deepmodeling / dpgen2

2nd generation of the Deep Potential GENerator
https://docs.deepmodeling.com/projects/dpgen2/
GNU Lesser General Public License v3.0
33 stars 26 forks source link

Support valid data for multitask training #257

Closed zjgemi closed 2 months ago

zjgemi commented 3 months ago

Summary by CodeRabbit

coderabbitai[bot] commented 3 months ago
Walkthrough ## Walkthrough The changes introduce new arguments and modify existing functions to enhance support for multitask validation data. The `input_args` function accommodates multitask configurations, while the `workflow_concurrent_learning` function has been adjusted to process validation data more flexibly. Additionally, enhancements have been made to model freezing logic in the `run_relax.py` file, and new configuration parameters have been integrated into relevant functions. ## Changes | File | Change Summary | |-------------------------------------------|------------------------------------------------------------------------------------------------------------| | `dpgen2/entrypoint/args.py` | Added `multi_valid_data` and `multi_valid_data_uri` arguments to `input_args` for multitask validation. | | `dpgen2/entrypoint/submit.py` | Modified `workflow_concurrent_learning` to handle multitask validation data with new conditional checks. | | `dpgen2/op/run_dp_train.py` | Changed `valid_data` type in `get_input_sign` to `NestedDict` and modified `write_data_to_input_script` to accept both lists and dictionaries. | | `dpgen2/op/run_relax.py` | Enhanced `execute` function to handle model freezing based on new `expl_config` parameter. | | `dpgen2/op/run_lmp.py` | Refactored model freezing logic into a new `freeze_model` function and renamed argument in `lmp_args`. | | `dpgen2/superop/prep_run_diffcsp.py` | Added `expl_config` parameter to `_prep_run_diffcsp` function for enhanced configurability. | | `tests/op/test_run_relax.py` | Added `expl_config` key with an empty dictionary in `testRunRelax` method for configuration options. |

[!TIP] We have updated our review workflow to use the Anthropic's Claude family of models. Please share any feedback in the discussion post on our Discord.


Recent review details **Configuration used: CodeRabbit UI** **Review profile: CHILL**
Commits Files that changed from the base of the PR and between ea87d06feeb670d63402cefa59016b4e5cfcd934 and 16c30d6a262131a91d2289252b23558fc46f02f0.
Files selected for processing (1) * dpgen2/op/run_relax.py (6 hunks)
Additional context used
Ruff
dpgen2/op/run_relax.py
1-1: `logging` imported but unused Remove unused import: `logging` (F401) --- 212-212: Do not use mutable data structures for argument defaults Replace with `None`; initialize within function (B006)
Additional comments not posted (1)
dpgen2/op/run_relax.py (1)
`42-42`: **Approve the addition of the `expl_config` parameter.** The addition of the `expl_config` parameter to the `get_input_sign` method is consistent with the PR objectives and is used in the `execute` function.
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codecov[bot] commented 3 months ago

Codecov Report

Attention: Patch coverage is 43.75000% with 36 lines in your changes missing coverage. Please review.

Project coverage is 83.75%. Comparing base (643e889) to head (16c30d6). Report is 1 commits behind head on master.

Files with missing lines Patch % Lines
dpgen2/entrypoint/submit.py 23.80% 16 Missing :warning:
dpgen2/op/run_lmp.py 10.00% 9 Missing :warning:
dpgen2/op/run_relax.py 75.00% 6 Missing :warning:
dpgen2/op/run_dp_train.py 28.57% 5 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #257 +/- ## ========================================== - Coverage 84.00% 83.75% -0.26% ========================================== Files 103 103 Lines 5759 5805 +46 ========================================== + Hits 4838 4862 +24 - Misses 921 943 +22 ```

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