TaoLv commented on issue #16735: Use single-bit for mask in dropout operator
URL: https://github.com/apache/incubator-mxnet/pull/16735#issuecomment-584505352
@apeforest Could you please share your benchmarking scripts?
This
TaoLv commented on issue #17396: refactor: handle mshadow as cmake target
URL: https://github.com/apache/incubator-mxnet/pull/17396#issuecomment-584502676
Okay, sorry for missing that. I was wondering how does mshadow cmake
handling the BLAS build flags like MSHADOW_USE_MKL and how the MKL
TaoLv commented on issue #16899: Enable MKL-DNN in pip packages
URL: https://github.com/apache/incubator-mxnet/pull/16899#issuecomment-584494778
Thank you @samskalicky . See
https://github.com/apache/incubator-mxnet/issues/17560 for the website faliure.
TaoLv commented on issue #16735: Use single-bit for mask in dropout operator
URL: https://github.com/apache/incubator-mxnet/pull/16735#issuecomment-584493695
> Can MKL VSL support bit-wise mask so we don't have to do the extra
conversion which seems redundant in the MKL case.
Sorry,
apeforest commented on issue #16735: Use single-bit for mask in dropout operator
URL: https://github.com/apache/incubator-mxnet/pull/16735#issuecomment-584486168
@TaoLv Could you please help to review the change to MKL Dropout part? Thanks
apeforest closed issue #17366: Coredump running unit test with MKL Blas
URL: https://github.com/apache/incubator-mxnet/issues/17366
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apeforest commented on issue #17366: Coredump running unit test with MKL Blas
URL:
https://github.com/apache/incubator-mxnet/issues/17366#issuecomment-584486048
export KMP_DUPLICATE_LIB_OK=TRUE works. Closing this issue.
leezu commented on issue #17396: refactor: handle mshadow as cmake target
URL: https://github.com/apache/incubator-mxnet/pull/17396#issuecomment-584473786
There is cmake/ChooseBlas.cmake file. What do you mean?
This is an
TaoLv commented on issue #17396: refactor: handle mshadow as cmake target
URL: https://github.com/apache/incubator-mxnet/pull/17396#issuecomment-584466037
Sorry, why there is no BLAS/MKL related instructions in the cmake file? They
exist in the Makefile of mshadow. See,
yajiedesign commented on issue #17396: refactor: handle mshadow as cmake target
URL: https://github.com/apache/incubator-mxnet/pull/17396#issuecomment-584464914
LGTM
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from 6c61afb Random rotation (#16794)
add b40ac2c diag_indices_from (#17553)
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from 6c61afb Random rotation (#16794)
add b40ac2c diag_indices_from (#17553)
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xidulu commented on a change in pull request #17302: [numpy]add op
random.logistic, random.gumbel
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r377428122
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -7483,4 +7485,4 @@ def
haojin2 merged pull request #17553: Operator diag_indices_from [Numpy]
URL: https://github.com/apache/incubator-mxnet/pull/17553
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xidulu commented on a change in pull request #17302: [numpy]add op
random.logistic, random.gumbel
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r377426937
##
File path: python/mxnet/numpy/random.py
##
@@ -260,6 +261,180 @@ def lognormal(mean=0.0,
xidulu commented on a change in pull request #17302: [numpy]add op
random.logistic, random.gumbel
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r377427243
##
File path: python/mxnet/ndarray/numpy/random.py
##
@@ -227,6 +228,95 @@ def
xidulu commented on a change in pull request #17302: [numpy]add op
random.logistic, random.gumbel
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r377427161
##
File path: python/mxnet/numpy/random.py
##
@@ -260,6 +261,180 @@ def lognormal(mean=0.0,
xidulu commented on a change in pull request #17302: [numpy]add op
random.logistic, random.gumbel
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r377426937
##
File path: python/mxnet/numpy/random.py
##
@@ -260,6 +261,180 @@ def lognormal(mean=0.0,
xidulu commented on a change in pull request #17302: [numpy]add op
random.logistic, random.gumbel
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r377426714
##
File path: python/mxnet/symbol/numpy/random.py
##
@@ -251,6 +252,95 @@ def
ChaiBapchya commented on issue #17542: [OpPerf] Add norm, cast ops, remaining
optimizer ops
URL: https://github.com/apache/incubator-mxnet/pull/17542#issuecomment-584453774
Entire OpPerf Suite
CPU results :
https://gist.github.com/ChaiBapchya/1c26e5a904d9ce9342d61b29f195c5cf
Alicia1529 opened a new pull request #17563: [Numpy] add isposinf isneginf
isfinite
URL: https://github.com/apache/incubator-mxnet/pull/17563
## Description ##
add new numpy operators isposinf isneginf isfinite
This is an
anirudhacharya commented on issue #15994: ONNX import/export: Upsampling
URL: https://github.com/apache/incubator-mxnet/pull/15994#issuecomment-584447652
@jeremiedb @oeway @oriori I have asked( offline) @vandanavk to rebase the
PR. Once she does, I will review/merge the PR.
