def METHOD_NAME(self):
    """ Verify inception_v3 """
    model = models.inception_v3().eval().cuda()
    prepared_model = prepare_model(model)
    print(prepared_model)
    input_shape = (1, 3, 299, 299)
    dummy_input = torch.randn(*input_shape).cuda()
    # Verify bit-exact outputs.
    assert torch.equal(prepared_model(dummy_input), model(dummy_input))
    # Verify that validator checks pass.
    assert ModelValidator.validate_model(prepared_model, dummy_input)
    # Verify with Quantization workflow.
    quant_sim = QuantizationSimModel(prepared_model, dummy_input=dummy_input)
    quant_sim.compute_encodings(evaluate, dummy_input)
    quant_sim.model(dummy_input)