def test_crop_simple(self):
input_shape = (48, 48, 3)
model = Sequential()
model.add(Cropping2D(cropping=((2,5),(2,5)),input_shape=input_shape))
# Set some random weights
model.set_weights([np.random.rand(*w.shape) for w in model.get_weights()])
# Get the coreml model
self._test_keras_model(model)
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