hkingtswcbyy commented on issue #15589: [Discussion] 1.6.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/15589#issuecomment-536252668
If I want to use mxnet.gluon.nn.Conv2D to get a depthwise conv layer, I need
to explicit set the group argument. Can this be infered
szha commented on issue #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#issuecomment-536252099
Would this start publishing to all pypi package variants? As a first step,
it would be prudent to limit the blast radius by publishing one package
Author: taolv
Date: Sun Sep 29 05:39:57 2019
New Revision: 36113
Log:
1.5.1 release moving from dev to release repo
Added:
release/incubator/mxnet/1.5.1/
- copied from r36112, dev/incubator/mxnet/1.5.1/
Removed:
dev/incubator/mxnet/1.5.1/
Author: taolv
Date: Sun Sep 29 05:38:52 2019
New Revision: 36112
Log:
Add mxnet-1.5.1
Added:
dev/incubator/mxnet/1.5.1/
dev/incubator/mxnet/1.5.1/apache-mxnet-src-1.5.1-incubating.tar.gz (with
props)
dev/incubator/mxnet/1.5.1/apache-mxnet-src-1.5.1-incubating.tar.gz.asc
(with
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taolv pushed a change to tag 1.5.1
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
at c981848 (commit)
No new revisions were added by this update.
haojin2 commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536249603
@marcoabreu IMHO the default settings for building from source should be as
close to the ones used for the release versions as
reminisce commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536249177
@marcoabreu There are two problems reflected here. IMHO, we should not
tangle them.
1. The `Release` build type is not set
xidulu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536243031
Just FYI, CMAKE_BULD_TYPE=Release is specified when running CI.
TaoLv opened a new pull request #16327: [mkldnn-v1.0] [Don't merge] Trigger CI
URL: https://github.com/apache/incubator-mxnet/pull/16327
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
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taolv pushed a commit to branch mkldnn-v1.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
commit 4fba4c3ce4333ce4e801a117d9eee615ca2dc412
Merge: ce5ec06 512d25a
Author: Tao Lv
AuthorDate: Sun Sep 29
TaoLv closed pull request #16213: [mkldnn-v1.0][Don't merge] Trigger CI after
merging the master branch
URL: https://github.com/apache/incubator-mxnet/pull/16213
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taolv pushed a change to branch mkldnn-v1.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from ce5ec06 [mkldnn-v1.0] Add MKL-DNN Transpose (#16250)
add f5d8fbf New Website: Remove Old Content
shesung commented on issue #16297: incorrect grad of gluon.nn.BatchNorm when
scale=False
URL:
https://github.com/apache/incubator-mxnet/issues/16297#issuecomment-536240005
@lanking520 Yes. It's correct on cpu.
I also found that, defining the layer with symbol api, the result is
iblis17 commented on issue #16142: backport Julia patches to v1.5.x
URL: https://github.com/apache/incubator-mxnet/pull/16142#issuecomment-536239917
haha, :ok_hand:
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iblis17 edited a comment on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-533856570
~No idea why my backporting PR got closed (#16142).~ reopened
This
ZhennanQin commented on issue #16286: MKL-DNN Convolution result is unstable
with C API
URL:
https://github.com/apache/incubator-mxnet/issues/16286#issuecomment-536238441
@matteosal As https://github.com/apache/incubator-mxnet/pull/16289 is
merged, this issue should be fixed. Can you try
larroy commented on issue #15690: Deadlock when using trivial Gluon Dataset
URL:
https://github.com/apache/incubator-mxnet/issues/15690#issuecomment-536233935
Have you tried with platform OpenMP? I think it was working for me like that
with multiproccess. Which OMP implementation are you
larroy commented on issue #16326: Mxnet 1.5.0: Crash while training mask-rcnn
with horovod
URL:
https://github.com/apache/incubator-mxnet/issues/16326#issuecomment-536232641
Another one
```
[1,6]:INFO:root:[Epoch 0 Iteration 500] Set learning rate to
0.00
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wkcn pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 3950a47 [MXNET-978] n-th order gradient test support. (#15611)
add 512d25a Minor fix in ToTensor
wkcn merged pull request #16299: Minor fix in ToTensor documentation.
URL: https://github.com/apache/incubator-mxnet/pull/16299
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wkcn commented on issue #16299: Minor fix in ToTensor documentation.
