[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #16345: Flaky test: test_preloaded_multi_sgd

[GitBox]

mxnet-label-bot commented on issue #16345: Flaky test: test_preloaded_multi_sgd
URL: 
https://github.com/apache/incubator-mxnet/issues/16345#issuecomment-536870264
 
 
   Hey, this is the MXNet Label Bot. 
Thank you for submitting the issue! I will try and suggest some labels so 
that the appropriate MXNet community members can help resolve it. 
Here are my recommended label(s): Test, Flaky


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[GitHub] [incubator-mxnet] szha opened a new issue #16345: Flaky test: test_preloaded_multi_sgd

[GitBox]

szha opened a new issue #16345: Flaky test: test_preloaded_multi_sgd
URL: https://github.com/apache/incubator-mxnet/issues/16345
 
 
   
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-16343/1/pipeline#step-476-log-1053
   
   Likely caused by #16122 in which the test was added.
   
   cc @Caenorst @apeforest 


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[GitHub] [incubator-mxnet] eric-haibin-lin closed issue #10051: Nondeterministic order of data in a data batch from NDArrayIter

[GitBox]

eric-haibin-lin closed issue #10051: Nondeterministic order of data in a data 
batch from NDArrayIter
URL: https://github.com/apache/incubator-mxnet/issues/10051
 
 
   


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[GitHub] [incubator-mxnet] fullfanta opened a new pull request #16344: simple typo error in NEWS.md

[GitBox]

fullfanta opened a new pull request #16344: simple typo error in NEWS.md
URL: https://github.com/apache/incubator-mxnet/pull/16344
 
 
   ## Description ##
   (Brief description on what this PR is about)
* I found simple typo error in NEWS.md.
  * guid -> guide
   
   
   


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[GitHub] [incubator-mxnet] rongzha1 commented on a change in pull request #16259: [mkldnn-v1.0] Add MKL-DNN deconv

[GitBox]

rongzha1 commented on a change in pull request #16259: [mkldnn-v1.0] Add 
MKL-DNN  deconv
URL: https://github.com/apache/incubator-mxnet/pull/16259#discussion_r329850707
 
 

 ##
 File path: src/operator/nn/mkldnn/mkldnn_base-inl.h
 ##
 @@ -658,6 +645,12 @@ struct MKLDNNPostEltwiseParam {
   float alpha = 0.f;
   float beta = 1.f;
 };
+void MKLDNNRun(mxnet::FComputeEx fn,
 
 Review comment:
   done


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[GitHub] [incubator-mxnet] rongzha1 commented on a change in pull request #16259: [mkldnn-v1.0] Add MKL-DNN deconv

[GitBox]

rongzha1 commented on a change in pull request #16259: [mkldnn-v1.0] Add 
MKL-DNN  deconv
URL: https://github.com/apache/incubator-mxnet/pull/16259#discussion_r329850734
 
 

 ##
 File path: src/operator/nn/mkldnn/mkldnn_base.cc
 ##
 @@ -570,6 +570,32 @@ bool MKLDNNStorageType(const nnvm::NodeAttrs ,
   return dispatched;
 }
 
+inline static const std::vector GetMKLDNNInputArray(const 
std::vector ) {
+  std::vector ret;
+  ret.reserve(inputs.size());
+  for (const auto  : inputs) {
+if (in.IsView() && in.IsMKLDNNData()) {
+  ret.push_back(in.Reorder2Default());
+} else {
+  ret.push_back(in);
+}
+  }
+  return ret;
+}
+void MKLDNNRun(mxnet::FComputeEx fn,
 
 Review comment:
   done
   


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[GitHub] [incubator-mxnet] reminisce commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

reminisce commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536817773
 
 
   @ptrendx Thank you for helping resolve this issue.


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[GitHub] [incubator-mxnet] rondogency commented on a change in pull request #15921: [WIP] dynamic custom operator support

[GitBox]

rondogency commented on a change in pull request #15921: [WIP] dynamic custom 
operator support
URL: https://github.com/apache/incubator-mxnet/pull/15921#discussion_r329836864
 
 

 ##
 File path: example/lib_ops/gemm_lib.cc
 ##
 @@ -123,13 +114,17 @@ MXReturnValue backward(std::map attrs,
 
   std::cout << "n: " << n << " k: " << k << " m: " << m << std::endl;
 
-  float At[n*k], Bt[k*m];
+  float *At = new float[n*k];
+  float *Bt = new float[k*m];
+
   transpose(A, At, n, k);
   transpose(B, Bt, k, m);
 
   gemm(dC, Bt, dA, n, k, m);
   gemm(At, dC, dB, n, k, m);
 
+  free(At);
 
 Review comment:
   thanks for pointing it out!


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[incubator-mxnet] branch master updated (810e67c -> 097deff)

[marcoabreu]

This is an automated email from the ASF dual-hosted git repository.

marcoabreu pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


from 810e67c  Add fast implementation of LARS (#16122)
 add 097deff  add 'Release' cmake flag (#16294)

No new revisions were added by this update.

Summary of changes:
 cmake/cmake_options.yml  |  2 +-
 .../src/pages/get_started/build_from_source.md   | 16 
 docs/static_site/src/pages/get_started/c_plus_plus.md|  2 +-
 docs/static_site/src/pages/get_started/ubuntu_setup.md   |  3 +++
 4 files changed, 13 insertions(+), 10 deletions(-)

[GitHub] [incubator-mxnet] marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536796521
 
 
   Thanks everyone!


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[GitHub] [incubator-mxnet] marcoabreu merged pull request #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

marcoabreu merged pull request #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294
 
 
   


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[GitHub] [incubator-mxnet] szha opened a new pull request #16343: [COMNMUNITY] add code of conduct and conflict resolution guide

[GitBox]

szha opened a new pull request #16343: [COMNMUNITY] add code of conduct and 
conflict resolution guide
URL: https://github.com/apache/incubator-mxnet/pull/16343
 
 
   ## Description ##
   add code of conduct and conflict resolution guide
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [x] Changes are complete (i.e. I finished coding on this PR)
   
   ### Changes ###
   - [x] add code of conduct and conflict resolution guide
   


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[GitHub] [incubator-mxnet] marcoabreu commented on a change in pull request #16342: adding redirects so that old website API links surfaced from searches

[GitBox]

marcoabreu commented on a change in pull request #16342: adding redirects so 
that old website API links surfaced from searches
URL: https://github.com/apache/incubator-mxnet/pull/16342#discussion_r329827797
 
 

 ##
 File path: docs/static_site/src/.htaccess
 ##
 @@ -1,4 +1,3 @@
-Options -Indexes
 
 Review comment:
   Could you elaborate? I think we prefer running a 404 page rather than 
displaying the directory index


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[GitHub] [incubator-mxnet] wkcn commented on a change in pull request #15921: [WIP] dynamic custom operator support

[GitBox]

wkcn commented on a change in pull request #15921: [WIP] dynamic custom 
operator support
URL: https://github.com/apache/incubator-mxnet/pull/15921#discussion_r329825089
 
 

 ##
 File path: example/lib_ops/gemm_lib.cc
 ##
 @@ -123,13 +114,17 @@ MXReturnValue backward(std::map attrs,
 
   std::cout << "n: " << n << " k: " << k << " m: " << m << std::endl;
 
-  float At[n*k], Bt[k*m];
+  float *At = new float[n*k];
+  float *Bt = new float[k*m];
+
   transpose(A, At, n, k);
   transpose(B, Bt, k, m);
 
   gemm(dC, Bt, dA, n, k, m);
   gemm(At, dC, dB, n, k, m);
 
+  free(At);
 
 Review comment:
   delete []At;
   delete []Bt;
   
   new and delete are matching, and malloc and free are matching.


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[GitHub] [incubator-mxnet] ptrendx commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

ptrendx commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536787567
 
 
   @reminisce Ok, I assigned myself to that issue.


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[GitHub] [incubator-mxnet] ThomasDelteil opened a new pull request #16342: adding redirects so that old website API links surfaced from searches

[GitBox]

ThomasDelteil opened a new pull request #16342: adding redirects so that old 
website API links surfaced from searches
URL: https://github.com/apache/incubator-mxnet/pull/16342
 
 
   Reopened from @sad- PR


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[GitHub] [incubator-mxnet] ThomasDelteil commented on issue #16288: adding redirects so that old website API links surfaced from searches

[GitBox]

ThomasDelteil commented on issue #16288: adding redirects so that old website 
API links surfaced from searches
URL: https://github.com/apache/incubator-mxnet/pull/16288#issuecomment-536784886
 
 
   closing and reopening under my own fork because current hypothesis is that 
"sad-" breaks the CI somewhere in bash


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[GitHub] [incubator-mxnet] ThomasDelteil closed pull request #16288: adding redirects so that old website API links surfaced from searches

[GitBox]

ThomasDelteil closed pull request #16288: adding redirects so that old website 
API links surfaced from searches
URL: https://github.com/apache/incubator-mxnet/pull/16288
 
 
   


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #16340: Installs python-dateutil 1.5 fails sanity pipeline

[GitBox]

ChaiBapchya commented on issue #16340: Installs python-dateutil 1.5 fails 
sanity pipeline
URL: 
https://github.com/apache/incubator-mxnet/issues/16340#issuecomment-536783523
 
 
   
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fsanity/detail/master/1091/pipeline


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[GitHub] [incubator-mxnet] zhreshold opened a new pull request #16341: [New Op] Add deformable conv v2

[GitBox]

zhreshold opened a new pull request #16341: [New Op] Add deformable conv v2
URL: https://github.com/apache/incubator-mxnet/pull/16341
 
 
   ## Description ##
   Add Deformable Convolution operators and corresponding gluon block.
   This is a PR that follows the closed PR: #15552 
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to 
the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) 
created (except PRs with tiny changes)
   - [x] Changes are complete (i.e. I finished coding on this PR)
   - [ ] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding 
a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing 
distributed kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a 
new build option with NCCL)
   - [x] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments 
are documented. 
   - For new examples, README.md is added to explain the what the example does, 
the source of the dataset, expected performance on test set and reference to 
the original paper if applicable
   - Check the API doc at 
https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
   - [ ] To the my best knowledge, examples are either not affected by this 
change, or have been fixed to be compatible with this change
   
