ZhennanQin 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_r367265169
##
File path: 3rdparty/mshadow/mshadow/base.h
##
@@ -988,6 +1034,7 @@ struct
ZhennanQin 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_r367265169
##
File path: 3rdparty/mshadow/mshadow/base.h
##
@@ -988,6 +1034,7 @@ struct
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aaronmarkham pushed a commit to branch asf-site
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new 616bcd3 Bump the
mahxn0 commented on issue #14875: MXNet to ONNX export bug
URL:
https://github.com/apache/incubator-mxnet/issues/14875#issuecomment-575012459
same problom, when used torch yolov32onnx.py, so easy to convert
I will give up mxnet never look back
samskalicky commented on a change in pull request #17270: [WIP] Dynamic custom
operator GPU support
URL: https://github.com/apache/incubator-mxnet/pull/17270#discussion_r367251787
##
File path: src/c_api/c_api.cc
##
@@ -720,8 +751,11 @@ int MXLoadLib(const char *path) {
samskalicky commented on a change in pull request #17270: [WIP] Dynamic custom
operator GPU support
URL: https://github.com/apache/incubator-mxnet/pull/17270#discussion_r367251499
##
File path: src/c_api/c_api.cc
##
@@ -720,8 +751,11 @@ int MXLoadLib(const char *path) {
samskalicky commented on a change in pull request #17270: [WIP] Dynamic custom
operator GPU support
URL: https://github.com/apache/incubator-mxnet/pull/17270#discussion_r367251499
##
File path: src/c_api/c_api.cc
##
@@ -720,8 +751,11 @@ int MXLoadLib(const char *path) {
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apeforest pushed a change to branch master
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from 6b9a1da Multi-tensor LAMB (#16893)
add 04c3eec grouping large vector tests based on their type
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apeforest pushed a change to branch master
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from 6b9a1da Multi-tensor LAMB (#16893)
add 04c3eec grouping large vector tests based on their type
apeforest merged pull request #17306: grouping large vector tests based on
their type and adding their nightly test function
URL: https://github.com/apache/incubator-mxnet/pull/17306
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hanke580 commented on a change in pull request #17323: [Numpy] Kron operator
URL: https://github.com/apache/incubator-mxnet/pull/17323#discussion_r367234104
##
File path: src/operator/numpy/np_kron-inl.h
##
@@ -0,0 +1,261 @@
+/*
+ * Licensed to the Apache Software
liuzh91 commented on issue #17134: add batch_axis in validation handler
URL: https://github.com/apache/incubator-mxnet/pull/17134#issuecomment-574976440
> @liuzh91 could you rebase your PR so CI will pass?
Done.
This
ChaiBapchya commented on issue #17305: grouping large array tests based on type
and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305#issuecomment-574967580
@access2rohit to prevent any issue coming ahead, can you please post the
results of the tests?
liuzh91 commented on a change in pull request #17322: Add event handlers in
validation handler
URL: https://github.com/apache/incubator-mxnet/pull/17322#discussion_r367217067
##
File path: python/mxnet/gluon/contrib/estimator/event_handler.py
##
@@ -181,14 +181,17 @@
cyrusbehr opened a new issue #17338: Unable to build mxnet with USE_OPENMP=OFF
URL: https://github.com/apache/incubator-mxnet/issues/17338
I need to compile mxnet to run in single thread mode. From what I have
found, using the environment variables `MXNET_ENGINE_TYPE=NaiveEngine` and
ResearchingDexter commented on issue #15647: Segmentation fault: 11
URL:
https://github.com/apache/incubator-mxnet/issues/15647#issuecomment-574960028
It didn't work that uninstall and reinstall mxnet. I reinstall mxnet many
times, please help me. @leezu
shawnbrar opened a new issue #17337: MXNET Installation for R-Package are wrong
URL: https://github.com/apache/incubator-mxnet/issues/17337
The official installation instructions of Mxnet for R on Ubuntu are wrong.
