ChaiBapchya commented on a change in pull request #17725: Fix get_started pip
instructions
URL: https://github.com/apache/incubator-mxnet/pull/17725#discussion_r386010179
##
File path: docs/static_site/src/_includes/get_started/windows/python/cpu/pip.md
##
@@ -70,4 +70,4 @
ptrendx commented on issue #17658: Update website, README and NEWS with 1.6.0
URL: https://github.com/apache/incubator-mxnet/pull/17658#issuecomment-592911534
Actually I see now what you are talking about. Yes, that needs to be changed.
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yifeim commented on issue #17727: Storage fallback warning escalation
URL:
https://github.com/apache/incubator-mxnet/issues/17727#issuecomment-592908162
https://github.com/apache/incubator-mxnet/issues/16060
This is an automa
yifeim opened a new issue #17727: Storage fallback warning escalation
URL: https://github.com/apache/incubator-mxnet/issues/17727
## Description
In jupyter notebooks, storage fallback warnings are silently passed to the
jupyter engine backend. We want to escalate the warnings to user fro
larroy commented on issue #17631: Increase docker timeouts
URL: https://github.com/apache/incubator-mxnet/pull/17631#issuecomment-592906756
I closed it. If @josephevans or @ChaiBapchya find this problem and think it
solves they might want to reopen.
konioyxgq opened a new issue #17726: Getting network predictions result takes a
long time
URL: https://github.com/apache/incubator-mxnet/issues/17726
I am using a c++ api on CPU to extract a 512-dim feature vector from images.
I use “**auto array = m_Fexecutor->outputs[0]**” to get the
leezu edited a comment on issue #17299: Error when building mxnet with
USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592754645
With respect to the Makefile build @apeforest, the reason is that Makefile
based build doesn't use system protobuf, bu
ptrendx commented on issue #17658: Update website, README and NEWS with 1.6.0
URL: https://github.com/apache/incubator-mxnet/pull/17658#issuecomment-592895707
I was wondering about this 1-5-0 too, but (at least on chrome, I did not
check other browsers) it seems to work ok.
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haoj pushed a change to branch master
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from 319e6c1 CI: Switch to cmake builds for majority of tests (#17645)
add f55fd06 Add warning message for f
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new f55fd06 Add warning message for fallback
haojin2 merged pull request #17697: Add warning message for fallback operators
URL: https://github.com/apache/incubator-mxnet/pull/17697
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wkcn commented on issue #17676: [RFC] MXNet 2.0 API Deprecation
URL:
https://github.com/apache/incubator-mxnet/issues/17676#issuecomment-592878029
I think we should keep ONNX APIs, since it is able to export many basic
models, although it is not perfect. Users will train their models in MX
wkcn edited a comment on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592851654
I use the latest code(319e6c180edef80d5535e5744a4ac6c84cc143e4) to build
MXNet with `USE_GPERFTOOLS = 1`.
OS
wkcn edited a comment on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592851654
I use the latest code(319e6c180edef80d5535e5744a4ac6c84cc143e4) to build
MXNet with `USE_GPERFTOOLS = 1`.
OS
wkcn edited a comment on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592851654
I use the latest code(319e6c180edef80d5535e5744a4ac6c84cc143e4) to build
MXNet with `USE_GPERFTOOLS = 1`.
OS
wkcn edited a comment on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592851654
I use the latest code(319e6c180edef80d5535e5744a4ac6c84cc143e4) to build
MXNet with `USE_GPERFTOOLS = 1`.