   ### Changes ###
   - [ ] Feature1, tests, (and when applicable, API doc)
   - [ ] Feature2, tests, (and when applicable, API doc)
   
   ## Comments ##
   - If this change is a backward incompatible change, why must this change be 
made.
   - Interesting edge cases to note here
   


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #16337: nmmmmmmmmmmmmBenchmark

[GitBox]

ChaiBapchya commented on issue #16337: nBenchmark
URL: https://github.com/apache/incubator-mxnet/pull/16337#issuecomment-536775568
 
 
   @prateekpamecha1511 Thanks for contributing? You might want to rebase this 
PR, looks like you are merging other people's PRs as well


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[GitHub] [incubator-mxnet] ChaiBapchya edited a comment on issue #16340: Installs python-dateutil 1.5 fails sanity pipeline

[GitBox]

ChaiBapchya edited a comment on issue #16340: Installs python-dateutil 1.5 
fails sanity pipeline
URL: 
https://github.com/apache/incubator-mxnet/issues/16340#issuecomment-536775093
 
 
   PR #16336 
   
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fsanity/detail/PR-16336/1/pipeline


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #16340: Installs python-dateutil 1.5 fails sanity pipeline

[GitBox]

ChaiBapchya commented on issue #16340: Installs python-dateutil 1.5 fails 
sanity pipeline
URL: 
https://github.com/apache/incubator-mxnet/issues/16340#issuecomment-536775093
 
 
   
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fsanity/detail/PR-16336/1/pipeline


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[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #16340: Installs python-dateutil 1.5 fails sanity pipeline

[GitBox]

mxnet-label-bot commented on issue #16340: Installs python-dateutil 1.5 fails 
sanity pipeline
URL: 
https://github.com/apache/incubator-mxnet/issues/16340#issuecomment-536775046
 
 
   Hey, this is the MXNet Label Bot. 
Thank you for submitting the issue! I will try and suggest some labels so 
that the appropriate MXNet community members can help resolve it. 
Here are my recommended label(s): Installation


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[GitHub] [incubator-mxnet] ChaiBapchya opened a new issue #16340: Installs python-dateutil 1.5 fails sanity pipeline

[GitBox]

ChaiBapchya opened a new issue #16340: Installs python-dateutil 1.5 fails 
sanity pipeline
URL: https://github.com/apache/incubator-mxnet/issues/16340
 
 
   ```
   ERROR: botocore 1.12.232 has requirement python-dateutil<3.0.0,>=2.1; 
python_version >= "2.7", but you'll have python-dateutil 1.5 which is 
incompatible.
   
   ERROR: pandas 0.24.2 has requirement python-dateutil>=2.5.0, but you'll have 
python-dateutil 1.5 which is incompatible.
   
   ERROR: matplotlib 2.2.4 has requirement python-dateutil>=2.1, but you'll 
have python-dateutil 1.5 which is incompatible.
   
   Installing collected packages: python-dateutil
   
 Found existing installation: python-dateutil 2.8.0
   
   Uninstalling python-dateutil-2.8.0:
   
 Successfully uninstalled python-dateutil-2.8.0
   
   Successfully installed python-dateutil-1.5
   ```


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #16336: S3 upload artifacts

[GitBox]

ChaiBapchya commented on issue #16336: S3 upload artifacts
URL: https://github.com/apache/incubator-mxnet/pull/16336#issuecomment-536768448
 
 
   Correct plugin.
   Yes I tested it with dev.
   Added it to prod.
   
   Any recommendation where I should document this workflow?


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[GitHub] [incubator-mxnet] reminisce commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

reminisce commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536764956
 
 
   @ptrendx Thanks for the detailed analysis. That's very helpful. The kernel 
currently throws the error is `reduce_kernel_M1`. That would be the best if you 
guys can apply the fix since you guys are experts in this.
   
   @marcoabreu I have created an 
[issue](https://github.com/apache/incubator-mxnet/issues/16338) for tracking 
the progress of fixing this problem. Please kindly consider unblocking this PR 
from being merged.


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[GitHub] [incubator-mxnet] ppolmoadip opened a new issue #16339: I have a question about a repository on GitHub

[GitBox]

ppolmoadip opened a new issue #16339: I have a question about a repository on 
GitHub
URL: https://github.com/apache/incubator-mxnet/issues/16339
 
 
   Note: Providing complete information in the most concise form is the best 
way to get help. This issue template serves as the checklist for essential 
information to most of the technical issues and bug reports. For non-technical 
issues and feature requests, feel free to present the information in what you 
believe is the best form.
   
   For Q & A and discussion, please start a discussion thread at 
https://discuss.mxnet.io 
   
   ## Description
   (Brief description of the problem in no more than 2 sentences.)
   
   ## Environment info (Required)
   
   ```
   What to do:
   1. Download the diagnosis script from 
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
   2. Run the script using `python diagnose.py` and paste its output here.
   
   ```
   
   Package used (Python/R/Scala/Julia):
   (I'm using ...)
   
   For Scala user, please provide:
   1. Java version: (`java -version`)
   2. Maven version: (`mvn -version`)
   3. Scala runtime if applicable: (`scala -version`)
   
   For R user, please provide R `sessionInfo()`:
   
   ## Build info (Required if built from source)
   
   Compiler (gcc/clang/mingw/visual studio):
   
   MXNet commit hash:
   (Paste the output of `git rev-parse HEAD` here.)
   
   Build config:
   (Paste the content of config.mk, or the build command.)
   
   ## Error Message:
   (Paste the complete error message, including stack trace.)
   
   ## Minimum reproducible example
   (If you are using your own code, please provide a short script that 
reproduces the error. Otherwise, please provide link to the existing example.)
   
   ## Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1.
   2.
   
   ## What have you tried to solve it?
   
   1.
   2.
   


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[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #16339: I have a question about a repository on GitHub

[GitBox]

mxnet-label-bot commented on issue #16339: I have a question about a repository 
on GitHub
URL: 
https://github.com/apache/incubator-mxnet/issues/16339#issuecomment-536760718
 
 
   Hey, this is the MXNet Label Bot. 
Thank you for submitting the issue! I will try and suggest some labels so 
that the appropriate MXNet community members can help resolve it. 
Here are my recommended label(s): Test


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[incubator-mxnet] branch benchmark updated (e92870a -> 19a5b88)

[apeforest]

This is an automated email from the ASF dual-hosted git repository.

apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


from e92870a  Revert "Merge remote-tracking branch 'Jerryzcn/pr-rcnn' into 
benchmark"
 add 4fd1f16  Add mask target generator operator for Mask-RCNN
 add c02ec17  Disable the unit test for CPU default ctx
 add 14d0817  Address PR comments
 add 19a5b88  Merge remote-tracking branch 'Kh4L/mrcnn_mask_target_op' into 
benchmark

No new revisions were added by this update.

Summary of changes:
 src/operator/contrib/mrcnn_target-inl.h | 132 +++
 src/operator/contrib/mrcnn_target.cu| 278 
 tests/python/unittest/test_operator.py  |  57 +++
 3 files changed, 467 insertions(+)
 create mode 100644 src/operator/contrib/mrcnn_target-inl.h
 create mode 100644 src/operator/contrib/mrcnn_target.cu

[incubator-mxnet] branch benchmark updated (a5e2179 -> e92870a)

[apeforest]

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apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


from a5e2179  Merge remote-tracking branch 'Jerryzcn/pr-rcnn' into benchmark
 add e92870a  Revert "Merge remote-tracking branch 'Jerryzcn/pr-rcnn' into 
benchmark"

No new revisions were added by this update.

Summary of changes:
 src/operator/contrib/bounding_box-inl.h| 278 -
 src/operator/contrib/bounding_box.cc   |  43 
 src/operator/contrib/bounding_box.cu   |   7 -
 src/operator/contrib/roi_align.cc  |  11 +-
 src/operator/contrib/roi_align.cu  |   6 -
 src/operator/tensor/amp_cast.h |   9 +-
 tests/python/unittest/test_contrib_operator.py |  18 --
 7 files changed, 4 insertions(+), 368 deletions(-)

[GitHub] [incubator-mxnet] ptrendx edited a comment on issue #15589: [Discussion] 1.6.0 Roadmap

[GitBox]

ptrendx edited a comment on issue #15589: [Discussion] 1.6.0 Roadmap
URL: 
https://github.com/apache/incubator-mxnet/issues/15589#issuecomment-526373840
 
 
   We have multiple improvements to BERT inference and training speed that we 
would like to be part of 1.6 release:
- [x] Softmax optimizations (#15545 )
- [ ] Pointwise fusion for GPU (#15167 )
- [ ] Eliminate common expressions (#15657 )
- [x] Bias speed improvements (#16039 )
- [ ] Aggregated AdamW optimizer (not yet PR'ed)
- [ ] Aggregated zeroing of the gradients (not yet PR'ed)
- [x] Aggregated sum of squares operator (also used in LARS, #16122)
- [ ] Embedding gradient optimization (not yet PR'ed)
- [ ] Faster multihead attention operator (not yet PR'ed)


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[incubator-mxnet] branch master updated (66f1656 -> 810e67c)

[apeforest]

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apeforest pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


from 66f1656  [MXNET-978] Higher Order Gradient Support `arcsinh`, 
`arccosh`. (#15530)
 add 810e67c  Add fast implementation of LARS (#16122)

No new revisions were added by this update.

