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sandeep-krishnamurthy commented on pull request #18368:
URL: https://github.com/apache/incubator-mxnet/pull/18368#issuecomment-659884801
As discussed in this issue
https://github.com/apache/incubator-mxnet/issues/17331#issuecomment-656725373
as a first step we are focussed on OpenBLAS upda
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from 3ef00b8 Refactoring of Pooled Storage Manager classes (#18582)
add a77f774 Remove NNPACK integratio
szha edited a comment on issue #18682:
URL:
https://github.com/apache/incubator-mxnet/issues/18682#issuecomment-659853558
@ys2843 can this be applied onto s3, or otherwise can we get rid of the
redirection?
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szha commented on issue #18682:
URL:
https://github.com/apache/incubator-mxnet/issues/18682#issuecomment-659853558
@ys2843 can this be applied onto s3, or otherwise can we get ride of the
redirection?
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szha merged pull request #18722:
URL: https://github.com/apache/incubator-mxnet/pull/18722
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szha commented on pull request #18368:
URL: https://github.com/apache/incubator-mxnet/pull/18368#issuecomment-659852424
@sandeep-krishnamurthy the CI is currently stuck on build issue that @TaoLv
pointed out. @access2rohit 's PR on the build fix is needed to address the
issue but it seems
ciyongch commented on pull request #18608:
URL: https://github.com/apache/incubator-mxnet/pull/18608#issuecomment-659849744
Hi @ChaiBapchya , I took a look at the failure of [unix-gpu] which showed
TVM compilation error and GPU OOM runtime error, seems it's more like the CI
side issue. can
szha commented on issue #18743:
URL:
https://github.com/apache/incubator-mxnet/issues/18743#issuecomment-659839040
how do you reproduce the error?
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chengyuz opened a new issue #18743:
URL: https://github.com/apache/incubator-mxnet/issues/18743
## Description
i followed this
link(https://mxnet.apache.org/api/python/docs/tutorials/performance/backend/amp.html)
to enable amp in my project, but with error:
INFO:root:--
wkcn commented on pull request #18688:
URL: https://github.com/apache/incubator-mxnet/pull/18688#issuecomment-659811667
@DickJC123
Thank you!
The problem size could be reverted back after merging the PR #18694 : )
This
ptrendx closed pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735
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ptrendx edited a comment on pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735#issuecomment-659807152
That is true - I was working on a g4 instance that I thought matches the
windows-gpu CI, where I saw that issue and thought the reason of this strange
gap at th
ptrendx commented on pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735#issuecomment-659807152
That is true - I was working on an instance that I thought matches the
windows-gpu CI, where I saw that issue and thought the reason of this strange
gap at the beginni
mxnet-bot commented on pull request #18742:
URL: https://github.com/apache/incubator-mxnet/pull/18742#issuecomment-659776652
Hey @ChaiBapchya , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
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ChaiBapchya opened a new pull request #18742:
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ChaiBapchya commented on pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735#issuecomment-659774362
Thus we can close this PR since cuda arch for Tesla M60 is 5.2
https://developer.nvidia.com/cuda-gpus
--
mxnet-bot commented on pull request #18741:
URL: https://github.com/apache/incubator-mxnet/pull/18741#issuecomment-659773696
Hey @eric-haibin-lin , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
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eric-haibin-lin opened a new pull request #18741:
URL: https://github.com/apache/incubator-mxnet/pull/18741
## Description ##
Disabling this test for now to unblock other PRs, while I'm looking into it.
https://github.com/apache/incubator-mxnet/issues/18740
## Checklist ##
##
DickJC123 commented on a change in pull request #18694:
URL: https://github.com/apache/incubator-mxnet/pull/18694#discussion_r456164385
##
File path: Makefile
##
@@ -431,7 +431,7 @@ endif
# be JIT-compiled by the updated driver from the included PTX.
ifeq ($(USE_CUDA), 1)
if
DickJC123 commented on pull request #18688:
URL: https://github.com/apache/incubator-mxnet/pull/18688#issuecomment-659766979
My PR https://github.com/apache/incubator-mxnet/pull/18694 is now pushed and
I am working toward getting a clean CI prior to merging. The sample- vs.
