Zha0q1 commented on issue #15069: [WIP] Profiler RFC: Introducing new APIs
URL:
https://github.com/apache/incubator-mxnet/issues/15069#issuecomment-496783841
> > Why add a new profiler API get_summary() in the back-end rather than a
python parser utility that returns in JSON?
> > This
Zha0q1 commented on issue #15069: [WIP] Profiler RFC: Introducing new APIs
URL:
https://github.com/apache/incubator-mxnet/issues/15069#issuecomment-496782815
> I understand the value of getting the dump output in a different format
compared to tabular form. This can also be useful for
Zha0q1 edited a comment on issue #15069: [WIP] Profiler RFC: Introducing new
APIs
URL:
https://github.com/apache/incubator-mxnet/issues/15069#issuecomment-496782815
> I understand the value of getting the dump output in a different format
compared to tabular form. This can also be useful
CynthiaProtector removed a comment on issue #2710: elastic SGD
URL:
https://github.com/apache/incubator-mxnet/issues/2710#issuecomment-495824460
@sxjscience Besides, could you please provide the code implementation of
DownpourSGD algorithm.
perdasilva closed pull request #15022: [v1.5.x] Backport
test_bilinear_resize_op fix (#15011)
URL: https://github.com/apache/incubator-mxnet/pull/15022
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To respond to
ZhennanQin opened a new pull request #15089: Fix mkldnn backend when using
naive engine
URL: https://github.com/apache/incubator-mxnet/pull/15089
## Description ##
This can fix https://github.com/apache/incubator-mxnet/issues/15078 and
resolve all mkldnn related failures mentioned
larroy removed a comment on issue #14992: [MXNET-978] Support higher order
gradient for `log`.
URL: https://github.com/apache/incubator-mxnet/pull/14992#issuecomment-496750425
"I believe it would be better to have gradients defined for existing
backward, instead of a differentiable
larroy commented on a change in pull request #14992: [MXNET-978] Support higher
order gradient for `log`.
URL: https://github.com/apache/incubator-mxnet/pull/14992#discussion_r288364928
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -1069,13 +1069,73
xinyu-intel opened a new pull request #15088: [MKLDNN]Fix mkldnn deconvolution
forward with bias
URL: https://github.com/apache/incubator-mxnet/pull/15088
## Description ##
The deconv out_data need reorder to default to broadcast with bias.
@pengzhao-intel @TaoLv @ZhennanQin
larroy commented on issue #14992: [MXNET-978] Support higher order gradient for
`log`.
URL: https://github.com/apache/incubator-mxnet/pull/14992#issuecomment-496750425
"I believe it would be better to have gradients defined for existing
backward, instead of a differentiable gradient
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The following commit(s) were added to refs/heads/asf-site by this push:
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szha merged pull request #15065: [MXNET] Updated http://data.dmlc.ml/ links to
http://data.mxnet.io/
URL: https://github.com/apache/incubator-mxnet/pull/15065
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szha commented on issue #15025: Gluon DataLoader incorrectly terminates the
process pool in 1.4
URL:
https://github.com/apache/incubator-mxnet/issues/15025#issuecomment-496743488
@chandana1332 While we want to release 1.5.0 as soon as possible, we still
have a couple of PRs left before
larroy commented on a change in pull request #14613: [MXNET-978] Higher order
gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r288353926
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -83,7
larroy commented on a change in pull request #14613: [MXNET-978] Higher order
gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r288353926
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -83,7
aaronmarkham commented on a change in pull request #14987: Fix installation
dependencies
URL: https://github.com/apache/incubator-mxnet/pull/14987#discussion_r288351954
##
File path: docs/install/build_from_source.md
##
@@ -58,12 +58,12 @@ MXNet's newest and most popular
aaronmarkham commented on a change in pull request #15087: Fix R installation
instructions (windows / mac)
URL: https://github.com/apache/incubator-mxnet/pull/15087#discussion_r288348793
##
File path: docs/install/osx_setup.md
##
@@ -171,7 +171,10 @@ Add a soft link to
abhinavs95 commented on issue #15081: fix gluon bi-rnn cell single step unroll
URL: https://github.com/apache/incubator-mxnet/pull/15081#issuecomment-496734460
@mxnet-label-bot add [Gluon, RNN]
This is an automated message
szha commented on issue #15085: move amp test and change op support to warning
URL: https://github.com/apache/incubator-mxnet/pull/15085#issuecomment-496734256
@marcoabreu I intended to wait until the discussion concludes too. Also, I'd
like to remind you that vetos must be accompanied by
abhinavs95 commented on issue #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082#issuecomment-496734280
@mxnet-label-bot add [Doc, CUDA]
This is an automated message from the Apache Git
abhinavs95 commented on issue #15087: Fix R installation instructions (windows
/ mac)
URL: https://github.com/apache/incubator-mxnet/pull/15087#issuecomment-496733943
@mxnet-label-bot add [Doc, R]
This is an automated
szha commented on issue #15069: [WIP] Profiler RFC: Introducing new APIs
URL:
https://github.com/apache/incubator-mxnet/issues/15069#issuecomment-496726679
> Why add a new profiler API get_summary() in the back-end rather than a
python parser utility that returns in JSON?