Summary of changes:
 python/mxnet/optimizer/optimizer.py| 271 -
 src/operator/contrib/multi_lars-inl.h  | 100 +++
 src/operator/contrib/multi_lars.cc |  56 
 .../multi_lars.cu} |  12 +-
 src/operator/contrib/multi_sum_sq-inl.h| 100 +++
 src/operator/contrib/multi_sum_sq.cc   |  84 ++
 src/operator/contrib/multi_sum_sq.cu   | 173 +++
 src/operator/contrib/preloaded_multi_sgd-inl.h | 332 +
 src/operator/contrib/preloaded_multi_sgd.cc| 245 +++
 .../{amp_graph_pass.cc => preloaded_multi_sgd.cu}  |  44 +--
 .../lenet5_train.py => nightly/test_optimizer.py}  |  67 +++--
 tests/python/gpu/test_operator_gpu.py  | 153 ++
 12 files changed, 1567 insertions(+), 70 deletions(-)
 create mode 100644 src/operator/contrib/multi_lars-inl.h
 create mode 100644 src/operator/contrib/multi_lars.cc
 copy src/operator/{numpy/np_broadcast_reduce_op_index.cu => 
contrib/multi_lars.cu} (77%)
 create mode 100644 src/operator/contrib/multi_sum_sq-inl.h
 create mode 100644 src/operator/contrib/multi_sum_sq.cc
 create mode 100644 src/operator/contrib/multi_sum_sq.cu
 create mode 100644 src/operator/contrib/preloaded_multi_sgd-inl.h
 create mode 100755 src/operator/contrib/preloaded_multi_sgd.cc
 copy src/operator/contrib/{amp_graph_pass.cc => preloaded_multi_sgd.cu} (55%)
 copy tests/{python/tensorrt/lenet5_train.py => nightly/test_optimizer.py} (58%)

[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #16338: Reduce op throws "too many resources requested for launch"

[GitBox]

mxnet-label-bot commented on issue #16338: Reduce op throws "too many resources 
requested for launch"
URL: 
https://github.com/apache/incubator-mxnet/issues/16338#issuecomment-536755898
 
 
   Hey, this is the MXNet Label Bot. 
Thank you for submitting the issue! I will try and suggest some labels so 
that the appropriate MXNet community members can help resolve it. 



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[GitHub] [incubator-mxnet] apeforest merged pull request #16122: Add fast implementation of LARS

[GitBox]

apeforest merged pull request #16122: Add fast implementation of LARS
URL: https://github.com/apache/incubator-mxnet/pull/16122
 
 
   


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[GitHub] [incubator-mxnet] reminisce opened a new issue #16338: Reduce op throws "too many resources requested for launch"

[GitBox]

reminisce opened a new issue #16338: Reduce op throws "too many resources 
requested for launch"
URL: https://github.com/apache/incubator-mxnet/issues/16338
 
 
   When MXNet is compiled in `debug` mode, reduce ops on GPUs may throw the 
error "too many resources requested for launch" at kernel launch. See 
https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536727538 for 
root cause.
   
   This issue is filed to track the progress of fixing the problem.
   
