jeremiedb opened a new issue #9136: Autograd in R-package
URL: https://github.com/apache/incubator-mxnet/issues/9136
Has there been an attempt to add autograd functionnalities into the
R-package?
I couldn't find anything, other than the internal.backward NDArray functions
that are expo
rahul003 commented on issue #8830: Is there a tutorial about how to use kvstore
in multiple machines?
URL:
https://github.com/apache/incubator-mxnet/issues/8830#issuecomment-352651227
Hi guys, I have written down a tutorial for distributed training. Let me
know if this answers your questi
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omit 8fcfd24 Fix nadam
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commit c74e14f2344ffc02f4e9fc5b7de993ce43d0ecd5
Author: Sheng Zha
AuthorDate: Mon Dec 18 13:37:41 2017 -0800
reminisce commented on issue #9131: random_uniform causes VM to crash
URL:
https://github.com/apache/incubator-mxnet/issues/9131#issuecomment-352654184
Agree that crashing the vm is not a desired behavior. Need to add exception
handling in frontend.
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rahul003 commented on issue #8830: Is there a tutorial about how to use kvstore
in multiple machines?
URL:
https://github.com/apache/incubator-mxnet/issues/8830#issuecomment-352651227
Hi guys, I have written down a tutorial for distributed training. Let me
know if this answers your questi
rahul003 commented on issue #8830: Is there a tutorial about how to use kvstore
in multiple machines?
URL:
https://github.com/apache/incubator-mxnet/issues/8830#issuecomment-352651227
Hi guys, I have written down a tutorial for distributed training. Let me
know if this answers your questi
rahul003 opened a new pull request #9135: tutorial for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9135
## Description ##
This PR adds a step by step tutorial for distributed training.
It covers
- how distributed training works
- how to run distribu
wangdi1983 opened a new issue #9134: How to run a mxnet example using GPU on
Jetson TX1?
URL: https://github.com/apache/incubator-mxnet/issues/9134
1. When I try running a mxnet example using GPU on my Jetson TX1 board, such
as:
nvidia@tegra-ubuntu:~/mxnet/example/image-classif
marfago commented on issue #9131: random_uniform causes VM to crash
URL:
https://github.com/apache/incubator-mxnet/issues/9131#issuecomment-352649429
I think that crashing the VM because of wrong parameters should not be the
right behavior. The expected one should be a python exception.
-
marfago commented on issue #9131: random_uniform causes VM to crash
URL:
https://github.com/apache/incubator-mxnet/issues/9131#issuecomment-352649429
I think that crashing the VM because of wrong parameters should not be the
right behavior. The right expected behavior should be a python ex
marfago commented on issue #9131: random_uniform causes VM to crash
URL:
https://github.com/apache/incubator-mxnet/issues/9131#issuecomment-352649429
I think that crashing the VM because of wrong parameters should not be
considered a consistent behavior. The right expected behavior should
marfago commented on issue #9131: random_uniform causes VM to crash
URL:
https://github.com/apache/incubator-mxnet/issues/9131#issuecomment-352649429
I think that crashing the VM because of wrong parameter should not be
considered a consistent behavior. The right expected behavior should b
KeyKy opened a new issue #9133: whether an operator inplace or not inplace? How
do i know?
URL: https://github.com/apache/incubator-mxnet/issues/9133
mx.sym.reshape
mx.sym.expand_dims
...
and so on
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huyangc closed issue #9120: Are there any params replications on Parameter
Servers?
URL: https://github.com/apache/incubator-mxnet/issues/9120
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huyangc commented on issue #9120: Are there any params replications on
Parameter Servers?
URL:
https://github.com/apache/incubator-mxnet/issues/9120#issuecomment-352648501
Thanks a lot!
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reminisce commented on issue #9116: unit test
test_ndarray.test_ndarray_indexing fails
URL:
https://github.com/apache/incubator-mxnet/issues/9116#issuecomment-352645456
I was not able to reproduce the error on Ubuntu and MacOS. Will dig deeper.
reminisce commented on issue #9131: random_uniform causes VM to crash
URL:
https://github.com/apache/incubator-mxnet/issues/9131#issuecomment-352645276
In this case, low=3, high=1, raising an error is consistent with NumPy's
random.uniform definition.
[When high == low, values of lo
piiswrong closed pull request #9126: fix multi worker dataloader deadlock
URL: https://github.com/apache/incubator-mxnet/pull/9126
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piiswrong closed pull request #9128: Fix example/reinforcement-learning/dqn
URL: https://github.com/apache/incubator-mxnet/pull/9128
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Soonhwan-Kwon commented on issue #9060: Remove defunct demo
URL: https://github.com/apache/incubator-mxnet/pull/9060#issuecomment-352639578
@piiswrong @simoncorstonoliver I'm afraid that you've confused the author
who wrote the speech-demo example(maybe pluskid?). The example I've made is
yajiedesign opened a new pull request #9132: warning autotune show once
URL: https://github.com/apache/incubator-mxnet/pull/9132
## Description ##
show warning autotune only once
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
- [x] Chang
zhanghang1989 commented on issue #7938: instance norm and reflection padding
URL: https://github.com/apache/incubator-mxnet/pull/7938#issuecomment-352633874
@piiswrong @szha Hi guys, sorry for the delay. I just made some changes.
sxjscience commented on issue #9098: MXNet crashes when scipy.stats is imported
first
URL:
https://github.com/apache/incubator-mxnet/issues/9098#issuecomment-352633806
It's because the scipy loads the libs related to malloc first. One solution
is to `import mxnet` and then `import scipy.s
sxjscience closed issue #9098: MXNet crashes when scipy.stats is imported first
URL: https://github.com/apache/incubator-mxnet/issues/9098
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marfago opened a new issue #9131: random_uniform causes VM to crash
URL: https://github.com/apache/incubator-mxnet/issues/9131
The code ``` nd.random_uniform(3)``` crashes with
```
[19:51:29]
/Users/travis/build/dmlc/mxnet-distro/mxnet-build/dmlc-core/include/dmlc/logging.h:308:
[19
reminisce commented on issue #9130: Inconsistent behavior of NDArray Indexing
URL:
https://github.com/apache/incubator-mxnet/issues/9130#issuecomment-352632052
For efficient indexing, `__getitem__` slicing would create a view if the
sliced elements are contiguous in memory, or a copy if th
eldercrow commented on issue #8925: Is nadam optimizer correctly implemented?
URL:
https://github.com/apache/incubator-mxnet/issues/8925#issuecomment-352631365
Thanks! I will close the issue.
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eldercrow closed issue #8925: Is nadam optimizer correctly implemented?
URL: https://github.com/apache/incubator-mxnet/issues/8925
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szha commented on issue #9130: Inconsistent behavior of NDArray Indexing
URL:
https://github.com/apache/incubator-mxnet/issues/9130#issuecomment-352625949
@reminisce
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commit 8fcfd24ecd347ae247476765988af473c1b275ae
Author: Sheng Zha
AuthorDate: Mon Dec 18 13:37:41 2017 -0800
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zhasheng pushed a change to branch szha-patch-1
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omit bf48e14 Fix nadam
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safrooze opened a new issue #9130: Inconsistent behavior of NDArray Indexing
URL: https://github.com/apache/incubator-mxnet/issues/9130
## Description
`NDArray.__getitem__` has an undocumented and inconsistent behavior with
respect to creating a copy or not. Depending on how indexing is
fanlu commented on issue #8861: The first GPU cost more memory than the others
in version 0.12.1
URL:
https://github.com/apache/incubator-mxnet/issues/8861#issuecomment-352621939
@eric-haibin-lin When I use one gpu and batch size 30,the nvidia-smi log is
+-
fanlu commented on issue #8861: The first GPU cost more memory than the others
in version 0.12.1
URL:
https://github.com/apache/incubator-mxnet/issues/8861#issuecomment-352621939
When I use one gpu and batch size 30,the nvidia-smi log is
+---
thirdwing commented on issue #9022: R RNN API fixes and Optimizer clip gradient
on NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9022#issuecomment-352615999
Can you also update the code in
https://github.com/dmlc/dmlc.github.io/blob/master/_posts/2017-10-11-rnn-bucket-mxnet-R
javelinjs commented on issue #8971: Clojure Library for mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/8971#issuecomment-352615413
I don't know whether Clojure has approaches for auto code-generation, like
Scala macros. Otherwise it may be difficult to auto pick operators from
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new 16bd961 Usability fixes for examples (#90
sandeep-krishnamurthy closed pull request #9091: Usability fixes for examples
URL: https://github.com/apache/incubator-mxnet/pull/9091
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sxjscience opened a new pull request #9129: add tests for distribution
generators
URL: https://github.com/apache/incubator-mxnet/pull/9129
## Description ##
Add the tests required in testing
https://github.com/apache/incubator-mxnet/pull/9119
## Checklist ##
### Essentials ###
sxjscience commented on issue #9128: Fix example/reinforcement-learning/dqn
URL: https://github.com/apache/incubator-mxnet/pull/9128#issuecomment-352604304
@mbaijal Can it be run using the AMI after these changes?
This is an a
sxjscience commented on a change in pull request #9128: Fix
example/reinforcement-learning/dqn
URL: https://github.com/apache/incubator-mxnet/pull/9128#discussion_r157639569
##
File path: example/reinforcement-learning/dqn/base.py
##
@@ -135,7 +135,7 @@ def switch_bucket(s
mbaijal commented on a change in pull request #9128: Fix
example/reinforcement-learning/dqn
URL: https://github.com/apache/incubator-mxnet/pull/9128#discussion_r157638972
##
File path: example/reinforcement-learning/dqn/base.py
##
@@ -135,7 +135,7 @@ def switch_bucket(self
mbaijal commented on issue #9128: Fix example/reinforcement-learning/dqn
URL: https://github.com/apache/incubator-mxnet/pull/9128#issuecomment-352602728
@sxjscience Can you please help me review the changes here.
Thanks.
T
mbaijal opened a new pull request #9128: Fix example/reinforcement-learning/dqn
URL: https://github.com/apache/incubator-mxnet/pull/9128
## Description ##
- This example was not compatible with python3. I made necessary changes.
- I also updated the README with the Pre-reqs I need
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omit 2f53477 Fix nadam
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sxjscience commented on issue #9119: fix random generator: do not gen seed each
time
URL: https://github.com/apache/incubator-mxnet/pull/9119#issuecomment-352572070
@javelinjs The updated gist here
https://gist.github.com/sxjscience/453605a1ea3102bc0010f9fb16df8238 tests all
the available
eric-haibin-lin commented on issue #8861: The first GPU cost more memory than
the others in version 0.12.1
URL:
https://github.com/apache/incubator-mxnet/issues/8861#issuecomment-352565114
If you fix batch size per GPU(120/4=30), and try different number of GPUs,
does the first GPU always
anirudh2290 commented on a change in pull request #8000: Docs changes for
launch.py usage
URL: https://github.com/apache/incubator-mxnet/pull/8000#discussion_r157604179
##
File path: docs/faq/multi_devices.md
##
@@ -148,6 +148,14 @@ Note that here we
- `-n` number of work
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omit 0bfdd39 Fix nadam
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commit 3336d77f17c219ea0a034a83394b361e488f577e
Author: Sheng Zha
AuthorDate: Mon Dec 18 13:08:18 2017 -0800
eric-haibin-lin commented on issue #8500: program crash when run sparse model
predict
URL:
https://github.com/apache/incubator-mxnet/issues/8500#issuecomment-352560482
@liumilan I don't know why your profiler doesn't show SGD optimizer at all.
That's very strange. How did you compile MXNe
szha commented on issue #8925: Is nadam optimizer correctly implemented?
URL:
https://github.com/apache/incubator-mxnet/issues/8925#issuecomment-352560511
Thanks for reporting, @eldercrow . This is indeed a bug. The linked pull
request should fix this issue.
--
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commit 0bfdd39bb862bb94b13370e88c402ce52fb5d1b3
Author: Sheng Zha
AuthorDate: Mon Dec 18 13:08:18 2017 -0800
szha opened a new pull request #9127: Fix nadam
URL: https://github.com/apache/incubator-mxnet/pull/9127
## Description ##
Fix the wrong grad preprocessing reported in #8925
## Checklist ##
### Essentials ###
- [x] Passed code style checking (`make lint`)
- [ ] Changes ar
aidan-plenert-macdonald closed issue #8148: How do I interpret the JSON compute
graph?
URL: https://github.com/apache/incubator-mxnet/issues/8148
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anirudh2290 commented on a change in pull request #9124: Removing the
PYTHONPATH inserts from the examples to avoid portabiliity issues.
URL: https://github.com/apache/incubator-mxnet/pull/9124#discussion_r157599737
##
File path: example/ctc/ocr_predict.py
##
@@ -21,8 +21,
marfago commented on issue #9117: argsort produces an ndarray which cannot be
used for indexing an ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/9117#issuecomment-352551738
Yes, it works with mxnet 1.0.0.
Thank you.
--
marfago closed issue #9117: argsort produces an ndarray which cannot be used
for indexing an ndarray
URL: https://github.com/apache/incubator-mxnet/issues/9117
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aidan-plenert-macdonald commented on issue #9117: argsort produces an ndarray
which cannot be used for indexing an ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/9117#issuecomment-352549980
It works for me.
```
>>> from mxnet import nd
>>> X = nd.random_normal(s
piiswrong commented on a change in pull request #9074: Rnn example updates
URL: https://github.com/apache/incubator-mxnet/pull/9074#discussion_r157592677
##
File path: example/gluon/word_language_model/get_ptb_data.sh
##
@@ -17,6 +17,11 @@
# specific language governing per
marfago commented on issue #9117: argsort produces an ndarray which cannot be
used for indexing an ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/9117#issuecomment-352548271
@aidan-plenert-macdonald Try the code I posted above, it won't work. You can
use neither an numpy ar
piiswrong closed pull request #8993: Fix compatibility of examples with py3
URL: https://github.com/apache/incubator-mxnet/pull/8993
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marfago commented on issue #9117: argsort produces an ndarray which cannot be
used for indexing an ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/9117#issuecomment-352548271
@aidan-plenert-macdonald Try the code I posted above, it won't work. You can
use neither an numpy ar
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piiswrong closed pull request #8684: [BugFix][CoreML Converter] Dense layers
w/o bias.
URL: https://github.com/apache/incubator-mxnet/pull/8684
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piiswrong closed pull request #8814: csr slice operator, gpu implementation
URL: https://github.com/apache/incubator-mxnet/pull/8814
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piiswrong closed pull request #8519: More details to the windows build process
URL: https://github.com/apache/incubator-mxnet/pull/8519
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piiswrong commented on a change in pull request #9029: Replace slower mshadow
op with kernel launch in kvstore_dist_server
URL: https://github.com/apache/incubator-mxnet/pull/9029#discussion_r157591021
##
File path: src/kvstore/kvstore_dist_server.h
##
@@ -434,7 +445,7 @@
safrooze commented on a change in pull request #9125: Fixed incorrect wording
in mnist tutorial
URL: https://github.com/apache/incubator-mxnet/pull/9125#discussion_r157590703
##
File path: docs/tutorials/python/mnist.md
##
@@ -57,7 +57,7 @@ data = mx.sym.flatten(data=data)
leleamol commented on a change in pull request #9124: Removing the PYTHONPATH
inserts from the examples to avoid portabiliity issues.
