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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/08/14 07:21:44 UTC
[GitHub] [incubator-mxnet] sxjscience opened a new issue #18922: [Random] Expose the random state
sxjscience opened a new issue #18922:
URL: https://github.com/apache/incubator-mxnet/issues/18922
Exposing the RandomState is quite crucial for implementing many techniques like gradient check-pointing and reversible networks, e.g., https://github.com/lucidrains/routing-transformer/blob/master/routing_transformer/reversible.py#L59-L63, which is not possible with the current MXNet.
Thus, we'd better to expose the RandomState so that we can implement these models.
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[GitHub] [incubator-mxnet] bricksdont commented on issue #18922: [Random] Expose the random state
Posted by GitBox <gi...@apache.org>.
bricksdont commented on issue #18922:
URL: https://github.com/apache/incubator-mxnet/issues/18922#issuecomment-722584205
Does this mean that it would be possible to save and load (set) the exact state of a random generator, as opposed to only being able to set an initial seed?
This would be great to have, also for debugging purposes. For instance, a bug that I opened:
https://github.com/apache/incubator-mxnet/issues/19073
could be debugged if the random state itself could be saved and loaded.
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[GitHub] [incubator-mxnet] szha commented on issue #18922: [Random] Expose the random state
Posted by GitBox <gi...@apache.org>.
szha commented on issue #18922:
URL: https://github.com/apache/incubator-mxnet/issues/18922#issuecomment-673936643
On the same note, NumPy recently revamped the random state implementation https://numpy.org/doc/stable/reference/random/index.html#what-s-new-or-different
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[GitHub] [incubator-mxnet] szha commented on issue #18922: [Random] Expose the random state
Posted by GitBox <gi...@apache.org>.
szha commented on issue #18922:
URL: https://github.com/apache/incubator-mxnet/issues/18922#issuecomment-673935898
cc @yzhliu for suggestions
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