[GitHub] rachelmint opened a new issue #11071: GPU memory usage for VGG16 prediction

rachelmint opened a new issue #11071: GPU memory usage for VGG16 prediction URL: https://github.com/apache/incubator-mxnet/issues/11071 Hi, I found that image prediction with VGG16 took 770M GPU memory (for 1 image). I felt like mxnet use more memory than caffe in this case. Is

[GitHub] haojin2 opened a new pull request #11070: bump up version number to 1.3.0

haojin2 opened a new pull request #11070: bump up version number to 1.3.0 URL: https://github.com/apache/incubator-mxnet/pull/11070 ## Description ## As title. ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [ ] The PR title

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

This is an automated email from the ASF dual-hosted git repository. zhasheng pushed a commit to branch asf-site in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git The following commit(s) were added to refs/heads/asf-site by this push: new 9902a1c Bump the publish

[GitHub] solin319 commented on issue #11061: mx.nd.argmax is slow

solin319 commented on issue #11061: mx.nd.argmax is slow URL: https://github.com/apache/incubator-mxnet/issues/11061#issuecomment-392223217 @z01nl1o02 "print max[0]" is used to make sure argmax completed. We can change it to 'max.wait_to_read()', the result is same.

[GitHub] marcoabreu commented on issue #10921: Test cases improvement for MKLDNN on Gluon

marcoabreu commented on issue #10921: Test cases improvement for MKLDNN on Gluon URL: https://github.com/apache/incubator-mxnet/pull/10921#issuecomment-392219240 Aaaah no no, definitely not. It was just a general statement :) Da Zheng schrieb am Sa., 26.

[GitHub] marcoabreu commented on issue #11066: migrating docs build and publish job to secure nodes

marcoabreu commented on issue #11066: migrating docs build and publish job to secure nodes URL: https://github.com/apache/incubator-mxnet/pull/11066#issuecomment-392219038 Did you rename the Jenkins job to restricted-blabla? The error that this slave does not exist is fine. It will

[GitHub] zheng-da commented on issue #10921: Test cases improvement for MKLDNN on Gluon

zheng-da commented on issue #10921: Test cases improvement for MKLDNN on Gluon URL: https://github.com/apache/incubator-mxnet/pull/10921#issuecomment-392218718 @marcoabreu i'm not sure what you mean. do you mean we should support NDArrays of 85GB? i don't think we can use malloc to

[GitHub] kpmurali opened a new pull request #11069: [MXNET-480] New version select for Install page

kpmurali opened a new pull request #11069: [MXNET-480] New version select for Install page URL: https://github.com/apache/incubator-mxnet/pull/11069 ## Description ## New Version select for install page with query string features ## Checklist ## ### Changes ### - [ x ]

[GitHub] aaronmarkham commented on issue #11066: migrating docs build and publish job to secure nodes

aaronmarkham commented on issue #11066: migrating docs build and publish job to secure nodes URL: https://github.com/apache/incubator-mxnet/pull/11066#issuecomment-392212683 @marcoabreu - what's this `what()` failure on CI? I've seen it a couple of times. Something flakey?

[GitHub] aaronmarkham commented on issue #11068: [MXNET-478] Fixing the xml markup

aaronmarkham commented on issue #11068: [MXNET-478] Fixing the xml markup URL: https://github.com/apache/incubator-mxnet/pull/11068#issuecomment-392212156 @nswamy Please review/merge. This is an automated message from the

[GitHub] kpmurali opened a new pull request #11068: [MXNET-478] Fixing the xml markup

kpmurali opened a new pull request #11068: [MXNET-478] Fixing the xml markup URL: https://github.com/apache/incubator-mxnet/pull/11068 ## Description ## Fix the broken XML markup in IntelliJ tutorials ## Checklist ## ### Changes ### - [ x ] Fix the broken XML markup in

[incubator-mxnet] branch master updated: [MXNET-473] Fix for dist_sync_kvstore (#11058)

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[GitHub] eric-haibin-lin closed issue #11064: Flaky test: test_operator.test_op_roi_align

eric-haibin-lin closed issue #11064: Flaky test: test_operator.test_op_roi_align URL: https://github.com/apache/incubator-mxnet/issues/11064 This is an automated message from the Apache Git Service. To respond to the

