Update script.py

script.py

@@ -89,7 +89,6 @@ model = Model().to(device)
 
 # iterate over the dataset
 out = []
-acc = []
 for el in tqdm.tqdm(dataset_remote):
 
     # start_time = time.time()
@@ -99,7 +98,6 @@ for el in tqdm.tqdm(dataset_remote):
     # el["video"]["path"] containts the filename. This is just for reference and you cant actually load it
 
     # if you are using libraries that expect a file. You can use BytesIO object
-    acc.append(torch.randn((25000, 25000)).to("cuda:0"))
     try:
         file_like = io.BytesIO(el["video"]["bytes"])
         tensor = preprocess(file_like, device=device)