1600ef3ddf
While we updated DeepMIL for the Panda dataset to work with the latest changes, we did not update DeepMIL for the TCGA CRCK dataset. This PR updates how the caching of the encoded tiles is done and how the checkpoints of the DeepMIL model is saved and loaded. No additional tests are required since these are the same functions that we use for the Panda dataset. For all of them a test already exists. Last, the PR updates the cudatoolkit version, Anton and I found that this is the root cause for all our problems with ddp |
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| .. | ||
| azure_deployment_template.json | ||
| azureml-conda-environment.yml | ||
| build-pr.yml | ||
| build.yaml | ||
| build_data_quality.yaml | ||
| build_windows.yaml | ||
| cancel_aml_jobs.py | ||
| cancel_aml_jobs.yml | ||
| checkout.yml | ||
| checkout_windows.yml | ||
| inner_eye_env.yml | ||
| prepare_conda.yml | ||
| store_settings.yml | ||
| tests_after_training.yml | ||
| train.yaml | ||
| train_template.yml | ||
| train_via_submodule.yml | ||