This commit is contained in:
WenmuZhou 2020-11-06 18:56:53 +08:00
parent 9467b75436
commit 2aa92e6a64
1 changed files with 8 additions and 10 deletions

View File

@ -152,7 +152,6 @@ def train(config,
pre_best_model_dict,
logger,
vdl_writer=None):
cal_metric_during_train = config['Global'].get('cal_metric_during_train',
False)
log_smooth_window = config['Global']['log_smooth_window']
@ -185,14 +184,13 @@ def train(config,
for epoch in range(start_epoch, epoch_num):
if epoch > 0:
train_loader = build_dataloader(config, 'Train', device)
train_dataloader = build_dataloader(config, 'Train', device, logger)
for idx, batch in enumerate(train_dataloader):
if idx >= len(train_dataloader):
break
lr = optimizer.get_lr()
t1 = time.time()
batch = [paddle.to_tensor(x) for x in batch]
images = batch[0]
preds = model(images)
loss = loss_class(preds, batch)
@ -301,11 +299,11 @@ def eval(model, valid_dataloader, post_process_class, eval_class, logger,
with paddle.no_grad():
total_frame = 0.0
total_time = 0.0
# pbar = tqdm(total=len(valid_dataloader), desc='eval model:')
pbar = tqdm(total=len(valid_dataloader), desc='eval model:')
for idx, batch in enumerate(valid_dataloader):
if idx >= len(valid_dataloader):
break
images = paddle.to_tensor(batch[0])
images = batch[0]
start = time.time()
preds = model(images)
@ -315,15 +313,15 @@ def eval(model, valid_dataloader, post_process_class, eval_class, logger,
total_time += time.time() - start
# Evaluate the results of the current batch
eval_class(post_result, batch)
# pbar.update(1)
pbar.update(1)
total_frame += len(images)
if idx % print_batch_step == 0 and dist.get_rank() == 0:
logger.info('tackling images for eval: {}/{}'.format(
idx, len(valid_dataloader)))
# if idx % print_batch_step == 0 and dist.get_rank() == 0:
# logger.info('tackling images for eval: {}/{}'.format(
# idx, len(valid_dataloader)))
# Get final metirceg. acc or hmean
metirc = eval_class.get_metric()
# pbar.close()
pbar.close()
model.train()
metirc['fps'] = total_frame / total_time
return metirc