Hello while I was training the autoenconder I encoder this error message shown below:
Have you ever encountered this error while training?
. . . Epoch: [0][0/361] Batch Time: 0.202 (0.202) sec Loss: 0.05724537745118141 Traceback (most recent call last): File "main2.py", line 489, in <module> main() File "main2.py", line 294, in main valid_loss, _, _ = validation(test_loader,model,epoch,args,chamfer,vis_Valid,vis_Valida,valid_writer) File "main2.py", line 407, in validation vis_Valid.plot_current_errors(epoch, float(i) / epoch_size, args, errors) File "/home/paolo/Documents/Git/RL-GAN-Net/visualizer.py", line 79, in plot_current_errors win=self.display_id) File "/home/paolo/anaconda3/envs/rlgan-venv/lib/python3.7/site-packages/visdom/__init__.py", line 389, in wrapped_f return f(*args, **kwargs) File "/home/paolo/anaconda3/envs/rlgan-venv/lib/python3.7/site-packages/visdom/__init__.py", line 1694, in line assert X.shape == Y.shape, 'X and Y should be the same shape' AssertionError: X and Y should be the same shape
Hello while I was training the autoenconder I encoder this error message shown below:
Have you ever encountered this error while training?
. . . Epoch: [0][0/361] Batch Time: 0.202 (0.202) sec Loss: 0.05724537745118141 Traceback (most recent call last): File "main2.py", line 489, in <module> main() File "main2.py", line 294, in main valid_loss, _, _ = validation(test_loader,model,epoch,args,chamfer,vis_Valid,vis_Valida,valid_writer) File "main2.py", line 407, in validation vis_Valid.plot_current_errors(epoch, float(i) / epoch_size, args, errors) File "/home/paolo/Documents/Git/RL-GAN-Net/visualizer.py", line 79, in plot_current_errors win=self.display_id) File "/home/paolo/anaconda3/envs/rlgan-venv/lib/python3.7/site-packages/visdom/__init__.py", line 389, in wrapped_f return f(*args, **kwargs) File "/home/paolo/anaconda3/envs/rlgan-venv/lib/python3.7/site-packages/visdom/__init__.py", line 1694, in line assert X.shape == Y.shape, 'X and Y should be the same shape' AssertionError: X and Y should be the same shape