lilongyue edited a comment on issue #16167: [RFC] Apache MXNet 2.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/16167#issuecomment-605396959
@szha
i checked some docs and projects about distributed training ,
'Horovod' is project from uber team , 'Gloo' is project
lilongyue commented on issue #16167: [RFC] Apache MXNet 2.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/16167#issuecomment-605396959
@szha
i checked some docs and projects about distributed training ,
'Horovod' is project from uber team , 'Gloo' is project from
lilongyue opened a new issue #17932: about distributed training in 2.0
roadmap
URL: https://github.com/apache/incubator-mxnet/issues/17932
## Description
i checked some docs and projects about distributed training ,
'Horovod' is project from uber team , 'Gloo' is project from
josephevans commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-605384844
@mxnet-bot run ci [windows-cpu, windows-gpu]
This is an
mxnet-bot commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-605384849
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Bidski opened a new issue #17931: OpWrapperGenerator.py fails to detect
argument type for slice operator
URL: https://github.com/apache/incubator-mxnet/issues/17931
## Description
When building cpp-package OpWarapperGenerator.py is unable to correctly
determine the types for the
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The following commit(s) were added to refs/heads/asf-site by this push:
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mxnet-bot commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-605366316
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ChaiBapchya commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-605366295
@mxnet-bot run ci [windows-cpu, windows-gpu]
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djaym7 opened a new issue #17930: Network pruning, any supporting APIs in
gluon/symbol ?
URL: https://github.com/apache/incubator-mxnet/issues/17930
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leezu commented on a change in pull request #17841: Gluon data 2.0: c++
dataloader and built-in image/bbox transforms
URL: https://github.com/apache/incubator-mxnet/pull/17841#discussion_r399565236
##
File path: src/imperative/cached_op.h
##
@@ -524,15 +528,15 @@ class
leezu commented on a change in pull request #17841: Gluon data 2.0: c++
dataloader and built-in image/bbox transforms
URL: https://github.com/apache/incubator-mxnet/pull/17841#discussion_r399564951
##
File path: python/mxnet/gluon/data/batchify.py
##
@@ -0,0 +1,433 @@
+#
aaronmarkham commented on issue #17919: upgrade sphinx and autodocsumm
URL: https://github.com/apache/incubator-mxnet/pull/17919#issuecomment-605329327
I'm working on a patch for Julia and Python that I hope will resolve this...
but still no idea about the R issue (#17920).
mchoi8739 opened a new pull request #17929: fixing hyperlinks in python tutorial
URL: https://github.com/apache/incubator-mxnet/pull/17929
## Description ##
Updated broken hyperlinks here:
mxnet-bot commented on issue #17929: fixing hyperlinks in python tutorial
URL: https://github.com/apache/incubator-mxnet/pull/17929#issuecomment-605326558
Hey @mchoi8739 , Thanks for submitting the PR
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rondogency closed pull request #17877: [DO NOT MERGE] Trigger CI
URL: https://github.com/apache/incubator-mxnet/pull/17877
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rondogency commented on issue #17762: Custom Operator Random Number Generator
Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#issuecomment-605319052
@samskalicky resolved all your comments
This is an
connorgoggins commented on issue #17919: upgrade sphinx and autodocsumm
URL: https://github.com/apache/incubator-mxnet/pull/17919#issuecomment-605318574
Agreed, that seems to be the root of the problem. With this in mind, it
might make sense to also pull the master Julia docs into the
ChaiBapchya edited a comment on issue #17808: [WIP] Windows dev environment
configuration, update install instructions from source in the docs
URL: https://github.com/apache/incubator-mxnet/pull/17808#issuecomment-605283539
Turns out the path mentioned in ci/build_windows.py is correct
ChaiBapchya commented on issue #17877: [DO NOT MERGE] Trigger CI
URL: https://github.com/apache/incubator-mxnet/pull/17877#issuecomment-605313207
@rondogency can we close this PR
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mxnet-bot commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-605312163
Jenkins CI successfully triggered : [windows-gpu, windows-cpu]
anirudh2290 commented on issue #16817: Fix InferType logic - add backward
inference for some ops
URL: https://github.com/apache/incubator-mxnet/pull/16817#issuecomment-605308533
closing this, since I am not working on this currently. If someone is
interested in picking this up, please go
anirudh2290 closed pull request #16817: Fix InferType logic - add backward
inference for some ops
URL: https://github.com/apache/incubator-mxnet/pull/16817
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anirudh2290 commented on issue #16757: Fix InferType logic in operators
URL:
https://github.com/apache/incubator-mxnet/issues/16757#issuecomment-605307722
un-assigning myself since i am not working on this currently. if someone is
interested, please go ahead.
anirudh2290 commented on issue #16816: Infer Type issue when dtype passed is
None
URL:
https://github.com/apache/incubator-mxnet/issues/16816#issuecomment-605307440
un-assigning myself since i am not working on this currently. if someone is
interested, please go ahead.
anirudh2290 opened a new pull request #17928: Remove code owner
URL: https://github.com/apache/incubator-mxnet/pull/17928
## Description ##
Remove myself from code owner.
