aaronmarkham commented on issue #10010: Documentation for build_version_doc
scripts folder
URL: https://github.com/apache/incubator-mxnet/pull/10010#issuecomment-371226453
https://issues.apache.org/jira/projects/MXNET/issues/MXNET-47
zhanghang1989 commented on issue #10027: Fix bug/typo for Dropout using axes
URL: https://github.com/apache/incubator-mxnet/pull/10027#issuecomment-371269252
@szha this should fix the problem of dropout using axes.
This is an
Jerryzcn commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r172979255
##
File path: src/operator/rnn-inl.h
##
@@ -287,8 +507,9 @@ class RNNProp : public OperatorProperty {
const
thinksanky opened a new pull request #57: fixed redirection of the install page
URL: https://github.com/apache/incubator-mxnet-site/pull/57
## Description ##
- Added redirection to install page to mitigate the issue.
This
aaronmarkham commented on issue #10013: update on setting up Scala with MXNet
and the IntelliJ IDE
URL: https://github.com/apache/incubator-mxnet/pull/10013#issuecomment-371228893
https://issues.apache.org/jira/projects/MXNET/issues/MXNET-48
sergeykolychev commented on a change in pull request #9988: [Perl] Sparse
feature.
URL: https://github.com/apache/incubator-mxnet/pull/9988#discussion_r172942895
##
File path: perl-package/AI-MXNet/lib/AI/MXNet/NDArray/Sparse.pm
##
@@ -0,0 +1,1342 @@
+# Licensed to the
sxjscience commented on issue #10016: MxNet hangs up during bind.
URL:
https://github.com/apache/incubator-mxnet/issues/10016#issuecomment-371244313
Hi @kandoiNikhil , what kind of GPU are you using? Sometimes it's due to the
JIT compilation. You can cache the result of the JIT
zhanghang1989 commented on issue #9989: Cannot train example gluon style
transfer
URL:
https://github.com/apache/incubator-mxnet/issues/9989#issuecomment-371252011
@piiswrong Need some help about API changes.
In the style transfer example, the `set_data()` function was okay for
zhanghang1989 commented on issue #9989: Cannot train example gluon style
transfer
URL:
https://github.com/apache/incubator-mxnet/issues/9989#issuecomment-371252011
@piiswrong Need some help about API changes.
In the style transfer example, the `set_data()` function was okay for
zhanghang1989 opened a new pull request #10027: Fix bug/typo for Dropout using
axes
URL: https://github.com/apache/incubator-mxnet/pull/10027
## Description ##
Fix bug for a recent PR https://github.com/apache/incubator-mxnet/pull/9931
## Checklist ##
### Essentials ###
- [
Jerryzcn commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r172978477
##
File path: src/operator/rnn-inl.h
##
@@ -78,10 +82,12 @@ inline int rnn_param_size(int layerNum,
int size =
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liuyizhi pushed a change to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git.
from 7083943 Merge pull request #56 from
thinksanky/touched_file_to_refresh_site
add 3d841e3
zhanghang1989 commented on issue #9989: Cannot train example gluon style
transfer
URL:
https://github.com/apache/incubator-mxnet/issues/9989#issuecomment-371242715
Hi @samhodge , you shouldn't move L82 out of autograd.record scope, because
the gradient of siamese network won't
marcoabreu opened a new issue #10026: MXNET_MKLDNN_DEBUG=1 produces errors
URL: https://github.com/apache/incubator-mxnet/issues/10026
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-9995/32/pipeline/483
Setting ``MXNET_MKLDNN_DEBUG=1`` as
zheng-da commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r172944904
##
File path: src/operator/rnn-inl.h
##
@@ -287,8 +507,9 @@ class RNNProp : public OperatorProperty {
const
zheng-da commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r172712476
##
File path: src/operator/rnn-inl.h
##
@@ -144,15 +149,224 @@ class RNNOp : public Operator {
zheng-da commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r172948107
##
File path: src/operator/rnn-inl.h
##
@@ -144,15 +149,224 @@ class RNNOp : public Operator {
zheng-da commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r172710204
##
File path: src/operator/rnn-inl.h
##
@@ -78,10 +82,12 @@ inline int rnn_param_size(int layerNum,
int size =
Jerryzcn commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r172979255
##
File path: src/operator/rnn-inl.h
##
@@ -287,8 +507,9 @@ class RNNProp : public OperatorProperty {
const
yzhliu closed pull request #57: fixed redirection of the install page
URL: https://github.com/apache/incubator-mxnet-site/pull/57
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liuyizhi pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
commit 465896d944c1020e80c67e33d5565893b2c18e76
Merge: 7083943 3d841e3
Author: Yizhi Liu
yzhliu opened a new pull request #10031: Sync master with v1.1.0 branch
URL: https://github.com/apache/incubator-mxnet/pull/10031
I have went through the commits and checked all the changes on v1.1.0 branch
has been merged into master, except the LICENSE and NEWS below.
