add materialization counter #333
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inducer
reviewed
Jun 1, 2022
| @@ -426,3 +429,27 @@ def get_num_tags_of_type( | |||
| return tcm(outputs) | |||
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| # }}} | |||
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| def get_num_materialized(outputs: Union[Array, DictOfNamedArrays]) \ | |||
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Suggested change
| def get_num_materialized(outputs: Union[Array, DictOfNamedArrays]) \ | |
| def get_num_materialized_predecessors(outputs: Union[Array, DictOfNamedArrays]) \ |
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| def is_materialized(expr: ArrayOrNames) -> bool: | ||
| if (isinstance(expr, Array) and | ||
| any(isinstance(tag, ImplStored) for tag in expr.tags)): |
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Suggested change
| any(isinstance(tag, ImplStored) for tag in expr.tags)): | |
| expr.tags_of_type(ImplStored)): |
| @@ -426,3 +429,27 @@ def get_num_tags_of_type( | |||
| return tcm(outputs) | |||
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| # }}} | |||
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| def get_num_materialized(outputs: Union[Array, DictOfNamedArrays]) \ | |||
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My main issue with this approach is that it has at least quadratic complexity. A possible improvement would be a CombineMapper that simply counts the materialized predecessors for each node. I.e. combine is a sum, and each node returns 1 if it's materialized and uses inherited behavior (reduce ("combine") over predecessors).
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