TaoLv commented on a change in pull request #16899: Enable MKL-DNN in pip
packages
URL: https://github.com/apache/incubator-mxnet/pull/16899#discussion_r377417142
##
File path: tools/staticbuild/README.md
##
@@ -45,6 +44,7 @@ CMAKE_STATICBUILD=1 tools/staticbuild/build.sh
eric-haibin-lin opened a new issue #17562: Fail to import MXNet in distributed
kvstore test
URL: https://github.com/apache/incubator-mxnet/issues/17562
The distributed kvstore test has been failing on the master branch:
```
[2020-02-10T20:44:37.605Z] + ../../tools/launch.py -n 4
szha commented on a change in pull request #16899: Enable MKL-DNN in pip
packages
URL: https://github.com/apache/incubator-mxnet/pull/16899#discussion_r377415689
##
File path: tools/staticbuild/README.md
##
@@ -45,6 +44,7 @@ CMAKE_STATICBUILD=1 tools/staticbuild/build.sh
TaoLv commented on issue #16899: Enable MKL-DNN in pip packages
URL: https://github.com/apache/incubator-mxnet/pull/16899#issuecomment-584445586
Thank you @samskalicky. I over looked these files when merging the master
branch. Will update them.
a550461053 commented on issue #17539: implement a c++ operator using other
outside functions in 'so' file
URL:
https://github.com/apache/incubator-mxnet/issues/17539#issuecomment-584443662
> @a550461053 are you using the c++ custom operator? if yes, you need to use
the
aaronmarkham opened a new pull request #17561: pin Sphinx due to autodocsumm
issue with v4.2.0
URL: https://github.com/apache/incubator-mxnet/pull/17561
## Description ##
Fixes #17560
Comin' in - haven't had a chance to run it through the full tests yet,
but this issue is
aaronmarkham opened a new issue #17560: [ci] [docs] Error blocking all PRs:
autodocsumm is incompatible with Sphinx 2.4.0
URL: https://github.com/apache/incubator-mxnet/issues/17560
## Description
CI and website builds are down due to an incompatibility in versions of
Sphinx and one of
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from e5d1574 [OpPerf] Implement all linalg ops (#17528)
add 6c61afb Random rotation (#16794)
No new
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from e5d1574 [OpPerf] Implement all linalg ops (#17528)
add 6c61afb Random rotation (#16794)
No new
zhreshold commented on issue #16794: Random rotation
URL: https://github.com/apache/incubator-mxnet/pull/16794#issuecomment-584437550
All green, merged! Thanks guys
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zhreshold merged pull request #16794: Random rotation
URL: https://github.com/apache/incubator-mxnet/pull/16794
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oriori commented on issue #15994: ONNX import/export: Upsampling
URL: https://github.com/apache/incubator-mxnet/pull/15994#issuecomment-584436187
I'd like to reiterate what @oeway said by first thanking you for working on
this. Also, please note there is no way to redesign a model around
TEChopra1000 commented on issue #17417: [Website][Doc] Gluon Custom Layers doc
rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17417#issuecomment-584391803
PR: https://github.com/apache/incubator-mxnet/pull/17435
TEChopra1000 commented on issue #17423: [Website][Doc] Gluon KL divergence link
rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17423#issuecomment-584391616
PR: https://github.com/apache/incubator-mxnet/pull/17435
TEChopra1000 commented on issue #17418: [Website][Doc] Gluon Parameter link
rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17418#issuecomment-584391752
PR: https://github.com/apache/incubator-mxnet/pull/17435
