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HI-ML toolbox for deep learning for medical imaging and Azure integration

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In this PR: - `transformer_dropout` parameter is added to TransformerPooling` and `TransformerPoolingBenchmark` pooling layers. - Tests are updated with the `transformer_dropout` parameter.

Changes in the way that Azure ML set the environment variable `ENV_AZ_BATCHAI_MPI_MASTER_NODE` mean that the logic for setting environment variables for multi-node jobs needs updating

Bumps [numpy](https://github.com/numpy/numpy) from 1.21.6 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies
python

Bumps [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) from 1.5.0 to 1.5.1. Release notes Sourced from pypa/gh-action-pypi-publish's releases. v1.5.1 What's Changed Fixed printing out the dist hashes when packages_dir is a wildcard value. — by @​meowmeowmeowcat...

dependencies
github_actions

In this PR we enable heatmap outputs when tiling on the fly. Specifically: * we changed the MONAI transform used for tiling to be GridPatch. The main advantage is that...

Models that use pre-trained SSL currently rely on hardocded path in `run_ids.py`, but these runs are only available in one Workspace. The user should be able to provide their own...

hi-ml-histopathology

In PL 1.5, supplying the checkpoint path to the trainer has been deprecated. Instead, it should be supplied as an argument to `trainer.fit`.

good first issue
hi-ml

Re-activate #523 . Troublemaker: Checkpoints from existing SSL runs will not be able to load in the new codebase. We need to decide how to handle legacy runs

hi-ml-histopathology