32 lines
793 B
Python
32 lines
793 B
Python
import jax
|
|
import numpy as np
|
|
|
|
from algorithm import Configer, NEAT
|
|
from algorithm.neat import NormalGene, 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)
|
|
outs = jax.device_get(outs)
|
|
# print(outs)
|
|
fitnesses = 4 - np.sum((outs - xor_outputs) ** 2, axis=(1, 2))
|
|
return fitnesses
|
|
|
|
|
|
def main():
|
|
config = Configer.load_config("xor.ini")
|
|
algorithm = NEAT(config, NormalGene)
|
|
pipeline = Pipeline(config, algorithm)
|
|
pipeline.auto_run(evaluate)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|