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 | 38 +++++++++++++++++++++++++++++++++++++-
1 files changed, 37 insertions(+), 1 deletions(-)
diff --git a/funasr/bin/train.py b/funasr/bin/train.py
index 94dc75c..c0e4157 100644
--- a/funasr/bin/train.py
+++ b/funasr/bin/train.py
@@ -1,9 +1,16 @@
+import logging
+import os
import sys
import torch
+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
@@ -21,6 +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(
@@ -318,9 +326,37 @@
parser = get_parser()
args = parser.parse_args()
+ # ddp init
args.distributed = args.dist_world_size > 1
distributed_option = build_distributed(args)
+ if not distributed_option.distributed or distributed_option.dist_rank == 0:
+ logging.basicConfig(
+ level="INFO",
+ format=f"[{os.uname()[1].split('.')[0]}]"
+ f" %(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
+ )
+ else:
+ logging.basicConfig(
+ level="ERROR",
+ format=f"[{os.uname()[1].split('.')[0]}]"
+ f" %(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
+ )
- #
+ # 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)
--
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