OS
wkcn edited a comment on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592851654
I use the latest code(319e6c180edef80d5535e5744a4ac6c84cc143e4) to build
MXNet with `USE_GPERFTOOLS = 1
` , but
wkcn edited a comment on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592851654
I use the latest code(319e6c180edef80d5535e5744a4ac6c84cc143e4) to build
MXNet with `SE_GPERFTOOLS = 1
` , but i
wkcn commented on issue #17720: Rootcause for Gperftools incompatibility with
MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592851654
I use the latest code(319e6c180edef80d5535e5744a4ac6c84cc143e4) to build
MXNet with gperftools 2.7.1 on ArchLinux, but it
mseth10 commented on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592834376
I tested version 2.4-0ubuntu5.16.04.1
This is an autom
leezu opened a new pull request #17725: Fix get_started pip instructions
URL: https://github.com/apache/incubator-mxnet/pull/17725
The class attribute in the respective .md files must match one of the
versions
listed in the version dropdown specified in get_started.html
Without th
leezu opened a new issue #17724: MXNet website often down with "Error 503
Backend unavailable, connection timeout"
URL: https://github.com/apache/incubator-mxnet/issues/17724
```
Error 503 Backend unavailable, connection timeout
Backend unavailable, connection timeout
Guru Medi
leezu commented on issue #17720: Rootcause for Gperftools incompatibility with
MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592809859
@mseth10 which version of gperftools did you test?
This
leezu commented on issue #17299: Error when building mxnet with USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592809157
https://github.com/dmlc/ps-lite/pull/170
This is an automated
oleg-trott opened a new issue #17723: Broken formatting in online documentation
URL: https://github.com/apache/incubator-mxnet/issues/17723
For example, much of
https://mxnet.apache.org/api/python/docs/tutorials/getting-started/to-mxnet/pytorch.html
looks like this: https://i.imgur.com/ie2
oleg-trott edited a comment on issue #17665: No speedup from using FP16 (4
times slower than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-592698779
@ptrendx
Without `multi_precision`, `mxnet.optimizer.SGD` says it would just use the
same precis
oleg-trott commented on issue #17665: No speedup from using FP16 (4 times
slower than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-592804066
@ptrendx
Profiler output for the `resnet50_v2` code (as posted above, FP16, but no
multi-precision):
mseth10 commented on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592801890
`train_mnist.py` runs successfully with the above build, so #9096 no longer
an issue.
But I was able to reproduce th
mseth10 commented on issue #17720: Rootcause for Gperftools incompatibility
with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592800889
Successfully built MXNet master using cmake with USE_GPERFTOOLS=ON on an
ubuntu instance with the following build flags
konioyxgq commented on issue #13219: using C++ interface on CPU to extract
feature vector, delete NDArray::WaitAll() generate incorrect result
URL:
https://github.com/apache/incubator-mxnet/issues/13219#issuecomment-592800386
@WANG-MengJiao @leleamol I have the same problem, have you sol
connorgoggins commented on a change in pull request #17632: [Large Tensor]
Fixed RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385985781
##
File path: src/operator/rnn_impl.h
##
@@ -146,15 +146,15 @@ void LstmForwardTraining(DType* ws,
Ten
connorgoggins commented on a change in pull request #17632: [Large Tensor]
Fixed RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385985563
##
File path: src/operator/rnn-inl.h
##
@@ -140,14 +140,14 @@ inline int GetRnnParamSize(int num_layer,
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new cd35509 Bump the publis
ChaiBapchya commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385975035
##
File path: src/operator/rnn_impl.h
##
@@ -127,9 +127,9 @@ void LstmForwardTraining(DType* ws,
eric-haibin-lin opened a new issue #17722: Large Embedding Model Support in
MXNet
URL: https://github.com/apache/incubator-mxnet/issues/17722
# Problem Statement
For search, ads or recommenders systems, the embeddings are large and pose
challenges on the deep learning system for ef
leezu commented on issue #17676: [RFC] MXNet 2.0 API Deprecation
URL:
https://github.com/apache/incubator-mxnet/issues/17676#issuecomment-592782629
We may also drop ONNX in MXNet 2. I'm not aware of anyone working on ONNX in
MXNet and TVM can be used as a replacement.