TEChopra1000 commented on issue #17420: [Website][Doc] Gluon hybridize
rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17420#issuecomment-584391718
PR: https://github.com/apache/incubator-mxnet/pull/17435
TEChopra1000 commented on issue #17422: [Website][Doc] Gluon Custom Loss Blocks
link rendering issues
URL:
https://github.com/apache/incubator-mxnet/issues/17422#issuecomment-584391660
PR: https://github.com/apache/incubator-mxnet/pull/17435
TEChopra1000 commented on issue #17421: [Website][Doc] Gluon Layers and Blocks
links rendering issues
URL:
https://github.com/apache/incubator-mxnet/issues/17421#issuecomment-584391683
PR: https://github.com/apache/incubator-mxnet/pull/17435
TEChopra1000 commented on issue #17424: [Website][Doc] Gluon Loss functions
LaTex rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17424#issuecomment-584391442
PR: https://github.com/apache/incubator-mxnet/pull/17435
ehsanmok closed issue #17424: [Website][Doc] Gluon Loss functions LaTex
rendering issue
URL: https://github.com/apache/incubator-mxnet/issues/17424
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ehsanmok closed issue #17423: [Website][Doc] Gluon KL divergence link rendering
issue
URL: https://github.com/apache/incubator-mxnet/issues/17423
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ehsanmok closed issue #17421: [Website][Doc] Gluon Layers and Blocks links
rendering issues
URL: https://github.com/apache/incubator-mxnet/issues/17421
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ehsanmok closed issue #17422: [Website][Doc] Gluon Custom Loss Blocks link
rendering issues
URL: https://github.com/apache/incubator-mxnet/issues/17422
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ehsanmok closed issue #17417: [Website][Doc] Gluon Custom Layers doc rendering
issue
URL: https://github.com/apache/incubator-mxnet/issues/17417
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ehsanmok closed issue #17420: [Website][Doc] Gluon hybridize rendering issue
URL: https://github.com/apache/incubator-mxnet/issues/17420
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TEChopra1000 commented on issue #17417: [Website][Doc] Gluon Custom Layers doc
rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17417#issuecomment-584385606
These links have been fixed. This issue has been resolved and this ticket
can be closed.
TEChopra1000 commented on issue #17420: [Website][Doc] Gluon hybridize
rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17420#issuecomment-584385248
These links have been fixed. This issue has been resolved and this ticket
can be closed.
TEChopra1000 commented on issue #17421: [Website][Doc] Gluon Layers and Blocks
links rendering issues
URL:
https://github.com/apache/incubator-mxnet/issues/17421#issuecomment-584384971
These links have been fixed. This issue has been resolved and this ticket
can be closed.
TEChopra1000 commented on issue #17422: [Website][Doc] Gluon Custom Loss Blocks
link rendering issues
URL:
https://github.com/apache/incubator-mxnet/issues/17422#issuecomment-584384667
These issues were resolved and this ticket can be closed.
TEChopra1000 commented on issue #17424: [Website][Doc] Gluon Loss functions
LaTex rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17424#issuecomment-584384196
This issue was resolved and this ticket can be closed.
TEChopra1000 commented on issue #17423: [Website][Doc] Gluon KL divergence link
rendering issue
URL:
https://github.com/apache/incubator-mxnet/issues/17423#issuecomment-584384439
This issue was resolved and this ticket can be closed.
