leezu commented on issue #18788:
URL:
https://github.com/apache/incubator-mxnet/issues/18788#issuecomment-665793579
MXNet bfloat16 type is registered as having numpy equivalent
`np.dtype([('bfloat16', np.uint16)])`:
mxnet-bot commented on pull request #18820:
URL: https://github.com/apache/incubator-mxnet/pull/18820#issuecomment-665509770
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## Description ##
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## Checklist ##
### Essentials ###
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access2rohit commented on a change in pull request #18816:
URL: https://github.com/apache/incubator-mxnet/pull/18816#discussion_r462427748
##
File path: src/operator/tensor/la_op.h
##
@@ -157,6 +157,14 @@ struct LaTrianParam : public dmlc::Parameter
{
}
};
+// check if
bartekkuncer opened a new pull request #18821:
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lanking520 commented on issue #17783:
URL:
https://github.com/apache/incubator-mxnet/issues/17783#issuecomment-665771813
@saudet Thanks for your reply. Still, I am concerned about the first
question:
you mentioned:
> We can go either way, but I found that for contemporary
leezu commented on issue #18774:
URL:
https://github.com/apache/incubator-mxnet/issues/18774#issuecomment-665798463
As the error message mentions, there is no binary CRAN package ‘mxnet’ is
available for R version 4.0.2. You can compile from source following the
instructions:
leezu commented on pull request #18690:
URL: https://github.com/apache/incubator-mxnet/pull/18690#issuecomment-665791614
Thanks @mseth10 for investigating the root cause. Could you add a new tests
that contains the `reshape` after dynamic shape?
bartekkuncer opened a new pull request #18819:
URL: https://github.com/apache/incubator-mxnet/pull/18819
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xidulu commented on issue #18809:
URL:
https://github.com/apache/incubator-mxnet/issues/18809#issuecomment-665375471
@ptrendx
Thanks for pointing out, looking into it.
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eric-haibin-lin commented on a change in pull request #18570:
URL: https://github.com/apache/incubator-mxnet/pull/18570#discussion_r461287402
##
File path: src/imperative/imperative_utils.h
##
@@ -35,6 +35,59 @@
#define MXNET_IMPERATIVE_IMPERATIVE_UTILS_H_
namespace mxnet
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TaoLv commented on pull request #18708:
URL: https://github.com/apache/incubator-mxnet/pull/18708#issuecomment-665047240
Not sure what's the merge policy of v1.x. Github keeps saying this branch is
out of date w ith the base branch so we cannot merge it.
mxnet-bot commented on pull request #18804:
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szha merged pull request #18812:
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mseth10 commented on pull request #18784:
URL: https://github.com/apache/incubator-mxnet/pull/18784#issuecomment-664608811
@ChaiBapchya file conflicts need resolving
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szhengac commented on a change in pull request #18758:
URL: https://github.com/apache/incubator-mxnet/pull/18758#discussion_r461976035
##
File path: example/probability/VAE/VAE.md
##
@@ -0,0 +1,251 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+# VAE with Gluon.probability
+
+In
ChaiBapchya commented on a change in pull request #18574:
URL: https://github.com/apache/incubator-mxnet/pull/18574#discussion_r461250501
##
File path: ci/docker/docker-compose.yml
##
@@ -108,6 +108,16 @@ services:
BASE_IMAGE: nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
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mxnet-bot commented on pull request #18817:
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houjs opened a new issue #18806:
URL: https://github.com/apache/incubator-mxnet/issues/18806
## Description
Hi,
we developed a python program to cut a pretrained object classification
model to two parts, top net and bottom net to meeting our application.
The model
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leezu closed issue #15569:
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leezu edited a comment on pull request #17815:
URL: https://github.com/apache/incubator-mxnet/pull/17815#issuecomment-665272450
@mxnet-bot run ci [all]
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access2rohit edited a comment on pull request #18807:
URL: https://github.com/apache/incubator-mxnet/pull/18807#issuecomment-665257475
```
(pytest) ubuntu@ip-172-31-90-243 ~/workspace/incubator-mxnet (err_msg) $
python -m pytest -s --exitfirst --verbose
ChaiBapchya edited a comment on issue #18693:
URL:
https://github.com/apache/incubator-mxnet/issues/18693#issuecomment-664752020
Cleaning the cache didn't quite help. Can you verify?