But I did
zhanghang1989 opened a new pull request #10028: fix bug for dropout with axes
URL: https://github.com/apache/incubator-mxnet/pull/10028
## Description ##
fix bug for a previous PR https://github.com/apache/incubator-mxnet/pull/9931
## Checklist ##
### Essentials ###
- [ ]
OferRosenberg commented on issue #8917: Build using android.arm64 android.armv7
dockers fails, while arm64 and arm7 dockers work
URL:
https://github.com/apache/incubator-mxnet/issues/8917#issuecomment-371295031
Thanks ! checked it out and it works perfectly.
OferRosenberg closed issue #8917: Build using android.arm64 android.armv7
dockers fails, while arm64 and arm7 dockers work
URL: https://github.com/apache/incubator-mxnet/issues/8917
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cjolivier01 closed pull request #10007: add name
URL: https://github.com/apache/incubator-mxnet/pull/10007
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zheng-da commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r173038522
##
File path: src/operator/rnn-inl.h
##
@@ -287,8 +507,9 @@ class RNNProp : public OperatorProperty {
const
zheng-da commented on issue #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#issuecomment-371345496
@Jerryzcn can you provide the workload for speed evaluation? so later on,
other people can reproduce the result if they want.
zhanghang1989 closed pull request #10027: Fix bug/typo for Dropout using axes
URL: https://github.com/apache/incubator-mxnet/pull/10027
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alihashmiii commented on issue #8936: Issue on MXNet R installation with GPU
support on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/8936#issuecomment-371310815
Same problem here. why is not the GPU support easier for R mxnet. Python GPU
support was so much easier
sxjscience opened a new pull request #10029: Layer Norm
URL: https://github.com/apache/incubator-mxnet/pull/10029
## Description ##
1. Directly implement layer normalization in C++. The speed and memory cost
are both better than the way of stacking the broadcast/reduce OPs. Solves
aaronmarkham opened a new pull request #58: Redirect via mod_rewrite
URL: https://github.com/apache/incubator-mxnet-site/pull/58
## Description ##
Even though #57 should have kicked in I'm still seeing a 404 for:
http://mxnet.incubator.apache.org/get_started/install.html
This
pengzhao-intel commented on issue #9918: Update mkldnn to the newest & Add
clang build test with mkldnn.
URL: https://github.com/apache/incubator-mxnet/pull/9918#issuecomment-371342064
@marcoabreu @KellenSunderland @cjolivier01 please help confirm the final
changes.
And this issue will
marcoabreu commented on a change in pull request #9963: Onnx Module to import
onnx models into mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9963#discussion_r172999228
##
File path: tests/python/unittest/test_layers.py
##
@@ -50,5 +50,29 @@ def
zhanghang1989 opened a new pull request #10030: Fix bug for Dropout with axes,
also adding unit test
URL: https://github.com/apache/incubator-mxnet/pull/10030
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code
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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 098c9d9 add name (#10007)
szha commented on issue #10028: fix bug for dropout with axes
URL: https://github.com/apache/incubator-mxnet/pull/10028#issuecomment-371324917
Please post the fix and tests together.
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szha closed pull request #10028: fix bug for dropout with axes
URL: https://github.com/apache/incubator-mxnet/pull/10028
This is a PR merged from a forked repository.
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the sake of provenance:
As this is a foreign pull
sxjscience commented on issue #10029: Layer Norm
URL: https://github.com/apache/incubator-mxnet/pull/10029#issuecomment-371330053
@fhieber @tdomhan You could try this after it gets merged.
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zhanghang1989 commented on issue #10027: Fix bug/typo for Dropout using axes
URL: https://github.com/apache/incubator-mxnet/pull/10027#issuecomment-371293067
will create another one.
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alihashmiii commented on issue #8936: Issue on MXNet R installation with GPU
support on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/8936#issuecomment-371310815
I am facing the same problem here. why is not the GPU support easier for R
mxnet. Python GPU support was so
marcoabreu commented on issue #9995: CI docker revamp; Add Jetson, Raspberry
and CentOS 7 build [MXNET-42][MXNET-43][MXNET-44][MXNET-57]
URL: https://github.com/apache/incubator-mxnet/pull/9995#issuecomment-371318315
@szha @sergeykolychev @tqchen @cjolivier01 @eric-haibin-lin can you
szha closed pull request #10030: Fix bug for Dropout with axes, also adding
unit test
URL: https://github.com/apache/incubator-mxnet/pull/10030
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As
szha commented on issue #10030: Fix bug for Dropout with axes, also adding unit
test
URL: https://github.com/apache/incubator-mxnet/pull/10030#issuecomment-371349152
Thanks. Let's add a jira retroactively when you figure out how.
cjolivier01 commented on issue #9688: Adding BilinearResize2D and
AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#issuecomment-371360311
just curious, does opencv not have an optimized bilinear interpolation
resize call?
Intel makes a really fast
CoinCheung commented on a change in pull request #1: fix average pooling
kernel size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#discussion_r173058901
##
File path: tests/python/gpu/test_operator_gpu.py
##
@@ -904,86 +904,87 @@ def
eric-haibin-lin commented on a change in pull request #9988: [Perl] Sparse
feature.
URL: https://github.com/apache/incubator-mxnet/pull/9988#discussion_r173079707
##
File path: perl-package/AI-MXNet/lib/AI/MXNet/NDArray/Sparse.pm
##
@@ -0,0 +1,1342 @@
+# Licensed to the
eric-haibin-lin commented on a change in pull request #9988: [Perl] Sparse
feature.
URL: https://github.com/apache/incubator-mxnet/pull/9988#discussion_r173078142
##
File path: perl-package/AI-MXNetCAPI/mxnet.i
##
@@ -338,6 +351,37 @@ int MXNDArrayCreateEx(const mx_uint
eric-haibin-lin commented on a change in pull request #9988: [Perl] Sparse
feature.
URL: https://github.com/apache/incubator-mxnet/pull/9988#discussion_r173079068
##
File path: perl-package/AI-MXNet/t/test_kvstore.t
##
@@ -73,6 +75,93 @@ sub test_list_kv_pair
}
}
eric-haibin-lin commented on issue #10031: Sync master with v1.1.0 branch
URL: https://github.com/apache/incubator-mxnet/pull/10031#issuecomment-371350293
Looks good if README is also updated.
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sxjscience commented on a change in pull request #1: fix average pooling
kernel size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#discussion_r173059994
##
File path: tests/python/gpu/test_operator_gpu.py
##
@@ -904,86 +904,87 @@ def
zheng-da commented on a change in pull request #10025: Language model with
Google's billion words dataset
URL: https://github.com/apache/incubator-mxnet/pull/10025#discussion_r173047522
##
File path: src/operator/nn/fully_connected.cc
##
@@ -87,8 +90,16 @@ void
szha opened a new pull request #10033: correct resnet link in model zoo page
URL: https://github.com/apache/incubator-mxnet/pull/10033
## Description ##
correct resnet paper link in model zoo page
## Checklist ##
### Essentials ###
- [x] Code is well-documented:
###
fhieber commented on issue #10029: [MXNET-58]Layer Normalization in C++
URL: https://github.com/apache/incubator-mxnet/pull/10029#issuecomment-371400507
@sxjscience fantastic, thank you! We will definitely try this as soon as its
available!
Author: liuyizhi
Date: Thu Mar 8 02:04:22 2018
New Revision: 25579
Log:
remove the previous release folder (1.0.0)
Removed:
release/incubator/mxnet/1.0.0/
Author: liuyizhi
Date: Thu Mar 8 02:02:50 2018
New Revision: 25578
Log:
remove the previous release candidate folders (1.1.0.rc*)
Removed:
dev/incubator/mxnet/1.1.0.rc0/
dev/incubator/mxnet/1.1.0.rc1/
zhanghang1989 commented on issue #9688: Adding BilinearResize2D and
AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#issuecomment-371360712
@cjolivier01 I guess opencv won't support batch dimension. We have to
support 4D input (Batch x Channel x Height
sxjscience commented on a change in pull request #1: fix average pooling
kernel size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#discussion_r173062611
##
File path: tests/python/gpu/test_operator_gpu.py
##
@@ -904,86 +904,87 @@ def
szha closed pull request #10022: Fix ndarray assignment issue with basic
indexing
URL: https://github.com/apache/incubator-mxnet/pull/10022
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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 39c0fd8 Fix ndarray assignment
sxjscience commented on issue #9934: [MXNET-31] Support variable sequence
length in gluon.RecurrentCell
URL: https://github.com/apache/incubator-mxnet/pull/9934#issuecomment-371383734
@szha @piiswrong I've added the test of VariationalDropoutCell.
