hgt312 commented on issue #16778: custom op full_like
URL: https://github.com/apache/incubator-mxnet/pull/16778#issuecomment-552774758
@mxnet-label-bot add [Numpy]
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from 27672b9 [Perl] - ndarray operator overloading enhancements (#16779)
add b9b56e6 fix inv test
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from 27672b9 [Perl] - ndarray operator overloading enhancements (#16779)
add b9b56e6 fix inv test
reminisce merged pull request #16782: [Numpy] Fix linalg.inv test flakiness
URL: https://github.com/apache/incubator-mxnet/pull/16782
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hgt312 commented on issue #16786: Add OP diag [numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16786#issuecomment-552773356
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Tommliu opened a new pull request #16786: Add OP diag [numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16786
## Description ##
Add op diag
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts
roywei commented on issue #16785: keras-mxnet training failed with FusedOP
URL:
https://github.com/apache/incubator-mxnet/issues/16785#issuecomment-552768755
cc @ptrendx
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roywei commented on issue #16785: keras-mxnet training failed with FusedOP
URL:
https://github.com/apache/incubator-mxnet/issues/16785#issuecomment-552768650
This is still failing after
https://github.com/apache/incubator-mxnet/pull/16781
more stack trace:
```
[07:21:45]
roywei opened a new issue #16785: keras-mxnet training failed with FusedOP
URL: https://github.com/apache/incubator-mxnet/issues/16785
The following Keras-MXNet example break after FusedOP is introduced in mxnet
https://github.com/apache/incubator-mxnet/pull/15167
BogdanovKirill commented on issue #11458: Multithreading error.
URL:
https://github.com/apache/incubator-mxnet/issues/11458#issuecomment-552761289
It seems that this issue is a serious bug, not question.
This is an automated
BogdanovKirill edited a comment on issue #11458: Multithreading error.
URL:
https://github.com/apache/incubator-mxnet/issues/11458#issuecomment-552761289
I think that this issue is a serious bug, not question.
This is an
BogdanovKirill commented on issue #11458: Multithreading error.
URL:
https://github.com/apache/incubator-mxnet/issues/11458#issuecomment-552760837
It seems that this problem is connected with:
https://github.com/apache/incubator-mxnet/issues/10948
I could say that when your program
hzfan commented on a change in pull request #16660: [WIP] [Numpy] TVM
implementation for binary ops
URL: https://github.com/apache/incubator-mxnet/pull/16660#discussion_r345037790
##
File path: contrib/tvmop/core/umath.py
##
@@ -120,3 +121,327 @@ def
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The following commit(s) were added to refs/heads/asf-site by this push:
new 9b1add5 Bump the
hgt312 commented on issue #16782: [Numpy] Fix linalg.inv test flakiness
URL: https://github.com/apache/incubator-mxnet/pull/16782#issuecomment-552750400
@mxnet-label-bot add [Numpy]
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vexilligera edited a comment on issue #16782: [Numpy] Fix linalg.inv test
flakiness
URL: https://github.com/apache/incubator-mxnet/pull/16782#issuecomment-552716665
@reminisce @haojin2
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liuzhi136 edited a comment on issue #16665: MapPlanKernel ErrStr:an illegal
memory access was encountered
URL:
https://github.com/apache/incubator-mxnet/issues/16665#issuecomment-552743188
@zachgk @samskalicky @lanking520 The training scripts I used is just the
tutorial script of chapter
liuzhi136 commented on issue #16665: MapPlanKernel ErrStr:an illegal memory
access was encountered
URL:
https://github.com/apache/incubator-mxnet/issues/16665#issuecomment-552743188
@zachgk @samskalicky @lanking520 The training scripts I used is just the
tutorial script. It works on the
reminisce commented on issue #16716: [Numpy] Fix collect_params().zero_grad()
in gluon numpy interface
URL: https://github.com/apache/incubator-mxnet/pull/16716#issuecomment-552737990
@szha @ptrendx From the discussion, I think we have aligned to keep
`nd.reset_arrays` as is for the
sxjscience commented on issue #16716: [Numpy] Fix collect_params().zero_grad()
in gluon numpy interface
URL: https://github.com/apache/incubator-mxnet/pull/16716#issuecomment-552731024
@szha Is it good to merge?
