example/multi_threaded_inference/get_model.py

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import logging
import argparse
import mxnet as mx
import gluoncv


models = ["imagenet1k-inception-bn", "imagenet1k-resnet-50",
          "imagenet1k-resnet-152", "imagenet1k-resnet-18"]

def main():
    logging.basicConfig()
    logger = logging.getLogger("logger")
    logger.setLevel(logging.INFO)
    parser = argparse.ArgumentParser(description='Download model hybridize and save as symbolic model for multithreaded inference')
    parser.add_argument("--model", type=str, choices=models, required=True)
    args = parser.parse_args()

    mx.test_utils.download_model(args.model)

if __name__ == "__main__":
    main()