date:20200409

[GitHub] [incubator-mxnet] heaseny opened a new issue #18015: [Unit test] 2 unit tests of test_optimizer.py randomly fail due to assertion error

2020-04-09 Thread GitBox

heaseny opened a new issue #18015: [Unit test] 2 unit tests of 
test_optimizer.py randomly fail due to assertion error
URL: https://github.com/apache/incubator-mxnet/issues/18015
 
 
   ## Description
   test_ftrl and test_sparse_ftrl  of test_optimizer.py fail randomly and can 
be reproduced with seed on master branch latest commit.
   MXNET_TEST_SEED=212931 nosetests -s -v 
tests/python/unittest/test_optimizer.py:test_sparse_ftrl
   MXNET_TEST_SEED=2085448245 nosetests -s -v 
tests/python/unittest/test_optimizer.py:test_ftrl 
   ### Error Message
   ==
   FAIL: test_optimizer.test_sparse_ftrl
   --
   Traceback (most recent call last):
 File 
"/home/mxnet/anacondaenv/anaconda3_mxnet/envs/mxnet_daily_py3_debug/lib/python3.6/site-packages/nose/case.py",
 line 197, in runTest
   self.test(*self.arg)
 File 
"/home/mxnet/workspace/source/incubator-mxnet/tests/python/unittest/common.py", 
line 215, in test_new
   orig_test(*args, **kwargs)
 File 
"/home/mxnet/workspace/source/incubator-mxnet/tests/python/unittest/test_optimizer.py",
 line 717, in test_sparse_ftrl
   rtol=1e-4, atol=1e-4)
 File 
"/home/mxnet/anacondaenv/anaconda3_mxnet/envs/mxnet_daily_py3_debug/lib/python3.6/site-packages/mxnet-2.0.0-py3.6.egg/mxnet/test_utils.py",
 line 2326, in compare_optimizer
   compare_ndarray_tuple(tuple(w1_list), tuple(w2_list), rtol=rtol, 
atol=atol)
 File 
"/home/mxnet/anacondaenv/anaconda3_mxnet/envs/mxnet_daily_py3_debug/lib/python3.6/site-packages/mxnet-2.0.0-py3.6.egg/mxnet/test_utils.py",
 line 2279, in compare_ndarray_tuple
   compare_ndarray_tuple(s1, s2, rtol, atol)
 File 
"/home/mxnet/anacondaenv/anaconda3_mxnet/envs/mxnet_daily_py3_debug/lib/python3.6/site-packages/mxnet-2.0.0-py3.6.egg/mxnet/test_utils.py",
 line 2281, in compare_ndarray_tuple
   assert_almost_equal(t1, t2, rtol=rtol, atol=atol)
 File 
"/home/mxnet/anacondaenv/anaconda3_mxnet/envs/mxnet_daily_py3_debug/lib/python3.6/site-packages/mxnet-2.0.0-py3.6.egg/mxnet/test_utils.py",
 line 637, in assert_almost_equal
   raise AssertionError(msg)
   AssertionError:
   Items are not equal:
   Error 1.049805 exceeds tolerance rtol=1.00e-04, atol=1.00e-04 
(mismatch 1.67%).
   Location of maximum error: (0, 3, 1), a=0.16198730, b=0.16186523
ACTUAL: array([[[ 0.   ,  0.2236   , -0.   ,  0.0002441,  0.   
],
   [ 0.05914  ,  0.06915  ,  0.   , -0.02031  ,  0.00795  ],
   [ 0.004116 ,  0.0171   ,  0.0321   ,  0.   ,  0.1605   ],...
DESIRED: array([[[ 0.   ,  0.2236   , -0.   ,  0.0002441,  0.   
],
   [ 0.05914  ,  0.06915  ,  0.   , -0.02031  ,  0.00795  ],
   [ 0.004116 ,  0.0171   ,  0.0321   ,  0.   ,  0.1605   ],...
    >> begin captured logging << 
   common: INFO: Setting module np/mx/python random seeds, use 
MXNET_MODULE_SEED=75654305 to reproduce.
   common: WARNING: *** test-level seed set: all "@with_seed()" tests run 
deterministically ***
   common: INFO: Setting test np/mx/python random seeds, use 
MXNET_TEST_SEED=212931 to reproduce.
   - >> end captured logging << -
   
   --
   Ran 1 test in 6.137s
   
   FAILED (failures=1)
   
   
   nosetests -s -v test_optimizer:test_ftrl 2>&1 [INFO] Setting module 
np/mx/python random seeds, use MXNET_MODULE_SEED=2085448245 to reproduce.
   test_optimizer.test_ftrl ... [INFO] Setting test np/mx/python random seeds, 
use MXNET_TEST_SEED=672842212 to reproduce.
   FAIL
   
   ==
   FAIL: test_optimizer.test_ftrl
   --
   Traceback (most recent call last):
 File 
"/home/mxnet/anacondaenv/mxnet_ubuntu/envs/mxnet_preci_ubuntu_03/lib/python3.6/site-packages/nose/case.py",
 line 197, in runTest
   self.test(*self.arg)
 File 
"/mnt/jenkins_dir/workspace/MXNet_PreCI/mxnet_preci/tests/python/unittest/common.py",
 line 215, in test_new
   orig_test(*args, **kwargs)
 File 
"/mnt/jenkins_dir/workspace/MXNet_PreCI/mxnet_preci/tests/python/unittest/test_optimizer.py",
 line 692, in test_ftrl
   rtol=1e-4, atol=1e-4)
 File 
"/home/mxnet/anacondaenv/mxnet_ubuntu/envs/mxnet_preci_ubuntu_03/lib/python3.6/site-packages/mxnet-2.0.0-py3.6.egg/mxnet/test_utils.py",
 line 2326, in compare_optimizer
   compare_ndarray_tuple(tuple(w1_list), tuple(w2_list), rtol=rtol, 
atol=atol)
 File 
"/home/mxnet/anacondaenv/mxnet_ubuntu/envs/mxnet_preci_ubuntu_03/lib/python3.6/site-packages/mxnet-2.0.0-py3.6.egg/mxnet/test_utils.py",
 line 2279, in compare_ndarray_tuple
   compare_ndarray_tuple(s1, s2, rtol, atol)
 File

[GitHub] [incubator-mxnet] knowledgecomputer2018 commented on issue #14468: TypeError: 'float' object is not subscriptable`

2020-04-09 Thread GitBox

knowledgecomputer2018 commented on issue #14468: TypeError: 'float' object is 
not subscriptable`
URL: 
https://github.com/apache/incubator-mxnet/issues/14468#issuecomment-611888340
 
 
   hi i have this error. why ?
   solution: 
   first i have a array or numpy.float64 K[i] then other line i have a var K=PK 
. what is meaning i have two var with two type .
   god willing
   


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[GitHub] [incubator-mxnet] heaseny closed issue #17384: Error in numpy unit test

2020-04-09 Thread GitBox

heaseny closed issue #17384: Error in numpy unit test
URL: https://github.com/apache/incubator-mxnet/issues/17384
 
 
   


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[GitHub] [incubator-mxnet] pengzhao-intel edited a comment on issue #18014: enabling mkldnn leads to segfault in bytePS

2020-04-09 Thread GitBox

pengzhao-intel edited a comment on issue #18014: enabling mkldnn leads to 
segfault in bytePS
URL: 
https://github.com/apache/incubator-mxnet/issues/18014#issuecomment-611876912
 
 
   Is there any test case for bytePS to cover this kind of issue?   
   
   BTW, is "bytepsimage/mxnet"  the official MXNet?
   "I am using bytepsimage/mxnet docker image to test bytePS. "


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[GitHub] [incubator-mxnet] pengzhao-intel commented on issue #18014: enabling mkldnn leads to segfault in bytePS

2020-04-09 Thread GitBox

pengzhao-intel commented on issue #18014: enabling mkldnn leads to segfault in 
bytePS
URL: 
https://github.com/apache/incubator-mxnet/issues/18014#issuecomment-611876912
 
 
   Is there any test case for bytePS to cover this kind of issue?   


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17993#issuecomment-611876080
 
 
   Jenkins CI successfully triggered : [unix-cpu]


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x

2020-04-09 Thread GitBox

ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17993#issuecomment-611876059
 
 
   @mxnet-bot run ci [unix-cpu]


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #11747: Flaky test test_quantization_mkldnn.test_requantize_int32_to_int8

2020-04-09 Thread GitBox

ChaiBapchya commented on issue #11747: Flaky test 
test_quantization_mkldnn.test_requantize_int32_to_int8
URL: 
https://github.com/apache/incubator-mxnet/issues/11747#issuecomment-611875842
 
 
   Still flaky. For unrelated PR #17993 
   Log : 
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-17993/7/pipeline/300


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[GitHub] [incubator-mxnet] eric-haibin-lin opened a new issue #18014: enabling mkldnn leads to segfault in bytePS

2020-04-09 Thread GitBox

eric-haibin-lin opened a new issue #18014: enabling mkldnn leads to segfault in 
bytePS
URL: https://github.com/apache/incubator-mxnet/issues/18014
 
 
   I am using `bytepsimage/mxnet` docker image to test bytePS. However, I find 
recent MXNet versions lead to segfault. 
   
   Specifically, if i build mxnet-cu100 variant with commit 
b6b1de092b2bbc6ab7207a98dcb1c08fe67ca14b, the following command works:
   ```
   docker pull bytepsimage/mxnet
   
   nvidia-docker run -it --net=host --shm-size=32768m bytepsimage/mxnet bash
   
   # now you are in docker environment
   export NVIDIA_VISIBLE_DEVICES=0,1,2,3  # gpus list
   export DMLC_WORKER_ID=0 # your worker id
   export DMLC_NUM_WORKER=1 # one worker
   export DMLC_ROLE=worker 
   
   # the following value does not matter for non-distributed jobs 
   export DMLC_NUM_SERVER=1 
   export DMLC_PS_ROOT_URI=10.0.0.1 
   export DMLC_PS_ROOT_PORT=1234 
   
   bpslaunch python3 /usr/local/byteps/example/mxnet/train_gluon_mnist_byteps.py
   
   ```
   
   However, if i use commit 2f6cdd383abbf46a37b84a5fad013726b5c62169, it gives 
me segfault. 
   I used `source tools/staticbuild/build.sh mxnet-cu100 pip` to build the pip 
package. 
   
   And if I use the latest nightly build, it also gives me segfault 
   
   @TaoLv any idea why?
   
   related issue https://github.com/bytedance/byteps/issues/222 


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[GitHub] [incubator-mxnet] MoisesHer closed pull request #18012: Bert gemms true fp16

2020-04-09 Thread GitBox

MoisesHer closed pull request #18012: Bert gemms true fp16
URL: https://github.com/apache/incubator-mxnet/pull/18012
 
 
   


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[GitHub] [incubator-mxnet] eric-haibin-lin opened a new issue #18013: horovod cpu build segfault

2020-04-09 Thread GitBox

eric-haibin-lin opened a new issue #18013: horovod cpu build segfault
URL: https://github.com/apache/incubator-mxnet/issues/18013
 
 
   This works: 
   ```
   
https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200306-py2.py3-none-manylinux1_x86_64.whl
   
   pip3 uninstall horovod -y; pip3 install horovod --user --no-cache-dir
   horovodrun -np 4 python3.6 test.py
   ```
   test.py:
   ```
   import horovod.mxnet as hvd
   import mxnet as mx
   
   hvd.init()
   a = mx.nd.ones((1))
   hvd.allreduce_(a)
   print(a)
   ```
   
   This fails:
   ```
   
https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200313-py2.py3-none-manylinux2014_x86_64.whl
   ```


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[GitHub] [incubator-mxnet] TaoLv commented on issue #18012: Bert gemms true fp16

2020-04-09 Thread GitBox

TaoLv commented on issue #18012: Bert gemms true fp16
URL: https://github.com/apache/incubator-mxnet/pull/18012#issuecomment-611872851
 
 
   @MoisesHer Please clean the commit history and change the target branch to 
v1.x. Thanks.
   cc @ciyongch 


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17899: [Numpy][Bug Fix] Fix Wrong Result in Numpy Operator `where`

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17899: [Numpy][Bug Fix] Fix Wrong Result in Numpy 
Operator `where`
URL: https://github.com/apache/incubator-mxnet/pull/17899#issuecomment-611862403
 
 
   Jenkins CI successfully triggered : [centos-cpu, centos-gpu, windows-cpu, 
unix-cpu, clang, unix-gpu, website, sanity, edge, miscellaneous, windows-gpu]


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x

2020-04-09 Thread GitBox

ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17993#issuecomment-611862385
 
 
   It's weird why 1.6 branch is facing rvm version error.
   All the previous 5 builds had passed for Jekyll build.


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[GitHub] [incubator-mxnet] haojin2 commented on issue #17899: [Numpy][Bug Fix] Fix Wrong Result in Numpy Operator `where`

2020-04-09 Thread GitBox

haojin2 commented on issue #17899: [Numpy][Bug Fix] Fix Wrong Result in Numpy 
Operator `where`
URL: https://github.com/apache/incubator-mxnet/pull/17899#issuecomment-611862362
 
 
   @mxnet-bot run ci [all]


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[GitHub] [incubator-mxnet] BenjaminCHEN2016 commented on issue #17865: [Numpy] add: numpy op rollaxis

2020-04-09 Thread GitBox

BenjaminCHEN2016 commented on issue #17865: [Numpy] add: numpy op rollaxis
URL: https://github.com/apache/incubator-mxnet/pull/17865#issuecomment-611860674
 
 
   @mxnet-bot run ci [unix-gpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17865: [Numpy] add: numpy op rollaxis

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17865: [Numpy] add: numpy op rollaxis
URL: https://github.com/apache/incubator-mxnet/pull/17865#issuecomment-611860694
 
 
   Jenkins CI successfully triggered : [unix-gpu]


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[GitHub] [incubator-mxnet] eric-haibin-lin commented on issue #17221: MXNet nightly breaks horovod integration

2020-04-09 Thread GitBox

eric-haibin-lin commented on issue #17221: MXNet nightly breaks horovod 
integration 
URL: 
https://github.com/apache/incubator-mxnet/issues/17221#issuecomment-611860723
 
 
   is this fixed?


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[GitHub] [incubator-mxnet] BenjaminCHEN2016 commented on issue #17904: [Numpy] add: numpy op trilindices

2020-04-09 Thread GitBox

BenjaminCHEN2016 commented on issue #17904: [Numpy] add: numpy op trilindices
URL: https://github.com/apache/incubator-mxnet/pull/17904#issuecomment-611859882
 
 
   @mxnet-bot run ci [unix-gpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17904: [Numpy] add: numpy op trilindices

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17904: [Numpy] add: numpy op trilindices
URL: https://github.com/apache/incubator-mxnet/pull/17904#issuecomment-611859909
 
 
   Jenkins CI successfully triggered : [unix-gpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #18012: Bert gemms true fp16

2020-04-09 Thread GitBox

mxnet-bot commented on issue #18012: Bert gemms true fp16
URL: https://github.com/apache/incubator-mxnet/pull/18012#issuecomment-611850285
 
 
   Hey @MoisesHer , Thanks for submitting the PR 
   All tests are already queued to run once. If tests fail, you can trigger one 
or more tests again with the following commands: 
   - To trigger all jobs: @mxnet-bot run ci [all] 
   - To trigger specific jobs: @mxnet-bot run ci [job1, job2] 
   *** 
   **CI supported jobs**: [centos-cpu, windows-gpu, unix-cpu, windows-cpu, 
centos-gpu, website, edge, sanity, miscellaneous, clang, unix-gpu]
   *** 
   _Note_: 
Only following 3 categories can trigger CI :PR Author, MXNet Committer, 
Jenkins Admin. 
   All CI tests must pass before the PR can be merged. 
   


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[GitHub] [incubator-mxnet] MoisesHer opened a new pull request #18012: Bert gemms true fp16

2020-04-09 Thread GitBox

MoisesHer opened a new pull request #18012: Bert gemms true fp16
URL: https://github.com/apache/incubator-mxnet/pull/18012
 
 
   ## 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 best of my 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] ciyongch commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

ciyongch commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master 
to 1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009#issuecomment-611845220
 
 
   Adding this to 1.7.0 roadmap 
https://github.com/apache/incubator-mxnet/issues/16864


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[GitHub] [incubator-mxnet] rongzha1 closed pull request #18011: [mkldnn]port master pr to v1.7x : optimize for mkldnn batchnorm backward (#17902 )

2020-04-09 Thread GitBox

rongzha1 closed pull request #18011: [mkldnn]port master pr to v1.7x :  
optimize for mkldnn batchnorm backward (#17902 )
URL: https://github.com/apache/incubator-mxnet/pull/18011
 
 
   


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[GitHub] [incubator-mxnet] rongzha1 commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

rongzha1 commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master 
to 1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009#issuecomment-611832285
 
 
   @mxnet-bot run ci [all]


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[GitHub] [incubator-mxnet] rongzha1 opened a new pull request #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

rongzha1 opened a new pull request #18009: [mkldnn]Mkldnn bn opt backport from 
master to 1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009
 
 
   ## Description ##
   [mkldnn]Mkldnn bn opt backport from master to 1.7x
   
   @TaoLv @pengzhao-intel @ciyongch 
   
   ## 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 best of my 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] rongzha1 commented on issue #18011: [mkldnn]port master pr to v1.7x : optimize for mkldnn batchnorm backward (#17902 )

2020-04-09 Thread GitBox

rongzha1 commented on issue #18011: [mkldnn]port master pr to v1.7x :  optimize 
for mkldnn batchnorm backward (#17902 )
URL: https://github.com/apache/incubator-mxnet/pull/18011#issuecomment-611831383
 
 
   @mxnet-bot run ci [all]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #18011: [mkldnn]port master pr to v1.7x : optimize for mkldnn batchnorm backward (#17902 )

2020-04-09 Thread GitBox

mxnet-bot commented on issue #18011: [mkldnn]port master pr to v1.7x :  
optimize for mkldnn batchnorm backward (#17902 )
URL: https://github.com/apache/incubator-mxnet/pull/18011#issuecomment-611831459
 
 
   Jenkins CI successfully triggered : [sanity, centos-cpu, windows-gpu, 
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[GitHub] [incubator-mxnet] rongzha1 commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

rongzha1 commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master 
to 1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009#issuecomment-611830672
 
 
   > I edited the target branch accordingly
   
   thank you very much.
   
   I have just re-pr it to 1.7.x a minites ago


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[GitHub] [incubator-mxnet] rongzha1 closed pull request #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

rongzha1 closed pull request #18009: [mkldnn]Mkldnn bn opt backport from master 
to 1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009
 
 
   


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #18011: [mkldnn]port master pr to v1.7x : optimize for mkldnn batchnorm backward (#17902 )

2020-04-09 Thread GitBox

mxnet-bot commented on issue #18011: [mkldnn]port master pr to v1.7x :  
optimize for mkldnn batchnorm backward (#17902 )
URL: https://github.com/apache/incubator-mxnet/pull/18011#issuecomment-611829198
 
 
   Hey @rongzha1 , Thanks for submitting the PR 
   All tests are already queued to run once. If tests fail, you can trigger one 
or more tests again with the following commands: 
   - To trigger all jobs: @mxnet-bot run ci [all] 
   - To trigger specific jobs: @mxnet-bot run ci [job1, job2] 
   *** 
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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x

2020-04-09 Thread GitBox

ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17993#issuecomment-611829126
 
 
   Fixes #18005 


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[GitHub] [incubator-mxnet] rongzha1 opened a new pull request #18011: [mkldnn]port master pr to v1.7x : optimize for mkldnn batchnorm backward (#17902 )

2020-04-09 Thread GitBox

rongzha1 opened a new pull request #18011: [mkldnn]port master pr to v1.7x :  
optimize for mkldnn batchnorm backward (#17902 )
URL: https://github.com/apache/incubator-mxnet/pull/18011
 
 
   ## Description ##
   backport pr from master to v1.7x
   origin merged pr is [mkldnn] optimize for mkldnn batchnorm backward #17902 
(https://github.com/apache/incubator-mxnet/pull/17902)
   @ciyongch @TaoLv @pengzhao-intel 
   ## 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 best of my 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] leezu commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

leezu commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master to 
1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009#issuecomment-611828778
 
 
   I edited the target branch accordingly


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[GitHub] [incubator-mxnet] leezu commented on issue #18003: [Flaky Test] test_operator_gpu.test_ftrl

2020-04-09 Thread GitBox

leezu commented on issue #18003: [Flaky Test] test_operator_gpu.test_ftrl
URL: 
https://github.com/apache/incubator-mxnet/issues/18003#issuecomment-611826451
 
 
   @szha plans to switch the testing suite to pytest
   This involves refactoring the randomness logic and may fix the issue. The 
new code would likely be inspired by the code in GluonNLP, where we 
transitioned to pytest already in the initial release and thus refactored the 
random-related stuff for pytest.
   
   https://github.com/dmlc/gluon-nlp/blob/v0.9.x/conftest.py#L41


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17905: [Numpy] add op unpackbits

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17905: [Numpy] add op unpackbits
URL: https://github.com/apache/incubator-mxnet/pull/17905#issuecomment-611825600
 
 
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[GitHub] [incubator-mxnet] Alicia1529 commented on issue #17905: [Numpy] add op unpackbits

2020-04-09 Thread GitBox

Alicia1529 commented on issue #17905: [Numpy] add op unpackbits
URL: https://github.com/apache/incubator-mxnet/pull/17905#issuecomment-611825561
 
 
   @mxnet-bot run ci [windows-gpu, centos-gpu, unix-cpu, unix-gpu, 
macosx-x86_64]


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[GitHub] [incubator-mxnet] waytrue17 opened a new pull request #18010: Fix typos on crash course tutorial website

2020-04-09 Thread GitBox

waytrue17 opened a new pull request #18010: Fix typos on crash course tutorial 
website
URL: https://github.com/apache/incubator-mxnet/pull/18010
 
 
   ## Description ##
   Fix #18007 
   There are two typos on crash course tutorial website (Chapter 4 and 5 each).
   


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #18010: Fix typos on crash course tutorial website

2020-04-09 Thread GitBox

mxnet-bot commented on issue #18010: Fix typos on crash course tutorial website
URL: https://github.com/apache/incubator-mxnet/pull/18010#issuecomment-611825073
 
 
   Hey @waytrue17 , Thanks for submitting the PR 
   All tests are already queued to run once. If tests fail, you can trigger one 
or more tests again with the following commands: 
   - To trigger all jobs: @mxnet-bot run ci [all] 
   - To trigger specific jobs: @mxnet-bot run ci [job1, job2] 
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[GitHub] [incubator-mxnet] ciyongch commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

ciyongch commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master 
to 1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009#issuecomment-611824294
 
 
   Assume you're going to backport this PR to v1.x branch, but currently you 
choose master branch. Please double check the target branch.


