fix bug
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parent
9467b75436
commit
2aa92e6a64
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@ -152,7 +152,6 @@ def train(config,
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pre_best_model_dict,
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logger,
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vdl_writer=None):
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cal_metric_during_train = config['Global'].get('cal_metric_during_train',
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False)
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log_smooth_window = config['Global']['log_smooth_window']
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@ -185,14 +184,13 @@ def train(config,
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for epoch in range(start_epoch, epoch_num):
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if epoch > 0:
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train_loader = build_dataloader(config, 'Train', device)
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train_dataloader = build_dataloader(config, 'Train', device, logger)
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for idx, batch in enumerate(train_dataloader):
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if idx >= len(train_dataloader):
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break
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lr = optimizer.get_lr()
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t1 = time.time()
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batch = [paddle.to_tensor(x) for x in batch]
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images = batch[0]
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preds = model(images)
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loss = loss_class(preds, batch)
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@ -301,11 +299,11 @@ def eval(model, valid_dataloader, post_process_class, eval_class, logger,
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with paddle.no_grad():
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total_frame = 0.0
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total_time = 0.0
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# pbar = tqdm(total=len(valid_dataloader), desc='eval model:')
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pbar = tqdm(total=len(valid_dataloader), desc='eval model:')
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for idx, batch in enumerate(valid_dataloader):
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if idx >= len(valid_dataloader):
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break
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images = paddle.to_tensor(batch[0])
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images = batch[0]
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start = time.time()
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preds = model(images)
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@ -315,15 +313,15 @@ def eval(model, valid_dataloader, post_process_class, eval_class, logger,
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total_time += time.time() - start
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# Evaluate the results of the current batch
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eval_class(post_result, batch)
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# pbar.update(1)
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pbar.update(1)
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total_frame += len(images)
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if idx % print_batch_step == 0 and dist.get_rank() == 0:
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logger.info('tackling images for eval: {}/{}'.format(
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idx, len(valid_dataloader)))
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# if idx % print_batch_step == 0 and dist.get_rank() == 0:
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# logger.info('tackling images for eval: {}/{}'.format(
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# idx, len(valid_dataloader)))
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# Get final metirc,eg. acc or hmean
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metirc = eval_class.get_metric()
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# pbar.close()
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pbar.close()
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model.train()
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metirc['fps'] = total_frame / total_time
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return metirc
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