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add 6d5e471 Mark CD quantization tests as xfail on ,
bgawrych opened a new pull request #18316:
URL: https://github.com/apache/incubator-mxnet/pull/18316
## Description ##
Fix for LSTM and GRU layers without DNNL enabled give wrong gradients #17898
For bidiractional LSTM with number of layers > 2 input gradient calculation
was
mxnet-bot commented on pull request #18316:
URL: https://github.com/apache/incubator-mxnet/pull/18316#issuecomment-628439726
Hey @bgawrych , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
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leezu closed issue #18099:
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leezu merged pull request #18292:
URL: https://github.com/apache/incubator-mxnet/pull/18292
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from effbb8b Changes to mxnet.metric (#18083)
add 6d5e471 Mark CD quantization tests as xfail on ,
hzfan commented on a change in pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#discussion_r424862190
##
File path: src/operator/numpy/linalg/np_qr-inl.h
##
@@ -514,15 +548,28 @@ struct qr_backward {
template
size_t
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leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628407634
To get the backtrace in gdb, use the example without the for loop in the end
```
import gc
gc.set_debug(gc.DEBUG_SAVEALL)
import mxnet as mx
net =
mxnet-bot commented on pull request #18315:
URL: https://github.com/apache/incubator-mxnet/pull/18315#issuecomment-628421472
Hey @leezu , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following
leezu opened a new pull request #18315:
URL: https://github.com/apache/incubator-mxnet/pull/18315
Fix MXNet trapping the segfault signal and preventing coredumps being
generated.
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lausen pushed a change to branch master
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from effbb8b Changes to mxnet.metric (#18083)
add 6d5e471 Mark CD quantization tests as xfail on ,
leezu merged pull request #18307:
URL: https://github.com/apache/incubator-mxnet/pull/18307
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leezu edited a comment on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628407634
Use https://github.com/apache/incubator-mxnet/pull/18315 to get the coredump
associated with the segfault
```
#0 __GI_raise (sig=sig@entry=6) at
leezu edited a comment on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628407634
Use https://github.com/apache/incubator-mxnet/pull/18315 to get the coredump
associated with the segfault. Loading it with gdb gives this backtrace
```
#0
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bgawrych opened a new pull request #18317:
URL: https://github.com/apache/incubator-mxnet/pull/18317
## Description ##
Fix for LSTM and GRU layers without DNNL enabled give wrong gradients #17898
For bidiractional LSTM with number of layers > 2 input gradient calculation
was
mxnet-bot commented on pull request #18317:
URL: https://github.com/apache/incubator-mxnet/pull/18317#issuecomment-628452048
Hey @bgawrych , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
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ys2843 edited a comment on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-627140517
@mxnet-label-bot add [pr-awaiting-review]
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ys2843 edited a comment on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-627140517
@mxnet-label-bot update [pr-awaiting-review]
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from effbb8b Changes to mxnet.metric (#18083)
add 6d5e471 Mark CD quantization tests as xfail on ,
yzhliu commented on issue #18297:
URL:
https://github.com/apache/incubator-mxnet/issues/18297#issuecomment-628443160
@JiangZhaoh will be helping to document.
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TriLoo edited a comment on issue #18295:
URL:
https://github.com/apache/incubator-mxnet/issues/18295#issuecomment-628443534
a wrong input caused this error, and this error is fixed now. thank. @leezu
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TriLoo commented on issue #18295:
URL:
https://github.com/apache/incubator-mxnet/issues/18295#issuecomment-628443534
a wrong input caused this error, and this error is fixed now. thank
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TriLoo closed issue #18295:
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hzfan commented on a change in pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#discussion_r424862190
##
File path: src/operator/numpy/linalg/np_qr-inl.h
##
@@ -514,15 +548,28 @@ struct qr_backward {
template
size_t
mseth10 commented on a change in pull request #25:
URL: https://github.com/apache/incubator-mxnet-ci/pull/25#discussion_r424936190
##
File path: services/jenkins-pipeline-monitor/deploy_lambda.sh
##
@@ -0,0 +1,16 @@
+set -e
+
+echo "Deployment stage (test, prod)"
+read
mseth10 commented on a change in pull request #25:
URL: https://github.com/apache/incubator-mxnet-ci/pull/25#discussion_r424943504
##
File path: services/jenkins-pipeline-monitor/handler.py
##
@@ -0,0 +1,134 @@
+import os
+import boto3
+import json
+import logging
+import
hgt312 commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628473298
@yzhliu @sxjscience Any thoughts on the conversion rules?
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ChaiBapchya edited a comment on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628826234
Search feature looks great.
Nice to see we leveraging third-party to solve our search problem.
