modifying

examples/jit_xor.py

@@ -0,0 +1,28 @@
+import numpy as np
+
+from configs import Configer
+from jit_pipeline import Pipeline
+
+xor_inputs = np.array([[0, 0], [0, 1], [1, 0], [1, 1]], dtype=np.float32)
+xor_outputs = np.array([[0], [1], [1], [0]], dtype=np.float32)
+
+
+def evaluate(forward_func):
+    """
+    :param forward_func: (4: batch, 2: input size) -> (pop_size, 4: batch, 1: output size)
+    :return:
+    """
+    outs = forward_func(xor_inputs)
+    fitnesses = 4 - np.sum((outs - xor_outputs) ** 2, axis=(1, 2))
+    return np.array(fitnesses)  # returns a list
+
+
+def main():
+    config = Configer.load_config("xor.ini")
+    pipeline = Pipeline(config, seed=6)
+    nodes, cons = pipeline.auto_run(evaluate)
+    print(nodes, cons)
+
+
+if __name__ == '__main__':
+    main()