From 82530ddf974a706df5a6a1e258d80c8dbc3f1d72 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 10 六月 2024 09:19:16 +0800
Subject: [PATCH] fix bug
---
funasr/bin/train_ds.py | 18 +++++++++++++++---
1 files changed, 15 insertions(+), 3 deletions(-)
diff --git a/funasr/bin/train_ds.py b/funasr/bin/train_ds.py
index b0931b0..d9b7679 100644
--- a/funasr/bin/train_ds.py
+++ b/funasr/bin/train_ds.py
@@ -130,8 +130,8 @@
model = trainer.warp_model(model)
- kwargs["device"] = next(model.parameters()).device
- trainer.device = kwargs["device"]
+ kwargs["device"] = int(os.environ.get("LOCAL_RANK", 0))
+ trainer.device = int(os.environ.get("LOCAL_RANK", 0))
model, optim, scheduler = trainer.warp_optim_scheduler(model, **kwargs)
@@ -158,6 +158,8 @@
time1 = time.perf_counter()
for data_split_i in range(trainer.start_data_split_i, dataloader.data_split_num):
+ time_slice_i = time.perf_counter()
+
dataloader_tr, dataloader_val = dataloader.build_iter(
epoch, data_split_i=data_split_i, start_step=trainer.start_step
)
@@ -177,6 +179,14 @@
trainer.start_step = 0
torch.cuda.empty_cache()
+
+ time_escaped = (time.perf_counter() - time_slice_i) / 3600.0
+ logging.info(
+ f"rank: {local_rank}, "
+ f"time_escaped_epoch: {time_escaped:.3f} hours, "
+ f"estimated to finish {dataloader.data_split_num} data_slices, remaining: {(dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours"
+ f"epoch: {((trainer.max_epoch - epoch - 1)*dataloader.data_split_num + dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours\n"
+ )
trainer.start_data_split_i = 0
trainer.validate_epoch(model=model, dataloader_val=dataloader_val, epoch=epoch + 1)
@@ -198,7 +208,9 @@
trainer.train_loss_avg = 0.0
if trainer.rank == 0:
- average_checkpoints(trainer.output_dir, trainer.avg_nbest_model)
+ average_checkpoints(
+ trainer.output_dir, trainer.avg_nbest_model, use_deepspeed=trainer.use_deepspeed
+ )
trainer.close()
--
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