   Error message 
[example](https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536266618):
   ```
   (base) ubuntu@ip-172-31-16-49:~/incubator-mxnet$ nosetests -s --verbose 
tests/python/gpu/test_operator_gpu.py:test_np_sum
   [INFO] Setting module np/mx/python random seeds, use 
MXNET_MODULE_SEED=342263604 to reproduce.
   test_operator_gpu.test_np_sum ... [08:06:44] ../src/base.cc:84: Upgrade 
advisory: this mxnet has been built against cuDNN lib version 7401, which is 
older than the oldest version tested by CI (7600).  Set 
MXNET_CUDNN_LIB_CHECKING=0 to quiet this warning.
   [INFO] Setting test np/mx/python random seeds, use 
MXNET_TEST_SEED=1216105730 to reproduce.
   ERROR
   
   ==
   ERROR: test_operator_gpu.test_np_sum
   --
   Traceback (most recent call last):
 File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/nose/case.py", 
line 197, in runTest
   self.test(*self.arg)
 File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/nose/util.py", 
line 620, in newfunc
   return func(*arg, **kw)
 File 
"/home/ubuntu/incubator-mxnet/tests/python/gpu/../unittest/common.py", line 
177, in test_new
   orig_test(*args, **kwargs)
 File "/home/ubuntu/incubator-mxnet/python/mxnet/util.py", line 307, in 
_with_np_shape
   return func(*args, **kwargs)
 File "/home/ubuntu/incubator-mxnet/python/mxnet/util.py", line 491, in 
_with_np_array
   return func(*args, **kwargs)
 File 
"/home/ubuntu/incubator-mxnet/tests/python/gpu/../unittest/test_numpy_op.py", 
line 264, in test_np_sum
   assert_almost_equal(y.asnumpy(), expected_ret, rtol=1e-3 if dtype == 
'float16' else 1e-3,
 File "/home/ubuntu/incubator-mxnet/python/mxnet/ndarray/ndarray.py", line 
2504, in asnumpy
   ctypes.c_size_t(data.size)))
 File "/home/ubuntu/incubator-mxnet/python/mxnet/base.py", line 254, in 
check_call
   raise MXNetError(py_str(_LIB.MXGetLastError()))
   mxnet.base.MXNetError: [08:06:54] 
/home/ubuntu/incubator-mxnet/src/operator/nn/././../tensor/./broadcast_reduce-inl.cuh:528:
 Check failed: err == cudaSuccess (7 vs. 0) : Name: reduce_kernel_M1 ErrStr:too 
many resources requested for launch
   Stack trace:
 [bt] (0) 
/home/ubuntu/incubator-mxnet/python/mxnet/../../build/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x32)
 [0x7f81a9b7fb82]
 [bt] (1) 
/home/ubuntu/incubator-mxnet/python/mxnet/../../build/libmxnet.so(void 
mxnet::op::broadcast::ReduceImpl(CUstream_st*, mxnet::TBlob const&, 
mxnet::OpReqType, mxnet::TBlob const&, mshadow::Tensor 
const&, mxnet::op::broadcast::ReduceImplConfig<2> const&)+0x820) 
[0x7f81aa184e10]
 [bt] (2) 
/home/ubuntu/incubator-mxnet/python/mxnet/../../build/libmxnet.so(void 
mxnet::op::broadcast::Reduce(mshadow::Stream*, mxnet::TBlob const&, mxnet::OpReqType, 
mshadow::Tensor const&, mxnet::TBlob const&)+0x539) 
[0x7f81aa187eb9]
 [bt] (3) 
/home/ubuntu/incubator-mxnet/python/mxnet/../../build/libmxnet.so(void 
mxnet::op::ReduceAxesComputeImpl(mxnet::OpContext const&, 
std::vector > const&, 
std::vector > const&, 
std::vector > const&, mxnet::TShape 
const&)+0x13e9) [0x7f81aa868649]
 [bt] (4) 
/home/ubuntu/incubator-mxnet/python/mxnet/../../build/libmxnet.so(void 
mxnet::op::NumpyReduceAxesCompute(nnvm::NodeAttrs const&, 
mxnet::OpContext const&, std::vector 
> const&, std::vector > 
const&, std::vector > const&)+0x4ac) 
[0x7f81aa97a26c]
 [bt] (5) 
/home/ubuntu/incubator-mxnet/python/mxnet/../../build/libmxnet.so(mxnet::imperative::PushFCompute(std::function > const&, std::vector > const&, std::vector > const&)> const&, nnvm::Op const*, 
nnvm::NodeAttrs const&, mxnet::Context const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > 
const&)::{lambda(mxnet::RunContext)#1}::operator()(mxnet::RunContext) 
const+0x2a6) [0x7f81ac1cdc16]
 [bt] (6) 
/home/ubuntu/incubator-mxnet/python/mxnet/../../build/libmxnet.so(std::_Function_handler > const&, std::vector > const&, std::vector > const&)> const&, nnvm::Op const*, 
nnvm::NodeAttrs const&, mxnet::Context const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > 
const&)::{lambda(mxnet::RunContext)#1}>::_M_invoke(std::_Any_data const&, 

[incubator-mxnet] branch master updated (3ffd2c2 -> 66f1656)

[apeforest]

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 3ffd2c2  [MXNET-978] Fully connected, higher order grad (#14779)
 add 66f1656  [MXNET-978] Higher Order Gradient Support `arcsinh`, 
`arccosh`. (#15530)

No new revisions were added by this update.

Summary of changes:
 src/operator/tensor/elemwise_unary_op_trig.cc   | 52 -
 tests/python/unittest/test_higher_order_grad.py | 34 
 2 files changed, 84 insertions(+), 2 deletions(-)

[incubator-mxnet-site] branch beta-site updated: Update .htaccess

[aaronmarkham]

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aaronmarkham pushed a commit to branch beta-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git


The following commit(s) were added to refs/heads/beta-site by this push:
 new 5d11d4f  Update .htaccess
5d11d4f is described below

commit 5d11d4f90bfa424acb4218020b786fc37e132af4
Author: Aaron Markham 
AuthorDate: Mon Sep 30 14:03:51 2019 -0700

Update .htaccess
---
 .htaccess | 74 +++
 1 file changed, 74 insertions(+)

diff --git a/.htaccess b/.htaccess
index 8b13789..d74968e 100644
--- a/.htaccess
+++ b/.htaccess
@@ -1 +1,75 @@
+DirectorySlash off
+RewriteEngine on
+RewriteOptions AllowNoSlash
 
+# Show file instead of folder for example /api/docs/tutorials.html
+# instead of /api/docs/tutorials/
+RewriteCond %{REQUEST_FILENAME} -d
+RewriteCond %{REQUEST_FILENAME}\.html -f
+RewriteRule ^(.*) $1.html [NC,L]
+
+# Prettify some files like tutorials/io to tutorials/io.html
+RewriteCond %{REQUEST_FILENAME}\.html -f
+RewriteRule ^(.*) $1.html [NC,L]
+
+#API docs needs specific root
+RewriteCond %{REQUEST_URI} \/docs\/api$|\/docs\/tutorials$
+RewriteRule ^(.*) %{REQUEST_URI}/ [R,NC,L]
+
+# Prettify folders like /get_started
+RewriteCond %{REQUEST_URI} !\/$
+RewriteCond %{REQUEST_FILENAME} -d
+RewriteCond %{REQUEST_FILENAME}/index.html -f
+RewriteRule ^(.*) $1/index.html [NC,L]
+
+# 404
+ErrorDocument 404 /404.html
+
+# Redirects
+
+# Python API
+Redirect 301 /versions/master/api/python/index.html 
/api/python/docs/api/index.html
+Redirect 301 /api/python/ndarray/ndarray.html 
/api/python/docs/api/ndarray/index.html
+Redirect 301 /api/python/ndarray/random.html 
/api/python/docs/api/ndarray/routines.html
+Redirect 301 /api/python/ndarray/linalg.html 
/api/python/docs/api/ndarray/routines.html
+Redirect 301 /api/python/ndarray/contrib.html 
/api/python/docs/api/ndarray/routines.html
+Redirect 301 /api/python/ndarray/sparse.html 
/api/python/docs/api/ndarray/sparse_routines.html
+
+Redirect 301 /api/python/autograd/autograd.html 
/api/python/docs/api/gluon-related/mxnet.autograd.html
+
+Redirect 301 /api/python/gluon/gluon.html /api/python/docs/api/gluon/index.html
+Redirect 301 /api/python/contrib/contrib.html 
/api/python/docs/api/gluon/mxnet.gluon.contrib.html
+Redirect 301 /api/python/gluon/nn.html /api/python/docs/api/gluon/nn.html
+Redirect 301 /api/python/gluon/rnn.html /api/python/docs/api/gluon/rnn.html
+Redirect 301 /api/python/gluon/loss.html 
/api/python/docs/api/gluon/mxnet.gluon.loss.html
+Redirect 301 /api/python/gluon/data.html 
/api/python/docs/api/gluon/mxnet.gluon.data.html
+Redirect 301 /api/python/gluon/model_zoo.html 
/api/python/docs/api/gluon/mxnet.gluon.model_zoo.html
+Redirect 301 /api/python/gluon/contrib.html 
/api/python/docs/api/gluon/mxnet.gluon.contrib.html
+
+Redirect 301 /api/python/kvstore/kvstore.html 
/api/python/docs/api/gluon-related/mxnet.kvstore.html
+Redirect 301 /api/python/metric/metric.html 
/api/python/docs/api/gluon-related/mxnet.metric.html
+Redirect 301 /api/python/optimization/optimization.html 
/api/python/docs/api/gluon-related/mxnet.optimizer.html
+Redirect 301 /api/python/optimization/contrib.html 
/api/python/docs/api/gluon-related/mxnet.optimizer.html
+Redirect 301 /api/python/profiler/profiler.html 
/api/python/docs/api/gluon-related/mxnet.profiler.html
+Redirect 301 /api/python/io/io.html 
/api/python/docs/api/gluon-related/mxnet.io.html
+
+Redirect 301 /api/python/symbol/symbol.html 
/api/python/docs/api/symbol/index.html
+Redirect 301 /api/python/symbol.html /api/python/docs/api/symbol/index.html
+Redirect 301 /api/python/symbol/linalg.html 
/api/python/docs/api/symbol/mxnet.symbol.linalg.html
+
+Redirect 301 /api/python/module/module.html 
/api/python/docs/api/symbol-related/mxnet.module.html
+Redirect 301 /api/python/callback/callback.html 
/api/python/docs/api/symbol-related/mxnet.callback.html
+Redirect 301 /api/python/tools/visualization.html 
/api/python/docs/api/symbol-related/mxnet.visualization.html
+
+Redirect 301 /api/python/executor/executor.html 
/api/python/docs/api/advanced/mxnet.executor.html
+Redirect 301 /api/python/rtc/rtc.html 
/api/python/docs/api/advanced/mxnet.rtc.html
+Redirect 301 /api/python/tools/test_utils.html 
/api/python/docs/api/advanced/mxnet.test_utils.html
+
+# Top Level Nav bar
+Redirect 301 /install/index.html /get_started
+Redirect 301 /test/get_started/install.html /get_started
+Redirect 301 /faq/index.html /api
+Redirect 301 /tutorials/index.html /api
+Redirect 301 /architecture/index.html /api/architecture/overview
+Redirect 301 /community/ecosystem.html /ecosystem
+Redirect 301 /community/powered_by.html /ecosystem

[GitHub] [incubator-mxnet] apeforest merged pull request #15530: [MXNET-978] Higher Order Gradient Support `arcsinh`, `arccosh`.

[GitBox]

apeforest merged pull request #15530: [MXNET-978] Higher Order Gradient Support 
`arcsinh`, `arccosh`.
URL: https://github.com/apache/incubator-mxnet/pull/15530
 
 
   


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[incubator-mxnet] branch master updated (ea440c7 -> 3ffd2c2)

[sxjscience]

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sxjscience pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


from ea440c7  [numpy] Cosmetic improvement on mxnet.numpy builtin op 
signature in documentation (#16305)
 add 3ffd2c2  [MXNET-978] Fully connected, higher order grad (#14779)

No new revisions were added by this update.

Summary of changes:
 include/mxnet/tensor_blob.h |   2 +-
 src/operator/linalg.h   |   1 +
 src/operator/nn/fully_connected-inl.h   | 205 +++-
 src/operator/nn/fully_connected.cc  |  56 +--
 tests/python/unittest/test_higher_order_grad.py | 147 -
 5 files changed, 360 insertions(+), 51 deletions(-)

[GitHub] [incubator-mxnet] sxjscience closed issue #14991: Second order gradient wrt inputs, expected behaviour.

[GitBox]

sxjscience closed issue #14991: Second order gradient wrt inputs, expected 
behaviour.
URL: https://github.com/apache/incubator-mxnet/issues/14991
 
 
   


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[GitHub] [incubator-mxnet] sxjscience merged pull request #14779: [MXNET-978] Fully connected, higher order grad

[GitBox]

sxjscience merged pull request #14779: [MXNET-978] Fully connected, higher 
order grad
URL: https://github.com/apache/incubator-mxnet/pull/14779
 
 
   


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[GitHub] [incubator-mxnet] prateekpamecha1511 opened a new pull request #16337: nmmmmmmmmmmmmBenchmark

[GitBox]

prateekpamecha1511 opened a new pull request #16337: nBenchmark