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wkcn commented on a change in pull request #16778: custom op full_like
URL: https://github.com/apache/incubator-mxnet/pull/16778#discussion_r345014417
##
File path: python/mxnet/numpy_op_fallback.py
##
@@ -49,6 +49,73 @@ def _register_helper(prop_cls):
return
tashaxing opened a new issue #16784: mxnet official website
http://mxnet.incubator.apache.org/get_started display error
URL: https://github.com/apache/incubator-mxnet/issues/16784
[http://mxnet.incubator.apache.org/get_started](http://mxnet.incubator.apache.org/get_started)
the
DickJC123 opened a new pull request #16783: Speed fused_op compilation by
caching ptx and jit-compiled device functions
URL: https://github.com/apache/incubator-mxnet/pull/16783
## Description ##
This PR speeds up the dynamic nvrtc-compilation of fused_ops in response to
@rondogency's
hzfan commented on a change in pull request #16773: Fix nightly build
URL: https://github.com/apache/incubator-mxnet/pull/16773#discussion_r345003652
##
File path: python/mxnet/tvmop.py
##
@@ -31,7 +32,12 @@
check_call(_LIB.MXLoadTVMOp(c_str(_LIB_TVM_OP[0])))
#
hzfan commented on issue #16773: Fix nightly build
URL: https://github.com/apache/incubator-mxnet/pull/16773#issuecomment-552718306
> Hey @hzfan thanks for the PR. Have we tested on CI-dev if it passes the
nightly? That's generally a good indicator. I can do it for you if you haven't.
hzfan commented on a change in pull request #16773: Fix nightly build
URL: https://github.com/apache/incubator-mxnet/pull/16773#discussion_r345003652
##
File path: python/mxnet/tvmop.py
##
@@ -31,7 +32,12 @@
check_call(_LIB.MXLoadTVMOp(c_str(_LIB_TVM_OP[0])))
#
vexilligera commented on issue #16782: [Numpy] Fix linalg.inv test flakiness
URL: https://github.com/apache/incubator-mxnet/pull/16782#issuecomment-552716665
@reminisce
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xysong1201 commented on issue #4002: SoftmaxOutput and the tutorial is confusing
URL:
https://github.com/apache/incubator-mxnet/issues/4002#issuecomment-552704900
Same problem come to me when I'm looking at some codes writen in Mxnet but
can't find the loss function. ( In face, there is
linven0721 commented on issue #16751: Run Java example, GPU, Memory leak
URL:
https://github.com/apache/incubator-mxnet/issues/16751#issuecomment-552701551
@lanking520 The code is the java example[PredictorExample.java]. I just
added a for loop.
`NDArray img=...;
Predictor
wkcn commented on a change in pull request #16234: [MXNET-1426] Fix the wrong
result of sum, mean, argmin, argmax when inputs contain inf or nan
URL: https://github.com/apache/incubator-mxnet/pull/16234#discussion_r344987852
##
File path: tests/python/unittest/test_ndarray.py
wkcn commented on a change in pull request #16234: [MXNET-1426] Fix the wrong
result of sum, mean, argmin, argmax when inputs contain inf or nan
URL: https://github.com/apache/incubator-mxnet/pull/16234#discussion_r344987852
##
File path: tests/python/unittest/test_ndarray.py
wkcn commented on a change in pull request #16234: [MXNET-1426] Fix the wrong
result of sum, mean, argmin, argmax when inputs contain inf or nan
URL: https://github.com/apache/incubator-mxnet/pull/16234#discussion_r344984993
##
File path: 3rdparty/mshadow/mshadow/base.h
##
eric-haibin-lin commented on issue #16686: Grad Accumulation by using
grad_req='add' has numerical issue
URL:
https://github.com/apache/incubator-mxnet/issues/16686#issuecomment-552696312
@samskalicky this issue is found when we debug the BERT divergence issue.
Tommliu commented on issue #16771: Unravel_index operator missing the Boundary
Check for the Input index
URL:
https://github.com/apache/incubator-mxnet/issues/16771#issuecomment-552696222
Should the unravel_index function in Mxnet follow the numpy convention? I
think a boundary check is
eric-haibin-lin commented on issue #16303: LAMB optimizer
URL: https://github.com/apache/incubator-mxnet/pull/16303#issuecomment-552695726
related: https://github.com/apache/incubator-mxnet/pull/16122/files
This is an
ifeherva commented on issue #16766: Unfold operator
URL: https://github.com/apache/incubator-mxnet/pull/16766#issuecomment-552689849
https://github.com/apache/incubator-mxnet/issues/16002
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marcoabreu commented on issue #16781: Fix for #16747
URL: https://github.com/apache/incubator-mxnet/pull/16781#issuecomment-552686774
Shall we add some test since our CI didn't catch these cases?
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vexilligera commented on issue #16776: [Flaky] mx.np.linalg.inv
URL:
https://github.com/apache/incubator-mxnet/issues/16776#issuecomment-552686265
WIP #16782
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vexilligera opened a new pull request #16782: [Numpy] Fix inv test flakiness
URL: https://github.com/apache/incubator-mxnet/pull/16782
## Description ##
(Brief description on what this PR is about)
Fix inv test flakiness using random matrices generated by SVD
## Checklist ##
###
ptrendx commented on issue #16747: Fused Op causes MXNetError
URL:
https://github.com/apache/incubator-mxnet/issues/16747#issuecomment-552684533
I created a PR with a fix. @leezu, could you validate it?
This is an automated
ptrendx opened a new pull request #16781: Fix for #16747
URL: https://github.com/apache/incubator-mxnet/pull/16781
## Description ##
Fixes #16747.
This PR fixes 2 problems:
- the name for the fused op on the backward pass contained names of nodes
in the forward pass,
CanyonWind commented on issue #16424: [Channel Shuffle / Hard Swish / Hard
Sigmoid] running in MKL CPU backend failed
URL:
https://github.com/apache/incubator-mxnet/issues/16424#issuecomment-552684130
That would be great, thanks!
vexilligera closed pull request #16780: [Numpy] Eliminate flakiness in
linalg.inv test
URL: https://github.com/apache/incubator-mxnet/pull/16780
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vexilligera opened a new pull request #16780: [Numpy] Eliminate flakiness in
linalg.inv test
URL: https://github.com/apache/incubator-mxnet/pull/16780
## Description ##
(Brief description on what this PR is about)
Use SVD to generate random matrices to ensure robustness.
##
pengzhao-intel commented on issue #16424: [Channel Shuffle / Hard Swish / Hard
Sigmoid] running in MKL CPU backend failed
URL:
https://github.com/apache/incubator-mxnet/issues/16424#issuecomment-552682690
> I've tried the updates from the pull request, it works like a charm. Seems
like
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new e0d17db Bump the
CanyonWind closed issue #16424: [Channel Shuffle / Hard Swish / Hard Sigmoid]
running in MKL CPU backend failed
URL: https://github.com/apache/incubator-mxnet/issues/16424
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CanyonWind commented on issue #16424: [Channel Shuffle / Hard Swish / Hard
Sigmoid] running in MKL CPU backend failed
URL:
https://github.com/apache/incubator-mxnet/issues/16424#issuecomment-552681563
I've tried the updates from the pull request, it works like a charm. Seems
like the
eric-haibin-lin closed pull request #16303: LAMB optimizer
URL: https://github.com/apache/incubator-mxnet/pull/16303
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larroy commented on issue #16675: MaskRCNN unable to train with master, works
with previous revisions
URL:
https://github.com/apache/incubator-mxnet/issues/16675#issuecomment-552650612
I suggested to @Jerryzcn that training can be done for a few minutes to
collect throughput and see that
ChaiBapchya edited a comment on issue #16764: Link fixes4
URL: https://github.com/apache/incubator-mxnet/pull/16764#issuecomment-552648392
@aaronmarkham @TEChopra1000
The reason why you were facing MKLDNN lib error was
Your branch was likely not updated with latest master
ChaiBapchya commented on issue #16764: Link fixes4
URL: https://github.com/apache/incubator-mxnet/pull/16764#issuecomment-552648392
@aaronmarkham @TEChopra1000
The reason why you were facing MKLDNN lib error was
Your branch was likely not updated with latest master
Your error
zhreshold commented on issue #16675: MaskRCNN unable to train with master,
works with previous revisions
URL:
https://github.com/apache/incubator-mxnet/issues/16675#issuecomment-552644070
@larroy CI for GluonCV is hosted separately alongside with GluonNLP,
GluonTS for example.
So far
zhreshold commented on issue #16708: Training an FPN model using grad_req="add"
causes rapid divergence, while manually implemented gradient accumulation
works fine
URL:
https://github.com/apache/incubator-mxnet/issues/16708#issuecomment-552634447
At first glance it's related to
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marcoabreu pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 177fd3e Support boolean elemwise/broadcast binary add, multiply and
true_divide (#16728)
add
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marcoabreu pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 177fd3e Support boolean elemwise/broadcast binary add, multiply and
true_divide (#16728)
add
marcoabreu merged pull request #16779: [Perl] - ndarray operator overloading
enhancements
URL: https://github.com/apache/incubator-mxnet/pull/16779
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larroy commented on issue #16675: MaskRCNN unable to train with master, works
with previous revisions
URL:
https://github.com/apache/incubator-mxnet/issues/16675#issuecomment-552620930
@zhreshold comparing MXNet versions. I think we should add training tests to
Gluon CV CI, at least run
zachgk commented on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-552612611
@larroy Please comment if you want to take this issue.
This is an automated
zachgk commented on issue #16741: Error detecting C++11 and C++14
URL:
https://github.com/apache/incubator-mxnet/issues/16741#issuecomment-552612120
@larroy Please comment if you want to take this issue.
This is an automated
zachgk commented on issue #16724: Example link of the image classification show
404
URL:
https://github.com/apache/incubator-mxnet/issues/16724#issuecomment-552612267
@TEChopra1000 Please comment if you want to take this issue.
samskalicky commented on issue #16708: Training an FPN model using
grad_req="add" causes rapid divergence, while manually implemented gradient
accumulation works fine
URL:
https://github.com/apache/incubator-mxnet/issues/16708#issuecomment-552611785
@zhreshold any update on this issue?
zachgk commented on issue #16753: fail to build using docker
URL:
https://github.com/apache/incubator-mxnet/issues/16753#issuecomment-552611201
@larroy Please comment if you want to take this issue.
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anirudh2290 commented on issue #16757: Fix InferType logic in operators
URL:
https://github.com/apache/incubator-mxnet/issues/16757#issuecomment-552603787
It's a bug
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zhreshold commented on issue #16675: MaskRCNN unable to train with master,
works with previous revisions
URL:
https://github.com/apache/incubator-mxnet/issues/16675#issuecomment-552593882
@larroy So are you fixing the version of GluonCV, only comparing the mxnet
versions?
samskalicky commented on issue #16665: MapPlanKernel ErrStr:an illegal memory
access was encountered
URL:
https://github.com/apache/incubator-mxnet/issues/16665#issuecomment-552592087
@mxnet-label-bot add [Question]
This is
samskalicky commented on issue #16665: MapPlanKernel ErrStr:an illegal memory
access was encountered
URL:
https://github.com/apache/incubator-mxnet/issues/16665#issuecomment-552592028
@mxnet-label-bot remove [Bug]
This is
samskalicky commented on issue #16674: Garbage ctx.dev_mask seen in Clojure CPU
Integration CI run
URL:
https://github.com/apache/incubator-mxnet/issues/16674#issuecomment-552591494
@DickJC123 can this be closed now that #16671 is merged?