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

mxnet-bot commented on issue #18009: [mkldnn]Mkldnn bn opt backport from master 
to 1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009#issuecomment-611823743
 
 
   Hey @rongzha1 , Thanks for submitting the PR 
   All tests are already queued to run once. If tests fail, you can trigger one 
or more tests again with the following commands: 
   - To trigger all jobs: @mxnet-bot run ci [all] 
   - To trigger specific jobs: @mxnet-bot run ci [job1, job2] 
   *** 
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   All CI tests must pass before the PR can be merged. 
   


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[GitHub] [incubator-mxnet] rongzha1 opened a new pull request #18009: [mkldnn]Mkldnn bn opt backport from master to 1.7x

2020-04-09 Thread GitBox

rongzha1 opened a new pull request #18009: [mkldnn]Mkldnn bn opt backport from 
master to 1.7x
URL: https://github.com/apache/incubator-mxnet/pull/18009
 
 
   ## Description ##
   [mkldnn]Mkldnn bn opt backport from master to 1.7x
   
   @TaoLv @pengzhao-intel @ciyongch 
   
   ## 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 best of my 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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[incubator-mxnet] branch master updated (0eeb337 -> d8c7293)

2020-04-09 Thread haoj

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


from 0eeb337  Improve activation backward (#17973)
 add d8c7293  fix np flip when axis input contains negative number (#17880)

No new revisions were added by this update.

Summary of changes:
 src/operator/numpy/np_matrix_op-inl.h  | 3 +++
 tests/python/unittest/test_numpy_op.py | 4 ++--
 2 files changed, 5 insertions(+), 2 deletions(-)

[incubator-mxnet] branch master updated (0eeb337 -> d8c7293)

2020-04-09 Thread haoj

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


from 0eeb337  Improve activation backward (#17973)
 add d8c7293  fix np flip when axis input contains negative number (#17880)

No new revisions were added by this update.

Summary of changes:
 src/operator/numpy/np_matrix_op-inl.h  | 3 +++
 tests/python/unittest/test_numpy_op.py | 4 ++--
 2 files changed, 5 insertions(+), 2 deletions(-)

[incubator-mxnet] branch master updated (0eeb337 -> d8c7293)

2020-04-09 Thread haoj

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


from 0eeb337  Improve activation backward (#17973)
 add d8c7293  fix np flip when axis input contains negative number (#17880)

No new revisions were added by this update.

Summary of changes:
 src/operator/numpy/np_matrix_op-inl.h  | 3 +++
 tests/python/unittest/test_numpy_op.py | 4 ++--
 2 files changed, 5 insertions(+), 2 deletions(-)

[GitHub] [incubator-mxnet] haojin2 merged pull request #17880: [NumPy] Fix np flip when axis input contains negative number

2020-04-09 Thread GitBox

haojin2 merged pull request #17880: [NumPy] Fix np flip when axis input 
contains negative number
URL: https://github.com/apache/incubator-mxnet/pull/17880
 
 
   


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[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.

2020-04-09 Thread aaronmarkham

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The following commit(s) were added to refs/heads/asf-site by this push:
 new a6c9fa9  Bump the publish timestamp.
a6c9fa9 is described below

commit a6c9fa9daf7c3e640e7f161e60715013473c363a
Author: mxnet-ci 
AuthorDate: Fri Apr 10 00:46:44 2020 +

Bump the publish timestamp.
---
 date.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/date.txt b/date.txt
new file mode 100644
index 000..5625c09
--- /dev/null
+++ b/date.txt
@@ -0,0 +1 @@
+Fri Apr 10 00:46:44 UTC 2020

[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.

2020-04-09 Thread aaronmarkham

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The following commit(s) were added to refs/heads/asf-site by this push:
 new a6c9fa9  Bump the publish timestamp.
a6c9fa9 is described below

commit a6c9fa9daf7c3e640e7f161e60715013473c363a
Author: mxnet-ci 
AuthorDate: Fri Apr 10 00:46:44 2020 +

Bump the publish timestamp.
---
 date.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/date.txt b/date.txt
new file mode 100644
index 000..5625c09
--- /dev/null
+++ b/date.txt
@@ -0,0 +1 @@
+Fri Apr 10 00:46:44 UTC 2020

[GitHub] [incubator-mxnet] ElaineBao commented on issue #17900: [MKLDNN] support using any format in pooling backward

2020-04-09 Thread GitBox

ElaineBao commented on issue #17900: [MKLDNN] support using any format in 
pooling backward
URL: https://github.com/apache/incubator-mxnet/pull/17900#issuecomment-611820403
 
 
   @mxnet-bot run ci [centos-gpu, windows-gpu, unix-gpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17900: [MKLDNN] support using any format in pooling backward

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17900: [MKLDNN] support using any format in 
pooling backward
URL: https://github.com/apache/incubator-mxnet/pull/17900#issuecomment-611820429
 
 
   Jenkins CI successfully triggered : [unix-gpu, windows-gpu, centos-gpu]


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[incubator-mxnet] branch master updated (6a931c7 -> 0eeb337)

2020-04-09 Thread patriczhao

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


from 6a931c7  Add np.linalg.qr (#17851)
 add 0eeb337  Improve activation backward (#17973)

No new revisions were added by this update.

Summary of changes:
 src/operator/nn/mkldnn/mkldnn_act.cc | 33 -
 1 file changed, 20 insertions(+), 13 deletions(-)

[incubator-mxnet] branch master updated (6a931c7 -> 0eeb337)

2020-04-09 Thread patriczhao

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patriczhao pushed a change to branch master
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from 6a931c7  Add np.linalg.qr (#17851)
 add 0eeb337  Improve activation backward (#17973)

No new revisions were added by this update.

Summary of changes:
 src/operator/nn/mkldnn/mkldnn_act.cc | 33 -
 1 file changed, 20 insertions(+), 13 deletions(-)

[incubator-mxnet] branch master updated (6a931c7 -> 0eeb337)

2020-04-09 Thread patriczhao

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patriczhao pushed a change to branch master
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from 6a931c7  Add np.linalg.qr (#17851)
 add 0eeb337  Improve activation backward (#17973)

No new revisions were added by this update.

Summary of changes:
 src/operator/nn/mkldnn/mkldnn_act.cc | 33 -
 1 file changed, 20 insertions(+), 13 deletions(-)

[incubator-mxnet] branch master updated (6a931c7 -> 0eeb337)

2020-04-09 Thread patriczhao

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from 6a931c7  Add np.linalg.qr (#17851)
 add 0eeb337  Improve activation backward (#17973)

No new revisions were added by this update.

Summary of changes:
 src/operator/nn/mkldnn/mkldnn_act.cc | 33 -
 1 file changed, 20 insertions(+), 13 deletions(-)

[GitHub] [incubator-mxnet] pengzhao-intel commented on issue #17902: [mkldnn] optimize for mkldnn batchnorm backward

2020-04-09 Thread GitBox

pengzhao-intel commented on issue #17902: [mkldnn] optimize for mkldnn 
batchnorm backward
URL: https://github.com/apache/incubator-mxnet/pull/17902#issuecomment-611818479
 
 
   Please file a new PR to 1.7 branch :)


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[incubator-mxnet] branch master updated (6a931c7 -> 0eeb337)

2020-04-09 Thread patriczhao

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from 6a931c7  Add np.linalg.qr (#17851)
 add 0eeb337  Improve activation backward (#17973)

No new revisions were added by this update.

Summary of changes:
 src/operator/nn/mkldnn/mkldnn_act.cc | 33 -
 1 file changed, 20 insertions(+), 13 deletions(-)

[GitHub] [incubator-mxnet] pengzhao-intel commented on issue #17900: [MKLDNN] support using any format in pooling backward

2020-04-09 Thread GitBox

pengzhao-intel commented on issue #17900: [MKLDNN] support using any format in 
pooling backward
URL: https://github.com/apache/incubator-mxnet/pull/17900#issuecomment-611818286
 
 
   Please rebase the code and trigger CI again.


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[GitHub] [incubator-mxnet] pengzhao-intel merged pull request #17973: Improve activation backward

2020-04-09 Thread GitBox

pengzhao-intel merged pull request #17973: Improve activation backward
URL: https://github.com/apache/incubator-mxnet/pull/17973
 
 
   


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17974: Add instructions on distributed MXNet with Horovod on Kubernetes

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17974: Add instructions on distributed MXNet with 
Horovod on Kubernetes
URL: https://github.com/apache/incubator-mxnet/pull/17974#issuecomment-611816793
 
 
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[GitHub] [incubator-mxnet] terrytangyuan commented on issue #17974: Add instructions on distributed MXNet with Horovod on Kubernetes

2020-04-09 Thread GitBox

terrytangyuan commented on issue #17974: Add instructions on distributed MXNet 
with Horovod on Kubernetes
URL: https://github.com/apache/incubator-mxnet/pull/17974#issuecomment-611816755
 
 
   @mxnet-bot run ci [unix-gpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17759: [numpy] FFI for insert \ delete \ matmul etc.

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17759: [numpy] FFI for insert \ delete \ matmul 
etc.
URL: https://github.com/apache/incubator-mxnet/pull/17759#issuecomment-611805867
 
 
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[GitHub] [incubator-mxnet] JiangZhaoh commented on issue #17759: [numpy] FFI for insert \ delete \ matmul etc.

2020-04-09 Thread GitBox

JiangZhaoh commented on issue #17759: [numpy] FFI for insert \ delete \ matmul 
etc.
URL: https://github.com/apache/incubator-mxnet/pull/17759#issuecomment-611805834
 
 
   @mxnet-bot run ci [unix-gpu]


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[GitHub] [incubator-mxnet] ptrendx commented on issue #18003: [Flaky Test] test_operator_gpu.test_ftrl

2020-04-09 Thread GitBox

ptrendx commented on issue #18003: [Flaky Test] test_operator_gpu.test_ftrl
URL: 
https://github.com/apache/incubator-mxnet/issues/18003#issuecomment-611795493
 
 
   Hmm, something is wrong with the random seed generation of tests - all those 
failing `test_ftrl` got the same seed: 
   ```
   common: INFO: Setting test np/mx/python random seeds, use 
MXNET_TEST_SEED=386103813 to reproduce.
   ```
   
   FYI @roywei Since you are already looking at random-related stuff and 
@DickJC123 since you wrote the `@with_seed` facility.


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[GitHub] [incubator-mxnet] ptrendx commented on issue #18003: [Flaky Test] test_operator_gpu.test_ftrl

2020-04-09 Thread GitBox

ptrendx commented on issue #18003: [Flaky Test] test_operator_gpu.test_ftrl
URL: 
https://github.com/apache/incubator-mxnet/issues/18003#issuecomment-611793394
 
 
   Also seen in #17995.


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17880: [NumPy] Fix np flip when axis input contains negative number

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17880: [NumPy] Fix np flip when axis input 
contains negative number
URL: https://github.com/apache/incubator-mxnet/pull/17880#issuecomment-611779572
 
 
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[GitHub] [incubator-mxnet] haojin2 commented on issue #17880: [NumPy] Fix np flip when axis input contains negative number

2020-04-09 Thread GitBox

haojin2 commented on issue #17880: [NumPy] Fix np flip when axis input contains 
negative number
URL: https://github.com/apache/incubator-mxnet/pull/17880#issuecomment-611779498
 
 
   @mxnet-bot run ci [windows-gpu]


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[GitHub] [incubator-mxnet] leezu commented on issue #18004: Wrong result when using new numpy ffi in deferred compute

2020-04-09 Thread GitBox

leezu commented on issue #18004: Wrong result when using new numpy ffi in 
deferred compute
URL: 
https://github.com/apache/incubator-mxnet/issues/18004#issuecomment-611770593
 
 
   Thanks for reporting the issue. I can confirm that disabling the new FFI for 
`tril` via below patch avoids the issue. I'll take a look why the two FFIs 
behave differently
   
   ``` diff
   diff --git a/python/mxnet/ndarray/numpy/_op.py 
b/python/mxnet/ndarray/numpy/_op.py
   index 4820f56f3..8ff7ba073 100644
   --- a/python/mxnet/ndarray/numpy/_op.py
   +++ b/python/mxnet/ndarray/numpy/_op.py
   @@ -2051,7 +2051,7 @@ def tril(m, k=0):
   [ 7.,  8.,  0.],
   [10., 11., 12.]])
"""
   -return _api_internal.tril(m, k)
   +return _npi.tril(m, k)
   
   
def _unary_func_helper(x, fn_array, fn_scalar, out=None, **kwargs):
   ```


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17879: [Numpy] FFI for linalg.eig/eigh/det/slogdet

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17879: [Numpy] FFI for linalg.eig/eigh/det/slogdet
URL: https://github.com/apache/incubator-mxnet/pull/17879#issuecomment-611765024
 
 
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[GitHub] [incubator-mxnet] haojin2 commented on issue #17879: [Numpy] FFI for linalg.eig/eigh/det/slogdet

2020-04-09 Thread GitBox

haojin2 commented on issue #17879: [Numpy] FFI for linalg.eig/eigh/det/slogdet
URL: https://github.com/apache/incubator-mxnet/pull/17879#issuecomment-611764980
 
 
   @mxnet-bot run ci [windows-gpu]


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[incubator-mxnet] branch master updated (5ff2994 -> 6a931c7)

2020-04-09 Thread haoj

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from 5ff2994  [Website 2.0] General Version Dropdown (#17948)
 add 6a931c7  Add np.linalg.qr (#17851)

No new revisions were added by this update.

Summary of changes:
 python/mxnet/ndarray/numpy/linalg.py   |  63 ++-
 python/mxnet/numpy/fallback_linalg.py  |   4 +-
 python/mxnet/numpy/linalg.py   |  61 ++-
 python/mxnet/numpy_dispatch_protocol.py|   1 +
 python/mxnet/symbol/numpy/linalg.py|  63 ++-
 src/operator/c_lapack_api.cc   |  20 +
 src/operator/c_lapack_api.h|  72 +++
 src/operator/numpy/linalg/np_qr-inl.h  | 481 +
 src/operator/numpy/linalg/np_qr.cc | 105 +
 .../numpy/linalg/{np_potrf.cu => np_qr.cu} |  10 +-
 .../python/unittest/test_numpy_interoperability.py |  16 +-
 tests/python/unittest/test_numpy_op.py |  76 
 12 files changed, 950 insertions(+), 22 deletions(-)
 create mode 100644 src/operator/numpy/linalg/np_qr-inl.h
 create mode 100644 src/operator/numpy/linalg/np_qr.cc
 copy src/operator/numpy/linalg/{np_potrf.cu => np_qr.cu} (81%)

[incubator-mxnet] branch master updated (5ff2994 -> 6a931c7)

2020-04-09 Thread haoj

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haoj pushed a change to branch master
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from 5ff2994  [Website 2.0] General Version Dropdown (#17948)
 add 6a931c7  Add np.linalg.qr (#17851)

No new revisions were added by this update.

Summary of changes:
 python/mxnet/ndarray/numpy/linalg.py   |  63 ++-
 python/mxnet/numpy/fallback_linalg.py  |   4 +-
 python/mxnet/numpy/linalg.py   |  61 ++-
 python/mxnet/numpy_dispatch_protocol.py|   1 +
 python/mxnet/symbol/numpy/linalg.py|  63 ++-
 src/operator/c_lapack_api.cc   |  20 +
 src/operator/c_lapack_api.h|  72 +++
 src/operator/numpy/linalg/np_qr-inl.h  | 481 +
 src/operator/numpy/linalg/np_qr.cc | 105 +
 .../numpy/linalg/{np_potrf.cu => np_qr.cu} |  10 +-
 .../python/unittest/test_numpy_interoperability.py |  16 +-
 tests/python/unittest/test_numpy_op.py |  76 
 12 files changed, 950 insertions(+), 22 deletions(-)
 create mode 100644 src/operator/numpy/linalg/np_qr-inl.h
 create mode 100644 src/operator/numpy/linalg/np_qr.cc
 copy src/operator/numpy/linalg/{np_potrf.cu => np_qr.cu} (81%)

[incubator-mxnet] branch master updated (5ff2994 -> 6a931c7)

2020-04-09 Thread haoj

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haoj pushed a change to branch master
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from 5ff2994  [Website 2.0] General Version Dropdown (#17948)
 add 6a931c7  Add np.linalg.qr (#17851)

No new revisions were added by this update.

Summary of changes:
 python/mxnet/ndarray/numpy/linalg.py   |  63 ++-
 python/mxnet/numpy/fallback_linalg.py  |   4 +-
 python/mxnet/numpy/linalg.py   |  61 ++-
 python/mxnet/numpy_dispatch_protocol.py|   1 +
 python/mxnet/symbol/numpy/linalg.py|  63 ++-
 src/operator/c_lapack_api.cc   |  20 +
 src/operator/c_lapack_api.h|  72 +++
 src/operator/numpy/linalg/np_qr-inl.h  | 481 +
 src/operator/numpy/linalg/np_qr.cc | 105 +
 .../numpy/linalg/{np_potrf.cu => np_qr.cu} |  10 +-
 .../python/unittest/test_numpy_interoperability.py |  16 +-
 tests/python/unittest/test_numpy_op.py |  76 
 12 files changed, 950 insertions(+), 22 deletions(-)
 create mode 100644 src/operator/numpy/linalg/np_qr-inl.h
 create mode 100644 src/operator/numpy/linalg/np_qr.cc
 copy src/operator/numpy/linalg/{np_potrf.cu => np_qr.cu} (81%)

[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17865: [Numpy] add: numpy op rollaxis

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17865: [Numpy] add: numpy op rollaxis
URL: https://github.com/apache/incubator-mxnet/pull/17865#issuecomment-611759542
 
 
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[GitHub] [incubator-mxnet] haojin2 commented on issue #17865: [Numpy] add: numpy op rollaxis

2020-04-09 Thread GitBox

haojin2 commented on issue #17865: [Numpy] add: numpy op rollaxis
URL: https://github.com/apache/incubator-mxnet/pull/17865#issuecomment-611759508
 
 
   @mxnet-bot run ci [unix-gpu]


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[GitHub] [incubator-mxnet] haojin2 merged pull request #17851: [Numpy] np.linalg.qr forward implementation

2020-04-09 Thread GitBox

haojin2 merged pull request #17851: [Numpy] np.linalg.qr forward implementation
URL: https://github.com/apache/incubator-mxnet/pull/17851
 
 
   


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[GitHub] [incubator-mxnet] sysdef closed issue #18008: cpanm AI::MXNetCAPI fails: error: mxnet_wrap.o: No such file or directory

2020-04-09 Thread GitBox

sysdef closed issue #18008: cpanm AI::MXNetCAPI fails: error: mxnet_wrap.o: No 
such file or directory
URL: https://github.com/apache/incubator-mxnet/issues/18008
 
 
   


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[GitHub] [incubator-mxnet] sysdef opened a new issue #18008: cpanm AI::MXNetCAPI fails: error: mxnet_wrap.o: No such file or directory

2020-04-09 Thread GitBox

sysdef opened a new issue #18008: cpanm AI::MXNetCAPI fails: error: 
mxnet_wrap.o: No such file or directory
URL: https://github.com/apache/incubator-mxnet/issues/18008
 
