[incubator-mxnet] branch master updated: fix warnings from np.fromstring (#10493)

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 dbe5c14 fix warnings from np.fromstring

[GitHub] piiswrong closed pull request #10493: fix warnings from np.fromstring

piiswrong closed pull request #10493: fix warnings from np.fromstring URL: https://github.com/apache/incubator-mxnet/pull/10493 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] pengzhao-intel commented on issue #9744: Performance regression when OMP_NUM_THREADS environment variable is not set

pengzhao-intel commented on issue #9744: Performance regression when OMP_NUM_THREADS environment variable is not set URL: https://github.com/apache/incubator-mxnet/issues/9744#issuecomment-380327239 @cjolivier01 how about the progress of KMP setting? We prefer this can be merged into

[GitHub] anirudh2290 commented on issue #10474: [MXNET-298] Scala Infer API docs landing page

anirudh2290 commented on issue #10474: [MXNET-298] Scala Infer API docs landing page URL: https://github.com/apache/incubator-mxnet/pull/10474#issuecomment-380325677 @aaronmarkham seems like the build failed on a flaky test. can you please re-trigger ?

[GitHub] anirudh2290 commented on issue #10183: [MXNET-120] Float16 support for distributed training

anirudh2290 commented on issue #10183: [MXNET-120] Float16 support for distributed training URL: https://github.com/apache/incubator-mxnet/pull/10183#issuecomment-380325451 @piiswrong can this be merged ? This is an

[GitHub] eric-haibin-lin opened a new issue #10500: [FEATURE REQUEST] trace operator

eric-haibin-lin opened a new issue #10500: [FEATURE REQUEST] trace operator URL: https://github.com/apache/incubator-mxnet/issues/10500 MXNet doesn't have an operator that calculates the trace of a matrix: https://docs.scipy.org/doc/numpy/reference/generated/numpy.trace.html

[GitHub] zhreshold commented on issue #10483: SSD performance optimization and benchmark script

zhreshold commented on issue #10483: SSD performance optimization and benchmark script URL: https://github.com/apache/incubator-mxnet/pull/10483#issuecomment-380322664 @pengzhao-intel You can find pre-trained models here: https://github.com/zhreshold/mxnet-ssd#map

[GitHub] pengzhao-intel commented on issue #10483: SSD performance optimization and benchmark script

pengzhao-intel commented on issue #10483: SSD performance optimization and benchmark script URL: https://github.com/apache/incubator-mxnet/pull/10483#issuecomment-380321718 @zhreshold @kevinthesun @piiswrong where we can get the pre-trained SSD data?

[GitHub] anirudh2290 opened a new pull request #10499: Add auto generated files in perl-package to rat excludes

anirudh2290 opened a new pull request #10499: Add auto generated files in perl-package to rat excludes URL: https://github.com/apache/incubator-mxnet/pull/10499 ## Description ## Adds auto generated files in perl-package to rat excludes. Please see: #10497 ## Checklist ##

[GitHub] anirudh2290 commented on issue #10497: MXNET-308 [Perl] added missing license

anirudh2290 commented on issue #10497: MXNET-308 [Perl] added missing license URL: https://github.com/apache/incubator-mxnet/pull/10497#issuecomment-380319403 @mbaijal sounds like the only option we have right now is to add the names Changes, Manifest and META.yml to .rat-excludes and hope

[GitHub] arrowrowe commented on issue #10455: Bug of group2ctxs for model parallelism

arrowrowe commented on issue #10455: Bug of group2ctxs for model parallelism URL: https://github.com/apache/incubator-mxnet/issues/10455#issuecomment-380319322 @eric-haibin-lin yes, same for all 8 gpus cases, same for all <8 gpu cases. ``` --group2ctxs 0 --num_gpus 1 loss:

[GitHub] oscarbg commented on issue #10456: WinML or DirectML support planned?

oscarbg commented on issue #10456: WinML or DirectML support planned? URL: https://github.com/apache/incubator-mxnet/issues/10456#issuecomment-380319273 just a note I'm asking about Win32 classic API part of WinML (not the UWP Net & C#) WinML is a Win32 API as shown in Windows insider

[GitHub] ThomasDelteil opened a new issue #10498: Create base images for CI

ThomasDelteil opened a new issue #10498: Create base images for CI URL: https://github.com/apache/incubator-mxnet/issues/10498 @marcoabreu It would be nice if the CI base images were stored on dockerhub. So that reproducing locally would be a simple pull and then the code being

[GitHub] mbaijal commented on a change in pull request #10390: Initial PR for RAT License Check

mbaijal commented on a change in pull request #10390: Initial PR for RAT License Check URL: https://github.com/apache/incubator-mxnet/pull/10390#discussion_r180626838 ## File path: tests/nightly/apache_rat_license_check/.rat-excludes ## @@ -0,0 +1,54 @@ +.*xml +\..*

[GitHub] mbaijal commented on issue #10497: MXNET-308 [Perl] added missing license

mbaijal commented on issue #10497: MXNET-308 [Perl] added missing license URL: https://github.com/apache/incubator-mxnet/pull/10497#issuecomment-380315354 @sergeykolychev Sergey, Thanks for updating the licenses. you just need to add the names of the file to the .rat-excludes file

[GitHub] cjolivier01 commented on issue #10005: Where should I put my dll after building from source?

cjolivier01 commented on issue #10005: Where should I put my dll after building from source? URL: https://github.com/apache/incubator-mxnet/issues/10005#issuecomment-380311058 run depends: http://www.dependencywalker.com it should show you exactly which dependency is missing.

[GitHub] zheng-da commented on issue #4471: Lack of control flow operators: functionally inferior to Tensorflow and Theano

zheng-da commented on issue #4471: Lack of control flow operators: functionally inferior to Tensorflow and Theano URL: https://github.com/apache/incubator-mxnet/issues/4471#issuecomment-380310103 We are trying to add control flow operators.

[GitHub] ThomasDelteil commented on issue #10387: Flaky test(scala): test_arange

ThomasDelteil commented on issue #10387: Flaky test(scala): test_arange URL: https://github.com/apache/incubator-mxnet/issues/10387#issuecomment-380299852 Happened to me too: http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-10495/1/pipeline/597

[GitHub] TaoLv commented on a change in pull request #10483: SSD performance optimization and benchmark script

TaoLv commented on a change in pull request #10483: SSD performance optimization and benchmark script URL: https://github.com/apache/incubator-mxnet/pull/10483#discussion_r180612622 ## File path: example/ssd/benchmark_score.py ## @@ -0,0 +1,102 @@ +# Licensed to the

[GitHub] TaoLv commented on a change in pull request #10483: SSD performance optimization and benchmark script

TaoLv commented on a change in pull request #10483: SSD performance optimization and benchmark script URL: https://github.com/apache/incubator-mxnet/pull/10483#discussion_r180612393 ## File path: src/operator/contrib/multibox_detection.cc ## @@ -112,20 +117,33 @@ inline

[GitHub] TaoLv commented on a change in pull request #10483: SSD performance optimization and benchmark script

TaoLv commented on a change in pull request #10483: SSD performance optimization and benchmark script URL: https://github.com/apache/incubator-mxnet/pull/10483#discussion_r180612382 ## File path: example/ssd/benchmark_score.py ## @@ -0,0 +1,102 @@ +# Licensed to the

[GitHub] xinyu-intel commented on issue #10005: Where should I put my dll after building from source?

xinyu-intel commented on issue #10005: Where should I put my dll after building from source? URL: https://github.com/apache/incubator-mxnet/issues/10005#issuecomment-380295584 @marcoabreu @cjolivier01 I follow the

[incubator-mxnet] branch master updated: update imagenet training script links (#10478)

This is an automated email from the ASF dual-hosted git repository. zhasheng 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 65ff207 update imagenet training

[GitHub] szha closed pull request #10478: update imagenet training script links

szha closed pull request #10478: update imagenet training script links URL: https://github.com/apache/incubator-mxnet/pull/10478 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

[GitHub] zhanghang1989 commented on issue #10470: CUDNN not training on backward pass similar to pytorch

zhanghang1989 commented on issue #10470: CUDNN not training on backward pass similar to pytorch URL: https://github.com/apache/incubator-mxnet/pull/10470#issuecomment-380294417 I refer to the situation when `ctx.is_train==false` as "evaluation mode".