Q1. This feature is currently only for landing page
ChaiBapchya commented on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628826234
Search feature looks great.
Nice to see we leveraging third-party to solve our search problem.
Q1. This feature is currently only for landing page right?
access2rohit commented on a change in pull request #18324:
URL: https://github.com/apache/incubator-mxnet/pull/18324#discussion_r425359944
##
File path: benchmark/opperf/README.md
##
@@ -167,6 +167,41 @@ Output for the above benchmark run, on a CPU machine,
would look
rajkinra23 commented on issue #13288:
URL:
https://github.com/apache/incubator-mxnet/issues/13288#issuecomment-628874551
> I still have linking errors in creating `bin/im2rec` with OpenCV 4.0.1
(MXNet HEAD:
leezu merged pull request #18312:
URL: https://github.com/apache/incubator-mxnet/pull/18312
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mxnet-bot commented on pull request #18328:
URL: https://github.com/apache/incubator-mxnet/pull/18328#issuecomment-628965083
Hey @leezu , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following
leezu opened a new pull request #18328:
URL: https://github.com/apache/incubator-mxnet/pull/18328
## Description ##
Previously the _BlockScope keeps references to the parameter ndarrays,
preventing memory from being freed if a Block is not used anymore. Among other
problems, this
leezu closed issue #18314:
URL: https://github.com/apache/incubator-mxnet/issues/18314
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leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628969701
Let's close this issue as it's specific to the use of gc.DEBUG_SAVEALL
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eric-haibin-lin commented on a change in pull request #18306:
URL: https://github.com/apache/incubator-mxnet/pull/18306#discussion_r425521065
##
File path: src/profiler/storage_profiler.h
##
@@ -52,6 +54,12 @@ class DeviceStorageProfiler {
if
leezu opened a new issue #18330:
URL: https://github.com/apache/incubator-mxnet/issues/18330
http://jenkins.mxnet-ci.amazon-ml.com/blue/rest/organizations/jenkins/pipelines/mxnet-validation/pipelines/unix-cpu/branches/PR-18284/runs/6/nodes/364/steps/731/log/?start=0
```
heaseny opened a new issue #18329:
URL: https://github.com/apache/incubator-mxnet/issues/18329
## Description
On master branch, when execute the below commands,
python -c "import gluoncv" or python -c "import mxnet as mx;
print(mx.metric)" , an error raised with message: 'mxnet' has
ys2843 commented on a change in pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#discussion_r425533141
##
File path: docs/static_site/src/assets/js/globalSearch.js
##
@@ -0,0 +1,152 @@
+/*!
+ * Licensed to the Apache Software Foundation (ASF)
JustinhoCHN commented on issue #17923:
URL:
https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628964002
> Do you still have the image which you used on your Jetson Nano? Nvidia
keeps on updating their images regularly and I ended up with CUDA 10.2 :/
>
> Edit:
heaseny commented on pull request #18289:
URL: https://github.com/apache/incubator-mxnet/pull/18289#issuecomment-628970117
@szha Can you help to review this pull request, and merge it if there is no
problem? Thanks a lot.
leezu edited a comment on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628969701
Let's close this issue as it's specific to the use of gc.DEBUG_SAVEALL. The
leak is fixed in https://github.com/apache/incubator-mxnet/pull/18328
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ys2843 edited a comment on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628990327
> Looks good.
>
> * Should we use offsite js files or host locally?
> * Should the API key be in a js file are can it be in a config file so we
keep
ys2843 edited a comment on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628990327
> Looks good.
>
> * Should we use offsite js files or host locally?
> * Should the API key be in a js file are can it be in a config file so we
keep
ys2843 commented on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628990327
> Looks good.
>
> * Should we use offsite js files or host locally?
> * Should the API key be in a js file are can it be in a config file so we
keep this
chinakook closed issue #18170:
URL: https://github.com/apache/incubator-mxnet/issues/18170
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chinakook commented on issue #18170:
URL:
https://github.com/apache/incubator-mxnet/issues/18170#issuecomment-628999182
@ptrendx Thank for your reply. It's solved by using right version of
gfortran in Ubuntu 20.04.
This is
leezu closed issue #18329:
URL: https://github.com/apache/incubator-mxnet/issues/18329
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leezu commented on issue #18329:
URL:
https://github.com/apache/incubator-mxnet/issues/18329#issuecomment-628977295
MXNet 2 moves the metric API to mx.gluon.metric
gluoncv is not yet compatible with MXNet 2, but you can use MXNet 1.x branch
Closing as this is not an issue in
ys2843 commented on a change in pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#discussion_r425524968
##
File path: docs/static_site/src/_includes/head.html
##
@@ -5,14 +5,15 @@
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zhreshold opened a new pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323
## Description ##
Fix #18322
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts with
mxnet-bot commented on pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323#issuecomment-628816516
Hey @zhreshold , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following
zhreshold commented on issue #18322:
URL:
https://github.com/apache/incubator-mxnet/issues/18322#issuecomment-628816780
This is very likely caused by parallel test. See
https://github.com/apache/incubator-mxnet/pull/18323
leezu commented on pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323#issuecomment-628822907
Could you clarify where the race occurs?
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anirudh2290 commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628831199
From https://docs.python.org/3/library/gc.html#gc.garbage , "Changed in
version 3.4: Following PEP 442, objects with a __del__() method don’t end up in
gc.garbage
ys2843 edited a comment on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628867702
> Search feature looks great.
> Nice to see we leveraging third-party to solve our search problem.
> Q1. This feature is currently only for landing page
zhreshold commented on pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323#issuecomment-628832894
If multiple tests want to create the rec file at the same time, the rec file
may be corrupted
This
ys2843 commented on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628867702
> Search feature looks great.
> Nice to see we leveraging third-party to solve our search problem.
> Q1. This feature is currently only for landing page right?
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aaronmarkham pushed a commit to branch asf-site
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anirudh2290 commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628821250
not sure completely what it is, but it could be that the one of the objects
in garbage is a ndarray and when you call print it calls its __repr__ and
asnumpy, the
mxnet-bot commented on pull request #18324:
URL: https://github.com/apache/incubator-mxnet/pull/18324#issuecomment-628821763
Hey @ChaiBapchya , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the
leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628821443
The mutex in above core dump is actually non existant. The problem here is
that the ffi call to MXNDArraySyncCopyToCPU passes a handle whose Chunk was
cleaned up. So the
ChaiBapchya opened a new pull request #18324:
URL: https://github.com/apache/incubator-mxnet/pull/18324
## Description ##
Currently opperf supports for mx.nd operators alone.
However, locally, one can test internal ops. Documenting it in readme.
@access2rohit
ChaiBapchya commented on a change in pull request #18324:
URL: https://github.com/apache/incubator-mxnet/pull/18324#discussion_r425364020
##
File path: benchmark/opperf/README.md
##
@@ -167,6 +167,41 @@ Output for the above benchmark run, on a CPU machine,
would look
leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628833322
That's because I set gc.set_debug(gc.DEBUG_SAVEALL). I want to preserve all
objects found by gc, because I need to figure out where the reference cycle
that prevented them
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leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628829305
I can confirm that __del__ is called on the object, but it's still kept
around in Python afterwards.
In practice that may only make problems when debugging memory leaks
leezu commented on pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323#issuecomment-628890535
Would creating the rec-file at a temporary path then solve the issue while
preserving parallelization? You can take the `tmp_path` argument in your test
function to
anirudh2290 commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628845269
> We see that after `del net` is called, two ndarrays are finalized thanks
to reference counting. 4 arrays are only finalized after a full garbage
collection.
ArmageddonKnight commented on a change in pull request #18228:
URL: https://github.com/apache/incubator-mxnet/pull/18228#discussion_r425317983
##
File path: python/mxnet/rnn/rnn_cell.py
##
@@ -459,6 +459,11 @@ def __call__(self, inputs, states):
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sxjscience commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628486640
In Jax, if any ndarray is a Jax ndarray, the result will also be a Jax
ndarray.
This is an
mseth10 commented on pull request #18083:
URL: https://github.com/apache/incubator-mxnet/pull/18083#issuecomment-628494904
@acphile this PR fails nightly CD while running nightly python unit tests.
The following tests fail:
test_mcc, test_multilabel_f1, test_binary_f1
mseth10 edited a comment on pull request #18083:
URL: https://github.com/apache/incubator-mxnet/pull/18083#issuecomment-628494904
@acphile this PR fails nightly CD while running nightly python unit tests.
The following tests fail:
test_mcc, test_multilabel_f1, test_binary_f1
hgt312 commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628565299
Jax does not implement inplace op overload like `__iadd__`. It is not a real
inplace operation.
In my opinion, inplace operation should keep its type, while the
JustinhoCHN commented on issue #17923:
URL:
https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628621084
> @JustinhoCHN what was the CUDA version of your Jetson Nano image? It gives
me the following error:
>
> ```
> >>> import mxnet
> Traceback (most recent
D-Roberts commented on a change in pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#discussion_r425140133
##
File path: src/operator/numpy/linalg/np_qr-inl.h
##
@@ -514,15 +548,28 @@ struct qr_backward {
template
size_t
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