[GitHub] szha commented on issue #8532: mxnet-mkl (v0.12.0) crash when using (conda-installed) numpy with MKL

szha commented on issue #8532: mxnet-mkl (v0.12.0) crash when using (conda-installed) numpy with MKL URL: https://github.com/apache/incubator-mxnet/issues/8532#issuecomment-379156409 @pengzhao-intel any update? This is an

[GitHub] piiswrong commented on issue #10427: [MXNET-288] Fix ssd example

piiswrong commented on issue #10427: [MXNET-288] Fix ssd example URL: https://github.com/apache/incubator-mxnet/pull/10427#issuecomment-379155453 @zhreshold This is an automated message from the Apache Git Service. To

[GitHub] piiswrong closed pull request #10430: [MXNET-274]Update versions of python dependencies

piiswrong closed pull request #10430: [MXNET-274]Update versions of python dependencies URL: https://github.com/apache/incubator-mxnet/pull/10430 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance:

[incubator-mxnet] branch master updated: Update versions of python dependencies (#10430)

This is an automated email from the ASF dual-hosted git repository. jxie pushed a commit to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/master by this push: new 62bf9ec Update versions of python

[GitHub] piiswrong commented on a change in pull request #10434: [MXNET-155] Add support for np.int32 and np.int64 as basic index types

piiswrong commented on a change in pull request #10434: [MXNET-155] Add support for np.int32 and np.int64 as basic index types URL: https://github.com/apache/incubator-mxnet/pull/10434#discussion_r179665498 ## File path: python/mxnet/ndarray/ndarray.py ## @@ -102,6

[GitHub] sandeep-krishnamurthy commented on issue #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy

sandeep-krishnamurthy commented on issue #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy URL: https://github.com/apache/incubator-mxnet/pull/10426#issuecomment-379155239 This and PR here is conflicting -

[GitHub] reminisce opened a new pull request #10434: Add support for np.int32 and np.int64 as basic index types

reminisce opened a new pull request #10434: Add support for np.int32 and np.int64 as basic index types URL: https://github.com/apache/incubator-mxnet/pull/10434 ## Description ## Support np.int32 and np.int64 as basic index types. Those types were not defined as index types previously.

[GitHub] vdantu commented on issue #9613: Transition matrix is not updated during the train in the lstm_crf example

vdantu commented on issue #9613: Transition matrix is not updated during the train in the lstm_crf example URL: https://github.com/apache/incubator-mxnet/issues/9613#issuecomment-379148707 @zhangchen-qinyinghua : Could you please share more information about what issue you were facing?

[GitHub] eric-haibin-lin commented on issue #10431: Elementwise multiplication of two ndarrays returns wrong results

eric-haibin-lin commented on issue #10431: Elementwise multiplication of two ndarrays returns wrong results URL: https://github.com/apache/incubator-mxnet/issues/10431#issuecomment-379144728 @rahul003 can you try `nd.elemwise_mul(x, x)` instead of `x * x`?

[GitHub] hdjsjyl commented on issue #8908: How to use an LSTM Layer in CNN?

hdjsjyl commented on issue #8908: How to use an LSTM Layer in CNN? URL: https://github.com/apache/incubator-mxnet/issues/8908#issuecomment-379143991 @kevinthesun when I use the following the code: it has error: ValueError: Children of HybridBlock must also be HybridBlock, but LSTM(None

[GitHub] wentingj opened a new pull request #10433: Merge to master last

wentingj opened a new pull request #10433: Merge to master last URL: https://github.com/apache/incubator-mxnet/pull/10433 ## Description ## This PR add MKLDNN support for model quantization. Accuracy gap between fp32 and int8 is less than 1% for resnet and inception. Further

[GitHub] CodingCat opened a new issue #10432: move test files for scala infer API to s3

CodingCat opened a new issue #10432: move test files for scala infer API to s3 URL: https://github.com/apache/incubator-mxnet/issues/10432 can we move these files to S3?

[GitHub] sandeep-krishnamurthy closed issue #7073: Segfault when context = mx.gpu() Runs fine when context=mx.cpu()

sandeep-krishnamurthy closed issue #7073: Segfault when context = mx.gpu() Runs fine when context=mx.cpu() URL: https://github.com/apache/incubator-mxnet/issues/7073 This is an automated message from the Apache Git Service.

[GitHub] yzhliu closed pull request #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type …

yzhliu closed pull request #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type … URL: https://github.com/apache/incubator-mxnet/pull/10428 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below

[incubator-mxnet] branch master updated: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type … (#10428)

This is an automated email from the ASF dual-hosted git repository. liuyizhi pushed a commit to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/master by this push: new c3a6f19 [MXNET-166] add unknown

[GitHub] kong13661 commented on issue #10419: How can I build mxnet in ubuntu16.04?

kong13661 commented on issue #10419: How can I build mxnet in ubuntu16.04? URL: https://github.com/apache/incubator-mxnet/issues/10419#issuecomment-379137505 That's a mistake... This is an automated message from the Apache

[GitHub] Tian14267 commented on issue #10419: How can I build mxnet in ubuntu16.04?

Tian14267 commented on issue #10419: How can I build mxnet in ubuntu16.04? URL: https://github.com/apache/incubator-mxnet/issues/10419#issuecomment-379137086 Let me laugh-cry for a while @Sorry @kong13661 This is

[GitHub] Sorry commented on issue #10419: How can I build mxnet in ubuntu16.04?

Sorry commented on issue #10419: How can I build mxnet in ubuntu16.04? URL: https://github.com/apache/incubator-mxnet/issues/10419#issuecomment-379134314 Why are you tagging me??? This is an automated message from the Apache

[GitHub] kong13661 commented on issue #10419: How can I build mxnet in ubuntu16.04?

kong13661 commented on issue #10419: How can I build mxnet in ubuntu16.04? URL: https://github.com/apache/incubator-mxnet/issues/10419#issuecomment-379133098 Sorry, I don't know how to fix it, but I think updating your sources such as other ubuntu 16.04 and ubuntu14.04 sources will help

[GitHub] Tian14267 commented on issue #10419: How can I build mxnet in ubuntu16.04?

Tian14267 commented on issue #10419: How can I build mxnet in ubuntu16.04? URL: https://github.com/apache/incubator-mxnet/issues/10419#issuecomment-379129799 it is wrong and I get this: libopencv-dev : 依赖: libopencv-core-dev (= 2.4.9.1+dfsg-1.5ubuntu1) 但是它将不会被安装

[GitHub] Tian14267 commented on issue #10419: How can I build mxnet in ubuntu16.04?

Tian14267 commented on issue #10419: How can I build mxnet in ubuntu16.04? URL: https://github.com/apache/incubator-mxnet/issues/10419#issuecomment-379129799 it is wrong and I get this: libatlas-base-dev : 依赖: libatlas3-base (= 3.10.2-9) 但是它将不会被安装 依赖:

[GitHub] rahul003 commented on issue #10431: Elementwise multiplication of two ndarrays returns wrong results

rahul003 commented on issue #10431: Elementwise multiplication of two ndarrays returns wrong results URL: https://github.com/apache/incubator-mxnet/issues/10431#issuecomment-379127749 This seems to work on the current nightly pip package which uses the commit

[GitHub] anirudh2290 commented on issue #10431: Elementwise multiplication of two ndarrays returns wrong results

anirudh2290 commented on issue #10431: Elementwise multiplication of two ndarrays returns wrong results URL: https://github.com/apache/incubator-mxnet/issues/10431#issuecomment-379127968 @eric-haibin-lin please tag as bug.

[GitHub] rahul003 commented on issue #10431: Elementwise multiplication of two ndarrays returns wrong results

rahul003 commented on issue #10431: Elementwise multiplication of two ndarrays returns wrong results URL: https://github.com/apache/incubator-mxnet/issues/10431#issuecomment-379127749 This seems to work on the current nightly pip package which uses the commit

[GitHub] szha commented on issue #9217: Installing GPU support on Mac

szha commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379125357 and https://pypi.python.org/pypi?:action=display=mxnet-cu91=1.1.0 This is an

[GitHub] szha commented on issue #9217: Installing GPU support on Mac

szha commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379125310 That would be https://developer.nvidia.com/cuda-downloads This is an automated

[GitHub] anirudh2290 opened a new issue #10431: Elementwise multiplication of two ndarrays returns wrong results

anirudh2290 opened a new issue #10431: Elementwise multiplication of two ndarrays returns wrong results URL: https://github.com/apache/incubator-mxnet/issues/10431 Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the

