ArmageddonKnight commented on issue #11364: [MXNET-490] Added OpenLSTMRNN
together with benchmarks and Tensorboard callback routines.
URL: https://github.com/apache/incubator-mxnet/pull/11364#issuecomment-434936117
@ankkhedia Thank you so much for your reminder. I have addressed her
ArmageddonKnight commented on a change in pull request #11364: [MXNET-490]
Added OpenLSTMRNN together with benchmarks and Tensorboard callback routines.
URL: https://github.com/apache/incubator-mxnet/pull/11364#discussion_r229943760
##
File path:
ArmageddonKnight commented on a change in pull request #11364: [MXNET-490]
Added OpenLSTMRNN together with benchmarks and Tensorboard callback routines.
URL: https://github.com/apache/incubator-mxnet/pull/11364#discussion_r229943448
##
File path:
ArmageddonKnight commented on a change in pull request #11364: [MXNET-490]
Added OpenLSTMRNN together with benchmarks and Tensorboard callback routines.
URL: https://github.com/apache/incubator-mxnet/pull/11364#discussion_r229943448
##
File path:
yzhliu commented on issue #12690: [MXNET-1000] get Ndarray real value and form
it from a NDArray
URL: https://github.com/apache/incubator-mxnet/pull/12690#issuecomment-434932500
@terrytangyuan @gigasquid Thanks for comment. I think we all agree that we
should not print the entire data.
leezu commented on issue #13059: Refactor L2_normalization
URL: https://github.com/apache/incubator-mxnet/pull/13059#issuecomment-434923748
Thanks for your PR! Your current implementation will tend to underflow for
small values and overflow for large values. How about using a stable
wshuail opened a new issue #13074: Bug in bipartite_matching
URL: https://github.com/apache/incubator-mxnet/issues/13074
Hi when I use SSD for my own dataset, I found a bug in
mx.sym.contrib.bipartite_matching for mxnet 1.3.x.
it's easy to reproduce with the code as below. But maybe
wkcn commented on issue #13070: Cannot create large ndarray from numpy
URL:
https://github.com/apache/incubator-mxnet/issues/13070#issuecomment-434922718
Similar Issue: #13036
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yash0307 opened a new issue #13073: 3D version of mxnert.ndarray.UpSampling
URL: https://github.com/apache/incubator-mxnet/issues/13073
mxnert.ndarray.UpSampling checks if the data is in form: (batch_size,
channels, x,y) (that is, number of dimensions=4), however, I want to do
UpSampling
wkcn commented on issue #13036: fix operators to support large arrays.
URL:
https://github.com/apache/incubator-mxnet/issues/13036#issuecomment-434916277
@zheng-da
Maybe we can try to use `int32_t` for small for-loop, and `int64_t` for
large for-loop.
lanking520 commented on issue #13046: [MXNET-1155] Add scala packageTest utility
URL: https://github.com/apache/incubator-mxnet/pull/13046#issuecomment-434914574
One general question, is that possible to use one pom file to trigger all
the tests instead of defining a scala test target in
huangzhiyuan commented on issue #12980: Add reshape op supported by MKL-DNN
URL: https://github.com/apache/incubator-mxnet/pull/12980#issuecomment-434914352
@ankkhedia please take a view, ths :)
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ZhennanQin commented on issue #13059: Refactor L2_normalization
URL: https://github.com/apache/incubator-mxnet/pull/13059#issuecomment-434912864
> The original version implemented in mshadow expression template works both
for cpu and gpu; If you are only intereseted in an accelerated cpu
gigasquid commented on issue #12881: Improve the Clojure Package README to Make
it Easier to Get Started
URL: https://github.com/apache/incubator-mxnet/pull/12881#issuecomment-434903903
Thanks @aaronmarkham - All your feedback has now been incorporated :)
RogerChern commented on issue #13059: Refactor L2_normalization
URL: https://github.com/apache/incubator-mxnet/pull/13059#issuecomment-434903200
The original version implemented in mshadow expression template works both
for cpu and gpu; If you are only intereseted in an accelerated cpu
gigasquid commented on a change in pull request #12881: Improve the Clojure
Package README to Make it Easier to Get Started
URL: https://github.com/apache/incubator-mxnet/pull/12881#discussion_r229917802
##
File path: contrib/clojure-package/README.md
##
@@ -80,75 +83,66
gigasquid commented on a change in pull request #12881: Improve the Clojure
Package README to Make it Easier to Get Started
URL: https://github.com/apache/incubator-mxnet/pull/12881#discussion_r229917802
##
File path: contrib/clojure-package/README.md
##
@@ -80,75 +83,66
gigasquid commented on a change in pull request #12881: Improve the Clojure
Package README to Make it Easier to Get Started
URL: https://github.com/apache/incubator-mxnet/pull/12881#discussion_r229917533
##
File path: contrib/clojure-package/README.md
##
@@ -80,75 +83,66
janelu9 opened a new issue #13072: Does mxnet have a crf-loglikehood ?
