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speech_asr 2023-04-18 16:41:04 +08:00
parent 66b502164d
commit a1a79bbe3e
1 changed files with 8 additions and 5 deletions
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13
funasr/train/trainer.py
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@ -583,11 +583,14 @@ class Trainer:
if rank == 0:
if hasattr(model, "num_updates") or (hasattr(model, "module") and hasattr(model.module, "num_updates")):
num_batch_updates = model.get_num_updates() if hasattr(model,"num_updates") else model.module.get_num_updates()
if (num_batch_updates%batch_interval == 0) and (options.oss_bucket is not None) and options.use_pai:
buffer = BytesIO()
torch.save(model.state_dict(), buffer)
options.oss_bucket.put_object(os.path.join(output_dir, f"{num_batch_updates}batch.pth"), buffer.getvalue())
if (num_batch_updates%batch_interval == 0) and (options.oss_bucket is not None):
if options.use_pai:
buffer = BytesIO()
torch.save(model.state_dict(), buffer)
options.oss_bucket.put_object(os.path.join(output_dir, f"{num_batch_updates}step.pb"), buffer.getvalue())
else:
torch.save(model.state_dict(), os.path.join(output_dir, f"{num_batch_updates}step.pb"))
if distributed:
torch.distributed.all_reduce(iterator_stop, ReduceOp.SUM)
if iterator_stop > 0: