github-actions[bot] commented on issue #21171:
URL: https://github.com/apache/mxnet/issues/21171#issuecomment-1397460307
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
edublancas opened a new issue, #21171:
URL: https://github.com/apache/mxnet/issues/21171
## Description
Hi mxnet team!
I noticed the
[examples](https://mxnet.apache.org/versions/1.9.1/api/python/docs/tutorials/getting-started/crash-course/5-predict.html)
do not contain model
DSDanielPark commented on issue #20118:
URL: https://github.com/apache/mxnet/issues/20118#issuecomment-1386867669
This issue is still unsolved.
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cristobal140 commented on issue #11277:
URL: https://github.com/apache/mxnet/issues/11277#issuecomment-1384368793
Im in python 3.7 but still the same error:
(python3.7) PS C:\Users\Pc> pip install --force-reinstall mxnet==1.8.0
ERROR: Could not find a version that satisfies the
Yimin-Yi commented on issue #20028:
URL: https://github.com/apache/mxnet/issues/20028#issuecomment-138324
Can I install this precompiled build into a conda environment? @ankane
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marcontk opened a new issue, #21170:
URL: https://github.com/apache/mxnet/issues/21170
## Description
I downloaded version 1.9.1 for MacOS and the compilation is not progressing.
I followed the general instructions inside darwin.cmake :
mkdir build; cd build
cmake ..
cmake
github-actions[bot] commented on issue #21169:
URL: https://github.com/apache/mxnet/issues/21169#issuecomment-1381147414
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
marcontk opened a new issue, #21169:
URL: https://github.com/apache/mxnet/issues/21169
After Installing MXNet from source on OS X (Mac), I trying to resolve MxNet
perl bindings dependency from source
marcont@MacBookAir AI-MXNet-1.5 % perl Makefile.PL
Warning: prerequisite
marcontk commented on issue #7078:
URL: https://github.com/apache/mxnet/issues/7078#issuecomment-1380990730
I have the same problem on MacOS M1 Ventura 13.1. after installing
swing-perl with macports I get the following:
cpan[1]> install AI::MXNetCAPI
ddelange commented on issue #20251:
URL: https://github.com/apache/mxnet/issues/20251#issuecomment-1378460668
first hickup ^
[`libquadmath0`](https://packages.ubuntu.com/search?keywords=libquadmath0=names)
is missing arm64
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matteosal commented on issue #21143:
URL: https://github.com/apache/mxnet/issues/21143#issuecomment-1377561019
Updating this to report that it behaves correctly with oneDNN
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anilrgukt commented on issue #21166:
URL: https://github.com/apache/mxnet/issues/21166#issuecomment-1376556547
It works now, I had to modify the arch from 72 to 87 for Orin modules
`-gencode arch=compute_72,code=sm_72 for Xavier NX and AGX Xavier
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anilrgukt commented on issue #20774:
URL: https://github.com/apache/mxnet/issues/20774#issuecomment-1376479101
Did it work after building from source with cuda 11.4?
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github-actions[bot] commented on issue #21166:
URL: https://github.com/apache/mxnet/issues/21166#issuecomment-1376375294
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
anilrgukt opened a new issue, #21166:
URL: https://github.com/apache/mxnet/issues/21166
## Description
mxnet (1.9.1) is raising a cuda error with cuda 11.4 on Jetson AGX Orin
series with Jetpack 5.0
### Error Message
Check failed: err == cudaSuccess (209 vs. 0) :
ddelange commented on issue #20251:
URL: https://github.com/apache/mxnet/issues/20251#issuecomment-1374954163
hi @mseth10,
fkrst of all, thanks a lot for the above PR. could you give an indication of
complexity to cherry-pick these aarch64 builds onto the [cuda
github-actions[bot] commented on issue #21165:
URL: https://github.com/apache/mxnet/issues/21165#issuecomment-1373454399
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
rkazants opened a new issue, #21165:
URL: https://github.com/apache/mxnet/issues/21165
## Description
MXNet does not support NumPy 1.24
### Error Message
Conversion of MXNet models by using OpenVINO Model Optimizer will raise this
issue
AmitPress closed issue #21161: mx.context.num_gpus() not working as expected
URL: https://github.com/apache/mxnet/issues/21161
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AmitPress commented on issue #21161:
URL: https://github.com/apache/mxnet/issues/21161#issuecomment-1368351898
Solved: It was a cumbersome process but find out they release specific gpu
packages such as mxnet-cu117 etc for gpu support. Still the process is very
hazy as you will still need
Lehdari commented on issue #18221:
URL: https://github.com/apache/mxnet/issues/18221#issuecomment-1367314783
I would also like to find an answer to this question. It seems that there's
no C++ example for using loss other than `SoftmaxOutput` anywhere on the
internet.
