| import sys |
| from pathlib import Path |
| import torch |
|
|
| |
| ROOT = Path(__file__).resolve().parents[1] |
| specbridge_root = ROOT.parent / "SpecBridge" |
| dreams_root = specbridge_root / "DreaMS" |
|
|
| print(f"Adding to sys.path: {specbridge_root}") |
| if specbridge_root.exists() and str(specbridge_root) not in sys.path: |
| sys.path.insert(0, str(specbridge_root)) |
| if dreams_root.exists() and str(dreams_root) not in sys.path: |
| sys.path.insert(0, str(dreams_root)) |
|
|
| dreams_ckpt = "/cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt" |
|
|
| print(f"Attempting to load DreaMS from: {dreams_ckpt}") |
|
|
| try: |
| from specbridge.adapters.dreams_adapter import load_dreams_encoder |
| print("Import successful.") |
| |
| model = load_dreams_encoder(dreams_ckpt, d_in=2048, d_out=1024) |
| print(f"Success! Model loaded: {type(model)}") |
| |
| |
| dummy_peaks = torch.zeros(1, 60, 2) |
| |
| try: |
| out = model(dummy_peaks, {}) |
| print(f"Forward pass success. Output shape: {out.shape}") |
| except Exception as e: |
| print(f"Forward pass failed: {e}") |
|
|
| except Exception as e: |
| print(f"FATAL ERROR loading DreaMS: {e}") |
| import traceback |
| traceback.print_exc() |
|
|