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A great job. Could you please help me with this?
Backbone # param.: 23561205 Learnable # param.: 2580968 Total # param.: 26142173
Total (trn) images are : 13680 [Epoch: 00] [Batch: 0001/0684] L: 0.68105 Avg L: 0.68105 mIoU: 0.00 | FB-IoU: 33.25 [Epoch: 00] [Batch: 0051/0684] L: 0.43134 Avg L: 0.49445 mIoU: 0.00 | FB-IoU: 37.79 [Epoch: 00] [Batch: 0101/0684] L: 0.35394 Avg L: 0.45320 mIoU: 6.28 | FB-IoU: 41.73 [Epoch: 00] [Batch: 0151/0684] L: 0.34036 Avg L: 0.43587 mIoU: 18.09 | FB-IoU: 48.10 [Epoch: 00] [Batch: 0201/0684] L: 0.29183 Avg L: 0.42005 mIoU: 24.74 | FB-IoU: 51.72 [Epoch: 00] [Batch: 0251/0684] L: 0.36972 Avg L: 0.40563 mIoU: 28.04 | FB-IoU: 53.82 [Epoch: 00] [Batch: 0301/0684] L: 0.37294 Avg L: 0.39855 mIoU: 30.98 | FB-IoU: 55.46 [Epoch: 00] [Batch: 0351/0684] L: 0.29182 Avg L: 0.39139 mIoU: 33.15 | FB-IoU: 56.81 [Epoch: 00] [Batch: 0401/0684] L: 0.43611 Avg L: 0.38447 mIoU: 34.84 | FB-IoU: 57.90 [Epoch: 00] [Batch: 0451/0684] L: 0.36160 Avg L: 0.37885 mIoU: 36.57 | FB-IoU: 58.90 [Epoch: 00] [Batch: 0501/0684] L: 0.32845 Avg L: 0.37381 mIoU: 37.72 | FB-IoU: 59.63 [Epoch: 00] [Batch: 0551/0684] L: 0.39814 Avg L: 0.37052 mIoU: 38.67 | FB-IoU: 60.23 [Epoch: 00] [Batch: 0601/0684] L: 0.27711 Avg L: 0.36641 mIoU: 39.54 | FB-IoU: 60.77 [Epoch: 00] [Batch: 0651/0684] L: 0.39666 Avg L: 0.36396 mIoU: 39.98 | FB-IoU: 61.05
*** Training [@epoch 00] Avg L: 0.36293 mIoU: 40.47 FB-IoU: 61.37 ***
Traceback (most recent call last): File "/home/liuxuanchen/Develop/cross-domain/PATNet/train.py", line 105, in val_loss, val_miou, val_fb_iou = train(epoch, model, dataloader_val, optimizer, training=False) File "/home/liuxuanchen/Develop/cross-domain/PATNet/train.py", line 47, in train average_meter.write_result('Training' if training else 'Validation', epoch) File "/home/liuxuanchen/Develop/cross-domain/PATNet/common/logger.py", line 61, in write_result loss_buf = torch.stack(self.loss_buf) RuntimeError: stack expects a non-empty TensorList
The text was updated successfully, but these errors were encountered:
Sorry. I just mistook fss dataset's filepath. It runs well.
Sorry, something went wrong.
It seems your validation set is missing. You need to check the path of your validation set.
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A great job. Could you please help me with this?
Backbone # param.: 23561205
Learnable # param.: 2580968
Total # param.: 26142173
available GPUs: 8
Total (trn) images are : 13680
[Epoch: 00] [Batch: 0001/0684] L: 0.68105 Avg L: 0.68105 mIoU: 0.00 | FB-IoU: 33.25
[Epoch: 00] [Batch: 0051/0684] L: 0.43134 Avg L: 0.49445 mIoU: 0.00 | FB-IoU: 37.79
[Epoch: 00] [Batch: 0101/0684] L: 0.35394 Avg L: 0.45320 mIoU: 6.28 | FB-IoU: 41.73
[Epoch: 00] [Batch: 0151/0684] L: 0.34036 Avg L: 0.43587 mIoU: 18.09 | FB-IoU: 48.10
[Epoch: 00] [Batch: 0201/0684] L: 0.29183 Avg L: 0.42005 mIoU: 24.74 | FB-IoU: 51.72
[Epoch: 00] [Batch: 0251/0684] L: 0.36972 Avg L: 0.40563 mIoU: 28.04 | FB-IoU: 53.82
[Epoch: 00] [Batch: 0301/0684] L: 0.37294 Avg L: 0.39855 mIoU: 30.98 | FB-IoU: 55.46
[Epoch: 00] [Batch: 0351/0684] L: 0.29182 Avg L: 0.39139 mIoU: 33.15 | FB-IoU: 56.81
[Epoch: 00] [Batch: 0401/0684] L: 0.43611 Avg L: 0.38447 mIoU: 34.84 | FB-IoU: 57.90
[Epoch: 00] [Batch: 0451/0684] L: 0.36160 Avg L: 0.37885 mIoU: 36.57 | FB-IoU: 58.90
[Epoch: 00] [Batch: 0501/0684] L: 0.32845 Avg L: 0.37381 mIoU: 37.72 | FB-IoU: 59.63
[Epoch: 00] [Batch: 0551/0684] L: 0.39814 Avg L: 0.37052 mIoU: 38.67 | FB-IoU: 60.23
[Epoch: 00] [Batch: 0601/0684] L: 0.27711 Avg L: 0.36641 mIoU: 39.54 | FB-IoU: 60.77
[Epoch: 00] [Batch: 0651/0684] L: 0.39666 Avg L: 0.36396 mIoU: 39.98 | FB-IoU: 61.05
*** Training [@epoch 00] Avg L: 0.36293 mIoU: 40.47 FB-IoU: 61.37 ***
Traceback (most recent call last):
File "/home/liuxuanchen/Develop/cross-domain/PATNet/train.py", line 105, in
val_loss, val_miou, val_fb_iou = train(epoch, model, dataloader_val, optimizer, training=False)
File "/home/liuxuanchen/Develop/cross-domain/PATNet/train.py", line 47, in train
average_meter.write_result('Training' if training else 'Validation', epoch)
File "/home/liuxuanchen/Develop/cross-domain/PATNet/common/logger.py", line 61, in write_result
loss_buf = torch.stack(self.loss_buf)
RuntimeError: stack expects a non-empty TensorList
The text was updated successfully, but these errors were encountered: