katrinleinweber opened a new pull request #9318: simplify import of citation
metadata
URL: https://github.com/apache/incubator-mxnet/pull/9318
This is a copy of the BibTeX snippet from https://arxiv.org/abs/1512.01274
incorporated into the repo as suggested in
https://www.software.ac.uk/b
cookingbear opened a new issue #9317: why's the function asnumpy() so slow?
URL: https://github.com/apache/incubator-mxnet/issues/9317
I tried the speech_recognition example but found out that the last step
below(pred = pred.asnumpy()) slow down the process. why's that?
`def upda
adaa commented on issue #8671: Discussion and troubleshooting on PyPI (pip)
installation
URL:
https://github.com/apache/incubator-mxnet/issues/8671#issuecomment-355477966
cu90?cu91???benchmark??
This is an automated
jeremiedb commented on issue #4817: Fine-tune with R API
URL:
https://github.com/apache/incubator-mxnet/issues/4817#issuecomment-355477273
@lichen11, please see answer in #7968
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jeremiedb commented on issue #7968: [R] Transfer Learning using VGG-16
URL:
https://github.com/apache/incubator-mxnet/issues/7968#issuecomment-355477039
Just made a few tests with different ResNet models and I also experienced
crashes.
Issue appears tied with a memory that isn't re
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haibin pushed a commit to branch master
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new df9f79a standard update for sparse sgd
eric-haibin-lin closed pull request #9189: standard update for sparse
sgd_mom_update
URL: https://github.com/apache/incubator-mxnet/pull/9189
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As thi
feevos opened a new issue #9316: bug in parameter default values of
gluon.loss.Loss
URL: https://github.com/apache/incubator-mxnet/issues/9316
## Description
(I think!) there is a bug in the default values of the parameters
```weight``` and ```batch_axis``` of the module ```gluon.lo
piiswrong commented on a change in pull request #9283: Fix custom op multi-gpu
scaling
URL: https://github.com/apache/incubator-mxnet/pull/9283#discussion_r159808070
##
File path: src/operator/custom/custom-inl.h
##
@@ -63,11 +64,80 @@ class Registry {
return nullptr;
anirudh2290 commented on a change in pull request #9283: Fix custom op
multi-gpu scaling
URL: https://github.com/apache/incubator-mxnet/pull/9283#discussion_r159801209
##
File path: src/operator/custom/custom-inl.h
##
@@ -63,11 +64,80 @@ class Registry {
return nullpt
Imshepherd commented on issue #8042: Convert network written in json format to
mxnet symbol code?
URL:
https://github.com/apache/incubator-mxnet/issues/8042#issuecomment-355457738
https://github.com/Imshepherd/MxNetR-Convert-json-to-symbol
Example code which I wrote for R.
ZiyueHuang commented on issue #9310: model using contrib.SparseEmbedding
returns inconsistent result between runs
URL:
https://github.com/apache/incubator-mxnet/issues/9310#issuecomment-355453091
Not sure. I have tried MF example using `mx.random.seed(0)` and
`np.random.seed(0)`, the resu
lupesko commented on issue #9315: Refactor mxnet-scala code/tests/examples/docs
to use "org.apache.mxnet" instead of "ml.dmlc.mxnet".
URL:
https://github.com/apache/incubator-mxnet/issues/9315#issuecomment-355450484
Looks good - thanks for picking this up!
@nswamy please apply label
juliusshufan commented on a change in pull request #9305: Fixing two symbol
files for CNN
URL: https://github.com/apache/incubator-mxnet/pull/9305#discussion_r159794950
##
File path: example/image-classification/symbols/googlenet.py
##
@@ -65,7 +65,7 @@ def get_symbol(num_
lichen11 commented on issue #4817: Fine-tune with R API
URL:
https://github.com/apache/incubator-mxnet/issues/4817#issuecomment-355448008
Hi, I recently attempted fine-tuning ResNet101 based on your comments.
