yzhliu commented on issue #18299:
URL:
https://github.com/apache/incubator-mxnet/issues/18299#issuecomment-631895809
@BenjaminCHEN2016 will be helping after #18277 is merged.
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sxjscience commented on pull request #18377:
URL: https://github.com/apache/incubator-mxnet/pull/18377#issuecomment-631893145
@xinyu-intel I think the fix should also be in 1.7.
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ciyongch commented on pull request #18339:
URL: https://github.com/apache/incubator-mxnet/pull/18339#issuecomment-631892368
Hi @waytrue17 , please help to re-trigger the job of `unix-gpu` and
`website`, they should pass .
While for `edge` job, seems `CUDAToolkit_INCLUDE_DIR
pengzhao-intel commented on pull request #18320:
URL: https://github.com/apache/incubator-mxnet/pull/18320#issuecomment-631891084
Please add the new op into our list
https://mxnet.apache.org/versions/1.5.0/tutorials/mkldnn/operator_list.html
pengzhao-intel commented on pull request #18320:
URL: https://github.com/apache/incubator-mxnet/pull/18320#issuecomment-631890258
Thanks, @bgawrych thanks for the contribution :)
You can cc Tao and me when you filed a PR so that we can notice reviewing
your code in time and please
sxjscience opened a new pull request #18377:
URL: https://github.com/apache/incubator-mxnet/pull/18377
## Description ##
Fix https://github.com/apache/incubator-mxnet/issues/18373.
The PR https://github.com/apache/incubator-mxnet/pull/17679 introduced the
bug @xinyu-intel
mxnet-bot commented on pull request #18377:
URL: https://github.com/apache/incubator-mxnet/pull/18377#issuecomment-631889732
Hey @sxjscience , Thanks for submitting the PR
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leezu commented on issue #18224:
URL:
https://github.com/apache/incubator-mxnet/issues/18224#issuecomment-631875252
Close due to lack of response
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URL: https://github.com/apache/incubator-mxnet/issues/18224
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leezu commented on pull request #18326:
URL: https://github.com/apache/incubator-mxnet/pull/18326#issuecomment-631874733
@mxnet-bot run ci [miscellaneous]
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URL: https://github.com/apache/incubator-mxnet/pull/18326#issuecomment-631874756
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xidulu commented on issue #18353:
URL:
https://github.com/apache/incubator-mxnet/issues/18353#issuecomment-631867278
Actually, a warning would be thrown out
```python
>>> np.ones((2,2),dtype='float64') / np.zeros((2,2))
[04:07:01]
xinyu-intel commented on pull request #18160:
URL: https://github.com/apache/incubator-mxnet/pull/18160#issuecomment-631840953
@szha can you help take a look at the ci?
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TriLoo closed issue #18364:
URL: https://github.com/apache/incubator-mxnet/issues/18364
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TriLoo commented on issue #18364:
URL:
https://github.com/apache/incubator-mxnet/issues/18364#issuecomment-631839359
thanks for your reply @zhreshold .
I tried again and the problem on my machine still exists, through the
`libiomp5` is added. The training log does not start in my case
Tommliu commented on pull request #18277:
URL: https://github.com/apache/incubator-mxnet/pull/18277#issuecomment-631837184
@yzhliu This pr contains the fix to that issue #18068
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Tommliu commented on pull request #18277:
URL: https://github.com/apache/incubator-mxnet/pull/18277#issuecomment-631836284
still working on fixing those tests cause these operators are written in
many different files
This
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leezu merged pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323
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leezu closed issue #18322:
URL: https://github.com/apache/incubator-mxnet/issues/18322
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ChaiBapchya commented on pull request #26:
URL: https://github.com/apache/incubator-mxnet-ci/pull/26#issuecomment-631815539
@marcoabreu @mseth10 please review. Thanks
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ChaiBapchya commented on a change in pull request #25:
URL: https://github.com/apache/incubator-mxnet-ci/pull/25#discussion_r428388840
##
File path: services/jenkins-pipeline-monitor/handler.py
##
@@ -0,0 +1,134 @@
+import os
+import boto3
+import json
+import logging
+import
ChaiBapchya opened a new pull request #26:
URL: https://github.com/apache/incubator-mxnet-ci/pull/26
Based on the discussion in the previous PR
https://github.com/apache/incubator-mxnet-ci/pull/25#discussion_r427626182
Build selection from the latest day logic is now set to span
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yzhliu commented on issue #18300:
URL:
https://github.com/apache/incubator-mxnet/issues/18300#issuecomment-631800832
We might postpone to support it after 2.0. Let's still leave the v2.0 label
and revisit if we have time before the release.
yzhliu commented on issue #18301:
URL:
https://github.com/apache/incubator-mxnet/issues/18301#issuecomment-631801019
We might postpone to support it after 2.0. Let's still leave the v2.0 label
and revisit if we have time before the release.
mxnet-bot commented on pull request #18376:
URL: https://github.com/apache/incubator-mxnet/pull/18376#issuecomment-631791896
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leezu opened a new pull request #18376:
URL: https://github.com/apache/incubator-mxnet/pull/18376
## Description ##
Fix reference leak in Block._children and enable reference leak tests
universally.
Extends https://github.com/apache/incubator-mxnet/pull/18328
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eric-haibin-lin merged pull request #17749:
URL: https://github.com/apache/incubator-mxnet/pull/17749
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sxjscience commented on issue #18353:
URL:
https://github.com/apache/incubator-mxnet/issues/18353#issuecomment-631768898
I think we should throw the error. Currently, `float64` + `float32` cannot
be mixed for division and we haven't raised the error.
sxjscience commented on pull request #18277:
URL: https://github.com/apache/incubator-mxnet/pull/18277#issuecomment-631768411
I think it will resolve the issue. However, the tests are still failing.
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leezu merged pull request #18363:
URL: https://github.com/apache/incubator-mxnet/pull/18363
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yzhliu commented on pull request #18277:
URL: https://github.com/apache/incubator-mxnet/pull/18277#issuecomment-631751095
would this also resolve #18068 ?
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yzhliu closed issue #18193:
URL: https://github.com/apache/incubator-mxnet/issues/18193
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yzhliu commented on issue #18193:
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https://github.com/apache/incubator-mxnet/issues/18193#issuecomment-631749885
should be resolved by #18200
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waytrue17 commented on pull request #18339:
URL: https://github.com/apache/incubator-mxnet/pull/18339#issuecomment-631738886
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zhreshold commented on issue #18364:
URL:
https://github.com/apache/incubator-mxnet/issues/18364#issuecomment-631697554
@TriLoo I found myself that the issue is not reproducible as I am able to
pass throught the pool creation code. However, due to latest weakref
nickguletskii opened a new pull request #18375:
URL: https://github.com/apache/incubator-mxnet/pull/18375
## Description ##
Cherry pick 36c87c3521a227d978e06f95a1a1447121feb967 onto v1.x to fix #18298
## Checklist ##
### Essentials ###
Please feel free to remove
leezu opened a new issue #18374:
URL: https://github.com/apache/incubator-mxnet/issues/18374
Last build is from 20200504.
cc: @yajiedesign are you aware? This currently breaks the GluonNLP Windows CI
https://github.com/sxjscience/gluon-nlp/runs/687011402?check_suite_focus=true
mxnet-bot commented on pull request #18375:
URL: https://github.com/apache/incubator-mxnet/pull/18375#issuecomment-631676060
Hey @nickguletskii , Thanks for submitting the PR
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leezu commented on a change in pull request #18362:
URL: https://github.com/apache/incubator-mxnet/pull/18362#discussion_r428250452
##
File path: python/mxnet/libinfo.py
##
@@ -73,6 +73,11 @@ def find_lib_path(prefix='libmxnet'):
'List of
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URL: https://github.com/apache/incubator-mxnet/pull/18362
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leezu commented on issue #18057:
URL:
https://github.com/apache/incubator-mxnet/issues/18057#issuecomment-631670828
@mseth10
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leezu commented on pull request #18365:
URL: https://github.com/apache/incubator-mxnet/pull/18365#issuecomment-631670657
> Will not pass CI.
Why do you think so. The CI does not rely on the `libmxnet.a`.
This is an
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sxjscience commented on issue #18373:
URL:
https://github.com/apache/incubator-mxnet/issues/18373#issuecomment-631629163
I find that issue does not only happen in numpy but also exists in ndarray:
```python
import mxnet as mx
import json
import pprint
#mx.npx.set_np()
net
wkcn commented on issue #18333:
URL:
https://github.com/apache/incubator-mxnet/issues/18333#issuecomment-631608741
Hi @John1231983 , using `mx.nd.pick` will simplify the code.
```python
import mxnet as mx
B, C, H, W = 2, 2, 3, 4
x = mx.random.uniform(-1, 1, shape=(B, C,
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aaronmarkham merged pull request #18340:
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szha closed issue #18367:
URL: https://github.com/apache/incubator-mxnet/issues/18367
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szha merged pull request #18369:
URL: https://github.com/apache/incubator-mxnet/pull/18369
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John1231983 commented on issue #18333:
URL:
https://github.com/apache/incubator-mxnet/issues/18333#issuecomment-631503870
Any suggestion?
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JiangZhaoh edited a comment on pull request #18089:
URL: https://github.com/apache/incubator-mxnet/pull/18089#issuecomment-631412311
For `npx.index_add(a, ind, val)`, now it supports int32 or int64 tensor
`ind`, and both int or float tensor `a` and `val`. But it requires the dtype
of `a`
JiangZhaoh commented on pull request #18089:
URL: https://github.com/apache/incubator-mxnet/pull/18089#issuecomment-631412311
For `npx.index_add(a, ind, val)`, now it supports int32 or int64 tensor
`ind`, and both int or float tensor `a` and `val`. But it requires the dtype
of 'a' and
cbalint13 edited a comment on pull request #18365:
URL: https://github.com/apache/incubator-mxnet/pull/18365#issuecomment-631362413
> > In current static mode a large static object and a small shared
surrogate is build, that's it now.
>
> Actually not. There is a hack further down
cbalint13 commented on pull request #18365:
URL: https://github.com/apache/incubator-mxnet/pull/18365#issuecomment-631362413
> > In current static mode a large static object and a small shared
surrogate is build, that's it now.
>
> Actually not. There is a hack further down in the
mxnet-bot commented on pull request #18365:
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sxjscience opened a new issue #18373:
URL: https://github.com/apache/incubator-mxnet/issues/18373
```python
import mxnet as mx
import json
import pprint
mx.npx.set_np()
net = mx.gluon.nn.BatchNorm(epsilon=2E-5, axis=2)
net.hybridize()
net.initialize()
a =
bgawrych commented on pull request #18317:
URL: https://github.com/apache/incubator-mxnet/pull/18317#issuecomment-631330615
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JustinhoCHN commented on issue #18057:
URL:
https://github.com/apache/incubator-mxnet/issues/18057#issuecomment-631329087
@kmfrick Hi, any update here? I can install mxnet v1.6 on jetson nano with
jetpack 4.3, as link here: #17923 but I haven't try it on jetpack 4.4, I
prefer building a
sxjscience commented on a change in pull request #18277:
URL: https://github.com/apache/incubator-mxnet/pull/18277#discussion_r427795479
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -2660,6 +2660,67 @@ def hybrid_forward(self, F, a, b, *args, **kwargs):
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acphile opened a new issue #18372:
URL: https://github.com/apache/incubator-mxnet/issues/18372
https://github.com/apache/incubator-mxnet/blob/master/tests/python/unittest/test_gluon_estimator.py#L423
Actually val_net.output does not share the same parameters with net.output
in this
yajiedesign commented on a change in pull request #18362:
URL: https://github.com/apache/incubator-mxnet/pull/18362#discussion_r427779970
##
File path: python/mxnet/libinfo.py
##
@@ -73,6 +73,11 @@ def find_lib_path(prefix='libmxnet'):
'List of
yajiedesign commented on a change in pull request #18362:
URL: https://github.com/apache/incubator-mxnet/pull/18362#discussion_r427778721
##
File path: python/mxnet/libinfo.py
##
@@ -73,6 +73,11 @@ def find_lib_path(prefix='libmxnet'):
'List of
leezu commented on a change in pull request #18362:
URL: https://github.com/apache/incubator-mxnet/pull/18362#discussion_r427774535
##
File path: python/mxnet/libinfo.py
##
@@ -73,6 +73,11 @@ def find_lib_path(prefix='libmxnet'):
'List of
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