why is this train script so weird

1 files changed, 4 insertions, 5 deletions

diff --git a/train.py b/train.py
index 15f0e37..c2f7ae1 100755
--- a/train.py
+++ b/train.py
@@ -111,11 +111,10 @@ for epoch in range(start_epoch, start_epoch + opt.niter):
           (epoch, opt.niter + opt.niter_decay, time.time() - epoch_start_time))
 
     ### save model for this epoch
-    if epoch % opt.save_epoch_freq == 0:
-        print('saving the model at the end of epoch %d, iters %d' % (epoch, total_steps))        
-        model.module.save('latest')
-        model.module.save(epoch)
-        np.savetxt(iter_path, (epoch+1, 0), delimiter=',', fmt='%d')
+    print('saving the model at the end of epoch %d, iters %d' % (epoch, total_steps))        
+    model.module.save('latest')
+    model.module.save(epoch)
+    np.savetxt(iter_path, (epoch+1, 0), delimiter=',', fmt='%d')
 
     ### instead of only training the local enhancer, train the entire network after certain iterations
     # if (opt.niter_fix_global != 0) and (epoch == opt.niter_fix_global):