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stu1130 commented on issue #13933: [WIP] Remove redundant shared_ptr for
exception_ptr
URL: https://github.com/apache/incubator-mxnet/pull/13933#issuecomment-455752230
@mxnet-label-bot add [pr-awaiting-review]
@yuxihu Thanks for your contribution
stu1130 commented on issue #13930: Add batchify transformer to help end to end
models
URL: https://github.com/apache/incubator-mxnet/pull/13930#issuecomment-455752209
@mxnet-label-bot add [pr-awaiting-review]
Great work! @sandeep-krishnamurthy
eric-haibin-lin commented on issue #13811: Add erfinv operator for calculating
inverse error function
URL: https://github.com/apache/incubator-mxnet/pull/13811#issuecomment-455750897
The failure does not seem related. I've triggered the test again to see if
it passes this time
eric-haibin-lin edited a comment on issue #9857: C++ test Core dump
DROPOUT_PERF.TimingGPU
URL:
https://github.com/apache/incubator-mxnet/issues/9857#issuecomment-455750819
It happened again.
eric-haibin-lin commented on issue #9857: C++ test Core dump
DROPOUT_PERF.TimingGPU
URL:
https://github.com/apache/incubator-mxnet/issues/9857#issuecomment-455750819
It happened again.
marcoabreu opened a new issue #9857: C++ test Core dump DROPOUT_PERF.TimingGPU
URL: https://github.com/apache/incubator-mxnet/issues/9857
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/master/399/pipeline
```
Timing: 50 iterations of 10
rondogency commented on issue #13811: Add erfinv operator for calculating
inverse error function
URL: https://github.com/apache/incubator-mxnet/pull/13811#issuecomment-455748907
@eric-haibin-lin the unix gpu failed on a dropout_perf test. Have you even
seen it before? I am a bit
marcoabreu commented on issue #12648: [WIP] Enable Codecov comment
URL: https://github.com/apache/incubator-mxnet/pull/12648#issuecomment-455747426
Oh, totally forgot about it. Will do, thanks for the reminder!
This is an
szha commented on issue #4696: run errors
URL:
https://github.com/apache/incubator-mxnet/issues/4696#issuecomment-455745226
thanks for the suggestion. which cuda version is available on the the system?
This is an automated
hellonico edited a comment on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455739649
Bonjour !
Working on it ...
- [x] Merge with master
- [x] Remove any changes from the nightlies directory
- [x]
hellonico edited a comment on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455739649
Bonjour !
Working on it ...
- [x] Merge with master
- [x] Remove any changes from the nightlies directory
- [x]
kirk86 commented on issue #4696: run errors
URL:
https://github.com/apache/incubator-mxnet/issues/4696#issuecomment-455744210
@szha thanks for the response but that's not the case. Everything works
perfectly fine on this system, I literally mean everything, tensorflow,
pytorch, you name
hellonico edited a comment on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455739649
Bonjour !
Working on it ...
- [x] Merge with master
- [x] Remove any changes from the nightlies directory
- [x]
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szha merged pull request #13893: disable default MKLDNN for cross compilation
URL: https://github.com/apache/incubator-mxnet/pull/13893
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new 1e607a9 Julia: fix filename quoting
szha merged pull request #13894: Julia: fix filename quoting in docstring
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szha commented on issue #4696: run errors
URL:
https://github.com/apache/incubator-mxnet/issues/4696#issuecomment-455741807
usually this happens when CUDA or GPU driver is not properly installed. are
you able to run nvidia-smi successfully?
wkcn commented on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when intputs
are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455741203
@szha
In my experiment, the input size is (9,3,300 to 512,300 to 512), 9 is the
batch size and 3 is the number
szha commented on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when intputs
are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455740623
what are the typical input sizes?
This is an
kirk86 commented on issue #4696: run errors
URL:
https://github.com/apache/incubator-mxnet/issues/4696#issuecomment-455740687
I still have this issue installing via pip `pip install mxnet-cu92` on a
machine with multiple gpus throws error:
```
Python 3.7.2 (default, Dec 29 2018,
wkcn edited a comment on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when
intputs are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455717882
@piyushghai Thanks.
