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feat(pt/dpmodel): add sequential_update for dpa3 #5355

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feat(pt/dpmodel): add sequential_update for dpa3 #5355

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feat(pt/dpmodel): add sequential_update for dpa3
iProzd Mar 30, 2026
8523d88
fix comments
iProzd May 8, 2026
2bfdead
Merge branch 'master' into 0328_seq_update
iProzd May 8, 2026
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Update test_dpa3.py
iProzd May 8, 2026
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Update test_dpa3.py
iProzd May 8, 2026
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iProzd May 9, 2026
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19 changes: 19 additions & 0 deletions deepmd/dpmodel/descriptor/dpa3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -170,6 +170,13 @@ class RepFlowArgs:
In the dynamic selection case, neighbor-scale normalization will use `e_sel / sel_reduce_factor`
or `a_sel / sel_reduce_factor` instead of the raw `e_sel` or `a_sel` values,
accommodating larger selection numbers.
sequential_update : bool, optional
Whether to use sequential update mode within each repflow layer.
When True, updates are applied sequentially: edge self → angle self (using updated edge)
→ edge angle (using updated angle) → node (using final edge),
instead of the default parallel mode where all updates use original embeddings.
Currently only supports ``update_style='res_residual'`` and requires ``update_angle=True``;
otherwise, a ``ValueError`` will be raised during initialization.
"""

def __init__(
Expand Down Expand Up @@ -201,6 +208,7 @@ def __init__(
use_exp_switch: bool = False,
use_dynamic_sel: bool = False,
sel_reduce_factor: float = 10.0,
sequential_update: bool = False,
) -> None:
self.n_dim = n_dim
self.e_dim = e_dim
Expand Down Expand Up @@ -231,6 +239,15 @@ def __init__(
self.use_exp_switch = use_exp_switch
self.use_dynamic_sel = use_dynamic_sel
self.sel_reduce_factor = sel_reduce_factor
self.sequential_update = sequential_update
if self.sequential_update:
if self.update_style != "res_residual":
raise ValueError(
"sequential_update only supports update_style='res_residual', "
f"got '{self.update_style}'!"
)
if not self.update_angle:
raise ValueError("sequential_update requires update_angle=True!")

def __getitem__(self, key: str) -> Any:
if hasattr(self, key):
Expand Down Expand Up @@ -266,6 +283,7 @@ def serialize(self) -> dict:
"use_exp_switch": self.use_exp_switch,
"use_dynamic_sel": self.use_dynamic_sel,
"sel_reduce_factor": self.sel_reduce_factor,
"sequential_update": self.sequential_update,
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@coderabbitai coderabbitai Bot Mar 30, 2026

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⚠️ Potential issue | 🟠 Major

Bump the DPA3 serialization version for the new repflow_args field.

Line 285 adds a new key to the persisted repflow_args payload, but DescrptDPA3.serialize() still advertises @version: 2. A pre-change v2 reader will accept the file and then die on RepFlowArgs(**data) with an unexpected sequential_update kwarg instead of rejecting the newer format cleanly.

Suggested fix 
-            "@version": 2,
+            "@version": 3,
-        check_version_compatibility(version, 2, 1)
+        check_version_compatibility(version, 3, 1)
🤖 Prompt for AI Agents 
Verify each finding against the current code and only fix it if needed.

In `@deepmd/dpmodel/descriptor/dpa3.py` at line 285, The serialized payload for
repflow_args now includes a new key "sequential_update" but
DescrptDPA3.serialize() still emits "@version: 2", causing old readers to
attempt RepFlowArgs(**data) and crash; update DescrptDPA3.serialize() to bump
the serialization version (e.g., to 3) so that readers can detect the new
format, and ensure the version constant/metadata that serialize() returns is
updated accordingly (refer to DescrptDPA3.serialize and the repflow_args payload
construction to locate the change).

}

@classmethod
Expand Down Expand Up @@ -404,6 +422,7 @@ def init_subclass_params(sub_data: dict | Any, sub_class: type) -> Any:
use_exp_switch=self.repflow_args.use_exp_switch,
use_dynamic_sel=self.repflow_args.use_dynamic_sel,
sel_reduce_factor=self.repflow_args.sel_reduce_factor,
sequential_update=self.repflow_args.sequential_update,
use_loc_mapping=use_loc_mapping,
exclude_types=exclude_types,
env_protection=env_protection,
Expand Down
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