RogerChern commented on issue #14363: Support multi-threading for Custom
Operator
URL: https://github.com/apache/incubator-mxnet/pull/14363#issuecomment-480155465
Great work!
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wkcn commented on issue #14624: mx.sym.contrib.MultiProposal produces all the
same outputs
URL:
https://github.com/apache/incubator-mxnet/issues/14624#issuecomment-480152809
Since the input is invalid.
I tried to use MultiPropsosal in Faster RCNN, and it worked.
pengzhao-intel edited a comment on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480110642
MKLDNN Quantization PR
Name | PR#
-- | --
sum | #14614
relu | #14604
refactor requantize | #14608
conv +
pengzhao-intel commented on issue #14496: performance degradation from 1.3.1 to
1.4.0
URL:
https://github.com/apache/incubator-mxnet/issues/14496#issuecomment-480141795
@eric-haibin-lin FYI,
https://github.com/apache/incubator-mxnet/pull/14545#issuecomment-479921467
improved the
pilhoon opened a new issue #14624: mx.sym.contrib.MultiProposal produces all
the same outputs
URL: https://github.com/apache/incubator-mxnet/issues/14624
## Description
mx.sym.contrib.MultiProposal produces all the same outputs. It’s expected
that various rois extracted by this method.
pengzhao-intel edited a comment on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480110642
MKLDNN Quantization PR
Name | PR#
-- | --
sum | #14614
relu | #14604
refactor requantize | #14608
conv +
wkcn edited a comment on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs
that might be a good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-480127095
I have some suggestions.
1. Custom Operator for deployment
Currently, MXNet
wkcn commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that
might be a good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-480127095
I have some suggestions.
1. Custom Operator for deployment
Currently, MXNet doesn't
wkcn commented on issue #14610: [Feature Request] Disable lazy evaluation
URL:
https://github.com/apache/incubator-mxnet/issues/14610#issuecomment-480124120
It is interesting that the operator will be executed immediatly, and there
is no lazy evaluation for `mx.nd.dot`.
Close the
wkcn closed issue #14610: [Feature Request] Disable lazy evaluation
URL: https://github.com/apache/incubator-mxnet/issues/14610
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wkcn commented on issue #14610: [Feature Request] Disable lazy evaluation
URL:
https://github.com/apache/incubator-mxnet/issues/14610#issuecomment-480120964
@anirudh2290 Yes. Before my experiment, I was wrong to think the total time
was op(T1) + sleep(T2).
If the total time is T1 +
eric-haibin-lin commented on issue #14496: performance degradation from 1.3.1
to 1.4.0
URL:
https://github.com/apache/incubator-mxnet/issues/14496#issuecomment-480118378
Is there any fix for transpose? I noticed now transpose takes significant
amount of time in BERT.
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anirudh2290 commented on issue #14610: [Feature Request] Disable lazy evaluation
URL:
https://github.com/apache/incubator-mxnet/issues/14610#issuecomment-480116403
@wkcn I am not sure I understand your question. As you showed from your
numbers the op seems to be executing parallelly with
pengzhao-intel edited a comment on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480110642
MKLDNN Quantization PR
Name | PR#
-- | --
sum | #14614
relu | #14604
refactor requantize | #14608
conv +
pengzhao-intel edited a comment on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480110642
MKLDNN Quantization PR
Name | PR#
-- | --
sum | #14614
relu | #14604
refactor requantize | #14608
conv +
larroy commented on issue #14601: [WIP] Add test for gemm overflow.
URL: https://github.com/apache/incubator-mxnet/pull/14601#issuecomment-480111314
@mxnet-label-bot add [pr-awaiting-review]
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pengzhao-intel edited a comment on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480110642
MKLDNN Quantization PR
Name | PR#
-- | --
sum | #14614
relu | #14604
refactor requantize | #14608
conv +
pengzhao-intel commented on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480110642
MKLDNN Quantization PR
sum | #14614
-- | --
relu | #14604
refactor requantize | #14608
conv + activation | WIP
pengzhao-intel edited a comment on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480110642
MKLDNN Quantization PR
Name | PR#
-- | --
sum | #14614
relu | #14604
refactor requantize | #14608
conv +
wkcn commented on issue #14610: [Feature Request] Disable lazy evaluation
URL:
https://github.com/apache/incubator-mxnet/issues/14610#issuecomment-480110594
Test Code:
```
import mxnet as mx
import time
N = 4000
a = mx.nd.zeros((N, N))
b = mx.nd.zeros((N, N))
while
eric-haibin-lin commented on issue #14610: [Feature Request] Disable lazy
evaluation
URL:
https://github.com/apache/incubator-mxnet/issues/14610#issuecomment-480105752
MXNET_ENGINE_TYPE=NaiveEngine?
