speech_recognition/FunASR
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游雁 2024-03-22 22:51:11 +08:00
parent 6ce4909ecc
commit fffb628d31
1 changed files with 23 additions and 3 deletions
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26
funasr/train_utils/trainer.py
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@ -248,8 +248,12 @@ class Trainer:
optim.zero_grad() optim.zero_grad()
speed_stats = {} speed_stats = {}
time5 = time.perf_counter() time5 = time.perf_counter()
iterator_stop = torch.tensor(0).to(self.device)
for batch_idx, batch in enumerate(dataloader_train): for batch_idx, batch in enumerate(dataloader_train):
if self.use_ddp or self.use_fsdp:
dist.all_reduce(iterator_stop, dist.ReduceOp.SUM)
if iterator_stop > 0:
break
self.batch_total += 1 self.batch_total += 1
time1 = time.perf_counter() time1 = time.perf_counter()
speed_stats["data_load"] = f"{time1-time5:0.3f}" speed_stats["data_load"] = f"{time1-time5:0.3f}"
@ -356,7 +360,11 @@ class Trainer:
if (batch_idx+1) % self.save_checkpoint_interval == 0: if (batch_idx+1) % self.save_checkpoint_interval == 0:
self.save_checkpoint(epoch, model=model, optim=optim, scheduler=scheduler, scaler=scaler, step=batch_idx+1) self.save_checkpoint(epoch, model=model, optim=optim, scheduler=scheduler, scaler=scaler, step=batch_idx+1)
else:
if self.use_ddp or self.use_fsdp:
iterator_stop.fill_(1)
dist.all_reduce(iterator_stop, dist.ReduceOp.SUM)
if self.use_ddp or self.use_fsdp: if self.use_ddp or self.use_fsdp:
dist.barrier() dist.barrier()
@ -383,7 +391,12 @@ class Trainer:
speed_stats = {} speed_stats = {}
time5 = time.perf_counter() time5 = time.perf_counter()
iterator_stop = torch.tensor(0).to(self.device)
for batch_idx, batch in enumerate(dataloader_val): for batch_idx, batch in enumerate(dataloader_val):
if self.use_ddp or self.use_fsdp:
dist.all_reduce(iterator_stop, dist.ReduceOp.SUM)
if iterator_stop > 0:
break
time1 = time.perf_counter() time1 = time.perf_counter()
speed_stats["data_load"] = f"{time1 - time5:0.3f}" speed_stats["data_load"] = f"{time1 - time5:0.3f}"
batch = to_device(batch, self.device) batch = to_device(batch, self.device)
@ -433,9 +446,16 @@ class Trainer:
tag="val", tag="val",
) )
else:
if self.use_ddp or self.use_fsdp:
iterator_stop.fill_(1)
dist.all_reduce(iterator_stop, dist.ReduceOp.SUM)
self.val_acc_list.append(self.val_acc_avg) self.val_acc_list.append(self.val_acc_avg)
model.train() model.train()
if self.use_ddp or self.use_fsdp: if self.use_ddp or self.use_fsdp:
dist.barrier() dist.barrier()