Under the Install the MXNet Package for R heading it says that "source root
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haibin pushed a change to branch master
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from 7b349dd grouping large array tests based on type and updating nightly
CI function (#17305)
add
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haibin pushed a change to branch master
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from 7b349dd grouping large array tests based on type and updating nightly
CI function (#17305)
add
ChaiBapchya commented on a change in pull request #17297: Fix NCCL Cmake
autodetect issue
URL: https://github.com/apache/incubator-mxnet/pull/17297#discussion_r367201643
##
File path: cmake/Modules/FindNCCL.cmake
##
@@ -33,6 +33,23 @@
set(NCCL_ROOT_DIR "" CACHE PATH
eric-haibin-lin merged pull request #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893
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eric-haibin-lin commented on issue #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893#issuecomment-574949055
Thank you @MoisesHer for addressing all the review comments
This is an automated
wuxun-zhang commented on issue #17231: cannot quantization example
URL:
https://github.com/apache/incubator-mxnet/issues/17231#issuecomment-574948869
@zhhoper May I know your exact command to build MXNet from source? And your
complete benchamrk commands? Thanks.
eric-haibin-lin commented on a change in pull request #17270: [WIP] Dynamic
custom operator GPU support
URL: https://github.com/apache/incubator-mxnet/pull/17270#discussion_r367199659
##
File path: src/c_api/c_api.cc
##
@@ -720,8 +751,11 @@ int MXLoadLib(const char *path)
ptrendx commented on issue #17335: Excessive GPU memory usage with dynamic
shape input using Gluon interface
URL:
https://github.com/apache/incubator-mxnet/issues/17335#issuecomment-574946066
@DickJC123 Could you take a look?
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-574946070
This fixes https://github.com/apache/incubator-mxnet/issues/15492
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-574945806
https://github.com/apache/incubator-mxnet/pull/17031
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-574945865
@mxnet-label-bot add [breaking]
This is an
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-574945507
```
piotr@34-222-129-72:0:~/mxnet (cmake_cuda_compiler)+$ lsb_release -a
No LSB modules are available.
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-574945274
```
--Python Info--
('Version :', '2.7.17')
('Compiler :', 'GCC 7.4.0')
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-574945020
We never had to do such a thing. This is happening due to CMake changes. I
applied your suggestion. I would
cyrusbehr edited a comment on issue #15275: How to run mxnet(C++) in
single-thread mode?
URL:
https://github.com/apache/incubator-mxnet/issues/15275#issuecomment-574939560
@igor-byel I experienced the same issue you are facing, and here is my fix.
The issue is likely due to the way you
cyrusbehr commented on issue #15275: How to run mxnet(C++) in single-thread
mode?
URL:
https://github.com/apache/incubator-mxnet/issues/15275#issuecomment-574939560
@igor-byel I experienced the same issue you are facing, and here is my fix.
