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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/03/16 15:11:45 UTC
[GitHub] [incubator-mxnet] omermun opened a new issue #17847: working with
mxnet=1.3.1,
upgrading numpy version from 1.14.5 to 1.17.1 causes memory issues
omermun opened a new issue #17847: working with mxnet=1.3.1, upgrading numpy version from 1.14.5 to 1.17.1 causes memory issues
URL: https://github.com/apache/incubator-mxnet/issues/17847
I am working on Ubuntu 18.04.2 LTS machine, with mxnet==1.3.1 and numpy==1.14.5 installed.
Upgrading numpy version from 1.14.5 to 1.17.1 causes severe memory issues.
#data is from type mxnet.ndarray.NDArray
data = data.asnumpy()
data2 = data.copy()
the code takes significantly more memory with numpy==1.17.1 than it does with numpy==1.14.5,
which causes my program to crash from memory overflow.
upgrading mxnet from version 1.3.1 to 1.5.0 makes no difference.
can you please advice?
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[GitHub] [incubator-mxnet] leezu commented on issue #17847: working with
mxnet=1.3.1,
upgrading numpy version from 1.14.5 to 1.17.1 causes memory issues
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #17847: working with mxnet=1.3.1, upgrading numpy version from 1.14.5 to 1.17.1 causes memory issues
URL: https://github.com/apache/incubator-mxnet/issues/17847#issuecomment-599696673
So this only happens with numpy arrays that originate from mxnet?
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[GitHub] [incubator-mxnet] omermun commented on issue #17847: working with
mxnet=1.3.1,
upgrading numpy version from 1.14.5 to 1.17.1 causes memory issues
Posted by GitBox <gi...@apache.org>.
omermun commented on issue #17847: working with mxnet=1.3.1, upgrading numpy version from 1.14.5 to 1.17.1 causes memory issues
URL: https://github.com/apache/incubator-mxnet/issues/17847#issuecomment-599704581
Yes.
On Mon, Mar 16, 2020, 20:34 Leonard Lausen <no...@github.com> wrote:
> So this only happens with numpy arrays that originate from mxnet?
>
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