14ff5175181e680d75b8d4ad6fe0d7d4dd35beff,keras/applications/nasnet.py,,NASNet,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,69

Before Change

            model.load_weights(weights_file)

        elif default_size == 331:  // large version
            if include_top:
                weight_path = NASNET_LARGE_WEIGHT_PATH
                model_name = "nasnet_large.h5"
            else:
                weight_path = NASNET_LARGE_WEIGHT_PATH_NO_TOP
                model_name = "nasnet_large_no_top.h5"

            weights_file = get_file(model_name, weight_path,
                                    cache_subdir="models")
            model.load_weights(weights_file)
        else:

After Change

    // load weights
    if weights == "imagenet":
        if default_size == 224:  // mobile version
            if include_top:
                weights_path = get_file(
                    "nasnet_mobile.h5",
                    NASNET_MOBILE_WEIGHT_PATH,
                    cache_subdir="models",
                    file_hash="020fb642bf7360b370c678b08e0adf61")
            else:
                weights_path = get_file(
                    "nasnet_mobile_no_top.h5",
                    NASNET_MOBILE_WEIGHT_PATH_NO_TOP,
                    cache_subdir="models",
                    file_hash="1ed92395b5b598bdda52abe5c0dbfd63")
            model.load_weights(weights_path)
        elif default_size == 331:  // large version
            if include_top:
                weights_path = get_file(

Instances