From 8cd896d984d2627efb233795978c9a86ff543133 Mon Sep 17 00:00:00 2001
From: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
Date: 星期六, 09 三月 2024 13:55:54 +0800
Subject: [PATCH] update hotword finetuning (#1452)
---
funasr/train_utils/trainer.py | 7 +++++--
1 files changed, 5 insertions(+), 2 deletions(-)
diff --git a/funasr/train_utils/trainer.py b/funasr/train_utils/trainer.py
index 5b280bf..2a57a9b 100644
--- a/funasr/train_utils/trainer.py
+++ b/funasr/train_utils/trainer.py
@@ -14,6 +14,7 @@
from funasr.train_utils.device_funcs import to_device
from funasr.train_utils.recursive_op import recursive_average
from funasr.train_utils.average_nbest_models import average_checkpoints
+from torch.distributed.fsdp.sharded_grad_scaler import ShardedGradScaler
@contextmanager
def maybe_autocast(enabled):
@@ -84,7 +85,9 @@
self.batch_total = 0
self.use_fp16 = use_fp16
self.disable_gpu_cache = kwargs.get("disable_gpu_cache", True)
- self.scaler = GradScaler(enabled=use_fp16) if use_fp16 else None
+ scaler = GradScaler(enabled=use_fp16) if use_fp16 else None
+ scaler = ShardedGradScaler(enabled=use_fp16) if use_ddp else scaler
+ self.scaler = scaler
try:
@@ -160,7 +163,7 @@
self.scaler.load_state_dict(checkpoint['scaler_state'])
print(f"Checkpoint loaded successfully from '{ckpt}'")
else:
- print(f"No checkpoint found at '{ckpt}', starting from scratch")
+ print(f"No checkpoint found at '{ckpt}', does not resume status!")
if self.use_ddp or self.use_fsdp:
dist.barrier()
--
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