This is we
abhinavs95 commented on issue #13143: [MXNET-1206] Support NDArray indexing
with None and Ellipsis
URL: https://github.com/apache/incubator-mxnet/pull/13143#issuecomment-496722601
@kohr-h Could you please address the review comments?
aaronmarkham closed issue #14375: beta.mxnet.io does not contain verification
step for installation (新版官网没有验证安装过程)
URL: https://github.com/apache/incubator-mxnet/issues/14375
This is an automated message from the Apache Git
aaronmarkham commented on issue #14375: beta.mxnet.io does not contain
verification step for installation (新版官网没有验证安装过程)
URL:
https://github.com/apache/incubator-mxnet/issues/14375#issuecomment-496722596
Added a PR for this here: https://github.com/mli/new-docs/pull/107
I'm going to
larroy commented on a change in pull request #14613: [MXNET-978] Higher order
gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r287533229
##
File path: src/operator/tensor/elemwise_binary_op_basic.cc
##
@@
abhinavs95 commented on issue #14714: inference using fp16 for c++ api
URL: https://github.com/apache/incubator-mxnet/pull/14714#issuecomment-496720503
@chengzhengxin can you please address the review comments?
This is an
abhinavs95 commented on issue #14717: An empty NDArray should have size 0
URL: https://github.com/apache/incubator-mxnet/pull/14717#issuecomment-496719911
@ziyuang any update on the PR? Also please fill the PR description with
relevant details.
abhinavs95 commented on issue #14898: prevent TRT_Logger to be destroyed before
TRT engine
URL: https://github.com/apache/incubator-mxnet/pull/14898#issuecomment-496718783
@Caenorst Could you have a look at the review comments?
aaronmarkham commented on issue #14375: beta.mxnet.io does not contain
verification step for installation (新版官网没有验证安装过程)
URL:
https://github.com/apache/incubator-mxnet/issues/14375#issuecomment-496718389
> > Hi @LittleFatHero I added this:
hetong007 commented on a change in pull request #15087: Fix R installation
instructions (windows / mac)
URL: https://github.com/apache/incubator-mxnet/pull/15087#discussion_r288331543
##
File path: docs/install/osx_setup.md
##
@@ -171,7 +171,10 @@ Add a soft link to the
aaronmarkham commented on issue #15087: Fix R installation instructions
(windows / mac)
URL: https://github.com/apache/incubator-mxnet/pull/15087#issuecomment-496717461
@hetong007 - please review.
This is an automated
roywei commented on issue #15022: [v1.5.x] Backport test_bilinear_resize_op fix
(#15011)
URL: https://github.com/apache/incubator-mxnet/pull/15022#issuecomment-496717478
we can close this now, 1.5.x is already synced with master on 05/26. I think
it includes the fix.
aaronmarkham commented on issue #14922: Unable to install mxnet in R 3.6.0
MacOSX
URL:
https://github.com/apache/incubator-mxnet/issues/14922#issuecomment-496716935
Hi @diyang - the packages for R 3.6 aren't out yet. I was able to get it to
work after downgrading to R v3.5.3, and
aaronmarkham commented on issue #14967: R installation is broken
URL:
https://github.com/apache/incubator-mxnet/issues/14967#issuecomment-496716786
Hi @aashudwivedi - please try it again. I was able to get it to work after
downgrading to R v3.5.3, and choosing the USA (IA) mirror... (60).