URL: https://github.com/apache/incubator-mxnet/pull/16337
 
 
   ### ## Description ##
   (Brief description on what this PR is about)
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to 
the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) 
created (except PRs with tiny changes)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   - [ ] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding 
a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing 
distributed kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a 
new build option with NCCL)
   - [ ] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments 
are documented. 
   - For new examples, README.md is added to explain the what the example does, 
the source of the dataset, expected performance on test set and reference to 
the original paper if applicable
   - Check the API doc at 
https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
   - [ ] To the my best knowledge, examples are either not affected by this 
change, or have been fixed to be compatible with this change
   
   ### Changes ###
   - [ ] Feature1, tests, (and when applicable, API doc)
   - [ ] Feature2, tests, (and when applicable, API doc)
   
   ## Comments ##
   - If this change is a backward incompatible change, why must this change be 
made.
   - Interesting edge cases to note here
   


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #16336: S3 upload artifacts

[GitBox]

aaronmarkham commented on issue #16336: S3 upload artifacts
URL: https://github.com/apache/incubator-mxnet/pull/16336#issuecomment-536731359
 
 
   Where does the `s3Upload` function come from? This? 
https://github.com/jenkinsci/pipeline-aws-plugin
   Also, have you put any docs together on the flow for this on the wiki or 
elsewhere?
   Did you add the plugin to ci-dev and prod already?


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[GitHub] [incubator-mxnet] ptrendx commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

ptrendx commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536727538
 
 
   The `too many resources requested for launch` error happens most often 
because the number of registers required  for the kernel exceeded the number of 
registers available. The register file on the GPU has some capacity that is 
shared by all threads in a SM (streaming multiprocessor), so the more registers 
is used, less number of threads can be actually launched. The problem comes 
from the fact that the number of threads launched is a value known only at 
runtime, not at compile time, so the compiler cannot do the analysis to limit 
the number of used registers / spill some to global memory. Debug build uses 
more registers than the release build, so that is where you hit the error in 
that particular kernel. This problem can be solved by telling the compiler what 
is the maximum number of threads and blocks that will be launched per SM via 
[launch 
bounds](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#launch-bounds).
 Inserting proper launch bounds should be a very easy change, if you have any 
problem applying it just tell us which exact kernel is giving this error and we 
can make a PR for it as well.


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #16336: S3 upload artifacts

[GitBox]

ChaiBapchya commented on issue #16336: S3 upload artifacts
URL: https://github.com/apache/incubator-mxnet/pull/16336#issuecomment-536723266
 
 
   @marcoabreu @perdasilva @mseth10 


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[GitHub] [incubator-mxnet] ChaiBapchya opened a new pull request #16336: S3 upload artifacts

[GitBox]

ChaiBapchya opened a new pull request #16336: S3 upload artifacts
URL: https://github.com/apache/incubator-mxnet/pull/16336
 
 
   ## Description ##
   Upload nosetest artifacts such as nosetests_python2_cpu_quantization.xml, 
nosetests_python2_cputrain_.xml and nosetests_python2_cpu_unittest.xml for 
every job (once it is merged on the master branch)
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [x] Changes are complete (i.e. I finished coding on this PR)
   - [x] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding 
a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing 
distributed kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a 
new build option with NCCL)
   - [x] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments 
are documented. 
   - For new examples, README.md is added to explain the what the example does, 
the source of the dataset, expected performance on test set and reference to 
the original paper if applicable
   - Check the API doc at 
https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
   - [ ] To the my best knowledge, examples are either not affected by this 
change, or have been fixed to be compatible with this change
   
   ### Changes ###
   - [x] ci/Jenkins_utils.groovy
   - [x] Add S3 upload plugin to the jenkins-mxnet-ci.amazon.com; 
   - [x] Allow read/write access to the specific S3 bucket (for Jenkins job to 
be able to upload to the S3 bucket
   - [x] To maintain security, S3 bucket name is added as a Global property 
(like an environment variable of sorts) inside the Jenkins -> Configure
   
   
   ## Test ##
   
   Test all the above changes if they work on the MXNet CI Dev account.
   Expected result - creation of a directory of the form 
-jenkins--
   That directory should contain corresponding artifacts.
   
   ## Comments ##
   - If this change is a backward incompatible change, why must this change be 
made.
   - Interesting edge cases to note here
   


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[GitHub] [incubator-mxnet] marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536720694
 
 
   Yeah that sounds like a good way to move forward. Could you add the issue as 
release requirement for the 1.6 release please? After that, we're good to move 
forward with this PR.


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[GitHub] [incubator-mxnet] sxjscience commented on issue #16196: [RFC] [WIP] Making sampling methods differentiable.

[GitBox]

sxjscience commented on issue #16196: [RFC] [WIP] Making sampling methods 
differentiable.
URL: 
https://github.com/apache/incubator-mxnet/issues/16196#issuecomment-536718398
 
 
   @xidulu Also, you may refer to https://www.tensorflow.org/probability .
   


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[GitHub] [incubator-mxnet] sxjscience commented on issue #16196: [RFC] [WIP] Making sampling methods differentiable.

[GitBox]

sxjscience commented on issue #16196: [RFC] [WIP] Making sampling methods 
differentiable.
URL: 
https://github.com/apache/incubator-mxnet/issues/16196#issuecomment-536714901
 
 
   Let me link it to https://github.com/apache/incubator-mxnet/issues/12932


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[GitHub] [incubator-mxnet] szha commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

szha commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536708927
 
 
   It makes sense to use release build by default, though we should still 
document the usage of debug build in developer guide.
   
   The debug build issue should definitely be investigated. However, given that 
the debug build has issues regardless of the changes in this PR, the 
investigation of the bug should not be a blocker for this change.
   
   #9516 seems to be an appropriate issue for investigation on nvcc debug mode. 
@hgt312 @reminisce @haojin2 it would be great if you could document what you've 
seen in that issue. @ptrendx @DickJC123 feel free to comment there with any 
insight you have.
   
   @marcoabreu does that sound good? Do you have other technical reasons that 
make you believe the PR should be stopped?


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[incubator-mxnet] branch ir-patch updated: [IR-Patch] IR Bridge (#16290)

[zhengda]

This is an automated email from the ASF dual-hosted git repository.

zhengda pushed a commit to branch ir-patch
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/ir-patch by this push:
 new 6af2611  [IR-Patch] IR Bridge (#16290)
6af2611 is described below

commit 6af26118a837096d24ad29fd8b463529de4fd018
Author: Junru Shao 
AuthorDate: Mon Sep 30 12:11:35 2019 -0700

[IR-Patch] IR Bridge (#16290)

* ir converter

Add license

Missed something

lint

lintlintlint

* Restore cryptic part of CachedOp

* Update Makefile

* try again for libtvm.so...

* try again

* try once once again

* let's try to fix julia's issue first

* Remove AsText which is not an exposed symbol

* try to bypass amalgamation

* try again

* boy try this

* blacklist tvm to amalgamation.py
---
 3rdparty/tvm   |   2 +-
 CMakeLists.txt |   2 +-
 Makefile   |  17 +-
 amalgamation/Makefile  |   4 +-
 amalgamation/amalgamation.py   |   4 +-
 ci/jenkins/Jenkins_steps.groovy|  20 +--
 .../assembly/src/main/assembly/assembly.xml|   2 +-
 .../apache/mxnet/util/NativeLibraryLoader.scala|   2 +-
 src/imperative/cached_op.cc|  16 +-
 src/v3/src/nnvm_relay_bridge.cc| 182 +
 tests/nightly/JenkinsfileForBinaries   |   4 +-
 .../JenkinsfileForMBCC |   2 +-
 12 files changed, 228 insertions(+), 29 deletions(-)

diff --git a/3rdparty/tvm b/3rdparty/tvm
index afd4b3e..18188f4 16
--- a/3rdparty/tvm
+++ b/3rdparty/tvm
@@ -1 +1 @@
-Subproject commit afd4b3e4450984358e9d79a7e8e578483cb7b017
+Subproject commit 18188f4ba3f53cc1dab765b8a0d932d21db0ae8a
diff --git a/CMakeLists.txt b/CMakeLists.txt
index f441e9b..051dc91 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -744,7 +744,7 @@ endif()
 
 if(USE_TVM_OP)
   add_definitions(-DMXNET_USE_TVM_OP=1)
-  list(APPEND mxnet_LINKER_LIBS 
${CMAKE_CURRENT_BINARY_DIR}/3rdparty/tvm/libtvm_runtime.so)
+  list(APPEND mxnet_LINKER_LIBS 
${CMAKE_CURRENT_BINARY_DIR}/3rdparty/tvm/libtvm.so)
   include(cmake/BuildTVM.cmake)
   add_subdirectory("3rdparty/tvm")
 
diff --git a/Makefile b/Makefile
index b3b188a..bd580ef 100644
--- a/Makefile
+++ b/Makefile
@@ -468,9 +468,9 @@ CUSRC = $(wildcard src/*/*/*/*.cu src/*/*/*.cu src/*/*.cu 
src/*.cu)
 CUOBJ = $(patsubst %.cu, build/%_gpu.o, $(CUSRC))
 
 ifeq ($(USE_TVM_OP), 1)
-LIB_DEP += lib/libtvm_runtime.so lib/libtvmop.so
+LIB_DEP += lib/libtvm.so lib/libtvmop.so
 CFLAGS += -I$(TVM_PATH)/include -DMXNET_USE_TVM_OP=1
-LDFLAGS += -L$(ROOTDIR)/lib -ltvm_runtime -Wl,-rpath,'$${ORIGIN}'
+LDFLAGS += -L$(ROOTDIR)/lib -ltvm -Wl,-rpath,'$${ORIGIN}'
 
 TVM_USE_CUDA := OFF
 ifeq ($(USE_CUDA), 1)
@@ -618,19 +618,20 @@ $(DMLC_CORE)/libdmlc.a: DMLCCORE
 DMLCCORE:
+ cd $(DMLC_CORE); $(MAKE) libdmlc.a USE_SSE=$(USE_SSE) 
config=$(ROOTDIR)/$(config); cd $(ROOTDIR)
 
-lib/libtvm_runtime.so:
+lib/libtvm.so:
echo "Compile TVM"
[ -e $(LLVM_PATH)/bin/llvm-config ] || sh 
$(ROOTDIR)/contrib/tvmop/prepare_tvm.sh; \
cd $(TVM_PATH)/build; \
-   cmake -DUSE_LLVM="$(LLVM_PATH)/bin/llvm-config" \
+   cmake -DUSE_LLVM="$(LLVM_PATH)/bin/llvm-config --ignore-libllvm" 
-DHIDE_PRIVATE_SYMBOLS=ON \
+   -DCMAKE_SHARED_LINKER_FLAGS="-Wl,--exclude-libs,ALL" \
  -DUSE_SORT=OFF -DUSE_CUDA=$(TVM_USE_CUDA) -DUSE_CUDNN=OFF ..; 
\
$(MAKE) VERBOSE=1; \
mkdir -p $(ROOTDIR)/lib; \
-   cp $(TVM_PATH)/build/libtvm_runtime.so 
$(ROOTDIR)/lib/libtvm_runtime.so; \
+   cp $(TVM_PATH)/build/libtvm.so $(ROOTDIR)/lib/libtvm.so; \