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ]
mxnet-bot commented on issue #17928: Remove code owner
URL: https://github.com/apache/incubator-mxnet/pull/17928#issuecomment-605302883
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aaronmarkham commented on issue #17919: upgrade sphinx and autodocsumm
URL: https://github.com/apache/incubator-mxnet/pull/17919#issuecomment-605301300
> When I incorporated the changes from this PR into v1.6.x, I still ran into
the Julia build issue (dependency problem, markdown must be
connorgoggins edited a comment on issue #17919: upgrade sphinx and autodocsumm
URL: https://github.com/apache/incubator-mxnet/pull/17919#issuecomment-605298635
When I incorporated the changes from this PR into v1.6.x, I still ran into
the Julia build issue (dependency problem, markdown
connorgoggins commented on issue #17919: upgrade sphinx and autodocsumm
URL: https://github.com/apache/incubator-mxnet/pull/17919#issuecomment-605298635
When I incorporated the changes from this PR into v1.6.x, I still ran into
the Julia build issue (dependency problem, markdown must be
ptrendx commented on issue #17914: Operator fusion breaks '+' operator on GPU
with CachedOp
URL:
https://github.com/apache/incubator-mxnet/issues/17914#issuecomment-605298056
Ok, I see where the problem comes from - there is a bug in handling negative
values for parameters in the code
leezu commented on a change in pull request #17926: [numpy] add op copyto
URL: https://github.com/apache/incubator-mxnet/pull/17926#discussion_r399515311
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -1209,6 +1210,237 @@ def bitwise_not(x, out=None, **kwargs):
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399493839
##
File path: src/c_api/c_api.cc
##
@@ -248,11 +251,24 @@ void
aaronmarkham commented on issue #17927: update ruby & jekyll, remove
incompatible plugins
URL: https://github.com/apache/incubator-mxnet/pull/17927#issuecomment-605294900
@ThomasDelteil I removed redcarpet as it was incompatible with jekyll 4 -
can you shed any light on what might break
leezu commented on a change in pull request #17926: [numpy] add op copyto
URL: https://github.com/apache/incubator-mxnet/pull/17926#discussion_r399512371
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -1209,6 +1210,237 @@ def bitwise_not(x, out=None, **kwargs):
mxnet-bot commented on issue #17927: update ruby & jekyll, remove incompatible
plugins
URL: https://github.com/apache/incubator-mxnet/pull/17927#issuecomment-605292624
Hey @aaronmarkham , Thanks for submitting the PR
Once your PR is ready for CI checks, invoke the following commands:
aaronmarkham opened a new pull request #17927: update ruby & jekyll, remove
incompatible plugins
URL: https://github.com/apache/incubator-mxnet/pull/17927
## Description ##
Fixes #17918
More detailed notes are in the issue:
aaronmarkham commented on issue #17927: update ruby & jekyll, remove
incompatible plugins
URL: https://github.com/apache/incubator-mxnet/pull/17927#issuecomment-605292746
@connorgoggins @TEChopra1000
This is an automated
aaronmarkham commented on issue #17918: Website / docs build breaking due to
Jekyll/Ruby version update
URL:
https://github.com/apache/incubator-mxnet/issues/17918#issuecomment-605290574
The fix was accomplished this way:
Step 1: Setup rvm
1. Install packages
```
sudo
leezu commented on issue #17925: any.h:286: Check failed: type_ != nullptr The
any container is empty requested=N5mxnet10Imperative6AGInfoE
URL:
https://github.com/apache/incubator-mxnet/issues/17925#issuecomment-605283391
Please provide a minimal example to reproduce the error
ChaiBapchya commented on issue #17808: [WIP] Windows dev environment
configuration, update install instructions from source in the docs
URL: https://github.com/apache/incubator-mxnet/pull/17808#issuecomment-605283539
Turns out the path mentioned in ci/build_windows.py is correct
```
anirudh2290 closed pull request #17455: [DONT MERGE] CI Timeout Testing
URL: https://github.com/apache/incubator-mxnet/pull/17455
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samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399493839
##
File path: src/c_api/c_api.cc
##
@@ -248,11 +251,24 @@ void
ChaiBapchya commented on issue #17808: [WIP] Windows dev environment
configuration, update install instructions from source in the docs
URL: https://github.com/apache/incubator-mxnet/pull/17808#issuecomment-605244072
It's failing only for windows-cpu MKLDNN MKL part with the error
ChaiBapchya commented on issue #17808: [WIP] Windows dev environment
configuration, update install instructions from source in the docs
URL: https://github.com/apache/incubator-mxnet/pull/17808#issuecomment-605210789
retriggering.. windows
mxnet-bot commented on issue #17440: Handle condition of non-negative value of
certain params in random NDarray ops
URL: https://github.com/apache/incubator-mxnet/pull/17440#issuecomment-605208078
Jenkins CI successfully triggered : [windows-gpu, windows-cpu]
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aaronmarkham pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
new f999ba3 Bump the
ChaiBapchya commented on issue #17440: Handle condition of non-negative value
of certain params in random NDarray ops
URL: https://github.com/apache/incubator-mxnet/pull/17440#issuecomment-605207996
@mxnet-bot run ci [windows-cpu, windows-gpu]
ChaiBapchya commented on issue #17894: [OpPerf] Fix axis_shape and function
mismatch for LTS
URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-605206443
@mxnet-bot run ci [windows-cpu, windows-gpu]
This
ChaiBapchya commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-605206381
@mxnet-bot run ci [windows-cpu, windows-gpu]
This is an
mxnet-bot commented on issue #17894: [OpPerf] Fix axis_shape and function
mismatch for LTS
URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-605206486
Jenkins CI successfully triggered : [windows-gpu, windows-cpu]
mxnet-bot commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-605206433
Jenkins CI successfully triggered : [windows-gpu, windows-cpu]
leezu commented on issue #17920: R docs generation error
URL:
https://github.com/apache/incubator-mxnet/issues/17920#issuecomment-605205420
Regarding the backports you linked: Why would changes to the python code
affect the R package?
leezu commented on issue #17920: R docs generation error
URL:
https://github.com/apache/incubator-mxnet/issues/17920#issuecomment-605204908
I think I experienced this error locally before. I fixed it by importing the
function first, using `library(methods)`.
rondogency commented on a change in pull request #17762: Custom Operator Random
Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399441495
##
File path: src/c_api/c_api.cc
##
@@ -248,11 +251,24 @@ void
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399440931
##
File path: example/extensions/lib_custom_op/relu_lib.cu
##
@@ -180,6 +182,80 @@
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399433340
##
File path: src/c_api/c_api.cc
##
@@ -248,11 +251,24 @@ void
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399432140
##
File path: include/mxnet/lib_api.h
##
@@ -1345,7 +1378,7 @@ extern "C" {
}
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399432283
##
File path: include/mxnet/lib_api.h
##
@@ -1476,7 +1510,7 @@ extern "C" {
}
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399432221
##
File path: include/mxnet/lib_api.h
##
@@ -1419,7 +1452,8 @@ extern "C" {
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399431922
##
File path: include/mxnet/lib_api.h
##
@@ -1284,7 +1316,8 @@ extern "C" {
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399431539
##
File path: include/mxnet/lib_api.h
##
@@ -997,7 +1015,8 @@ typedef int
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399431812
##
File path: include/mxnet/lib_api.h
##
@@ -1026,7 +1057,8 @@ typedef int
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399430932
##
File path: include/mxnet/lib_api.h
##
@@ -426,21 +432,30 @@ typedef void
samskalicky commented on a change in pull request #17762: Custom Operator
Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399420491
##
File path: include/mxnet/lib_api.h
##
@@ -426,21 +432,30 @@ typedef void
connorgoggins commented on issue #17910: Jenkins build failures on v1.6
URL:
https://github.com/apache/incubator-mxnet/issues/17910#issuecomment-605118338
Update: fixes for Julia and Python have been identified, still running into
the R docs build issue:
aaronmarkham commented on issue #17920: R docs generation error
URL:
https://github.com/apache/incubator-mxnet/issues/17920#issuecomment-605117306
Maybe the backports broke it?
