reminisce opened a new pull request #16207: Bump numpy version >=1.17.0
URL: https://github.com/apache/incubator-mxnet/pull/16207
## Description ##
To adopt numpy `__array_function__` protocol for better `ndarray`
interoperability, we need numpy >= 1.17.0. See discussion in
rongzha1 commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r325996762
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -271,25 +211,22 @@ void
rongzha1 commented on issue #16199: [mkldnn-v1.0] Add MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#issuecomment-532975427
> I saw some C-style castings from original code like
>
rongzha1 commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r325996477
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -44,54 +44,44 @@ typedef
mxnet-label-bot commented on issue #16206: Wrong results of min([inf, inf]) and
max([-inf,-inf])
URL:
https://github.com/apache/incubator-mxnet/issues/16206#issuecomment-532974283
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels
wkcn opened a new issue #16206: Wrong results of min([inf, inf]) and
max([-inf,-inf])
URL: https://github.com/apache/incubator-mxnet/issues/16206
## Description
Hi, there. The user Orb! found the bug.
The results of min([inf, inf]) and max([-inf,-inf]) are wrong.
##
zixuanweeei commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r325987342
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -44,54 +44,44 @@ typedef
zixuanweeei commented on issue #16199: [mkldnn-v1.0] Add MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#issuecomment-532961396
I saw some C-style castings from original code like
zixuanweeei commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r325983586
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -271,25 +211,22 @@ void
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zhasheng pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 5fe4d2a Update ndarray.py (#16205)
add 5f9a680 subscribe to build and CD changes (#16192)
No new
szha merged pull request #16192: subscribe to build and CD changes
URL: https://github.com/apache/incubator-mxnet/pull/16192
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haoj pushed a change to branch master
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from b3da7d2 fix multinomial bug on gpu (#16204)
add 5fe4d2a Update ndarray.py (#16205)
No new revisions
haojin2 merged pull request #16205: [DOC] Fix arange documentation
URL: https://github.com/apache/incubator-mxnet/pull/16205
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haoj pushed a change to branch master
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from 66c4207 [Numpy] Numpy behavior normal distribution (#16109)
add b3da7d2 fix multinomial bug on gpu
haojin2 merged pull request #16204: [Numpy] Fix multinomial bug on gpu
URL: https://github.com/apache/incubator-mxnet/pull/16204
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haoj pushed a change to branch master
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from 53b2b40 improve dataloader signals and messages (#16114)
add 66c4207 [Numpy] Numpy behavior normal
haojin2 merged pull request #16109: [Numpy] Numpy behavior normal distribution
URL: https://github.com/apache/incubator-mxnet/pull/16109
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ElaineBao commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r325965175
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -185,21 +119,20 @@ class MKLDNNBNForward
rongzha1 commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r325962503
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -185,21 +119,20 @@ class MKLDNNBNForward
pengzhao-intel commented on issue #16184: Add large tensor nightly tests for
MKL-DNN operators
URL: https://github.com/apache/incubator-mxnet/pull/16184#issuecomment-532933688
> Can't we reuse the already existing large tensor tests? From a front-end
perspective, it shouldn't matter to
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anirudh2290 pushed a commit to branch asf-site
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new 5d05c43 Bump the
ElaineBao commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r325960636
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -185,21 +119,20 @@ class MKLDNNBNForward
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zhreshold pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 1e058a3 add exception check for numpy reshape (#16180)
add 53b2b40 improve dataloader signals and
zhreshold merged pull request #16114: improve dataloader signals and messages
URL: https://github.com/apache/incubator-mxnet/pull/16114
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pengzhao-intel commented on issue #16199: [mkldnn-v1.0] Add MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#issuecomment-532924817
@ElaineBao @ZhennanQin @zixuanweeei please take a review.