@zachgk assign @DickJC123
samskalicky commented on issue #16675: MaskRCNN unable to train with master,
works with previous revisions
URL:
https://github.com/apache/incubator-mxnet/issues/16675#issuecomment-552590984
@zachgk assign @szha
@Jerryzcn @zhreshold is this a GluonCV issue?
samskalicky commented on issue #16685: Memory planner doesn't respect 'output
independence'. More optimizations possible.
URL:
https://github.com/apache/incubator-mxnet/issues/16685#issuecomment-552589889
@mxnet-label-bot add [Feature request]
samskalicky commented on issue #16685: Memory planner doesn't respect 'output
independence'. More optimizations possible.
URL:
https://github.com/apache/incubator-mxnet/issues/16685#issuecomment-552589825
@mxnet-label-bot remove [Bug]
samskalicky commented on issue #16686: Grad Accumulation by using
grad_req='add' has numerical issue
URL:
https://github.com/apache/incubator-mxnet/issues/16686#issuecomment-552589640
@zachgk assign @szha
@eric-haibin-lin any ideas? similar to your divergence issues?
samskalicky edited a comment on issue #16702: Profile dump seems corrupted or
invalid json
URL:
https://github.com/apache/incubator-mxnet/issues/16702#issuecomment-552588447
@mxnet-label-bot add [Feature Request]
This is an
samskalicky commented on issue #16701: Hybridize, conditional operator, and
loop gradient/trainer bug
URL:
https://github.com/apache/incubator-mxnet/issues/16701#issuecomment-552588799
@zachgk assign @szha
This is an
samskalicky commented on issue #16702: Profile dump seems corrupted or invalid
json
URL:
https://github.com/apache/incubator-mxnet/issues/16702#issuecomment-552588447
@mxnet-label-bot add [Feature]
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samskalicky commented on issue #16702: Profile dump seems corrupted or invalid
json
URL:
https://github.com/apache/incubator-mxnet/issues/16702#issuecomment-552588386
@mxnet-label-bot remove [Bug]
This is an automated
samskalicky commented on issue #16704: Nightly tests fail with "Cannot find TVM
op config"
URL:
https://github.com/apache/incubator-mxnet/issues/16704#issuecomment-552587678
@zachgk assign @szha
This is an automated
samskalicky commented on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-552587359
@zachgk assign @larroy
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sxjscience commented on issue #16708: Training an FPN model using
grad_req="add" causes rapid divergence, while manually implemented gradient
accumulation works fine
URL:
https://github.com/apache/incubator-mxnet/issues/16708#issuecomment-552586348
@samskalicky Actually, @zhreshold is
samskalicky commented on issue #16708: Training an FPN model using
grad_req="add" causes rapid divergence, while manually implemented gradient
accumulation works fine
URL:
https://github.com/apache/incubator-mxnet/issues/16708#issuecomment-552585909
@zachgk assign @szha
samskalicky commented on issue #16724: Example link of the image classification
show 404
URL:
https://github.com/apache/incubator-mxnet/issues/16724#issuecomment-552585451
@zachgk assign @TEChopra1000
This is an automated
samskalicky commented on issue #16726: fatal error: cub/cub.cuh: No such file
or directory
URL:
https://github.com/apache/incubator-mxnet/issues/16726#issuecomment-552584727
@mxnet-label-bot remove [Bug]
This is an
samskalicky commented on issue #16726: fatal error: cub/cub.cuh: No such file
or directory
URL:
https://github.com/apache/incubator-mxnet/issues/16726#issuecomment-552584782
@mxnet-label-bot add [Question]
This is an
samskalicky commented on issue #16736: Bug when iterating over HybridSequential
elements
URL:
https://github.com/apache/incubator-mxnet/issues/16736#issuecomment-552584468
@zachgk assign @szha
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samskalicky commented on issue #16741: Error detecting C++11 and C++14
URL:
https://github.com/apache/incubator-mxnet/issues/16741#issuecomment-552584245
@zachgk assign @larroy
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samskalicky commented on issue #16743: [Numpy] Cannot mix numpy scalar and
MXNet numpy ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/16743#issuecomment-552583758
@zachgk assign @sxjscience
This is an
samskalicky commented on issue #16751: Run Java example, GPU, Memory leak
URL:
https://github.com/apache/incubator-mxnet/issues/16751#issuecomment-552583511
@zachgk assign @lanking520
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samskalicky commented on issue #16752: Gluon hybridize is not perfect.
URL:
https://github.com/apache/incubator-mxnet/issues/16752#issuecomment-552583303
@zachgk assign @szha
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samskalicky commented on issue #16753: fail to build using docker
URL:
https://github.com/apache/incubator-mxnet/issues/16753#issuecomment-552583064
@zachgk assign @larroy
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samskalicky commented on issue #16754: Is mirroring working with MXNet 1.5.1
Gluon ?
URL:
https://github.com/apache/incubator-mxnet/issues/16754#issuecomment-552582711
@zachgk assign @szha
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samskalicky commented on issue #16757: Fix InferType logic in operators
URL:
https://github.com/apache/incubator-mxnet/issues/16757#issuecomment-552582499
@anirudh2290 Can we make this a feature request and change title to "Improve
InferTYpe ..." instead of a bug?
lanking520 commented on issue #16751: Run Java example, GPU, Memory leak
URL:
https://github.com/apache/incubator-mxnet/issues/16751#issuecomment-552581314
@linven0721 Could you please share your code to run it? Currently we use
`ResourceScope` to collect the memory effectively.
samskalicky commented on issue #16759: LeakyReLU
URL:
https://github.com/apache/incubator-mxnet/issues/16759#issuecomment-552581432
@mxnet-label-bot remove [Bug]
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samskalicky commented on issue #16765: FusedOp Failing Static Linked Build
URL:
https://github.com/apache/incubator-mxnet/issues/16765#issuecomment-552580431
@zachgk assign @ptrendx
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lanking520 commented on issue #16771: Unravel_index operator missing the
Boundary Check for the Input index
URL:
https://github.com/apache/incubator-mxnet/issues/16771#issuecomment-552579925
Hi @Tommliu That seemed to be a numpy problem since you import numpy as np.
samskalicky commented on issue #16775: building problems
URL:
https://github.com/apache/incubator-mxnet/issues/16775#issuecomment-552579411
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larroy commented on a change in pull request #16773: Fix nightly build
URL: https://github.com/apache/incubator-mxnet/pull/16773#discussion_r344870452
##
File path: python/mxnet/tvmop.py
##
@@ -31,7 +32,12 @@
check_call(_LIB.MXLoadTVMOp(c_str(_LIB_TVM_OP[0])))
ChaiBapchya commented on issue #16773: Fix nightly build
URL: https://github.com/apache/incubator-mxnet/pull/16773#issuecomment-552578685
Hey @hzfan thanks for the PR. Have we tested on CI-dev if it passes the
nightly? That's generally a good indicator. I can do it for you if you haven't.
haojin2 commented on issue #16728: Support boolean elemwise/broadcast binary
add, multiply and true_divide
URL: https://github.com/apache/incubator-mxnet/pull/16728#issuecomment-552575653
@ptrendx This is needed for 1.6.0 for d2l book english version.
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aaronmarkham pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 981de4f Bump the
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