URL: https://github.com/apache/incubator-mxnet/pull/9124#discussion_r157590307
##
File path: example/ctc/ocr_predict.py
##
@@ -21,8 +21,6 @
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piiswrong closed pull request #9053: image-classification example fix python3
compatibility
URL: https://github.com/apache/incubator-mxnet/pull/9053
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piiswrong closed pull request #9103: Update linear-regression.md
URL: https://github.com/apache/incubator-mxnet/pull/9103
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pracheer commented on a change in pull request #9125: Fixed incorrect wording
in mnist tutorial
URL: https://github.com/apache/incubator-mxnet/pull/9125#discussion_r157583523
##
File path: docs/tutorials/python/mnist.md
##
@@ -57,7 +57,7 @@ data = mx.sym.flatten(data=data)
piiswrong opened a new pull request #9126: fix multi worker dataloader deadlock
URL: https://github.com/apache/incubator-mxnet/pull/9126
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make l
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new b53a13e FCN example updates (#9066)
b53a1
sandeep-krishnamurthy closed pull request #9066: FCN example updates
URL: https://github.com/apache/incubator-mxnet/pull/9066
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anirudh2290 commented on a change in pull request #9124: Removing the
PYTHONPATH inserts from the examples to avoid portabiliity issues.
URL: https://github.com/apache/incubator-mxnet/pull/9124#discussion_r157579002
##
File path: example/ctc/ocr_predict.py
##
@@ -21,8 +21,
safrooze opened a new pull request #9125: Fixed incorrect wording in mnist
tutorial
URL: https://github.com/apache/incubator-mxnet/pull/9125
* dimensions of weight and bias were incorrectly reported and the formula
for FC layer didn't mention that weight is transposed.
## Descriptio
piiswrong commented on a change in pull request #8000: Docs changes for
launch.py usage
URL: https://github.com/apache/incubator-mxnet/pull/8000#discussion_r157573988
##
File path: docs/faq/multi_devices.md
##
@@ -148,6 +148,14 @@ Note that here we
- `-n` number of worker
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new fb254c4 Updating the Python readme (#907
piiswrong closed pull request #9075: Updating the Python readme
URL: https://github.com/apache/incubator-mxnet/pull/9075
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the sake of provenance:
As this is a foreign pull re
aidan-plenert-macdonald commented on issue #9117: argsort produces an ndarray
which cannot be used for indexing an ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/9117#issuecomment-352527405
What version of MXNet are you using? Works fine for me in version 1.0.0.
```
aidan-plenert-macdonald commented on issue #9117: argsort produces an ndarray
which cannot be used for indexing an ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/9117#issuecomment-352527405
What version of MXNet are you using? Works fine for me in version 1.0.0.
```
aidan-plenert-macdonald commented on issue #9117: argsort produces an ndarray
which cannot be used for indexing an ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/9117#issuecomment-352527405
What version of MXNet are you using? Works fine for me in version 1.0.0.
```
aidan-plenert-macdonald commented on issue #9117: argsort produces an ndarray
which cannot be used for indexing an ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/9117#issuecomment-352527405
What version of MXNet are you using? Works fine for me in version 1.0.0.
```py
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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 df25378 add shared storage in windows (#
piiswrong closed pull request #8967: add shared storage in windows
URL: https://github.com/apache/incubator-mxnet/pull/8967
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As this is a foreign pull
leleamol opened a new pull request #9124: Removing the PYTHONPATH inserts from
the examples to avoid portabiliity issues.
URL: https://github.com/apache/incubator-mxnet/pull/9124
## Description ##
The test scripts contain sys.path() that insert relative PYTHONPATH. This
makes the exampl
aidan-plenert-macdonald commented on issue #9118: argmax causes python VM to
crash
URL:
https://github.com/apache/incubator-mxnet/issues/9118#issuecomment-352522212
Reproducable in version 0.11.1b20170929),
```
$ pip list | grep mxnet
mxnet (0.11.1b20170929)
$ python
Python
piiswrong commented on a change in pull request #9046: Fix example
example/reinforcement-learning/a3c
URL: https://github.com/apache/incubator-mxnet/pull/9046#discussion_r157565897
##
File path: example/reinforcement-learning/a3c/rl_data.py
##
@@ -21,7 +21,7 @@
import gy
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