 
   ## Description
   
   installing AI::MXNetCAPI fails
   
   ### Error Message
   
   cpanm AI::MXNetCAPI fails
   
   ## To Reproduce
   
   type: sudo cpanm -v AI::MXNetCAPI
   
   ## Environment
   
   debian 10 stable, 64 bit
   
   ```
   sudo cpanm -v AI::MXNetCAPI
   cpanm (App::cpanminus) 1.7044 on perl 5.028001 built for 
x86_64-linux-gnu-thread-multi
   Work directory is /root/.cpanm/work/1586466130.25207
   You have make /usr/bin/make
   You have LWP 6.36
   You have /usr/bin/tar: tar (GNU tar) 1.30
   Copyright (C) 2017 Free Software Foundation, Inc.
   License GPLv3+: GNU GPL version 3 or later 
.
   This is free software: you are free to change and redistribute it.
   There is NO WARRANTY, to the extent permitted by law.
   
   Written by John Gilmore and Jay Fenlason.
   You have /usr/bin/unzip
   Searching AI::MXNetCAPI () on cpanmetadb ...
   --> Working on AI::MXNetCAPI
   Fetching 
http://www.cpan.org/authors/id/S/SK/SKOLYCHEV/AI-MXNetCAPI-1.5.tar.gz ... OK
   Unpacking AI-MXNetCAPI-1.5.tar.gz
   AI-MXNetCAPI-1.5/
   AI-MXNetCAPI-1.5/README
   AI-MXNetCAPI-1.5/mxnet.i
   AI-MXNetCAPI-1.5/lib/
   AI-MXNetCAPI-1.5/lib/AI/
   AI-MXNetCAPI-1.5/lib/AI/MXNetCAPI.pm
   AI-MXNetCAPI-1.5/Makefile.PL
   AI-MXNetCAPI-1.5/META.yml
   AI-MXNetCAPI-1.5/Changes
   AI-MXNetCAPI-1.5/mxnet_typemaps.i
   AI-MXNetCAPI-1.5/META.json
   AI-MXNetCAPI-1.5/MANIFEST
   AI-MXNetCAPI-1.5/t/
   AI-MXNetCAPI-1.5/t/AI-MXNetCAPI.t
   Entering AI-MXNetCAPI-1.5
   Checking configure dependencies from META.json
   Checking if you have ExtUtils::MakeMaker 6.58 ... Yes (7.34)
   Running Makefile.PL
   Configuring AI-MXNetCAPI-1.5 ... Checking if your kit is complete...
   Looks good
   Warning (mostly harmless): No library found for -lmxnet
   Generating a Unix-style Makefile
   Writing Makefile for AI::MXNetCAPI
   Writing MYMETA.yml and MYMETA.json
   OK
   Checking dependencies from MYMETA.json ...
   Checking if you have ExtUtils::MakeMaker 0 ... Yes (7.34)
   Checking if you have Test::More 0 ... Yes (1.302170)
   Building and testing AI-MXNetCAPI-1.5 ... cp lib/AI/MXNetCAPI.pm 
blib/lib/AI/MXNetCAPI.pm
   Running Mkbootstrap for MXNetCAPI ()
   chmod 644 "MXNetCAPI.bs"
   "/usr/bin/perl" -MExtUtils::Command::MM -e 'cp_nonempty' -- MXNetCAPI.bs 
blib/arch/auto/AI/MXNetCAPI/MXNetCAPI.bs 644
   rm -f blib/arch/auto/AI/MXNetCAPI/MXNetCAPI.so
   x86_64-linux-gnu-gcc  -shared -L/usr/local/lib -fstack-protector-strong  
mxnet_wrap.o  -o blib/arch/auto/AI/MXNetCAPI/MXNetCAPI.so  \
 \
 
   x86_64-linux-gnu-gcc: error: mxnet_wrap.o: No such file or directory
   x86_64-linux-gnu-gcc: fatal error: no input files
   compilation terminated.
   make: *** [Makefile:479: blib/arch/auto/AI/MXNetCAPI/MXNetCAPI.so] Error 1
   FAIL
   ! Installing AI::MXNetCAPI failed. See 
/root/.cpanm/work/1586466130.25207/build.log for details. Retry with --force to 
force install it.
   
   ```
   


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[GitHub] [incubator-mxnet] ptrendx commented on issue #17937: Fix for handling negative indices in the fusion of slice

2020-04-09 Thread GitBox

ptrendx commented on issue #17937: Fix for handling negative indices in the 
fusion of slice
URL: https://github.com/apache/incubator-mxnet/pull/17937#issuecomment-611750804
 
 
   @mxnet-bot run ci [centos-gpu, unix-gpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17937: Fix for handling negative indices in the fusion of slice

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17937: Fix for handling negative indices in the 
fusion of slice
URL: https://github.com/apache/incubator-mxnet/pull/17937#issuecomment-611750847
 
 
   Jenkins CI successfully triggered : [unix-gpu, centos-gpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17946: Change register_op_hook to take MXNet and Python types instead of C types

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17946: Change register_op_hook to take MXNet and 
Python types instead of C types
URL: https://github.com/apache/incubator-mxnet/pull/17946#issuecomment-611747337
 
 
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[GitHub] [incubator-mxnet] ptrendx commented on issue #17946: Change register_op_hook to take MXNet and Python types instead of C types

2020-04-09 Thread GitBox

ptrendx commented on issue #17946: Change register_op_hook to take MXNet and 
Python types instead of C types
URL: https://github.com/apache/incubator-mxnet/pull/17946#issuecomment-611747274
 
 
   @mxnet-bot run ci [unix-gpu, unix-cpu]


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[GitHub] [incubator-mxnet] waytrue17 opened a new issue #18007: Typo on tutorial website

2020-04-09 Thread GitBox

waytrue17 opened a new issue #18007: Typo on tutorial website
URL: https://github.com/apache/incubator-mxnet/issues/18007
 
 
   ## Description
   There is a typo in "crash course tutorial" website. In the "Get data" 
session of "Train the neural network" chapter,  the tutorial says "Next, we 
visualize the first six examples" while the actual code displays first ten 
examples.
   
   https://user-images.githubusercontent.com/52505574/78936894-4b7ca680-7a64-11ea-8718-842f9b8f57fc.png;>
   
   


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17949: Allow input reordering duing Gluon / CachedOp graph transformations

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17949: Allow input reordering duing Gluon / 
CachedOp graph transformations
URL: https://github.com/apache/incubator-mxnet/pull/17949#issuecomment-611712729
 
 
   Jenkins CI successfully triggered : [edge, windows-gpu, sanity, windows-cpu, 
unix-cpu, unix-gpu, miscellaneous, centos-gpu, centos-cpu, clang, website]


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[GitHub] [incubator-mxnet] mk-61 commented on issue #17949: Allow input reordering duing Gluon / CachedOp graph transformations

2020-04-09 Thread GitBox

mk-61 commented on issue #17949: Allow input reordering duing Gluon / CachedOp 
graph transformations
URL: https://github.com/apache/incubator-mxnet/pull/17949#issuecomment-611712640
 
 
   @mxnet-bot run ci [all]


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[GitHub] [incubator-mxnet] cenggokhan opened a new issue #18006: Amalgamation Android arm64

2020-04-09 Thread GitBox

cenggokhan opened a new issue #18006: Amalgamation Android arm64
URL: https://github.com/apache/incubator-mxnet/issues/18006
 
 
   I compiled and get jni_libmxnet_predict.so for Android arm64, however when I 
use this file in my app, an exception like;
   java.lang.UnsatisfiedLinkError: dlopen failed: cannot locate symbol 
"_ZN5mxnet18CachedOpThreadSafeC1ERKN4nnvm6SymbolERKNSt6__ndk16vectorINS5_4pairINS5_12basic_stringIcNS5_11char_traitsIcEENS5_9allocatorIcSD_EENSB_ISE_"
 referenced by 
"/data/app/com.redrosecps.faceverification-ip3Uhkl5FWXePuSYo9ENVA==/lib/arm64/libmxnet_predict.so"...
   at java.lang.Runtime.loadLibrary0(Runtime.java:1071)
   at java.lang.Runtime.loadLibrary0(Runtime.java:1007)
   at java.lang.System.loadLibrary(System.java:1668)
   at org.dmlc.mxnet.Predictor.(Predictor.java:8)
   arises. Can you help me, what am I doing wrong?
   


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[GitHub] [incubator-mxnet] hgt312 commented on issue #18004: Wrong result when using new numpy ffi in deferred compute

2020-04-09 Thread GitBox

hgt312 commented on issue #18004: Wrong result when using new numpy ffi in 
deferred compute
URL: 
https://github.com/apache/incubator-mxnet/issues/18004#issuecomment-611702338
 
 
   @hzfan 


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[GitHub] [incubator-mxnet] leezu commented on issue #18005: [nvidia-docker][1.6] apt-get update failing with gnutls_handshake() failed: Handshake failed

2020-04-09 Thread GitBox

leezu commented on issue #18005: [nvidia-docker][1.6] apt-get update failing 
with gnutls_handshake() failed: Handshake failed
URL: 
https://github.com/apache/incubator-mxnet/issues/18005#issuecomment-611702142
 
 
   Ubuntu 14.04 is no longer supported. Nvidia may now require a newer ssl 
toolchain than provided by ubuntu 14.04.
   
