marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175344175
##
File path: julia/.travis.yml
##
@@ -0,0 +1,59 @@
+# Documentation: http://docs.travis-ci.com/user/languages
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175345126
##
File path: julia/deps/build.jl
##
@@ -0,0 +1,261 @@
+import JSON
+
+###
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175344423
##
File path: julia/README-DEV.md
##
@@ -0,0 +1,13 @@
+# Workflow for making a release
Review comment:
P
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175343847
##
File path: ci/docker/runtime_functions.sh
##
@@ -399,6 +399,14 @@ unittest_ubuntu_gpu_R() {
make rpkgt
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175343542
##
File path: ci/docker/runtime_functions.sh
##
@@ -399,6 +399,14 @@ unittest_ubuntu_gpu_R() {
make rpkgt
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175345021
##
File path: julia/deps/build.jl
##
@@ -0,0 +1,261 @@
+import JSON
+
+###
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175344824
##
File path: julia/deps/build.jl
##
@@ -0,0 +1,261 @@
+import JSON
+
+###
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175344254
##
File path: julia/LICENSE.md
##
@@ -0,0 +1,179 @@
+The MXNet.jl package is licensed under version 2.0 of the
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175344748
##
File path: julia/appveyor.yml
##
@@ -0,0 +1,39 @@
+environment:
Review comment:
Would you be able to
marcoabreu commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175343946
##
File path: ci/docker/runtime_functions.sh
##
@@ -399,6 +399,14 @@ unittest_ubuntu_gpu_R() {
make rpkgt
marcoabreu commented on issue #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#issuecomment-374120010
I left a few comments, but there are a few more things to do as part of the
migration. Feel free to reach back to me in case any questions arise.
pengzhao-intel commented on issue #10086: [MXNET-84] Segfault
test_autograd.test_unary_func @ Python3: MKLDNN-CPU
URL:
https://github.com/apache/incubator-mxnet/issues/10086#issuecomment-374121319
@marcoabreu we are trying to reproduce this issue but can't. Could you
reproduce it?
marcoabreu commented on issue #10086: [MXNET-84] Segfault
test_autograd.test_unary_func @ Python3: MKLDNN-CPU
URL:
https://github.com/apache/incubator-mxnet/issues/10086#issuecomment-374121900
Hi Patric, could you try using the seed 56561434?
--
TaoLv closed issue #9714: Does global pooling support padding?
URL: https://github.com/apache/incubator-mxnet/issues/9714
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pengzhao-intel commented on issue #10086: [MXNET-84] Segfault
test_autograd.test_unary_func @ Python3: MKLDNN-CPU
URL:
https://github.com/apache/incubator-mxnet/issues/10086#issuecomment-374124457
No crash with specified seed @marcoabreu
```
(apache)[zhiyuanh@mlt-skx060 incubato
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175362585
##
File path: ci/docker/runtime_functions.sh
##
@@ -399,6 +399,14 @@ unittest_ubuntu_gpu_R() {
make rpkgtest
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175363170
##
File path: ci/docker/runtime_functions.sh
##
@@ -399,6 +399,14 @@ unittest_ubuntu_gpu_R() {
make rpkgtest
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175364401
##
File path: ci/docker/runtime_functions.sh
##
@@ -399,6 +399,14 @@ unittest_ubuntu_gpu_R() {
make rpkgtest
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175365481
##
File path: julia/.travis.yml
##
@@ -0,0 +1,59 @@
+# Documentation: http://docs.travis-ci.com/user/languages/jul
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175366936
##
File path: julia/deps/build.jl
##
@@ -0,0 +1,261 @@
+import JSON
+
+###
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175368462
##
File path: julia/deps/build.jl
##
@@ -0,0 +1,261 @@
+import JSON
+
+###
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175368493
##
File path: julia/deps/build.jl
##
@@ -0,0 +1,261 @@
+import JSON
+
+###
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175368631
##
File path: julia/appveyor.yml
##
@@ -0,0 +1,39 @@
+environment:
Review comment:
👌
-
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r175369228
##
File path: julia/README-DEV.md
##
@@ -0,0 +1,13 @@
+# Workflow for making a release
Review comment:
Sell,
marcoabreu commented on issue #10086: [MXNET-84] Segfault
test_autograd.test_unary_func @ Python3: MKLDNN-CPU
URL:
https://github.com/apache/incubator-mxnet/issues/10086#issuecomment-374155149
Seems like we'll have to dig a bit deeper to find the segfault. Since it's
not using an MKL oper
lebeg commented on issue #10148: How to apply the math operators to NDArray in
C++
URL:
https://github.com/apache/incubator-mxnet/issues/10148#issuecomment-374167469
Can you provide a concrete code example so that we can have a look?
---
lebeg commented on issue #10128: Shared library dependent on mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/10128#issuecomment-374169097
Can you provide more information on liblibexample.so? How does it depend on
mxnet?
tianxingyzxq commented on issue #8772: Build source code problem cannot
convert from 'mshadow::Stream *' to 'mshadow::Stream *'
URL:
https://github.com/apache/incubator-mxnet/issues/8772#issuecomment-374202023
same problem on win7 cuda8.0!