However, when I initiate training (using GPU), R outputs the following msg:
juliusshufan commented on a change in pull request #9305: Fixing two symbol
files for CNN
URL: https://github.com/apache/incubator-mxnet/pull/9305#discussion_r159794950
##
File path: example/image-classification/symbols/googlenet.py
##
@@ -65,7 +65,7 @@ def get_symbol(num_
juliusshufan commented on a change in pull request #9305: Fixing two symbol
files for CNN
URL: https://github.com/apache/incubator-mxnet/pull/9305#discussion_r159793640
##
File path: example/image-classification/symbols/vgg.py
##
@@ -62,8 +62,12 @@ def get_symbol(num_class
szha commented on issue #9313: Fix CODEOWNERS syntax
URL: https://github.com/apache/incubator-mxnet/pull/9313#issuecomment-355440501
Relevant github doc https://help.github.com/articles/about-codeowners/
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szha closed pull request #9313: Fix CODEOWNERS syntax
URL: https://github.com/apache/incubator-mxnet/pull/9313
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new 9be50e0 Fix CODEOWNERS syntax (#9313
Roshrini opened a new issue #9315: Refactor mxnet-scala
code/tests/examples/docs to use "org.apache.mxnet" instead of "ml.dmlc.mxnet".
URL: https://github.com/apache/incubator-mxnet/issues/9315
## Description
Currently, MXNet-Scala library uses "ml.dmlc.mxnet" packages. As mxnet is
unde
zheng-da commented on issue #8302: Refactor operators & MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-353705559
Remaining MKLDNN-related tasks before merging the PR.
- [ ] Speedup inference with batch size 1. The goal is to reach the speed of
old.mkldnn. Th
yuruofeifei commented on issue #8964: Fix example/module folder and remove
duplicate examples
URL: https://github.com/apache/incubator-mxnet/pull/8964#issuecomment-355420085
@piiswrong @aaronmarkham can you please review?
Remove some redundant tutorial files.
---
eric-haibin-lin opened a new issue #9314: nd.pick core dumps on large array
URL: https://github.com/apache/incubator-mxnet/issues/9314
```
ubuntu@ip-172-31-13-31:~/mxnet$ python
Python 2.7.12 (default, Nov 20 2017, 18:23:56)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright"
marcoabreu opened a new pull request #9313: Fix CODEOWNERS syntax
URL: https://github.com/apache/incubator-mxnet/pull/9313
According to https://github.com/apache/incubator-mxnet, the notation /dir/
is necessary in order to cover all subdirectories. At the moment, only files on
the first le
szha closed pull request #9312: test ci code owner
URL: https://github.com/apache/incubator-mxnet/pull/9312
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zhasheng pushed a commit to branch szha-patch-1
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new bbc79bd Update README.md
szha opened a new pull request #9312: test ci code owner
URL: https://github.com/apache/incubator-mxnet/pull/9312
## Description ##
(Brief description on what this PR is about)
@marcoabreu
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
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new 1602b12 Add Marco de Abreu to CODEOW
szha closed pull request #9309: Add Marco de Abreu to CODEOWNERS related to CI
URL: https://github.com/apache/incubator-mxnet/pull/9309
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szha commented on issue #9309: Add Marco de Abreu to CODEOWNERS related to CI
URL: https://github.com/apache/incubator-mxnet/pull/9309#issuecomment-355406701
I agree that people who contributed and are familiar with the CI should be
notified of changes to make sure the CI runs smoothly. Thi
machuck commented on issue #8962: Please add windows python package for 1.0.0
and 0.12.1 on PyPI
URL:
https://github.com/apache/incubator-mxnet/issues/8962#issuecomment-355403734
find all versions by:
`pip search mxnet`
For cpu only version
`pip install keras-mxnet`
-
aaronmarkham commented on issue #9145: Docs build fails on master
URL:
https://github.com/apache/incubator-mxnet/issues/9145#issuecomment-355402284
The docs are built in a Docker container. With the latest build from master,
Docker hits a memory limit which causes the build to fail, and th
aaronmarkham closed issue #9145: Docs build fails on master
URL: https://github.com/apache/incubator-mxnet/issues/9145
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sxjscience commented on issue #9310: model using contrib.SparseEmbedding
returns inconsistent result between runs
URL:
https://github.com/apache/incubator-mxnet/issues/9310#issuecomment-355398375
The result of summation would depend on the order of the additions because
float32 has limite
eric-haibin-lin commented on issue #9310: model using contrib.SparseEmbedding
returns inconsistent result between runs
URL:
https://github.com/apache/incubator-mxnet/issues/9310#issuecomment-355397586
Why would the result of `atomicAdd ` non-deterministic? Isn't it atomic?