URL: https://github.com/apache/incubator-mxnet/issues/13072
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gigasquid edited a comment on issue #12690: [MXNET-1000] get Ndarray real value
and form it from a NDArray
URL: https://github.com/apache/incubator-mxnet/pull/12690#issuecomment-434901131
Another reference is from
gigasquid commented on issue #12690: [MXNET-1000] get Ndarray real value and
form it from a NDArray
URL: https://github.com/apache/incubator-mxnet/pull/12690#issuecomment-434901131
Another reference is from
https://docs.scipy.org/doc/numpy/reference/generated/numpy.set_printoptions.html
azai91 commented on issue #12953: Update MKL-DNN dependency
URL: https://github.com/apache/incubator-mxnet/pull/12953#issuecomment-434897409
just adding this PR fixes the issue described here:
https://github.com/intel/mkl-dnn/issues/106
we have people facing this problem so this PR
ddavydenko commented on issue #13071: [WIP] add Java API docs generation
URL: https://github.com/apache/incubator-mxnet/pull/13071#issuecomment-434896411
Yup, looks good now. And yes, I don't see Java API mixed in with Scala API
in either docs, which is desired behavior.
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zhasheng pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 6fa0403 Bump the publish
aaronmarkham commented on issue #13071: [WIP] add Java API docs generation
URL: https://github.com/apache/incubator-mxnet/pull/13071#issuecomment-434895770
@ddavydenko Thanks for the check. I updated the preview urls for Scala. It
doesn't seem to have the javaapi in it... in the index or
ddavydenko edited a comment on issue #13071: [WIP] add Java API docs generation
URL: https://github.com/apache/incubator-mxnet/pull/13071#issuecomment-434894681
Even though URLs are different - they both seems to render javadoc
documentation for Java API. I think Scala URL should render
ddavydenko commented on issue #13071: [WIP] add Java API docs generation
URL: https://github.com/apache/incubator-mxnet/pull/13071#issuecomment-434894681
Even though URLs are different - they both seems to render javadoc
documentation for Java API. I think Scala URL should render existing
aaronmarkham opened a new pull request #13071: [WIP] add Java API docs
generation
URL: https://github.com/apache/incubator-mxnet/pull/13071
## Description ##
This PR splits out the Java API from the Scala API docs.
Currently WIP as I want to see what CI makes of it. My tests seem
ankkhedia commented on issue #11713: test_operator.test_deformable_psroipooling
has fixed seed that can mask flakiness
URL:
https://github.com/apache/incubator-mxnet/issues/11713#issuecomment-434888950
@Oh233 Did you get a chance to look into the fix as the PR #12178 didn't
help fixing
nikudyshko commented on issue #12966: Strange behaviour/possible bug with
mxnet::cpp::Symbol::Variable name argument
URL:
https://github.com/apache/incubator-mxnet/issues/12966#issuecomment-434888309
@ddavydenko Sorry for my late answer, was AFK for few days. I'm developing
application,
ankkhedia commented on issue #12063: MxNet Pre-trained Prediction Doc Not
Working
URL:
https://github.com/apache/incubator-mxnet/issues/12063#issuecomment-434887945
@prathik-naidu Did you get a chance to look into results after applying
normalization?
ankkhedia commented on issue #13052: Fix incorrect variable name in tutorial
code
URL: https://github.com/apache/incubator-mxnet/pull/13052#issuecomment-434886842
@wongjoel you can do an empty commit to retrigger CI
This is
wongjoel commented on issue #13052: Fix incorrect variable name in tutorial code
URL: https://github.com/apache/incubator-mxnet/pull/13052#issuecomment-434886493
@ankkhedia Thanks - I have no idea why there is a CI failure for `GPU: CMake
MKLDNN` - the commit should have only changed the
ankkhedia commented on issue #12815:
incubator-mxnet/3rdparty/mshadow/mshadow/./base.h:162:14: fatal error: cblas.h:
No such file or directory
URL:
https://github.com/apache/incubator-mxnet/issues/12815#issuecomment-434886043
@sahbiept Did the solutions suggested above worked for you?
