Use lazy loading automatically if a config file exists for the model
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@ -1080,8 +1080,9 @@ if(not vars.model in ["InferKit", "Colab", "OAI", "ReadOnly", "TPUMeshTransforme
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return lazy_load_callback
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if(vars.lazy_load and "model_config" in globals() and vars.model_type in ("gpt_neo", "gptj", "xglm")):
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with open(os.path.join(path.dirname(path.realpath(__file__)), "maps", vars.model_type + ".json")) as f:
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lazy_load_config_path = os.path.join(path.dirname(path.realpath(__file__)), "maps", vars.model_type + ".json")
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if(vars.lazy_load and "model_config" in globals() and os.path.isfile(lazy_load_config_path)):
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with open(lazy_load_config_path) as f:
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lazy_load_spec = json.load(f)
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else:
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