[GitHub] cjolivier01 commented on issue #10470: CUDNN not training on backward pass similar to pytorch

cjolivier01 commented on issue #10470: CUDNN not training on backward pass similar to pytorch URL: https://github.com/apache/incubator-mxnet/pull/10470#issuecomment-380293892 I am not familiar with what the expectation is for “evaluation mode”. I haven’t heard this term before.

[GitHub] zhanghang1989 commented on issue #10470: CUDNN not training on backward pass similar to pytorch

zhanghang1989 commented on issue #10470: CUDNN not training on backward pass similar to pytorch URL: https://github.com/apache/incubator-mxnet/pull/10470#issuecomment-380291922 Is CUDNN supporting evaluation mode now? This

[GitHub] sergeykolychev commented on issue #10497: MXNET-308 [Perl] added missing license

sergeykolychev commented on issue #10497: MXNET-308 [Perl] added missing license URL: https://github.com/apache/incubator-mxnet/pull/10497#issuecomment-380288805 @eric-haibin-lin @mbaijal @anirudh2290 I've added missing license to four files from the list. Other 9 are Changes,

[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-380288366 @piiswrong I have removed redundant messages as discussed This is an automated

[GitHub] hetong007 closed pull request #10446: [MXNET-173]fix acc metric shape miss match

hetong007 closed pull request #10446: [MXNET-173]fix acc metric shape miss match URL: https://github.com/apache/incubator-mxnet/pull/10446 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

[incubator-mxnet] branch master updated: [MXNET-173]fix acc metric shape miss match (#10446)

This is an automated email from the ASF dual-hosted git repository. the 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 e42f7e0 [MXNET-173]fix acc metric shape

[GitHub] aaronmarkham closed issue #9532: image prediction tutorial is broken

aaronmarkham closed issue #9532: image prediction tutorial is broken URL: https://github.com/apache/incubator-mxnet/issues/9532 This is an automated message from the Apache Git Service. To respond to the message, please log

[GitHub] sergeykolychev opened a new pull request #10497: MXNET-308 [Perl] added missing license

sergeykolychev opened a new pull request #10497: MXNET-308 [Perl] added missing license URL: https://github.com/apache/incubator-mxnet/pull/10497 ## Description ## (Brief description on what this PR is about) ## Checklist ## ### Essentials ### Please feel free to remove

[GitHub] cclauss opened a new pull request #10496: Minor simplifications in ci/build.py

cclauss opened a new pull request #10496: Minor simplifications in ci/build.py URL: https://github.com/apache/incubator-mxnet/pull/10496 ## Description ## (Brief description on what this PR is about) Minor cleanups in ci/build.py to improve readability. ## Checklist ##

[GitHub] ThomasDelteil opened a new pull request #10495: [MXNET-307] Add tutorials to the CI + Fix them

ThomasDelteil opened a new pull request #10495: [MXNET-307] Add tutorials to the CI + Fix them URL: https://github.com/apache/incubator-mxnet/pull/10495 ## Description ## Add all available .ipynb tutorials to the CI Some needed fixing, they are fixed now. Currently runs

[GitHub] rahul003 commented on issue #10391: [MXNET-139] Tutorial for mixed precision training with float16

rahul003 commented on issue #10391: [MXNET-139] Tutorial for mixed precision training with float16 URL: https://github.com/apache/incubator-mxnet/pull/10391#issuecomment-380286230 Thanks guys for your comments. I'll address them soon and update the PR