ls $(ROOTDIR)/lib; \
cd $(ROOTDIR)
 
-lib/libtvmop.so: lib/libtvm_runtime.so $(wildcard contrib/tvmop/*/*.py 
contrib/tvmop/*.py)
+lib/libtvmop.so: lib/libtvm.so $(wildcard contrib/tvmop/*/*.py 
contrib/tvmop/*.py)
echo "Compile TVM operators"

PYTHONPATH=$(TVM_PATH)/python:$(TVM_PATH)/topi/python:$(ROOTDIR)/contrib \
LD_LIBRARY_PATH=$(ROOTDIR)/lib \
@@ -696,8 +697,8 @@ rpkg:
cp -rf lib/libmklml_intel.so R-package/inst/libs; \
fi
 
-   if [ -e "lib/libtvm_runtime.so" ]; then \
-   cp -rf lib/libtvm_runtime.so R-package/inst/libs; \
+   if [ -e "lib/libtvm.so" ]; then \
+   cp -rf lib/libtvm.so R-package/inst/libs; \
fi
 
mkdir -p R-package/inst/include
diff --git a/amalgamation/Makefile b/amalgamation/Makefile
index 701c1f1..f45ebfc 100644
--- a/amalgamation/Makefile
+++ b/amalgamation/Makefile
@@ -49,7 +49,7 @@ endif
 .PHONY: all clean
 
 DEFS+=-DMSHADOW_USE_CUDA=0 -DMSHADOW_USE_MKL=0 

[GitHub] [incubator-mxnet] zheng-da merged pull request #16290: [IR-Patch] IR Bridge

[GitBox]

zheng-da merged pull request #16290: [IR-Patch] IR Bridge
URL: https://github.com/apache/incubator-mxnet/pull/16290
 
 
   


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[GitHub] [incubator-mxnet] stu1130 opened a new pull request #16335: [WIP][Numpy] Global numpy shape flag

[GitBox]

stu1130 opened a new pull request #16335: [WIP][Numpy] Global numpy shape flag
URL: https://github.com/apache/incubator-mxnet/pull/16335
 
 
   ## Description ##
   (Brief description on what this PR is about)
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to 
the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) 
created (except PRs with tiny changes)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   - [ ] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding 
a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing 
distributed kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a 
new build option with NCCL)
   - [ ] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments 
are documented. 
   - For new examples, README.md is added to explain the what the example does, 
the source of the dataset, expected performance on test set and reference to 
the original paper if applicable
   - Check the API doc at 
https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
   - [ ] To the my best knowledge, examples are either not affected by this 
change, or have been fixed to be compatible with this change
   
   ### Changes ###
   - [ ] Feature1, tests, (and when applicable, API doc)
   - [ ] Feature2, tests, (and when applicable, API doc)
   
   ## Comments ##
   - If this change is a backward incompatible change, why must this change be 
made.
   - Interesting edge cases to note here
   


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[GitHub] [incubator-mxnet] sxjscience commented on issue #16330: [Numpy] Random.normal() with backward

[GitBox]

sxjscience commented on issue #16330: [Numpy] Random.normal() with backward
URL: https://github.com/apache/incubator-mxnet/pull/16330#issuecomment-536699029
 
 
   You may mention that this uses the reparameterization trick.


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[GitHub] [incubator-mxnet] zachgk commented on issue #14583: Install page history broken

[GitBox]

zachgk commented on issue #14583: Install page history broken
URL: 
https://github.com/apache/incubator-mxnet/issues/14583#issuecomment-536697442
 
 
   @aaronmarkham This issue is still there. To reproduce, 
   
   1. go to the installation docs on the get_started page. 
   2. Randomly click on any of the buttons. Note that it changes the url path 
to index.html which is also wrong.
   3. If you press the browser back button, it doesn't do anything. If you 
press it repeatedly, it only takes effect if you press it more than the number 
of times you changed the installation options.
   
   
   You can see the relevant code 
[here](https://github.com/apache/incubator-mxnet/blob/master/docs/static_site/src/assets/js/options.js).
 There are two ways to resolve this problem:
   1. We simply don't use the [history 
api](https://developer.mozilla.org/en-US/docs/Web/API/History_API) and delete 
all occurrences of history.pushState. Then, the back button will simply leave 
the get_started page.
   2. We handle the history `popstate` event so that presses to the back (and I 
believe forward) button are handled and will switch to the previously selected 
options. There may be other things to fix to get this working as well 
(especially due to the new site).


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[incubator-mxnet] branch master updated (512d25a -> ea440c7)

[haoj]

This is an automated email from the ASF dual-hosted git repository.

haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


from 512d25a  Minor fix in ToTensor documentation. (#16299)
 add ea440c7  [numpy] Cosmetic improvement on mxnet.numpy builtin op 
signature in documentation (#16305)

No new revisions were added by this update.

Summary of changes:
 python/mxnet/__init__.py|  5 +--
 python/mxnet/_numpy_op_doc.py   | 30 ++
 python/mxnet/numpy_dispatch_protocol.py |  4 ++
 python/mxnet/numpy_op_signature.py  | 72 +
 tests/python/unittest/test_numpy_op.py  | 15 +++
 5 files changed, 96 insertions(+), 30 deletions(-)
 create mode 100644 python/mxnet/numpy_op_signature.py

[GitHub] [incubator-mxnet] haojin2 merged pull request #16305: [numpy] Cosmetic improvement on mxnet.numpy builtin op signature in documentation

[GitBox]

haojin2 merged pull request #16305: [numpy] Cosmetic improvement on mxnet.numpy 
builtin op signature in documentation
URL: https://github.com/apache/incubator-mxnet/pull/16305
 
 
   


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[GitHub] [incubator-mxnet] marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536691372
 
 
   @ptrendx @DickJC123 could you chime in please?


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[GitHub] [incubator-mxnet] marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536691164
 
 
   I'd like to get an opinion from some Nvidia engineers first. So far, we are 
making assumptions about these kernels differing in such a significant matter 
that we run into limits. Since we have the advantage of having people with 
detailed knowledge about the ins and outs of GPUs, I'd like to have them 
consulted first. 


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[GitHub] [incubator-mxnet] reminisce commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`

[GitBox]

reminisce commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536687015
 
 
   @marcoabreu As you can see from the discussion, sufficient technical 
justification has been presented for the change in this PR. I will move forward 
if no more questions/concerns in 24 hours.


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[GitHub] [incubator-mxnet] lanking520 commented on issue #16331: mx.symbol.crop problem

[GitBox]

lanking520 commented on issue #16331: mx.symbol.crop problem
URL: 
https://github.com/apache/incubator-mxnet/issues/16331#issuecomment-536686439
 
 
   Could you please detailed information of the code you try to use and the 
action you would like to achieve?


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[incubator-mxnet] 01/01: Merge remote-tracking branch 'Jerryzcn/pr-rcnn' into benchmark

[apeforest]

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apeforest pushed a commit to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git

commit a5e2179d3629c3f9cef3cde04d4bcb0a29febd31
Merge: 512d25a 4c5632e
Author: Lin Yuan 
AuthorDate: Mon Sep 30 10:04:37 2019 -0700

Merge remote-tracking branch 'Jerryzcn/pr-rcnn' into benchmark

 src/operator/contrib/bounding_box-inl.h| 278 +
 src/operator/contrib/bounding_box.cc   |  43 
 src/operator/contrib/bounding_box.cu   |   7 +
 src/operator/contrib/roi_align.cc  |  11 +-
 src/operator/contrib/roi_align.cu  |   6 +
 src/operator/tensor/amp_cast.h |   9 +-
 tests/python/unittest/test_contrib_operator.py |  18 ++
 7 files changed, 368 insertions(+), 4 deletions(-)

[incubator-mxnet] branch benchmark updated (512d25a -> a5e2179)

[apeforest]

This is an automated email from the ASF dual-hosted git repository.

apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


from 512d25a  Minor fix in ToTensor documentation. (#16299)
 add ff52b9e  box encode and box decode
 add 5131a44  roi align ignore batchid < 0
 add db79553  amp multicast support casting to narrowest type
 add 0503d4d  Merge branch 'master' of 
https://github.com/apache/incubator-mxnet into pr-rcnn
 add d3e1618  add unittest
 add eb96bfd  address comments
 add 4c5632e  fix amp_multicast
 new a5e2179  Merge remote-tracking branch 'Jerryzcn/pr-rcnn' into benchmark

The 1 revisions listed above as "new" are entirely new to this
repository and will be described in separate emails.  The revisions
listed as "add" were already present in the repository and have only
been added to this reference.


Summary of changes:
 src/operator/contrib/bounding_box-inl.h| 278 +
 src/operator/contrib/bounding_box.cc   |  43 
 src/operator/contrib/bounding_box.cu   |   7 +
 src/operator/contrib/roi_align.cc  |  11 +-
 src/operator/contrib/roi_align.cu  |   6 +
 src/operator/tensor/amp_cast.h |   9 +-
 tests/python/unittest/test_contrib_operator.py |  18 ++
 7 files changed, 368 insertions(+), 4 deletions(-)

[GitHub] [incubator-mxnet] aaronmarkham commented on issue #12524: AddVersion.py breaks the site output in a variety of ways

[GitBox]

aaronmarkham commented on issue #12524: AddVersion.py breaks the site output in 
a variety of ways
URL: 
https://github.com/apache/incubator-mxnet/issues/12524#issuecomment-536653921
 
 
   New website launch makes this a moot issue.


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[GitHub] [incubator-mxnet] aaronmarkham closed issue #12524: AddVersion.py breaks the site output in a variety of ways

[GitBox]

aaronmarkham closed issue #12524: AddVersion.py breaks the site output in a 
variety of ways
URL: https://github.com/apache/incubator-mxnet/issues/12524
 
 
   


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[GitHub] [incubator-mxnet] aaronmarkham closed issue #12828: Navigation for Docs Broken

[GitBox]

aaronmarkham closed issue #12828: Navigation for Docs Broken
URL: https://github.com/apache/incubator-mxnet/issues/12828
 
 
   


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #12828: Navigation for Docs Broken

[GitBox]

aaronmarkham commented on issue #12828: Navigation for Docs Broken
URL: 
https://github.com/apache/incubator-mxnet/issues/12828#issuecomment-536653411
 
 
   New website launch makes this a moot issue.


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #13430: install page selector logic broken

[GitBox]

aaronmarkham commented on issue #13430: install page selector logic broken
URL: 
https://github.com/apache/incubator-mxnet/issues/13430#issuecomment-536653239
 
 
   New website launch makes this a moot issue.


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[GitHub] [incubator-mxnet] aaronmarkham closed issue #13430: install page selector logic broken

[GitBox]

aaronmarkham closed issue #13430: install page selector logic broken
