diff --git a/brainpy/_src/math/object_transform/jit.py b/brainpy/_src/math/object_transform/jit.py
index 394a3dd3..6c729e1d 100644
--- a/brainpy/_src/math/object_transform/jit.py
+++ b/brainpy/_src/math/object_transform/jit.py
@@ -146,9 +146,9 @@ def _get_transform(self, *args, **kwargs):
     with VariableStack() as self._dyn_vars:
       rets = eval_shape(self.fun,
                         *args,
+                        **kwargs,
                         static_argnums=self._static_argnums,
-                        static_argnames=self._static_argnames,
-                        **kwargs)
+                        static_argnames=self._static_argnames,)
     # in_shardings
     if self._in_shardings is None:
       in_shardings = None
@@ -174,18 +174,18 @@ def _get_transform(self, *args, **kwargs):
       _dyn_vars_sharing = get_shardings(self._dyn_vars.subset_by_not_instance(RandomState))
       out_shardings = (_dyn_vars_sharing,) + out_shardings
 
-      # jit
-      self._transform = jax.jit(
-        self._transform_function,
-        static_argnums=jax.tree_util.tree_map(lambda a: a + 1, self._static_argnums),
-        static_argnames=self._static_argnames,
-        donate_argnums=self._donate_argnums,
-        inline=self._inline,
-        keep_unused=self._keep_unused,
-        abstracted_axes=self._abstracted_axes,
-        in_shardings=in_shardings,
-        out_shardings=out_shardings,
-      )
+    # jit
+    self._transform = jax.jit(
+      self._transform_function,
+      static_argnums=jax.tree_util.tree_map(lambda a: a + 1, self._static_argnums),
+      static_argnames=self._static_argnames,
+      donate_argnums=self._donate_argnums,
+      inline=self._inline,
+      keep_unused=self._keep_unused,
+      abstracted_axes=self._abstracted_axes,
+      in_shardings=in_shardings,
+      out_shardings=out_shardings,
+    )
     return rets
 
   def __call__(self, *args, **kwargs):