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tobecontinued commented on pull request #17754:
URL: https://github.com/apache/incubator-mxnet/pull/17754#issuecomment-622706391
@kshitij12345 any update? thx.
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mxnet-bot commented on pull request #17977:
URL: https://github.com/apache/incubator-mxnet/pull/17977#issuecomment-622704300
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tobecontinued commented on pull request #17977:
URL: https://github.com/apache/incubator-mxnet/pull/17977#issuecomment-622703996
@mxnet-bot run ci [all]
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access2rohit commented on issue #17331:
URL:
https://github.com/apache/incubator-mxnet/issues/17331#issuecomment-622665471
@szha @eric-haibin-lin @apeforest
With current master and new broadcast_axis changes on p3.16xl single GPU
training run.
Bert Run Command:
```
py
access2rohit commented on issue #17331:
URL:
https://github.com/apache/incubator-mxnet/issues/17331#issuecomment-622660352
[new_bert_train.log](https://github.com/apache/incubator-mxnet/files/4567005/new_bert_train.log)
[new_lt_bert_train.log](https://github.com/apache/incubator-mxnet/
ys2843 commented on pull request #18188:
URL: https://github.com/apache/incubator-mxnet/pull/18188#issuecomment-622654275
@mxnet-bot run ci [windows-gpu, unix-gpu]
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mxnet-bot commented on pull request #18188:
URL: https://github.com/apache/incubator-mxnet/pull/18188#issuecomment-622654291
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leezu commented on pull request #18219:
URL: https://github.com/apache/incubator-mxnet/pull/18219#issuecomment-622649669
```
[2020-05-01T23:14:30.572Z]
tests/python/unittest/test_module.py::test_bucketing_save_load FAILED[ 42%]
[2020-05-01T23:14:30.572Z]
tests/python/unittest/tes
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ChaiBapchya commented on pull request #18201:
URL: https://github.com/apache/incubator-mxnet/pull/18201#issuecomment-622630202
It works as expected. The skip command in the test_large_vector.py is the
cause.
This is an auto
leezu commented on issue #15856:
URL:
https://github.com/apache/incubator-mxnet/issues/15856#issuecomment-622617937
```
[2020-05-01T23:59:35.381Z]
test_parallel_random_seed_setting_for_context _
[2020-05-01T23:59:35.381Z]
[2020-05-01T23:59:35.381Z
ChaiBapchya edited a comment on pull request #18178:
URL: https://github.com/apache/incubator-mxnet/pull/18178#issuecomment-622600123
@ciyongch Backported to 1.7.x #18220
Pl review/merge
Thanks
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ChaiBapchya commented on pull request #18178:
URL: https://github.com/apache/incubator-mxnet/pull/18178#issuecomment-622600123
@ciyongch Backported to 1.7.x
Pl review/merge
Thanks
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mureva opened a new issue #18221:
URL: https://github.com/apache/incubator-mxnet/issues/18221
I'm a little lost on using a custom loss function and would appreciate some
help.
I have a network which is doing some regression and have been using the
MAERegressionOutput with some succe
ChaiBapchya opened a new pull request #18220:
URL: https://github.com/apache/incubator-mxnet/pull/18220
@ciyongch @leezu
This unblocks the v1.7.x nightly test for binaries pipeline.
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mxnet-bot commented on pull request #18220:
URL: https://github.com/apache/incubator-mxnet/pull/18220#issuecomment-622593829
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 followin
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marcoabreu pushed a change to branch master
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from 5950d8c Improving performance of broadcast_axis on GPU (#18168)
add bbee33a Increase docker-compo
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mxnet-bot commented on pull request #18219:
URL: https://github.com/apache/incubator-mxnet/pull/18219#issuecomment-622585548
Hey @eric-haibin-lin , 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 foll
eric-haibin-lin opened a new pull request #18219:
URL: https://github.com/apache/incubator-mxnet/pull/18219
## Description ##
Fixes https://github.com/apache/incubator-mxnet/issues/17988
It turns out to be a general issue in the symbolic graph executor python
class, exposed by a spar
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szha commented on issue #14980:
URL:
https://github.com/apache/incubator-mxnet/issues/14980#issuecomment-622569697
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fcentos-cpu/detail/PR-18146/42/pipeline#step-96-log-126
--
haojin2 commented on pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#issuecomment-622563528
@D-Roberts Thanks for your contribution! From now and on please @yzhliu for
reviews of NumPy-related contributions since I'm moving my gravity from this
project.
---
D-Roberts commented on pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#issuecomment-622562860
@haojin2 PR ready for review, tnx.
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szhengac commented on issue #15533:
URL:
https://github.com/apache/incubator-mxnet/issues/15533#issuecomment-622540041
Putting lr inside the momentum is how Momentum SGD or NAG looks like
originally. But putting it outside momentum may be more robust to large batch
training in warmup stag
ys2843 commented on pull request #18188:
URL: https://github.com/apache/incubator-mxnet/pull/18188#issuecomment-622525419
@mxnet-bot run ci [windows-gpu]
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zhreshold commented on issue #15533:
URL:
https://github.com/apache/incubator-mxnet/issues/15533#issuecomment-622508807
I also agree that the compatibility of such change is not forced in the
upcoming 2.0, and it's extremely rare that you would save/load the states using
different mxnet v
mxnet-bot commented on pull request #18218:
URL: https://github.com/apache/incubator-mxnet/pull/18218#issuecomment-622508231
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 comm
leezu opened a new pull request #18218:
URL: https://github.com/apache/incubator-mxnet/pull/18218
Try
https://github.com/apache/incubator-mxnet/issues/17935#issuecomment-622244193
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ptrendx edited a comment on issue #15533:
URL:
https://github.com/apache/incubator-mxnet/issues/15533#issuecomment-622497178
Additional point here is that both TF and pyTorch use that proposed SGD
logic, different than MXNet.
I am looking into making that change, I'm not sure if we
ptrendx commented on issue #15533:
URL:
https://github.com/apache/incubator-mxnet/issues/15533#issuecomment-622497178
Additional point here is that both TF and pyTorch use that proposed SGD
logic, different than MXNet.
I am looking into making that change, I'm not sure if we need to
leezu commented on issue #18210:
URL:
https://github.com/apache/incubator-mxnet/issues/18210#issuecomment-622495110
Currently only committers can. Could you help fix that? (Though I don't know
how)
Essentially committers see a restart button where the cancel workflow button
is loca
ChaiBapchya commented on issue #18210:
URL:
https://github.com/apache/incubator-mxnet/issues/18210#issuecomment-622494622
@leezu How do u retrigger OSX jobs anyway?
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leezu commented on issue #17935:
URL:
https://github.com/apache/incubator-mxnet/issues/17935#issuecomment-622491496
There is another suggested fix at
https://github.com/pytorch/pytorch/issues/25393#issuecomment-619547577
cc @vexilligera
---
yzhliu opened a new issue #18217:
URL: https://github.com/apache/incubator-mxnet/issues/18217
https://mxnet.apache.org/api/python/docs/api/index.html
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access2rohit edited a comment on issue #18210:
URL:
https://github.com/apache/incubator-mxnet/issues/18210#issuecomment-622486807
https://github.com/apache/incubator-mxnet/pull/18168/checks?check_run_id=635874598
```
2020-05-01T09:39:15.0327350Z
tests/python/unittest/test_contrib_co
access2rohit commented on issue #18210:
URL:
https://github.com/apache/incubator-mxnet/issues/18210#issuecomment-622486807
https://github.com/apache/incubator-mxnet/pull/18168/checks?check_run_id=635874598
```
Test project
20m 0s
##[error]The operation was canceled.
Run pyth
leezu opened a new issue #18216:
URL: https://github.com/apache/incubator-mxnet/issues/18216
```
[2020-05-01T14:31:35.885Z]
tests/python/unittest/test_gluon.py::test_parameter PASSED [ 12%]
[2020-05-01T14:31:36.149Z]
tests/python/unittest/test_gluon.py::test_invalid
mxnet-bot commented on pull request #18202:
URL: https://github.com/apache/incubator-mxnet/pull/18202#issuecomment-622484771
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leezu commented on pull request #18202:
URL: https://github.com/apache/incubator-mxnet/pull/18202#issuecomment-622484719
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Manideep08 removed a comment on issue #5551:
URL:
https://github.com/apache/incubator-mxnet/issues/5551#issuecomment-622459757
I am also facing the same issue and my configuration is same
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Manideep08 commented on issue #5551:
URL:
https://github.com/apache/incubator-mxnet/issues/5551#issuecomment-622459757
I am also facing the same issue and my configuration is same
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ChaiBapchya commented on issue #15925:
URL:
https://github.com/apache/incubator-mxnet/issues/15925#issuecomment-622459040
Hasn't occurred so far [15 tests on commits merged into master for unix-gpu
pipeline]
Will keep monitoring & get back.
ChaiBapchya commented on a change in pull request #18205:
URL: https://github.com/apache/incubator-mxnet/pull/18205#discussion_r418167961
##
File path: tools/pip/setup.py
##
@@ -150,9 +150,8 @@ def skip_markdown_comments(md):
package_data = {'mxnet': [os.path.join('mxnet',
os
ChaiBapchya commented on pull request #18201:
URL: https://github.com/apache/incubator-mxnet/pull/18201#issuecomment-622446752
While this fix makes sure timeout doesn't happen, it results in few large
tensor tests getting skip, few tests pass
```
test session starts ==
mxnet-bot commented on pull request #18188:
URL: https://github.com/apache/incubator-mxnet/pull/18188#issuecomment-622436787
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URL: https://github.com/apache/incubator-mxnet/pull/18202#issuecomment-622352571
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hassonofer opened a new issue #18215:
URL: https://github.com/apache/incubator-mxnet/issues/18215
## Description
Global pool that is defined without kernel, like:
```
x = mx.sym.Pooling(data=x, global_pool=True, pool_type="avg")
```
Cannot be exported to ONNX, even though
vexilligera commented on a change in pull request #18189:
URL: https://github.com/apache/incubator-mxnet/pull/18189#discussion_r418464376
##
File path: ci/docker/Dockerfile.build.ubuntu
##
@@ -127,6 +127,11 @@ RUN /work/ubuntu_julia.sh
COPY install/ubuntu_perl.sh /work/
RUN /
moured opened a new issue #18214:
URL: https://github.com/apache/incubator-mxnet/issues/18214
## Description
I am trying to export pretrained GlueonCv Faster R-CNN models to onnx format
but I am facing a problem.
### Error Message
**No conversion function registered for op ty
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