https://github.com/apache/incubator-mxnet/blob/v1.6.x/python/mxnet/metric.py
aaronmarkham commented on issue #17919: upgrade sphinx and autodocsumm
URL: https://github.com/apache/incubator-mxnet/pull/17919#issuecomment-605101152
> Auto-triggers hasn't been disabled yet (due to few members raising
concerns for this drastic change in functionality) [Refer : [mail
aaronmarkham edited a comment on issue #17919: upgrade sphinx and autodocsumm
URL: https://github.com/apache/incubator-mxnet/pull/17919#issuecomment-605101152
> Auto-triggers hasn't been disabled yet (due to few members raising
concerns for this drastic change in functionality) [Refer :
mxnet-bot commented on issue #17926: [numpy] add op copyto
URL: https://github.com/apache/incubator-mxnet/pull/17926#issuecomment-605075155
Hey @Yiyan66 , Thanks for submitting the PR
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Yiyan66 opened a new pull request #17926: [numpy] add op copyto
URL: https://github.com/apache/incubator-mxnet/pull/17926
## Description ##
add op copyto, nanargmin, nanargmax, nanmax, nanmin, nansum, nancumsum
## Checklist ##
### Essentials ###
Please feel free to remove
hdmjdp opened a new issue #17925: any.h:286: Check failed: type_ != nullptr The
any container is empty requested=N5mxnet10Imperative6AGInfoE
URL: https://github.com/apache/incubator-mxnet/issues/17925
loss.backward()
File
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mxnet-bot commented on issue #17902: [mkldnn] optimize for mkldnn batchnorm
backward
URL: https://github.com/apache/incubator-mxnet/pull/17902#issuecomment-604933759
Jenkins CI successfully triggered : [unix-gpu, windows-gpu]
rongzha1 commented on issue #17902: [mkldnn] optimize for mkldnn batchnorm
backward
URL: https://github.com/apache/incubator-mxnet/pull/17902#issuecomment-604933692
@mxnet-bot run ci [windows-gpu, unix-gpu]
This is an
hkvision opened a new issue #17924: Got stuck when running estimator api example
URL: https://github.com/apache/incubator-mxnet/issues/17924
I'm using cpu to run the code here without any code change:
mxnet-bot commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-604872107
Jenkins CI successfully triggered : [windows-gpu]
This is an
ChaiBapchya commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-604872027
@mxnet-bot run ci [windows-cpu]
This is an automated
ChaiBapchya commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-604872073
@mxnet-bot run ci [windows-gpu]
This is an automated
mxnet-bot commented on issue #17916: 32 to 64 bit toolchain for windows-gpu
build
URL: https://github.com/apache/incubator-mxnet/pull/17916#issuecomment-604872062
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This is an
rondogency commented on issue #17762: Custom Operator Random Number Generator
Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#issuecomment-604864937
@sxjscience @yzhliu I will appreciate if you can take a look at this PR and
point out if any random number related use
rondogency commented on issue #17762: Custom Operator Random Number Generator
Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#issuecomment-604864330
@wkcn @eric-haibin-lin this PR is ready for review. I have to reimplement
the workflow to get rid of some segfault error
rondogency commented on issue #17762: Custom Operator Random Number Generator
Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#issuecomment-604863884
@samskalicky resolved your comments, please take another look
rondogency commented on a change in pull request #17762: Custom Operator Random
Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399085405
##
File path: example/extensions/lib_custom_op/relu_lib.cu
##
@@ -180,6 +182,75 @@
rondogency commented on a change in pull request #17762: Custom Operator Random
Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#discussion_r399085026
##
File path: example/extensions/lib_custom_op/relu_lib.cu
##
@@ -180,6 +182,75 @@
JustinhoCHN opened a new issue #17923: can not install mxnet on jetson nano,
jetpack 4.3, mxnet 1.4
URL: https://github.com/apache/incubator-mxnet/issues/17923
## Description
Try to install mxnet on jetson nano, according to mxnet [jetson_setup
WIll-Xu35 opened a new issue #17922: SGD with L1 regularization, or other
sparse training method
URL: https://github.com/apache/incubator-mxnet/issues/17922
Hi,
I'd like to do sparse training use SGD optimizer but it seems SGD in MXNet
only supports L2 regularization, not L1
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aaronmarkham pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
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xinyu-intel commented on issue #17679: [MKL-DNN] BatchNormRelu Fusion
URL: https://github.com/apache/incubator-mxnet/pull/17679#issuecomment-604838245
@mxnet-bot run ci [windows-gpu]
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mxnet-bot commented on issue #17679: [MKL-DNN] BatchNormRelu Fusion
URL: https://github.com/apache/incubator-mxnet/pull/17679#issuecomment-604838278
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