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@@ -113,7 +113,8 @@ def get_normlime_interpreter(img, model, dataset, num_samples=3000, batch_size=5
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root_path = osp.join(root_path, '.paddlex')
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pre_models_path = osp.join(root_path, "pre_models")
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if not osp.exists(pre_models_path):
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- os.makedirs(root_path)
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+ if not osp.exists(root_path):
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+ os.makedirs(root_path)
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url = "https://bj.bcebos.com/paddlex/interpret/pre_models.tar.gz"
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pdx.utils.download_and_decompress(url, path=root_path)
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npy_dir = precompute_for_normlime(precompute_predict_func,
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sunyanfang01