add skip_prune_program arg for Solver.export (PaddlePaddle#835)

ppsci/solver/solver.py

@@ -21,6 +21,7 @@
 import os
 import sys
 from os import path as osp
+from typing import TYPE_CHECKING
 from typing import Callable
 from typing import Dict
 from typing import List
@@ -41,7 +42,6 @@
 from paddle import optimizer as optim
 from paddle.distributed import fleet
 from paddle.framework import core
-from paddle.static import InputSpec
 from typing_extensions import Literal
 
 import ppsci
@@ -51,6 +51,9 @@
 from ppsci.utils import misc
 from ppsci.utils import save_load
 
+if TYPE_CHECKING:
+    from paddle.static import InputSpec
+
 
 class Solver:
     """Class for solver.
@@ -729,7 +732,11 @@ def predict(
 
     @misc.run_on_eval_mode
     def export(
-        self, input_spec: List[InputSpec], export_path: str, with_onnx: bool = False
+        self,
+        input_spec: List["InputSpec"],
+        export_path: str,
+        with_onnx: bool = False,
+        skip_prune_program: bool = False,
     ):
         """
         Convert model to static graph model and export to files.
@@ -739,7 +746,9 @@ def export(
                 of the model input.
             export_path (str): The path prefix to save model.
             with_onnx (bool, optional): Whether to export model into onnx after
-                paddle inference models are exported.
+                paddle inference models are exported. Defaults to False.
+            skip_prune_program (bool, optional): Whether prune program, pruning program
+                may cause unexpectable result, e.g. llm-inference. Defaults to False.
         """
         jit.enable_to_static(True)
 
@@ -760,7 +769,7 @@ def export(
         if len(osp.dirname(export_path)):
             os.makedirs(osp.dirname(export_path), exist_ok=True)
         try:
-            jit.save(static_model, export_path)
+            jit.save(static_model, export_path, skip_prune_program=skip_prune_program)
         except Exception as e:
             raise e
         logger.message(