zhanghang1989 commented on a change in pull request #9688: [MXNET-108] Adding
BilinearResize2D and AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r179983326
##
File path: src/operator/contrib/adaptive_avg_pooling.cc
##
@@ -0
solin319 commented on issue #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366#issuecomment-379620820
The results above was get in multi-GPU training with kv_store='local'.
The same problem was in kv_store='device' too.
When we training in multi-machine, t
solin319 closed pull request #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366
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szha commented on issue #9686: APIs that might be a good idea to remove in 2.0
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-379618905
#9881
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CodingCat opened a new pull request #10462: [MXNET-62] add test against spark
integration
URL: https://github.com/apache/incubator-mxnet/pull/10462
the test would be passed only we
1. review and merge https://github.com/dmlc/ps-lite/pull/133
2. upload the original
https://s3
hetong007 commented on a change in pull request #10450: [MXNET-212] [R] Fix
Random Samplers from Uniform and Gaussian distribution in R bindings
URL: https://github.com/apache/incubator-mxnet/pull/10450#discussion_r179979144
##
File path: R-package/tests/testthat/test_random.R
eric-haibin-lin commented on issue #10388: [MXNET-265] Update optimizer doc to
clarify wd behaviors
URL: https://github.com/apache/incubator-mxnet/pull/10388#issuecomment-379615395
I'm still hesitated to change all these behaviors since they're will break
existing training scripts..
xinyu-intel commented on issue #10365: [MXNET-261]Update MKLDNN & Add CPP Test
URL: https://github.com/apache/incubator-mxnet/pull/10365#issuecomment-379613321
@nihui Please help take a look at this pr. The gpu unit test
**'depth_wise_conv'** which skipped in #10098 can't pass now. Thank yo
eric-haibin-lin commented on issue #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366#issuecomment-379610436
Are you training with multi-machine and multi-GPU? What type of kvstore are
you using?
I guess one walk-around is to update the `FResourceRequest ` i
anirudh2290 commented on issue #10354: Expose the number of GPUs.
URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-379596694
@tdomhan any updates ?
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sergeykolychev closed pull request #10460: MXNET-295 [Perl] Added support for
linalg operators.
URL: https://github.com/apache/incubator-mxnet/pull/10460
This is a PR merged from a forked repository.
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the sake of provena
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sergeykolychev 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 658bad6 MXNET-295 [Perl] Added
anirudh2290 commented on issue #1: [MXNET-80] Fix average pooling kernel
size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#issuecomment-379595604
@CoinCheung can you please resolve the conflicts.
anirudh2290 commented on issue #9688: [MXNET-108] Adding BilinearResize2D and
AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#issuecomment-379595224
@zhanghang1989 any updates on this ?
Th
anirudh2290 commented on issue #8797: fix errors for reinterpret_cast usage
URL: https://github.com/apache/incubator-mxnet/pull/8797#issuecomment-379595162
@xinghedyc any updates ?
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anirudh2290 commented on issue #8582: Yolo2 operator
URL: https://github.com/apache/incubator-mxnet/pull/8582#issuecomment-379595063
@zhreshold any updates on this ?
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ShootingSpace opened a new pull request #10461: allow user to define unknown
token symbol
URL: https://github.com/apache/incubator-mxnet/pull/10461
## Description ##
Add new feature for issue
[#10068](https://github.com/apache/incubator-mxnet/issues/10068). It allows
unknown token to b
ShootingSpace closed pull request #10385: allow user to define unknown token
symbol
URL: https://github.com/apache/incubator-mxnet/pull/10385
This is a PR merged from a forked repository.
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As thi
chengdazhi opened a new issue #9914: Gluon speed issus when input size varies
across batches
URL: https://github.com/apache/incubator-mxnet/issues/9914
Hi. I have noticed that the gluon framework has speed issues when the input
spatial size varies across batches. It causes an approximate *
marcoabreu commented on a change in pull request #10435: [MXNET-289] Allow
specifying number of batches to run in an epoch to fix hang in dist sync for
last epoch
URL: https://github.com/apache/incubator-mxnet/pull/10435#discussion_r179961212
##
File path: python/mxnet/module/base_
sergeykolychev commented on issue #10460: MXNET-295 [Perl] Added support for
linalg operators.
URL: https://github.com/apache/incubator-mxnet/pull/10460#issuecomment-379581976
@tlby Rob, please check it out
This is an automat
sergeykolychev opened a new pull request #10460: MXNET-295 [Perl] Added support
for linalg operators.
URL: https://github.com/apache/incubator-mxnet/pull/10460
## Description ##
Added support for linear algebra operations on symbols/ndarrays for Perl API
## Checklist ##
### Ess
larroy commented on issue #9808: [MXNET-267] Ssd camera demo
URL: https://github.com/apache/incubator-mxnet/pull/9808#issuecomment-379579715
@zhreshold thanks for the review. I will look into the video.
