From 680cdb55bbde415c2f750e58808faedc6d1a6bf3 Mon Sep 17 00:00:00 2001
From: speech_asr <wangjiaming.wjm@alibaba-inc.com>
Date: 星期三, 19 四月 2023 14:49:36 +0800
Subject: [PATCH] update

---
 funasr/bin/train.py |   18 +++++++++++++++---
 1 files changed, 15 insertions(+), 3 deletions(-)

diff --git a/funasr/bin/train.py b/funasr/bin/train.py
index dbfebd7..c0e4157 100644
--- a/funasr/bin/train.py
+++ b/funasr/bin/train.py
@@ -6,8 +6,11 @@
 
 from funasr.torch_utils.set_all_random_seed import set_all_random_seed
 from funasr.utils import config_argparse
+from funasr.utils.build_dataloader import build_dataloader
 from funasr.utils.build_distributed import build_distributed
 from funasr.utils.prepare_data import prepare_data
+from funasr.utils.build_optimizer import build_optimizer
+from funasr.utils.build_scheduler import build_scheduler
 from funasr.utils.types import str2bool
 
 
@@ -25,6 +28,7 @@
         help="The number of gpus. 0 indicates CPU mode",
     )
     parser.add_argument("--seed", type=int, default=0, help="Random seed")
+    parser.add_argument("--task_name", type=str, default="asr", help="Name for different tasks")
 
     # ddp related
     parser.add_argument(
@@ -337,14 +341,22 @@
             format=f"[{os.uname()[1].split('.')[0]}]"
                    f" %(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
         )
-    logging.info("world size: {}, rank: {}, local_rank: {}".format(distributed_option.dist_world_size,
-                                                                   distributed_option.dist_rank,
-                                                                   distributed_option.local_rank))
 
     # prepare files for dataloader
     prepare_data(args, distributed_option)
 
+    # set random seed
     set_all_random_seed(args.seed)
     torch.backends.cudnn.enabled = args.cudnn_enabled
     torch.backends.cudnn.benchmark = args.cudnn_benchmark
     torch.backends.cudnn.deterministic = args.cudnn_deterministic
+
+    train_dataloader, valid_dataloader = build_dataloader(args)
+
+    logging.info("world size: {}, rank: {}, local_rank: {}".format(distributed_option.dist_world_size,
+                                                                   distributed_option.dist_rank,
+                                                                   distributed_option.local_rank))
+
+    model = build_model(args)
+    optimizers = build_optimizer(args, model=model)
+    schedule = build_scheduler(args)

--
Gitblit v1.9.1