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chore(pd): sync get_lr from pt to pd #5144

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Merged
iProzd merged 2 commits into from
Jan 12, 2026
Merged

chore(pd): sync get_lr from pt to pd #5144

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chore(pd): sync get_lr from pt to pd
njzjz Jan 10, 2026
bf21f31
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jan 10, 2026
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15 changes: 6 additions & 9 deletions deepmd/pd/train/training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,9 @@
from deepmd.common import (
symlink_prefix_files,
)
from deepmd.dpmodel.utils.learning_rate import (
BaseLR,
)
from deepmd.loggers.training import (
format_training_message,
format_training_message_per_task,
Expand Down Expand Up @@ -62,9 +65,6 @@
SAMPLER_RECORD,
enable_prim,
)
from deepmd.pd.utils.learning_rate import (
LearningRateExp,
)
from deepmd.pd.utils.stat import (
make_stat_input,
)
Expand Down Expand Up @@ -238,13 +238,10 @@ def get_sample():
_stat_file_path.root.close()
return get_sample

def get_lr(lr_params):
assert lr_params.get("type", "exp") == "exp", (
"Only learning rate `exp` is supported!"
)
def get_lr(lr_params: dict[str, Any]) -> BaseLR:
lr_params["stop_steps"] = self.num_steps - self.warmup_steps
lr_exp = LearningRateExp(**lr_params)
return lr_exp
lr_schedule = BaseLR(**lr_params)
return lr_schedule

# Optimizer
if self.multi_task and training_params.get("optim_dict", None) is not None:
Expand Down