   The issue doesn't occur on master because it's hidden by the Docker cache


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x

2020-04-09 Thread GitBox

ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17993#issuecomment-611692592
 
 
   @mxnet-bot run ci [unix-cpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17993#issuecomment-611692662
 
 
   Jenkins CI successfully triggered : [unix-cpu]


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #18005: [nvidia-docker][1.6] apt-get update failing with gnutls_handshake() failed: Handshake failed

2020-04-09 Thread GitBox

ChaiBapchya commented on issue #18005: [nvidia-docker][1.6] apt-get update 
failing with gnutls_handshake() failed: Handshake failed
URL: 
https://github.com/apache/incubator-mxnet/issues/18005#issuecomment-611692990
 
 
   Discovered in all 5 builds of PR 
https://github.com/apache/incubator-mxnet/pull/17993
   


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[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.

2020-04-09 Thread aaronmarkham

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

aaronmarkham 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 a045526  Bump the publish timestamp.
a045526 is described below

commit a04552647846f5e95f4f3b2e5991e1d343efd948
Author: mxnet-ci 
AuthorDate: Thu Apr 9 18:46:32 2020 +

Bump the publish timestamp.
---
 date.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/date.txt b/date.txt
new file mode 100644
index 000..b0576f2
--- /dev/null
+++ b/date.txt
@@ -0,0 +1 @@
+Thu Apr  9 18:46:32 UTC 2020

[GitHub] [incubator-mxnet] ChaiBapchya opened a new issue #18005: [nvidia-docker][1.6] apt-get update failing with gnutls_handshake() failed: Handshake failed

2020-04-09 Thread GitBox

ChaiBapchya opened a new issue #18005: [nvidia-docker][1.6] apt-get update 
failing with gnutls_handshake() failed: Handshake failed
URL: https://github.com/apache/incubator-mxnet/issues/18005
 
 
   ## Description
   Ubuntu 14.04
   1.6 branch
   Static build Python
   
   ### Error Message
   ```
   gnutls_handshake() failed: Handshake failed while fetching : 
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/Packages
   ```
   
   ## To Reproduce
   ```
   git checkout v1.6.x
   ci/build.py --docker-registry mxnetci --nvidiadocker --platform 
publish.ubuntu1404_gpu --docker-build-retries 3 --shm-size 500m 
/work/runtime_functions.sh build_static_python_cu101mkl
   ```
   
   ## What have you tried to solve it?
   
   1. Tried it locally. Able to reproduce. Hence ruling out possibility of 
Jenkins error.
   This is a security / certificate issue [likely]. Since apt-get is unable to 
fetch the package.
   
   While : 
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/Packages
 is a 404.
   
   https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64 
is a valid URL. It has several files [Packages.gz being one of them.
   
   ## Comments
   Surprisingly, this doesn't happen on master branch or on the previous 
commits to v1.6 branch


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[GitHub] [incubator-mxnet] hgt312 opened a new issue #18004: Wrong result when using new numpy ffi in deferred compute

2020-04-09 Thread GitBox

hgt312 opened a new issue #18004: Wrong result when using new numpy ffi in 
deferred compute
URL: https://github.com/apache/incubator-mxnet/issues/18004
 
 
   Find it in CI result of https://github.com/apache/incubator-mxnet/pull/17958.
   
   ## Reproduce:
   
   Sample code, use master branch
   
   ```python
   import mxnet as mx
   import mxnet._deferred_compute as dc
   from mxnet import np, npx
   npx.set_np()
   with dc.context():
   a = np.ones((2, 2))
   b = np.tril(a, 1)
   c = np.tril(a, -1)
   
   sym = dc.get_symbol([b, c], sym_cls=mx.sym.np._Symbol)
   res = sym.bind(mx.context.current_context(), args={}).forward()
   res
   ```
   
   Results:
   
   ```
   [
   [[1. 1.]
[1. 1.]]
   ,
   [[1. 1.]
[1. 1.]]
   ]
   ```
   
   If replace `_api_internal.tril` by `_npi.tril`, the result is right.
   
   @leezu Can you take a look at this?


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[GitHub] [incubator-mxnet] D-Roberts commented on issue #17851: [Numpy] np.linalg.qr forward implementation

2020-04-09 Thread GitBox

D-Roberts commented on issue #17851: [Numpy] np.linalg.qr forward implementation
URL: https://github.com/apache/incubator-mxnet/pull/17851#issuecomment-611671380
 
 
   @haojin2 All work is completed and all CI passed, thanks.


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[GitHub] [incubator-mxnet] ChaiBapchya edited a comment on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x

2020-04-09 Thread GitBox

ChaiBapchya edited a comment on issue #17993: [R][v1.6.x] Fix doc build issue 
on v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17993#issuecomment-611556494
 
 
   @lanking520 @zachgk any idea about the Scala failure? 
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-17993/4/pipeline
   
   Since this is a network issue, generally gets resolved by retriggering the 
build.
   
   Looking into the Static build 14.04 Python unix-gpu failure : it fails at 
apt-get update in ubuntu_publish.sh 
   it is on ubuntu 14.04 with nvidia-docker.
   Surprisingly, master branch doesn't fail. Nor do previous commits in 1.6 
branch.


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[GitHub] [incubator-mxnet] terrytangyuan commented on issue #17974: Add instructions on distributed MXNet with Horovod on Kubernetes

2020-04-09 Thread GitBox

terrytangyuan commented on issue #17974: Add instructions on distributed MXNet 
with Horovod on Kubernetes
URL: https://github.com/apache/incubator-mxnet/pull/17974#issuecomment-611619390
 
 
   @mxnet-bot run ci [unix-gpu]


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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17974: Add instructions on distributed MXNet with Horovod on Kubernetes

2020-04-09 Thread GitBox

mxnet-bot commented on issue #17974: Add instructions on distributed MXNet with 
Horovod on Kubernetes
URL: https://github.com/apache/incubator-mxnet/pull/17974#issuecomment-611619465
 
 
   Jenkins CI successfully triggered : [unix-gpu]


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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x

2020-04-09 Thread GitBox

ChaiBapchya commented on issue #17993: [R][v1.6.x] Fix doc build issue on v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17993#issuecomment-611556494
 
 
   @lanking520 @zachgk any idea about the Scala failures? 
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-17993/4/pipeline


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[GitHub] [incubator-mxnet] zixuanweeei commented on issue #18003: [Flaky Test] test_operator_gpu.test_ftrl

2020-04-09 Thread GitBox

zixuanweeei commented on issue #18003: [Flaky Test] test_operator_gpu.test_ftrl
URL: 
https://github.com/apache/incubator-mxnet/issues/18003#issuecomment-611539298
 
 
   @mxnet-label-bot add [gpu, optimizer]


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[GitHub] [incubator-mxnet] zixuanweeei opened a new issue #18003: [Flaky Test] test_operator_gpu.test_ftrl

2020-04-09 Thread GitBox

zixuanweeei opened a new issue #18003: [Flaky Test] test_operator_gpu.test_ftrl
URL: https://github.com/apache/incubator-mxnet/issues/18003
 
 
   ## Description
   `test_ftrl()` is located in 
https://github.com/apache/incubator-mxnet/blob/master/tests/python/unittest/test_optimizer.py#L671
   
   ## Occurrences
   + 
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-18001/2/pipeline/429
   + 
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-18001/2/pipeline/418
   + 
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-17779/17/pipeline
   + 
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-17531/28/pipeline
   


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