v1.0.0

PhysicsNeMo (Core) General Release v1.0.0

Added

• DoMINO model architecture, datapipe and training recipe
• Added matrix decomposition scheme to improve graph partitioning
• DrivAerML dataset support in FIGConvNet example.
• Retraining recipe for DoMINO from a pretrained model checkpoint
• Prototype support for domain parallelism of using ShardTensor (new).
• Enable DeviceMesh initialization via DistributedManager.
• Added Datacenter CFD use case.
• Add leave-in profiling utilities to physicsnemo, to easily enable torch/python/nsight
  profiling in all aspects of the codebase.

Changed

• Refactored StormCast training example
• Enhancements and bug fixes to DoMINO model and training example
• Enhancement to parameterize DoMINO model with inlet velocity
• Moved non-dimensionaliztion out of domino datapipe to datapipe in domino example
• Updated utils in physicsnemo.launch.logging to avoid unnecessary wandb and mlflow
  imports
• Moved to experiment-based Hydra config in Lagrangian-MGN example
• Make data caching optional in MeshDatapipe
• The use of older importlib_metadata library is removed

Deprecated

• ProcessGroupConfig is tagged for future deprecation in favor of DeviceMesh.

Fixed

• Update pytests to skip when the required dependencies are not present
• Bug in data processing script in domino training example
• Fixed NCCL_ASYNC_ERROR_HANDLING deprecation warning

Dependencies

• Remove the numpy dependency upper bound
• Moved pytz and nvtx to optional
• Update the base image for the Dockerfile
• Introduce Multi-Storage Client (MSC) as an optional dependency.
• Introduce wrapt as an optional dependency, needed when using
  ShardTensor's automatic domain parallelism