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karan6181 commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272406919
##
File path:
karan6181 commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272406719
##
File path:
karan6181 commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272406569
##
File path:
karan6181 commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272406492
##
File path:
karan6181 commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272406515
##
File path:
karan6181 commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272406509
##
File path:
karan6181 commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272406229
##
File path:
stu1130 opened a new pull request #14623: [WIP][Dependency Update] Upgrade the
libtiff to 4.0.10
URL: https://github.com/apache/incubator-mxnet/pull/14623
## Description ##
Upgrade the libtiff package to **4.0.10** due to lots of issues at 4.0.9.
1. [tif_jbig.c JBIGDecode
wkcn commented on issue #14615: Add PushAsyncPtr and PushSyncPtr APIs in engine
URL: https://github.com/apache/incubator-mxnet/pull/14615#issuecomment-480093964
@yuxihu Could we add a callback function, which will be called to release
the resource when the execution is finished?
abhinavs95 commented on issue #14373: Passing parameters to HybridBlocks and
not using them
URL:
https://github.com/apache/incubator-mxnet/issues/14373#issuecomment-480092913
I am trying to figure out if this is actually a bug and if there is a
possible workaround for this usecase.
abhinavs95 commented on issue #14585: Fix aspect ratio sampling for
RandomResizedCrop
URL: https://github.com/apache/incubator-mxnet/pull/14585#issuecomment-480089688
@szha could you have a look and merge? Thanks
@mxnet-label-bot update [pr-awaiting-merge]
reminisce opened a new pull request #14622: [DO NOT MERGE] Test numpy branch CI
URL: https://github.com/apache/incubator-mxnet/pull/14622
**DO NOT MERGE**
For the purpose of running CI only.
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piyushghai commented on a change in pull request #14592: Add BERT QA Scala/Java
example
URL: https://github.com/apache/incubator-mxnet/pull/14592#discussion_r272391955
##
File path:
scala-package/examples/src/main/java/org/apache/mxnetexamples/javaapi/infer/bert/BertQA.java
lanking520 closed issue #7653: ipython, The kernel appears to have died. It
will restart automatically.
URL: https://github.com/apache/incubator-mxnet/issues/7653
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lanking520 commented on issue #7591: Error:include/mxnet/./ndarray.h:109:
Unknown type enum 1794200432
URL:
https://github.com/apache/incubator-mxnet/issues/7591#issuecomment-480084992
@lance-cs-wz @tianhaijie Have you tried the most up to date package? Are you
still facing the problems?
lanking520 commented on issue #7044: Error compiling mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/7044#issuecomment-480084390
@BenEngbers Are you still facing the same problem?
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lanking520 commented on issue #6917: ImportError: You used to compile with
protoc --python_out=./ ./caffe.proto
URL:
https://github.com/apache/incubator-mxnet/issues/6917#issuecomment-480083908
Close this issue due to the inactivity. Currently we have full support on
ONNX where you can
lanking520 closed issue #6917: ImportError: You used to compile with protoc
--python_out=./ ./caffe.proto
URL: https://github.com/apache/incubator-mxnet/issues/6917
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aaronmarkham commented on a change in pull request #14592: Add BERT QA
Scala/Java example
URL: https://github.com/apache/incubator-mxnet/pull/14592#discussion_r272388796
##
File path:
scala-package/examples/src/main/java/org/apache/mxnetexamples/javaapi/infer/bert/README.md
stu1130 opened a new pull request #14621: [WIP][Dependency Update] Update
libjpeg-turbo to 2.0.2
URL: https://github.com/apache/incubator-mxnet/pull/14621
## Description ##
Upgrade the libjpeg-turbo to **2.0.2** due to the issue at 1.5.90
1. [divide by zero when processing a crafted
roywei commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272281085
##
File path:
roywei commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272281252
##
File path:
lanking520 commented on issue #4159: How to bind 3 inputs using
mxnet.io.NDArrayIter?
