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Sunhil commented on issue #17826:
URL:
https://github.com/apache/incubator-mxnet/issues/17826#issuecomment-655232370
Have you solved the problem? If you have soled the problem, Clould you show
the solution? I have the same question, Thanks a lot!
-
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xcgoner opened a new issue #18669:
URL: https://github.com/apache/incubator-mxnet/issues/18669
## Description
In the implementation of ZoneoutCell:
https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/rnn/rnn_cell.py
The output and states are using 2 differe
ys2843 commented on issue #18566:
URL:
https://github.com/apache/incubator-mxnet/issues/18566#issuecomment-655167581
## Introduction
MXNet Numpy website hosts essential documents about the usage of MXNet APIs,
it is important to share these contents with all MXNet community and new
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leezu merged pull request #18661:
URL: https://github.com/apache/incubator-mxnet/pull/18661
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nikudyshko opened a new issue #18668:
URL: https://github.com/apache/incubator-mxnet/issues/18668
## Description
While creating a neural network with MXNet cpp-api, if set `dtype` of know
args to `1 (corresponds float64)`, `InferArgsMap` will not transfer this type
to infered args. Thi
andrei5055 edited a comment on pull request #18582:
URL: https://github.com/apache/incubator-mxnet/pull/18582#issuecomment-654937596
**Please, for now ignore graphs for CPU and CPU_PINNED memory. I am not sure
why, but I don't see 2x run time improvement for newly implemented Pooled
Storag
andrei5055 edited a comment on pull request #18582:
URL: https://github.com/apache/incubator-mxnet/pull/18582#issuecomment-654937596
**Please, for now ignore graphs for CPU and CPU_PINNED memory. I am not sure
why, but I don't see 2x run time improvement for newly implemented Pooled
Storag
andrei5055 edited a comment on pull request #18582:
URL: https://github.com/apache/incubator-mxnet/pull/18582#issuecomment-654562254
Here is first graph for GPU Storage Managers:
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szha commented on a change in pull request #18582:
URL: https://github.com/apache/incubator-mxnet/pull/18582#discussion_r451039888
##
File path: src/storage/cpu_device_storage.h
##
@@ -63,15 +60,12 @@ class CPUDeviceStorage {
}; // class CPUDeviceStorage
inline void CPUDev
leezu commented on issue #18667:
URL:
https://github.com/apache/incubator-mxnet/issues/18667#issuecomment-655028589
The Intel x86 and AMD64 / x86-64 series of processors use the little-endian
format whereas s390x architecture uses big-endian format. Current MXNet
parameter serialization f
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zhasheng pushed a change to branch master
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from 54c0155 User Feedback Widget (#18639)
add b4b8b80 Gluon.probability (#18403)
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add b4b8b80 Gluon.probability (#18403)
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szha merged pull request #18403:
URL: https://github.com/apache/incubator-mxnet/pull/18403
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ys2843 edited a comment on pull request #18664:
URL: https://github.com/apache/incubator-mxnet/pull/18664#issuecomment-653923786
@mxnet-label-bot add [Website]
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i55code commented on issue #18657:
URL:
https://github.com/apache/incubator-mxnet/issues/18657#issuecomment-654954107
Thank you @DickJC123 !
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andrei5055 commented on pull request #18582:
URL: https://github.com/apache/incubator-mxnet/pull/18582#issuecomment-654943614
(Here we do have only three lines, because the Poole
andrei5055 commented on pull request #18582:
URL: https://github.com/apache/incubator-mxnet/pull/18582#issuecomment-654937596
(Here we do have only three lines, because the Poole
Masquerade0097 opened a new issue #18667:
URL: https://github.com/apache/incubator-mxnet/issues/18667
## Description
I'm working on enabling MXNet on IBM Z (s390x architecture) machines. I
successfully installed MXNet on s390x but encountered the following error while
trying to use it.
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chinakook commented on pull request #18055:
URL: https://github.com/apache/incubator-mxnet/pull/18055#issuecomment-654823984
It's a great job!
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RuRo commented on pull request #18055:
URL: https://github.com/apache/incubator-mxnet/pull/18055#issuecomment-654778673
@VisionZQ This PR currently has WIP status (it's not ready) and it's main
purpose was to implement the needed ops to convert `SSD` models from `mxnet` to
`ONNX`. There's
fhieber commented on issue #18662:
URL:
https://github.com/apache/incubator-mxnet/issues/18662#issuecomment-654711227
Lowering the batch size should definitely allow you to train a model. You
could also try lowering the size of the model `--transformer-model-size` and
`--num-embed`, or re
VisionZQ commented on pull request #18055:
URL: https://github.com/apache/incubator-mxnet/pull/18055#issuecomment-654706877
Hi,
Thanks for you kindness.
We have converted the mxnet to onnx 1.5, and the 'slice_like' is work.
But, When I from onnx convert to TensorRT6.0, the program
tranvanhoa533 commented on issue #18659:
URL:
https://github.com/apache/incubator-mxnet/issues/18659#issuecomment-654648681
Thanks @leezu . It seems very complicated.
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