cjolivier01 commented on issue #15069: [WIP] Profiler RFC: Introducing new APIs
URL:
https://github.com/apache/incubator-mxnet/issues/15069#issuecomment-496716046
+1
This is an automated message from the Apache Git Service.
aaronmarkham opened a new pull request #15087: Fix R installation instructions
(windows / mac)
URL: https://github.com/apache/incubator-mxnet/pull/15087
## Description ##
Shows a warning about R v3.6 and provides links to installation archives for
older versions of R.
This is a
tomoncle commented on issue #14943: share java samples of mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/14943#issuecomment-496713016
@git-ness Maybe I didn't make it clear that "/files" is a common upload URL,
just a reminder that the upload was successful. That's all.
larroy commented on issue #14977: Add an utility for operator benchmarks
URL: https://github.com/apache/incubator-mxnet/pull/14977#issuecomment-496707487
https://github.com/apache/incubator-mxnet/issues/15069
This is an
IvyBazan commented on a change in pull request #14987: Fix installation
dependencies
URL: https://github.com/apache/incubator-mxnet/pull/14987#discussion_r288308183
##
File path: docs/install/build_from_source.md
##
@@ -58,12 +58,12 @@ MXNet's newest and most popular API
nofaviv commented on issue #14357: [Bug] Batchnorm running_var behaves
differently when using gpu vs. cpu
URL:
https://github.com/apache/incubator-mxnet/issues/14357#issuecomment-496693485
I have just encountered the same or similar problem. I am training on a GPU
using the python API.
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288299548
##
File path: tests/nightly/test_large_array.py
##
@@
ThomasDelteil commented on issue #14357: [Bug] Batchnorm running_var behaves
differently when using gpu vs. cpu
URL:
https://github.com/apache/incubator-mxnet/issues/14357#issuecomment-496685712
To clarify it is only an issue during training, the running Var won't be
computed correctly.
This is an automated email from the ASF dual-hosted git repository.
marcoabreu 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 e8cd9ce Bump the publish
reminisce opened a new pull request #15086: [numpy] Fix np branch after rebase
URL: https://github.com/apache/incubator-mxnet/pull/15086
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
larroy commented on a change in pull request #14977: Add an utility for
operator benchmarks
URL: https://github.com/apache/incubator-mxnet/pull/14977#discussion_r288286763
##
File path: benchmark/opperf/utils/op_registry_utils.py
##
@@ -0,0 +1,193 @@
+# Licensed to the
larroy commented on a change in pull request #14977: Add an utility for
operator benchmarks
URL: https://github.com/apache/incubator-mxnet/pull/14977#discussion_r288287180
##
File path: benchmark/opperf/utils/ndarray_utils.py
##
@@ -0,0 +1,95 @@
+# Licensed to the Apache
larroy commented on a change in pull request #14977: Add an utility for
operator benchmarks
URL: https://github.com/apache/incubator-mxnet/pull/14977#discussion_r288286311
##
File path: benchmark/opperf/utils/op_registry_utils.py
##
@@ -0,0 +1,193 @@
+# Licensed to the
larroy commented on a change in pull request #14977: Add an utility for
operator benchmarks
URL: https://github.com/apache/incubator-mxnet/pull/14977#discussion_r288285629
##
File path: benchmark/opperf/utils/op_registry_utils.py
##
@@ -0,0 +1,193 @@
+# Licensed to the
larroy commented on a change in pull request #14977: Add an utility for
operator benchmarks
URL: https://github.com/apache/incubator-mxnet/pull/14977#discussion_r288286190
##
File path: benchmark/opperf/utils/op_registry_utils.py
##
@@ -0,0 +1,193 @@
+# Licensed to the
larroy commented on a change in pull request #14977: Add an utility for
operator benchmarks
URL: https://github.com/apache/incubator-mxnet/pull/14977#discussion_r288284830
##
File path: benchmark/opperf/utils/op_registry_utils.py
##
@@ -0,0 +1,193 @@
+# Licensed to the
mseeger commented on issue #14357: [Bug] Batchnorm running_var behaves
differently when using gpu vs. cpu
URL:
https://github.com/apache/incubator-mxnet/issues/14357#issuecomment-496673935
Wow, this is pretty crazy, all sorts of frequently used models will fail on
CPU
stu1130 commented on a change in pull request #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082#discussion_r288273710
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anirudh2290 commented on issue #14973: [MXNET-1404] Added the GPU memory
profiler
URL: https://github.com/apache/incubator-mxnet/pull/14973#issuecomment-496661805
> ## Discussion
> * [x] Preprocessor Directives (1. 2.).
