remove unused variables in cifar10_cnn (#6112)
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@ -20,11 +20,6 @@ num_classes = 10
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epochs = 200
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data_augmentation = True
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# input image dimensions
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img_rows, img_cols = 32, 32
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# The CIFAR10 images are RGB.
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img_channels = 3
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# The data, shuffled and split between train and test sets:
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(x_train, y_train), (x_test, y_test) = cifar10.load_data()
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print('x_train shape:', x_train.shape)
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