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ciyongch commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652796279
@TaoLv helped to merge that PR, please help to check if the current code
base works expected or not :)
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ciyongch commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652792263
Sure, that one should be fine, how about the rest of two PRs? May I know how
much effort and time you'll need to backport them? Thanks!
ciyongch commented on pull request #18653:
URL: https://github.com/apache/incubator-mxnet/pull/18653#issuecomment-652791542
Hi @TaoLv @pengzhao-intel , please help to merge, thanks.
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yzhliu commented on a change in pull request #18642:
URL: https://github.com/apache/incubator-mxnet/pull/18642#discussion_r448755291
##
File path: src/api/operator/numpy/np_elemwise_broadcast_logic_op.cc
##
@@ -44,31 +44,65 @@ MXNET_REGISTER_API("_npi.not_equal")
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TaoLv merged pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632
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Kh4L commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r448752115
##
File path: python/mxnet/gluon/block.py
##
@@ -1335,12 +1337,21 @@ def export(self, path, epoch=0, remove_amp_cast=True):
arg_names =
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sxjscience commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652784885
Close this PR now
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sxjscience commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652784828
@ciyongch I'm going to test v1.7 after this backporting PR
(https://github.com/apache/incubator-mxnet/pull/18653) is merged. WOuld you
merge that one?
ciyongch commented on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652777978
Hi @ChaiBapchya @leezu @pengzhao-intel @TaoLv , now all the CI passed and
the UT is added as well, please help to merge, thanks.
ciyongch commented on pull request #18634:
URL: https://github.com/apache/incubator-mxnet/pull/18634#issuecomment-652777589
Hi @leeze, @szha please help to review and merge.
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ciyongch commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652773680
Hi @sandeep-krishnamurthy , actually I was planning to drop rc0 before numpy
related issues were raised.
@sxjscience has already submitted partial PRs listed as
cloudhan commented on issue #18509:
URL:
https://github.com/apache/incubator-mxnet/issues/18509#issuecomment-652771931
You can monkey patch the conversion script with
```python
from mxnet.contrib import onnx as onnx_mxnet
from mxnet.contrib.onnx.mx2onnx.export_onnx import
sandeep-krishnamurthy commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652767947
@sxjscience when will it be possible to have a Backport PRs? @ciyongch what
is the timeline you had planned for rc0?
xidulu commented on pull request #18403:
URL: https://github.com/apache/incubator-mxnet/pull/18403#issuecomment-652753148
@leezu
I am looking into this issue.
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TaoLv commented on pull request #18653:
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ciyongch commented on pull request #18585:
URL: https://github.com/apache/incubator-mxnet/pull/18585#issuecomment-652738836
Hi @leeze @ChaiBapchya @marcoabreu @aaronmarkham , can you help to take a
review and merged. The corresponding one
ciyongch commented on pull request #18653:
URL: https://github.com/apache/incubator-mxnet/pull/18653#issuecomment-652737478
Thanks @sxjscience , so only two remaining PRs (#18250 and #18523) to be
backported, right?
BTW, please help to re-trigger the [unix-gpu] job.
ciyongch commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652736178
Thanks a lot @sxjscience for the great help to filter the necessary PRs
targeting at 1.7 release and @sandeep-krishnamurthy for the valuable comments :)
When
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leezu commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r448685873
##
File path: python/mxnet/gluon/block.py
##
@@ -1335,12 +1337,21 @@ def export(self, path, epoch=0, remove_amp_cast=True):
arg_names =
ChaiBapchya commented on a change in pull request #18625:
URL: https://github.com/apache/incubator-mxnet/pull/18625#discussion_r448685082
##
File path: ci/docker/runtime_functions.sh
##
@@ -411,8 +413,9 @@ build_ubuntu_cpu_mkl() {
-DUSE_MKLDNN=OFF \
access2rohit commented on a change in pull request #18625:
URL: https://github.com/apache/incubator-mxnet/pull/18625#discussion_r448685815
##
File path: src/operator/numpy/np_polynomial_op.cc
##
@@ -53,7 +53,8 @@ struct polyval_backward_p {
DType igrad_p = 0;
index_t
leezu commented on a change in pull request #18625:
URL: https://github.com/apache/incubator-mxnet/pull/18625#discussion_r448684679
##
File path: ci/build_windows.py
##
@@ -69,6 +69,7 @@ class BuildFlavour(Enum):
'-DUSE_DIST_KVSTORE=OFF '
ciyongch commented on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652706565
@ChaiBapchya We've verified the fix via an offline customized cases, anyway,
it's quite reasonable to add a UT to cover this case. I will try to add this
today.