sandeep-krishnamurthy commented on issue #11481: # updated the link as the
previous one was corrupted
URL: https://github.com/apache/incubator-mxnet/pull/11481#issuecomment-434885018
Closing the PR as this file does not exist anymore and the corrected link is
no more referenced in the
sandeep-krishnamurthy closed pull request #11481: # updated the link as the
previous one was corrupted
URL: https://github.com/apache/incubator-mxnet/pull/11481
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zachgk commented on a change in pull request #13038: [MXNET-918] Introduce
Random module / Refact code generation
URL: https://github.com/apache/incubator-mxnet/pull/13038#discussion_r229897662
##
File path:
zachgk commented on a change in pull request #13038: [MXNET-918] Introduce
Random module / Refact code generation
URL: https://github.com/apache/incubator-mxnet/pull/13038#discussion_r229901924
##
File path:
scala-package/macros/src/main/scala/org/apache/mxnet/SymbolMacro.scala
zachgk commented on a change in pull request #13038: [MXNET-918] Introduce
Random module / Refact code generation
URL: https://github.com/apache/incubator-mxnet/pull/13038#discussion_r229901549
##
File path:
scala-package/macros/src/main/scala/org/apache/mxnet/NDArrayMacro.scala
zheng-da commented on issue #13036: fix operators to support large arrays.
URL:
https://github.com/apache/incubator-mxnet/issues/13036#issuecomment-434882294
@wkcn in cpu, it shouldn't be a problem. I heard concerns on GPUs.
Potentially, we can use int64_t for CPU and int for GPU.
wkcn edited a comment on issue #12972: [MXNET-1174]Support np.longlong on Linux
and Fix issue #12843
URL: https://github.com/apache/incubator-mxnet/pull/12972#issuecomment-434880656
@eric-haibin-lin
it is related to NumPy.
If c_longlong is 128 bits, I think that
zheng-da commented on issue #13036: fix operators to support large arrays.
URL:
https://github.com/apache/incubator-mxnet/issues/13036#issuecomment-434882013
i'm fixing some of the operators. but we need a systematic fix. The problem
is everywhere. i'll provide a temp fix for some of the
wkcn commented on issue #12972: [MXNET-1174]Support np.longlong on Linux and
Fix issue #12843
URL: https://github.com/apache/incubator-mxnet/pull/12972#issuecomment-434880656
@eric-haibin-lin
it is related to NumPy.
If c_longlong is 128 bits, I think that
wkcn commented on issue #13036: fix operators to support large arrays.
URL:
https://github.com/apache/incubator-mxnet/issues/13036#issuecomment-434879773
@apeforest
will it drop the performance down If changing the type of iteration to
int64_t?
In PyTorch, the type of iteration is
Ishitori commented on issue #13068: Updates to several examples
URL: https://github.com/apache/incubator-mxnet/pull/13068#issuecomment-434875740
Looks good to me
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zhasheng pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 13ad595 removed unused header
szha closed pull request #13066: Remove unused header from engine.h
URL: https://github.com/apache/incubator-mxnet/pull/13066
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign
eric-haibin-lin opened a new issue #13070: Cannot create large ndarray from
numpy
URL: https://github.com/apache/incubator-mxnet/issues/13070
```
>>> import mxnet as mx
>>> import numpy as np
>>> a = np.empty((50,))
>>> a
array([0., 0., 0., ..., 0., 0., 0.])
>>>
ThomasDelteil commented on issue #13041: Updated recommenders example
URL: https://github.com/apache/incubator-mxnet/pull/13041#issuecomment-434871980
@Ishitori thanks, looks like my last minute changes broke everything :)
Doing one last full run and will push the changes
ankkhedia edited a comment on issue #13069: add Volta and Turing arch
URL: https://github.com/apache/incubator-mxnet/pull/13069#issuecomment-434870156
@yajiedesign Thanks for your contribution!
Request you to provide more description on the PR so that it is easier for
people to
ankkhedia commented on issue #13069: add Volta and Turing arch
URL: https://github.com/apache/incubator-mxnet/pull/13069#issuecomment-434870156
@yajiedesign Thanks for your contribution!