This is an
pengzhao-intel commented on issue #16195: [mkldnn-v1.0] Add MKL-DNN activation
URL: https://github.com/apache/incubator-mxnet/pull/16195#issuecomment-532924692
@TaoLv @ZhennanQin @ciyongch @xinyu-intel please take a review?
lanking520 commented on issue #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#issuecomment-532913032
@szha he is trying to work on the migration, hope if you have some time to
take a look.
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thomasdelteil pushed a commit to branch beta-site
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new 3b5d22a Update
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The following commit(s) were added to refs/heads/beta-site by this push:
new 8e08f72 Update
eric-haibin-lin commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was:
APIs that might be a good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-532906711
remove the deprecated `infer_range` argument for `nd.arange`. The option is
ThomasDelteil commented on a change in pull request #15883: New Website: New
Pipeline [3/3]
URL: https://github.com/apache/incubator-mxnet/pull/15883#discussion_r325935859
##
File path: ci/docker/runtime_functions.sh
##
@@ -1580,9 +1551,404 @@ deploy_docs() {
ThomasDelteil commented on a change in pull request #15883: New Website: New
Pipeline [3/3]
URL: https://github.com/apache/incubator-mxnet/pull/15883#discussion_r325935917
##
File path: ci/docker/runtime_functions.sh
##
@@ -1580,9 +1551,404 @@ deploy_docs() {
eric-haibin-lin opened a new pull request #16205: [DOC] Fix arange documentation
URL: https://github.com/apache/incubator-mxnet/pull/16205
## Description ##
Notify users that infer_range only supports False and is deprecated for
`nd.arange`.
## Checklist ##
### Essentials ###
nacorti commented on issue #15320: Weird C++ Error / Bug when calling asnumpy()
or exporting the weight of darknet53 while training
URL:
https://github.com/apache/incubator-mxnet/issues/15320#issuecomment-532900675
I figured it out
I was trying to use an LSTDetection dataset type
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aaronmarkham pushed a commit to branch beta-site
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The following commit(s) were added to refs/heads/beta-site by this push:
new f121300 Bump the
marcoabreu edited a comment on issue #16184: Add large tensor nightly tests for
MKL-DNN operators
URL: https://github.com/apache/incubator-mxnet/pull/16184#issuecomment-532897863
Can't we reuse the already existing large tensor tests? From a front-end
perspective, it shouldn't matter to
marcoabreu commented on issue #16184: Add large tensor nightly tests for
MKL-DNN operators
URL: https://github.com/apache/incubator-mxnet/pull/16184#issuecomment-532897863
Can't we reuse the already existing large tensor tests? From a front-end
perspective, it shouldn't matter to the user
aaronmarkham commented on issue #15229:
test_tensorrt_resnet18.test_tensorrt_resnet18_feature_vect numerical error on
T4 gpu
URL:
https://github.com/apache/incubator-mxnet/issues/15229#issuecomment-532891516
Failed here... just on CI... on what should be unrelated...
aaronmarkham commented on issue #14994: Flaky test: test_lstm_clip
URL:
https://github.com/apache/incubator-mxnet/issues/14994#issuecomment-532890915
Failed again
sxjscience commented on issue #16170: Update KL Divergence formula
URL: https://github.com/apache/incubator-mxnet/pull/16170#issuecomment-532885716
@goldmermaid I think the 2nd change is valid, i.e., replacing pred with prob.
goldmermaid closed pull request #16170: Update KL Divergence formula
URL: https://github.com/apache/incubator-mxnet/pull/16170
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junrushao1994 commented on issue #16188: symbol.contrib.cond does not support
some built-in operators
URL:
https://github.com/apache/incubator-mxnet/issues/16188#issuecomment-532883670
Just digged a while with @zheng-da.
This bug should be related to inconsistency between operator
sxjscience commented on issue #16102: Usability degradation
URL:
https://github.com/apache/incubator-mxnet/issues/16102#issuecomment-532883412
@eric-haibin-lin I've added the check for exception handling.
