rename

deepmd/dpmodel/descriptor/dpa3.py

@@ -19,7 +19,7 @@ def __init__(
         update_style: str = "res_residual",
         update_residual: float = 0.1,
         update_residual_init: str = "const",
-        skip_static: bool = False,
+        skip_stat: bool = False,
     ) -> None:
         r"""The constructor for the RepFlowArgs class which defines the parameters of the repflow block in DPA3 descriptor.
 
@@ -77,7 +77,7 @@ def __init__(
         self.update_style = update_style
         self.update_residual = update_residual
         self.update_residual_init = update_residual_init
-        self.skip_static = skip_static
+        self.skip_stat = skip_stat
 
     def __getitem__(self, key):
         if hasattr(self, key):

deepmd/pt/model/descriptor/dpa3.py

@@ -157,7 +157,7 @@ def init_subclass_params(sub_data, sub_class):
             update_style=self.repflow_args.update_style,
             update_residual=self.repflow_args.update_residual,
             update_residual_init=self.repflow_args.update_residual_init,
-            skip_static=self.repflow_args.skip_static,
+            skip_stat=self.repflow_args.skip_stat,
             exclude_types=exclude_types,
             env_protection=env_protection,
             precision=precision,

deepmd/pt/model/descriptor/repflows.py

@@ -95,7 +95,7 @@ def __init__(
         exclude_types: list[tuple[int, int]] = [],
         env_protection: float = 0.0,
         precision: str = "float64",
-        skip_static: bool = True,
+        skip_stat: bool = True,
         seed: Optional[Union[int, list[int]]] = None,
     ) -> None:
         r"""
@@ -177,7 +177,7 @@ def __init__(
         self.split_sel = self.sel
         self.axis_neuron = axis_neuron
         self.set_davg_zero = set_davg_zero
-        self.skip_static = skip_static
+        self.skip_stat = skip_stat
 
         self.n_dim = n_dim
         self.e_dim = e_dim
@@ -233,7 +233,7 @@ def __init__(
         wanted_shape = (self.ntypes, self.nnei, 4)
         mean = torch.zeros(wanted_shape, dtype=self.prec, device=env.DEVICE)
         stddev = torch.ones(wanted_shape, dtype=self.prec, device=env.DEVICE)
-        if self.skip_static:
+        if self.skip_stat:
             stddev = stddev * 0.3
         self.register_buffer("mean", mean)
         self.register_buffer("stddev", stddev)
@@ -525,7 +525,7 @@ def compute_input_stats(
             The path to the stat file.
 
         """
-        if self.skip_static and self.set_davg_zero:
+        if self.skip_stat and self.set_davg_zero:
             return
         env_mat_stat = EnvMatStatSe(self)
         if path is not None:

deepmd/utils/argcheck.py

@@ -1483,7 +1483,7 @@ def dpa3_repflow_args():
             doc=doc_axis_neuron,
         ),
         Argument(
-            "skip_static",
+            "skip_stat",
             bool,
             optional=True,
             default=False,