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@Linux-cpp-lisp Linux-cpp-lisp released this 10 May 22:18
3db6964

Please note that this release includes a number of breaking changes from 0.5.6. It also corresponds to the develop branch discussed in a number of recent Issues and Discussions.

[0.6.0] - 2024-5-10

Added

  • add Tensorboard as logger option
  • [Breaking] Refactor overall model logic into GraphModel top-level module
  • [Breaking] Added model_dtype
  • BATCH_PTR_KEY in AtomicDataDict
  • AtomicInMemoryDataset.rdf() and examples/rdf.py
  • type_to_chemical_symbol
  • Pair potential terms
  • nequip-evaluate --output-fields-from-original-dataset
  • Error (or warn) on unused options in YAML that likely indicate typos
  • dataset_*_absmax statistics option
  • HDF5Dataset (#227)
  • include_file_as_baseline_config for simple modifications of existing configs
  • nequip-deploy --using-dataset to support data-dependent deployment steps
  • Support for Gaussian Mixture Model uncertainty quantification (https://doi.org/10.1063/5.0136574)
  • start_of_epoch_callbacks
  • nequip.train.callbacks.loss_schedule.SimpleLossSchedule for changing the loss coefficients at specified epochs
  • nequip-deploy build --checkpoint and --override to avoid many largely duplicated YAML files
  • matscipy neighborlist support enabled with NEQUIP_MATSCIPY_NL environment variable

Changed

  • Always require explicit seed
  • [Breaking] Set dataset_seed to seed if it is not explicitly provided
  • Don't log as often by default
  • [Breaking] Default nonlinearities are silu (e) and tanh (o)
  • Will not reproduce previous versions' data shuffling order (for all practical purposes this does not matter, the shuffle option is unchanged)
  • [Breaking] default_dtype defaults to float64 (model_dtype default float32, allow_tf32: true by default--- see https://arxiv.org/abs/2304.10061)
  • nequip-benchmark now only uses --n-data frames to build the model
  • [Breaking] By default models now use StressForceOutput, not ForceOutput
  • Added edge_energy to ALL_ENERGY_KEYS subjecting it to global rescale

Fixed

  • Work with wandb>=0.13.8
  • Better error for standard deviation with too few data
  • load_model_state GPU -> CPU
  • No negative volumes in rare cases

Removed

  • [Breaking] fixed_fields machinery (npz_fixed_field_keys is still supported, but through a more straightforward implementation)
  • Default run name/WandB project name of NequIP, they must now always be provided explicitly
  • [Breaking] Removed _params as an allowable subconfiguration suffix (i.e. instead of optimizer_params now only optimizer_kwargs is valid, not both)
  • [Breaking] Removed per_species_rescale_arguments_in_dataset_units