Download Brain_O_Codebase/brain_v0_5/scripts/verify_v04.py from BraegnAI/Brain-o: direct link, hf CLI and curl.
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https://huggingface.co/datasets/BraegnAI/Brain-o/resolve/main/Brain_O_Codebase/brain_v0_5/scripts/verify_v04.py
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hf download hf://datasets/BraegnAI/Brain-o/Brain_O_Codebase/brain_v0_5/scripts/verify_v04.py
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curl -L -o verify_v04.py https://huggingface.co/datasets/BraegnAI/Brain-o/resolve/main/Brain_O_Codebase/brain_v0_5/scripts/verify_v04.py
2.28 kB
| #!/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()) | |