---
sxjscience commented on issue #9310: model using contrib.SparseEmbedding
returns inconsistent result between runs
URL:
https://github.com/apache/incubator-mxnet/issues/9310#issuecomment-355397275
OK, I've missed the GPU part. The result of atomicAdd would be
non-deterministic. However, th
eric-haibin-lin commented on issue #9310: model using contrib.SparseEmbedding
returns inconsistent result between runs
URL:
https://github.com/apache/incubator-mxnet/issues/9310#issuecomment-355395924
The GPU kernel is using atomic add :
https://github.com/apache/incubator-mxnet/blob/mast
cbalioglu opened a new pull request #9311: Prepend LD_LIBRARY_PATH to dll_path
in find_lib_path
URL: https://github.com/apache/incubator-mxnet/pull/9311
## Description ##
The paths contained in the LD_LIBRARY_PATH environment variable should have
the highest priority while searching for
sxjscience commented on issue #9310: model using contrib.SparseEmbedding
returns inconsistent result between runs
URL:
https://github.com/apache/incubator-mxnet/issues/9310#issuecomment-355395149
Looks like again the atomicAdd problem
https://github.com/apache/incubator-mxnet/blob/master/
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new 5585393 Fix the gradient of gather
marcoabreu commented on issue #9296: Disable test_operator.test_laop_3 (temp
fix #9295)
URL: https://github.com/apache/incubator-mxnet/pull/9296#issuecomment-355388353
Totally agree and that's why I have asked Steffen to put this on the
usability sprint for last month. Unfortunately, these
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liuyizhi pushed a commit to branch v1.0.0
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new e4ff7c5 bugfix for parallel rand gen
lichen11 commented on issue #7968: [R] Transfer Learning using VGG-16
URL:
https://github.com/apache/incubator-mxnet/issues/7968#issuecomment-355379685
Hi, I recently attempted transfer learning on ResNet101. I only retrain the
last fully connected layer.
resnet101<- mx.model.l
pracheer commented on issue #8339: data iterators tutorial errors
URL:
https://github.com/apache/incubator-mxnet/issues/8339#issuecomment-355379267
This is due to the behavior of zip function which was changed in python 3.
Will try to send a PR for this in a couple of days.
---
szha commented on issue #9284: error on the print(net.weight)
URL:
https://github.com/apache/incubator-mxnet/issues/9284#issuecomment-355378955
Yes, this has been fixed in the latest version
https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/parameter.py#L120
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new d918868 Fix the gradient of gather_nd (#
piiswrong closed pull request #9200: Fix the gradient of gather_nd
URL: https://github.com/apache/incubator-mxnet/pull/9200
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new c3616ed Add label_from_zero_one argument
piiswrong closed pull request #9265: Add label_from_zero_one argument to
LogisticLoss
URL: https://github.com/apache/incubator-mxnet/pull/9265
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piiswrong closed pull request #9290: add epoch parameter to export() of
HybridBlock
URL: https://github.com/apache/incubator-mxnet/pull/9290
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new 4988535 add epoch parameter to export()
gamenn commented on issue #9294: Trouble installing on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/9294#issuecomment-355189033
@zhreshold What exactly are the path variable names MXNet looks for? And
what exactly are the dlls it needs? I verified that the path on my machi
gamenn commented on issue #9294: Trouble installing on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/9294#issuecomment-355189033
@zhreshold What exactly are the path variable names MXNet looks for? And
what exactly are the dlls it needs? I verified that the path on my machi
eric-haibin-lin commented on issue #9284: error on the print(net.weight)
URL:
https://github.com/apache/incubator-mxnet/issues/9284#issuecomment-355369790
@szha was this fixed?
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piiswrong commented on issue #9296: Disable test_operator.test_laop_3 (temp fix
#9295)
URL: https://github.com/apache/incubator-mxnet/pull/9296#issuecomment-355369010
We've removed many tests, but AFAIK none has been fixed and reintroduced.
This doesn't look good.
piiswrong commented on a change in pull request #9305: Fixing two symbol files
for CNN
URL: https://github.com/apache/incubator-mxnet/pull/9305#discussion_r159729629
##
File path: example/image-classification/symbols/vgg.py
##
@@ -62,8 +62,12 @@ def get_symbol(num_classes,
piiswrong commented on a change in pull request #9305: Fixing two symbol files
for CNN
URL: https://github.com/apache/incubator-mxnet/pull/9305#discussion_r159729510
##
File path: example/image-classification/symbols/googlenet.py
##
@@ -65,7 +65,7 @@ def get_symbol(num_cla
eric-haibin-lin opened a new issue #9310: model using contrib.SparseEmbedding
returns inconsistent result between runs
URL: https://github.com/apache/incubator-mxnet/issues/9310
Note: Providing complete information in the most concise form is the best
way to get help. This issue template s
KellenSunderland commented on issue #9055: Re-enable all op segments when in
batch mode
URL: https://github.com/apache/incubator-mxnet/pull/9055#issuecomment-355358324
Ok, don't merge just yet, I'll fix indentation.