population-var
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Kh4L commented on issue #18729:
URL:
https://github.com/apache/incubator-mxnet/issues/18729#issuecomment-659752290
@ptrendx @aaronmarkham It has been removed in this PR
https://github.com/apache/incubator-mxnet/pull/18579
cc @eric-haibin-lin
--
leezu commented on pull request #18722:
URL: https://github.com/apache/incubator-mxnet/pull/18722#issuecomment-659750261
@mxnet-bot run ci [centos-cpu]
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from 2abf0b8 Initialize docker cache in build.py for docker-compose
containers (#18724)
add 3ef00b8 Ref
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from 2abf0b8 Initialize docker cache in build.py for docker-compose
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szha commented on pull request #18582:
URL: https://github.com/apache/incubator-mxnet/pull/18582#issuecomment-659742603
@andrei5055 thanks for the refactor
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szha merged pull request #18582:
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ChaiBapchya commented on pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735#issuecomment-659742257
@leezu @marcoabreu
Looked into the mxnet-ci isengard a/c, to find: windows-gpu instances are
all G3
all G3s are Tesla M60.
[discussed offline with ptrendx
leezu opened a new issue #18740:
URL: https://github.com/apache/incubator-mxnet/issues/18740
## Description
Tests crashes affecting multiple PRs:
https://github.com/apache/incubator-mxnet/pull/18711
https://github.com/apache/incubator-mxnet/pull/18694
https://github.com/apache/incubato
leezu commented on pull request #18722:
URL: https://github.com/apache/incubator-mxnet/pull/18722#issuecomment-659741070
@mxnet-bot run ci [centos-cpu]
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URL: https://github.com/apache/incubator-mxnet/pull/18733#issuecomment-659739371
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leezu commented on pull request #18733:
URL: https://github.com/apache/incubator-mxnet/pull/18733#issuecomment-659739351
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wkcn commented on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659732747
@szha
In numpy, the output of np.transpose is not contiguous, but the copied
ndarray is contiguous.
We compute each position of tranpose's output individually, but
leezu commented on a change in pull request #18690:
URL: https://github.com/apache/incubator-mxnet/pull/18690#discussion_r456130118
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1470,6 +1470,10 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None,
ctx
leezu commented on pull request #18733:
URL: https://github.com/apache/incubator-mxnet/pull/18733#issuecomment-659677878
@mxnet-bot run ci [centos-cpu]
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leezu commented on pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735#issuecomment-659677721
@mxnet-bot run ci [unix-cpu, windows-gpu]
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leezu opened a new issue #18739:
URL: https://github.com/apache/incubator-mxnet/issues/18739
## Description
Compilation will generate the `3rdparty/ps-lite/src/meta.pb.cc`
`3rdparty/ps-lite/src/meta.pb.h` files.
This causes issues when compiling using different Docker containers or on
ys2843 commented on pull request #18738:
URL: https://github.com/apache/incubator-mxnet/pull/18738#issuecomment-659646149
@mxnet-label-bot add [Website]
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mxnet-bot commented on pull request #18738:
URL: https://github.com/apache/incubator-mxnet/pull/18738#issuecomment-659635114
Hey @ys2843 , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following com
ys2843 opened a new pull request #18738:
URL: https://github.com/apache/incubator-mxnet/pull/18738
## Description ##
#18429 , This PR contains the following redirect rules:
When user lands on main page "/"
1. If coming from domains except `mxnet.apache.org` or
`mxnet.incubator.apac
DickJC123 opened a new issue #18737:
URL: https://github.com/apache/incubator-mxnet/issues/18737
## Description
Notice the test case duplication in the code:
https://github.com/apache/incubator-mxnet/blob/2abf0b8c2b3361c73c9dfdeabdb8a88278b693d0/tests/python/gpu/test_operator_gpu.py#L
DickJC123 commented on issue #18736:
URL:
https://github.com/apache/incubator-mxnet/issues/18736#issuecomment-659621773
While technically a different issue, test_numpy_interoperability.py has a
spurious print statement:
https://github.com/apache/incubator-mxnet/blob/2abf0b8c2b3361c73c9dfd
sandeep-krishnamurthy commented on pull request #18368:
URL: https://github.com/apache/incubator-mxnet/pull/18368#issuecomment-659620714
@access2rohit - Please help review. Thanks.