URL:
https://github.com/apache/incubator-mxnet/issues/4159#issuecomment-480081968
Close this issue due to the inactivity. Please feel free to reopen this if
you are still facing the same problems.
lanking520 commented on issue #5487: "Check if MXNet is installed": Python
import error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-480081384
@PeterFelixNguyen Are you still facing this problems?
anirudh2290 commented on a change in pull request #14173: [WIP] MXNet AMP
(automatic mixed precision)
URL: https://github.com/apache/incubator-mxnet/pull/14173#discussion_r272388590
##
File path: python/mxnet/amp/lists/symbol.py
##
@@ -0,0 +1,177 @@
+# Licensed to the
roywei commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272386502
##
File path:
lanking520 closed issue #4159: How to bind 3 inputs using mxnet.io.NDArrayIter?
URL: https://github.com/apache/incubator-mxnet/issues/4159
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roywei commented on a change in pull request #14587: [MXNET-1344, 1346][FIT
API] Retrieve Batch size and Logging verbose support for Gluon fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14587#discussion_r272282374
##
File path:
abhinavs95 edited a comment on issue #14373: Passing parameters to HybridBlocks
and not using them
URL:
https://github.com/apache/incubator-mxnet/issues/14373#issuecomment-479228739
@whamza15 This is not an issue of not using all variables in hybrid_forward
as the following test works
anirudh2290 commented on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480074711
Thanks for starting this! I would like to include exception handling fixes:
#14397 (@anirudh2290), #14433(@anirudh2290) , #14575
yuxihu commented on a change in pull request #14615: Add PushAsyncPtr and
PushSyncPtr APIs in engine
URL: https://github.com/apache/incubator-mxnet/pull/14615#discussion_r272351599
##
File path: src/engine/engine.cc
##
@@ -67,4 +67,26 @@ Engine* Engine::Get() {
static
stu1130 opened a new pull request #14620: [WIP][Dependency Update] Upgrade the
libpng to 1.6.35
URL: https://github.com/apache/incubator-mxnet/pull/14620
## Description ##
Upgrade the libpng package to **1.6.35** due to following issues at 1.6.34.
1. [SEGV in function
eric-haibin-lin commented on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480062264
Hi everyone, I've created v1.5.x branch here:
https://github.com/apache/incubator-mxnet/tree/v1.5.x
Before we have an agreement on
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haibin pushed a change to branch v1.5.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
at 5f19362 fix tests (#14565)
No new revisions were added by this update.
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zhasheng 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 0e5b876 Bump the publish
yuxihu commented on a change in pull request #14615: Add PushAsyncPtr and
PushSyncPtr APIs in engine
URL: https://github.com/apache/incubator-mxnet/pull/14615#discussion_r272351599
##
File path: src/engine/engine.cc
##
@@ -67,4 +67,26 @@ Engine* Engine::Get() {
static
drivanov commented on issue #14443: Mxnet allclose
URL: https://github.com/apache/incubator-mxnet/pull/14443#issuecomment-480047448
I think that it is a good time to merge these changes.
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samskalicky commented on issue #14570: [WIP] use a compile flag to use int64
tensor size
URL: https://github.com/apache/incubator-mxnet/pull/14570#issuecomment-480044526
@larroy the dimension can be -1 if its unknown, or if -1 refers to the last
dimension. So we do have to use signed
larroy edited a comment on issue #13472: [WIP][Don't merge] Comment out
dmlc::SetEnv in pthread_atfork #13438
URL: https://github.com/apache/incubator-mxnet/pull/13472#issuecomment-480044194
I think we need to do more testing to be confident that the solution is
solid. I can do it during
larroy commented on issue #13472: [WIP][Don't merge] Comment out dmlc::SetEnv
in pthread_atfork #13438
URL: https://github.com/apache/incubator-mxnet/pull/13472#issuecomment-480044194
I think we need to do more testing to be confident that the solution is
solid. I can do it during my next
larroy commented on a change in pull request #14570: [WIP] use a compile flag
to use int64 tensor size
URL: https://github.com/apache/incubator-mxnet/pull/14570#discussion_r272345438
##
File path: include/mxnet/tensor_blob.h
##
@@ -456,7 +456,7 @@ class FieldEntry
abhinavs95 commented on issue #13943: mxnet read jpeg images give different
values compared with other libs
URL:
https://github.com/apache/incubator-mxnet/issues/13943#issuecomment-480039605
Hi @2void mxnet.image.imread() uses opencv imread under the hood. Using the
snippet below we can
szha commented on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480038281
The changes since 1.4.0 release that are already merged in the master branch
will be included in the 1.5.0 release. The list can be found at:
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zhasheng pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
new ac918d6 Bump the publish
anirudh2290 commented on a change in pull request #14570: [WIP] use a compile
flag to use int64 tensor size
URL: https://github.com/apache/incubator-mxnet/pull/14570#discussion_r272331656
##
File path: Makefile
##
@@ -188,6 +188,11 @@ ifeq ($(USE_OPERATOR_TUNING), 1)
mxnet-label-bot commented on issue #14619: [Discussion] 1.5.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/14619#issuecomment-480029433
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the appropriate
szha opened a new issue #14619: [Discussion] 1.5.0 Roadmap
URL: https://github.com/apache/incubator-mxnet/issues/14619
Let's start a discussion here about the roadmap towards 1.5.0. We are
looking for:
- New features that are useful to your research
- Improvements and patches to
szha commented on issue #9686: MXNet 2.0 Roadmap (was: APIs that might be a
good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-480028311
lanking520 commented on issue #14558: How to read multi-rec files efficiently?
