add save function in pipeline

tensorneat/utils/activation/act_jnp.py

@@ -14,7 +14,8 @@ class Act:
 
     @staticmethod
     def tanh(z):
-        return jnp.tanh(0.6 * z)
+        z = jnp.clip(0.6*z, -3, 3)
+        return jnp.tanh(z)
 
     @staticmethod
     def sin(z):

tensorneat/utils/activation/act_sympy.py

@@ -45,11 +45,15 @@ class SympySigmoid(sp.Function):
 class SympyTanh(sp.Function):
     @classmethod
     def eval(cls, z):
-        return sp.tanh(0.6 * z)
+        if z.is_Number:
+            z = SympyClip(0.6 * z, -3, 3)
+            return sp.tanh(z)
+        return None
 
     @staticmethod
     def numerical_eval(z, backend=np):
-        return backend.tanh(0.6 * z)
+        z = backend.clip(0.6*z, -3, 3)
+        return backend.tanh(z)
 
 
 class SympySin(sp.Function):

tensorneat/utils/stateful_class.py

@@ -1,3 +1,4 @@
+import json
 from typing import Optional
 from . import State
 import pickle
@@ -18,6 +19,15 @@ class StatefulBaseClass:
         with open(path, "wb") as f:
             pickle.dump(self, f)
 
+    def show_config(self):
+        config = {}
+        for key, value in self.__dict__.items():
+            if isinstance(value, StatefulBaseClass):
+                config[str(key)] = value.show_config()
+            else:
+                config[str(key)] = str(value)
+        return config
+
     @classmethod
     def load(cls, path: str, with_state: bool = False, warning: bool = True):
         with open(path, "rb") as f: