From f2b9780b29f19417c9dd289609f4a10b7bfc59e9 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 22:47:00 +0800
Subject: [PATCH] update
---
funasr/bin/train.py | 35 +++++++++++++++++++++++++++++++++--
1 files changed, 33 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/train.py b/funasr/bin/train.py
index 9c8f672..d5e7089 100755
--- a/funasr/bin/train.py
+++ b/funasr/bin/train.py
@@ -21,6 +21,7 @@
from funasr.torch_utils.set_all_random_seed import set_all_random_seed
from funasr.utils.nested_dict_action import NestedDictAction
from funasr.utils.prepare_data import prepare_data
+from funasr.utils.types import int_or_none
from funasr.utils.types import str2bool
from funasr.utils.types import str_or_none
from funasr.utils.yaml_no_alias_safe_dump import yaml_no_alias_safe_dump
@@ -58,7 +59,7 @@
)
parser.add_argument(
"--dist_world_size",
- default=None,
+ default=1,
help="number of nodes for distributed training",
)
parser.add_argument(
@@ -70,6 +71,36 @@
"--local_rank",
default=None,
help="local rank for distributed training",
+ )
+ parser.add_argument(
+ "--dist_master_addr",
+ default=None,
+ type=str_or_none,
+ help="The master address for distributed training. "
+ "This value is used when dist_init_method == 'env://'",
+ )
+ parser.add_argument(
+ "--dist_master_port",
+ default=None,
+ type=int_or_none,
+ help="The master port for distributed training"
+ "This value is used when dist_init_method == 'env://'",
+ )
+ parser.add_argument(
+ "--dist_launcher",
+ default=None,
+ type=str_or_none,
+ choices=["slurm", "mpi", None],
+ help="The launcher type for distributed training",
+ )
+ parser.add_argument(
+ "--multiprocessing_distributed",
+ default=True,
+ type=str2bool,
+ help="Use multi-processing distributed training to launch "
+ "N processes per node, which has N GPUs. This is the "
+ "fastest way to use PyTorch for either single node or "
+ "multi node data parallel training",
)
parser.add_argument(
"--unused_parameters",
@@ -444,7 +475,7 @@
# ddp init
os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_id)
- args.distributed = args.dist_world_size > 1
+ args.distributed = args.ngpu > 1 or args.dist_world_size > 1
distributed_option = build_distributed(args)
# for logging
--
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