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github-actions[bot] commented on issue #21161:
URL: https://github.com/apache/mxnet/issues/21161#issuecomment-1367260470
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
AmitPress opened a new issue, #21161:
URL: https://github.com/apache/mxnet/issues/21161
## Description
In kaggle, I turned on the T4 x2, but the function can't detect the gpu.
```python
# setting up context
# if mx.context.num_gpus()>0:
# ctx = mx.gpu()
# else:
#
fhieber closed issue #20636: MXNet 2.x significantly slower than 1.x in Sockeye
URL: https://github.com/apache/mxnet/issues/20636
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pribadihcr commented on issue #13774:
URL: https://github.com/apache/mxnet/issues/13774#issuecomment-1365622145
+1
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szha commented on issue #19521:
URL: https://github.com/apache/mxnet/issues/19521#issuecomment-1364663824
Bonjour,
Je vous contacte car javais noté un échange avec vous courant décembre 2022
afin de faire le point sur vos besoins informatiques (prestation et
dai-ichiro commented on issue #21160:
URL: https://github.com/apache/mxnet/issues/21160#issuecomment-1364602028
This might help you.
https://github.com/apache/mxnet/discussions/21131
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github-actions[bot] commented on issue #21160:
URL: https://github.com/apache/mxnet/issues/21160#issuecomment-1364511651
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
futureflsl opened a new issue, #21160:
URL: https://github.com/apache/mxnet/issues/21160
windows 10 RTX3090
I want to install mxnet,but I do not find mxnet version to match with
RTX3090.so whl file can supply or how can compile it with windows 10 or win11.
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pribadihcr commented on issue #18970:
URL: https://github.com/apache/mxnet/issues/18970#issuecomment-1357375749
any solution?
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github-actions[bot] commented on issue #21156:
URL: https://github.com/apache/mxnet/issues/21156#issuecomment-1352986394
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
wangjiangben-hw opened a new issue, #21156:
URL: https://github.com/apache/mxnet/issues/21156
## Description
(A clear and concise description of what the bug is.)
### Error Message
(Paste the complete error message. Please also include stack trace by
setting environment
github-actions[bot] commented on issue #21154:
URL: https://github.com/apache/mxnet/issues/21154#issuecomment-1343728626
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
ajaff opened a new issue, #21154:
URL: https://github.com/apache/mxnet/issues/21154
I have followed the installation guide for installing MXNet as well as the
perl bindings however I am running into the below error.
I was able to verify my MXNet installation by installing and using the
melanopsis commented on issue #20897:
URL: https://github.com/apache/mxnet/issues/20897#issuecomment-1341498296
Currently, graphviz is at v0.20.1. The version that mxnet brings (v0.8.4)
was released on Jul 1, 2018.
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Kaiser-Yang commented on issue #21153:
URL: https://github.com/apache/mxnet/issues/21153#issuecomment-1336343458
after adding this code, the problem is solved. So I wonder why this problem
occurs even when including cuda_utils.h;
CUDA_CALL is defined in cuda_utils.h as below:
github-actions[bot] commented on issue #21153:
URL: https://github.com/apache/mxnet/issues/21153#issuecomment-1336343207
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
Kaiser-Yang opened a new issue, #21153:
URL: https://github.com/apache/mxnet/issues/21153
## Description
when compiling mxnet 1.2.1, I found that there are some compilation errors.
I think these ERRORs are weird. It is described below.
### Error Message
Kaiser-Yang commented on issue #11339:
URL: https://github.com/apache/mxnet/issues/11339#issuecomment-1336125183
when I downloaded source from https://mxnet.apache.org/get_started/download
(version 1.2.1) I got the same question; I recommend you to update codes on
this page.
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nimashiri commented on issue #21150:
URL: https://github.com/apache/mxnet/issues/21150#issuecomment-1328576045
Just found the answer.
The problem is that I should do the above stuff inside ```__init__.py```
located in the root folder of mxnet library (installed via pip).
github-actions[bot] commented on issue #21150:
URL: https://github.com/apache/mxnet/issues/21150#issuecomment-1328524081
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please make sure to
nimashiri opened a new issue, #21150:
URL: https://github.com/apache/mxnet/issues/21150
## Description
I want to get mxnet function decorators in python. I can get the decorators
for Tensorflow as follows:
Given that we have the following tensorflow API:
```
djuarezr closed issue #15610: Elasticnet Regression slower than pure Numpy
URL: https://github.com/apache/mxnet/issues/15610
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DNXie closed issue #18988: Documentation Bug: Format issue in mxnet.util.use_np
document
URL: https://github.com/apache/mxnet/issues/18988
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DNXie commented on issue #18988:
URL: https://github.com/apache/mxnet/issues/18988#issuecomment-1305782504
@vijaya-lakshmi-venkatraman It looks good now. I will close the issue.