ChaiBapchya commented on issue #17542: [OpPerf] Add norm, cast ops, remaining
optimizer ops
URL: https://github.com/apache/incubator-mxnet/pull/17542#issuecomment-584380964
Category specific operators gist :
https://gist.github.com/ChaiBapchya/8c4ffb924fe20de1297d53fb4d1a5b1e
ChaiBapchya commented on a change in pull request #17542: [OpPerf] Add norm,
cast ops, remaining optimizer ops
URL: https://github.com/apache/incubator-mxnet/pull/17542#discussion_r377338661
##
File path: benchmark/opperf/utils/ndarray_utils.py
##
@@ -75,10 +75,14 @@ def
ChaiBapchya commented on a change in pull request #17542: [OpPerf] Add norm,
cast ops, remaining optimizer ops
URL: https://github.com/apache/incubator-mxnet/pull/17542#discussion_r377338599
##
File path: benchmark/opperf/utils/ndarray_utils.py
##
@@ -44,10 +42,14 @@ def
ChaiBapchya commented on a change in pull request #17542: [OpPerf] Add norm,
cast ops, remaining optimizer ops
URL: https://github.com/apache/incubator-mxnet/pull/17542#discussion_r377338540
##
File path: benchmark/opperf/utils/benchmark_utils.py
##
@@ -67,28 +61,17 @@
connorgoggins commented on a change in pull request #17542: [OpPerf] Add norm,
cast ops, remaining optimizer ops
URL: https://github.com/apache/incubator-mxnet/pull/17542#discussion_r377333613
##
File path: benchmark/opperf/utils/ndarray_utils.py
##
@@ -75,10 +75,14 @@
connorgoggins commented on a change in pull request #17542: [OpPerf] Add norm,
cast ops, remaining optimizer ops
URL: https://github.com/apache/incubator-mxnet/pull/17542#discussion_r377333153
##
File path: benchmark/opperf/utils/benchmark_utils.py
##
@@ -67,28 +61,17 @@
connorgoggins commented on a change in pull request #17542: [OpPerf] Add norm,
cast ops, remaining optimizer ops
URL: https://github.com/apache/incubator-mxnet/pull/17542#discussion_r377333553
##
File path: benchmark/opperf/utils/ndarray_utils.py
##
@@ -44,10 +42,14 @@
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apeforest pushed a change to branch master
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from 9aa5088 [numpy]implement exponential backward (#17401)
add e5d1574 [OpPerf] Implement all linalg
apeforest merged pull request #17528: [OpPerf] Implement all linalg ops
URL: https://github.com/apache/incubator-mxnet/pull/17528
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from b65db3c [Large Tensor] Add LT support for NN optimizers and 1
activation function (#17444)
add 9aa5088
haojin2 merged pull request #17401: [numpy]implement exponential backward
URL: https://github.com/apache/incubator-mxnet/pull/17401
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leezu removed a comment on issue #17521: cmake: don't build PTX and 3.5 arch if
cuda arch detection fails
URL: https://github.com/apache/incubator-mxnet/pull/17521#issuecomment-583560030
ping @ptrendx
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leezu commented on issue #17521: cmake: don't build PTX and 3.5 arch if cuda
arch detection fails
URL: https://github.com/apache/incubator-mxnet/pull/17521#issuecomment-584319854
Ping @ptrendx
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from ae145cd [Numpy] Add sort op (#17393)
add b65db3c [Large Tensor] Add LT support for NN optimizers
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apeforest pushed a change to branch master
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from ae145cd [Numpy] Add sort op (#17393)
add b65db3c [Large Tensor] Add LT support for NN optimizers
apeforest merged pull request #17444: [Large Tensor] Add LT support for NN
optimizers and 1 activation function
URL: https://github.com/apache/incubator-mxnet/pull/17444
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apeforest commented on issue #16735: Use single-bit for mask in dropout operator
URL: https://github.com/apache/incubator-mxnet/pull/16735#issuecomment-584304458
@eric-haibin-lin The big slow down was due to the use of dynamic loop
scheduling in omp when assigning a chunk of 8 to each
rondogency commented on issue #17539: implement a c++ operator using other
outside functions in 'so' file
URL:
https://github.com/apache/incubator-mxnet/issues/17539#issuecomment-584301756
@a550461053 are you using the c++ custom operator? if yes, you need to use
the
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The following commit(s) were added to refs/heads/asf-site by this push:
new 95cd846 Bump the
samskalicky commented on issue #16899: Enable MKL-DNN in pip packages
URL: https://github.com/apache/incubator-mxnet/pull/16899#issuecomment-584255459
@TaoLv can you also update the cu102.mk files:
https://github.com/apache/incubator-mxnet/blob/master/make/staticbuild/linux_cu102.mk
access2rohit commented on issue #17528: [OpPerf] Implement all linalg ops
URL: https://github.com/apache/incubator-mxnet/pull/17528#issuecomment-584249914
@apeforest can you also review ?
