update
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@ -69,7 +69,7 @@ for epoch in range(EPOCH):
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test_output = cnn(test_x)
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# !!!!!!!! Change in here !!!!!!!!! #
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pred_y = torch.max(test_output, 1)[1].cuda().data.squeeze() # Move to CPU
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pred_y = torch.max(test_output, 1)[1].cuda().data.squeeze() # move the computation in GPU
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accuracy = sum(pred_y == test_y) / test_y.size(0)
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print('Epoch: ', epoch, '| train loss: %.4f' % loss.data[0], '| test accuracy: %.2f' % accuracy)
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@ -78,7 +78,7 @@ for epoch in range(EPOCH):
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test_output = cnn(test_x[:10])
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# !!!!!!!! Change in here !!!!!!!!! #
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pred_y = torch.max(test_output, 1)[1].cuda().data.squeeze() # Move to CPU
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pred_y = torch.max(test_output, 1)[1].cuda().data.squeeze() # move the computation in GPU
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print(pred_y, 'prediction number')
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print(test_y[:10], 'real number')
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