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szha commented on issue #21147:
URL: https://github.com/apache/mxnet/issues/21147#issuecomment-1304884479
We probably don't need the -events or -test repos. Also, Infra asked us to
change the website publishing and reduce the website size, or otherwise the
existing workflow tends to time
matteosal commented on issue #21143:
URL: https://github.com/apache/mxnet/issues/21143#issuecomment-1302488256
@bgawrych @barry-jin @szha I think this deserves attention
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josephevans commented on issue #21147:
URL:
https://github.com/apache/incubator-mxnet/issues/21147#issuecomment-1300998852
I am collecting what we need to ask Apache Infra to update now that we have
graduated. These are the git repos for MXNet under Apache. Some of these are
stale and
bkmgit commented on issue #19583:
URL:
https://github.com/apache/incubator-mxnet/issues/19583#issuecomment-1296339102
The images are correct in the version available at
bkmgit commented on issue #17895:
URL:
https://github.com/apache/incubator-mxnet/issues/17895#issuecomment-1296277164
Updated link to [CI
script](https://github.com/apache/incubator-mxnet/blob/master/ci/docker/Dockerfile.build.centos7)
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Rijulsin commented on issue #21074:
URL:
https://github.com/apache/incubator-mxnet/issues/21074#issuecomment-1293300252
Hi @josephevans , I'm unable to import mxnet after using "pip install
mxnet-cu113==1.9.1" for installation. The error :
OSError: libnccl.so.2: cannot open shared
AlexanderSerov closed issue #19521: [RFC] Integration with AndroidNN
URL: https://github.com/apache/incubator-mxnet/issues/19521
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josephevans opened a new issue, #21147:
URL: https://github.com/apache/incubator-mxnet/issues/21147
The ASF board has approved a resolution to graduate MXNet into a full top
level project. Thanks to everyone for your help to get to this point.
To transition from the Apache Incubator
fazaza commented on issue #20992:
URL:
https://github.com/apache/incubator-mxnet/issues/20992#issuecomment-1287120731
any news please ?
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MichaelCurrie commented on issue #11277:
URL:
https://github.com/apache/incubator-mxnet/issues/11277#issuecomment-1286741947
It's because mxnet hasn't made a wheel for Windows since 2019. Very
confusing. So you need to downgrade Python to 3.7.
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KristofVandewynckel commented on issue #11277:
URL:
https://github.com/apache/incubator-mxnet/issues/11277#issuecomment-1286730045
ERROR: Could not find a version that satisfies the requirement mxnet==1.9.*
(from versions: 0.11.0, 0.12.0, 0.12.1, 1.0.0, 1.0.0.post1, 1.0.0.post3,
github-actions[bot] commented on issue #21146:
URL:
https://github.com/apache/incubator-mxnet/issues/21146#issuecomment-1286529479
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please
Davidham3 opened a new issue, #21146:
URL: https://github.com/apache/incubator-mxnet/issues/21146
## Description
```python
from mxnet import nd
from mxnet.gluon import rnn
# create a simple GRU network
net = rnn.GRU(hidden_size=1, num_layers=2, bidirectional=True,
yaosting commented on issue #20992:
URL:
https://github.com/apache/incubator-mxnet/issues/20992#issuecomment-1284292403
>
Did you successfully install by adjusting these two files
I installed according
leezu closed issue #20028: Mac-ARM build failure
URL: https://github.com/apache/incubator-mxnet/issues/20028
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Yimin-Yi commented on issue #20992:
URL:
https://github.com/apache/incubator-mxnet/issues/20992#issuecomment-1279626649
> I was able to get mxnet version 1.6 compiling for m1 macs by basically
copying some of their stuff from the 2.0 code: top of cmakelists script that
loads the
szha commented on issue #21000:
URL:
https://github.com/apache/incubator-mxnet/issues/21000#issuecomment-1279285326
Hi there,
I am a security researcher and I have found a DMARC vulnerability which I
reported from this attack. An attacker can spam your users by sending them
email
jens-maus commented on issue #21144:
URL:
https://github.com/apache/incubator-mxnet/issues/21144#issuecomment-1278097508
After some further investigation I actually found the config option that
seems to trigger the mentioned `undefined reference` linker error. It is the
`USE_DIST_KVSTORE`
josephevans closed issue #21000: [RFC] v1.9.1 release
URL: https://github.com/apache/incubator-mxnet/issues/21000
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josephevans commented on issue #21138:
URL:
https://github.com/apache/incubator-mxnet/issues/21138#issuecomment-1277890439
Hello, MXNet 0.9.5 is a very old version; the latest release is 1.9.1.
