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[iter] user-tip for better perf (#8712)

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Alex Wu 2020-06-02 14:23:50 -07:00 • committed by GitHub
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doc/source/iter.rst
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@ -198,6 +198,11 @@ distributed training:
work = [train.remote(shard) for shard in it.shards()]
ray.get(work)
.. tip:: Using ParallelIterator built-in functions is typically most efficient.
For example, if you find yourself using list comprehensions like
``[foo(x) for x in iter.gather_async()]``, consider using
``iter.for_each(foo)`` instead!
API Reference
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