haojin2 commented on a change in pull request #17316: [NumPy] add op
random.laplace
URL: https://github.com/apache/incubator-mxnet/pull/17316#discussion_r366767278
##
File path: src/operator/numpy/random/np_laplace_op.h
##
@@ -0,0 +1,218 @@
+/*
+ * Licensed to the Apache
haojin2 commented on a change in pull request #17316: [NumPy] add op
random.laplace
URL: https://github.com/apache/incubator-mxnet/pull/17316#discussion_r366767071
##
File path: python/mxnet/symbol/numpy/random.py
##
@@ -290,6 +290,54 @@ def choice(a, size=None,
haojin2 commented on a change in pull request #17316: [NumPy] add op
random.laplace
URL: https://github.com/apache/incubator-mxnet/pull/17316#discussion_r366766965
##
File path: python/mxnet/symbol/numpy/random.py
##
@@ -290,6 +290,54 @@ def choice(a, size=None,
haojin2 commented on a change in pull request #17316: [NumPy] add op
random.laplace
URL: https://github.com/apache/incubator-mxnet/pull/17316#discussion_r366767024
##
File path: python/mxnet/symbol/numpy/random.py
##
@@ -290,6 +290,54 @@ def choice(a, size=None,
liuzh91 opened a new issue #17320: Add customized event handlers in
ValidationHandler
URL: https://github.com/apache/incubator-mxnet/issues/17320
## Description
Current `mxnet.gluon.contrib.ValidationHandler` does not support customized
event handlers although `eval_fn` usually
xidulu commented on a change in pull request #17316: [NumPy] add op
random.laplace
URL: https://github.com/apache/incubator-mxnet/pull/17316#discussion_r366736430
##
File path: src/operator/numpy/random/np_laplace_op.cu
##
@@ -0,0 +1,35 @@
+/*
+ * Licensed to the Apache
xidulu commented on a change in pull request #17316: [NumPy] add op
random.laplace
URL: https://github.com/apache/incubator-mxnet/pull/17316#discussion_r366735999
##
File path: src/operator/numpy/random/np_laplace_op.cc
##
@@ -0,0 +1,105 @@
+/*
+ * Licensed to the Apache
TaoLv opened a new pull request #17318: [WIP] Enable MKL-DNN FullyConnected
backward
URL: https://github.com/apache/incubator-mxnet/pull/17318
## Description ##
Discussed with @rongzha1 offline. This PR incorporates the code changes in
#16890 which was reverted previously.
##
haojin2 commented on a change in pull request #17254: [numpy] change unary
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r366778186
##
File path: src/operator/tensor/elemwise_binary_op.h
##
@@ -525,6 +525,67 @@ class ElemwiseBinaryOp :
rongzha1 commented on issue #16890: Mkldnn fullyConnect bwd bug fix
URL: https://github.com/apache/incubator-mxnet/pull/16890#issuecomment-574551579
Can not reproduced in local machine, still not find the root cause.
This is
perdasilva opened a new pull request #17319: [BugFix] Fixes version comparison
algorithm
URL: https://github.com/apache/incubator-mxnet/pull/17319
## Description ##
The version comparison algorithm for minimum cuda version decorator was
wrong. This PR fixes it.
## Checklist ##
haojin2 commented on a change in pull request #17254: [numpy] change unary
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r366774634
##
File path: src/operator/tensor/elemwise_unary_op.h
##
@@ -252,6 +252,39 @@ class UnaryOp : public
ZheyuYe opened a new issue #17317: Floor division operator "//" in deepnumpy
URL: https://github.com/apache/incubator-mxnet/issues/17317
## Description
According the motivation of mx.np.ndarray, they should share same operation
as numpy. But it seems that there is no operation of floor
haojin2 commented on a change in pull request #17302: [numpy]add op
random.logistic
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r366763583
##
File path: src/operator/numpy/random/np_logistic_op.h
##
@@ -0,0 +1,331 @@
+/*
+ * Licensed to the Apache
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haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 05a0e5b Fix CosineEmbeddingLoss in when symbol API is used (#17308)
add e58623c all/any_fix (#17314)
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haoj pushed a change to branch master
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from 05a0e5b Fix CosineEmbeddingLoss in when symbol API is used (#17308)
add e58623c all/any_fix (#17314)
zhhoper commented on issue #17231: cannot quantization example
URL:
https://github.com/apache/incubator-mxnet/issues/17231#issuecomment-574543735
@wuxun-zhang @ZhennanQin I run the example using mxnet 1.6.0, it seems to
work ok. However, the run time of quantized model is much slower
haojin2 merged pull request #17314: all/any_fix [Numpy]
URL: https://github.com/apache/incubator-mxnet/pull/17314
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haojin2 commented on a change in pull request #17316: [NumPy] add op
random.laplace
URL: https://github.com/apache/incubator-mxnet/pull/17316#discussion_r366767094
##
File path: python/mxnet/symbol/numpy/random.py
##
@@ -290,6 +290,54 @@ def choice(a, size=None,
haojin2 commented on a change in pull request #17254: [numpy] change unary
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r366773395
##
File path: src/operator/tensor/elemwise_binary_op.h
##
@@ -525,6 +525,67 @@ class ElemwiseBinaryOp :
haojin2 commented on a change in pull request #17254: [numpy] change unary
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r366773595
##
File path: src/operator/tensor/elemwise_unary_op.h
##
@@ -252,6 +252,39 @@ class UnaryOp : public
haojin2 commented on a change in pull request #17254: [numpy] change unary
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r366773091
##
File path: src/operator/tensor/elemwise_binary_op.h
##
@@ -525,6 +525,67 @@ class ElemwiseBinaryOp :
haojin2 commented on a change in pull request #17254: [numpy] change unary
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r366778630
##
File path: src/operator/tensor/elemwise_binary_op.h
##
@@ -525,6 +525,67 @@ class ElemwiseBinaryOp :
kshitij12345 opened a new pull request #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321
@apeforest @reminisce
Going through the code for `_backward_tanh`, it is implemented as `1 -
(tanh^2(x))`, which is
kshitij12345 commented on issue #15530: [MXNET-978] Higher Order Gradient
Support `arcsinh`, `arccosh`.
URL: https://github.com/apache/incubator-mxnet/pull/15530#issuecomment-574596211
@larroy , Can you please check if it is always failing on windows system. I
tried running with the
haojin2 commented on a change in pull request #17302: [numpy]add op
random.logistic
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r366765107
##
File path: src/operator/numpy/random/np_logistic_op.h
##
@@ -0,0 +1,331 @@
+/*
+ * Licensed to the Apache
haojin2 commented on a change in pull request #17302: [numpy]add op
random.logistic
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r366765196
##
File path: src/operator/numpy/random/np_logistic_op.h
##
@@ -0,0 +1,331 @@
+/*
+ * Licensed to the Apache
liuzh91 opened a new pull request #17322: Add event handlers in validation
handler
URL: https://github.com/apache/incubator-mxnet/pull/17322
## Description ##
Add customized event handlers in `ValidationHandler`, fixes #17320
## Checklist ##
### Essentials ###
Please feel
hanke580 opened a new pull request #17323: [Numpy] Kron operator
URL: https://github.com/apache/incubator-mxnet/pull/17323
## Description ##
* Add Kron operator
* Including Forward and Backward
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
kshitij12345 commented on issue #17325: Fix Flaky Test Higher Order Grad
URL: https://github.com/apache/incubator-mxnet/pull/17325#issuecomment-574670206
@apeforest @larroy @sxjscience Please review.
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lausen pushed a commit to branch leezu-patch-1
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The following commit(s) were added to refs/heads/leezu-patch-1 by this push:
new 78e3bb5 Update
leezu opened a new pull request #17324: USE_JEMALLOC=OFF by default
URL: https://github.com/apache/incubator-mxnet/pull/17324
## Description ##
As of jemalloc 5, jemalloc default build can not be used in libraries that
are dlopened. However, libmxnet.so is dlopened by Python (ctypes).
leezu commented on issue #15647: Segmentation fault: 11
URL:
https://github.com/apache/incubator-mxnet/issues/15647#issuecomment-574623185
Please uninstall and reinstall mxnet
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aaronmarkham pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 8658d9b Bump the
leezu commented on a change in pull request #17293: [Build] Add a reasonable
default for CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#discussion_r366856342
##
File path: CMakeLists.txt
##
@@ -84,6 +84,10 @@ message(STATUS "CMake
leezu commented on issue #17293: [Build] Add a reasonable default for
CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#issuecomment-574643566
It's expected that to compile software, the compiler must be available. For
that, it must be either on `$PATH`
codecov-io commented on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574647005
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codecov-io edited a comment on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574647005
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codecov-io edited a comment on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574647005
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codecov-io edited a comment on issue #17319: [BugFix] Fixes version comparison
algorithm
URL: https://github.com/apache/incubator-mxnet/pull/17319#issuecomment-574631930
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codecov-io commented on issue #17319: [BugFix] Fixes version comparison
algorithm
URL: https://github.com/apache/incubator-mxnet/pull/17319#issuecomment-574631930
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codecov-io edited a comment on issue #17319: [BugFix] Fixes version comparison
algorithm
URL: https://github.com/apache/incubator-mxnet/pull/17319#issuecomment-574631930
#
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ZheyuYe opened a new issue #17327: np.ndarray indexing after hybridize
URL: https://github.com/apache/incubator-mxnet/issues/17327
## Description
Indexing is an important feature of numpy that supports complex positioning
and value operations as [Numpy |
leezu commented on a change in pull request #17293: [Build] Add a reasonable
default for CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#discussion_r366856342
##
File path: CMakeLists.txt
##
@@ -84,6 +84,10 @@ message(STATUS "CMake
leezu commented on a change in pull request #17293: [Build] Add a reasonable
default for CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#discussion_r366920430
##
File path: CMakeLists.txt
##
@@ -84,6 +84,10 @@ message(STATUS "CMake
codecov-io edited a comment on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574647005
#
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ptrendx commented on a change in pull request #17265: Add bfloat16
floating-point format support based on AMP
URL: https://github.com/apache/incubator-mxnet/pull/17265#discussion_r366978831
##
File path: 3rdparty/mshadow/mshadow/base.h
##
@@ -988,6 +1034,7 @@ struct
haojin2 commented on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574773304
@kshitij12345 Have you tried to run this new version with > 500 trials?
apeforest commented on issue #17293: [Build] Add a reasonable default for
CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#issuecomment-574792629
@larroy In which environment did you see this problem? Could you paste the
diagnose.py result here?
CassiniXu opened a new pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328
## Description ##
add op pad
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts
anjishnu edited a comment on issue #17298: [MXNET-1438] Adding SDML loss
function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574802286
@haojin2 if I randomized the input data in the original test code the losses
would would have different values during each run
anjishnu commented on issue #17298: [MXNET-1438] Adding SDML loss function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574802286
@haojin2 if I randomized the input data in the original test code the losses
would would have different values during each run (SDML
ptrendx commented on a change in pull request #17265: Add bfloat16
floating-point format support based on AMP
URL: https://github.com/apache/incubator-mxnet/pull/17265#discussion_r366948096
##
File path: 3rdparty/mshadow/mshadow/base.h
##
@@ -988,6 +1034,7 @@ struct
kshitij12345 commented on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574775392
@haojin2 , Hi can you tell me how I can do that.
haojin2 commented on issue #17298: [MXNET-1438] Adding SDML loss function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574779763
@anjishnu I was actually only asking for getting the input data randomized
with the original version of test code untouched.
kshitij12345 commented on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574789490
@apeforest @haojin2 , Yes I have seen that it is happening for `arcsin` and
`arctanh` as well as #16739.
ChaiBapchya commented on issue #17297: Fix NCCL Cmake autodetect issue
URL: https://github.com/apache/incubator-mxnet/pull/17297#issuecomment-574796638
Verified this works by running following
Fresh cmake build
```
rm -rf build
mkdir -p build && cd build
cmake -GNinja \
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The following commit(s) were added to refs/heads/asf-site by this push:
new 84b1c08 Bump the
haojin2 commented on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574777476
@kshitij12345 like this:
`MXNET_TEST_COUNT=500 nosetests
apeforest commented on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574787894
@kshitij12345 Could you please also do so for other operators? I suspect
they might have similar issues as
access2rohit commented on a change in pull request #17309: adding docs for
64bit C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r367037006
##
File path: include/mxnet/c_api.h
##
@@
access2rohit commented on a change in pull request #17309: adding docs for
64bit C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r367037006
##
File path: include/mxnet/c_api.h
##
@@
ChaiBapchya commented on issue #17297: Fix NCCL Cmake autodetect issue
URL: https://github.com/apache/incubator-mxnet/pull/17297#issuecomment-574798885
@mxnet-label-bot [pr-awaiting-review]
This is an automated message from
aaronmarkham edited a comment on issue #17244: Incorrect installation
instruction
URL:
https://github.com/apache/incubator-mxnet/issues/17244#issuecomment-574759781
> @aaronmarkham what's the alternative solution you're proposing?
Maybe mxnet-oncall can spend time looking at the
aaronmarkham commented on issue #17244: Incorrect installation instruction
URL:
https://github.com/apache/incubator-mxnet/issues/17244#issuecomment-574759781
> @aaronmarkham what's the alternative solution you're proposing?
Maybe mxnet-oncall can spend time looking at the js function
kshitij12345 commented on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574786882
@haojin2 Thank You.
That helped, first order test failed once. Have relaxed the tolerance for
first
kshitij12345 commented on issue #17325: Fix Flaky Test Higher Order Grad
URL: https://github.com/apache/incubator-mxnet/pull/17325#issuecomment-574789821
It is failing the test with multiple trials. Still needs to be fixed.
access2rohit commented on a change in pull request #17305: grouping large array
tests based on type and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305#discussion_r367048895
##
File path: tests/nightly/test_large_array.py
##
@@
haojin2 commented on a change in pull request #17311: Added
beamsearch_set_finished Operator
URL: https://github.com/apache/incubator-mxnet/pull/17311#discussion_r367028141
##
File path: src/operator/contrib/beamsearch_set_finished.cc
##
@@ -0,0 +1,66 @@
+#include
haojin2 commented on a change in pull request #17311: Added
beamsearch_set_finished Operator
URL: https://github.com/apache/incubator-mxnet/pull/17311#discussion_r367027893
##
File path: src/operator/contrib/beamsearch_set_finished-inl.h
##
@@ -0,0 +1,148 @@
+#include
+
haojin2 commented on a change in pull request #17311: Added
beamsearch_set_finished Operator
URL: https://github.com/apache/incubator-mxnet/pull/17311#discussion_r367028420
##
File path: tests/python/gpu/test_operator_gpu.py
##
@@ -1698,6 +1698,54 @@ def
apeforest commented on issue #17181: Fail to build mxnet from source
URL:
https://github.com/apache/incubator-mxnet/issues/17181#issuecomment-574793797
Okay if I follow all the instructions on the web to apt update all required
packages, I no longer face the issue. I guess it's probably I
ChaiBapchya edited a comment on issue #17297: Fix NCCL Cmake autodetect issue
URL: https://github.com/apache/incubator-mxnet/pull/17297#issuecomment-574798885
@mxnet-label-bot add [pr-awaiting-review]
This is an automated
haojin2 commented on a change in pull request #17311: Added
beamsearch_set_finished Operator
URL: https://github.com/apache/incubator-mxnet/pull/17311#discussion_r367027893
##
File path: src/operator/contrib/beamsearch_set_finished-inl.h
##
@@ -0,0 +1,148 @@
+#include
+
access2rohit commented on a change in pull request #17309: adding docs for
64bit C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r367037006
##
File path: include/mxnet/c_api.h
##
@@
access2rohit commented on a change in pull request #17309: adding docs for
64bit C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r367037006
##
File path: include/mxnet/c_api.h
##
@@
anirudh2290 commented on issue #16654: Multithreaded Inference Support
URL: https://github.com/apache/incubator-mxnet/pull/16654#issuecomment-574818547
@rondogency I am happy to add more comments for the thread safe cached op or
the code that I have touched in this PR.
larroy commented on issue #17293: [Build] Add a reasonable default for
CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#issuecomment-574833068
@apeforest ubuntu 18.04 with nvidia machine learning APT repositories,
pretty standard. I will update with
eric-haibin-lin commented on issue #17292: Can't run horovod with latest
nightly wheel
URL:
https://github.com/apache/incubator-mxnet/issues/17292#issuecomment-574832896
@szha
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larroy commented on a change in pull request #17293: [Build] Add a reasonable
default for CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#discussion_r367079684
##
File path: CMakeLists.txt
##
@@ -84,6 +84,10 @@ message(STATUS "CMake
larroy commented on a change in pull request #17293: [Build] Add a reasonable
default for CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#discussion_r367079561
##
File path: CMakeLists.txt
##
@@ -84,6 +84,10 @@ message(STATUS "CMake
apeforest edited a comment on issue #17292: Can't run horovod with latest
nightly wheel
URL:
https://github.com/apache/incubator-mxnet/issues/17292#issuecomment-574848779
Thanks @stephenrawls for the analysis.
Here are the causes of the problem:
1) Horovod uses MX_API_BEGIN()
haojin2 commented on issue #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321#issuecomment-574882067
Merged, please continue with fixing other flaky higher-order gradient tests
@kshitij12345
haojin2 closed issue #17304: [flaky] test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/issues/17304
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haojin2 merged pull request #17321: Fixes #17304 Flaky Test ->
test_higher_order_grad.test_tanh
URL: https://github.com/apache/incubator-mxnet/pull/17321
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roywei opened a new issue #17329: License issue with 1.6.0.rc1
URL: https://github.com/apache/incubator-mxnet/issues/17329
Following are the license issue found by mentors during 1.6.0.rc1 vote
@general.
leezu commented on issue #17181: Fail to build mxnet from source
URL:
https://github.com/apache/incubator-mxnet/issues/17181#issuecomment-574822917
I'll close this issue for now, please reopen @mjsML if you can still
reproduce this.
leezu closed issue #17181: Fail to build mxnet from source
URL: https://github.com/apache/incubator-mxnet/issues/17181
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haojin2 commented on issue #17302: [numpy]add op random.logistic
URL: https://github.com/apache/incubator-mxnet/pull/17302#issuecomment-574875122
also, fix the sanity issues:
```
src/operator/numpy/random/np_logistic_op.h:331: #endif line should be
"#endif //
sxjscience commented on issue #17327: np.ndarray indexing after hybridize
URL:
https://github.com/apache/incubator-mxnet/issues/17327#issuecomment-574875177
@ZheyuYe In terms of `mx.npx.pick` we can support multiple-dimensional
selection as long as we are selecting the leading ones:
roywei opened a new pull request #17330: update notice
URL: https://github.com/apache/incubator-mxnet/pull/17330
## Description ##
fix NOTICE issues in https://github.com/apache/incubator-mxnet/issues/17329
Looks like we have to specify the current year and update it every year.
haojin2 commented on a change in pull request #17323: [Numpy] Kron operator
URL: https://github.com/apache/incubator-mxnet/pull/17323#discussion_r367131577
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -418,6 +418,55 @@ def hybrid_forward(self, F, a, b):
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367138993
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -8517,3 +8516,98 @@ def bincount(x, weights=None, minlength=0):
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367139109
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -8467,7 +8467,6 @@ def where(condition, x=None, y=None):
"""
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367139190
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -8517,3 +8516,98 @@ def bincount(x, weights=None, minlength=0):
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367139047
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -8517,3 +8516,98 @@ def bincount(x, weights=None, minlength=0):
anirudh2290 commented on a change in pull request #16654: Multithreaded
Inference Support
URL: https://github.com/apache/incubator-mxnet/pull/16654#discussion_r367063730
##
File path: src/imperative/cached_op_threadsafe.cc
##
@@ -0,0 +1,329 @@
+/*
+ * Licensed to the
apeforest commented on issue #17292: Can't run horovod with latest nightly wheel
URL:
https://github.com/apache/incubator-mxnet/issues/17292#issuecomment-574848779
Thanks @stephenrawls for the analysis.
Here is the rootcause of the problem:
1) Horovod uses MX_API_BEGIN() and
haojin2 commented on a change in pull request #17323: [Numpy] Kron operator
URL: https://github.com/apache/incubator-mxnet/pull/17323#discussion_r367133643
##
File path: src/operator/numpy/np_kron-inl.h
##
@@ -0,0 +1,261 @@
+/*
+ * Licensed to the Apache Software
roywei commented on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574831171
@hzfan @reminisce @haojin2 Looks like we need to remove the ASF header if
this file is directly copied from numpy, and add it to whitelist of
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