[GitHub] eric-haibin-lin closed pull request #11058: [MXNET-473] Fix for dist_sync_kvstore and test_operator.test_op_roi_align

eric-haibin-lin closed pull request #11058: [MXNET-473] Fix for dist_sync_kvstore and test_operator.test_op_roi_align URL: https://github.com/apache/incubator-mxnet/pull/11058 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below

[GitHub] haojin2 commented on issue #11064: Flaky test: test_operator.test_op_roi_align

haojin2 commented on issue #11064: Flaky test: test_operator.test_op_roi_align URL: https://github.com/apache/incubator-mxnet/issues/11064#issuecomment-392208742 @zhreshold increased the rtol to 1e-4 and passed 500 consecutive test runs, the change is included in #11058

[GitHub] haojin2 commented on issue #11064: Flaky test: test_operator.test_op_roi_align

haojin2 commented on issue #11064: Flaky test: test_operator.test_op_roi_align URL: https://github.com/apache/incubator-mxnet/issues/11064#issuecomment-392208742 @zhreshold increased the rtol to 1e-5 and passed 500 consecutive test runs, the change is included in #11058

[GitHub] haojin2 commented on issue #11058: [MXNET-473] Fix for dist_sync_kvstore

haojin2 commented on issue #11058: [MXNET-473] Fix for dist_sync_kvstore URL: https://github.com/apache/incubator-mxnet/pull/11058#issuecomment-392208577 @rahul003 this should fix the issue of dist_sync_kvstore This is an

[GitHub] rahul003 commented on a change in pull request #11027: Add standard ResNet data augmentation for ImageRecordIter

rahul003 commented on a change in pull request #11027: Add standard ResNet data augmentation for ImageRecordIter URL: https://github.com/apache/incubator-mxnet/pull/11027#discussion_r191026394 ## File path: src/io/image_aug_default.cc ## @@ -104,16 +127,37 @@ struct

[GitHub] szha commented on issue #11037: Website landing page for MMS

szha commented on issue #11037: Website landing page for MMS URL: https://github.com/apache/incubator-mxnet/pull/11037#issuecomment-392199128 Pinging @piiswrong for review This is an automated message from the Apache Git

[GitHub] haojin2 commented on issue #11058: [MXNET-473] Fix for dist_sync_kvstore

haojin2 commented on issue #11058: [MXNET-473] Fix for dist_sync_kvstore URL: https://github.com/apache/incubator-mxnet/pull/11058#issuecomment-392195581 @eric-haibin-lin This is an automated message from the Apache Git

[GitHub] eric-haibin-lin commented on a change in pull request #11012: [WIP] leaky relu speed

eric-haibin-lin commented on a change in pull request #11012: [WIP] leaky relu speed URL: https://github.com/apache/incubator-mxnet/pull/11012#discussion_r191014378 ## File path: src/operator/leaky_relu-inl.h ## @@ -115,11 +116,27 @@ class LeakyReLUOp : public Operator {

[GitHub] nswamy closed pull request #11063: [MXNET-386] NDArray Bug fix

nswamy closed pull request #11063: [MXNET-386] NDArray Bug fix URL: https://github.com/apache/incubator-mxnet/pull/11063 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

[incubator-mxnet] branch master updated: [MXNET-386] NDArray Bug fix (#11063)

This is an automated email from the ASF dual-hosted git repository. nswamy 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 1ac2bce [MXNET-386] NDArray Bug fix

[GitHub] thomelane opened a new pull request #11067: Added links to tutorials index page

thomelane opened a new pull request #11067: Added links to tutorials index page URL: https://github.com/apache/incubator-mxnet/pull/11067 ## Description ## Corrections to tutorials index page. 1) Added back tutorial links for Data Augmentation tutorials: Gluon, Module and

[GitHub] aaronmarkham opened a new pull request #11066: migrating docs build and publish job to secure nodes

aaronmarkham opened a new pull request #11066: migrating docs build and publish job to secure nodes URL: https://github.com/apache/incubator-mxnet/pull/11066 ## Description ## Migrating docs build to secure/restricted jenkins nodes. - [x] Created a new jenkins job called

[GitHub] eric-haibin-lin commented on a change in pull request #11041: gpu mem pool strategy

eric-haibin-lin commented on a change in pull request #11041: gpu mem pool strategy URL: https://github.com/apache/incubator-mxnet/pull/11041#discussion_r191000176 ## File path: src/storage/storage.cc ## @@ -118,7 +118,21 @@ void StorageImpl::Alloc(Storage::Handle*

[GitHub] haojin2 opened a new pull request #11065: [MXNET-477] [TEST PR] [DO NOT MERGE] [WIP] CI engine test bug fix test

haojin2 opened a new pull request #11065: [MXNET-477] [TEST PR] [DO NOT MERGE] [WIP] CI engine test bug fix test URL: https://github.com/apache/incubator-mxnet/pull/11065 ## Description ## As title ## Checklist ## ### Essentials ### - [ ] Changes are complete (i.e. I

[GitHub] zhreshold commented on issue #10628: [MXNET-342] Fix the multi worker Dataloader

zhreshold commented on issue #10628: [MXNET-342] Fix the multi worker Dataloader URL: https://github.com/apache/incubator-mxnet/pull/10628#issuecomment-392134395 I think pytorch is also suffering from similar problems: https://github.com/pytorch/pytorch/issues/973 I think we can use

[incubator-mxnet] branch master updated: [MXNET-413] Fixing the broken links - Week of 5/7 (#10895)

This is an automated email from the ASF dual-hosted git repository. anirudh2290 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 feb0757 [MXNET-413] Fixing the

[GitHub] anirudh2290 closed pull request #10895: [MXNET-413] Fixing the broken links - Week of 5/7

anirudh2290 closed pull request #10895: [MXNET-413] Fixing the broken links - Week of 5/7 URL: https://github.com/apache/incubator-mxnet/pull/10895 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:

svn commit: r27108 - in /dev/incubator/mxnet: 1.2.0.rc0/ 1.2.0.rc1/ 1.2.0.rc2/ 1.2.0.rc3/

Author: anirudh2290 Date: Fri May 25 17:52:54 2018 New Revision: 27108 Log: Removing rc dirs Removed: dev/incubator/mxnet/1.2.0.rc0/ dev/incubator/mxnet/1.2.0.rc1/ dev/incubator/mxnet/1.2.0.rc2/ dev/incubator/mxnet/1.2.0.rc3/

svn commit: r27107 - /release/incubator/mxnet/1.1.0/

Author: anirudh2290 Date: Fri May 25 17:51:37 2018 New Revision: 27107 Log: Remove 1.1.0 Removed: release/incubator/mxnet/1.1.0/

[GitHub] zhreshold commented on issue #11064: Flaky test: test_operator.test_op_roi_align

zhreshold commented on issue #11064: Flaky test: test_operator.test_op_roi_align URL: https://github.com/apache/incubator-mxnet/issues/11064#issuecomment-392125397 Relax with rtol should be fine, the diff is acceptable This

[GitHub] eric-haibin-lin opened a new issue #11064: Flaky test: test_operator.test_op_roi_align

eric-haibin-lin opened a new issue #11064: Flaky test: test_operator.test_op_roi_align URL: https://github.com/apache/incubator-mxnet/issues/11064 ``` == FAIL: test_operator.test_op_roi_align

[incubator-mxnet] branch master updated: Fix bugs in MKLDNN. (#10979)

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[GitHub] piiswrong closed pull request #10979: Fix bugs in MKLDNN.

piiswrong closed pull request #10979: Fix bugs in MKLDNN. URL: https://github.com/apache/incubator-mxnet/pull/10979 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

[GitHub] eric-haibin-lin commented on issue #10974: Cpp CI may be broken

eric-haibin-lin commented on issue #10974: Cpp CI may be broken URL: https://github.com/apache/incubator-mxnet/issues/10974#issuecomment-392115048 Also blocked my PR: http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-11001/11/pipeline

[GitHub] TaoLv commented on issue #11047: Enhance mkldnn pooling to support full convention

TaoLv commented on issue #11047: Enhance mkldnn pooling to support full convention URL: https://github.com/apache/incubator-mxnet/pull/11047#issuecomment-392113596 @zheng-da I see. Will add test case later. This is an

[GitHub] lanking520 opened a new pull request #11063: [MXNET-386] NDArray Bug fix

lanking520 opened a new pull request #11063: [MXNET-386] NDArray Bug fix URL: https://github.com/apache/incubator-mxnet/pull/11063 ## Description ## Currently, we should not generate the underscore (unsupported) API for Scala. This is a fix on this. @nswamy @yzhliu ##

[GitHub] marcoabreu commented on issue #10921: Test cases improvement for MKLDNN on Gluon

marcoabreu commented on issue #10921: Test cases improvement for MKLDNN on Gluon URL: https://github.com/apache/incubator-mxnet/pull/10921#issuecomment-392105517 I think it's a good these tests failed - it means that we actually have some issues and are being inconsistent. That's a great

[GitHub] zheng-da commented on issue #10921: Test cases improvement for MKLDNN on Gluon

zheng-da commented on issue #10921: Test cases improvement for MKLDNN on Gluon URL: https://github.com/apache/incubator-mxnet/pull/10921#issuecomment-392087536 your input size is too large for Dense. Very few systems can actually allocate a single piece of memory of 85GB. There is no

[GitHub] zheng-da commented on issue #10807: Ndarray.asnumpy() error with gluon dense under both GPU and CPU environment

zheng-da commented on issue #10807: Ndarray.asnumpy() error with gluon dense under both GPU and CPU environment URL: https://github.com/apache/incubator-mxnet/issues/10807#issuecomment-392086315 i think so This is an

[GitHub] zheng-da commented on issue #11047: Enhance mkldnn pooling to support full convention

zheng-da commented on issue #11047: Enhance mkldnn pooling to support full convention URL: https://github.com/apache/incubator-mxnet/pull/11047#issuecomment-392084012 the test can't really cover the cases we want. it didn't detect the bug before @ashokei disabled full convention. you

[GitHub] asitstands commented on issue #11031: Use dtype=int for the indices returned by TopK

asitstands commented on issue #11031: Use dtype=int for the indices returned by TopK URL: https://github.com/apache/incubator-mxnet/issues/11031#issuecomment-392075252 This could break existing code. Sometimes the resulting array of indices is subject to another operation. Then the

[GitHub] z01nl1o02 commented on issue #11061: mx.nd.argmax is slow

z01nl1o02 commented on issue #11061: mx.nd.argmax is slow URL: https://github.com/apache/incubator-mxnet/issues/11061#issuecomment-392078671 remove the line "print max[0]" mx.nd will be faster. This is an automated

[GitHub] asitstands commented on issue #11031: Use dtype=int for the indices returned by TopK

asitstands commented on issue #11031: Use dtype=int for the indices returned by TopK URL: https://github.com/apache/incubator-mxnet/issues/11031#issuecomment-392075252 This could break existing code. Sometimes the resulting array of indices is subject to another operation. Then the

[GitHub] asitstands commented on issue #11031: Use dtype=int for the indices returned by TopK

asitstands commented on issue #11031: Use dtype=int for the indices returned by TopK URL: https://github.com/apache/incubator-mxnet/issues/11031#issuecomment-392075252 This could break existing code. Sometimes the resulting array of indices is subject to another operation. Then the

[GitHub] asitstands commented on issue #11031: Use dtype=int for the indices returned by TopK

asitstands commented on issue #11031: Use dtype=int for the indices returned by TopK URL: https://github.com/apache/incubator-mxnet/issues/11031#issuecomment-392075252 This could break existing code. Sometimes the resulting array of indices is subject to another operation. Then the

[GitHub] CodingCat commented on issue #10462: [MXNET-62] add test against spark integration

CodingCat commented on issue #10462: [MXNET-62] add test against spark integration URL: https://github.com/apache/incubator-mxnet/pull/10462#issuecomment-392073379 @yzhliu want to take another look? I think the failed test is unrelated to my change you can check the stdout of

[GitHub] zchrissirhcz commented on issue #9113: float division by zero error for small network

zchrissirhcz commented on issue #9113: float division by zero error for small network URL: https://github.com/apache/incubator-mxnet/issues/9113#issuecomment-392058102 Is this because our GPU based machine runs too fast? I also encounter this problem when playing the linear

[GitHub] yjcn commented on issue #11052: Nvidia Jetson TX2 Check failed: (err) == (cudaSuccess) Name: mxnet_generic_kernel ErrStr:no kernel image is available for execution on the device

yjcn commented on issue #11052: Nvidia Jetson TX2 Check failed: (err) == (cudaSuccess) Name: mxnet_generic_kernel ErrStr:no kernel image is available for execution on the device URL: https://github.com/apache/incubator-mxnet/issues/11052#issuecomment-392057536 I have solved this

[GitHub] kaleidoscopical opened a new issue #11062: how to manually occupy all gpu memory like tensorflow?

kaleidoscopical opened a new issue #11062: how to manually occupy all gpu memory like tensorflow? URL: https://github.com/apache/incubator-mxnet/issues/11062 MxNet is excellent on memory saving. But is there a way to manually occupy all gpu memory like tensorflow?

[GitHub] wsokolow commented on issue #11040: Big acc difference when fine-tune using vgg16 and resnet-50

wsokolow commented on issue #11040: Big acc difference when fine-tune using vgg16 and resnet-50 URL: https://github.com/apache/incubator-mxnet/issues/11040#issuecomment-392050897 Which engine did you use for execution? GPU or CPU (with MKLDNN)? I'm observing issues with ~10% accuracy

[GitHub] lebeg commented on a change in pull request #11036: [MXNET-472] Add ccache support to CI

lebeg commented on a change in pull request #11036: [MXNET-472] Add ccache support to CI URL: https://github.com/apache/incubator-mxnet/pull/11036#discussion_r190878691 ## File path: make/config.mk ## @@ -37,8 +37,8 @@ # choice of compiler #

[GitHub] liuzx32 commented on issue #11060: wget https://s3-us-west-2.amazonaws.com/mxnet.liuyz/data/mnist/train.txt throw 404

liuzx32 commented on issue #11060: wget https://s3-us-west-2.amazonaws.com/mxnet.liuyz/data/mnist/train.txt throw 404 URL: https://github.com/apache/incubator-mxnet/issues/11060#issuecomment-392022915 @szha @yzhliu Thank you for the training data!

[GitHub] larroy commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM

larroy commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM URL: https://github.com/apache/incubator-mxnet/pull/10297#discussion_r190862675 ## File path: ci/docker/runtime_functions.sh ## @@ -77,7 +82,7 @@ build_armv6() {

[GitHub] larroy commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM

larroy commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM URL: https://github.com/apache/incubator-mxnet/pull/10297#discussion_r190862619 ## File path: ci/docker/runtime_functions.sh ## @@ -40,19 +40,24 @@ build_jetson() {

[GitHub] larroy commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM

larroy commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM URL: https://github.com/apache/incubator-mxnet/pull/10297#discussion_r190861901 ## File path: ci/docker/Dockerfile.build.armv7 ## @@ -20,13 +20,13 @@ FROM

[GitHub] larroy commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM

larroy commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM URL: https://github.com/apache/incubator-mxnet/pull/10297#discussion_r190861774 ## File path: tests/python/unittest/test_ndarray.py ## @@ -711,9 +711,8 @@ def

[GitHub] lebeg commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM

lebeg commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM URL: https://github.com/apache/incubator-mxnet/pull/10297#discussion_r190845064 ## File path: ci/docker/runtime_functions.sh ## @@ -40,19 +40,24 @@ build_jetson() {

[GitHub] lebeg commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM

lebeg commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM URL: https://github.com/apache/incubator-mxnet/pull/10297#discussion_r190844837 ## File path: ci/docker/runtime_functions.sh ## @@ -77,7 +82,7 @@ build_armv6() {

[GitHub] lebeg commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM

lebeg commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM URL: https://github.com/apache/incubator-mxnet/pull/10297#discussion_r190845261 ## File path: ci/docker/Dockerfile.build.armv7 ## @@ -20,13 +20,13 @@ FROM

[GitHub] lebeg commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM

lebeg commented on a change in pull request #10297: [MXNET-244] Fixes for cross compilation in ARM URL: https://github.com/apache/incubator-mxnet/pull/10297#discussion_r190845478 ## File path: tests/python/unittest/test_ndarray.py ## @@ -711,9 +711,8 @@ def

[GitHub] lebeg commented on a change in pull request #11053: Fixed armv7 wheel

lebeg commented on a change in pull request #11053: Fixed armv7 wheel URL: https://github.com/apache/incubator-mxnet/pull/11053#discussion_r190837223 ## File path: ci/docker/runtime_functions.sh ## @@ -83,31 +102,40 @@ build_armv6() { -DBUILD_CPP_EXAMPLES=OFF \

[GitHub] solin319 opened a new issue #11061: mx.nd.argmax is slow

solin319 opened a new issue #11061: mx.nd.argmax is slow URL: https://github.com/apache/incubator-mxnet/issues/11061 ``` import time import mxnet as mx import numpy as np import os tmp = mx.nd.random.uniform(-1, 1, shape=(64,30), ctx=mx.gpu()) #tmp =