URL: https://github.com/apache/incubator-mxnet/issues/13430
 
 
   


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #14583: Install page history broken

[GitBox]

aaronmarkham commented on issue #14583: Install page history broken
URL: 
https://github.com/apache/incubator-mxnet/issues/14583#issuecomment-536652955
 
 
   @zachgk Is this still an issue on the new site?


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[incubator-mxnet] branch benchmark updated (618c481 -> 512d25a)

[apeforest]

This is an automated email from the ASF dual-hosted git repository.

apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.


from 618c481  [MXNET-1422] Fix wrong results of min([inf, inf]) and 
max([-inf,-inf]) (#16226)
 add be7296b  removing MXNDArrayLoadFromBuffer64 and MXNDArrayLoad64 
(#16203)
 add 11f73ed  np compatible vstack (#15850)
 add 37c641f  Faster Scala NDArray to BufferedImage function (#16219)
 add 93b794e  Fix inconsistent interpolation method values (#16212)
 add 89cb4ad  Numpy add numpy op roll (#15902)
 add da6e744  add numpy compatible trace (#16008)
 add 53ebe12  add numpy op hanning, hamming, blackman (#15815)
 add 0994ea0  julia: implement `context.num_gpus` (#16236)
 add 8e48cec  julia: add `AbstractMXError` as parent type (#16235)
 add dccfc88  [Numpy]flip (#15819)
 add 7344c91  numpy operator around (#16126)
 add 8af1b57  numpy operator arctan2 (#15890)
 add ae2f1bb  numpy operator nonzero (#15838)
 add bea5653  numpy operator hypot (#15901)
 add 72b4d9b  tvm numpy operator deg2rad && rad2deg (#16015)
 add a77bd75  Integrate MKL-DNN leakyrelu (#16075)
 add cbbb96a  [CD] Add COMMIT_ID param to release job (#16202)
 add f635595  numpy op unique
 add 08f8372  try to fix bug
 add 3ca1920  fix memory bug and disable some test
 add 33bd02f  fix according to review
 add 1d4032d  set fixed seed for profiler (#16155)
 add a5e698a  FullyConnected Bias performance improvement on GPU (#16039)
 add 35ef45c  Fix lack of dylib support in Makefile when use lapack (#15813)
 add 985a4ca  Update KL Divergence formula (#16170)
 add ab2214b  fix broken links (#16255)
 add df34e76  Add list_ctx to ParameterDict (#16185)
 add 1a2da12  [MKLDNN] NDArray reorder in C API and deconv (#16265)
 add c5007ea  Numpy operators: `lcm`, `tril`, `identity` and `take` (#16264)
 add c69c8bf  redirect to the 404 page (#16287)
 add f52ddfd  Fix MXNDArrayGetData (#16289)
 add 7656a11  Removes git status update stop gap solution (#16285)
 add 33c7b5c  add google-analytics config (#16271)
 add 8004a02  Fixing links for website + Fixing search (#16284)
 add dc5470c  Factorize CUDA_KERNEL_LOOP used in CUDA kernels (#16197)
 add 01ca278  [Gluon] Support None argument in HybridBlock (#16280)
 add 943bed5  add mkl installation temp fix (#16304)
 add 3950a47  [MXNET-978] n-th order gradient test support. (#15611)
 add 512d25a  Minor fix in ToTensor documentation. (#16299)

No new revisions were added by this update.

Summary of changes:
 .github/PULL_REQUEST_TEMPLATE.md   |   2 +-
 MKLDNN_README.md   |   2 +-
 Makefile   |   8 +-
 NEWS.md|  14 +-
 R-package/R/zzz.R  |   2 +-
 R-package/README.md|   2 +-
 R-package/vignettes/MultidimLstm.Rmd   |   2 +-
 README.md  |  37 +-
 benchmark/opperf/README.md |  20 +-
 benchmark/opperf/utils/benchmark_utils.py  |   1 +
 cd/Jenkinsfile_cd_pipeline |   9 +
 cd/Jenkinsfile_release_job |  42 +-
 cd/Jenkinsfile_utils.groovy|  29 +-
 cd/README.md   |   9 +
 cd/img/job_setup.png   | Bin 0 -> 250237 bytes
 ci/Jenkinsfile_utils.groovy|  40 +-
 ci/docker/install/ubuntu_mkl.sh|   2 +-
 ci/docker/install/ubuntu_r.sh  |   2 +-
 ci/other/ci_deploy_doc.sh  |   2 +-
 contrib/clojure-package/README.md  |   6 +-
 .../examples/pre-trained-models/README.md  |   6 +-
 .../clojure-package/examples/tutorial/README.md|   2 +-
 .../examples/tutorial/src/tutorial/kvstore.clj |   2 +-
 .../examples/tutorial/src/tutorial/module.clj  |   2 +-
 .../examples/tutorial/src/tutorial/ndarray.clj |   2 +-
 .../examples/tutorial/src/tutorial/symbol.clj  |   2 +-
 contrib/tvmop/basic/ufunc.py   | 137 ++-
 cpp-package/README.md  |   6 +-
 docs/README.md |   6 +-
 docs/python_docs/python/scripts/conf.py|   4 +-
 .../python/tutorials/deploy/export/index.rst   |  13 +-
 .../python/tutorials/deploy/export/onnx.md | 150 
 docs/python_docs/python/tutorials/deploy/index.rst |   6 +-
 .../python/tutorials/deploy/inference/index.rst|  38 +-
 .../tutorials/deploy/inference/wine_detector.md| 405 +
 .../python/tutorials/deploy/run-on-aws/index.rst   |   8 +-
 .../python/tutorials/extend/custom_layer.md|  18 +-
 

[GitHub] [incubator-mxnet] perdasilva commented on issue #16190: Adds PyPI CD Pipeline

[GitBox]

perdasilva commented on issue #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#issuecomment-536647530
 
 
   @aaronmarkham I've put through some changes to the READMEs. Let's wait for 
@szha to merge and have final say on the variant I chose as the release one. 
   
   Regarding Pi and Nano, eventually it should be possible. I guess this would 
just mean new variants. So, first, we would need to figure out the compilation, 
so the binary can be posted up to the artifact repository. Once it's there, we 
can update this pipeline to include it in the release.
   
   Since we already do some testing in CI, it mightn't be too difficult...


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[GitHub] [incubator-mxnet] perdasilva commented on a change in pull request #16190: Adds PyPI CD Pipeline

[GitBox]

perdasilva commented on a change in pull request #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#discussion_r329672675
 
 

 ##
 File path: tools/pip/doc/CU101MKL_ADDITIONAL.md
 ##
 @@ -0,0 +1,46 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Prerequisites
+-
+This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 
support.
+- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 
support.
+- [mxnet-cu100mkl](https://pypi.python.org/pypi/mxnet-cu100mkl/) with 
CUDA-10.0 support and MKLDNN support.
+- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
+- [mxnet-cu92mkl](https://pypi.python.org/pypi/mxnet-cu92mkl/) with CUDA-9.2 
support and MKLDNN support.
+- [mxnet-cu91](https://pypi.python.org/pypi/mxnet-cu91/) with CUDA-9.1 support.
 
 Review comment:
   Actually, I don't believe we even support it any more. I will remove it.


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[GitHub] [incubator-mxnet] perdasilva commented on a change in pull request #16190: Adds PyPI CD Pipeline

[GitBox]

perdasilva commented on a change in pull request #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#discussion_r329672490
 
 

 ##
 File path: tools/pip/doc/CU101MKL_ADDITIONAL.md
 ##
 @@ -0,0 +1,46 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Prerequisites
+-
+This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 
support.
 
 Review comment:
   This is in the cu101mkl text - i.e. it's not self referential. I just took 
what was already there for the othersmakes a little sense since the leading 
text is "you may also want to check:"


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[GitHub] [incubator-mxnet] aaronmarkham closed issue #15200: Broken Sidebar on website API for master

[GitBox]

aaronmarkham closed issue #15200: Broken Sidebar on website API for master
URL: https://github.com/apache/incubator-mxnet/issues/15200
 
 
   


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #15200: Broken Sidebar on website API for master

[GitBox]

aaronmarkham commented on issue #15200: Broken Sidebar on website API for master
URL: 
https://github.com/apache/incubator-mxnet/issues/15200#issuecomment-536638415
 
 
   New site makes this a moot issue.


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[GitHub] [incubator-mxnet] aaronmarkham closed issue #15410: data.dmlc.ml redirect (security breach?)

[GitBox]

aaronmarkham closed issue #15410: data.dmlc.ml redirect (security breach?)
URL: https://github.com/apache/incubator-mxnet/issues/15410
 
 
   


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #15410: data.dmlc.ml redirect (security breach?)

[GitBox]

aaronmarkham commented on issue #15410: data.dmlc.ml redirect (security breach?)
URL: 
https://github.com/apache/incubator-mxnet/issues/15410#issuecomment-536637820
 
 
   dmlc links have been removed... domain is gone...


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[GitHub] [incubator-mxnet] aaronmarkham edited a comment on issue #16190: Adds PyPI CD Pipeline

[GitBox]

aaronmarkham edited a comment on issue #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#issuecomment-536629264
 
 
   Since this is passing CI, I can move my review to Approved and merge 
(readme's can be updated later). Is it good to go now?
   
   Can we get the Pi and Nano wheels in this pipeline too? I'd love to see 
that! I have some notes on it and some successes, but when trying to automate 
the wheel creation I was getting stuck on cross-compile issues in the output 
wheel's platform designation.


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #16190: Adds PyPI CD Pipeline

[GitBox]

aaronmarkham commented on issue #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#issuecomment-536629264
 
 
   Since this is passing CI, I can move my review to Approved and merge. Is it 
good to go now?
   
   Can we get the Pi and Nano wheels in this pipeline too? I'd love to see 
that! I have some notes on it and some successes, but when trying to automate 
the wheel creation I was getting stuck on cross-compile issues in the output 
wheel's platform designation.


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[GitHub] [incubator-mxnet] aaronmarkham commented on a change in pull request #16190: Adds PyPI CD Pipeline

[GitBox]

aaronmarkham commented on a change in pull request #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#discussion_r329654756
 
 

 ##
 File path: tools/pip/doc/CU101MKL_ADDITIONAL.md
 ##
 @@ -0,0 +1,46 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Prerequisites
+-
+This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 
support.
+- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 
support.
+- [mxnet-cu100mkl](https://pypi.python.org/pypi/mxnet-cu100mkl/) with 
CUDA-10.0 support and MKLDNN support.
+- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
+- [mxnet-cu92mkl](https://pypi.python.org/pypi/mxnet-cu92mkl/) with CUDA-9.2 
support and MKLDNN support.
+- [mxnet-cu91](https://pypi.python.org/pypi/mxnet-cu91/) with CUDA-9.1 support.
 
 Review comment:
   I thought there was a note somewhere that discourages use of the this 
particular package due to instability...


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[GitHub] [incubator-mxnet] aaronmarkham commented on a change in pull request #16190: Adds PyPI CD Pipeline

[GitBox]

aaronmarkham commented on a change in pull request #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#discussion_r329655567
 
 

 ##
 File path: tools/pip/doc/CU101_ADDITIONAL.md
 ##
 @@ -0,0 +1,46 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Prerequisites
+-
+This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu101mkl](https://pypi.python.org/pypi/mxnet-cu101mkl/) with 
CUDA-10.1 support and MKLDNN support.
 
