Add OneDiffCheckpointLoader #457
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doombeaker
reviewed
Dec 26, 2023
Co-authored-by: Yao Chi <later@usopp.net>
Co-authored-by: Yao Chi <later@usopp.net>
doombeaker
approved these changes
Dec 26, 2023
strint
reviewed
Dec 26, 2023
| *, | ||
| use_graph=True, | ||
| options={}, | ||
| graph_path=None, |
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这些放到 options 里面吧，oneflow_compile 要谨慎扩展参数
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好的就是传入 options = { "graph_config": (graph_path, graph_device)} 这种吗 还是 options = { "graph_path":graph_path, "graph_device":graph_device}
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graph_file, graph_file_device
strint
reviewed
Dec 26, 2023
| return | ||
| graph_device = torch2oflow(self._graph_config[1]) | ||
| self.load_graph(graph_path, graph_device) | ||
| self._graph_config = None |
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_graph_config 这个命名改准确一点吧，太宽泛了
strint
reviewed
Dec 26, 2023
| def handle_deployable_exception(func): | ||
| @wraps(func) | ||
| def wrapper(self, *args, **kwargs): | ||
| def _run_func(): | ||
| load_graph_from_config(self) |
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这个功能单独写个 decorator ？ 放到 handle_deployable_exception 感觉不合适
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使用 OneDiffCheckpointLoader 避免用户 手动指定使用保存的 graph。
如下图避免用户使用 画红框的节点 ，引发不必要的麻烦。