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access2rohit commented on issue #17528: [OpPerf] Implement all linalg ops
URL: https://github.com/apache/incubator-mxnet/pull/17528#issuecomment-584249721
@mxnet-label-bot add [pr-awaiting-merge]
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leezu commented on issue #17503: Add Scala 2.12 and 2.13 cross-compilation
(#16438)
URL: https://github.com/apache/incubator-mxnet/pull/17503#issuecomment-584223720
Please CC the persons who contributed the respective example (see git
history of the file) in this issue.
leezu edited a comment on issue #17558: Window-gpu: [WinError 5] Access is
denied: 'C:\\Windows\\TEMP\\tmpfguakubg\\cmake-3.16.1-win64-x64\\bin\\cmake.exe'
URL:
https://github.com/apache/incubator-mxnet/issues/17558#issuecomment-584221214
This issue occurs due to a workaround for the
leezu commented on issue #17558: Window-gpu: [WinError 5] Access is denied:
'C:\\Windows\\TEMP\\tmpfguakubg\\cmake-3.16.1-win64-x64\\bin\\cmake.exe'
URL:
https://github.com/apache/incubator-mxnet/issues/17558#issuecomment-584221214
This issue occurs due to a workaround for the outdated
inkydragon commented on issue #16569: The Edit Pencil by the Julia Headers is
broken
URL:
https://github.com/apache/incubator-mxnet/issues/16569#issuecomment-584202504
This link should pointe to
https://github.com/apache/incubator-mxnet/blob/master/julia/docs/src/index.md
kpuatamazon opened a new pull request #17559: [MXNET-1446] Quantization:
intgemm matrix multiply wrappers
URL: https://github.com/apache/incubator-mxnet/pull/17559
## Description ##
This pull request adds wrappers to the intgemm matrix multiplication
library:
TaoLv commented on issue #17098: Disable OpenMP offloading support for
3rdparty/openmp
URL: https://github.com/apache/incubator-mxnet/pull/17098#issuecomment-584152928
I'm still seeing the PermissionError. Here is an issue for it.
https://github.com/apache/incubator-mxnet/issues/17558
TaoLv opened a new issue #17558: Window-gpu: [WinError 5] Access is denied:
'C:\\Windows\\TEMP\\tmpfguakubg\\cmake-3.16.1-win64-x64\\bin\\cmake.exe'
URL: https://github.com/apache/incubator-mxnet/issues/17558
## Description
```
[2020-02-10T14:01:25.341Z] Traceback (most recent call
szha commented on issue #17550: Adding scripts for nightly pip wheel builds
URL: https://github.com/apache/incubator-mxnet/pull/17550#issuecomment-584141055
The CD solution was recently broken by the incomplete removal of python2 in
#15990, which is being fixed in
szha commented on issue #17550: Adding scripts for nightly pip wheel builds
URL: https://github.com/apache/incubator-mxnet/pull/17550#issuecomment-584138207
As discussed on dev@ before, the CodeBuild solution can only be a stop-gap
solution to keep the flow, until the open CD pipeline is
szha commented on issue #17550: Adding scripts for nightly pip wheel builds
URL: https://github.com/apache/incubator-mxnet/pull/17550#issuecomment-584134522
@samskalicky this solution doesn't meet the requirement that CD jobs should
be open and manageable by all mxnet committers and PMC
szha closed pull request #17550: Adding scripts for nightly pip wheel builds
URL: https://github.com/apache/incubator-mxnet/pull/17550
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szha opened a new issue #17557: test_batchnorm is failing for
cu101/cu101mkl/cu102 builds in CD
URL: https://github.com/apache/incubator-mxnet/issues/17557
## Description
TaoLv commented on issue #17459: The FAQ link in README.md is dead
URL:
https://github.com/apache/incubator-mxnet/issues/17459#issuecomment-584123723
Hi @eyalroz, thank you for reporting the issue. Most of the faq topics have
been moved to the sidebar of
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