 Review comment:
   Yeah, you mention cu101mkl here but not in the other file...


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[GitHub] [incubator-mxnet] aaronmarkham commented on a change in pull request #16190: Adds PyPI CD Pipeline

[GitBox]

aaronmarkham commented on a change in pull request #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#discussion_r329655838
 
 

 ##
 File path: tools/pip/doc/CU101_ADDITIONAL.md
 ##
 @@ -0,0 +1,46 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Prerequisites
+-
+This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu101mkl](https://pypi.python.org/pypi/mxnet-cu101mkl/) with 
CUDA-10.1 support and MKLDNN support.
+- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100mkl/) with CUDA-10.0 
support.
+- [mxnet-cu100mkl](https://pypi.python.org/pypi/mxnet-cu100mkl/) with 
CUDA-10.0 support and MKLDNN support.
+- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
+- [mxnet-cu92mkl](https://pypi.python.org/pypi/mxnet-cu92mkl/) with CUDA-9.2 
support and MKLDNN support.
+- [mxnet-cu91](https://pypi.python.org/pypi/mxnet-cu91/) with CUDA-9.1 support.
+- [mxnet-cu91mkl](https://pypi.python.org/pypi/mxnet-cu91mkl/) with CUDA-9.1 
support and MKLDNN support.
+- [mxnet-cu90](https://pypi.python.org/pypi/mxnet-cu90/) with CUDA-9.0 support.
+- [mxnet-cu90mkl](https://pypi.python.org/pypi/mxnet-cu90mkl/) with CUDA-9.0 
support and MKLDNN support.
+- [mxnet-cu80](https://pypi.python.org/pypi/mxnet-cu80/) with CUDA-8.0 support.
+- [mxnet-cu80mkl](https://pypi.python.org/pypi/mxnet-cu80mkl/) with CUDA-8.0 
support and MKLDNN support.
+- [mxnet-cu75](https://pypi.python.org/pypi/mxnet-cu75/) with CUDA-7.5 support.
+- [mxnet-cu75mkl](https://pypi.python.org/pypi/mxnet-cu75mkl/) with CUDA-7.5 
support and MKLDNN support.
+- [mxnet-mkl](https://pypi.python.org/pypi/mxnet-mkl/) with MKLDNN support.
+- [mxnet](https://pypi.python.org/pypi/mxnet/).
+
+To download CUDA, check [CUDA 
download](https://developer.nvidia.com/cuda-downloads). For more instructions, 
check [CUDA Toolkit online 
documentation](http://docs.nvidia.com/cuda/index.html).
+
+To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other 
versions, check [Installing 
MXNet](https://mxnet.incubator.apache.org/versions/master/install/index.html) 
for instructions on building from source.
+
+Installation
+
+To install:
+```bash
+pip install mxnet-cu100
 
 Review comment:
   ```suggestion
   pip install mxnet-cu101mkl
   ```
   Is this not the recommended package?


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[GitHub] [incubator-mxnet] aaronmarkham commented on a change in pull request #16190: Adds PyPI CD Pipeline

[GitBox]

aaronmarkham commented on a change in pull request #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#discussion_r329654464
 
 

 ##
 File path: tools/pip/doc/CU101MKL_ADDITIONAL.md
 ##
 @@ -0,0 +1,46 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Prerequisites
+-
+This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 
support.
 
 Review comment:
   No mkl variant for cu101?


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[GitHub] [incubator-mxnet] iblis17 commented on issue #16306: [Julia CI pipeline] reduce complexity and deps

[GitBox]

iblis17 commented on issue #16306: [Julia CI pipeline] reduce complexity and 
deps
URL: 
https://github.com/apache/incubator-mxnet/issues/16306#issuecomment-536619340
 
 
   > Starting fresh in a new directory works too, but that's a last resort.
   
   ah, git-worktree is the lifesaver in this case. :p
   
   The example from its man page is exactly fit into this case.
   
   
   On 9/30/19 11:09 PM, Aaron Markham wrote:
   > I just fetched upstream/master and ran that command and didn't get an 
error. I've found that when I've had a bunch of branches around and switch 
around a lot I have to run |make clean| and update the submodules to get in a 
buildable state. Something happened with the submodules recently and I had to 
delete all of them and check them out again. Starting fresh in a new directory 
works too, but that's a last resort.
   > 
   > —
   > You are receiving this because you commented.
   > Reply to this email directly, view it on GitHub 
,
 or mute the thread 
.
   > 
   


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[GitHub] [incubator-mxnet] Kh4L commented on issue #16322: [website] rendering issue on implementing ops faq

[GitBox]

Kh4L commented on issue #16322: [website] rendering issue on implementing ops 
faq
URL: 
https://github.com/apache/incubator-mxnet/issues/16322#issuecomment-536615177
 
 
   @aaronmarkham I missed this issue... Shall I also add this page to the PR?


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[GitHub] [incubator-mxnet] eric-haibin-lin commented on issue #16326: Mxnet 1.5.0: Crash while training mask-rcnn with horovod

[GitBox]

eric-haibin-lin commented on issue #16326: Mxnet 1.5.0: Crash while training 
mask-rcnn with horovod
URL: 
https://github.com/apache/incubator-mxnet/issues/16326#issuecomment-536614108
 
 
   @apeforest 


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #16322: [website] rendering issue on implementing ops faq

[GitBox]

aaronmarkham commented on issue #16322: [website] rendering issue on 
implementing ops faq
URL: 
https://github.com/apache/incubator-mxnet/issues/16322#issuecomment-536613935
 
 
   #16334 fixed a similar issue with just a line break...


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[GitHub] [incubator-mxnet] aaronmarkham commented on issue #16306: [Julia CI pipeline] reduce complexity and deps

[GitBox]

aaronmarkham commented on issue #16306: [Julia CI pipeline] reduce complexity 
and deps
URL: 
https://github.com/apache/incubator-mxnet/issues/16306#issuecomment-536606487
 
 
   I just fetched upstream/master and ran that command and didn't get an error. 
I've found that when I've had a bunch of branches around and switch around a 
lot I have to run `make clean` and update the submodules to get in a buildable 
state. Something happened with the submodules recently and I had to delete all 
of them and check them out again. Starting fresh in a new directory works too, 
but that's a last resort.


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[GitHub] [incubator-mxnet] Kh4L opened a new pull request #16334: Fix code block formatting in Why MXNet doc page

[GitBox]

Kh4L opened a new pull request #16334: Fix code block formatting in Why MXNet 
doc page
URL: https://github.com/apache/incubator-mxnet/pull/16334
 
 
   ## Description ##
   Quick fix in `Why MXNet` doc.
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [X] Changes are complete (i.e. I finished coding on this PR)
   
   
   


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[GitHub] [incubator-mxnet] marcoabreu commented on issue #16328: Fix large array tests

[GitBox]

marcoabreu commented on issue #16328: Fix large array tests
URL: https://github.com/apache/incubator-mxnet/pull/16328#issuecomment-536574615
 
 
   Please remove commented out code


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[GitHub] [incubator-mxnet] matteosal commented on issue #16286: MKL-DNN Convolution result is unstable with C API

[GitBox]

matteosal commented on issue #16286: MKL-DNN Convolution result is unstable 
with C API
URL: 
https://github.com/apache/incubator-mxnet/issues/16286#issuecomment-536554370
 
 
   Yes it's fixed, we don't see this problem in our test suite anymore


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[GitHub] [incubator-mxnet] perdasilva commented on issue #16190: Adds PyPI CD Pipeline

[GitBox]

perdasilva commented on issue #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#issuecomment-536542199
 
 
   @szha I've added changes to the pypi pipeline to skip publishing all 
variants except cu101 and cu101mkl - you can see an example 
[here](http://jenkins.mxnet-ci-dev.amazon-ml.com/blue/organizations/jenkins/restricted-mxnet-cd%2Fmxnet-cd-release-job/detail/mxnet-cd-release-job/240/pipeline/13)
 (I only ran the pipeline against cu100, cu101, and cu101mkl to converse 
resources). I decided to only skip the publish step, so we could still QA the 
builds for all variants. Once you are comfortable, the filter can be removed.


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[GitHub] [incubator-mxnet] perdasilva closed issue #14652: CUDA 10 w/ cuDNN 7.5 Support

[GitBox]

perdasilva closed issue #14652: CUDA 10 w/ cuDNN 7.5 Support
URL: https://github.com/apache/incubator-mxnet/issues/14652
 
 
   


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[GitHub] [incubator-mxnet] perdasilva commented on issue #14652: CUDA 10 w/ cuDNN 7.5 Support

[GitBox]

perdasilva commented on issue #14652: CUDA 10 w/ cuDNN 7.5 Support
URL: 
https://github.com/apache/incubator-mxnet/issues/14652#issuecomment-536446877
 
 
   This has since been fixed ^^ thx to @stu1130 


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[GitHub] [incubator-mxnet] WIll-Xu35 commented on issue #16333: mxnet docker gives different inference output

[GitBox]

WIll-Xu35 commented on issue #16333: mxnet docker gives different inference 
output
URL: 
https://github.com/apache/incubator-mxnet/issues/16333#issuecomment-536428474
 
 
   After downgrading the mxnet version in the docker to 1.3.0, the inference 
result are exactly the same. But why?


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[GitHub] [incubator-mxnet] WIll-Xu35 opened a new issue #16333: mxnet docker gives different inference output

[GitBox]

WIll-Xu35 opened a new issue #16333: mxnet docker gives different inference 
output
URL: https://github.com/apache/incubator-mxnet/issues/16333
 
 
   ## Description
   When using official mxnet docker image on cloud server and without docker on 
a local server, the inference result is different. The input is exactly the 
same.
   
   ## Environment info (Required)
   docker on cloud server: cuda9.0, cuda drive 418 (host machine), mxnet 1.4.0
   local server: cuda9.0, cuda drive 396, mxnet 1.3.0


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[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #16333: mxnet docker gives different inference output

[GitBox]

mxnet-label-bot commented on issue #16333: mxnet docker gives different 
inference output
URL: 
https://github.com/apache/incubator-mxnet/issues/16333#issuecomment-536424907
 
 
   Hey, this is the MXNet Label Bot. 
Thank you for submitting the issue! I will try and suggest some labels so 
that the appropriate MXNet community members can help resolve it. 
Here are my recommended label(s): Performance


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[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #16332: Docker images are using CUDNN5 and CUDA8

[GitBox]

mxnet-label-bot commented on issue #16332: Docker images are using CUDNN5 and 
CUDA8
URL: 
https://github.com/apache/incubator-mxnet/issues/16332#issuecomment-536415826
 
 
   Hey, this is the MXNet Label Bot. 
Thank you for submitting the issue! I will try and suggest some labels so 
that the appropriate MXNet community members can help resolve it. 
Here are my recommended label(s): Performance


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