URL:
https://github.com/apache/incubator-mxnet/issues/14558#issuecomment-480018040
@weihua04 could you please share your code in here?
This is
anirudh2290 commented on a change in pull request #14615: Add PushAsyncPtr and
PushSyncPtr APIs in engine
URL: https://github.com/apache/incubator-mxnet/pull/14615#discussion_r272315914
##
File path: src/engine/engine.cc
##
@@ -67,4 +67,26 @@ Engine* Engine::Get() {
anirudh2290 commented on a change in pull request #14575: fix custom exception
handling
URL: https://github.com/apache/incubator-mxnet/pull/14575#discussion_r272305858
##
File path: src/operator/custom/custom-inl.h
##
@@ -96,7 +96,14 @@ class CustomOperator {
bool
anirudh2290 commented on a change in pull request #14575: fix custom exception
handling
URL: https://github.com/apache/incubator-mxnet/pull/14575#discussion_r272302780
##
File path: src/engine/threaded_engine.cc
##
@@ -373,10 +374,12 @@ void
piyushghai commented on issue #13472: [WIP][Don't merge] Comment out
dmlc::SetEnv in pthread_atfork #13438
URL: https://github.com/apache/incubator-mxnet/pull/13472#issuecomment-480008047
@larroy Gentle ping.
This is an
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lanking pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 43f7c12 added note about cuda9.2
lanking520 merged pull request #14140: Doc Fix: added note about cuda9.2
requirement to Java example
URL: https://github.com/apache/incubator-mxnet/pull/14140
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mxnet-label-bot commented on issue #14618: Consistent crash on CI test Python3:
TensorRT GPU
URL:
https://github.com/apache/incubator-mxnet/issues/14618#issuecomment-480003195
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
lanking520 opened a new issue #14618: Consistent crash on CI test Python3:
TensorRT GPU
URL: https://github.com/apache/incubator-mxnet/issues/14618
This test is failed at:
```
===
Model: cifar_resnet20_v1
piyushghai commented on issue #14140: Doc Fix: added note about cuda9.2
requirement to Java example
URL: https://github.com/apache/incubator-mxnet/pull/14140#issuecomment-480001337
@lanking520 @samskalicky @zachgk Can we take this PR to completion ?
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reminisce pushed a change to branch numpy
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
discard 29281cd [Numpy] fix
test_operator_gpu.test_upsampling_bilinear_with_type (#14557)
discard cc078c2
piyushghai commented on issue #12641: Add docker file which includes sample
jupyter notebook (#12611)
URL: https://github.com/apache/incubator-mxnet/pull/12641#issuecomment-47992
@gautamkmr Any updates on this PR ?
This
piyushghai commented on issue #12440: Add stable nrm2 for L2 normalization
URL: https://github.com/apache/incubator-mxnet/pull/12440#issuecomment-47717
@TD Ping again.
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piyushghai commented on issue #11184: Make amalgamation part be suitable for iOS
URL: https://github.com/apache/incubator-mxnet/pull/11184#issuecomment-47540
@Aozorany This PR seems to be inactive for a long time. If there's any help
you need to take this PR forward please feel free to
abhinavs95 commented on issue #13126: Can't break loop when using > 1 worker
with DataLoader
URL:
https://github.com/apache/incubator-mxnet/issues/13126#issuecomment-479995189
Hi @ThomasDelteil I think this issue is fixed in 1.4.0, I am able to run
your example with no errors. Also
yuxihu edited a comment on issue #14615: Add PushAsyncPtr and PushSyncPtr APIs
in engine
URL: https://github.com/apache/incubator-mxnet/pull/14615#issuecomment-479971567
> It is better to use the pure C type in the parameters list.
> Because different compilers (such as gcc, clang,
piyushghai commented on issue #14617: PDF operators for the random samplers,
and also the Dirichlet
URL: https://github.com/apache/incubator-mxnet/pull/14617#issuecomment-479993149
Thanks for migrating your PR from v1.3.x branch to master.
@mxnet-label-bot Add [pr-awaiting-review,
piyushghai commented on issue #14616: Safer norm
URL: https://github.com/apache/incubator-mxnet/pull/14616#issuecomment-479992079
Thanks for your contributions @haojin2. Can you also look into the CI
failures ?
@mxnet-label-bot Add [Operator, Backend]
abhinavs95 commented on issue #13313: error when DataLoader's num_workers is
not 0
URL:
https://github.com/apache/incubator-mxnet/issues/13313#issuecomment-479990693
@mengjiexu looks like #14541 is a duplicate issue of this. Acc @zhreshold
comment there the issue is fixed in 1.4.0 and
piyushghai commented on issue #14615: Add PushAsyncPtr and PushSyncPtr APIs in
engine
URL: https://github.com/apache/incubator-mxnet/pull/14615#issuecomment-479990917
Thanks for your contributions @yuxihu.
@mxnet-label-bot Add [Backend]
piyushghai commented on issue #14613: [MXNET-978] Higher order gradient support
for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#issuecomment-479989084
Thanks for your contributions @apeforest. Can you also look into the CI
failures ?
abhinavs95 commented on issue #14505: RandomResizedCrop produces wrong aspect
ratios.
URL:
https://github.com/apache/incubator-mxnet/issues/14505#issuecomment-479988230
@mzient fix in #14585. Thank you for your solution.
lanking520 commented on issue #14592: Add BERT QA Scala/Java example
URL: https://github.com/apache/incubator-mxnet/pull/14592#issuecomment-479982098
@aaronmarkham @piyushghai @zachgk Could you please double check
This is an
arcadiaphy edited a comment on issue #14575: fix custom exception handling
URL: https://github.com/apache/incubator-mxnet/pull/14575#issuecomment-479971760
@anirudh2290 I've simplified the exception catching according to your
suggestion.
Agreed that the situation 2 is really tricky,
arcadiaphy commented on a change in pull request #14575: fix custom exception
handling
URL: https://github.com/apache/incubator-mxnet/pull/14575#discussion_r272267663
##
File path: tests/python/unittest/test_operator.py
##
@@ -5237,6 +5238,17 @@ def custom_add():
arcadiaphy commented on a change in pull request #14575: fix custom exception
handling
URL: https://github.com/apache/incubator-mxnet/pull/14575#discussion_r272267517
##
File path: src/operator/custom/custom-inl.h
##
@@ -172,10 +186,16 @@ class CustomOperator {
arcadiaphy edited a comment on issue #14575: fix custom exception handling
URL: https://github.com/apache/incubator-mxnet/pull/14575#issuecomment-479971760
@anirudh2290 I've simplified the exception catching according to your
suggestion.
Agreed that the situation 2 is really tricky,
arcadiaphy commented on issue #14575: fix custom exception handling
URL: https://github.com/apache/incubator-mxnet/pull/14575#issuecomment-479971760
@anirudh2290 I've simplified the exception catching according to your
suggestion.
Agreed that the situation 2 is really tricky, because
yuxihu commented on issue #14615: Add PushAsyncPtr and PushSyncPtr APIs in
engine
URL: https://github.com/apache/incubator-mxnet/pull/14615#issuecomment-479971567
> It is better to use the pure C type in the parameters list.
> Because different compilers (such as gcc, clang, msvc) may
wkcn commented on issue #14615: Add PushAsyncPtr and PushSyncPtr APIs in engine
URL: https://github.com/apache/incubator-mxnet/pull/14615#issuecomment-479964104
It is better to use the pure C type in the parameters list.
Because different compilers (such as gcc, clang, msvc) may have
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