sreev commented on issue #15110: missing new version bundle for R
URL:
https://github.com/apache/incubator-mxnet/issues/15110#issuecomment-497586713
```
>
install.packages("/Users/svaddi/SreeVaddi/source/github/apache/incubator-mxnet/R-package",
repos=NULL, type="source")
*
reminisce commented on a change in pull request #15090: Loosen the constraint
on serializing/deserializing ndarrays in np_shape semantics
URL: https://github.com/apache/incubator-mxnet/pull/15090#discussion_r289272917
##
File path: src/ndarray/ndarray.cc
##
@@ -1582,8
reminisce commented on issue #15090: Loosen the constraint on
serializing/deserializing ndarrays in np_shape semantics
URL: https://github.com/apache/incubator-mxnet/pull/15090#issuecomment-497597890
@zheng-da Please test this PR in DGL to see if any test of saving/loading
zero-size
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new fbbac0f Bump the publish
NeoZhangJianyu opened a new pull request #15111: fix the cmake cmd with wrong
path
URL: https://github.com/apache/incubator-mxnet/pull/15111
## Description ##
The examples of CMake is with wrong path
## Checklist ##
### Essentials ###
### Changes ###
Document is updated
szha commented on issue #15091: AttributeError: module
'mxnet.ndarray._internal' has no attribute '_rnn_param_concat'
URL:
https://github.com/apache/incubator-mxnet/issues/15091#issuecomment-497591831
@Marcovaldong this sounds like an issue where the python code was upgraded
but the
Marcovaldong commented on issue #15091: AttributeError: module
'mxnet.ndarray._internal' has no attribute '_rnn_param_concat'
URL:
https://github.com/apache/incubator-mxnet/issues/15091#issuecomment-497614454
@szha Yes, there are two version MxNet in my environments. I upgrade the
python
Marcovaldong closed issue #15091: AttributeError: module
'mxnet.ndarray._internal' has no attribute '_rnn_param_concat'
URL: https://github.com/apache/incubator-mxnet/issues/15091
This is an automated message from the
xianyujie commented on issue #15108: The test time of the model on GPU is
normal, but the test time on CPU is very long.
URL:
https://github.com/apache/incubator-mxnet/issues/15108#issuecomment-497634604
Here, I tested the computation time for each output layer as follows:
Test on CPU:
sreev commented on issue #15110: missing new version bundle for R
URL:
https://github.com/apache/incubator-mxnet/issues/15110#issuecomment-497586978
I renamed, R-package/dummy.NAMESPACE to NAMESPACE. And did another run.
```
>
szha commented on issue #15089: Fix mkldnn backend when using naive engine
URL: https://github.com/apache/incubator-mxnet/pull/15089#issuecomment-497592964
@ZhennanQin NaiveEngine's `PushAsync` was intentionally synchronous. Other
code should not make any assumption about execution order
xianyujie removed a comment on issue #15108: The test time of the model on GPU
is normal, but the test time on CPU is very long.
URL:
https://github.com/apache/incubator-mxnet/issues/15108#issuecomment-497634604
Here, I tested the computation time for each output layer as follows:
Test
sreev commented on issue #15110: missing new version bundle for R
URL:
https://github.com/apache/incubator-mxnet/issues/15110#issuecomment-497587394
Looks like it is a good idea to move from:
`apache/incubator-mxnet/R-package`
to:
`apache/incubator-mxnet-R-package`
**i.e. one
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omit 7b6d8fa Temporarily disable test_amp
omit 0282932 Change np_compat to np_shape
omit cc5038f
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commit 99ce5d1eea8c59eed529e33ad5aac249a03cd1f6
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commit 289b8188f2e4dfb2aa859ff5631b0df964961ebb
Author: Hao Jin
AuthorDate: Thu May 9 13:51:48 2019 -0700
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commit 78633f7ffce35aa9b565e7a47345cd426ddf65cb
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AuthorDate: Sun Apr 21 13:23:18 2019 -0700
[Do
mxnet-label-bot commented on issue #15112: [Feature Request] Make mxnet be
available to published by PyInstaller
URL:
https://github.com/apache/incubator-mxnet/issues/15112#issuecomment-497680683
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and
chinakook opened a new issue #15112: [Feature Request] Make mxnet be available
to published by PyInstaller
URL: https://github.com/apache/incubator-mxnet/issues/15112
**PyInstaller** bundles a Python application and all its dependencies into a
single package. It support Windows/Linux and
pengzhao-intel commented on issue #15108: The test time of the model on GPU is
normal, but the test time on CPU is very long.
URL:
https://github.com/apache/incubator-mxnet/issues/15108#issuecomment-497704374
@xianyujie did you install the package of mxnet-cuXXmkl?
The mkl build shows
cchung100m commented on issue #15113: [MXNET-1411] solve pylint error
issue#14851
URL: https://github.com/apache/incubator-mxnet/pull/15113#issuecomment-497735345
Hi @stu1130,
Follow the discussion from
[issue](https://github.com/apache/incubator-mxnet/issues/14851) page, I remove
apeforest commented on issue #14613: [MXNET-978] Higher order gradient support
for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#issuecomment-497701765
@kshitij12345 @sxjscience @anirudhacharya friendly ping for final review
please:)
cchung100m opened a new pull request #15113: [MXNET-1411] solve pylint error
issue#14851
URL: https://github.com/apache/incubator-mxnet/pull/15113
## Description ##
Pylint error 'Bad option value 'no-else-raise' (bad-option-value)' was
reported by issue 14851, therefore, I check the
marcoabreu commented on a change in pull request #15090: Enable
serializing/deserializing ndarrays in np_shape semantics
URL: https://github.com/apache/incubator-mxnet/pull/15090#discussion_r289391240
##
File path: src/ndarray/ndarray.cc
##
@@ -1580,13 +1581,20 @@ static
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r289481668
##
File path: tests/nightly/test_large_array.py
##
@@
kshitij12345 commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289488060
##
File path: src/operator/tensor/elemwise_unary_op_trig.cc
##
@@
kshitij12345 commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289487945
##
File path: src/operator/tensor/elemwise_unary_op_trig.cc
##
@@
apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r289494532
##
File path: tests/nightly/test_large_array.py
##
@@
abhinavs95 commented on issue #13735: update wavenet codes
URL: https://github.com/apache/incubator-mxnet/pull/13735#issuecomment-497805534
@seujung Could you have a look at the latest review comments? Thanks!
This is an
apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r289494889
##
File path: tests/nightly/test_large_array.py
##
@@
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r289496932
##
File path: tests/nightly/test_large_array.py
##
@@
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r289496932
##
File path: tests/nightly/test_large_array.py
##
@@
access2rohit commented on a change in pull request #15059: [MXNET-1410]Adding
Large Tensor Support for tensor transpose
URL: https://github.com/apache/incubator-mxnet/pull/15059#discussion_r289498407
##
File path: tests/nightly/test_large_array.py
##
@@ -279,6 +279,33 @@
access2rohit commented on a change in pull request #15059: [MXNET-1410]Adding
Large Tensor Support for tensor transpose
URL: https://github.com/apache/incubator-mxnet/pull/15059#discussion_r289498722
##
File path: tests/nightly/test_large_array.py
##
@@ -279,6 +279,33 @@
anirudhacharya commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289493359
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
anirudhacharya commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289493513
##
File path: src/operator/tensor/elemwise_unary_op_trig.cc
##
anirudhacharya commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289501007
##
File path: tests/python/unittest/test_higher_order_grad.py
##
anirudhacharya commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289497323
##
File path: tests/python/unittest/test_higher_order_grad.py
##
aaronmarkham commented on a change in pull request #15109: [DOC] refine
autograd docs
URL: https://github.com/apache/incubator-mxnet/pull/15109#discussion_r289446197
##
File path: docs/api/python/autograd/autograd.md
##
@@ -76,6 +82,38 @@ Detailed tutorials are available
thomelane opened a new pull request #15114: Added transform tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15114
## Description ##
Added a new tutorial on data transforms.
Covers `ToTensor`, `Compose`, `Resize` and `CenterCrop`.
All **random** transforms will be
aaronmarkham commented on issue #14852: flaky test: test_ndarray_elementwisesum
URL:
https://github.com/apache/incubator-mxnet/issues/14852#issuecomment-497800326
Same:
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-14987/8/pipeline/
abhinavs95 commented on issue #15111: fix the cmake cmd with wrong path
URL: https://github.com/apache/incubator-mxnet/pull/15111#issuecomment-497803322
@mxnet-label-bot add [Doc, pr-awaiting-review]
This is an automated
abhinavs95 commented on issue #15113: [MXNET-1411] solve pylint error
issue#14851
URL: https://github.com/apache/incubator-mxnet/pull/15113#issuecomment-497802735
@mxnet-label-bot add [pr-awaiting-review]
This is an
abhinavs95 commented on issue #13132: enabled link checker and doc test during
building the doc
URL: https://github.com/apache/incubator-mxnet/pull/13132#issuecomment-497805191
@mli Gentle ping..
This is an automated message
kshitij12345 commented on a change in pull request #14992: [MXNET-978] Support
higher order gradient for `log`.
URL: https://github.com/apache/incubator-mxnet/pull/14992#discussion_r289494106
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -1069,13
apeforest commented on a change in pull request #15059: [MXNET-1410]Adding
Large Tensor Support for tensor transpose
URL: https://github.com/apache/incubator-mxnet/pull/15059#discussion_r289496317
##
File path: tests/nightly/test_large_array.py
##
@@ -279,6 +279,33 @@ def
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r289496932
##
File path: tests/nightly/test_large_array.py
##
@@
kshitij12345 edited a comment on issue #14992: [MXNET-978] Support higher order
gradient for `log`.
URL: https://github.com/apache/incubator-mxnet/pull/14992#issuecomment-497807950
@apeforest @larroy
kshitij12345 commented on issue #14992: [MXNET-978] Support higher order
gradient for `log`.
URL: https://github.com/apache/incubator-mxnet/pull/14992#issuecomment-497807950
@apeforest @larroy
abhinavs95 commented on issue #14470: Bug fixed:
https://github.com/apache/incubator-mxnet/issues/13485
URL: https://github.com/apache/incubator-mxnet/pull/14470#issuecomment-497807600
@devymex Gentle ping for an update
This
access2rohit commented on a change in pull request #15059: [MXNET-1410]Adding
Large Tensor Support for tensor transpose
URL: https://github.com/apache/incubator-mxnet/pull/15059#discussion_r289499335
##
File path: tests/nightly/test_large_array.py
##
@@ -279,6 +279,33 @@
apeforest commented on a change in pull request #15098: Add epsilon for
tolerance level to fix flaky test random_resize_crop
URL: https://github.com/apache/incubator-mxnet/pull/15098#discussion_r289499080
##
File path: tests/python/unittest/test_image.py
##
@@ -356,17
frankfliu commented on issue #15110: missing new version bundle for R
URL:
https://github.com/apache/incubator-mxnet/issues/15110#issuecomment-497768975
@mxnet-label-bot add [R, installation]
This is an automated message
abhinavs95 commented on issue #15109: [DOC] refine autograd docs
URL: https://github.com/apache/incubator-mxnet/pull/15109#issuecomment-497803547
@mxnet-label-bot add [Doc]
This is an automated message from the Apache Git
abhinavs95 commented on issue #15111: fix the cmake cmd with wrong path
URL: https://github.com/apache/incubator-mxnet/pull/15111#issuecomment-497803122
Thanks for the fix @NeoZhangJianyu
This is an automated message from
reminisce commented on a change in pull request #15090: Enable
serializing/deserializing ndarrays in np_shape semantics
URL: https://github.com/apache/incubator-mxnet/pull/15090#discussion_r289481366
##
File path: src/ndarray/ndarray.cc
##
@@ -1580,13 +1581,20 @@ static
apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r289495115
##
File path: tests/nightly/test_large_array.py
##
@@
thomelane commented on issue #15114: Added transform tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15114#issuecomment-497760647
@NRauschmayr can you review when you get a chance, thanks!
This is an automated
frankfliu commented on issue #15112: [Feature Request] Make mxnet be available
to published by PyInstaller
URL:
https://github.com/apache/incubator-mxnet/issues/15112#issuecomment-497769141
@mxnet-label-bot add [feature request]
mxnet-label-bot commented on issue #15115: Error on downloading Julia Windows
binary
URL:
https://github.com/apache/incubator-mxnet/issues/15115#issuecomment-497799882
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that
aaronmarkham opened a new issue #15115: Error on downloading Julia Windows
binary
URL: https://github.com/apache/incubator-mxnet/issues/15115
## Description
My PR failed CI due to a Windows Julia test.
abhinavs95 commented on issue #15107: Update float16 tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15107#issuecomment-497803894
@mxnet-label-bot add [Doc]
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apeforest commented on a change in pull request #15042: [MXNET-1405] tests for
large tensor support for Softmax operator
URL: https://github.com/apache/incubator-mxnet/pull/15042#discussion_r289495482
##
File path: tests/nightly/test_large_array.py
##
@@ -279,6 +272,13 @@
roywei edited a comment on issue #15114: Added transform tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15114#issuecomment-497770242
Thanks for the contribution! Please remember to add it to nightly test,
index.md, and run test tutorials once after finalized the content and
roywei commented on issue #15114: Added transform tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15114#issuecomment-497770242
Thanks for the contribution! Please remember to add it to nightly test,
index.md, and run test tutorials once after finalized the content and before
roywei commented on issue #15097: [BUGFIX] fix unknown parameter shapes when
np_shape is turned on.
URL: https://github.com/apache/incubator-mxnet/pull/15097#issuecomment-497815581
@reminisce @sza @zheng-da what's the next step here? There is nothing to
prevent users from using `-1` as
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The following commit(s) were added to refs/heads/asf-site by this push:
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access2rohit commented on issue #15042: [MXNET-1405] tests for large tensor
support for Softmax operator
URL: https://github.com/apache/incubator-mxnet/pull/15042#issuecomment-497862371
@mxnet-label-bot add [pr-awaiting-merge]
apeforest commented on issue #14613: [MXNET-978] Higher order gradient support
for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#issuecomment-497871429
@kshitij12345 gentle ping again :) please approve it there is no other
concern. thanks
apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289511854
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@
aaronmarkham opened a new pull request #15117: nano instructions
URL: https://github.com/apache/incubator-mxnet/pull/15117
## Description ##
This PR adds instructions on how to setup MXNet on a Jetson Nano.
I had a previous PR, #14855, that also added the Nano to CI, but this
abhinavs95 commented on issue #15116: [Flaky Test] Reenable two flaky test on
Windows
URL: https://github.com/apache/incubator-mxnet/pull/15116#issuecomment-497834008
@mxnet-label-bot add [Test, Windows, pr-awaiting-review]
aaronmarkham merged pull request #15087: Fix R installation instructions
(windows / mac)
URL: https://github.com/apache/incubator-mxnet/pull/15087
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aaronmarkham pushed a change to branch master
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from 6f01a6f add epsilon for tolerance level (#15098)
add 866ec10 Fix R installation instructions
access2rohit commented on a change in pull request #15059: [MXNET-1410]Adding
Large Tensor Support for tensor transpose
URL: https://github.com/apache/incubator-mxnet/pull/15059#discussion_r289498722
##
File path: tests/nightly/test_large_array.py
##
@@ -279,6 +279,33 @@
stu1130 opened a new pull request #15116: Reenable two flaky test on Windows
URL: https://github.com/apache/incubator-mxnet/pull/15116
## Description ##
Fixes #15004
Fixes #13600
My environment: `Windows 2016 Server with CUDA 10.0 + cuDNN 7.5 + MKLDNN`
I could not reproduce the
reminisce commented on issue #15097: [BUGFIX] fix unknown parameter shapes when
np_shape is turned on.
URL: https://github.com/apache/incubator-mxnet/pull/15097#issuecomment-497817620
I think it would be safer to note `np_shape` as experimental and still under
development.
stu1130 commented on issue #15113: [MXNET-1411] solve pylint error issue#14851
URL: https://github.com/apache/incubator-mxnet/pull/15113#issuecomment-497829202
Thanks for your contribution @cchung100m.
Could you use `make pylint` to check if it pass the pylint?
szha commented on issue #15089: Fix mkldnn backend when using naive engine
URL: https://github.com/apache/incubator-mxnet/pull/15089#issuecomment-497831649
In addition to the docs, should we add test for it?
This is an
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apeforest pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 6f01a6f add epsilon for tolerance
anirudhacharya commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289501007
##
File path: tests/python/unittest/test_higher_order_grad.py
##
nswamy closed issue #10233: Endless Clone when importing on PowerPC
URL: https://github.com/apache/incubator-mxnet/issues/10233
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marcoabreu 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:
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aaronmarkham commented on issue #14852: flaky test: test_ndarray_elementwisesum
URL:
https://github.com/apache/incubator-mxnet/issues/14852#issuecomment-497865741
And again on another PR:
eric-haibin-lin commented on issue #15089: Fix mkldnn backend when using naive
engine
URL: https://github.com/apache/incubator-mxnet/pull/15089#issuecomment-497868466
We need a separate test which set naive engine env var before mxnet is
imported
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reminisce pushed a commit to branch numpy
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/numpy by this push:
new b930832 Numpy-compatible stack
reminisce merged pull request #15027: Numpy-compatible stack
URL: https://github.com/apache/incubator-mxnet/pull/15027
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apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289560471
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File path: tests/python/unittest/test_higher_order_grad.py
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apeforest merged pull request #15098: Add epsilon for tolerance level to fix
flaky test random_resize_crop
URL: https://github.com/apache/incubator-mxnet/pull/15098
This is an automated message from the Apache Git Service.
apeforest commented on a change in pull request #15098: Add epsilon for
tolerance level to fix flaky test random_resize_crop
URL: https://github.com/apache/incubator-mxnet/pull/15098#discussion_r289502198
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File path: tests/python/unittest/test_image.py
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@@ -356,17
karan6181 commented on issue #10233: Endless Clone when importing on PowerPC
URL:
https://github.com/apache/incubator-mxnet/issues/10233#issuecomment-497818459
@Lucasyc We are closing this issue for now due to inactivity from 90+ days.
Please feel free to re-open it if you are still
apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289511500
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File path: src/operator/tensor/elemwise_unary_op_trig.cc
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apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289511408
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File path: src/operator/tensor/elemwise_unary_op_basic.cc
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apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289511435
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File path: src/operator/tensor/elemwise_unary_op_trig.cc
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apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r289511483
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File path: src/operator/tensor/elemwise_unary_op_trig.cc
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