The issue is likely due to the way you are
eric-haibin-lin opened a new pull request #17336: [BUGFIX] fix model zoo
parallel download
URL: https://github.com/apache/incubator-mxnet/pull/17336
## Description ##
Fixes https://github.com/apache/incubator-mxnet/issues/17332
## Checklist ##
### Essentials ###
Please
DickJC123 commented on issue #16831: [CI] Python2: CPU - hangs after
test_create_np_param
URL:
https://github.com/apache/incubator-mxnet/issues/16831#issuecomment-574934466
The hang I reported in this old issue has occurred again in the exact same
place, which I inferred to be in
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aaronmarkham pushed a commit to branch asf-site
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new a91d89d Bump the
blchu commented on a change in pull request #17311: Added
beamsearch_set_finished Operator
URL: https://github.com/apache/incubator-mxnet/pull/17311#discussion_r367184172
##
File path: src/operator/contrib/beamsearch_set_finished-inl.h
##
@@ -0,0 +1,148 @@
+#include
+
ptrendx commented on issue #15547: Pybind11 license issue from onnx tensorrt
URL:
https://github.com/apache/incubator-mxnet/issues/15547#issuecomment-574929311
The latest ONNX-TensorRT (v7.0) contains the onnx commit that has the right
LICENSE in pyBind. However, switching to it would
anjishnu commented on issue #17298: [MXNET-1438] Adding SDML loss function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574927315
Verifying that mention of this PR in #17292 is a typo - author meant to
refer to #17208 - we are not breaking horovod
ZhennanQin commented on issue #14728: [MXNET-1386] fix for shape mismatch
URL: https://github.com/apache/incubator-mxnet/pull/14728#issuecomment-574926950
@ChaiBapchya `test_subgraph.test_pos_conv_add2` doesn't failed in master,
but failed with this PR. What I mean is,
haojin2 commented on a change in pull request #17283: [NumPy]Set numpy default
dtype
URL: https://github.com/apache/incubator-mxnet/pull/17283#discussion_r367181864
##
File path: src/operator/tensor/init_op.h
##
@@ -44,6 +44,19 @@
namespace mxnet {
namespace op {
haojin2 commented on a change in pull request #17283: [NumPy]Set numpy default
dtype
URL: https://github.com/apache/incubator-mxnet/pull/17283#discussion_r367181706
##
File path: src/operator/tensor/init_op.h
##
@@ -44,6 +44,19 @@
namespace mxnet {
namespace op {
aaronmarkham closed issue #16492: Broken Links - Python Tutorial | Getting
Started
URL: https://github.com/apache/incubator-mxnet/issues/16492
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aaronmarkham closed issue #16509: autograd tutorial is missing its images
URL: https://github.com/apache/incubator-mxnet/issues/16509
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roywei commented on a change in pull request #17322: Add event handlers in
validation handler
URL: https://github.com/apache/incubator-mxnet/pull/17322#discussion_r367176134
##
File path: python/mxnet/gluon/contrib/estimator/event_handler.py
##
@@ -181,14 +181,17 @@ class
haojin2 commented on a change in pull request #17279: [Numpy] Add linalg.pinv op
URL: https://github.com/apache/incubator-mxnet/pull/17279#discussion_r367175367
##
File path: src/operator/numpy/linalg/np_pinv.cc
##
@@ -0,0 +1,195 @@
+/*
+ * Licensed to the Apache Software
haojin2 commented on a change in pull request #17279: [Numpy] Add linalg.pinv op
URL: https://github.com/apache/incubator-mxnet/pull/17279#discussion_r367175459
##
File path: src/operator/numpy/linalg/np_pinv.cc
##
@@ -0,0 +1,195 @@
+/*
+ * Licensed to the Apache Software
haojin2 commented on a change in pull request #17279: [Numpy] Add linalg.pinv op
URL: https://github.com/apache/incubator-mxnet/pull/17279#discussion_r367175293
##
File path: src/operator/numpy/linalg/np_pinv.cc
##
@@ -0,0 +1,195 @@
+/*
+ * Licensed to the Apache Software
Jerryzcn opened a new issue #17335: Excessive GPU memory usage with dynamic
shape input
URL: https://github.com/apache/incubator-mxnet/issues/17335
## Description
When using threaded engine with dynamic shape input. MXNet uses excessive
amount of GPU memory. In the following script,
roywei commented on a change in pull request #17334: Don't unnecessarily
relicense FindCUDAToolkit.cmake
URL: https://github.com/apache/incubator-mxnet/pull/17334#discussion_r367173016
##
File path: LICENSE
##
@@ -326,6 +326,8 @@
Copyright 2005-2015, Google Inc.