>
> * The reason why I included the GPU memory profiler
stu1130 commented on a change in pull request #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082#discussion_r288272047
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stu1130 commented on a change in pull request #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082#discussion_r288271265
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stu1130 commented on a change in pull request #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082#discussion_r288271265
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apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288268088
##
File path: tests/nightly/test_large_array.py
##
@@
szha opened a new pull request #15085: move amp test and change op support to
warning
URL: https://github.com/apache/incubator-mxnet/pull/15085
## Description ##
move amp test to follow naming convention for contrib features and change op
support to warning
## Checklist ##
This is an automated email from the ASF dual-hosted git repository.
marcoabreu 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 0c8499a Bump the publish
anirudh2290 commented on issue #15069: [WIP] Profiler RFC: Introducing new APIs
URL:
https://github.com/apache/incubator-mxnet/issues/15069#issuecomment-496652557
I understand the value of getting the dump output in a different format
compared to tabular form. This can also be useful for
ZhaoqiZhu edited a comment on issue #15070: CustomOp does not show up in
profiler output
URL:
https://github.com/apache/incubator-mxnet/issues/15070#issuecomment-496649800
Because of asynchronicity I think we need to call `mx.nd.waitall()` before
`profiler.set_state('stop')`.
I
ZhaoqiZhu commented on issue #15070: CustomOp does not show up in profiler
output
URL:
https://github.com/apache/incubator-mxnet/issues/15070#issuecomment-496649800
Because of asynchronicity I think we need to call mx.nd.waitall() before
profiler.set_state('stop').
I did that and
marcoabreu commented on issue #15069: [WIP] Profiler RFC: Introducing new APIs
URL:
https://github.com/apache/incubator-mxnet/issues/15069#issuecomment-496642257
Great proposal! I like that you implement this in the backend level to be
able to expose it to various frontends.
So
zhreshold commented on issue #15025: Gluon DataLoader incorrectly terminates
the process pool in 1.4
URL:
https://github.com/apache/incubator-mxnet/issues/15025#issuecomment-496638458
not sure yet
This is an automated
chandana1332 commented on issue #15025: Gluon DataLoader incorrectly terminates
the process pool in 1.4
URL:
https://github.com/apache/incubator-mxnet/issues/15025#issuecomment-496637599
Okay, I can add a test there.
What is the release date for 1.5?
zhreshold commented on issue #15025: Gluon DataLoader incorrectly terminates
the process pool in 1.4
URL:
https://github.com/apache/incubator-mxnet/issues/15025#issuecomment-496637246
Test cases are located in
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288242796
##
File path: tests/nightly/test_large_array.py
##
@@
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288242671
##
File path: tests/nightly/test_large_array.py
##
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aaronmarkham commented on issue #14949: [MXNET-1402] MXNet docs change for
1.4.1 release
URL: https://github.com/apache/incubator-mxnet/pull/14949#issuecomment-496634040
I updated CI... there's a run in progress, so we should see an update around
EOD.
aaronmarkham commented on issue #14855: [WIP] Jetson nano & TX installation
updates
URL: https://github.com/apache/incubator-mxnet/pull/14855#issuecomment-496633039
Rebasing to see if maybe the cache is fixed now...
This is
chandana1332 edited a comment on issue #15025: Gluon DataLoader incorrectly
terminates the process pool in 1.4
URL:
https://github.com/apache/incubator-mxnet/issues/15025#issuecomment-496631682
Yeah, I can.
Do you have instructions on what/how to test, etc?
Also, would this
chandana1332 commented on issue #15025: Gluon DataLoader incorrectly terminates
the process pool in 1.4
URL:
https://github.com/apache/incubator-mxnet/issues/15025#issuecomment-496631682
Yeah, I can.
