mirrors/icefall
1
0
Fork 0
mirror of https://github.com/k2-fsa/icefall.git synced 2025-08-26 10:16:14 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge 65212ee0041db43c826c5331c907730ba7c87cd4 into 34fc1fdf0d8ff520e2bb18267d046ca207c78ef9

Browse Source
This commit is contained in:
Fangjun Kuang 2025-08-17 06:12:08 +00:00 committed by GitHub
commit feb996fcc1
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 0 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
egs/librispeech/ASR/transducer_stateless/train.py
View File

@ -53,7 +53,6 @@ from lhotse.utils import fix_random_seed
from model import Transducer from model import Transducer
from torch import Tensor from torch import Tensor
from torch.nn.parallel import DistributedDataParallel as DDP from torch.nn.parallel import DistributedDataParallel as DDP
from torch.nn.utils import clip_grad_norm_
from torch.utils.tensorboard import SummaryWriter from torch.utils.tensorboard import SummaryWriter
from transformer import Noam from transformer import Noam
@ -527,7 +526,6 @@ def train_one_epoch(
optimizer.zero_grad() optimizer.zero_grad()
loss.backward() loss.backward()
clip_grad_norm_(model.parameters(), 5.0, 2.0)
optimizer.step() optimizer.step()
if params.print_diagnostics and batch_idx == 30: if params.print_diagnostics and batch_idx == 30:
return return
@ -737,7 +735,6 @@ def scan_pessimistic_batches_for_oom(
is_training=True, is_training=True,
) )
loss.backward() loss.backward()
clip_grad_norm_(model.parameters(), 5.0, 2.0)
optimizer.step() optimizer.step()
except RuntimeError as e: except RuntimeError as e:
if "CUDA out of memory" in str(e): if "CUDA out of memory" in str(e):