The files missing appear to be Intel MKL header files. Do you have MKL
installed
josephevans commented on issue #20984:
URL:
https://github.com/apache/incubator-mxnet/issues/20984#issuecomment-1277725664
Now that the vote has passed, I will create another issue for
post-graduation activities to track.
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josephevans closed issue #20984: [RFC] Graduate MXNet from Apache Incubator
URL: https://github.com/apache/incubator-mxnet/issues/20984
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josephevans closed issue #21074: Build for Cuda 11.3
URL: https://github.com/apache/incubator-mxnet/issues/21074
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josephevans commented on issue #21074:
URL:
https://github.com/apache/incubator-mxnet/issues/21074#issuecomment-1277723530
Hi David, we've recently published MXNet 1.9.1 packages for Cuda 11.0
through 11.7. You can get the 11.3 wheel using the command `pip install
mxnet-cu113==1.9.1`.
jens-maus commented on issue #21144:
URL:
https://github.com/apache/incubator-mxnet/issues/21144#issuecomment-1277329189
Please note, that I am seeing the same/similar issue when trying to compile
the older mxnet 1.9.0 in the same environment:
```
$ cmake --build . --parallel 1
github-actions[bot] commented on issue #21144:
URL:
https://github.com/apache/incubator-mxnet/issues/21144#issuecomment-1276679963
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please
jens-maus opened a new issue, #21144:
URL: https://github.com/apache/incubator-mxnet/issues/21144
## Description
After switching to Ubuntu 22.04 with latest gcc/g++ v11 and CUDA 11.7 with
NVIDIA driver 515.65.01 for Tesla V100S GPU cards I tried to compile mxnet
1.9.1 for our new
matteosal commented on issue #21070:
URL:
https://github.com/apache/incubator-mxnet/issues/21070#issuecomment-1276197539
Behaviour is way better when oneDNN is enabled:
```
Initial memory: 201.998336
215.732224
215.732224
215.732224
215.732224
215.732224
215.732224
matteosal closed issue #21070: Repeated evaluations of a large convolution
allocate more and more memory
URL: https://github.com/apache/incubator-mxnet/issues/21070
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vijaya-lakshmi-venkatraman commented on issue #18988:
URL:
https://github.com/apache/incubator-mxnet/issues/18988#issuecomment-1276005851
@DNXie Isn't master the current live version? Do you prefer to have it fixed
in 1.6 branch as well?
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matteosal opened a new issue, #21143:
URL: https://github.com/apache/incubator-mxnet/issues/21143
This script creates an `RNN` operator and computes its input gradient 5
times for sequence lengths = 1, 2, 3, 4, 5. Then it shows each gradient element
at a fixed sequence position for all the
ankane commented on issue #20028:
URL:
https://github.com/apache/incubator-mxnet/issues/20028#issuecomment-1272381981
fwiw, was able to get the latest version (1.9.1) built with Homebrew with
`-DUSE_SSE=OFF`. Mac ARM users should now be able to install a precompiled
build with:
ashsyal commented on issue #19234:
URL:
https://github.com/apache/incubator-mxnet/issues/19234#issuecomment-1264536223
Here are my steps for reference:
1. wget
ashsyal commented on issue #19234:
URL:
https://github.com/apache/incubator-mxnet/issues/19234#issuecomment-1264535754
> wget
https://repo.mxnet.io/dist/python/cpu/mxnet-1.9.0-py3-none-manylinux2014_aarch64.whl
> python3 -c 'import mxnet'
I ran through all these steps on aarch64
aW3ikun commented on issue #21081:
URL:
https://github.com/apache/incubator-mxnet/issues/21081#issuecomment-1259472485
Hi. Maybe u try using `python ./ci/build_windows.py -f WIN_GPU` to compile
mxnet(v1.9.x) with VS2019.
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aW3ikun commented on issue #20954:
URL:
https://github.com/apache/incubator-mxnet/issues/20954#issuecomment-1259280200
Hi, guys. I have compiled and installed successfully mxnet(v1.9.x) with
python3.8 and cuda11.3(RTX 3060) on Windows11 in these days. Performance in a
model of D2L is not
zhcn381 commented on issue #20028:
URL:
https://github.com/apache/incubator-mxnet/issues/20028#issuecomment-1255733462
Check your config.cmake file, make sure the USE_SSE/USE_F16C configuration
is OFF.