Request you to provide more description on the PR so that it is easier for
people to undertsand the
leleamol edited a comment on issue #12869: Python trained model gives different
features set in C++
URL:
https://github.com/apache/incubator-mxnet/issues/12869#issuecomment-434870012
@MyraBaba
According to the
leleamol commented on issue #12869: Python trained model gives different
features set in C++
URL:
https://github.com/apache/incubator-mxnet/issues/12869#issuecomment-434870012
@MyraBaba
According to the
Ishitori commented on issue #13041: Updated recommenders example
URL: https://github.com/apache/incubator-mxnet/pull/13041#issuecomment-434869454
Cannot comment on notebook - too big, so pasting comments here:
**demo1-MF**:
1)
ratings =
HyperZealot edited a comment on issue #12997: A better take forward kernel for
CPU
URL: https://github.com/apache/incubator-mxnet/pull/12997#issuecomment-434862551
I don't think the workloads provided by @rongzha1 is suitable for
determining the memory bandwidth, based on the following
HyperZealot commented on issue #12997: A better take forward kernel for CPU
URL: https://github.com/apache/incubator-mxnet/pull/12997#issuecomment-434862551
I don't think the workloads provided by @rongzha1 is suitable for
determining the memory bandwidth, based on the following arguments:
eric-haibin-lin commented on issue #12972: [MXNET-1174]Support np.longlong on
Linux and Fix issue #12843
URL: https://github.com/apache/incubator-mxnet/pull/12972#issuecomment-434861063
I'm a bit concerned that by c standard longlong requires at least 64 bit and
there's no guarantee it's
ThomasDelteil commented on issue #12542: [MXNET-949] Module API to Gluon API
tutorial
URL: https://github.com/apache/incubator-mxnet/pull/12542#issuecomment-434860204
@roywei going to go through the comments this afternoon and push an update
ThomasDelteil edited a comment on issue #12964: Update multi-task learning
example
URL: https://github.com/apache/incubator-mxnet/pull/12964#issuecomment-434858891
@aaronmarkham I am doing a first pass on the examples where I do one of:
- fix
- delete
- replace with Gluon
ThomasDelteil commented on issue #12964: Update multi-task learning example
URL: https://github.com/apache/incubator-mxnet/pull/12964#issuecomment-434858891
@aaronmarkham I am doing a first pass on the examples where I do one of:
- fix
- delete
- replace with Gluon
depending on
ThomasDelteil commented on issue #12961: Update module example
URL: https://github.com/apache/incubator-mxnet/pull/12961#issuecomment-434858420
@sandeep-krishnamurthy is it good to merge?
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ThomasDelteil commented on issue #12933: Update autoencoder example
URL: https://github.com/apache/incubator-mxnet/pull/12933#issuecomment-434857453
@ankkhedia @thomelane updated
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ankkhedia commented on issue #12933: Update autoencoder example
URL: https://github.com/apache/incubator-mxnet/pull/12933#issuecomment-434856682
@aaronmarkham Another example to be reviewed :)
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yajiedesign opened a new pull request #13069: add Volta and Turing arch
URL: https://github.com/apache/incubator-mxnet/pull/13069
## Description ##
add Volta and Turing arch
Volta sm70
Turing sm75
## Checklist ##
### Essentials ###
Please feel free to remove
apeforest commented on issue #13036: fix operators to support large arrays.
URL:
https://github.com/apache/incubator-mxnet/issues/13036#issuecomment-434853072
JIRA task created: https://issues.apache.org/jira/browse/MXNET-1185
apeforest commented on issue #13036: fix operators to support large arrays.
URL:
https://github.com/apache/incubator-mxnet/issues/13036#issuecomment-434852976
@wkcn is right. We need to chang int to index_t. I am busy with other tasks
now and can only come to this in one week. Let me know
ankkhedia commented on issue #13065: [MXNET-793] Virtual testing with Qemu,
refinement and extract test results to root MXNet folder
URL: https://github.com/apache/incubator-mxnet/pull/13065#issuecomment-434851620
@larroy Thanks for your contribution!
@mxnet-label-bot[
ankkhedia commented on issue #13066: Remove unused header from engine.h
URL: https://github.com/apache/incubator-mxnet/pull/13066#issuecomment-434851180
@apeforest Thanks for taking up the task simplify dependencies.
