-
Notifications
You must be signed in to change notification settings - Fork 175
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
Merge devel to master #795
Merged
Merged
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
Merge master into devel
* add amber model_devi_engine and amber/corr fp_style (and make the code more like a 💩 hill) * fix show error * use new dpdispatcher * update new dpdispatcher * update for new dpdispatcher * support dpdispatcher * fix bug when using new dpdispatcher * update for new dpdispatcher init_bulk * update examples for new dpdispatcher * fix install * fix typo use LooseVersion Co-authored-by: Jinzhe Zeng <[email protected]> * update LooseVersion * update dependency dpdispatcher min version * kk * support hybrid descriptor (fix deepmodeling#458) (deepmodeling#459) * support multiple param7 files * hdf5 & other improvements * disable sort * kk * migrate parameters into parm file * fix the issue to detect the list in the yaml * append ref to sander command * bugfix * skip the first "active learning" line * bugfix * separate low level and high level mdin * add quote to dpamber command * Revert "skip the first "active learning" line" This reverts commit 3ac4026. * only skip first active line if not restarting * generate sub models * fix the bug of sys_counter * set the seed of type_embedding network * sync with devel * sync with devel * make symlink symlink * fix * fix merge issue * rewrite simplify; support hdf5 as initial training data * bugfix * fix typo * revert changes to simplify; going to submit in another PR * revert training * revert changes * fix bug * add comments * add comments * add tests * fix typo * add an example * add netCDF4 to require * raise RuntimeError when model_devi_engine is unknown Co-authored-by: Yuan Fengbo <[email protected]> Co-authored-by: felix5572 <[email protected]> Co-authored-by: Yuan Fengbo (袁奉博) <[email protected]>
* Create Performing the Run process.md Description of the output files in DP-GEN run process. * Create Specify the Run process.md Description of an example of param.json. * Update and rename Specify the Run process.md to example-of-param.md * Update and rename Performing the Run process.md to Overview-of-the-run-process.md * Update and rename Overview-of-the-run-process.md to overview-of-the-run-process.md Specify the format of the code * Update example-of-param.md Specify the format of code * Update example-of-param.md * Update example-of-param.md * Create example-of-machine * Rename example-of-machine to example-of-machine.md * add param.rst param.rst generated by dargs * Update param.rst * updata dpgen run param parameters * Update param.rst * Update param.rst * Update example-of-param.md * Update overview-of-the-run-process.md * Update example-of-machine.md * Update example-of-machine.md * Update overview-of-the-run-process.md * Create run-process.rst * Update index.rst * Update param.rst * Update param.rst * Update index.rst
* refactor simplify 1. Used `dp model-devi` to calculate model deviation, instead of local calculation. Supported by deepmodeling/deepmd-kit#1618, released in v2.1.1. So the version earlier than 2.1.1 is not supported any more. 2. Assumed all systems are MultiSystems. 3. Removed energy model deviation support * expand path when getting multisystems * let `make_train` and `run_train` expand paths * load numpy array instead * use dpdata to get nframes * fix tests * update README
* supports non-list mdata The mdata of a task is a list of a single dict. This "list" looks useless and not clear enough. So this commit supports using the dict without a list. Note that old parameters are still supported, so no breaking changes are made. The "list" is just removed from all examples. Both list and non-list parameters are in the unittest. * fix typo
* upgrade all tasks to dpdispatcher This commit upgrades init_reaction and init_surf to use dpdispatcher * fix method args * fix typo * change the variable name from `work_dir` to `work_path`
…/EOS.py (deepmodeling#741) * update: add a new option of absolute volume in ./dpgen/auto_test/EOS.py * update: add doc in /dpgen/doc/toymodels/ * update: change the description for eos, change the doc in /dpgen/doc/toymodels/ * update: change the notice of absolute volume from print into dlog.info
Co-authored-by: LiuRenxi <[email protected]>
* generate machine parameter page for simplify and init * switching to new dargs directive
* add auto cli docs * fix typo * fix package name... * forgot to return parser * add the blank line
* fix ‘post_fp_cp2k’, add param rfailed * Update run.py
* add init-reaction docs and args The commit includes: - add docs - add detailed arguments - add strict argument checking - strict check the init-reaction example * init-reaction -> init_reaction * fix links * add the example to doc * add Geom=PrintInputOrient to keywords
* generate run arg doc from scripts This commit generates run argument documentations from scripts at runtime, so we can work on the script to improve the docs. * remove `init_multi_systems` see deepmodeling#730 * set repeat=True for model_devi_jobs * switch to dargs directive * switch for mdata * add extension * the current model_devi_args is indeed lammps arguments * fix error * fix error
* Update simplify.py * Update simplify.py Co-authored-by: Han Wang <[email protected]>
* Update simplify.py for sys_entire, set labeled=False * get labeled from jdata * Update simplify.py
The way to organize fp style argument is incorrect before.
* add simplify jdata docs; fix and check example Fix deepmodeling#779. * `use_ele_temp` should be optional * `sys_format` should be optional * `sys_configs` should be list * `labeled` should be optional * `use_clusters` and `cluster_cutoff` are optional * fix keyword option * add to toc
…vi_job (deepmodeling#786) * adapt different trust level for different sys_configs * fix deepmodeling#746; add iter dependent trust level * add document for deepmodeling#786 * some fix accroding to review * fix unexpected 0 bug * fix document not supporting typing bug * change value for trust level in unittest
* Change mv to cp when downloading softlinks. * Add explanations relevant to POTCAR's examples. * Fix CH4's vasp-md INCAR example. * Fix bug in make_submission of Auto-test * Add ase, custodian, GromacsWrapper in conda packages. * Fix bug of fp_task_min * Add gromacswrapper to conda recipe * Revert "Fix bug of fp_task_min" This reverts commit 8d7f8a7. * Add numkit recipe * Add `convert_mdata` definition to fix simplify bug. * Add netCDF4's dependency to conda recipe * Delete gromacswrapper and numkit dependency
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.
No description provided.