[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283641784 ## File path: src/operator/tensor/elemwise_unary_op.h

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283641784 ## File path: src/operator/tensor/elemwise_unary_op.h

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283641784 ## File path: src/operator/tensor/elemwise_unary_op.h

[GitHub] [incubator-mxnet] pengzhao-intel commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

pengzhao-intel commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283630976 ## File path: src/operator/mkl_functions-in

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283627743 ## File path: src/operator/mkl_functions-inl.h #

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283622711 ## File path: src/operator/mkl_functions-inl.h #

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283622288 ## File path: src/operator/mkl_functions-inl.h #

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283622236 ## File path: src/operator/mkl_functions-inl.h #

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283622236 ## File path: src/operator/mkl_functions-inl.h #

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

TaoLv commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283622074 ## File path: src/operator/mkl_functions-inl.h #

[GitHub] [incubator-mxnet] eric-haibin-lin commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation

eric-haibin-lin commented on a change in pull request #14893: Integrating the MKL VML functions to MXNET to speed-up the (element-wised) mathematic computation URL: https://github.com/apache/incubator-mxnet/pull/14893#discussion_r283621345 ## File path: src/operator/tensor/elemwise

[incubator-mxnet] annotated tag 1.4.1.rc0 deleted (was 4b3ff63)

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svn commit: r34027 - /dev/incubator/mxnet/1.4.1/ /release/incubator/mxnet/1.4.1/

Author: zhasheng Date: Tue May 14 04:11:57 2019 New Revision: 34027 Log: 1.4.1 release moving from dev to release repo Added: release/incubator/mxnet/1.4.1/ - copied from r34026, dev/incubator/mxnet/1.4.1/ Removed: dev/incubator/mxnet/1.4.1/

svn commit: r34026 - in /dev/incubator/mxnet: 1.4.1.rc0/ 1.4.1/ 1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz 1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz.asc 1.4.1/apache-mxnet-src-1.4.1-incubatin

Author: zhasheng Date: Tue May 14 04:10:52 2019 New Revision: 34026 Log: release mxnet-1.4.0 Added: dev/incubator/mxnet/1.4.1/ dev/incubator/mxnet/1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz (with props) dev/incubator/mxnet/1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz.asc

[incubator-mxnet] annotated tag 1.4.1 updated (1a71996 -> 04b659f)

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[GitHub] [incubator-mxnet] achalddave commented on issue #10174: Install v0.10.0 errors

achalddave commented on issue #10174: Install v0.10.0 errors URL: https://github.com/apache/incubator-mxnet/issues/10174#issuecomment-492064928 For what it's worth, I was able to fix this by following the instructions here: https://gist.github.com/myusuf3/7f645819ded92bda6677 (replicated b

[GitHub] [incubator-mxnet] xiaodao2049 opened a new issue #14941: convolution layer when cudnn_off = False will cause random result

xiaodao2049 opened a new issue #14941: convolution layer when cudnn_off = False will cause random result URL: https://github.com/apache/incubator-mxnet/issues/14941 Hi,every one, I'm training a net in which some layers are convolution layer, and I set a random seed, but when the

[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #14941: convolution layer when cudnn_off = False will cause random result

mxnet-label-bot commented on issue #14941: convolution layer when cudnn_off = False will cause random result URL: https://github.com/apache/incubator-mxnet/issues/14941#issuecomment-492059886 Hey, this is the MXNet Label Bot. Thank you for submitting the issue! I will try and suggest

[GitHub] [incubator-mxnet] TaoLv commented on issue #14891: [Doc] Add MKL-DNN operator list

TaoLv commented on issue #14891: [Doc] Add MKL-DNN operator list URL: https://github.com/apache/incubator-mxnet/pull/14891#issuecomment-492051777 @aaronmarkham @ciyongch @pengzhao-intel please take another look - I added some description about how the subgraph backend variable is used and a

[GitHub] [incubator-mxnet] pengzhao-intel commented on issue #14931: Re-enable static cached_op optimization

pengzhao-intel commented on issue #14931: Re-enable static cached_op optimization URL: https://github.com/apache/incubator-mxnet/pull/14931#issuecomment-492051027 Will merge this PR at the end of today if there is no further comment.