connorgoggins commented on a change in pull request #17632: [Large Tensor]
Fixed RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385971999
##
File path: src/operator/rnn_impl.h
##
@@ -127,9 +127,9 @@ void LstmForwardTraining(DType* ws,
leezu edited a comment on issue #17299: Error when building mxnet with
USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592754645
With respect to the Makefile build @apeforest, the reason is that Makefile
based build doesn't use system protobuf, bu
leezu commented on issue #17299: Error when building mxnet with USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592754645
With respect to the Makefile build @apeforest, the reason is that Makefile
based build doesn't use system protobuf, but downlo
leezu commented on issue #17299: Error when building mxnet with USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592751090
Reported an issue upstream requesting if cmake may have any strategy to
handle broken systems such as DLAMI
https://gitlab.ki
leezu removed a comment on issue #17299: Error when building mxnet with
USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592746320
I'm opening a PR to ps-lite so that `Protobuf_ROOT='~/anaconda3/' cmake
[...]` can be used to workaround the DLAMI bu
leezu commented on issue #17299: Error when building mxnet with USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592747607
You can workaround the DLAMI bugs by running with
`cmake -DProtobuf_PROTOC_EXECUTABLE=/usr/bin/protoc [...]`
--
leezu commented on issue #17299: Error when building mxnet with USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592746320
I'm opening a PR to ps-lite so that `Protobuf_ROOT='~/anaconda3/' cmake
[...]` can be used to workaround the DLAMI bugs.
dorijanf commented on issue #17719: 1.6.0 Windows pip installation fails
URL:
https://github.com/apache/incubator-mxnet/issues/17719#issuecomment-592746257
Same issue, dll file missing. If I may ask, when can we expect a fix?
leezu commented on issue #17299: Error when building mxnet with USE_DIST_KVSTORE
URL:
https://github.com/apache/incubator-mxnet/issues/17299#issuecomment-592740807
I verified this error is due to DLAMI shipping protoc version 3.8.0 but
headers from version 3.0.0.
`google/protobuf/po
ptrendx commented on issue #17665: No speedup from using FP16 (4 times slower
than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-592734747
Hmm, I tried your code on both V100 and T4 and could not reproduce your
problem:
on V100 I got:
- 0.084 for
MoisesHer commented on issue #17713: test_operator_gpu.test_embedding_with_type
'an illegal memory access was encountered'
URL:
https://github.com/apache/incubator-mxnet/issues/17713#issuecomment-592729726
Yes, will take a look ASAP
leezu opened a new pull request #17721: Fix nightly tests pipeline
URL: https://github.com/apache/incubator-mxnet/pull/17721
## Description ##
Update files missed in #17645.
This is an automated message from the Apache
ptrendx commented on issue #17713: test_operator_gpu.test_embedding_with_type
'an illegal memory access was encountered'
URL:
https://github.com/apache/incubator-mxnet/issues/17713#issuecomment-592726353
@MoisesHer Could you take a look?
---
sandeep-krishnamurthy commented on issue #17720: Rootcause for Gperftools
incompatibility with MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/17720#issuecomment-592722903
@mseth10 @access2rohit @rondogency fyi
T
sandeep-krishnamurthy opened a new issue #17720: Rootcause for Gperftools
incompatibility with MXNet
URL: https://github.com/apache/incubator-mxnet/issues/17720
## Description
In this PR - https://github.com/apache/incubator-mxnet/pull/14711
USE_GPERFTOOLS was turned off. In this is
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The following commit(s) were added to refs/heads/master by this push:
new 319e6c1 CI: Switch to cmake builds for
leezu closed issue #17548: CI doesn't test cmake build properly
URL: https://github.com/apache/incubator-mxnet/issues/17548
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leezu merged pull request #17645: [CI] Test CMake builds instead of Makefile
builds
URL: https://github.com/apache/incubator-mxnet/pull/17645
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oleg-trott commented on issue #17665: No speedup from using FP16 (4 times
slower than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-592698779
@ptrendx
Without `multi_precision`, `mxnet.optimizer.SGD` says it would just use the
same precision as
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lausen pushed a change to branch master
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from 4f5cd92 Fix compiler warnings in new FFI (#17718)
add b6002fd Fix lapack detection on Ubuntu 18.04 in
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lausen pushed a change to branch master
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from 4f5cd92 Fix compiler warnings in new FFI (#17718)
add b6002fd Fix lapack detection on Ubuntu 18.04 in
leezu merged pull request #17714: Fix lapack detection on Ubuntu 18.04 in
Makefile
URL: https://github.com/apache/incubator-mxnet/pull/17714
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ChaiBapchya commented on issue #17616: CUDA: unspecified launch failure on CI
Windows
URL:
https://github.com/apache/incubator-mxnet/issues/17616#issuecomment-592673531
Another one for unrelated PR #17487 -
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation
ChaiBapchya removed a comment on issue #15925: [CI] illegal memory access
URL:
https://github.com/apache/incubator-mxnet/issues/15925#issuecomment-592672924
#17487
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-gpu/detail/PR-17487/24/pipelin
ChaiBapchya commented on issue #15925: [CI] illegal memory access
URL:
https://github.com/apache/incubator-mxnet/issues/15925#issuecomment-592672924
#17487
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-gpu/detail/PR-17487/24/pipeline
-
szha commented on issue #17719: 1.6.0 Windows pip installation fails
URL:
https://github.com/apache/incubator-mxnet/issues/17719#issuecomment-592670849
The wheel should have been a manylinux1 wheel. I will look into correcting
the problem.