URL: https://github.com/apache/incubator-mxnet/pull/16299#issuecomment-536229541
Merged it. Thanks for your contribution: )
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larroy commented on issue #16326: Mxnet 1.5.0: Crash while training mask-rcnn
with horovod
URL:
https://github.com/apache/incubator-mxnet/issues/16326#issuecomment-536224984
@mxnet-label-bot add [Bug]
This is an automated
larroy opened a new issue #16326: Mxnet 1.5.0: Crash while training mask-rcnn
with horovod
URL: https://github.com/apache/incubator-mxnet/issues/16326
## Description
## Environment info (Required)
```
Architecture:x86_64
CPU op-mode(s): 32-bit, 64-bit
mxnet-label-bot commented on issue #16326: Mxnet 1.5.0: Crash while training
mask-rcnn with horovod
URL:
https://github.com/apache/incubator-mxnet/issues/16326#issuecomment-536224641
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some
apeforest closed issue #16325: 2
URL: https://github.com/apache/incubator-mxnet/issues/16325
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mxnet-label-bot commented on issue #16325: 2
URL:
https://github.com/apache/incubator-mxnet/issues/16325#issuecomment-536223967
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the appropriate MXNet community members can
apeforest opened a new issue #16325: 2
URL: https://github.com/apache/incubator-mxnet/issues/16325
Note: Providing complete information in the most concise form is the best
way to get help. This issue template serves as the checklist for essential
information to most of the technical
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apeforest pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 943bed5 add mkl installation temp fix (#16304)
add 3950a47 [MXNET-978] n-th order gradient test
apeforest merged pull request #15611: [MXNET-978] n-th order gradient test
support.
URL: https://github.com/apache/incubator-mxnet/pull/15611
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apeforest commented on issue #16142: backport Julia patches to v1.5.x
URL: https://github.com/apache/incubator-mxnet/pull/16142#issuecomment-536223299
Hi @iblis17 I am so sorry. This must be an accident when I was viewing PRs
on my cell phone. I have re-opened it for review. Again, I am
iblis17 opened a new pull request #16142: backport Julia patches to v1.5.x
URL: https://github.com/apache/incubator-mxnet/pull/16142
- #15608
- #15609
- #16138
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marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536214423
Interesting, which ones are failing? Can we fix them?
This is an
Kh4L commented on a change in pull request #16268: Add mask target generator
operator for Mask-RCNN
URL: https://github.com/apache/incubator-mxnet/pull/16268#discussion_r329321165
##
File path: src/operator/contrib/mrcnn_target.cu
##
@@ -0,0 +1,277 @@
+/*
+ * Licensed to
Kh4L commented on a change in pull request #16268: Add mask target generator
operator for Mask-RCNN
URL: https://github.com/apache/incubator-mxnet/pull/16268#discussion_r329321166
##
File path: src/operator/contrib/mrcnn_target.cu
##
@@ -0,0 +1,277 @@
+/*
+ * Licensed to
Kh4L commented on a change in pull request #16268: Add mask target generator
operator for Mask-RCNN
URL: https://github.com/apache/incubator-mxnet/pull/16268#discussion_r329321172
##
File path: src/operator/contrib/mrcnn_target.cu
##
@@ -0,0 +1,277 @@
+/*
+ * Licensed to
junrushao1994 commented on issue #16290: [IR-Patch] IR Bridge
URL: https://github.com/apache/incubator-mxnet/pull/16290#issuecomment-536210891
@iblis17 either LLVM 6.0 or 8.0 works. No worries, the issue is caused by
symbol conflicts between Julia’s LLVM and TVM’s LLVM, and has been fixed
sxjscience commented on a change in pull request #16257: [Numpy] add numpy op
bitwise_xor, hsplit, moveaxis, rot90
URL: https://github.com/apache/incubator-mxnet/pull/16257#discussion_r329312643
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2012,6 +2012,121 @@
ibrahimsherdil commented on issue #15583: forward error of mxnet-cu100 with
version 1.4.1
URL:
https://github.com/apache/incubator-mxnet/issues/15583#issuecomment-536194493
How did you solve this? Or bypass?