@zhreshold In my experiment, it's a fully convolutional network model(vgg16
without
hellonico commented on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455739649
Bonjour !
Working on it ...
- [ ] Merge with master
- [ ] Remove any changes from the nightlies directory
- [ ] Keep
hellonico edited a comment on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455739649
Bonjour !
Working on it ...
- [x] Merge with master
- [x] Remove any changes from the nightlies directory
- [ ]
hellonico edited a comment on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455739649
Bonjour !
Working on it ...
- [x] Merge with master
- [x] Remove any changes from the nightlies directory
- [x]
hellonico edited a comment on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455739649
Bonjour !
Working on it ...
- [x] Merge with master
- [x] Remove any changes from the nightlies directory
- [x]
hellonico edited a comment on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455739649
Bonjour !
Working on it ...
- [x] Merge with master
- [ ] Remove any changes from the nightlies directory
- [ ]
leleamol commented on issue #13680: [WIP][MXNET-1121] Example to demonstrate
the inference workflow using RNN
URL: https://github.com/apache/incubator-mxnet/pull/13680#issuecomment-455735026
@lupesko @sandeep-krishnamurthy @szha
Since the model used for sequence generation was not
leleamol edited a comment on issue #13680: [WIP][MXNET-1121] Example to
demonstrate the inference workflow using RNN
URL: https://github.com/apache/incubator-mxnet/pull/13680#issuecomment-455735026
@lupesko @sandeep-krishnamurthy @szha @ddavydenko
Since the model used for sequence
Kurokokoro commented on issue #13923: Cannot install MXNet R (cannot open URL)
URL:
https://github.com/apache/incubator-mxnet/issues/13923#issuecomment-455734162
I missed that as well, I switched to 64 bit version and it works now.
Thank you very much :)
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kice commented on a change in pull request #13715: Add C++ Predictor class for
inference
URL: https://github.com/apache/incubator-mxnet/pull/13715#discussion_r249223084
##
File path: cpp-package/example/cpp-predictor/predictor.h
##
@@ -0,0 +1,228 @@
+/*
+ * Licensed to
kice commented on a change in pull request #13715: Add C++ Predictor class for
inference
URL: https://github.com/apache/incubator-mxnet/pull/13715#discussion_r249222789
##
File path: cpp-package/example/cpp-predictor/cpp_pred.cpp
##
@@ -0,0 +1,83 @@
+/*
+ * Licensed to
kice commented on issue #13715: Add C++ Predictor class for inference
URL: https://github.com/apache/incubator-mxnet/pull/13715#issuecomment-455729792
> Hey, @kice , would you mind sharing a bit more about your use case(s) for
C++ API? We (one of the Apache MXNet development teams) are
jeremiedb commented on issue #13923: Cannot install MXNet R (cannot open URL)
URL:
https://github.com/apache/incubator-mxnet/issues/13923#issuecomment-455727997
Oh I missed the 32 bits part. 32 bits isn't supported. Can't you use R 64
bits on Windows 7?
wkcn commented on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when intputs
are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455726968
@adaa I don't know. I found the speeds are the same between two versions
when input shapes are fixed.
In my
lanking520 merged pull request #13932: [v1.4.x] Support populating errors back
to MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13932
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lanking pushed a commit to branch v1.4.x
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The following commit(s) were added to refs/heads/v1.4.x by this push:
new 191f50ab [v1.4.x] Support populating
Kurokokoro commented on issue #13923: Cannot install MXNet R (cannot open URL)
URL:
https://github.com/apache/incubator-mxnet/issues/13923#issuecomment-455721761
It downloads:
`trying URL
'https://s3.ca-central-1.amazonaws.com/jeremiedb/share/mxnet/CPU/mxnet.zip'
Content type
wkcn edited a comment on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when
intputs are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455717882
@piyushghai Thanks.
@zhreshold In my experiment, it's a fully convolutional network model(vgg16
without
wkcn commented on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when intputs
are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455717882
@piyushghai Thanks.
@zhreshold In my experiment, it's a fully convolutional network model(vgg16
without FC
gigasquid commented on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455715476
@hellonico if you have some bandwidth to move this forward I think we need:
* Merge with master
* Remove any changes from the
sandeep-krishnamurthy commented on issue #13930: Add batchify transformer to
help end to end models
URL: https://github.com/apache/incubator-mxnet/pull/13930#issuecomment-455715191
> This seems to be the concern of batchify function in dataloader.
Added the description explaining
gigasquid commented on issue #13624: WIP: Nightly Tests For Clojure
URL: https://github.com/apache/incubator-mxnet/pull/13624#issuecomment-455714431
started a dev discussion about this -
Roshrini commented on issue #12399: ONNX export: Add Crop, Deconvolution and
fix the default stride of Pooling to 1
URL: https://github.com/apache/incubator-mxnet/pull/12399#issuecomment-455712219
Hi @ptrendx, if you have test ready for crop, can you please add it? Or
maybe create a
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new de5948b Version switching user
aaronmarkham merged pull request #13921: Version switching user experience
improvements
URL: https://github.com/apache/incubator-mxnet/pull/13921
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IvyBazan commented on issue #13921: Version switching user experience
improvements
URL: https://github.com/apache/incubator-mxnet/pull/13921#issuecomment-455711223
LGTM!
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yuxihu commented on issue #13932: [v1.4.x] Support populating errors back to
MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13932#issuecomment-455706252
@marcoabreu Could you please help merge this PR to v1.4.x branch? Thanks.
yuxihu edited a comment on issue #13932: [v1.4.x] Support populating errors
back to MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13932#issuecomment-455706073
@mxnet-label-bot update [pr-awaiting-merge]
yuxihu commented on issue #13932: [v1.4.x] Support populating errors back to
MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13932#issuecomment-455706073
@mxnet-label-bot update [pr-waiting-merge]
yuxihu opened a new pull request #13933: Remove redundant shared_ptr for
exception_ptr
URL: https://github.com/apache/incubator-mxnet/pull/13933
[std::exception_ptr](https://en.cppreference.com/w/cpp/error/exception_ptr)
is already reference counted. There is no need to wrap it with
ThomasDelteil commented on a change in pull request #12933: Update autoencoder
example
URL: https://github.com/apache/incubator-mxnet/pull/12933#discussion_r249195467
##
File path: example/autoencoder/convolutional_autoencoder.ipynb
##
@@ -0,0 +1,587 @@
+{
+ "cells": [
+
ThomasDelteil commented on a change in pull request #12933: Update autoencoder
example
URL: https://github.com/apache/incubator-mxnet/pull/12933#discussion_r249195429
##
File path: example/autoencoder/convolutional_autoencoder.ipynb
##
@@ -0,0 +1,587 @@
+{
+ "cells": [
+
jeremiedb commented on issue #13923: Cannot install MXNet R (cannot open URL)
URL:
https://github.com/apache/incubator-mxnet/issues/13923#issuecomment-455695089
@Kurokokoro Could you give another shot, I think I had failed to change the
status to public.
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new a24d074 Bump the publish
Kurokokoro commented on issue #13923: Cannot install MXNet R (cannot open URL)
URL:
https://github.com/apache/incubator-mxnet/issues/13923#issuecomment-455674320
> @Kurokokoro Do you have OpenBlas already installed in your system?
I tried but installation had an error, I have
larroy commented on issue #13549: Runtime feature detection
URL: https://github.com/apache/incubator-mxnet/pull/13549#issuecomment-455665646
Did you see the provided unit test?
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adaa edited a comment on issue #13928: MXNet 1.5.0 is slower than 1.3.0
when intputs are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455663941
what is the different between 1.3.0 and 1.5.0 in memory allocation?
adaa commented on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when
intputs are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455663941
what is the different between 1.3.0 and 1.5.0 on memory allocation?
gordon1992 commented on issue #13929: commons-codec/io part of `make scalapkg`
output JAR
URL:
https://github.com/apache/incubator-mxnet/issues/13929#issuecomment-455661049
Thanks for the quick response.
Yeah, the fix was sufficient for my investigation.
Completely agree on
zhreshold commented on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when
intputs are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455655240
@wkcn
Performance:
MXNet 1.5.0: 20 images / sec
MXNet 1.3.0: 70+ images / sec
What are these
ThomasDelteil commented on a change in pull request #12933: Update autoencoder
example
URL: https://github.com/apache/incubator-mxnet/pull/12933#discussion_r249153323
##
File path: example/autoencoder/convolutional_autoencoder.ipynb
##
@@ -0,0 +1,587 @@
+{
+ "cells": [
+
ThomasDelteil commented on a change in pull request #12933: Update autoencoder
example
URL: https://github.com/apache/incubator-mxnet/pull/12933#discussion_r249153047
##
File path: example/autoencoder/convolutional_autoencoder.ipynb
##
@@ -0,0 +1,587 @@
+{
+ "cells": [
+
aaronmarkham commented on issue #13920: The C++ API documentation available on
website does not contain information about operators in op.h
URL:
https://github.com/apache/incubator-mxnet/issues/13920#issuecomment-455653127
I'm seeing a lot of errors in v1.3.x.
```
Generating XML
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perdasilva commented on issue #11359: Flaky test
test_io:test_ImageRecordIter_seed_augmentation
URL:
https://github.com/apache/incubator-mxnet/issues/11359#issuecomment-455648427
@marcoabreu this issue can now be closed =)
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marcoabreu pushed a commit to branch master
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new d07187b
marcoabreu merged pull request #12485: test_ImageRecordIter_seed_augmentation
flaky test fix
URL: https://github.com/apache/incubator-mxnet/pull/12485
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kirk86 commented on issue #7873: Issues on training CIFAR10 with official
example code
URL:
https://github.com/apache/incubator-mxnet/issues/7873#issuecomment-455642022
@nswamy Thanks for the reply. Let me explain a bit. So conda does offer
mxnet-gpu which is version 1.2.1, although as
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new 791c5d5 Fix document build
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The following commit(s) were added to refs/heads/master by this push:
new 0c85665 Support populating errors
marcoabreu merged pull request #13927: Fix document build
URL: https://github.com/apache/incubator-mxnet/pull/13927
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marcoabreu merged pull request #13922: Support populating errors back to MXNet
engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13922
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nswamy commented on issue #7873: Issues on training CIFAR10 with official
example code
URL:
https://github.com/apache/incubator-mxnet/issues/7873#issuecomment-455633521
@kirk86 which conda environment are referring to? AFAIK we don't maintain
conda packages, you could try to do `pip
ChaiBapchya commented on issue #13921: Version switching user experience
improvements
URL: https://github.com/apache/incubator-mxnet/pull/13921#issuecomment-455633073
Yes, this sounds good.
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yuxihu opened a new pull request #13932: [v1.4.x] Support populating errors
back to MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13932
This PR adds an optional dmlc::Error* argument in MXNet engine callback
functions. The callers can leverage this argument
larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-455633028
What's worse is that when executing this test, you can easily create a
segmentation fault, by hitting ^C
larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-455632496
I spent some time looking at this, I can say I understand what's the
problem, this happens when the omp
piyushghai commented on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when
intputs are variant
URL:
https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-455632342
@wkcn Thanks for raising this issue. The performance degradation is indeed
concerning.
I'm labelling it
yuxihu closed pull request #13931: [v1.4.x] Support populating errors back to
MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13931
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sandeep-krishnamurthy opened a new pull request #13930: [WIP] Add list to batch
transformer
URL: https://github.com/apache/incubator-mxnet/pull/13930
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove
yuxihu opened a new pull request #13931: [v1.4.x] Support populating errors
back to MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13931
This PR adds an optional dmlc::Error* argument in MXNet engine callback
functions. The callers can leverage this argument
frankfliu commented on issue #13929: commons-codec/io part of `make scalapkg`
output JAR
URL:
https://github.com/apache/incubator-mxnet/issues/13929#issuecomment-455631031
@gordon1992
Thank you for looking into this issue. Your fix isn't a complete fix:
1. There are other
stu1130 commented on issue #12648: [WIP] Enable Codecov comment
URL: https://github.com/apache/incubator-mxnet/pull/12648#issuecomment-455630393
@marcoabreu did you get a chance to start a thread? thanks?