Edit: should be fixed.
gamenn commented on issue #9294: Trouble installing on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/9294#issuecomment-355189033
@zhreshold What exactly are the path variable names MXNet looks for? And
what exactly are the dlls it needs?
---
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159721991
##
File path: src/operator/optimizer_op.cc
##
@@ -35,6 +35,74 @@ DMLC_REGISTER_PARAMETER(AdamParam);
DMLC_REGISTER_PARAMETE
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159722018
##
File path: src/operator/optimizer_op.cc
##
@@ -35,6 +35,74 @@ DMLC_REGISTER_PARAMETER(AdamParam);
DMLC_REGISTER_PARAMETE
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159722025
##
File path: src/operator/optimizer_op.cc
##
@@ -35,6 +35,74 @@ DMLC_REGISTER_PARAMETER(AdamParam);
DMLC_REGISTER_PARAMETE
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159722059
##
File path: src/operator/optimizer_op.cu
##
@@ -28,6 +28,14 @@
namespace mxnet {
namespace op {
+NNVM_REGISTER_OP(sign
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159721999
##
File path: src/operator/optimizer_op.cc
##
@@ -35,6 +35,74 @@ DMLC_REGISTER_PARAMETER(AdamParam);
DMLC_REGISTER_PARAMETE
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159722050
##
File path: src/operator/optimizer_op.cc
##
@@ -35,6 +35,74 @@ DMLC_REGISTER_PARAMETER(AdamParam);
DMLC_REGISTER_PARAMETE
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159722035
##
File path: src/operator/optimizer_op.cc
##
@@ -35,6 +35,74 @@ DMLC_REGISTER_PARAMETER(AdamParam);
DMLC_REGISTER_PARAMETE
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159721868
##
File path: python/mxnet/optimizer.py
##
@@ -529,6 +534,69 @@ def update_multi_precision(self, index, weight, grad,
state
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159721842
##
File path: python/mxnet/optimizer.py
##
@@ -57,6 +58,10 @@ class Optimizer(object):
The weight decay (or L2 regu
KellenSunderland commented on issue #9055: Re-enable all op segments when in
batch mode
URL: https://github.com/apache/incubator-mxnet/pull/9055#issuecomment-355358324
Ok, don't merge just yet, I'll fix indentation.
This is a
marcoabreu commented on issue #9300: bugfix for parallel rand generator on
multi-gpu
URL: https://github.com/apache/incubator-mxnet/pull/9300#issuecomment-355357167
The CUDA library is going to be needed anyways, right? So that shouldn't be
an issue. Couldn't this be achieved by trying to
marcoabreu commented on issue #9296: Disable test_operator.test_laop_3 (temp
fix #9295)
URL: https://github.com/apache/incubator-mxnet/pull/9296#issuecomment-355356394
I haven't had time to investigate this issue yet and did not contact the
author. @KellenSunderland @larroy what do you guy
cjolivier01 commented on issue #9300: bugfix for parallel rand generator on
multi-gpu
URL: https://github.com/apache/incubator-mxnet/pull/9300#issuecomment-355355959
I am not aware of an API call for that from python. One would need to be
created, which would also force the CUDA library to
eric-haibin-lin commented on a change in pull request #9055: Re-enable all op
segments when in batch mode
URL: https://github.com/apache/incubator-mxnet/pull/9055#discussion_r159717876
##
File path: src/executor/graph_executor.cc
##
@@ -1406,13 +1416,33 @@ void GraphExecut
eric-haibin-lin commented on a change in pull request #9055: Re-enable all op
segments when in batch mode
URL: https://github.com/apache/incubator-mxnet/pull/9055#discussion_r159717666
##
File path: src/executor/graph_executor.cc
##
@@ -1370,20 +1380,20 @@ void GraphExecut
eric-haibin-lin commented on a change in pull request #9055: Re-enable all op
segments when in batch mode
URL: https://github.com/apache/incubator-mxnet/pull/9055#discussion_r159717980
##
File path: src/executor/graph_executor.cc
##
@@ -1348,17 +1348,27 @@ void GraphExecut
cjolivier01 commented on issue #9296: Disable test_operator.test_laop_3 (temp
fix #9295)
URL: https://github.com/apache/incubator-mxnet/pull/9296#issuecomment-355354373
This is an lapack test, right? If so, is it on the lapack author's to-do
list? Has any investigation been done? I'm co
eric-haibin-lin commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159717200
##
File path: src/operator/optimizer_op-inl.h
##
@@ -1088,6 +1090,146 @@ inline void FtrlUpdateEx(const nnvm::NodeAtt
eric-haibin-lin closed pull request #9303: fix wide&deep
URL: https://github.com/apache/incubator-mxnet/pull/9303
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new 5e587e5 fix w&d (#9303)
