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add srn for dygraph

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This commit is contained in:
tink2123
2020-12-30 16:15:49 +08:00
parent de3e2e7cd3
commit c1fd46641e
28 changed files with 1594 additions and 70 deletions
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tools/program.py
+10 -4
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@@ -179,9 +179,9 @@ def train(config,
if 'start_epoch' in best_model_dict:
start_epoch = best_model_dict['start_epoch']
else:
start_epoch = 1
start_epoch = 0
for epoch in range(start_epoch, epoch_num + 1):
for epoch in range(start_epoch, epoch_num):
if epoch > 0:
train_dataloader = build_dataloader(config, 'Train', device, logger)
train_batch_cost = 0.0
@@ -194,7 +194,11 @@ def train(config,
break
lr = optimizer.get_lr()
images = batch[0]
preds = model(images)
if config['Architecture']['algorithm'] == "SRN":
others = batch[-4:]
preds = model(images, others)
else:
preds = model(images)
loss = loss_class(preds, batch)
avg_loss = loss['loss']
avg_loss.backward()
@@ -212,6 +216,7 @@ def train(config,
stats['lr'] = lr
train_stats.update(stats)
#cal_metric_during_train = False
if cal_metric_during_train: # onlt rec and cls need
batch = [item.numpy() for item in batch]
post_result = post_process_class(preds, batch[1])
@@ -312,8 +317,9 @@ def eval(model, valid_dataloader, post_process_class, eval_class):
if idx >= len(valid_dataloader):
break
images = batch[0]
others = batch[-4:]
start = time.time()
preds = model(images)
preds = model(images, others)
batch = [item.numpy() for item in batch]
# Obtain usable results from post-processing methods