Update TorchIO version

CHANGELOG.md

@@ -14,7 +14,6 @@ created.
 
 ### Added
 
-- ([#666](https://github.com/microsoft/InnerEye-DeepLearning/pull/666)) Replace RadIO with TorchIO for patch-based inference.
 - ([#643](https://github.com/microsoft/InnerEye-DeepLearning/pull/643)) Test for recovery of SSL job. Tracks learning rate and train
 loss.
 - ([#594](https://github.com/microsoft/InnerEye-DeepLearning/pull/594)) When supplying a "--tag" argument, the AzureML jobs use that value as the display name, to more easily distinguish run.
@@ -34,7 +33,7 @@ jobs that run in AzureML.
 - ([#554](https://github.com/microsoft/InnerEye-DeepLearning/pull/554)) Added a parameter `pretraining_dataset_id` to
  `NIH_COVID_BYOL` to specify the name of the SSL training dataset.
 - ([#560](https://github.com/microsoft/InnerEye-DeepLearning/pull/560)) Added pre-commit hooks.
--([#619](https://github.com/microsoft/InnerEye-DeepLearning/pull/619)) Add DeepMIL PANDA
+- ([#619](https://github.com/microsoft/InnerEye-DeepLearning/pull/619)) Add DeepMIL PANDA
 - ([#559](https://github.com/microsoft/InnerEye-DeepLearning/pull/559)) Adding the accompanying code for the ["Active label cleaning: Improving dataset quality under resource constraints"](https://arxiv.org/abs/2109.00574) paper. The code can be found in the [InnerEye-DataQuality](InnerEye-DataQuality/README.md) subfolder. It provides tools for training noise robust models, running label cleaning simulation and loading our label cleaning benchmark datasets.
 - ([#589](https://github.com/microsoft/InnerEye-DeepLearning/pull/589)) Add `LightningContainer.update_azure_config()`
  hook to enable overriding `AzureConfig` parameters from a container (e.g. `experiment_name`, `cluster`, `num_nodes`).
@@ -53,6 +52,9 @@ jobs that run in AzureML.
 - ([#656](https://github.com/microsoft/InnerEye-DeepLearning/pull/656)) Add subsampling transform and support for MIL mean pooling.
 
 ### Changed
+
+- ([#677](https://github.com/microsoft/InnerEye-DeepLearning/pull/677)) Update TorchIO version to include the recent bug fix related to patch-based inference.
+- ([#666](https://github.com/microsoft/InnerEye-DeepLearning/pull/666)) Replace RadIO with TorchIO for patch-based inference.
 - ([#659](https://github.com/microsoft/InnerEye-DeepLearning/pull/659)) Update cudatoolkit version from 11.1 to 11.3.
 - ([#588](https://github.com/microsoft/InnerEye-DeepLearning/pull/588)) Replace SciPy with PIL.PngImagePlugin.PngImageFile to load png files.
 - ([#585](https://github.com/microsoft/InnerEye-DeepLearning/pull/585)) Switching to PyTorch 1.10.0 and torchvision 0.11.1
@@ -90,6 +92,7 @@ gets uploaded to AzureML, by skipping all test folders.
 - ([#632](https://github.com/microsoft/InnerEye-DeepLearning/pull/632)) Nifti test data is no longer stored in Git LFS
 
 ### Fixed
+
 - ([#659](https://github.com/microsoft/InnerEye-DeepLearning/pull/659)) Fix caching and checkpointing for TCGA CRCk dataset.
 - ([#649](https://github.com/microsoft/InnerEye-DeepLearning/pull/649)) Fix for the _convert_to_tensor_if_necessary method so that PIL.Image as well as np.array get converted to torch.Tensor.
 - ([#606](https://github.com/microsoft/InnerEye-DeepLearning/pull/606)) Bug fix: registered models do not include the hi-ml submodule

environment.yml

@@ -69,7 +69,7 @@ dependencies:
  - tabulate==0.8.7
  - tensorboard==2.3.0
  - tensorboardX==2.1
- - torchio==0.18.73
+ - torchio==0.18.74
  - torchmetrics==0.6.0
  - umap-learn==0.5.2
  - yacs==0.1.8