I have a test_dataloader and it contains 14000 tensors. My test images are 28000 and I am taking batch = 2. I have a pre-trained model and now I am trying to test my existing model.
However, my testing.py output is showing negative floating point number but it must be positive integer number. Full code Github Link
Could tell me what I have to change?
final_output = []
for i, data in enumerate(test_data):
    data = data.unsqueeze(1)
    output = model(data).cpu().detach().numpy()
    data = None

    final_output.append(output)
result = np.concatenate(final_output)

print((result))

The output is like this:
[[-4.397916    0.7076113   2.1967683  ...  0.06060949 -2.8013513
 -8.800405  ]
[-3.533296   -3.1798646  -5.6163416  ... -4.7265635  -1.8589627
  0.5682605 ]
[-1.8575612   3.9310014  -4.122321   ... -1.2687542  -3.5150855
 -5.7542324 ]
...
[-8.762509   -8.240637   -2.7152536  ... -1.5188062  -5.932935
  2.6340218 ]
[-1.9312052  -2.675097   -2.2223709  ... -1.4572031  -8.078956
 -4.047556  ]
[-1.9931098  -2.840486   -3.620531   ... -2.5536153  -1.735633
 -2.317892  ]]

Any kind of suggestion is appreciable.