From 3d12aa567443d603941636ab6308b4aafc5a80b0 Mon Sep 17 00:00:00 2001
From: 维石 <shixian.shi@alibaba-inc.com>
Date: 星期四, 18 四月 2024 10:14:16 +0800
Subject: [PATCH] update seaco finetune
---
funasr/bin/train.py | 6 ++++--
1 files changed, 4 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/train.py b/funasr/bin/train.py
index d19b79a..4ab2d8a 100644
--- a/funasr/bin/train.py
+++ b/funasr/bin/train.py
@@ -55,6 +55,8 @@
torch.backends.cudnn.enabled = kwargs.get("cudnn_enabled", torch.backends.cudnn.enabled)
torch.backends.cudnn.benchmark = kwargs.get("cudnn_benchmark", torch.backends.cudnn.benchmark)
torch.backends.cudnn.deterministic = kwargs.get("cudnn_deterministic", True)
+ # open tf32
+ torch.backends.cuda.matmul.allow_tf32 = kwargs.get("enable_tf32", True)
local_rank = int(os.environ.get('LOCAL_RANK', 0))
if local_rank == 0:
@@ -102,7 +104,7 @@
if use_ddp:
model = model.cuda(local_rank)
model = DDP(model, device_ids=[local_rank],
- find_unused_parameters=kwargs.get("train_conf", {}).get("find_unused_parameters", False))
+ find_unused_parameters=kwargs.get("train_conf", {}).get("find_unused_parameters", True))
elif use_fsdp:
# model = FSDP(model).cuda(local_rank)
@@ -214,7 +216,7 @@
if trainer.rank == 0:
- average_checkpoints(trainer.output_dir, trainer.avg_nbest_model, trainer.val_acc_list)
+ average_checkpoints(trainer.output_dir, trainer.avg_nbest_model)
trainer.close()
--
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