diff --git a/algorithms/neat/genome/forward.py b/algorithms/neat/genome/forward.py
index bc37bcb..2d95973 100644
--- a/algorithms/neat/genome/forward.py
+++ b/algorithms/neat/genome/forward.py
@@ -97,7 +97,9 @@ def create_forward_function(config):
 
     if config['forward_way'] == 'single':
         return jit(forward)
-        # return jit(batch_forward)
+
+    if config['forward_way'] == 'batch':
+        return jit(batch_forward)
 
     elif config['forward_way'] == 'pop':
         return jit(pop_batch_forward)
diff --git a/pipeline.py b/pipeline.py
index 46b0a47..6d0b18a 100644
--- a/pipeline.py
+++ b/pipeline.py
@@ -51,9 +51,14 @@ class Pipeline:
 
         single:
             Create pop_size number of forward functions.
-            Each function receive (batch_size, input_size) and returns (batch_size, output_size)
+            Each function receive (input_size, ) and returns (output_size, )
             e.g. RL task
 
+        batch:
+            Create pop_size number of forward functions.
+            Each function receive (input_size, ) and returns (output_size, )
+            some task need to calculate the fitness of a batch of inputs
+
         pop:
             Create a single forward function, which use only once calculation for the population.
             The function receives (pop_size, batch_size, input_size) and returns (pop_size, batch_size, output_size)
@@ -68,8 +73,18 @@ class Pipeline:
         pop_seqs = self.pop_topological_sort(self.pop_nodes, u_pop_cons)
 
         # only common mode is supported currently
-        assert self.config['forward_way'] == 'common'
-        return lambda x: self.forward(x, pop_seqs, self.pop_nodes, u_pop_cons)
+        if self.config['forward_way'] == 'single' or self.config['forward_way'] == 'batch':
+            # carry data to cpu for fast iteration
+            pop_seqs, self.pop_nodes, self.pop_cons = jax.device_get((pop_seqs, self.pop_nodes, self.pop_cons))
+            funcs = [lambda x: self.forward(x, seqs, nodes, u_cons)
+                     for seqs, nodes, u_cons in zip(pop_seqs, self.pop_nodes, self.pop_cons)]
+            return funcs
+
+        elif self.config['forward_way'] == 'pop' or self.config['forward_way'] == 'common':
+            return lambda x: self.forward(x, pop_seqs, self.pop_nodes, u_pop_cons)
+
+        else:
+            raise NotImplementedError(f"forward_way {self.config['forward_way']} is not supported")
 
     def tell(self, fitness):
         (