[GitHub] anirudh2290 commented on issue #10486: Remove Fermi from cmake

anirudh2290 commented on issue #10486: Remove Fermi from cmake URL: https://github.com/apache/incubator-mxnet/pull/10486#issuecomment-380285884 @piiswrong @marcoabreu can we merge this ? This is an automated message from the

[GitHub] rahul003 commented on issue #9611: program can't finished normally in dist_sync mode

rahul003 commented on issue #9611: program can't finished normally in dist_sync mode URL: https://github.com/apache/incubator-mxnet/issues/9611#issuecomment-380285012 Hello, request you all to look at the above PR as an example on how we can avoid this hang

[GitHub] rahul003 commented on issue #9611: program can't finished normally in dist_sync mode

rahul003 commented on issue #9611: program can't finished normally in dist_sync mode URL: https://github.com/apache/incubator-mxnet/issues/9611#issuecomment-380285012 Hello, request you to look at the above PR as an example on how we can avoid this hang

[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-380282372 @piiswrong As discussed with you, I updated my PR to append message for the exact parameter(obtained from captured warnings) for which shape

[GitHub] yifeim opened a new issue #10494: stop_gradient fails under adam and wd

yifeim opened a new issue #10494: stop_gradient fails under adam and wd URL: https://github.com/apache/incubator-mxnet/issues/10494 ## Description mx.sym.stop_gradient fails to protect the parameters when using adam optimizer with wd>0. It works otherwise (with sgd or wd=0). ##

[GitHub] anirudh2290 commented on a change in pull request #10415: [MXNET-284] (WIP) Update release version text to 1.2.0

anirudh2290 commented on a change in pull request #10415: [MXNET-284] (WIP) Update release version text to 1.2.0 URL: https://github.com/apache/incubator-mxnet/pull/10415#discussion_r180598929 ## File path: docs/_static/mxnet-theme/index.html ## @@ -21,21 +21,21 @@

[GitHub] anirudh2290 commented on a change in pull request #10415: [MXNET-284] (WIP) Update release version text to 1.2.0

anirudh2290 commented on a change in pull request #10415: [MXNET-284] (WIP) Update release version text to 1.2.0 URL: https://github.com/apache/incubator-mxnet/pull/10415#discussion_r180598929 ## File path: docs/_static/mxnet-theme/index.html ## @@ -21,21 +21,21 @@

[GitHub] aaronmarkham commented on a change in pull request #10485: [MXNET-304][RFC] Jenkins docs build

aaronmarkham commented on a change in pull request #10485: [MXNET-304][RFC] Jenkins docs build URL: https://github.com/apache/incubator-mxnet/pull/10485#discussion_r180598363 ## File path: ci/docker/install/ubuntu_docs.sh ## @@ -21,8 +21,44 @@ # the whole docker cache

[GitHub] aaronmarkham commented on a change in pull request #10485: [MXNET-304][RFC] Jenkins docs build

aaronmarkham commented on a change in pull request #10485: [MXNET-304][RFC] Jenkins docs build URL: https://github.com/apache/incubator-mxnet/pull/10485#discussion_r180596822 ## File path: ci/docker/install/ubuntu_docs.sh ## @@ -21,8 +21,44 @@ # the whole docker cache

[GitHub] szha opened a new pull request #10493: fix warnings from np.fromstring

szha opened a new pull request #10493: fix warnings from np.fromstring URL: https://github.com/apache/incubator-mxnet/pull/10493 ## Description ## fix warnings from np.fromstring, reported in https://discuss.gluon.ai/t/topic/5755 ## Checklist ## ### Essentials ### Please

[GitHub] eric-haibin-lin closed pull request #10390: Initial PR for RAT License Check

eric-haibin-lin closed pull request #10390: Initial PR for RAT License Check URL: https://github.com/apache/incubator-mxnet/pull/10390 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: Initial PR for RAT License Check (#10390)

This is an automated email from the ASF dual-hosted git repository. haibin 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 c4258a5 Initial PR for RAT License

[GitHub] eric-haibin-lin commented on issue #10390: Initial PR for RAT License Check

eric-haibin-lin commented on issue #10390: Initial PR for RAT License Check URL: https://github.com/apache/incubator-mxnet/pull/10390#issuecomment-380278847 I'm going to merge this for now. @sergeykolychev please update the perl license when you get time. I appreciate it.

[GitHub] anirudh2290 commented on a change in pull request #10390: Initial PR for RAT License Check

anirudh2290 commented on a change in pull request #10390: Initial PR for RAT License Check URL: https://github.com/apache/incubator-mxnet/pull/10390#discussion_r180595967 ## File path: tests/nightly/apache_rat_license_check/.rat-excludes ## @@ -0,0 +1,54 @@ +.*xml +\..*

[GitHub] anirudh2290 commented on a change in pull request #10390: Initial PR for RAT License Check

anirudh2290 commented on a change in pull request #10390: Initial PR for RAT License Check URL: https://github.com/apache/incubator-mxnet/pull/10390#discussion_r180595967 ## File path: tests/nightly/apache_rat_license_check/.rat-excludes ## @@ -0,0 +1,54 @@ +.*xml +\..*

[GitHub] cclauss commented on issue #10490: Python: Resolve some of the undefined names

cclauss commented on issue #10490: Python: Resolve some of the undefined names URL: https://github.com/apache/incubator-mxnet/pull/10490#issuecomment-380277715 $ __flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics__ In Travis CI would be a nice step

[GitHub] ThomasDelteil opened a new issue #10492: Logging level for C++ lib

ThomasDelteil opened a new issue #10492: Logging level for C++ lib URL: https://github.com/apache/incubator-mxnet/issues/10492 How can I set the logging level of the C++ code lower? I would like to not see: ``` src/operator/././../common/utils.h:416: Optimizer with lazy_update =

[GitHub] marcoabreu commented on issue #10490: Python: Resolve some of the undefined names

marcoabreu commented on issue #10490: Python: Resolve some of the undefined names URL: https://github.com/apache/incubator-mxnet/pull/10490#issuecomment-380275647 Thanks a lot for fixing the examples! Committers, I think we definitely need to require tests for all examples since

[GitHub] zhreshold opened a new pull request #10491: [MXNET-306] Add slice_like operator

zhreshold opened a new pull request #10491: [MXNET-306] Add slice_like operator URL: https://github.com/apache/incubator-mxnet/pull/10491 ## Description ## slice_like operator used to crop a certain region inferred from second input. ``` Example:: x = [[ 1., 2., 3.,

[GitHub] cclauss opened a new pull request #10490: Python: Resolve some of the undefined names

cclauss opened a new pull request #10490: Python: Resolve some of the undefined names URL: https://github.com/apache/incubator-mxnet/pull/10490 ## Description ## (Brief description on what this PR is about) * Partial fix to the undefined names discussed in #8270 * When imports

[GitHub] David-Levinthal opened a new issue #10489: profiling Sockeye does not produce valid json file: missing final characters

David-Levinthal opened a new issue #10489: profiling Sockeye does not produce valid json file: missing final characters URL: https://github.com/apache/incubator-mxnet/issues/10489 building mxnet from source for profiling and adding code to the training.py code to profile 50 batches of the

[GitHub] aaronmarkham opened a new pull request #10488: Scala setup

aaronmarkham opened a new pull request #10488: Scala setup URL: https://github.com/apache/incubator-mxnet/pull/10488 ## Description ## Fixes a table in the scala intellij tutorial. This is an automated message from the

[GitHub] mli commented on issue #10292: [MXNET-243] Allow custom merger in KVStore

mli commented on issue #10292: [MXNET-243] Allow custom merger in KVStore URL: https://github.com/apache/incubator-mxnet/pull/10292#issuecomment-380270451 @eric-haibin-lin can you please do a code review? This is an automated

[GitHub] sandeep-krishnamurthy commented on issue #8219: Broadcasting ops are slow

sandeep-krishnamurthy commented on issue #8219: Broadcasting ops are slow URL: https://github.com/apache/incubator-mxnet/issues/8219#issuecomment-380269179 * mx.sym.broadcast_add is used in Keras-MXNet project -

[GitHub] piiswrong closed pull request #10317: [MXNET-264] Improve performance of MKLDNN in small batch sizes.

piiswrong closed pull request #10317: [MXNET-264] Improve performance of MKLDNN in small batch sizes. URL: https://github.com/apache/incubator-mxnet/pull/10317 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-264] Improve performance of MKLDNN in small batch sizes. (#10317)

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 5f94c9a [MXNET-264] Improve performance

[GitHub] lanking520 commented on issue #7771: Error when loading JSON network definition with c++ api

lanking520 commented on issue #7771: Error when loading JSON network definition with c++ api URL: https://github.com/apache/incubator-mxnet/issues/7771#issuecomment-380257815 @nswamy please add Bug, C++ to this topic This

[GitHub] marcoabreu commented on issue #10354: Expose the number of GPUs.

marcoabreu commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-380253789 I think we can't use assertRaises because we don't have CPU-only tests (besides the MKL ones) as of now. Instead, we'd have to go with a try

[GitHub] aaronmarkham commented on a change in pull request #10474: [MXNET-298] Scala Infer API docs landing page

aaronmarkham commented on a change in pull request #10474: [MXNET-298] Scala Infer API docs landing page URL: https://github.com/apache/incubator-mxnet/pull/10474#discussion_r180574146 ## File path: docs/api/scala/infer.md ## @@ -0,0 +1,39 @@ +# Infer API +The MXNet Scala

[incubator-mxnet] branch master updated: [MXNET-250] CSS and .htaccess fix (#10286)

This is an automated email from the ASF dual-hosted git repository. haibin 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 6db9dd4 [MXNET-250] CSS and .htaccess

[GitHub] eric-haibin-lin closed pull request #10286: [MXNET-250] CSS and .htaccess fix

eric-haibin-lin closed pull request #10286: [MXNET-250] CSS and .htaccess fix URL: https://github.com/apache/incubator-mxnet/pull/10286 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

[GitHub] anirudh2290 commented on a change in pull request #10354: Expose the number of GPUs.

anirudh2290 commented on a change in pull request #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#discussion_r180568314 ## File path: python/mxnet/context.py ## @@ -212,6 +216,25 @@ def gpu(device_id=0): return

[GitHub] anirudh2290 commented on issue #10354: Expose the number of GPUs.

anirudh2290 commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-380246506 Can we check `assertRaises` for `MXNetError` for CPU ? This is an automated

[GitHub] marcoabreu commented on issue #10354: Expose the number of GPUs.

marcoabreu commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-380244822 I think that we should be returning 0 since that's the actual number of GPUs present. Additionally, we could return a special value like

[GitHub] marcoabreu commented on issue #10354: Expose the number of GPUs.

marcoabreu commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-380244822 I think that we should be returning 0 since that's the actual number of GPUs present. Additionally, we could return a special value like

[GitHub] zhreshold commented on issue #10483: SSD performance optimization and benchmark script

zhreshold commented on issue #10483: SSD performance optimization and benchmark script URL: https://github.com/apache/incubator-mxnet/pull/10483#issuecomment-380244678 I think this should still improve the inference speed, but we would like to see how this affecting the pre-trained

[GitHub] aaronmarkham commented on issue #10449: [MXNET-293] Navigation updates

aaronmarkham commented on issue #10449: [MXNET-293] Navigation updates URL: https://github.com/apache/incubator-mxnet/pull/10449#issuecomment-380243809 Gluon is a Python API and being categorized at the top level was leading to some confusion. Also, the subsequent links were not that

[GitHub] indhub closed issue #9047: how to resolve the problem of IO？how to train data from spark？

indhub closed issue #9047: how to resolve the problem of IO？how to train data from spark？ URL: https://github.com/apache/incubator-mxnet/issues/9047 This is an automated message from the Apache Git Service. To respond to

[GitHub] indhub commented on issue #9047: how to resolve the problem of IO？how to train data from spark？

indhub commented on issue #9047: how to resolve the problem of IO？how to train data from spark？ URL: https://github.com/apache/incubator-mxnet/issues/9047#issuecomment-380241235 Please use the [user forum](https://discuss.mxnet.io/) for how-to questions. When posting in the forum, please

[GitHub] tdomhan commented on issue #10354: Expose the number of GPUs.

tdomhan commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-380239943 I added a test to `test_operator_gpu.py`. For CPU only hosts I'm not sure what to test, as a CUDA internal error isn't exactly the expected

[GitHub] sandeep-krishnamurthy closed issue #10419: How can I build mxnet in ubuntu16.04?

sandeep-krishnamurthy closed issue #10419: How can I build mxnet in ubuntu16.04? URL: https://github.com/apache/incubator-mxnet/issues/10419 This is an automated message from the Apache Git Service. To respond to the

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

sandeep-krishnamurthy commented on issue #10419: How can I build mxnet in ubuntu16.04? URL: https://github.com/apache/incubator-mxnet/issues/10419#issuecomment-380239631 Please follow instructions here - http://mxnet.incubator.apache.org/install/index.html Choose

[GitHub] marcoabreu commented on issue #10354: Expose the number of GPUs.

marcoabreu commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-380238440 I think the right place would be in the general unit test directory as well as in the GPU directory. Otherwise, we don't have coverage on

[GitHub] marcoabreu commented on issue #10367: [MXNET-262] Implement mx.random.seed_context to seed random number generators of a specific device context

marcoabreu commented on issue #10367: [MXNET-262] Implement mx.random.seed_context to seed random number generators of a specific device context URL: https://github.com/apache/incubator-mxnet/pull/10367#issuecomment-380237256 Thanks a lot for this change, this really something we've been

[GitHub] sandeep-krishnamurthy closed issue #10459: Does gluon support dynamic graph like if clause?

sandeep-krishnamurthy closed issue #10459: Does gluon support dynamic graph like if clause? URL: https://github.com/apache/incubator-mxnet/issues/10459 This is an automated message from the Apache Git Service. To respond to

[GitHub] roywei commented on issue #10446: [MXNET-173]fix acc metric shape miss match

roywei commented on issue #10446: [MXNET-173]fix acc metric shape miss match URL: https://github.com/apache/incubator-mxnet/pull/10446#issuecomment-380235804 @hetong007 updated with unit test This is an automated message

[GitHub] cjolivier01 commented on issue #10354: Expose the number of GPUs.

cjolivier01 commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-380233645 test_operator_gpu.py only runs on GPU machines, so you can put a test there.

[GitHub] indhub closed issue #9197: Get a element of tensor

indhub closed issue #9197: Get a element of tensor URL: https://github.com/apache/incubator-mxnet/issues/9197 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use

[GitHub] ly-atdawn commented on issue #9197: Get a element of tensor

ly-atdawn commented on issue #9197: Get a element of tensor URL: https://github.com/apache/incubator-mxnet/issues/9197#issuecomment-354305430 Why `int(labels[i][j]) or cout< labels, labels shape is

[GitHub] tdomhan commented on issue #10354: Expose the number of GPUs.

tdomhan commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-380232929 Tried to address all comments. I did not add a test, as CUDA seems to run into an issue on a CPU only machine, namely raising the following: ```

[GitHub] tdomhan commented on a change in pull request #10354: Expose the number of GPUs.

tdomhan commented on a change in pull request #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#discussion_r180553550 ## File path: python/mxnet/context.py ## @@ -212,6 +216,14 @@ def gpu(device_id=0): return Context('gpu',

[incubator-mxnet] branch master updated: [MXNET-106] [ONNX_MXNet] Change parameter names in imported model (#10472)

This is an automated email from the ASF dual-hosted git repository. cjolivier01 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 33823d3 [MXNET-106] [ONNX_MXNet]

[GitHub] cjolivier01 closed pull request #10472: [MXNET-106] [ONNX_MXNet] Change parameter names in imported model

cjolivier01 closed pull request #10472: [MXNET-106] [ONNX_MXNet] Change parameter names in imported model URL: https://github.com/apache/incubator-mxnet/pull/10472 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake

[GitHub] indhub commented on issue #7582: Gluon GPU memory efficiency

indhub commented on issue #7582: Gluon GPU memory efficiency URL: https://github.com/apache/incubator-mxnet/issues/7582#issuecomment-380230748 Any update on this? This is an automated message from the Apache Git Service. To

[GitHub] hnhuang commented on issue #7582: Gluon GPU memory efficiency

hnhuang commented on issue #7582: Gluon GPU memory efficiency URL: https://github.com/apache/incubator-mxnet/issues/7582#issuecomment-324483265 The memory consumption is the same as before. And I don't gain any performance... Here is the code. I do call vgg_net.hybridize() in the main

[GitHub] hnhuang commented on issue #7582: Gluon GPU memory efficiency

hnhuang commented on issue #7582: Gluon GPU memory efficiency URL: https://github.com/apache/incubator-mxnet/issues/7582#issuecomment-324477834 If I only use vgg+fcn, then I can set batch_size = 64 for tf+keras and gluon. Here is the code: ``` def get_vgg16(max): #net =

[GitHub] rahul003 commented on a change in pull request #10435: [MXNET-289] Allow specifying number of batches to run in an epoch to fix hang in dist sync for last epoch

rahul003 commented on a change in pull request #10435: [MXNET-289] Allow specifying number of batches to run in an epoch to fix hang in dist sync for last epoch URL: https://github.com/apache/incubator-mxnet/pull/10435#discussion_r180551845 ## File path:

[GitHub] hnhuang commented on issue #7582: Gluon GPU memory efficiency

hnhuang commented on issue #7582: Gluon GPU memory efficiency URL: https://github.com/apache/incubator-mxnet/issues/7582#issuecomment-324478350 Here is the code for vgg+fcn+fpn: ``` class get_vgg16(gluon.Block): def __init__(self, max, **kwargs):

[GitHub] indhub commented on issue #8156: Why mx-rcnn doesn't has proposal_target (cuda or C++) layer?

indhub commented on issue #8156: Why mx-rcnn doesn't has proposal_target (cuda or C++) layer? URL: https://github.com/apache/incubator-mxnet/issues/8156#issuecomment-380228484 According to the above discussion, proposal target can be prefetched and therefore doesn't need a faster GPU

[GitHub] indhub closed issue #8156: Why mx-rcnn doesn't has proposal_target (cuda or C++) layer?

indhub closed issue #8156: Why mx-rcnn doesn't has proposal_target (cuda or C++) layer? URL: https://github.com/apache/incubator-mxnet/issues/8156 This is an automated message from the Apache Git Service. To respond to the

[GitHub] indhub closed issue #8375: 1D GANs in Gluon

indhub closed issue #8375: 1D GANs in Gluon URL: https://github.com/apache/incubator-mxnet/issues/8375 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL

[GitHub] indhub commented on issue #8375: 1D GANs in Gluon

indhub commented on issue #8375: 1D GANs in Gluon URL: https://github.com/apache/incubator-mxnet/issues/8375#issuecomment-380226802 This is not an issue. Please use the [user forum](https://discuss.mxnet.io/) for how-to questions. Thanks!

[GitHub] indhub commented on issue #8466: ValueError: Unknown initialization pattern for softmax_label

indhub commented on issue #8466: ValueError: Unknown initialization pattern for softmax_label URL: https://github.com/apache/incubator-mxnet/issues/8466#issuecomment-380225657 Looks like you are trying to initialize softmax label which shouldn't be initialized by the iniliatizer. This is

[GitHub] kevinthesun commented on issue #10483: SSD performance optimization and benchmark script

kevinthesun commented on issue #10483: SSD performance optimization and benchmark script URL: https://github.com/apache/incubator-mxnet/pull/10483#issuecomment-380225627 MultiBoxDetection is only used for inference. @zhreshold Is this accurate?

  1   2   3   >