This is an automated
piyushghai commented on issue #13929: commons-codec/io part of `make scalapkg`
output JAR
URL:
https://github.com/apache/incubator-mxnet/issues/13929#issuecomment-455629114
Hi @gordon1992 Thanks for posting this issue. @frankfliu Can you have a look
here regarding the bundling of
stu1130 commented on issue #13893: disable default MKLDNN for cross compilation
URL: https://github.com/apache/incubator-mxnet/pull/13893#issuecomment-455627870
@mxnet-label-bot add [pr-awaiting-review]
This is an automated
stu1130 commented on issue #13926: [v1.4.x] Fix gtest build
URL: https://github.com/apache/incubator-mxnet/pull/13926#issuecomment-455627339
@mxnet-label-bot add [pr-awaiting-review]
Thanks for your contribution @ZhennanQin
piyushghai commented on issue #13913: pickle.save crashes when saving an
NDArray on MXNet with error Check failed: !IsMKLDNNData() on MKL v1.3.1 taken
from PyPi
URL:
https://github.com/apache/incubator-mxnet/issues/13913#issuecomment-455626970
Closing this issue as the fix is already in
piyushghai closed issue #13913: pickle.save crashes when saving an NDArray on
MXNet with error Check failed: !IsMKLDNNData() on MKL v1.3.1 taken from PyPi
URL: https://github.com/apache/incubator-mxnet/issues/13913
This is
piyushghai commented on issue #13913: pickle.save crashes when saving an
NDArray on MXNet with error Check failed: !IsMKLDNNData() on MKL v1.3.1 taken
from PyPi
URL:
https://github.com/apache/incubator-mxnet/issues/13913#issuecomment-455626771
> @piyushghai Fixed by this check in #12530:
yuxihu commented on a change in pull request #13922: Support populating errors
back to MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13922#discussion_r249122732
##
File path: src/engine/threaded_engine.cc
##
@@ -478,10 +478,14 @@ inline void
aaronmarkham commented on issue #13549: Runtime feature detection
URL: https://github.com/apache/incubator-mxnet/pull/13549#issuecomment-455622980
I could have just randomly tried executing the scripts but I wanted to know,
in advance, what should be run to make them work and what to
gordon1992 opened a new issue #13929: commons-codec/io part of `make scalapkg`
output JAR
URL: https://github.com/apache/incubator-mxnet/issues/13929
This is related #13528 (which is referring to the inclusion of the Scala
standard library).
The JAR output by `make scalapkg` (say
gigasquid commented on issue #13838: [OSX] Brew install opencv breaks master
URL:
https://github.com/apache/incubator-mxnet/issues/13838#issuecomment-455596030
There is now a opencv@3 available :)
```
$ brew search opencv
==> Formulae
opencv ✔ opencv@2 ✔
larroy commented on a change in pull request #13922: Support populating errors
back to MXNet engine in callback
URL: https://github.com/apache/incubator-mxnet/pull/13922#discussion_r249075880
##
File path: src/engine/threaded_engine.cc
##
@@ -478,10 +478,14 @@ inline void
larroy commented on issue #13927: Fix document build
URL: https://github.com/apache/incubator-mxnet/pull/13927#issuecomment-455575994
Does it fix the issues with the website build?
This is an automated message from the Apache
larroy commented on issue #13549: Runtime feature detection
URL: https://github.com/apache/incubator-mxnet/pull/13549#issuecomment-455575405
@aaronmarkham where would you suggest to add this? you mean as a
documentation? The unit tests show how to use it. We need to build on top of
this
wkcn opened a new issue #13928: MXNet 1.5.0 is slower than 1.3.0 when intputs
are variant
URL: https://github.com/apache/incubator-mxnet/issues/13928
## Description
Hi! I have an experiment about Object Counting, which needs variant inputs.
I write the code with Gluon, and hybridize
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