Update input_preprocess.py

input_preprocess.py

@@ -41,8 +41,6 @@ def tokenizer(selected_scenario_names=None, manual_data=None, gen_raw=True):
         preprocessed_data, sequence_length, element_length: Preprocessed data and related dimensions.
     """
 
-    set_random_seed()
-    
     if manual_data is not None:
         patches = patch_maker(np.expand_dims(np.array(manual_data), axis=1))
         #patches = patch_maker(torch.tensor(manual_data, dtype=torch.complex64).unsqueeze(1))