def get_model(channels_last=False, ipex_optimize=False, compile=False):
    model = torchvision.models.resnet50()

    if channels_last:
        model= model.to(memory_format=torch.channels_last)

    model = model.eval()

    if ipex_optimize:
        model = ipex.optimize(model, dtype=torch.bfloat16)

    if compile:
        model = torch.compile(model)

    return model