Chore(pt):rm old pt implementation (#4223)

Fix #3913.

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

## Release Notes

- **New Features**
- Introduced `exclude_types` parameter in `DipoleFittingNet` and
`PolarFittingNet` constructors for improved flexibility.
  - Added `SimpleLinear` class to enhance network functionality.

- **Bug Fixes**
- Removed `old_impl` parameter across various classes, streamlining
interfaces and ensuring consistent behavior.

- **Documentation**
- Updated test cases to reflect the removal of `old_impl`, focusing on
new implementations.

- **Chores**
- Deleted obsolete files and classes to simplify the codebase and
improve maintainability.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: iProzd

deepmd/dpmodel/fitting/dipole_fitting.py

@@ -105,7 +105,6 @@ def __init__(
         r_differentiable: bool = True,
         c_differentiable: bool = True,
         type_map: Optional[list[str]] = None,
-        old_impl=False,
         seed: Optional[Union[int, list[int]]] = None,
     ):
         if tot_ener_zero:
@@ -141,7 +140,6 @@ def __init__(
             type_map=type_map,
             seed=seed,
         )
-        self.old_impl = False
 
     def _net_out_dim(self):
         """Set the FittingNet output dim."""
@@ -151,7 +149,6 @@ def serialize(self) -> dict:
         data = super().serialize()
         data["type"] = "dipole"
         data["embedding_width"] = self.embedding_width
-        data["old_impl"] = self.old_impl
         data["r_differentiable"] = self.r_differentiable
         data["c_differentiable"] = self.c_differentiable
         return data

deepmd/dpmodel/fitting/polarizability_fitting.py

@@ -107,7 +107,6 @@ def __init__(
         spin: Any = None,
         mixed_types: bool = False,
         exclude_types: list[int] = [],
-        old_impl: bool = False,
         fit_diag: bool = True,
         scale: Optional[list[float]] = None,
         shift_diag: bool = True,
@@ -165,7 +164,6 @@ def __init__(
             type_map=type_map,
             seed=seed,
         )
-        self.old_impl = False
 
     def _net_out_dim(self):
         """Set the FittingNet output dim."""
@@ -192,7 +190,6 @@ def serialize(self) -> dict:
         data["type"] = "polar"
         data["@version"] = 3
         data["embedding_width"] = self.embedding_width
-        data["old_impl"] = self.old_impl
         data["fit_diag"] = self.fit_diag
         data["shift_diag"] = self.shift_diag
         data["@variables"]["scale"] = self.scale

deepmd/pt/model/backbone/__init__.py

@@ -16,9 +16,6 @@
 from .env_mat import (
     prod_env_mat,
 )
-from .gaussian_lcc import (
-    DescrptGaussianLcc,
-)
 from .hybrid import (
     DescrptHybrid,
 )
@@ -59,6 +56,5 @@
     "DescrptDPA2",
     "DescrptHybrid",
     "prod_env_mat",
-    "DescrptGaussianLcc",
     "DescrptBlockRepformers",
 ]

deepmd/pt/model/backbone/backbone.py

@@ -245,7 +245,6 @@ def __init__(
         # not implemented
         spin=None,
         type: Optional[str] = None,
-        old_impl: bool = False,
     ):
         super().__init__()
         # Ensure compatibility with the deprecated stripped_type_embedding option.
@@ -290,7 +289,6 @@ def __init__(
             trainable_ln=trainable_ln,
             ln_eps=ln_eps,
             seed=child_seed(seed, 1),
-            old_impl=old_impl,
         )
         self.use_econf_tebd = use_econf_tebd
         self.use_tebd_bias = use_tebd_bias

deepmd/pt/model/backbone/evoformer2b.py

@@ -92,7 +92,6 @@ def __init__(
         use_econf_tebd: bool = False,
         use_tebd_bias: bool = False,
         type_map: Optional[list[str]] = None,
-        old_impl: bool = False,
     ):
         r"""The DPA-2 descriptor. see https://arxiv.org/abs/2312.15492.
 
@@ -235,7 +234,6 @@ def init_subclass_params(sub_data, sub_class):
             g1_out_conv=self.repformer_args.g1_out_conv,
             g1_out_mlp=self.repformer_args.g1_out_mlp,
             seed=child_seed(seed, 1),
-            old_impl=old_impl,
         )
         self.rcsl_list = [
             (self.repformers.get_rcut(), self.repformers.get_nsel()),