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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/09/23 00:23:29 UTC
[GitHub] [incubator-mxnet] Zha0q1 opened a new issue #19211: Numpy resize falls back to python custom op implementation
Zha0q1 opened a new issue #19211:
URL: https://github.com/apache/incubator-mxnet/issues/19211
np.resize relies on mxnet python custom ops to fall back to the authentic numpy.resize. Do we have plan to update it since python custom operators are to be deprecated in 2.0?
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[GitHub] [incubator-mxnet] szha commented on issue #19211: Numpy resize falls back to python custom op implementation
Posted by GitBox <gi...@apache.org>.
szha commented on issue #19211:
URL: https://github.com/apache/incubator-mxnet/issues/19211#issuecomment-697987784
@xidulu We are deprecating the custom op frontend in favor of the autograd.Function. Underneath, it shares the same custom op executor. There's no planned change of the backend of custom op.
The numpy fallback ops look straightforward to be adapted to autograd.Function.
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[GitHub] [incubator-mxnet] xidulu commented on issue #19211: Numpy resize falls back to python custom op implementation
Posted by GitBox <gi...@apache.org>.
xidulu commented on issue #19211:
URL: https://github.com/apache/incubator-mxnet/issues/19211#issuecomment-697162390
@szha
Python custom op are going to be deprecated in 2.0? That could be a big issue, since Ops in https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/numpy_op_fallback.py all rely on the fallback mechanism.
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