-
Notifications
You must be signed in to change notification settings - Fork 143
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
0.6.0 #429
Merged
Merged
0.6.0 #429
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
--------- Co-authored-by: Linux-cpp-lisp <[email protected]>
keceli
added a commit
to keceli/allegro
that referenced
this pull request
Jun 6, 2024
KeyError: 'The following keys in the config file were not used, did you make a typo?: optimizer_params Support dropped for _params as of 0.6 mir-group/nequip#429
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
[0.6.0] - 2024-5-10
Added
GraphModel
top-level modulemodel_dtype
BATCH_PTR_KEY
inAtomicDataDict
AtomicInMemoryDataset.rdf()
andexamples/rdf.py
type_to_chemical_symbol
nequip-evaluate --output-fields-from-original-dataset
dataset_*_absmax
statistics optionHDF5Dataset
(Created HDF5 based dataset #227)include_file_as_baseline_config
for simple modifications of existing configsnequip-deploy --using-dataset
to support data-dependent deployment stepsstart_of_epoch_callbacks
nequip.train.callbacks.loss_schedule.SimpleLossSchedule
for changing the loss coefficients at specified epochsnequip-deploy build --checkpoint
and--override
to avoid many largely duplicated YAML filesNEQUIP_MATSCIPY_NL
environment variableChanged
seed
dataset_seed
toseed
if it is not explicitly providedsilu
(e
) andtanh
(o
)shuffle
option is unchanged)default_dtype
defaults tofloat64
(model_dtype
defaultfloat32
,allow_tf32: true
by default--- see https://arxiv.org/abs/2304.10061)nequip-benchmark
now only uses--n-data
frames to build the modelStressForceOutput
, notForceOutput
edge_energy
toALL_ENERGY_KEYS
subjecting it to global rescaleFixed
wandb>=0.13.8
load_model_state
GPU -> CPURemoved
fixed_fields
machinery (npz_fixed_field_keys
is still supported, but through a more straightforward implementation)NequIP
, they must now always be provided explicitly_params
as an allowable subconfiguration suffix (i.e. instead ofoptimizer_params
now onlyoptimizer_kwargs
is valid, not both)per_species_rescale_arguments_in_dataset_units