--- a
+++ b/evaluate.py
@@ -0,0 +1,94 @@
+"""
+ Copyright (c) 2022, salesforce.com, inc.
+ All rights reserved.
+ SPDX-License-Identifier: BSD-3-Clause
+ For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause
+"""
+
+import argparse
+import random
+import os
+import numpy as np
+import torch
+import torch.backends.cudnn as cudnn
+
+import lavis.tasks as tasks
+from lavis.common.config import Config
+from lavis.common.dist_utils import get_rank, init_distributed_mode
+from lavis.common.logger import setup_logger
+from lavis.common.optims import (
+    LinearWarmupCosineLRScheduler,
+    LinearWarmupStepLRScheduler,
+)
+from lavis.common.utils import now
+
+# imports modules for registration
+from lavis.datasets.builders import *
+from lavis.models import *
+from lavis.processors import *
+from lavis.runners.runner_base import RunnerBase
+from lavis.tasks import *
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(description="Training")
+
+    parser.add_argument("--cfg-path", required=True, help="path to configuration file.")
+    parser.add_argument(
+        "--options",
+        nargs="+",
+        help="override some settings in the used config, the key-value pair "
+        "in xxx=yyy format will be merged into config file (deprecate), "
+        "change to --cfg-options instead.",
+    )
+
+    parser.add_argument("--local-rank", type=int)
+    args = parser.parse_args()
+    if 'LOCAL_RANK' not in os.environ:
+        os.environ['LOCAL_RANK'] = str(args.local_rank)
+
+    return args
+
+
+def setup_seeds(config):
+    seed = config.run_cfg.seed + get_rank()
+
+    random.seed(seed)
+    np.random.seed(seed)
+    torch.manual_seed(seed)
+
+    cudnn.benchmark = False
+    cudnn.deterministic = True
+
+
+def main():
+    # allow auto-dl completes on main process without timeout when using NCCL backend.
+    # os.environ["NCCL_BLOCKING_WAIT"] = "1"
+
+    # set before init_distributed_mode() to ensure the same job_id shared across all ranks.
+    job_id = now()
+
+    cfg = Config(parse_args())
+
+    init_distributed_mode(cfg.run_cfg)
+
+    setup_seeds(cfg)
+
+    # set after init_distributed_mode() to only log on master.
+    setup_logger()
+
+    cfg.pretty_print()
+
+    task = tasks.setup_task(cfg)
+    datasets = task.build_datasets(cfg)
+    model = task.build_model(cfg)
+
+    runner = RunnerBase(
+        cfg=cfg, job_id=job_id, task=task, model=model, datasets=datasets
+    )
+    runner.evaluate(skip_reload=True)
+
+
+if __name__ == "__main__":
+    main()
+