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bgawrych commented on pull request #18708:
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@mxnet-bot run ci [website]
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Light-- edited a comment on issue #15721:
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xidulu opened a new pull request #18817:
URL: https://github.com/apache/incubator-mxnet/pull/18817
## Description ##
Fix https://github.com/apache/incubator-mxnet/issues/18809
Samples and parameter in the test cases are modified to be *smoother* in
order to avoid extreme
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Zha0q1 commented on a change in pull request #18813:
URL: https://github.com/apache/incubator-mxnet/pull/18813#discussion_r461933289
##
File path: src/operator/linalg_impl.h
##
@@ -39,6 +39,40 @@ inline void linalg_check_batch_size(int A, int B, int C) {
CHECK_GT(A, 0) <<
marcoabreu merged pull request #29:
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Light-- commented on issue #15721:
URL:
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so, gentlemen, how to solve this issue
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sandeep-krishnamurthy commented on a change in pull request #18807:
URL: https://github.com/apache/incubator-mxnet/pull/18807#discussion_r461673524
##
File path: 3rdparty/mshadow/mshadow/base.h
##
@@ -336,6 +336,8 @@ const float kPi = 3.1415926f;
typedef int32_t index_t;
eric-haibin-lin commented on issue #18729:
URL:
https://github.com/apache/incubator-mxnet/issues/18729#issuecomment-664751085
I think there's extra effort to enable tensor-rt integration with the gluon
cachedop, as graph executor was dropped in mxnet 2.0
samskalicky opened a new issue #18800:
URL: https://github.com/apache/incubator-mxnet/issues/18800
Hi MXNet community,
Now that the 1.7.0 release development is closed (and in the midst of the
release process), I wanted to start a discussion around another 1.x based
release. There
rongzha1 edited a comment on issue #18788:
URL:
https://github.com/apache/incubator-mxnet/issues/18788#issuecomment-664738282
@bgawrych @luc,pior
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ChaiBapchya commented on a change in pull request #18784:
URL: https://github.com/apache/incubator-mxnet/pull/18784#discussion_r461134108
##
File path: tests/nightly/test_large_array.py
##
@@ -1207,9 +1207,28 @@ def check_syrk_batch():
assert A.grad[0,0,0] == 4
ChaiBapchya commented on pull request #18785:
URL: https://github.com/apache/incubator-mxnet/pull/18785#issuecomment-664583176
Nevermind. @josephevans helped me identify that before calling the
run_container it was building that docker container first and while building it
was using
mxnet-bot commented on pull request #18816:
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TaoLv closed issue #17791:
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yzhliu commented on issue #16848:
URL:
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It should be resolved by #18660
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eric-haibin-lin opened a new pull request #18802:
URL: https://github.com/apache/incubator-mxnet/pull/18802
## Description ##
Fixes https://github.com/apache/incubator-mxnet/issues/18730
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for
leezu commented on a change in pull request #18570:
URL: https://github.com/apache/incubator-mxnet/pull/18570#discussion_r461778722
##
File path: src/imperative/imperative_utils.h
##
@@ -35,6 +35,59 @@
#define MXNET_IMPERATIVE_IMPERATIVE_UTILS_H_
namespace mxnet {
+
+#if
samskalicky commented on pull request #18779:
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access2rohit commented on pull request #18718:
URL: https://github.com/apache/incubator-mxnet/pull/18718#issuecomment-665359037
> we are deprecating ndarray in 2.0 soon. we should start migrating tests to
numpy arrays instead
Changed it to v1.x
MyraBaba opened a new issue #18808:
URL: https://github.com/apache/incubator-mxnet/issues/18808
## Description
I can't import mxnet from shell/python but can use it from PyCharm from same
venv.
>>> import mxnet as mx
Traceback (most recent call last):
File "", line 1, in
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access2rohit closed pull request #18239:
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Zha0q1 commented on a change in pull request #18816:
URL: https://github.com/apache/incubator-mxnet/pull/18816#discussion_r462028540
##
File path: src/operator/tensor/la_op.h
##
@@ -181,6 +189,21 @@ inline bool LaMatrixMultMacOpShape(const nnvm::NodeAttrs&
attrs,
const
leezu opened a new pull request #18815:
URL: https://github.com/apache/incubator-mxnet/pull/18815
## Description ##
Run clang-tidy via cmake only on the code managed by mxnet (and not 3rdparty
dependencies), update to clang-tidy-10 and run clang-tidy-10 -fix to fix all
the warnings
ys2843 commented on issue #18727:
URL:
https://github.com/apache/incubator-mxnet/issues/18727#issuecomment-665194244
This problem is fixed, user is currently redirected to corresponding page in
v1.6 website.