@yajiedesign to update on the windows wheels
-
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new 23c212d Bump the publis
leezu commented on issue #17719: 1.6.0 Windows pip installation fails
URL:
https://github.com/apache/incubator-mxnet/issues/17719#issuecomment-592666961
CC @szha
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leezu commented on issue #17708: Silence all compiler warnings when build
URL:
https://github.com/apache/incubator-mxnet/issues/17708#issuecomment-592661948
As of https://github.com/apache/incubator-mxnet/pull/17645,
`-DCMAKE_BUILD_TYPE="RelWithDebInfo"` will run with `-WError` (and be tes
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The following commit(s) were added to refs/heads/master by this push:
new 4f5cd92 Fix compiler warnings in new F
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The following commit(s) were added to refs/heads/master by this push:
new 4f5cd92 Fix compiler warnings in new F
leezu merged pull request #17718: Fix FFI Warnings
URL: https://github.com/apache/incubator-mxnet/pull/17718
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leezu commented on issue #17718: Fix FFI Warnings
URL: https://github.com/apache/incubator-mxnet/pull/17718#issuecomment-592659747
Thank you!
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ptrendx commented on issue #17665: No speedup from using FP16 (4 times slower
than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-592646699
I believe dot ultimately calls this:
https://github.com/apache/incubator-mxnet/blob/master/3rdparty/mshadow/mshado
leezu commented on issue #15925: [CI] illegal memory access
URL:
https://github.com/apache/incubator-mxnet/issues/15925#issuecomment-592642613
Yes
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ptrendx commented on issue #17665: No speedup from using FP16 (4 times slower
than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-592632257
Hmmm, when I run this with NVIDIA container, I get the s884 kernel and time
is 8.1. Looking at the `dot` implement
ehosler commented on issue #17719: 1.6.0 Windows pip installation fails
URL:
https://github.com/apache/incubator-mxnet/issues/17719#issuecomment-592557451
Issue here as well.
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relaxli00 commented on issue #17719: 1.6.0 Windows pip installation fails
URL:
https://github.com/apache/incubator-mxnet/issues/17719#issuecomment-592521174
+1
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smpawlowski opened a new issue #17719: 1.6.0 Windows pip installation fails
URL: https://github.com/apache/incubator-mxnet/issues/17719
Pip install of mxnet 1.6.0 fails on windows due to libmxnet.dll missing.
Windows whl doesn't seem to be available. Installation tries to use
mxnet-1.6.0-p
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hzfan edited a comment on issue #17708: Silence all compiler warnings when build
URL:
https://github.com/apache/incubator-mxnet/issues/17708#issuecomment-592412385
I created a pr #17718 to fix the warnings introduced by FFI.
Any ways to detect these warnings as errors? I tried to bui
hzfan commented on issue #17708: Silence all compiler warnings when build
URL:
https://github.com/apache/incubator-mxnet/issues/17708#issuecomment-592412385
I created a pr #17718 to fix the warnings introduced by FFI.
Any ways to detect these warnings as errors? I tried to build with
hzfan opened a new pull request #17718: Fix FFI Warnings
URL: https://github.com/apache/incubator-mxnet/pull/17718
## Description ##
Fix warnings introduced in #17510, as is mentioned in #17708
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items f
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