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apeforest pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 09cc72e Update NOTICE to fix copyright years (#17330)
add 7b349dd grouping large array tests
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apeforest pushed a change to branch master
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from 09cc72e Update NOTICE to fix copyright years (#17330)
add 7b349dd grouping large array tests
leezu opened a new pull request #17334: Don't unnecessarily relicense
FindCUDAToolkit.cmake
URL: https://github.com/apache/incubator-mxnet/pull/17334
## Description ##
Don't unnecessarily relicense FindCUDAToolkit.cmake. As per recommendation
in
apeforest merged pull request #17305: grouping large array tests based on type
and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305
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apeforest opened a new issue #17333: Consolidate build from source instruction
into one page
URL: https://github.com/apache/incubator-mxnet/issues/17333
## Description
Currently there are three pages of instructions for building from source:
roywei edited a comment on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574913499
> @roywei thanks. When removing the ASF header from
incubator-mxnet/cmake/Modules/FindCUDAToolkit.cmake, how to pass the RAT
license
roywei commented on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574913499
> @roywei thanks. When removing the ASF header from
incubator-mxnet/cmake/Modules/FindCUDAToolkit.cmake, how to pass the RAT
license check?
leezu commented on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574911354
@roywei thanks. When removing the ASF header from
incubator-mxnet/cmake/Modules/FindCUDAToolkit.cmake, how to pass the RAT
license check? There
eric-haibin-lin opened a new issue #17332: Race condition in downloading model
from model zoo in parallel
URL: https://github.com/apache/incubator-mxnet/issues/17332
When i use horovod for training, and call
`model = get_model(model_name, pretrained=True)`
It complains with
roywei edited a comment on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574909620
> > @hzfan @reminisce @haojin2 Looks like we need to remove the ASF header
if this file is directly copied from numpy, and add it to
apeforest opened a new issue #17331: [mxnet 2.0] Turning on large tensor
support by default
URL: https://github.com/apache/incubator-mxnet/issues/17331
## Description
Currently, MXNet only supports tensor size smaller than 2^31. To support
large tensors, users need to recompile MXNet
roywei commented on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574909620
> > @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
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lausen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from bd67723 Fix operators lying about their number of inputs (#17049)
add 09cc72e Update NOTICE to fix
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lausen pushed a change to branch master
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from bd67723 Fix operators lying about their number of inputs (#17049)
add 09cc72e Update NOTICE to fix
leezu merged pull request #17330: update notice
URL: https://github.com/apache/incubator-mxnet/pull/17330
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leezu commented on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574907676
> @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
haojin2 commented on a change in pull request #17234: Op Quantile/Percentile
[Numpy]
URL: https://github.com/apache/incubator-mxnet/pull/17234#discussion_r367163259
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -6023,6 +6023,159 @@ def nonzero(a):
return
TEChopra1000 commented on issue #16492: Broken Links - Python Tutorial |
Getting Started
URL:
https://github.com/apache/incubator-mxnet/issues/16492#issuecomment-574905381
@aaronmarkham these links have been fixed. This ticket can be closed.
roywei commented on issue #17134: add batch_axis in validation handler
URL: https://github.com/apache/incubator-mxnet/pull/17134#issuecomment-574903912
@liuzh91 could you rebase your PR so CI will pass?
This is an automated
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dickjc123 pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from be9e17e Fixes #17304 Flaky Test -> test_higher_order_grad.test_tanh
(#17321)
add bd67723 Fix
TEChopra1000 commented on issue #16509: autograd tutorial is missing its images
URL:
https://github.com/apache/incubator-mxnet/issues/16509#issuecomment-574903662
@aaronmarkham this issue has been resolved. You can close this ticket.
roywei edited a comment on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574829986
@PatricZhao could you help with the "Copyright 2019 Intel Corporation” and 3
and 4 under mkldnn? Thanks
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dickjc123 pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from be9e17e Fixes #17304 Flaky Test -> test_higher_order_grad.test_tanh
(#17321)
add bd67723 Fix
DickJC123 merged pull request #17049: Fix operators lying about their number of
inputs
URL: https://github.com/apache/incubator-mxnet/pull/17049
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aaronmarkham commented on issue #17329: License issue with 1.6.0.rc1
URL:
https://github.com/apache/incubator-mxnet/issues/17329#issuecomment-574900706
> @aaronmarkham any idea how to fix the font files in #2? Can we move it to
s3 and download it when building the docs?