This is an
yajiedesign commented on issue #18793:
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ChaiBapchya commented on pull request #18804:
URL: https://github.com/apache/incubator-mxnet/pull/18804#issuecomment-665380005
@mxnet-label-bot add [pr-awaiting-merge]
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ChaiBapchya commented on issue #18693:
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access2rohit commented on a change in pull request #18807:
URL: https://github.com/apache/incubator-mxnet/pull/18807#discussion_r461889976
##
File path: 3rdparty/mshadow/mshadow/base.h
##
@@ -336,6 +336,8 @@ const float kPi = 3.1415926f;
typedef int32_t index_t;
#endif
ptrendx opened a new issue #18809:
URL: https://github.com/apache/incubator-mxnet/issues/18809
## Description
test_gluon_probability_v2.py::test_gluon_dirichlet fails with some seeds
## Occurrences
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ChaiBapchya commented on pull request #18773:
URL: https://github.com/apache/incubator-mxnet/pull/18773#issuecomment-665222896
Why is it master? Shouldn't it be v1.x?
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andrei5055 commented on a change in pull request #18570:
URL: https://github.com/apache/incubator-mxnet/pull/18570#discussion_r461745054
##
File path: src/imperative/imperative_utils.h
##
@@ -35,6 +35,59 @@
#define MXNET_IMPERATIVE_IMPERATIVE_UTILS_H_
namespace mxnet {
+
sxjscience commented on a change in pull request #17196:
URL: https://github.com/apache/incubator-mxnet/pull/17196#discussion_r461310396
##
File path: python/mxnet/gluon/loss.py
##
@@ -74,6 +74,26 @@ def _reshape_like(F, x, y):
return F.reshape_like(x, y)
+def
ChaiBapchya opened a new pull request #29:
URL: https://github.com/apache/incubator-mxnet-ci/pull/29
As found by @mseth10 on 27th July 2020 2am Lambda couldn't find builds
triggered in last 24 hours due to Auto-scaler Lambda having a temporary glitch.
That revealed Jenkins Nightly
ChaiBapchya commented on pull request #18718:
URL: https://github.com/apache/incubator-mxnet/pull/18718#issuecomment-665378299
@access2rohit as linked in this PR:
https://github.com/apache/incubator-mxnet/pull/18784 I already added forward &
backward test for linalg.gemm2 in v1.x
Kh4L commented on issue #18800:
URL:
https://github.com/apache/incubator-mxnet/issues/18800#issuecomment-664634047
These PR related to Partition API changes for the Gluon support could be
also added:
- Partition API adding and deleting new params to Block and Symbol
szha merged pull request #18773:
URL: https://github.com/apache/incubator-mxnet/pull/18773
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URL: https://github.com/apache/incubator-mxnet/pull/18622#issuecomment-665150949
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szha opened a new pull request #18814:
URL: https://github.com/apache/incubator-mxnet/pull/18814
## Description ##
Upgrade DMLC core.
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts with
fhieber commented on issue #18699:
URL:
https://github.com/apache/incubator-mxnet/issues/18699#issuecomment-664599460
Hi @leezu thanks for the insight!
What `__get_item__` are you referring to, for parameters?
This is
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xinyu-intel commented on pull request #18777:
URL: https://github.com/apache/incubator-mxnet/pull/18777#issuecomment-665012689
@bgawrych thx, can you please add a simple python test case for this fix? I
think it should be more clear.
josephevans commented on pull request #18804:
URL: https://github.com/apache/incubator-mxnet/pull/18804#issuecomment-665296240
> Can you paste the run results as well ? We don't have to include the test
in this PR since NDarray will be removed but currently master has NDarray ops
and
mxnet-bot commented on pull request #18803:
URL: https://github.com/apache/incubator-mxnet/pull/18803#issuecomment-664771360
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access2rohit commented on pull request #18804:
URL: https://github.com/apache/incubator-mxnet/pull/18804#issuecomment-665201040
Can you paste the run results as well ? We don't have to include the test in
this PR since NDarray will be removed but currently master has NDarray ops and
ptrendx commented on issue #18809:
URL:
https://github.com/apache/incubator-mxnet/issues/18809#issuecomment-665152367
@xidulu FYI
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