leezu commented on pull request #18445:
URL: https://github.com/apache/incubator-mxnet/pull/18445#issuecomment-652702713
@ma-hei I also noticed this error in some unrelated cd job which was
building mxnet for python 3.8. Just FYI, and not necessarily something you need
to take into
leezu commented on pull request #18403:
URL: https://github.com/apache/incubator-mxnet/pull/18403#issuecomment-652701478
@xidulu any idea why in your PR the
`test_np_mixedType_unary_funcs[float16-3-rint-None--5.0-5.0]` test persistently
(8 CI runs in a row) is found to leak ndarray
leezu commented on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652697966
To "fix" the codecov showing up on the 1.x branches, you can include the 3
lines from https://github.com/apache/incubator-mxnet/pull/18497/files
cc
leezu commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r448670196
##
File path: python/mxnet/gluon/block.py
##
@@ -1073,8 +1060,35 @@ def _build_cache(self, *args):
for name in
leezu commented on issue #18652:
URL:
https://github.com/apache/incubator-mxnet/issues/18652#issuecomment-652696894
@austinmw it's the correct syntax for the experimental numpy support in
MXNet 1.x. Sorry for the unclear documentation.
With the upcoming MXNet 2 release, users can
szha commented on pull request #18403:
URL: https://github.com/apache/incubator-mxnet/pull/18403#issuecomment-652651575
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austinmw edited a comment on issue #18652:
URL:
https://github.com/apache/incubator-mxnet/issues/18652#issuecomment-652615856
@leezu Thanks, that worked! Is `F.np.` the new way to do things going
forward? Can't find any documentation for this syntax.
austinmw closed issue #18652:
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austinmw edited a comment on issue #18652:
URL:
https://github.com/apache/incubator-mxnet/issues/18652#issuecomment-652615856
@leezu Thanks, that worked! Is `F.np.` the new way to do things going
forward?
This is an
austinmw commented on issue #18652:
URL:
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Thanks, that worked! Is `F.np.` the new way to do things going forward?
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samskalicky commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r448576383
##
File path: python/mxnet/gluon/block.py
##
@@ -1073,8 +1060,35 @@ def _build_cache(self, *args):
for name in
samskalicky commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r448571094
##
File path: python/mxnet/gluon/block.py
##
@@ -1073,8 +1060,35 @@ def _build_cache(self, *args):
for name in
sxjscience commented on pull request #18653:
URL: https://github.com/apache/incubator-mxnet/pull/18653#issuecomment-652589402
@ciyongch These three commits can be safely ported.
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sxjscience opened a new pull request #18653:
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mxnet-bot commented on pull request #18653:
URL: https://github.com/apache/incubator-mxnet/pull/18653#issuecomment-652588712
Hey @sxjscience , 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
ChaiBapchya commented on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652587349
> I will try to add some tests later to cover it.
Can we add a basic test to verify this? I guess reviewers would feel
confident to approve this once they
Kh4L commented on pull request #18350:
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ma-hei removed a comment on pull request #18445:
URL: https://github.com/apache/incubator-mxnet/pull/18445#issuecomment-649099499
@Roshrini I found an issue when updating onnx from 1.5.0 to 1.7.0. The issue
can be reproduced with python 3.6. The following code reproduces the issue. Do
you
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leezu closed issue #18650:
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leezu commented on issue #18650:
URL:
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Builds from PyPI were removed due to resource limitations of the PyPI
project: https://github.com/pypa/pypi-support/issues/50#issuecomment-562811825
Also, tApache
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leezu merged pull request #18651:
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leezu removed a comment on pull request #18651:
URL: https://github.com/apache/incubator-mxnet/pull/18651#issuecomment-652535147
I'm quite concerned that there has been no further investigation of the
scope and amount of work needed to provide compatibility with numpy 1.19.
Constraining
leezu commented on issue #18652:
URL:
https://github.com/apache/incubator-mxnet/issues/18652#issuecomment-652534248
Please use `F.np.concatenate`
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sandeep-krishnamurthy commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652532059
> @sandeep-krishnamurthy @ciyongch I created this PR to track how many numpy
commits would potentially go into v1.7.0 (not all of them should go into
ptrendx commented on pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#issuecomment-652530647
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sxjscience commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652510821
@sandeep-krishnamurthy @ciyongch I created this PR to track how many numpy
commits would potentially go into v1.7.0 (not all of them should go into 1.7.0):
sandeep-krishnamurthy commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652480776
First of all thank you very much @sxjscience for this tremendous effort in
backporting PRs.
I am really concerned with addition of new
sandeep-krishnamurthy commented on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652476980
@pengzhao-intel @TaoLv this will be good to go after your review and
approval
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pengzhao-intel closed issue #17595:
URL: https://github.com/apache/incubator-mxnet/issues/17595
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TaoLv closed issue #18610:
URL: https://github.com/apache/incubator-mxnet/issues/18610
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TaoLv commented on issue #18610:
URL:
https://github.com/apache/incubator-mxnet/issues/18610#issuecomment-652462209
Fixed by #18064
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TaoLv commented on pull request #18602:
URL: https://github.com/apache/incubator-mxnet/pull/18602#issuecomment-652461346
Thanks for the effort @bgawrych @stu1130. Do we need to cherry pick the fix
to v1.x?
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TaoLv merged pull request #18602:
URL: https://github.com/apache/incubator-mxnet/pull/18602
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TaoLv closed issue #18569:
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TaoLv commented on pull request #18644:
URL: https://github.com/apache/incubator-mxnet/pull/18644#issuecomment-652460275
Thanks for the contribution, @anko-intel. Does the problem also exist on
v1.x? If yes, could you please cherry pick the fix to the branch also?
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austinmw opened a new issue #18652:
URL: https://github.com/apache/incubator-mxnet/issues/18652
## Description
I’m trying to adapt the GoogLeNet/InceptionV1 implementation in the online
book d2l.ai to be compatible with hybridization. However, I’m currently facing
issues with
ciyongch commented on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652446228
Codecov failures are still there...which shouldn't be the blocker I think.
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wkcn commented on issue #18643:
URL:
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I reproduce the bug too on MXNet 2.0.
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ciyongch commented on pull request #18634:
URL: https://github.com/apache/incubator-mxnet/pull/18634#issuecomment-652392677
https://github.com/apache/incubator-mxnet/pull/18651 was created as
described in option 1.
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ciyongch opened a new pull request #18651:
URL: https://github.com/apache/incubator-mxnet/pull/18651
## Description ##
As reported in https://github.com/apache/incubator-mxnet/issues/18600,
there're some failures related to numpy operators with numpy 1.19.0 (which was
released on Jun
wkcn commented on a change in pull request #18644:
URL: https://github.com/apache/incubator-mxnet/pull/18644#discussion_r448320053
##
File path: tests/python/unittest/test_gluon.py
##
@@ -665,6 +665,34 @@ def transpose(shape):
assert (layer(x).shape==ceil_out_shape)
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nicolaerosia opened a new issue #18650:
URL: https://github.com/apache/incubator-mxnet/issues/18650
I see that nightly builds for Linux are missing and adding them would help
Linux users test before the actual release.
https://pypi.org/project/mxnet-mkl/1.7.0b20200315/#files
ciyongch commented on pull request #18648:
URL: https://github.com/apache/incubator-mxnet/pull/18648#issuecomment-652355926
As numpy operator feature is in a quite active development in current master
branch and mainly targeting on 2.0 release. It'll be fine if the backport patch
is small
ciyongch edited a comment on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652349101
> * this is part of other branches as well?
Yes, this is a common issue for all the current branches, I will do the
backport to other branches as well.
ciyongch commented on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652349101
> * this is part of other branches as well?
Yes, this is a common issue for all the current branches, I will do the
backport to other branches as well.
> *
mxnet-bot commented on pull request #18632:
URL: https://github.com/apache/incubator-mxnet/pull/18632#issuecomment-652347741
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