import mxnet as mx

pretrained_net = mx.gluon.model_zoo.vision.get_model(name='inceptionv3', pretrained=True, classes=1000, prefix='aligcroc_')
net = mx.gluon.model_zoo.vision.get_model(name='inceptionv3', classes=2, prefix='aligcroc_')
net.features = pretrained_net.features
net.output.initialize()

batch_size = 1
channels = 3
height = width = 299
data_batch = mx.ndarray.random.normal(shape=(batch_size, channels, height, width))
net(data_batch)