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cyrusbehr closed issue #15261: C++ Can't load model with Symbol::Load when
using static library
URL: https://github.com/apache/incubator-mxnet/issues/15261
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cyrusbehr closed issue #20600: How to efficiently run inference with variable
batch sizes with mxnet using C++ API?
URL: https://github.com/apache/incubator-mxnet/issues/20600
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DNXie commented on issue #18988:
URL:
https://github.com/apache/incubator-mxnet/issues/18988#issuecomment-1248472610
@vijaya-lakshmi-venkatraman
Hi, it is fixed in the the master version. But in the [1.6](
github-actions[bot] commented on issue #21138:
URL:
https://github.com/apache/incubator-mxnet/issues/21138#issuecomment-1246196600
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI,
and we are glad that you are contributing to it by opening this issue.
Please
zhyaoch opened a new issue, #21138:
URL: https://github.com/apache/incubator-mxnet/issues/21138
## Description
When I was compiling the source code of Mxnet v0.9.5,there meet some Error
Messages that said can't open the file of “mkl_dnn_types.h” and “mkl_dnn.h”,and
it seems like these
MichaelCurrie commented on issue #15281:
URL:
https://github.com/apache/incubator-mxnet/issues/15281#issuecomment-1242690246
I suppressed the warning with:
```
with warnings.catch_warnings():
warnings.simplefilter("ignore")
self.resnet = gcv.model_zoo.get_model(...)
MichaelCurrie commented on issue #11277:
URL:
https://github.com/apache/incubator-mxnet/issues/11277#issuecomment-1240564917
`ERROR: No matching distribution found for mxnet==1.9.1`
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matteosal opened a new issue, #21135:
URL: https://github.com/apache/incubator-mxnet/issues/21135
We have experienced problems with the mxnet library hanging at loading time
on some Linux machines, specifically during the operator tuning phase
(`mxnet::op::OperatorTune`). I don't have
vijaya-lakshmi-venkatraman commented on issue #18988:
URL:
https://github.com/apache/incubator-mxnet/issues/18988#issuecomment-1237793235
@DNXie I am looking at the [master
](https://mxnet.apache.org/versions/master/api/python/docs/api/util/index.html#mxnet.util.use_np
)version and dont
matteosal commented on issue #2:
URL:
https://github.com/apache/incubator-mxnet/issues/2#issuecomment-1235713824
So, to summarize the issues I found with the cuDNN implementation:
1) Moving arrays are normally updated only if a BACKWARD pass in training
mode is performed,
matteosal commented on issue #2:
URL:
https://github.com/apache/incubator-mxnet/issues/2#issuecomment-1235710738
@DickJC123 you were in fact right about biased vs unbiased variance
computation. This script tests such claim by letting a non-cudnn batchnorm and
a cudnn-batchnorm
relaxli00 commented on issue #21125:
URL:
https://github.com/apache/incubator-mxnet/issues/21125#issuecomment-1230492882
As far as I know, there is no binary wheel for windows released after 1.7.0.
You'll have to build from source. I tried to build 1.9.1 for Windows 10 with
MKL BLAS. Not
TristonC commented on issue #20984:
URL:
https://github.com/apache/incubator-mxnet/issues/20984#issuecomment-1228785958
Thank you, @josephevans for leading the effort of the graduation!
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josephevans opened a new issue, #20984:
URL: https://github.com/apache/incubator-mxnet/issues/20984
Hello MXNet Community,
I'd like to start the discussion of graduating MXNet from an Apache
Incubating project to a top-level ASF project.
MXNet has been an incubating project
josephevans closed issue #20984: [RFC] Graduate MXNet from Apache Incubator
URL: https://github.com/apache/incubator-mxnet/issues/20984
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josephevans commented on issue #20984:
URL:
https://github.com/apache/incubator-mxnet/issues/20984#issuecomment-1228613246
The final IPMC vote has passed. Thanks to the everyone in the Apache MXNet
community for all the work to get to this point. We will now submit the
resolution to the
bgawrych closed issue #21097: Wrong output from operator _npi_repeats?
URL: https://github.com/apache/incubator-mxnet/issues/21097
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preethamam commented on issue #12982:
URL:
https://github.com/apache/incubator-mxnet/issues/12982#issuecomment-1227472233
> [This issue in PyTorch](https://github.com/pytorch/pytorch/issues/1637)
may be relevant. Specifically, [this
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