This is an automated me
larroy commented on a change in pull request #9808: [MXNET-267] Ssd camera demo
URL: https://github.com/apache/incubator-mxnet/pull/9808#discussion_r179960162
##
File path: example/ssd/demo.py
##
@@ -156,3 +209,22 @@ def parse_data_shape(data_shape_str):
# run detectio
larroy commented on a change in pull request #9808: [MXNET-267] Ssd camera demo
URL: https://github.com/apache/incubator-mxnet/pull/9808#discussion_r179960162
##
File path: example/ssd/demo.py
##
@@ -156,3 +209,22 @@ def parse_data_shape(data_shape_str):
# run detectio
larroy commented on a change in pull request #9808: [MXNET-267] Ssd camera demo
URL: https://github.com/apache/incubator-mxnet/pull/9808#discussion_r179960150
##
File path: example/ssd/demo.py
##
@@ -131,13 +138,59 @@ def parse_data_shape(data_shape_str):
raise Val
ShownX commented on issue #9676: [Feature Request] Cross Product Operation
URL:
https://github.com/apache/incubator-mxnet/issues/9676#issuecomment-379578423
Hi, Iacopo @iacopomasi ,
It is glad to see you are using MXNet now. Cross operation can be
implemented by using the current op
rahul003 commented on a change in pull request #10435: [MXNET-289] Allow
specifying number of batches to run in an epoch to fix hang in dist sync for
last epoch
URL: https://github.com/apache/incubator-mxnet/pull/10435#discussion_r179958709
##
File path: python/mxnet/module/base_mo
rahul003 commented on a change in pull request #10435: [MXNET-289] Allow
specifying number of batches to run in an epoch to fix hang in dist sync for
last epoch
URL: https://github.com/apache/incubator-mxnet/pull/10435#discussion_r179958665
##
File path: python/mxnet/module/base_mo
rahul003 commented on issue #10452: [MXNET-294] Fix element wise multiply for
csr ndarrays
URL: https://github.com/apache/incubator-mxnet/pull/10452#issuecomment-379576139
Thanks, added
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iacopomasi commented on issue #9676: [Feature Request] Cross Product Operation
URL:
https://github.com/apache/incubator-mxnet/issues/9676#issuecomment-379575491
Same here I was also looking for cross product operator. Thanks.
---
anirudh2290 commented on issue #10317: [MXNET-264] Improve performance of
MKLDNN in small batch sizes.
URL: https://github.com/apache/incubator-mxnet/pull/10317#issuecomment-379573981
@cjolivier01 is this good to merge ?
This
anirudh2290 commented on issue #10391: [MXNET-139] Tutorial for mixed precision
training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#issuecomment-379573420
ping @rahul003
This is an automated messa
anirudh2290 commented on issue #10183: [MXNET-120] Float16 support for
distributed training
URL: https://github.com/apache/incubator-mxnet/pull/10183#issuecomment-379573117
@rahul003 can you fix the conflicts ?
This is an
anirudh2290 commented on issue #9152: [MXNET-37] tutorial for distributed
training
URL: https://github.com/apache/incubator-mxnet/pull/9152#issuecomment-379572950
@piiswrong can we merge this ?
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szha commented on issue #10385: allow user to define unknown token symbol
URL: https://github.com/apache/incubator-mxnet/pull/10385#issuecomment-379570094
You can add the test cases to
https://github.com/apache/incubator-mxnet/blob/master/tests/python/unittest/test_rnn.py,
run it locally t
chengdazhi opened a new issue #10459: Does gluon support dynamic graph like if
clause?
URL: https://github.com/apache/incubator-mxnet/issues/10459
Hi,
I have found that if clause in Block.forward() is executed in main thread
and causes delay if outputs of former operators are relat
chengdazhi closed issue #10240: [Python2] Occasional and random Illegal Memory
Access Error | Cached Op Input Context Error
URL: https://github.com/apache/incubator-mxnet/issues/10240
This is an automated message from the Ap
chengdazhi commented on issue #10240: [Python2] Occasional and random Illegal
Memory Access Error | Cached Op Input Context Error
URL:
https://github.com/apache/incubator-mxnet/issues/10240#issuecomment-379546948
For future reference, this bug is caused by **CustomOp** for unknown reason.
chengdazhi closed issue #9914: Gluon speed issus when input size varies across
batches
URL: https://github.com/apache/incubator-mxnet/issues/9914
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To respond to the me
chengdazhi commented on issue #9914: Gluon speed issus when input size varies
across batches
URL:
https://github.com/apache/incubator-mxnet/issues/9914#issuecomment-379546718
@marcoabreu Thanks for your prompt reply. Problem is fixed by padding all
images to a fixed size. Providing a MVE
marcoabreu commented on issue #10458: [Don't merge] A debug pr of
https://github.com/apache/incubator-mxnet/pull/10104
URL: https://github.com/apache/incubator-mxnet/pull/10458#issuecomment-379538589
In order to reproduce errors from a PR, please use the guide at
https://cwiki.apache.org/c
marcoabreu closed pull request #10458: [Don't merge] A debug pr of
https://github.com/apache/incubator-mxnet/pull/10104
URL: https://github.com/apache/incubator-mxnet/pull/10458
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below
ShootingSpace commented on issue #10385: allow user to define unknown token
symbol
URL: https://github.com/apache/incubator-mxnet/pull/10385#issuecomment-379533858
I actually had a test case, but I have no idea how to call this new feature
function since it has not yet merged into mxnet.
lightingghost commented on issue #9676: [Feature Request] Cross Product
Operation
URL:
https://github.com/apache/incubator-mxnet/issues/9676#issuecomment-379530265
How is this going on? I would like to see the cross operator as well =.=
Sherry-Zhang opened a new pull request #10458: A debug pr of pr 10104
URL: https://github.com/apache/incubator-mxnet/pull/10458
## Description ##
Just to debug segment fault error in
https://github.com/apache/incubator-mxnet/pull/10104, will be closed when bug
fixed.
--
haojin2 commented on issue #10208: [MXNET-117] Sparse operator
broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#issuecomment-379527460
Update on 4/8:
A small benchmark for this operator is added to compare the new
implementation with the fall
haojin2 commented on issue #10208: [MXNET-117] Sparse operator
broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#issuecomment-379527460
Update on 4/8:
A small benchmark for this operator is added to compare the new
implementation with the fall
haojin2 commented on issue #10208: [MXNET-117] Sparse operator
broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#issuecomment-379527460
Update on 4/8:
A small benchmark for this operator is added to compare the new
implementation with the fall
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