I'd
eric-haibin-lin commented on issue #17265: Add bfloat16 floating-point format
support based on AMP
URL: https://github.com/apache/incubator-mxnet/pull/17265#issuecomment-574898654
@ElaineBao thanks for the explanation
This
larroy commented on a change in pull request #17325: Fix Flaky Test Higher
Order Grad
URL: https://github.com/apache/incubator-mxnet/pull/17325#discussion_r367152446
##
File path: python/mxnet/test_utils.py
##
@@ -102,6 +102,16 @@ def random_arrays(*shapes):
return
leezu commented on a change in pull request #17297: Fix NCCL Cmake autodetect
issue
URL: https://github.com/apache/incubator-mxnet/pull/17297#discussion_r367149908
##
File path: cmake/Modules/FindNCCL.cmake
##
@@ -33,6 +33,23 @@
set(NCCL_ROOT_DIR "" CACHE PATH "Folder
haojin2 commented on issue #17234: Op Quantile/Percentile [Numpy]
URL: https://github.com/apache/incubator-mxnet/pull/17234#issuecomment-574894032
Also, a bad non-ASCII character:
```
Failure: SyntaxError (Non-ASCII character '\xe2' in file
haojin2 commented on issue #17234: Op Quantile/Percentile [Numpy]
URL: https://github.com/apache/incubator-mxnet/pull/17234#issuecomment-574893569
address the sanity issues:
http://jenkins.mxnet-ci.amazon-ml.com/job/mxnet-validation/job/sanity/job/PR-17234/5/display/redirect
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367147434
##
File path: src/operator/numpy/np_pad_op-inl.h
##
@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146763
##
File path: src/operator/numpy/np_pad_op-inl.h
##
@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146951
##
File path: src/operator/numpy/np_pad_op-inl.h
##
@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367147044
##
File path: src/operator/numpy/np_pad_op-inl.h
##
@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146462
##
File path: src/operator/numpy/np_pad_op-inl.h
##
@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146496
##
File path: src/operator/numpy/np_pad_op-inl.h
##
@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146557
##
File path: src/operator/numpy/np_pad_op-inl.h
##
@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146521
##
File path: src/operator/numpy/np_pad_op-inl.h
##
@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146039
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File path: python/mxnet/symbol/numpy/_symbol.py
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@@ -5866,4 +5866,116 @@ def bincount(x, weights=None,
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146199
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File path: python/mxnet/symbol/numpy/_symbol.py
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@@ -5866,4 +5866,116 @@ def bincount(x, weights=None,
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146226
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File path: python/mxnet/symbol/numpy/_symbol.py
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@@ -5866,4 +5866,116 @@ def bincount(x, weights=None,
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367146145
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File path: python/mxnet/symbol/numpy/_symbol.py
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@@ -5866,4 +5866,116 @@ def bincount(x, weights=None,
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367145836
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File path: tests/python/unittest/test_numpy_op.py
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@@ -5597,6 +5597,59 @@ def hybrid_forward(self,F,a):
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367144773
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File path: src/operator/numpy/np_pad_op.cu
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@@ -0,0 +1,47 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367144282
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File path: src/operator/numpy/np_pad_op-inl.h
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@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367144346
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File path: src/operator/numpy/np_pad_op-inl.h
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@@ -0,0 +1,735 @@
+/*
+ * Licensed to the Apache Software Foundation
haojin2 commented on a change in pull request #17328: [numpy] add op pad
URL: https://github.com/apache/incubator-mxnet/pull/17328#discussion_r367143987
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -6476,3 +6475,126 @@ 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_r367144014
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -6476,3 +6475,126 @@ 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_r367143959
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -6476,3 +6475,126 @@ 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_r367143100
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -6476,3 +6475,126 @@ def bincount(x, weights=None, minlength=0):
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