@mxnet-label-bot [pr-awaiting-review, backend]
ankkhedia commented on issue #13067: ONNX export: Set np.array type to float32
URL: https://github.com/apache/incubator-mxnet/pull/13067#issuecomment-434849664
@vandanavk Thanks for the contribution! need this to fix models in ONNX
Model Zoo.
@mxnet-label-bot [pr-awaiting-review,
ThomasDelteil opened a new pull request #13068: Updates to several examples
URL: https://github.com/apache/incubator-mxnet/pull/13068
## Description ##
Minor upgrade to several examples:
- reinforcement-learning/ddpg
- [ ] deprecated because of dependency on RLLAB
anirudhacharya commented on issue #13007: Image API docs error
URL:
https://github.com/apache/incubator-mxnet/issues/13007#issuecomment-434845151
click on mxnet.image and you will see it goes to the wrong place.
This is an
yajiedesign commented on issue #13040: Import and GPU init extremely slow on
Windows
URL:
https://github.com/apache/incubator-mxnet/issues/13040#issuecomment-434843640
Titan V must SM_70 arch.wait update
This is an
vandanavk commented on issue #13067: ONNX export: Set np.array type to float32
URL: https://github.com/apache/incubator-mxnet/pull/13067#issuecomment-434843500
@ankkhedia @anirudhacharya @Roshrini @zhreshold for review
This
harshp8l edited a comment on issue #13048: Updated CONTRIBUTERS.md to include
label-bot
URL: https://github.com/apache/incubator-mxnet/pull/13048#issuecomment-434843088
The mxnet-label-bot is committing so that it has a commit under its name on
the repo and when it is being referenced
harshp8l edited a comment on issue #13048: Updated CONTRIBUTERS.md to include
label-bot
URL: https://github.com/apache/incubator-mxnet/pull/13048#issuecomment-434843088
The mxnet-label-bot is committing so that it has a commit under its name on
the repo and when it is being referenced
harshp8l edited a comment on issue #13048: Updated CONTRIBUTERS.md to include
label-bot
URL: https://github.com/apache/incubator-mxnet/pull/13048#issuecomment-434843088
The mxnet-label-bot is committing so that it has a commit under its name on
the repo and when it is being referenced
apeforest commented on a change in pull request #13048: Updated CONTRIBUTERS.md
to include label-bot
URL: https://github.com/apache/incubator-mxnet/pull/13048#discussion_r229863010
##
File path: CONTRIBUTORS.md
##
@@ -58,6 +58,13 @@ who are willing to help maintaining and
harshp8l commented on issue #13048: Updated CONTRIBUTERS.md to include label-bot
URL: https://github.com/apache/incubator-mxnet/pull/13048#issuecomment-434843088
The mxnet-label-bot is committing so that it has a commit under its name on
the repo and when it is being referenced (i.e.
vandanavk opened a new pull request #13067: ONNX export: Set np.array type to
float32
URL: https://github.com/apache/incubator-mxnet/pull/13067
## Description ##
np.array calls set default dtype to float64 which is not supported by ONNX.
Setting these to float32.
Fixes
zachgk commented on a change in pull request #13046: [MXNET-1155] Add scala
packageTest utility
URL: https://github.com/apache/incubator-mxnet/pull/13046#discussion_r229861124
##
File path: Makefile
##
@@ -602,6 +602,14 @@ scalaclean:
(cd $(ROOTDIR)/scala-package;
apeforest opened a new pull request #13066: Remove unused header from engine.h
URL: https://github.com/apache/incubator-mxnet/pull/13066
## Description ##
There are very complicated dependencies in the current mxnet include folder.
This is an initial step to reduce unnecessary
ankkhedia commented on issue #12467: Add PolyScheduler which mimics the caffe
polynomial lr scheduler
URL: https://github.com/apache/incubator-mxnet/pull/12467#issuecomment-434837242
@bzcheeseman Sorry to hear that :(
@leleamol Could you please help @bzcheeseman if you know of any
larroy commented on issue #13048: Updated CONTRIBUTERS.md to include label-bot
URL: https://github.com/apache/incubator-mxnet/pull/13048#issuecomment-434836940
It's hilarious that it can't prevent spelling mistakes on the title of the
PR. ;-) Why are we committing under the label bot
larroy commented on a change in pull request #13046: [MXNET-1155] Add scala
packageTest utility
URL: https://github.com/apache/incubator-mxnet/pull/13046#discussion_r229855913
##
File path: Makefile
##
@@ -602,6 +602,14 @@ scalaclean:
(cd $(ROOTDIR)/scala-package;
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zhasheng pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new f958d39 Bump the publish
ankkhedia commented on issue #12380: Manually track num_max_thread
URL: https://github.com/apache/incubator-mxnet/pull/12380#issuecomment-434831878
@azai91 Could you please follow up on the comments given above?
