code/train.py
@@ -190,7 +190,7 @@ if epoch % 1 == 0 and epoch < num_epochs - 1: print 'Taking snapshot...' torch.save(model.state_dict(), 'output/snapshots/resnet50_norm_norot_epoch_'+ str(epoch+1) + '.pkl') 'output/snapshots/resnet50_norm_30rot_epoch_'+ str(epoch+1) + '.pkl') # Save the final Trained Model torch.save(model.state_dict(), 'output/snapshots/resnet50_norm_norot_epoch_' + str(epoch+1) + '.pkl') torch.save(model.state_dict(), 'output/snapshots/resnet50_norm_30rot_epoch_' + str(epoch+1) + '.pkl')