[GitHub] leleamol commented on issue #10430: [MXNET-274]Update versions of python dependencies

leleamol commented on issue #10430: [MXNET-274]Update versions of python dependencies URL: https://github.com/apache/incubator-mxnet/pull/10430#issuecomment-379121374 @marcoabreu @sandeep-krishnamurthy This is an automated

[GitHub] leleamol opened a new pull request #10430: [MXNET-274]Update versions of python dependencies

leleamol opened a new pull request #10430: [MXNET-274]Update versions of python dependencies URL: https://github.com/apache/incubator-mxnet/pull/10430 ## Description ## Fix for #9699 This change enables mxnet to build with upgraded numpy version ## Checklist ## ### Essentials

[GitHub] bradcar commented on issue #9217: Installing GPU support on Mac

bradcar commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379119298 THANKS! what website do I go to download the proper CUDA for mac 10.13.4 and mxnet 1.1.0?

[GitHub] piiswrong commented on a change in pull request #10424: Improved error message

piiswrong commented on a change in pull request #10424: Improved error message URL: https://github.com/apache/incubator-mxnet/pull/10424#discussion_r179637817 ## File path: python/mxnet/gluon/block.py ## @@ -458,7 +458,11 @@ def _build_cache(self, *args):

[incubator-mxnet] branch master updated: [MXNET-241] Module API for distributed training w/ row_sparse weight (#10285)

This is an automated email from the ASF dual-hosted git repository. jxie pushed a commit to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/master by this push: new f600940 [MXNET-241] Module API for

[GitHub] szha commented on issue #9217: Installing GPU support on Mac

szha commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379118446 Usually it's in `/usr/local/cuda` once CUDA is installed. This is an automated

[GitHub] piiswrong closed pull request #10285: [MXNET-241] Module API for distributed training w/ row_sparse weight

piiswrong closed pull request #10285: [MXNET-241] Module API for distributed training w/ row_sparse weight URL: https://github.com/apache/incubator-mxnet/pull/10285 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the

[GitHub] bradcar commented on issue #9217: Installing GPU support on Mac

bradcar commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379118205 I re-installed my Xcode command line developer tools `xcode-select --install` Now the Header directory is there, and I no longer any

[GitHub] conradwt commented on issue #10185: [Documentation][Installation][macOS] Building From Source Has Incomplete Instructions For macOS 10.13.3

conradwt commented on issue #10185: [Documentation][Installation][macOS] Building From Source Has Incomplete Instructions For macOS 10.13.3 URL: https://github.com/apache/incubator-mxnet/issues/10185#issuecomment-379116054 @gautamkmr After building the MXNet from source, I did receive an

[GitHub] roywei commented on issue #9890: MxNet allow to use same name

roywei commented on issue #9890: MxNet allow to use same name URL: https://github.com/apache/incubator-mxnet/issues/9890#issuecomment-379113847 Hi @Caenorst I think this is not a bug, users may want to create two variables with same name and use in different graphs as mentioned in

[GitHub] roywei opened a new pull request #10429: [MXNET-210]give warning for variables with same name in graph visualization

roywei opened a new pull request #10429: [MXNET-210]give warning for variables with same name in graph visualization URL: https://github.com/apache/incubator-mxnet/pull/10429 ## Description ## [Issue 9898](https://github.com/apache/incubator-mxnet/issues/9890) MXNet allow to use same

[GitHub] lanking520 commented on issue #10414: There is no API Reference Doc for R bindings.

lanking520 commented on issue #10414: There is no API Reference Doc for R bindings. URL: https://github.com/apache/incubator-mxnet/issues/10414#issuecomment-379113684 I got the document generated, let's discuss where to put it

[GitHub] gautamkmr commented on issue #10185: [Documentation][Installation][macOS] Building From Source Has Incomplete Instructions For macOS 10.13.3

gautamkmr commented on issue #10185: [Documentation][Installation][macOS] Building From Source Has Incomplete Instructions For macOS 10.13.3 URL: https://github.com/apache/incubator-mxnet/issues/10185#issuecomment-379111994 @conradwt Can you please add more details ? I dont see any

[GitHub] gautamkmr commented on issue #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy

gautamkmr commented on issue #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy URL: https://github.com/apache/incubator-mxnet/pull/10426#issuecomment-379109779 @marcoabreu Ah I see it was a copy paste error.

[GitHub] lanking520 commented on issue #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type …

lanking520 commented on issue #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type … URL: https://github.com/apache/incubator-mxnet/pull/10428#issuecomment-379109768 This one is okay, we don't have unknown Dtype in the past.

[GitHub] gautamkmr commented on issue #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy

gautamkmr commented on issue #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy URL: https://github.com/apache/incubator-mxnet/pull/10426#issuecomment-379109350 @marcoabreu it is matching with setup.py

[GitHub] nswamy commented on issue #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type …

nswamy commented on issue #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type … URL: https://github.com/apache/incubator-mxnet/pull/10428#issuecomment-379109027 @lanking520 ? This is an

[GitHub] nswamy opened a new pull request #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type …

nswamy opened a new pull request #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type … URL: https://github.com/apache/incubator-mxnet/pull/10428 …is unknown ## Description ## (Brief description on what this PR is about) ## Checklist ##

[GitHub] nswamy commented on issue #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type …

nswamy commented on issue #10428: [MXNET-166] add unknown dtype to resolve segfaults when inputType is -1 and type … URL: https://github.com/apache/incubator-mxnet/pull/10428#issuecomment-379108985 #8530 This is an automated

[GitHub] bradcar commented on issue #9217: Installing GPU support on Mac

bradcar commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379107617 xcode Version 9.3 (9E145) This is an automated message from the Apache Git

[GitHub] szha commented on issue #9217: Installing GPU support on Mac

szha commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379104086 I'm not sure what's happening there... Is xcode on your machine? This is an

[GitHub] ThomasDelteil opened a new pull request #10427: [WIP][MXNET-288] Fix ssd example

ThomasDelteil opened a new pull request #10427: [WIP][MXNET-288] Fix ssd example URL: https://github.com/apache/incubator-mxnet/pull/10427 ## Description ## [MXNET-288](https://issues.apache.org/jira/browse/MXNET-288) Fix issue reported here:

[GitHub] gautamkmr commented on issue #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy

gautamkmr commented on issue #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy URL: https://github.com/apache/incubator-mxnet/pull/10426#issuecomment-379101982 @sandeep-krishnamurthy @marcoabreu

[GitHub] gautamkmr opened a new pull request #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy

gautamkmr opened a new pull request #10426: Make the numpy version compatible with Official Mac OS system python-2.7.10's numpy URL: https://github.com/apache/incubator-mxnet/pull/10426 Details: https://github.com/apache/incubator-mxnet/issues/9949 ## Description ## MAC OS system

[GitHub] gautamkmr commented on issue #9949: Mac build from source script validation fails

gautamkmr commented on issue #9949: Mac build from source script validation fails URL: https://github.com/apache/incubator-mxnet/issues/9949#issuecomment-379101745 So MAC OS system python-2.7.10 comes with default numpy version 1.8.0.rc1 We have to change the numpy lower bound version

[GitHub] bradcar commented on issue #9217: Installing GPU support on Mac

bradcar commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379101102 I have two macs 10.12.6 and 10.13.4 . I could not find cblas.h in

[GitHub] bradcar commented on issue #9217: Installing GPU support on Mac

bradcar commented on issue #9217: Installing GPU support on Mac URL: https://github.com/apache/incubator-mxnet/issues/9217#issuecomment-379024613 under: /System/Library/Frameworks/AVFoundation.framework/Versions/Current/Frameworks I was not able to find:

[GitHub] marcoabreu commented on issue #10402: Can't press down arrow in search results dropdown on https://mxnet.incubator.apache.org/

marcoabreu commented on issue #10402: Can't press down arrow in search results dropdown on https://mxnet.incubator.apache.org/ URL: https://github.com/apache/incubator-mxnet/issues/10402#issuecomment-379100377 @aaronmarkham

[GitHub] spidyDev opened a new pull request #10425: [MXNET-175][WIP]NdArrayiterator dict fix

spidyDev opened a new pull request #10425: [MXNET-175][WIP]NdArrayiterator dict fix URL: https://github.com/apache/incubator-mxnet/pull/10425 ## Description ## NDArrayIter is not handling Dict values correctly.It ignored the key. Added change to handle dict correctly while sending

[GitHub] zheng-da commented on issue #10317: [MXNET-264] Improve performance of MKLDNN in small batch sizes.

zheng-da commented on issue #10317: [MXNET-264] Improve performance of MKLDNN in small batch sizes. URL: https://github.com/apache/incubator-mxnet/pull/10317#issuecomment-379096904 @cjolivier01 I have removed "auto" as much as possible.

[GitHub] anirudhacharya commented on issue #9804: [R] mx.io.arrayiter shuffing is disabled

anirudhacharya commented on issue #9804: [R] mx.io.arrayiter shuffing is disabled URL: https://github.com/apache/incubator-mxnet/issues/9804#issuecomment-379096932 This issue is not reproducible on Mac with my RStudio installation. But I am able to reproduce it on one of my EC2

[GitHub] marcoabreu commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters.

marcoabreu commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters. URL: https://github.com/apache/incubator-mxnet/pull/10055#issuecomment-379095827 Yes, we track them on GitHub with the labels "Flaky" and "test". I think they're all tracked (pexcept the perl

[GitHub] marcoabreu commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters.

marcoabreu commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters. URL: https://github.com/apache/incubator-mxnet/pull/10055#issuecomment-379095827 Yes, we track them with the labels "Flaky" and "test". I think they're all tracked (pexcept the perl ones), but

[GitHub] indhub closed pull request #10055: [MXNET-102] Added tutorial on how to use data augmenters.

indhub closed pull request #10055: [MXNET-102] Added tutorial on how to use data augmenters. URL: https://github.com/apache/incubator-mxnet/pull/10055 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of

[incubator-mxnet] branch master updated: [MXNET-102] Added tutorial on how to use data augmenters. (#10055)

This is an automated email from the ASF dual-hosted git repository. indhub pushed a commit to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/master by this push: new 4c803e9 [MXNET-102] Added tutorial on

[GitHub] indhub commented on issue #9909: mx.random.seed(seed) does not work for mx.io.ImageRecordIter() ?

indhub commented on issue #9909: mx.random.seed(seed) does not work for mx.io.ImageRecordIter() ? URL: https://github.com/apache/incubator-mxnet/issues/9909#issuecomment-379094742 Agree with @DickJC123. That behavior is natural to expect. I don't see documentation anywhere that suggests

[GitHub] indhub closed issue #9909: mx.random.seed(seed) does not work for mx.io.ImageRecordIter() ?

indhub closed issue #9909: mx.random.seed(seed) does not work for mx.io.ImageRecordIter() ? URL: https://github.com/apache/incubator-mxnet/issues/9909 This is an automated message from the Apache Git Service. To respond to

[GitHub] indhub commented on issue #9909: mx.random.seed(seed) does not work for mx.io.ImageRecordIter() ?

indhub commented on issue #9909: mx.random.seed(seed) does not work for mx.io.ImageRecordIter() ? URL: https://github.com/apache/incubator-mxnet/issues/9909#issuecomment-379094742 Agree with @DickJC123. That behavior is natural to expect. I don't see documentation anywhere that suggests

[GitHub] piiswrong commented on a change in pull request #10410: Fix output names of nn operators.

piiswrong commented on a change in pull request #10410: Fix output names of nn operators. URL: https://github.com/apache/incubator-mxnet/pull/10410#discussion_r179616875 ## File path: tests/python/unittest/test_operator.py ## @@ -5444,6 +5444,21 @@ def

[incubator-mxnet] branch master updated: Fix typos in random number docs (#10423)

This is an automated email from the ASF dual-hosted git repository. jxie pushed a commit to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/master by this push: new 2ae0bd5 Fix typos in random number docs

[GitHub] piiswrong closed pull request #10423: Fix typos in random number docs

piiswrong closed pull request #10423: Fix typos in random number docs URL: https://github.com/apache/incubator-mxnet/pull/10423 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign

[GitHub] piiswrong commented on a change in pull request #10424: Improved error message

piiswrong commented on a change in pull request #10424: Improved error message URL: https://github.com/apache/incubator-mxnet/pull/10424#discussion_r179616546 ## File path: python/mxnet/gluon/block.py ## @@ -458,7 +458,11 @@ def _build_cache(self, *args):

[GitHub] ankkhedia commented on issue #10424: Improved error message

ankkhedia commented on issue #10424: Improved error message URL: https://github.com/apache/incubator-mxnet/pull/10424#issuecomment-379093800 @piiswrong I have added error message for deferred inititialisation as mentioned by you in #9842 . Could you please review the changes

[GitHub] msurguy commented on issue #10230: libomp.so is missing in Docker builds for armv6

msurguy commented on issue #10230: libomp.so is missing in Docker builds for armv6 URL: https://github.com/apache/incubator-mxnet/issues/10230#issuecomment-379091324 @lebeg should I do this before I install the `.whl` file or is it ok to run it after?

[GitHub] rahul003 commented on issue #7073: Segfault when context = mx.gpu() Runs fine when context=mx.cpu()

rahul003 commented on issue #7073: Segfault when context = mx.gpu() Runs fine when context=mx.cpu() URL: https://github.com/apache/incubator-mxnet/issues/7073#issuecomment-379091106 @sandeep-krishnamurthy Please close this issue. I've verified that it doesn't segfault on master now.

[GitHub] ankkhedia commented on issue #9159: Symbol.bind() do not warn or error on dtype mismatch between Symbol and binding Data

ankkhedia commented on issue #9159: Symbol.bind() do not warn or error on dtype mismatch between Symbol and binding Data URL: https://github.com/apache/incubator-mxnet/issues/9159#issuecomment-379086870 a = mx.sym.Variable('a', dtype='int32') In the above code, though we have a

[GitHub] ankkhedia commented on issue #9159: Symbol.bind() do not warn or error on dtype mismatch between Symbol and binding Data

ankkhedia commented on issue #9159: Symbol.bind() do not warn or error on dtype mismatch between Symbol and binding Data URL: https://github.com/apache/incubator-mxnet/issues/9159#issuecomment-379086870 a = mx.sym.Variable('a', dtype='int32') In the above code, though we have

[GitHub] thomelane commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters.

thomelane commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters. URL: https://github.com/apache/incubator-mxnet/pull/10055#issuecomment-379077932 @marcoabreu are there Github/JIRA issue(s) for the individual tests that fail? or is there a general issue I can

[GitHub] marcoabreu commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters.

marcoabreu commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters. URL: https://github.com/apache/incubator-mxnet/pull/10055#issuecomment-379074299 Yeah sorry, our tests are quite flaky :/ This

[GitHub] gautamkmr commented on issue #9949: Mac build from source script validation fails

gautamkmr commented on issue #9949: Mac build from source script validation fails URL: https://github.com/apache/incubator-mxnet/issues/9949#issuecomment-379073305 By default all the mac os comes with either python2.7.14 or python3+. Probably we can change the release doc with a

[GitHub] ankkhedia opened a new pull request #10424: Improved error message

ankkhedia opened a new pull request #10424: Improved error message URL: https://github.com/apache/incubator-mxnet/pull/10424 ## Description ## Issue #9842 The error due to custom function shape inference failure on deferred initialization is not well reported. The PR improves

[GitHub] thomelane commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters.

thomelane commented on issue #10055: [MXNET-102] Added tutorial on how to use data augmenters. URL: https://github.com/apache/incubator-mxnet/pull/10055#issuecomment-379071105 @marcoabreu the build seems temperamental at the moment, got a successful build on the 4th attempt. My 1st

[GitHub] gautamkmr commented on issue #9949: Mac build from source script validation fails

gautamkmr commented on issue #9949: Mac build from source script validation fails URL: https://github.com/apache/incubator-mxnet/issues/9949#issuecomment-379070540 1. Verified that it works fine on 2.7.14 but not 2.7.10

[incubator-mxnet] branch master updated: [MXNET-248] Scala Infer API docs editorial pass (#10307)

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[GitHub] nswamy closed pull request #10307: [MXNET-248] Scala Infer API docs editorial pass

nswamy closed pull request #10307: [MXNET-248] Scala Infer API docs editorial pass URL: https://github.com/apache/incubator-mxnet/pull/10307 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As

[GitHub] haojin2 commented on a change in pull request #10371: [MXNET-263] [WIP] Support for dot(dns, csr) = dns and dot(dns, csr.T) = dns on GPU

haojin2 commented on a change in pull request #10371: [MXNET-263] [WIP] Support for dot(dns, csr) = dns and dot(dns, csr.T) = dns on GPU URL: https://github.com/apache/incubator-mxnet/pull/10371#discussion_r179593860 ## File path: src/operator/tensor/dot-inl.h ## @@

[GitHub] elabeca commented on issue #9087: MXNET 1.0.0 - marginal performance improvement Titan V (Volta) with half precision cuda 9.0 + cudnn 7.0.5

elabeca commented on issue #9087: MXNET 1.0.0 - marginal performance improvement Titan V (Volta) with half precision cuda 9.0 + cudnn 7.0.5 URL: https://github.com/apache/incubator-mxnet/issues/9087#issuecomment-379065646 Sorry @yangjunpro - I didn't get around in the end to do further

[GitHub] piiswrong commented on issue #10345: allow block setattr to reset the prefix when setting new block

piiswrong commented on issue #10345: allow block setattr to reset the prefix when setting new block URL: https://github.com/apache/incubator-mxnet/pull/10345#issuecomment-379060561 That should have been disabled. Unfortunately we forgot to do so in the beginning. Pytorch for example,

[GitHub] indhub closed pull request #10372: Adding CNN-character level example notebook

indhub closed pull request #10372: Adding CNN-character level example notebook URL: https://github.com/apache/incubator-mxnet/pull/10372 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is

[incubator-mxnet] branch master updated: Add CNN - character level to the examples list (#10372)

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[GitHub] eric-haibin-lin closed issue #10421: Flaky LeakyRelu Test

eric-haibin-lin closed issue #10421: Flaky LeakyRelu Test URL: https://github.com/apache/incubator-mxnet/issues/10421 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub

[GitHub] mli commented on issue #10391: [MXNET-139] Tutorial for mixed precision training with float16

mli commented on issue #10391: [MXNET-139] Tutorial for mixed precision training with float16 URL: https://github.com/apache/incubator-mxnet/pull/10391#issuecomment-379057925 I feel this tutorial is a little bit too complex to reader to follow. 1. show how to write a simple dense

[GitHub] eric-haibin-lin closed pull request #10208: [MXNET-117] Sparse operator broadcast_mul/div(csr, dense) = csr

eric-haibin-lin closed pull request #10208: [MXNET-117] Sparse operator broadcast_mul/div(csr, dense) = csr URL: https://github.com/apache/incubator-mxnet/pull/10208 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the

[incubator-mxnet] branch master updated: [MXNET-117] Sparse operator broadcast_mul/div(csr, dense) = csr (#10208)

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[GitHub] piiswrong closed pull request #10422: [MXNET-101] Fix flaky test_leaky_relu

piiswrong closed pull request #10422: [MXNET-101] Fix flaky test_leaky_relu URL: https://github.com/apache/incubator-mxnet/pull/10422 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a

[incubator-mxnet] branch master updated: loosen overly tight rtol to control flaky behavior (#10422)

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[incubator-mxnet] branch master updated: fix docstring for EvalMetric.update_dict (#10384)

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[GitHub] piiswrong closed pull request #10384: fix docstring for EvalMetric.update_dict

piiswrong closed pull request #10384: fix docstring for EvalMetric.update_dict URL: https://github.com/apache/incubator-mxnet/pull/10384 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is

[GitHub] piiswrong closed pull request #10413: [MXNET-160] Fix for issue 9062

piiswrong closed pull request #10413: [MXNET-160] Fix for issue 9062 URL: https://github.com/apache/incubator-mxnet/pull/10413 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign

[GitHub] reminisce commented on a change in pull request #10417: Error handling for non-positive reps of tile op

reminisce commented on a change in pull request #10417: Error handling for non-positive reps of tile op URL: https://github.com/apache/incubator-mxnet/pull/10417#discussion_r179559986 ## File path: tests/python/unittest/test_operator.py ## @@ -3521,14 +3521,6 @@ def

[incubator-mxnet] branch master updated: [MXNET-160] Fix for issue 9062 (#10413)

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[incubator-mxnet] branch master updated: Fix interval sampler (#10411)

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[GitHub] piiswrong closed pull request #10411: Fix interval sampler

piiswrong closed pull request #10411: Fix interval sampler URL: https://github.com/apache/incubator-mxnet/pull/10411 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull

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