This is an
sxjscience closed issue #16102: Usability degradation
URL: https://github.com/apache/incubator-mxnet/issues/16102
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junrushao1994 commented on issue #16188: symbol.contrib.cond does not support
some built-in operators
URL:
https://github.com/apache/incubator-mxnet/issues/16188#issuecomment-532882599
A workaround would be:
```python
import mxnet as mx
from mxnet import nd, autograd, gluon
sxjscience commented on a change in pull request #16170: Update KL Divergence
formula
URL: https://github.com/apache/incubator-mxnet/pull/16170#discussion_r325908542
##
File path: python/mxnet/gluon/loss.py
##
@@ -408,7 +408,7 @@ class KLDivLoss(Loss):
.. math::
sxjscience commented on a change in pull request #16170: Update KL Divergence
formula
URL: https://github.com/apache/incubator-mxnet/pull/16170#discussion_r325907887
##
File path: python/mxnet/gluon/loss.py
##
@@ -408,7 +408,7 @@ class KLDivLoss(Loss):
.. math::
stu1130 opened a new pull request #16204: [Numpy] Fix multinomial bug on gpu
URL: https://github.com/apache/incubator-mxnet/pull/16204
## Description ##
As title
after @xidulu PR #16109 get in, I can reuse the _copy function
## Checklist ##
### Essentials ###
Please feel
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sxjscience pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 995b477 Fix README Build Status (#16183)
add 1e058a3 add exception check for numpy reshape
sxjscience merged pull request #16180: Add exception check for numpy reshape
URL: https://github.com/apache/incubator-mxnet/pull/16180
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junrushao1994 edited a comment on issue #16188: symbol.contrib.cond does not
support some built-in operators
URL:
https://github.com/apache/incubator-mxnet/issues/16188#issuecomment-532863882
A minimal example would be:
```python
import mxnet as mx
from mxnet import nd,
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anirudh2290 pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
new e39cd17 Bump the
junrushao1994 commented on issue #16188: symbol.contrib.cond does not support
some built-in operators
URL:
https://github.com/apache/incubator-mxnet/issues/16188#issuecomment-532863882
A minimal example would be:
```python
import mxnet as mx
from mxnet import nd, autograd,
junrushao1994 commented on issue #16188: symbol.contrib.cond does not support
some built-in operators
URL:
https://github.com/apache/incubator-mxnet/issues/16188#issuecomment-532862574
We confirm that we can reproduce this bug
ptrendx commented on a change in pull request #16039: FullyConnected Bias
performance improvement on GPU
URL: https://github.com/apache/incubator-mxnet/pull/16039#discussion_r325883132
##
File path: src/operator/nn/fully_connected-inl.h
##
@@ -122,10 +171,147 @@ void
nacorti commented on issue #15320: Weird C++ Error / Bug when calling asnumpy()
or exporting the weight of darknet53 while training
URL:
https://github.com/apache/incubator-mxnet/issues/15320#issuecomment-532857192
Had that problem already, this is somehow different.
This occurs
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zhasheng pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 479ab46 [MEMORY] retry GPU memory allocation if fragmented (#16194)
add 995b477 Fix README Build
szha merged pull request #16183: Fix README Build Status
URL: https://github.com/apache/incubator-mxnet/pull/16183
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haibin pushed a change to branch master
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from 477e6f7 Fix np.choice
add 479ab46 [MEMORY] retry GPU memory allocation if fragmented (#16194)
No
eric-haibin-lin merged pull request #16194: retry GPU memory allocation if
fragmented
URL: https://github.com/apache/incubator-mxnet/pull/16194
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anirudhacharya commented on a change in pull request #16122: Add fast
implementation of LARS
URL: https://github.com/apache/incubator-mxnet/pull/16122#discussion_r325829489
##
File path: tests/python/gpu/test_optimizer.py
##
@@ -0,0 +1,93 @@
+# Licensed to the Apache
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zhasheng pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 5bb8067 Update README.md
5bb8067
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zhasheng pushed a change to branch master
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from f75d093 [Dataset] add shard API (#16175)
add 2a201ba Add __array_function__
add 681d9a7
szha merged pull request #16097: [numpy] array ufunc and array function
protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097
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szha commented on issue #16097: [numpy] array ufunc and array function protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-532835668
I'm OK with bumping the version and merging the PR. The error message during
installation is sufficiently clear.
perdasilva commented on issue #16202: [CD] Add COMMIT_ID param to release job
URL: https://github.com/apache/incubator-mxnet/pull/16202#issuecomment-532833803
[dev](http://jenkins.mxnet-ci-dev.amazon-ml.com/job/restricted-mxnet-cd/job/mxnet-cd-pipeline/68/)
job
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anirudh2290 pushed a commit to branch asf-site
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new 368818a Bump the
anirudh2290 commented on a change in pull request #15883: New Website: New
Pipeline [3/3]
URL: https://github.com/apache/incubator-mxnet/pull/15883#discussion_r325842220
##
File path: ci/docker/runtime_functions.sh
##
@@ -1580,9 +1551,404 @@ deploy_docs() {
export
anirudh2290 commented on a change in pull request #15883: New Website: New
Pipeline [3/3]
URL: https://github.com/apache/incubator-mxnet/pull/15883#discussion_r325842513
##
File path: ci/docker/runtime_functions.sh
##
@@ -1580,9 +1551,404 @@ deploy_docs() {
export
access2rohit opened a new pull request #16203: removing 64 bit un-used APIs
MXNDArrayLoadFromBuffer64 and MXNDArrayLoad64
URL: https://github.com/apache/incubator-mxnet/pull/16203
## Description ##
MXNDArrayLoadFromBuffer64 and MXNDArrayLoad64 do not require int64 support
since their
sxjscience commented on a change in pull request #16198: [fix] Update
`test_update_ops_mutation` tolerance
URL: https://github.com/apache/incubator-mxnet/pull/16198#discussion_r325837732
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1887,14 +1888,16 @@ def
zachgk closed issue #15191: How to load model parameters in jar packages using
java predictor
URL: https://github.com/apache/incubator-mxnet/issues/15191
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zachgk commented on issue #15191: How to load model parameters in jar packages
using java predictor
URL:
https://github.com/apache/incubator-mxnet/issues/15191#issuecomment-532816823
There has not been any response for several months and a solution was
proposed for the issue. I will
hzfan commented on a change in pull request #16100: Infra for tvm op runtime
dispatch
URL: https://github.com/apache/incubator-mxnet/pull/16100#discussion_r325832471
##
File path: contrib/tvmop/space.py
##
@@ -0,0 +1,212 @@
+# Licensed to the Apache Software Foundation
zachgk commented on issue #14943: share java samples of mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/14943#issuecomment-532811428
@tomoncle @git-ness
https://github.com/apache/incubator-mxnet/blob/master/example/README.md seems
like a good place to put it. I think it fits
hzfan commented on a change in pull request #16100: Infra for tvm op runtime
dispatch
URL: https://github.com/apache/incubator-mxnet/pull/16100#discussion_r325829018
##
File path: contrib/tvmop/core/multiarray.py
##
@@ -0,0 +1,53 @@
+# Licensed to the Apache Software
perdasilva commented on issue #16190: Adds PyPI CD Pipeline
URL: https://github.com/apache/incubator-mxnet/pull/16190#issuecomment-532804942
Don't merge until #16202 is merged =)
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reminisce commented on issue #16097: [numpy] array ufunc and array function
protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-532804374
@leezu @szha How about we merge this PR first and later consider if it's
necessary to bump the numpy version to 1.1?
reminisce edited a comment on issue #16097: [numpy] array ufunc and array
function protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-532804374
@leezu @szha How about we merge this PR first and later consider if it's
necessary to bump the numpy version to
perdasilva commented on issue #16202: [CD] Add COMMIT_ID param to release job
URL: https://github.com/apache/incubator-mxnet/pull/16202#issuecomment-532804677
@zachgk could you please have a look at this - the other PR is blocked by it
perdasilva opened a new pull request #16202: [CD] Add COMMIT_ID param to
release job
URL: https://github.com/apache/incubator-mxnet/pull/16202
## Description ##
Currently, if a new commit on master comes between the different stages, the
CD pipeline will break. The reason is, the
Vikas-kum commented on a change in pull request #16198: [fix] Update
`test_update_ops_mutation` tolerance
URL: https://github.com/apache/incubator-mxnet/pull/16198#discussion_r325819813
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1887,14 +1888,16 @@ def
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haibin pushed a change to branch master
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from 956cfa3 assert_allclose -> rtol=1e-10 (#16198)
add f75d093 [Dataset] add shard API (#16175)
No new
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aaronmarkham pushed a commit to branch beta-site
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new 5ee9394 Bump the
eric-haibin-lin merged pull request #16175: [Dataset] add shard API
URL: https://github.com/apache/incubator-mxnet/pull/16175
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sxjscience commented on a change in pull request #16198: [fix] Update
`test_update_ops_mutation` tolerance
URL: https://github.com/apache/incubator-mxnet/pull/16198#discussion_r325817815
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1887,14 +1888,16 @@ def
Vikas-kum commented on a change in pull request #16198: [fix] Update
`test_update_ops_mutation` tolerance
URL: https://github.com/apache/incubator-mxnet/pull/16198#discussion_r325804960
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1887,14 +1888,16 @@ def
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sxjscience pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 8cc3443 adding codeowners (#16165)
add 956cfa3 assert_allclose -> rtol=1e-10 (#16198)
No new
Vikas-kum commented on a change in pull request #16198: [fix] Update
`test_update_ops_mutation` tolerance
URL: https://github.com/apache/incubator-mxnet/pull/16198#discussion_r325804284
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1887,14 +1888,16 @@ def
sxjscience merged pull request #16198: [fix] Update `test_update_ops_mutation`
tolerance
URL: https://github.com/apache/incubator-mxnet/pull/16198
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marcoabreu commented on a change in pull request #15855: [Numpy] cumprod
URL: https://github.com/apache/incubator-mxnet/pull/15855#discussion_r325803441
##
File path: ci/docker/runtime_functions.sh
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@@ -367,6 +367,7 @@ build_ubuntu_cpu_openblas() {
set -ex
leezu edited a comment on issue #16097: [numpy] array ufunc and array function
protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-532786417
This seems quite hypothetical / uncommon to me. I'm not convinced if we need
to take consideration of this, given the
leezu commented on issue #16097: [numpy] array ufunc and array function
protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-532786417
This seems quite hypothetical / uncommon to me. I'm not convinced if we need
to take consideration of this, given the user
szha commented on issue #16097: [numpy] array ufunc and array function protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-532777442
@leezu I'm referring to the situation where another package on an end user's
environment declares a dependency on numpy 1.16, in
mxnet-label-bot commented on issue #16201: using gluon/image_classification.py
img/sec speed up when metric update and reset when turned off
URL:
https://github.com/apache/incubator-mxnet/issues/16201#issuecomment-532772528
Hey, this is the MXNet Label Bot.
Thank you for submitting
vgangal101 opened a new issue #16201: using gluon/image_classification.py
img/sec speed up when metric update and reset when turned off
URL: https://github.com/apache/incubator-mxnet/issues/16201
I am working with the example/gluon/image_classification.py script in the
apache
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apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
at 8cc3443 adding codeowners (#16165)
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iblis17 commented on issue #16178: [WIP]improving argmax perf
URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-532768526
(cc me)
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ChaiBapchya commented on issue #16178: [WIP]improving argmax perf
URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-532757247
@access2rohit fix the lint & retrigger the CI (Julia CPU failing)
This is an
yzhliu commented on issue #15855: [Numpy] cumprod
URL: https://github.com/apache/incubator-mxnet/pull/15855#issuecomment-532753922
@hzfan Could you disable fp16 on cuda for now? We will fix it later.
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