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

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[GitHub] [incubator-mxnet] yljylj commented on issue #14904: libmxnet.so from pypi mxnet-mkl==1.4.0, segmentation fault 11

yljylj commented on issue #14904: libmxnet.so from pypi mxnet-mkl==1.4.0,segmentation fault 11 URL: https://github.com/apache/incubator-mxnet/issues/14904#issuecomment-492042820 Could you please provide the JNI code? You can send a mail to me [lujia@intel.com](url). -

[GitHub] [incubator-mxnet] pengzhao-intel edited a comment on issue #14619: [Discussion] 1.5.0 Roadmap

pengzhao-intel edited a comment on issue #14619: [Discussion] 1.5.0 Roadmap URL: https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480110642 MKLDNN Quantization PR Name | PR# | status -- | -- | -- sum | #14614 | DONE relu | #14604 | DONE refactor req

[GitHub] [incubator-mxnet] larroy commented on issue #14896: Add STL checks via -D_GLIBCXX_ASSERTIONS in debug mode

larroy commented on issue #14896: Add STL checks via -D_GLIBCXX_ASSERTIONS in debug mode URL: https://github.com/apache/incubator-mxnet/pull/14896#issuecomment-492037243 @mxnet-label-bot add [pr-awaiting-review] This is an au

[GitHub] [incubator-mxnet] larroy opened a new pull request #14940: Fix warnings and improve inline abuse

larroy opened a new pull request #14940: Fix warnings and improve inline abuse URL: https://github.com/apache/incubator-mxnet/pull/14940 ## Description ## Fix warnings and move exec_utils implementation of functions to implementation file. ## Checklist ## ### Essentials ###

[incubator-mxnet] branch master updated (f67d067 -> 13d6ee6)

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[GitHub] [incubator-mxnet] pengzhao-intel commented on issue #14903: Fix reshape to add in-place back

pengzhao-intel commented on issue #14903: Fix reshape to add in-place back URL: https://github.com/apache/incubator-mxnet/pull/14903#issuecomment-492033111 The PR is verified internally with performance and accuracy. Merging now. Thanks for your contribution. ---

[GitHub] [incubator-mxnet] pengzhao-intel merged pull request #14903: Fix reshape to add in-place back

pengzhao-intel merged pull request #14903: Fix reshape to add in-place back URL: https://github.com/apache/incubator-mxnet/pull/14903 This is an automated message from the Apache Git Service. To respond to the message, please

[GitHub] [incubator-mxnet] reminisce commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

reminisce commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283573536 ## File path: src/operator/contrib/index_array-inl.h ## @@ -0,0 +1,110 @@ +/* + * Licensed to t

[GitHub] [incubator-mxnet] stu1130 closed pull request #14921: [DO NOT MERGE] Bump up the cuDNN version

stu1130 closed pull request #14921: [DO NOT MERGE] Bump up the cuDNN version URL: https://github.com/apache/incubator-mxnet/pull/14921 This is an automated message from the Apache Git Service. To respond to the message, pleas

[GitHub] [incubator-mxnet] nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283554609 ## File path: tests/python/unittest/test_operator.py ## @@ -8054,6 +8054,68 @@ def test_ima

[GitHub] [incubator-mxnet] nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283552135 ## File path: src/operator/contrib/index_array.cc ## @@ -0,0 +1,171 @@ +/* + * Licensed to

[GitHub] [incubator-mxnet] nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283551831 ## File path: src/operator/contrib/index_array.cc ## @@ -0,0 +1,171 @@ +/* + * Licensed to

[GitHub] [incubator-mxnet] nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283553113 ## File path: tests/python/gpu/test_operator_gpu.py ## @@ -2130,6 +2130,68 @@ def test_bili

[GitHub] [incubator-mxnet] nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283554343 ## File path: tests/python/unittest/test_operator.py ## @@ -8054,6 +8054,68 @@ def test_ima

[GitHub] [incubator-mxnet] nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283551435 ## File path: src/operator/contrib/index_array.cc ## @@ -0,0 +1,171 @@ +/* + * Licensed to

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

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[GitHub] [incubator-mxnet] vdantu removed a comment on issue #14938: Performance issue when use_bias=True

vdantu removed a comment on issue #14938: Performance issue when use_bias=True URL: https://github.com/apache/incubator-mxnet/issues/14938#issuecomment-491982752 @mxnet-label-bot add [question, gluon] This is an automated mes

[GitHub] [incubator-mxnet] vdantu edited a comment on issue #14938: Performance issue when use_bias=True

vdantu edited a comment on issue #14938: Performance issue when use_bias=True URL: https://github.com/apache/incubator-mxnet/issues/14938#issuecomment-491982752 @mxnet-label-bot add [question, gluon] This is an automated mess

[GitHub] [incubator-mxnet] vdantu commented on issue #14938: Performance issue when use_bias=True

vdantu commented on issue #14938: Performance issue when use_bias=True URL: https://github.com/apache/incubator-mxnet/issues/14938#issuecomment-491983692 @mxnet-label-bot update [question] This is an automated message from th

[GitHub] [incubator-mxnet] vdantu edited a comment on issue #14938: Performance issue when use_bias=True

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[GitHub] [incubator-mxnet] vdantu edited a comment on issue #14938: Performance issue when use_bias=True

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[GitHub] [incubator-mxnet] vdantu commented on issue #14938: Performance issue when use_bias=True

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[GitHub] [incubator-mxnet] jschmitz28 closed issue #14939: MXNet silently produces bad results (all zeroes) when allocating NDArray larger than 2^32 in size via random_normal

jschmitz28 closed issue #14939: MXNet silently produces bad results (all zeroes) when allocating NDArray larger than 2^32 in size via random_normal URL: https://github.com/apache/incubator-mxnet/issues/14939 This is an autom

[GitHub] [incubator-mxnet] jschmitz28 commented on issue #14939: MXNet silently produces bad results (all zeroes) when allocating NDArray larger than 2^32 in size via random_normal

jschmitz28 commented on issue #14939: MXNet silently produces bad results (all zeroes) when allocating NDArray larger than 2^32 in size via random_normal URL: https://github.com/apache/incubator-mxnet/issues/14939#issuecomment-491981937 Looks like a dupe of https://github.com/apache/incuba

[GitHub] [incubator-mxnet] nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

nickguletskii commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283529176 ## File path: src/operator/contrib/index_array-inl.h ## @@ -0,0 +1,110 @@ +/* + * Licensed

[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #14939: MXNet silently produces bad results (all zeroes) when allocating NDArray larger than 2^32 in size via random_normal

mxnet-label-bot commented on issue #14939: MXNet silently produces bad results (all zeroes) when allocating NDArray larger than 2^32 in size via random_normal URL: https://github.com/apache/incubator-mxnet/issues/14939#issuecomment-491965425 Hey, this is the MXNet Label Bot. Thank you

[GitHub] [incubator-mxnet] jschmitz28 opened a new issue #14939: MXNet silently produces bad results (all zeroes) when allocating NDArray larger than 2^32 in size via random_normal

jschmitz28 opened a new issue #14939: MXNet silently produces bad results (all zeroes) when allocating NDArray larger than 2^32 in size via random_normal URL: https://github.com/apache/incubator-mxnet/issues/14939 ## Description MXNet silently produces bad results (all zeroes) when alloc

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

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[GitHub] [incubator-mxnet] szha commented on issue #14937: Build failed on 1.4.1-rc0 with no openCV

szha commented on issue #14937: Build failed on 1.4.1-rc0 with no openCV URL: https://github.com/apache/incubator-mxnet/issues/14937#issuecomment-491924075 @mjwall agreed that it shouldn't be like that. In general we are moving towards cmake which should be able to fail fast in this case,

[GitHub] [incubator-mxnet] vandanavk edited a comment on issue #14875: MXNet to ONNX export bug

vandanavk edited a comment on issue #14875: MXNet to ONNX export bug URL: https://github.com/apache/incubator-mxnet/issues/14875#issuecomment-491915490 @mxnet-label-bot add [Bug] @ehsanmok I'm looking into this, could you share your script? --

[GitHub] [incubator-mxnet] reminisce commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator

reminisce commented on a change in pull request #14638: [MXNET-1382] Add the index_array operator URL: https://github.com/apache/incubator-mxnet/pull/14638#discussion_r283196391 ## File path: src/operator/contrib/index_array.cc ## @@ -0,0 +1,171 @@ +/* + * Licensed to the

[GitHub] [incubator-mxnet] vandanavk commented on issue #14875: MXNet to ONNX export bug

vandanavk commented on issue #14875: MXNet to ONNX export bug URL: https://github.com/apache/incubator-mxnet/issues/14875#issuecomment-491915490 @mxnet-label-bot add [Bug] @ehsanmok I'm looking into this This is an aut

[GitHub] [incubator-mxnet] NRauschmayr commented on issue #14938: Performance issue when use_bias=True

NRauschmayr commented on issue #14938: Performance issue when use_bias=True URL: https://github.com/apache/incubator-mxnet/issues/14938#issuecomment-491915321 Thanks for your reply. Yes `Linear` does not have `flatten` nor `activation`. However, the model itself performs the same sequence

[GitHub] [incubator-mxnet] vandanavk commented on issue #14345: Output inconsistency between mxnet model and converted onnx model

vandanavk commented on issue #14345: Output inconsistency between mxnet model and converted onnx model URL: https://github.com/apache/incubator-mxnet/issues/14345#issuecomment-491912556 @mxnet-label-bot add [Pending Requester Info] -

[GitHub] [incubator-mxnet] chinakook commented on issue #14938: Performance issue when use_bias=True

chinakook commented on issue #14938: Performance issue when use_bias=True URL: https://github.com/apache/incubator-mxnet/issues/14938#issuecomment-491838008 The torch.nn.Linear layer does not have ```flatten``` and ```activation``` argument, please check again to be sure your MXNet impleme

[GitHub] [incubator-mxnet] mjwall commented on issue #14937: Build failed on 1.4.1-rc0 with no openCV

mjwall commented on issue #14937: Build failed on 1.4.1-rc0 with no openCV URL: https://github.com/apache/incubator-mxnet/issues/14937#issuecomment-491837193 > https://mxnet.apache.org/versions/master/install/build_from_source.html#build-configurations Thanks @szha, since OpenCV is

[GitHub] [incubator-mxnet] jens-maus commented on issue #5296: KVStore error with certain optimizer settings - R-package

jens-maus commented on issue #5296: KVStore error with certain optimizer settings - R-package URL: https://github.com/apache/incubator-mxnet/issues/5296#issuecomment-491798252 @jeremiedb I just encountered the same issue here with using the R package and multiple GPU training: The trainin

[GitHub] [incubator-mxnet] lebeg commented on issue #14877: Fix the incorrect MKLDNN/MKL logic in cmake

lebeg commented on issue #14877: Fix the incorrect MKLDNN/MKL logic in cmake URL: https://github.com/apache/incubator-mxnet/pull/14877#issuecomment-491795864 I've updated the scripts for AMI creation, but currently we have a blocker on @Chancebair side. Once he deploys the new AMI's MKL sh

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

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[GitHub] [incubator-mxnet] William-jia commented on issue #14904: libmxnet.so from pypi mxnet-mkl==1.4.0, segmentation fault 11

William-jia commented on issue #14904: libmxnet.so from pypi mxnet-mkl==1.4.0,segmentation fault 11 URL: https://github.com/apache/incubator-mxnet/issues/14904#issuecomment-491725000 > t line and dataset is used? Is your case from the M use c_predict_api deploy with libmxnet.so, pac