[1.5.2] - 2021-11-16

Fixed CombinedLoader and max_size_cycle didn't receive a DistributedSampler (#10374)
Fixed an issue where class or init-only variables of dataclasses were passed to the dataclass constructor in utilities.apply_to_collection (#9702)
Fixed isinstance not working with init_meta_context, materialized model not being moved to the device (#10493)
Fixed an issue that prevented the Trainer to shutdown workers when execution is interrupted due to failure(#10463)
Squeeze the early stopping monitor to remove empty tensor dimensions (#10461)
Fixed sampler replacement logic with overfit_batches to only replace the sample when SequentialSampler is not used (#10486)
Fixed scripting causing false positive deprecation warnings (#10470, #10555)
Do not fail if batch size could not be inferred for logging when using DeepSpeed (#10438)
Fixed propagation of device and dtype information to submodules of LightningLite when they inherit from DeviceDtypeModuleMixin (#10559)

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