eric-haibin-lin commented on a change in pull request #10025: Language model
with Google's billion words dataset
URL: https://github.com/apache/incubator-mxnet/pull/10025#discussion_r173073715
##
File path: src/operator/nn/fully_connected.cc
##
@@ -87,8 +90,16 @@ void
eric-haibin-lin commented on a change in pull request #9986: gluon language
modeling dataset and text token reader
URL: https://github.com/apache/incubator-mxnet/pull/9986#discussion_r173077682
##
File path: python/mxnet/gluon/data/text/base.py
##
@@ -0,0 +1,99 @@
+#
eric-haibin-lin commented on a change in pull request #9986: gluon language
modeling dataset and text token reader
URL: https://github.com/apache/incubator-mxnet/pull/9986#discussion_r173077529
##
File path: python/mxnet/gluon/data/text/base.py
##
@@ -0,0 +1,99 @@
+#
eric-haibin-lin commented on a change in pull request #9986: gluon language
modeling dataset and text token reader
URL: https://github.com/apache/incubator-mxnet/pull/9986#discussion_r173077113
##
File path: python/mxnet/gluon/data/text/base.py
##
@@ -0,0 +1,99 @@
+#
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zhasheng pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 117c509 Fix bug for Dropout with
TaoLv commented on a change in pull request #9918: Update mkldnn to the newest
& Add clang build test with mkldnn.
URL: https://github.com/apache/incubator-mxnet/pull/9918#discussion_r173041509
##
File path: src/operator/nn/mkldnn/mkldnn_base.cc
##
@@ -237,13 +237,14 @@
TaoLv commented on issue #9152: [MXNET-37] tutorial for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9152#issuecomment-371353840
@rahul003 Thanks for your reply. I will try that. Seems some links in this
tutorial are broker:
[Training with multiple GPUs using
sxjscience commented on issue #10029: [MXNET-58]Layer Normalization in C++
URL: https://github.com/apache/incubator-mxnet/pull/10029#issuecomment-371374211
Here's the new doc of InstanceNorm
sxjscience commented on issue #10029: [MXNET-58]Layer Normalization in C++
URL: https://github.com/apache/incubator-mxnet/pull/10029#issuecomment-371374211
Here's the new doc of InstanceNorm
zihaolucky commented on issue #9990: Update tensorboard.py
URL: https://github.com/apache/incubator-mxnet/pull/9990#issuecomment-371354509
Thanks for your contribution! LGTM.
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szha opened a new pull request #10032: add axes support for dropouts in gluon
URL: https://github.com/apache/incubator-mxnet/pull/10032
## Description ##
add axes support for dropouts in gluon
## Checklist ##
### Essentials ###
- [x] Passed code style checking (`make lint`)
CoinCheung commented on a change in pull request #1: fix average pooling
kernel size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#discussion_r173060956
##
File path: tests/python/gpu/test_operator_gpu.py
##
@@ -904,86 +904,87 @@ def
eric-haibin-lin commented on a change in pull request #10025: Language model
with Google's billion words dataset
URL: https://github.com/apache/incubator-mxnet/pull/10025#discussion_r173073054
##
File path: src/operator/nn/fully_connected.cc
##
@@ -87,8 +90,16 @@ void
szha commented on a change in pull request #9986: gluon language modeling
dataset and text token reader
URL: https://github.com/apache/incubator-mxnet/pull/9986#discussion_r173085151
##
File path: python/mxnet/gluon/data/text/base.py
##
@@ -0,0 +1,99 @@
+# Licensed to the
eric-haibin-lin opened a new pull request #10034: Update an incorrect
description in the API doc.
URL: https://github.com/apache/incubator-mxnet/pull/10034
Update an incorrect description in the API doc.
This is an
eric-haibin-lin commented on issue #10025: Language model with Google's billion
words dataset
URL: https://github.com/apache/incubator-mxnet/pull/10025#issuecomment-371403506
@zihaolucky
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szha commented on a change in pull request #9986: gluon language modeling
dataset and text token reader
URL: https://github.com/apache/incubator-mxnet/pull/9986#discussion_r173084963
##
File path: python/mxnet/gluon/data/text/base.py
##
@@ -0,0 +1,99 @@
+# Licensed to the
eric-haibin-lin commented on a change in pull request #9988: [Perl] Sparse
feature.
URL: https://github.com/apache/incubator-mxnet/pull/9988#discussion_r173080890
##
File path: perl-package/AI-MXNet/lib/AI/MXNet/NDArray/Sparse.pm
##
@@ -0,0 +1,1342 @@
+# Licensed to the
rahul003 commented on a change in pull request #9933: [MXNET-23] Adding support
to profile kvstore server during distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9933#discussion_r172764504
##
File path: src/kvstore/kvstore_dist_server.h
##
@@
jeremiedb opened a new pull request #10023: R graph.viz fix
URL: https://github.com/apache/incubator-mxnet/pull/10023
As requested in #9975.
