#!/usr/bin/env python3 """Run a quick verification suite for Brain v0.4.""" from __future__ import annotations import sys from pathlib import Path ROOT = Path(__file__).resolve().parents[1] sys.path.insert(0, str(ROOT)) def main() -> int: fails = 0 def check(name, fn): nonlocal fails try: fn() print(f"PASS {name}") except Exception as e: print(f"FAIL {name}: {e}") fails += 1 def core(): from brain.core.config import BrainConfig from brain.model.brain_model import BrainForCausalLM c = BrainConfig.from_yaml(str(ROOT / "configs/model/brain_0_4_mm.yaml")) assert BrainForCausalLM(c).count_parameters()["total"] == 33_236_352 def phase_a(): from brain.experimental.ingest import load_any import tempfile p = Path(tempfile.mkdtemp()) / "t.txt" p.write_text("ok") assert load_any(p).blocks def phase_b(): import torch from brain.experimental.multimodal import VisionTower from brain.experimental.multimodal.vision.encoder import StubVisionEncoder t = VisionTower(hidden_size=64, encoder=StubVisionEncoder(768, 8)) assert t(torch.randn(1,3,64,64)).shape[-1] == 64 def phase_c(): import torch from brain.experimental.multimodal import AudioTower assert AudioTower(64, 128, 8)(torch.randn(1,1,500)).shape == (1,8,64) def phase_d(): from brain.experimental.multimodal import VideoBundle assert "video" in VideoBundle("x.mp4").to_prompt() def phase_e(): from brain.experimental.mm_sft import MMSFTExample, write_sample_sft_jsonl, load_mm_sft_jsonl import tempfile p = Path(tempfile.mkdtemp()) / "s.jsonl" write_sample_sft_jsonl(p) rows = load_mm_sft_jsonl(p) assert len(rows) >= 2 assert "2+2" in rows[1].build_prompt() or rows[1].answer == "4" for n,f in [("core",core),("A_ingest",phase_a),("B_vision",phase_b), ("C_audio",phase_c),("D_video",phase_d),("E_mm_sft",phase_e)]: check(n,f) print("result:", "OK" if fails==0 else f"{fails} failed") return 1 if fails else 0 if __name__ == "__main__": raise SystemExit(main())