1.0.1

Fixes

• DiceCELoss for multichannel targets
• Auto3DSeg DataAnalyzer out-of-memory error and other minor issues
• An optional flag issue in the RetinaNet detector
• An issue with output offset for Spacing
• A LoadImage issue when track_meta is False
• 1D data output error in VarAutoEncoder
• An issue with resolution computing in ImageStats

Added

• Flexible min/max pixdim options for Spacing
• Upsample mode deconvgroup and optional kernel sizes
• Docstrings for gradient-based saliency maps
• Occlusion sensitivity to use sliding window inference
• Enhanced Gaussian window and device assignments for sliding window inference
• Multi-GPU support for MonaiAlgo
• ClientAlgoStats and MonaiAlgoStats for federated summary statistics
• MetaTensor support for OneOf
• Add a file check for bundle logging config
• Additional content and an authentication token option for bundle info API
• An anti-aliasing option for Resized
• SlidingWindowInferer adaptive device based on cpu_thresh
• SegResNetDS with deep supervision and non-isotropic kernel support
• Premerge tests for Python 3.10

Changed

• Base Docker image upgraded to nvcr.io/nvidia/pytorch:22.09-py3 from nvcr.io/nvidia/pytorch:22.08-py3
• Replace None type metadata content with "none" for collate_fn compatibility
• HoVerNet Mode and Branch to independent StrEnum
• Automatically infer device from the first item in random elastic deformation dict
• Add channel dim in ComputeHoVerMaps and ComputeHoVerMapsd
• Remove batch dim in SobelGradients and SobelGradientsd

Deprecated

• Deprecating compute_meandice, compute_meaniou in monai.metrics, in favor of
  compute_dice and compute_iou respectively