shufflenetv2-tensorflow2.0
if __name__ == '__main__': model = ShufflenetV2(num_classes=1, training=False) x = tf.random.uniform((2, 224,224, 3)) for ind in range(10000): y = model(x) model.build((1,224,224,3)) model.summary()
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