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mxnet-bot commented on pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735#issuecomment-659600625
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ptrendx commented on pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735#issuecomment-659600564
@mxnet-bot run ci [edge]
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DickJC123 opened a new issue #18736:
URL: https://github.com/apache/incubator-mxnet/issues/18736
## Description
The following code in test_numpy_interoperability.py sets a numpy seed
unilaterally, thereby making deterministic the random numbers used in
subsequent unittests:
https://git
ChaiBapchya commented on pull request #18608:
URL: https://github.com/apache/incubator-mxnet/pull/18608#issuecomment-659591292
@leezu @TaoLv @ciyongch gentle ping.. for help..
unix-gpu: Any idea why specifically python3 GPU tests are failing while
trying to add mkl headers?
edge: Jets
leezu commented on issue #18734:
URL:
https://github.com/apache/incubator-mxnet/issues/18734#issuecomment-659584345
Try not using cuda before enabling the multiprocessor as a workaround. There
are various bugs in the multiprocessing implementation in MXNet
---
mxnet-bot commented on pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735#issuecomment-659583990
Hey @ptrendx , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following co
ptrendx opened a new pull request #18735:
URL: https://github.com/apache/incubator-mxnet/pull/18735
## Description ##
Current build script used by CI on Windows sets the CUDA arch to 5.2, which
results in the need to do ptx -> sass compilation at the beginning of the tests
(depending on
guptaanshul201989 opened a new issue #18734:
URL: https://github.com/apache/incubator-mxnet/issues/18734
I am trying to train a transformer seq-to-seq model on Sagemaker ( The
script I am using works fine when I run it on an EC2 multi gpu instance ).
When I start a training job on sa
leezu commented on a change in pull request #18721:
URL: https://github.com/apache/incubator-mxnet/pull/18721#discussion_r455972369
##
File path: Makefile
##
@@ -1,768 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreement
leezu commented on issue #18725:
URL:
https://github.com/apache/incubator-mxnet/issues/18725#issuecomment-659573454
The module should be documented in the same way as any other module on the
website. The issue here is that the website build is not tested in PRs and thus
it's no surprise t
mxnet-bot commented on pull request #18733:
URL: https://github.com/apache/incubator-mxnet/pull/18733#issuecomment-659573656
Hey @leezu , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following comm
leezu opened a new pull request #18733:
URL: https://github.com/apache/incubator-mxnet/pull/18733
Fixes https://github.com/apache/incubator-mxnet/issues/18725
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leezu opened a new issue #18732:
URL: https://github.com/apache/incubator-mxnet/issues/18732
Website is built from master branch; but there is no PR check ensuring that
a PR does not break the website build.
Thus website breaks frequently
- https://github.com/apache/incubator-
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lausen pushed a change to branch master
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from 37bdf0b [MXNET-1453] Support the intput whose dimension is greater
than 6 for Transpose and Rollaxis (#187
leezu merged pull request #18724:
URL: https://github.com/apache/incubator-mxnet/pull/18724
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from 8198442 [numpy] symbolic advanced indexing (#18319)
add 37bdf0b [MXNET-1453] Support the intput who
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szha closed issue #18695:
URL: https://github.com/apache/incubator-mxnet/issues/18695
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szha merged pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707
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szha commented on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659556617
the comparison with numpy is unfair in that numpy just sets strides and
doesn't have to be c contiguous.
DickJC123 commented on pull request #18711:
URL: https://github.com/apache/incubator-mxnet/pull/18711#issuecomment-659516305
My PR is having the same 'worker crash' problem this PR is having. Without
understanding the root cause, I tried marking the failing test in
unittest/test_sparse_op
DickJC123 edited a comment on pull request #18711:
URL: https://github.com/apache/incubator-mxnet/pull/18711#issuecomment-659516305
My PR is having the same 'worker crash' problem this PR is having. Without
understanding the root cause, I tried marking the failing test in
unittest/test_sp
ptrendx commented on issue #18729:
URL:
https://github.com/apache/incubator-mxnet/issues/18729#issuecomment-659506296
@Kh4L Could you check if the content from 1.x is ok / modify the example to
work with the current master?
@aaronmarkham You gave link to 1.6 version, which seems to
szha commented on issue #18543:
URL:
https://github.com/apache/incubator-mxnet/issues/18543#issuecomment-659493480
@eric-haibin-lin @ArmageddonKnight could you update on this?
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Masquerade0097 edited a comment on issue #18667:
URL:
https://github.com/apache/incubator-mxnet/issues/18667#issuecomment-655500718
@leezu Thanks for your reply.
> For now, you can't use the pretrained models directly on s390x
architecture but you'd need some workaround where you l
chinakook commented on issue #18543:
URL:
https://github.com/apache/incubator-mxnet/issues/18543#issuecomment-659456175
It's an urgent job because the MXNet 2.0 delete the symbolic executor API.