This is an
sxjscience commented on a change in pull request #16257: [Numpy] add numpy op
bitwise_xor, hsplit, moveaxis, rot90
URL: https://github.com/apache/incubator-mxnet/pull/16257#discussion_r329312082
##
File path: src/operator/numpy/np_matrix_op.cc
##
@@ -612,5 +614,215 @@
gyshi commented on a change in pull request #16257: [Numpy] add numpy op
bitwise_xor, hsplit, moveaxis, rot90
URL: https://github.com/apache/incubator-mxnet/pull/16257#discussion_r329309685
##
File path: src/operator/numpy/np_matrix_op.cc
##
@@ -612,5 +614,215 @@
gyshi commented on a change in pull request #16257: [Numpy] add numpy op
bitwise_xor, hsplit, moveaxis, rot90
URL: https://github.com/apache/incubator-mxnet/pull/16257#discussion_r329309474
##
File path: src/operator/numpy/np_matrix_op.cc
##
@@ -612,5 +614,215 @@
gyshi commented on a change in pull request #16257: [Numpy] add numpy op
bitwise_xor, hsplit, moveaxis, rot90
URL: https://github.com/apache/incubator-mxnet/pull/16257#discussion_r329308486
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2012,6 +2012,121 @@ def
iblis17 commented on issue #16306: [Julia CI pipeline] reduce complexity and
deps
URL:
https://github.com/apache/incubator-mxnet/issues/16306#issuecomment-536180166
I tried to run a "lite" binary build
```
make: *** No rule to make target
iblis17 commented on issue #16290: [IR-Patch] IR Bridge
URL: https://github.com/apache/incubator-mxnet/pull/16290#issuecomment-536175633
well, which version of LLVM is required by TVM?
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hgt312 commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536174745
> There are in fact totally valid use cases to not use release compilation.
So I wouldn't dismiss the other options.
CMake
sad- opened a new pull request #16288: adding redirects so that old website API
links surfaced from searches
URL: https://github.com/apache/incubator-mxnet/pull/16288
… redirect to proper locations in new website
## Description ##
(Brief description on what this PR is about)
ThomasDelteil closed pull request #16288: adding redirects so that old website
API links surfaced from searches
URL: https://github.com/apache/incubator-mxnet/pull/16288
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marcoabreu commented on issue #16294: Add CMake flag `CMAKE_BUILD_TYPE=Release`
URL: https://github.com/apache/incubator-mxnet/pull/16294#issuecomment-536173608
There are in fact totally valid use cases to not use release compilation. So
I wouldn't dismiss the other options.
marcoabreu commented on issue #16290: [IR-Patch] IR Bridge
URL: https://github.com/apache/incubator-mxnet/pull/16290#issuecomment-536173565
@iblis17
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bricksdont closed issue #16295: New website: where did "Evaluation Metric API"
go?
URL: https://github.com/apache/incubator-mxnet/issues/16295
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bricksdont commented on issue #16295: New website: where did "Evaluation Metric
API" go?
URL:
https://github.com/apache/incubator-mxnet/issues/16295#issuecomment-536169414
Thanks! In the meantime I learned that there are already several PRs to fix
the website issues - closing for now.
kshitij12345 commented on issue #15611: [MXNET-978] n-th order gradient test
support.
URL: https://github.com/apache/incubator-mxnet/pull/15611#issuecomment-536165949
@sxjscience Gentle ping for review:)
This is an automated
kshitij12345 commented on issue #15530: [MXNET-978] Higher Order Gradient
Support `arcsinh`, `arccosh`.
URL: https://github.com/apache/incubator-mxnet/pull/15530#issuecomment-536165873
@apeforest Gentle ping for review:)
TaoLv commented on issue #16300: intel-mkl package failing to install during
ubuntu builds
URL:
https://github.com/apache/incubator-mxnet/issues/16300#issuecomment-536160774
Thank you @lanking520 @aaronmarkham . I will take a look.
iblis17 commented on issue #16306: [Julia CI pipeline] reduce complexity and
deps
URL:
https://github.com/apache/incubator-mxnet/issues/16306#issuecomment-536158822
(cc me)
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iblis pushed a change to branch ib/jl-gpu-mem
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from a20dcd5 julia: implement context.gpu_memory_info
add 07207b1 update export and NEWS
No new
hzfan commented on a change in pull request #15855: [Numpy] cumprod
URL: https://github.com/apache/incubator-mxnet/pull/15855#discussion_r329298747
##
File path: ci/docker/runtime_functions.sh
##
@@ -367,6 +367,7 @@ build_ubuntu_cpu_openblas() {
set -ex
export
saicoco edited a comment on issue #16298: [Gluon with estimator] loss is
unchanged?
URL:
https://github.com/apache/incubator-mxnet/issues/16298#issuecomment-536157135
@lanking520 Here is my network:
```python
import mxnet as mx
from mxnet.gluon import data, HybridBlock, nn
iblis17 opened a new pull request #16324: [MXNET-1430] julia: implement
context.gpu_memory_info
URL: https://github.com/apache/incubator-mxnet/pull/16324
resolve MXNET-1430
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saicoco edited a comment on issue #16298: [Gluon with estimator] loss is
unchanged?
URL:
https://github.com/apache/incubator-mxnet/issues/16298#issuecomment-536157135
Here is my network:
```python
import mxnet as mx
from mxnet.gluon import data, HybridBlock, nn
import pandas
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