| import numpy as np | |
| import json | |
| import os | |
| class EvolutionaryLoRA: | |
| def __init__(self, brain, evaluation_set=None): | |
| self.brain = brain | |
| self.eval_set = evaluation_set | |
| def run_generation(self): | |
| out_path = os.path.expanduser("~/vitalis_core/storage/lora_delta_evo.json") | |
| os.makedirs(os.path.dirname(out_path), exist_ok=True) | |
| mock_delta = { | |
| "layer_delta_A": np.random.randn(4, 4).tolist(), | |
| "layer_delta_B": np.random.randn(4, 4).tolist() | |
| } | |
| with open(out_path, "w") as f: | |
| json.dump(mock_delta, f, indent=2) | |
| print(f"[+] Synaptic optimization trace exported to {out_path}") | |