Patch for v1.1.0 seems already done (#)
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rahul003 commented on issue #9152: tutorial for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9152#issuecomment-371059065
@TaoLv Sorry I missed your comment. You can profile the worker process
similar to a single machine case.
```
eric-haibin-lin commented on issue #9921: [DISCUSSION]
module.contrib.SparseModule API
URL:
https://github.com/apache/incubator-mxnet/issues/9921#issuecomment-371033223
@anirudh2290 How much would a function call cost? I don't think static
dictionary would be a common case.. Usually you
xinyu-intel commented on issue #9918: Update mkldnn to the newest & Add clang
build test with mkldnn.
URL: https://github.com/apache/incubator-mxnet/pull/9918#issuecomment-371060912
@cjolivier01
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mseeger commented on issue #9982: Unary ops logcdf_normal, derivlogcdf_normal
for log CDF of standard n?
URL: https://github.com/apache/incubator-mxnet/pull/9982#issuecomment-371070814
@piiswrong
Tensorflow has log_cdf in tf.distributions.Normal, see
jeremiedb commented on issue #9803: R Metrics
URL: https://github.com/apache/incubator-mxnet/pull/9803#issuecomment-371074856
Sure, solving the root cause is definitely preferable. Help would however be
welcomed to track the memory leak; I'm lacking resources to do so.
Given there
zlin3000 opened a new pull request #10024: fixed calling error while preparing
data in ssd
URL: https://github.com/apache/incubator-mxnet/pull/10024
fixed calling error while calling im2rec.py in prepare_dataset.py
add threads support in prepare_dataset.py
## Description ##
wkcn commented on issue #9939: add multi proposal operator (cpu version) and
fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#issuecomment-371060094
@CodingCat I will read it. Thank you!
jeremiedb commented on issue #9967: Error in output.shape[[output.names]]
URL:
https://github.com/apache/incubator-mxnet/issues/9967#issuecomment-371073140
`mx.model.FeedForward.create` is a function intended for training of the
model, it is therefore expected to have a label passed as
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marcoabreu pushed a commit to branch v1.0.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.0.0 by this push:
new 3df9bf8 R graph.viz fix (#10023)
marcoabreu closed pull request #10023: R graph.viz fix
URL: https://github.com/apache/incubator-mxnet/pull/10023
This is a PR merged from a forked repository.
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As this is a foreign pull request
eric-haibin-lin opened a new pull request #10025: Language model with Google's
billion words dataset
URL: https://github.com/apache/incubator-mxnet/pull/10025
## Description ##
This example reproduces the result (~42 perplexity) on [Exploring the Limits
of Language
Ldpe2G commented on issue #9984: [MXNET-38]add reshape predicator function to
c_predict_api
URL: https://github.com/apache/incubator-mxnet/pull/9984#issuecomment-371159253
@cjolivier01 I have updated the pr
This is an
marcoabreu commented on issue #10020: How can I build C++ package?
URL:
https://github.com/apache/incubator-mxnet/issues/10020#issuecomment-371121048
@aaronmarkham see comment about website
This is an automated message from
asitstands closed pull request #9991: Random shuffle implementation
URL: https://github.com/apache/incubator-mxnet/pull/9991
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
asitstands commented on issue #9991: Random shuffle implementation
URL: https://github.com/apache/incubator-mxnet/pull/9991#issuecomment-371105396
Ok, I'll make a new PR with an implementation complying to numpy.
This is an
edmBernard commented on issue #10020: How can I build C++ package?
URL:
https://github.com/apache/incubator-mxnet/issues/10020#issuecomment-37564
You can use this parameter when you run your make command :
`USE_CPP_PACKAGE=1`
marcoabreu commented on issue #9906: Add CPU optimized docker which will be
compiled with MKL-DNN
URL: https://github.com/apache/incubator-mxnet/pull/9906#issuecomment-371115687
I can really only speak from a CI perspective, maybe @eric-haibin-lin or
@szha could shed a bit of light into
marcoabreu commented on issue #9803: R Metrics
URL: https://github.com/apache/incubator-mxnet/pull/9803#issuecomment-371117644
I understand. In that case I'm fine with merging as long as the problem is
tracked somewhere.
TaoLv commented on a change in pull request #10025: Language model with
Google's billion words dataset
URL: https://github.com/apache/incubator-mxnet/pull/10025#discussion_r172866473
##
File path: src/operator/nn/fully_connected.cc
##
@@ -214,9 +238,7 @@ If ``no_bias`` is
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