From 996b951365905df0314b0b611d0176ae6df5d178 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 19:55:57 +0800
Subject: [PATCH] update
---
funasr/bin/train.py | 46 ++++++++++++++++++++++++++++++++++++++++++++--
1 files changed, 44 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/train.py b/funasr/bin/train.py
index 26e0e6a..f684f3b 100755
--- a/funasr/bin/train.py
+++ b/funasr/bin/train.py
@@ -19,7 +19,9 @@
from funasr.torch_utils.model_summary import model_summary
from funasr.torch_utils.pytorch_version import pytorch_cudnn_version
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
@@ -57,7 +59,7 @@
)
parser.add_argument(
"--dist_world_size",
- default=None,
+ default=1,
help="number of nodes for distributed training",
)
parser.add_argument(
@@ -69,6 +71,20 @@
"--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(
"--unused_parameters",
@@ -302,6 +318,32 @@
help="Apply preprocessing to data or not",
)
+ # optimization related
+ parser.add_argument(
+ "--optim",
+ type=lambda x: x.lower(),
+ default="adam",
+ help="The optimizer type",
+ )
+ parser.add_argument(
+ "--optim_conf",
+ action=NestedDictAction,
+ default=dict(),
+ help="The keyword arguments for optimizer",
+ )
+ parser.add_argument(
+ "--scheduler",
+ type=lambda x: str_or_none(x.lower()),
+ default=None,
+ help="The lr scheduler type",
+ )
+ parser.add_argument(
+ "--scheduler_conf",
+ action=NestedDictAction,
+ default=dict(),
+ help="The keyword arguments for lr scheduler",
+ )
+
# most task related
parser.add_argument(
"--init",
@@ -417,7 +459,7 @@
# 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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