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woreom closed issue #18536:
URL: https://github.com/apache/incubator-mxnet/issues/18536
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woreom commented on issue #18536:
URL:
https://github.com/apache/incubator-mxnet/issues/18536#issuecomment-659391586
@Qengineering Thank you for your response, It seems that the CC compiler is
the issue however I used GCC-4.9 to overcome it, I wanted to use OpenCV so I
had to compile Open
lilipj commented on issue #17395:
URL:
https://github.com/apache/incubator-mxnet/issues/17395#issuecomment-659387413
I've used the onnxmltool.convert_keras function, it works with
target_opset=8 (9 fails)
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Qengineering edited a comment on issue #18628:
URL:
https://github.com/apache/incubator-mxnet/issues/18628#issuecomment-659372967
I've built the latest version of MXNet (2.0.0) on a Raspberry Pi with 32 bit
and 64 bit OS successfully. The instructions can be found here
[install-mxnet-on-r
Qengineering commented on issue #18628:
URL:
https://github.com/apache/incubator-mxnet/issues/18628#issuecomment-659372967
I've built the latest version of MXNet (2.0.0) on a Raspberry Pi with 32 bit
and 64 bit OS successfully. The instruction can be found here
[](https://qengineering.eu/
Qengineering edited a comment on issue #18628:
URL:
https://github.com/apache/incubator-mxnet/issues/18628#issuecomment-659372967
I've built the latest version of MXNet (2.0.0) on a Raspberry Pi with 32 bit
and 64 bit OS successfully. The instruction can be found here
[https://qengineerin
Qengineering edited a comment on issue #18536:
URL:
https://github.com/apache/incubator-mxnet/issues/18536#issuecomment-659370080
I've had the same problem with the memory exhausting. It has to do with GNU
compiler. The compiler is very memory hungry, especially when long chains off
templ
Qengineering edited a comment on issue #18536:
URL:
https://github.com/apache/incubator-mxnet/issues/18536#issuecomment-659370080
I've had the same problem with the memory exhausting. It has to do with GNU
compiler. The compiler is very memory hungry, especially when long chains off
templ
Qengineering commented on issue #18536:
URL:
https://github.com/apache/incubator-mxnet/issues/18536#issuecomment-659370080
I've had the same problem with the memory exhausting. It has to do with GNU
compiler. The compiler is very memory hungry, especially when long chains off
template cod
wkcn edited a comment on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659304799
Performance Benchmark:
transpose operator on CPU, **axes is generated randomly**
ndim | max use (kb) | avg time (ms)
---|---|--
1|12582.9121|1.0786
wkcn edited a comment on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659304799
Performance Benchmark:
transpose operator on CPU, **axes is generated randomly**
ndim | max use (kb) | avg time (ms)
---|---|--
1|12582.9121|1.0786
wkcn edited a comment on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659304799
Performance Benchmark:
transpose operator on CPU, **axes is generated randomly**
ndim | max use (kb) | avg time (ms)
---|---|--
1|12582.9121|1.0786
wkcn edited a comment on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659304799
Performance Benchmark:
transpose operator on CPU, axes is generated randomly
ndim | max use (kb) | avg time (ms)
---|---|--
1|12582.9121|1.0786
2|
wkcn edited a comment on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659304799
Performance Benchmark:
transpose operator on CPU, axes is generated randomly
ndim | max use (kb) | avg time (ms)
---|---|--
1|12582.9121|1.0786
2|
wkcn commented on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659304799
Performance Benchmark:
transpose operator on CPU, axes is generated randomly
ndim | max use (kb) | avg time (ms)
---|---|--
1|12582.9121|1.0786
2|12582.9
wkcn commented on pull request #18707:
URL: https://github.com/apache/incubator-mxnet/pull/18707#issuecomment-659286009
@szha Thank you for the suggestion!
When axes.ndim() <= 6, it will call the original function `TransposeImpl`.
`TransposeImpl` does not allocate any workspace, and
Author: taolv
Date: Thu Jul 16 08:15:47 2020
New Revision: 40510
Log:
Add mxnet-1.7.0.rc1
Added:
dev/incubator/mxnet/1.7.0.rc1/
dev/incubator/mxnet/1.7.0.rc1/apache-mxnet-src-1.7.0.rc1-incubating.tar.gz
(with props)
dev/incubator/mxnet/1.7.0.rc1/apache-mxnet-src-1.7.0.rc1-incubati
szha commented on pull request #18706:
URL: https://github.com/apache/incubator-mxnet/pull/18706#issuecomment-659214645
Oh right, I just realized that _BlockScope is gone.
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leezu commented on issue #18210:
URL:
https://github.com/apache/incubator-mxnet/issues/18210#issuecomment-659202975
Github needs to fix it
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lausen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 6901325 Add the newest mxnet discuss version. Add d2l.ai (#18663)
add 8198442 [numpy] symbolic advan
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