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I tried to run the code. The training loop ran smoothly. However, it seems that there is a bug at the test phase
Reproduce
Clone the repository and ran the main python file
python main.py
20 sparse dataset loaded.
test ...
Traceback (most recent call last):
File "main.py", line 47, in <module>
runner.run(MyTrainer, MyDataset)
File "/usr/local/lib/python3.7/dist-packages/easytorch/easytorch.py", line 286, in run
self._run(trainer_cls, dataset_cls, data_handle_cls)
File "/usr/local/lib/python3.7/dist-packages/easytorch/easytorch.py", line 328, in _run
test_accum.append(self._test(split_file, trainer, test_dataset))
File "/usr/local/lib/python3.7/dist-packages/easytorch/easytorch.py", line 270, in _test
test_out = trainer.evaluation(mode='test', save_pred=True, distributed=False, dataset=test_dataset)
File "/usr/local/lib/python3.7/dist-packages/easytorch/trainer.py", line 287, in evaluation
update_scores(self.save_predictions(loader.dataset, its), its, avg, metrics)
File "/content/unet-vessel-segmentation-easytorch/classification.py", line 118, in save_predictions
patches = its['output']()[:, 1, :, :].cpu().numpy() * 255
TypeError: 'Tensor' object is not callable
The text was updated successfully, but these errors were encountered:
I tried to run the code. The training loop ran smoothly. However, it seems that there is a bug at the test phase
Reproduce
Clone the repository and ran the main python file
The text was updated successfully, but these errors were encountered: