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 that
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
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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 ti
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.
---
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. Mai 2018, 02:14:
> @ma
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 a
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 allocate
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 ] A
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?
---
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 Apac
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 Intell
eric-haibin-lin closed issue #11064: Flaky test: test_operator.test_op_roi_align
URL: https://github.com/apache/incubator-mxnet/issues/11064
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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 d528453 [MXNET-473] Fix for dist_sync_
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 f
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
-
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
-
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 auto
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 Defaul
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
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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 Servi
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 {
nswamy closed pull request #11063: [MXNET-386] NDArray Bug fix
URL: https://github.com/apache/incubator-mxnet/pull/11063
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nswamy pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 1ac2bce [MXNET-386] NDArray Bug fix (#
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 Type
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
[restricted-
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* handle)
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 finishe
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
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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 br
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.
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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/
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/
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 i
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
--
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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 d497b37 Fix bugs in MKLDNN. (#10979)
d49
piiswrong closed pull request #10979: Fix bugs in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/10979
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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
---
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 automat
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
## Checkli
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 po
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 reason
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 automa
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 ca
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 result
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 messa
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 result
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 result
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 result
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 scal
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 regressi
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 problem.
yjcn closed 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
---
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?
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 whil
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
#
-export
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!
---
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() {
-D
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() {
pus
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 dockcross/linux
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 get_values(ens
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() {
push
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() {
-DU
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 dockcross/linux-
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 get_values(ensu
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 \
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 = np.random.RandomSta
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