This is an
ankkhedia commented on issue #12331: Moves f16c autodetection to its own cmake
module
URL: https://github.com/apache/incubator-mxnet/pull/12331#issuecomment-434830874
@szha @marcoabreu @nswamy @cjolivier01 Request you to review this PR as it
is blocking #10564
samskalicky commented on issue #12904: support upper triangular matrices in
linalg
URL: https://github.com/apache/incubator-mxnet/pull/12904#issuecomment-434828260
added some suggestions on cleaning up the names throughout to match the new
documentation. This is necessary for maintenance
samskalicky commented on a change in pull request #12904: support upper
triangular matrices in linalg
URL: https://github.com/apache/incubator-mxnet/pull/12904#discussion_r229846687
##
File path: src/operator/tensor/la_op_inline.h
##
@@ -493,11 +519,11 @@ struct
samskalicky commented on a change in pull request #12904: support upper
triangular matrices in linalg
URL: https://github.com/apache/incubator-mxnet/pull/12904#discussion_r229846545
##
File path: src/operator/tensor/la_op_inline.h
##
@@ -458,14 +483,15 @@ struct
samskalicky commented on a change in pull request #12904: support upper
triangular matrices in linalg
URL: https://github.com/apache/incubator-mxnet/pull/12904#discussion_r229846402
##
File path: src/operator/tensor/la_op_inline.h
##
@@ -430,14 +447,22 @@ struct
samskalicky commented on a change in pull request #12904: support upper
triangular matrices in linalg
URL: https://github.com/apache/incubator-mxnet/pull/12904#discussion_r229846100
##
File path: src/operator/tensor/la_op_inline.h
##
@@ -403,15 +417,18 @@ struct
MyraBaba commented on issue #12869: Python trained model gives different
features set in C++
URL:
https://github.com/apache/incubator-mxnet/issues/12869#issuecomment-434823928
Hi @leleamol
I am trying to integrate and testing your new inference.
do you know the
ankkhedia commented on issue #11778: [MXNET-483] C++ tests for mkldnn
convolution/deconvolution operator
URL: https://github.com/apache/incubator-mxnet/pull/11778#issuecomment-434825701
@mseth10 @zheng-da ping!
Could you please take a look?
samskalicky commented on a change in pull request #12904: support upper
triangular matrices in linalg
URL: https://github.com/apache/incubator-mxnet/pull/12904#discussion_r229842788
##
File path: src/operator/tensor/la_op.cc
##
@@ -227,10 +231,11 @@
samskalicky commented on a change in pull request #12904: support upper
triangular matrices in linalg
URL: https://github.com/apache/incubator-mxnet/pull/12904#discussion_r229844162
##
File path: src/operator/tensor/la_op.h
##
@@ -93,6 +104,9 @@ struct
samskalicky commented on a change in pull request #12904: support upper
triangular matrices in linalg
URL: https://github.com/apache/incubator-mxnet/pull/12904#discussion_r229843925
##
File path: src/operator/tensor/la_op.h
##
@@ -81,10 +81,21 @@ struct LaMatrixMultParam
apeforest commented on issue #13062: [WIP] Add header files required by horovod
URL: https://github.com/apache/incubator-mxnet/pull/13062#issuecomment-434824580
@rahul003 Yes, because mxnet/engine.h --> mxnet/base.h --> All these
submodules.
ankkhedia edited a comment on issue #12881: Improve the Clojure Package README
to Make it Easier to Get Started
URL: https://github.com/apache/incubator-mxnet/pull/12881#issuecomment-434819442
@kohr-h Travis build failure is not a blocker for PR merge as of now. It is
for informational
ankkhedia commented on issue #12881: Improve the Clojure Package README to Make
it Easier to Get Started
URL: https://github.com/apache/incubator-mxnet/pull/12881#issuecomment-434819442
Hi @kohr-h Travis build failure is not a blocker for PR merge as of now. It
is for informational
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