Do you have instructions on what/how to test, etc?
zhreshold commented on issue #15025: Gluon DataLoader incorrectly terminates
the process pool in 1.4
URL:
https://github.com/apache/incubator-mxnet/issues/15025#issuecomment-496625155
@chandana1332 Yep, this is actually better. Would you like to contribute a
minor patch for it?
arcadiaphy edited a comment on issue #15007: Add matrix determinant operator in
linalg
URL: https://github.com/apache/incubator-mxnet/pull/15007#issuecomment-496617653
@mseeger I think many ordinary users are not experts in linear algebra, so
providing a set of basic linear blas/lapack
arcadiaphy edited a comment on issue #15007: Add matrix determinant operator in
linalg
URL: https://github.com/apache/incubator-mxnet/pull/15007#issuecomment-496617653
@mseeger I think many ordinary users are not experts in linear algebra, so
providing a set of basic linear blas/lapack
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288228378
##
File path: tests/nightly/test_large_array.py
##
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arcadiaphy edited a comment on issue #15007: Add matrix determinant operator in
linalg
URL: https://github.com/apache/incubator-mxnet/pull/15007#issuecomment-496617653
@mseeger I think many ordinary users are not experts in linear algebra, so
providing a set of basic linear blas/lapack
This is an automated email from the ASF dual-hosted git repository.
apeforest pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from bbab527 NER example: fix divisions by zero (#15068)
add 8a9dd72 [MXNET-978] Support higher order
apeforest merged pull request #14992: [MXNET-978] Support higher order gradient
for `log`.
URL: https://github.com/apache/incubator-mxnet/pull/14992
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arcadiaphy commented on issue #15007: Add matrix determinant operator in linalg
URL: https://github.com/apache/incubator-mxnet/pull/15007#issuecomment-496617653
@mseeger I think many ordinary users are not experts in linear algebra, so
providing a set of basic linear blas/lapack routines
larroy commented on issue #14992: [MXNET-978] Support higher order gradient for
`log`.
URL: https://github.com/apache/incubator-mxnet/pull/14992#issuecomment-496616224
Lgtm
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access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288219193
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aaronmarkham commented on a change in pull request #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082#discussion_r288216699
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aaronmarkham commented on a change in pull request #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082#discussion_r288215027
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aaronmarkham commented on a change in pull request #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082#discussion_r288215352
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marcoabreu commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288215740
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access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288215271
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File path: tests/nightly/test_large_array.py
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apeforest commented on issue #14978: Flaky Test:
test_tensorrt_lenet5.test_tensorrt_inference
URL:
https://github.com/apache/incubator-mxnet/issues/14978#issuecomment-496608308
https://github.com/apache/incubator-mxnet/pull/15014 has fixed this issue.
Closing it.
apeforest closed issue #14978: Flaky Test:
test_tensorrt_lenet5.test_tensorrt_inference
URL: https://github.com/apache/incubator-mxnet/issues/14978
This is an automated message from the Apache Git Service.
To respond to the
apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288212803
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File path: tests/nightly/test_large_array.py
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apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288212141
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File path: tests/nightly/test_large_array.py
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apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288211913
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File path: tests/nightly/test_large_array.py
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apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288211634
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File path: tests/nightly/test_large_array.py
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access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288206981
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File path: tests/nightly/test_large_array.py
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access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288205769
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File path: tests/nightly/test_large_array.py
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apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r288201463
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File path: tests/nightly/test_large_array.py
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lanking520 commented on issue #14943: share java samples of mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/14943#issuecomment-496591465
@tomoncle Thanks for working on this. The scope of the example for Java API
is limited to the basic functionalities demo. Your use use case
frankfliu commented on issue #15080: tensorrt.tensorrt_bind results NDArray
with NaN
URL:
https://github.com/apache/incubator-mxnet/issues/15080#issuecomment-496589779
@mxnet-label-bot add [backend, bug]
This is an
frankfliu commented on issue #15084: MXNet GPU MKLDNN Build failure
URL:
https://github.com/apache/incubator-mxnet/issues/15084#issuecomment-496588488
@mxnet-label-bot add [mkldnn, build, CI]
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