5e587e5 is des
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new 469955d Increase timeout for GIT
cjolivier01 closed issue #9297: git checkout on windows slaves times out
URL: https://github.com/apache/incubator-mxnet/issues/9297
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cjolivier01 closed pull request #9298: Increase timeout for GIT on windows (Fix
#9297)
URL: https://github.com/apache/incubator-mxnet/pull/9298
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marcoabreu commented on issue #9300: bugfix for parallel rand generator on
multi-gpu
URL: https://github.com/apache/incubator-mxnet/pull/9300#issuecomment-355353106
Relying on nvidia-smi could cause issues as behaviour on windows and unix
tend to differ. It should be possible to get the nu
marcoabreu opened a new pull request #9309: Add Marco de Abreu to CODEOWNERS
related to CI
URL: https://github.com/apache/incubator-mxnet/pull/9309
There have been unreviewed changes like
https://github.com/apache/incubator-mxnet/commit/d0388d00d5959d96341129a40ab21264476dfda6
to CI-relat
yuxiangw commented on a change in pull request #9220: Signum optimizer
URL: https://github.com/apache/incubator-mxnet/pull/9220#discussion_r159714768
##
File path: src/operator/optimizer_op-inl.h
##
@@ -1088,6 +1090,146 @@ inline void FtrlUpdateEx(const nnvm::NodeAttrs& att
mwbyeon commented on issue #9308: batch size in inference
URL:
https://github.com/apache/incubator-mxnet/issues/9308#issuecomment-355328275
This is an example.
1. Set the shape of input data with batch size. `(batch_size, channel,
height, width)`
https://github.com/apache/incub
mwbyeon commented on issue #9308: batch size in inference
URL:
https://github.com/apache/incubator-mxnet/issues/9308#issuecomment-355328275
This is an example.
1. Set the shape of input data with batch size. `(batch_size, channel,
height, width)`
https://github.com/apache/incub
mwbyeon commented on issue #9308: batch size in inference
URL:
https://github.com/apache/incubator-mxnet/issues/9308#issuecomment-355328275
This is an example.
Fist, Set the shape of input data with batch size. `(batch_size, channel,
height, width)`
https://github.com/apache/in
KellenSunderland commented on issue #9055: Re-enable all op segments when in
batch mode
URL: https://github.com/apache/incubator-mxnet/pull/9055#issuecomment-355328018
Rebased.
Would also be great if you could have a look @larroy
gamenn commented on issue #9294: Trouble installing on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/9294#issuecomment-355189033
What exactly are the path variable names MXNet looks for? And what exactly
are the dlls it needs?
cjolivier01 commented on issue #9300: bugfix for parallel rand generator on
multi-gpu
URL: https://github.com/apache/incubator-mxnet/pull/9300#issuecomment-355314141
For example, run nvidia-smi -L and count number of lines returned which
start with "GPU [0-9]+" or something like that
cjolivier01 commented on issue #9300: bugfix for parallel rand generator on
multi-gpu
URL: https://github.com/apache/incubator-mxnet/pull/9300#issuecomment-355313475
Current test machines in CI have at least two GPUs. However, you will need
to detect GPU count in the unit test because when
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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 661bcef bugfix for parallel rand
cjolivier01 closed pull request #9300: bugfix for parallel rand generator on
multi-gpu
URL: https://github.com/apache/incubator-mxnet/pull/9300
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 t
BenLag2906 opened a new issue #9308: batch size in inference
URL: https://github.com/apache/incubator-mxnet/issues/9308
I work with your version of mxnet under windows in c++.
I have heard of it was possible to make inference/prediction with a batch
size. This practise is usually onl
asmushetzel commented on issue #8456: setting OMP_NUM_THREADS doesn't improve
performance with MKL2017
URL:
https://github.com/apache/incubator-mxnet/issues/8456#issuecomment-355293256
MKL does multithreading internally (also based on openmp, but not controlled
by above environment variab
KeyKy closed issue #9289: How to get the symbol type?
URL: https://github.com/apache/incubator-mxnet/issues/9289
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KeyKy commented on issue #9289: How to get the symbol type?
URL:
https://github.com/apache/incubator-mxnet/issues/9289#issuecomment-355279353
THX!
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