save

app.py

@@ -23,7 +23,7 @@ def compute(dim):
         my_bar.progress(idx[0]/iters)
     my_bar.progress(100)
     samples = np.delete(np.array(api.model.sample(torch.tensor(api.scaled).float()).detach()),np.argmin(np.array(api.model.sample(torch.tensor(api.scaled).float()).detach()),axis=0),0)
-    samples = np.delete(samples,np.argmax(samples,axis=0),0)
+    # samples = np.delete(samples,np.argmax(samples,axis=0),0)