![err_mxnet](https://user-images.githubuser
tianxingyzxq commented on issue #8772: Build source code problem cannot
convert from 'mshadow::Stream *' to 'mshadow::Stream *'
URL:
https://github.com/apache/incubator-mxnet/issues/8772#issuecomment-374202178
错误 394 error C2440: “默认参数”: 无法从“mshadow::Stream
*”转换为“mshadow::Stream
yzhliu opened a new pull request #10155: [MXNet-111] Doc for
gluon.data.transforms
URL: https://github.com/apache/incubator-mxnet/pull/10155
## Description ##
Documents for gluon.vision.transforms
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable ite
nicklhy commented on issue #10148: How to apply the math operators to NDArray
in C++
URL:
https://github.com/apache/incubator-mxnet/issues/10148#issuecomment-374237408
@lebeg , First, I managed to use a channel-wise scale operator "y = ax+b" to
replace the BatchNorm for speed acceleration
nicklhy commented on issue #10148: How to apply the math operators to NDArray
in C++
URL:
https://github.com/apache/incubator-mxnet/issues/10148#issuecomment-374237408
@lebeg , First, I managed to use a channel-wise scale operator "y = ax+b" to
replace the BatchNorm for speed acceleration
jj200789 closed issue #10107: Error occupied while using multi GPUs in some
toy-ctc
URL: https://github.com/apache/incubator-mxnet/issues/10107
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pluskid commented on issue #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#issuecomment-374272101
Thanks @iblis17 a lot! Yes, adding instructions for making a release would
make everybody's life easier. Also maybe it is sensible to remove or at le
cjolivier01 opened a new pull request #10156: add deprecated
profiler_set_state()
URL: https://github.com/apache/incubator-mxnet/pull/10156
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicab
cjolivier01 commented on a change in pull request #8972: Profiling
enhancements, python API, vtune and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#discussion_r175497790
##
File path: python/mxnet/profiler.py
##
@@ -35,13 +68,16 @@
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omit ffde373 [WIP] Test CI build (#10111)
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te
olir commented on issue #8075: scala on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/8075#issuecomment-374277313
Need this fixed, too. I would like to use it from java on windows.
@evanthomas wrote: "Visual Studio 2013 is no longer available".
If found a link of m
olir commented on issue #8075: scala on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/8075#issuecomment-374277313
Need this fixed, too. I would like to use it from java on windows.
@evanthomas wrote: "Visual Studio 2013 is no longer available".
If found a link of m
lebeg commented on issue #10148: How to apply the math operators to NDArray in
C++
URL:
https://github.com/apache/incubator-mxnet/issues/10148#issuecomment-374280724
The C++ API is not perfect at the moment and goes through a design review in
the dev mailing list. There is no sqrt as a ND
reminisce commented on a change in pull request #10150: [WIP] [DO NOT MERGE]
Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175500593
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
reminisce commented on a change in pull request #10150: [WIP] [DO NOT MERGE]
Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175506928
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
haojin2 commented on a change in pull request #10150: [WIP] [DO NOT MERGE]
Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175508096
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
##
ThomasDelteil commented on a change in pull request #9583: use nd for accuracy
calculation
URL: https://github.com/apache/incubator-mxnet/pull/9583#discussion_r175508386
##
File path: python/mxnet/metric.py
##
@@ -380,23 +380,27 @@ def update(self, labels, preds):
ThomasDelteil commented on issue #9571: ACCURACY IS USING NUMPY, URGENT FIX
URL:
https://github.com/apache/incubator-mxnet/issues/9571#issuecomment-374285733
That seems pretty critical indeed. The previous PR wasn't correct, it was
still doing the computation using asnumpy() because it was
haojin2 commented on issue #10135: [MXNET-100] Fix buggy type inference in
Correlation
URL: https://github.com/apache/incubator-mxnet/pull/10135#issuecomment-374288427
@marcoabreu test added for mutual type inference in Correlation operator
-
haojin2 commented on a change in pull request #10150: [WIP] [DO NOT MERGE]
Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175512111
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
##
ThomasDelteil commented on issue #10140: Docs page for ONNX module.
URL: https://github.com/apache/incubator-mxnet/pull/10140#issuecomment-374293017
I am writing a tutorial on ONNX with MXNet, it would be nice if the docs
show an example on how to load an ONNX model in Gluon using a symboli
cjolivier01 commented on a change in pull request #10150: [WIP] [DO NOT MERGE]
Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175515402
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
##
anirudhacharya commented on issue #10140: Docs page for ONNX module.
URL: https://github.com/apache/incubator-mxnet/pull/10140#issuecomment-374296260
@ThomasDelteil Will include it. As discussed on github, we will also
eventually have an API for gluon import and that API will have its own
ThomasDelteil opened a new pull request #10157: Update Dockerfile to use
apache/incubator-mxnet url
URL: https://github.com/apache/incubator-mxnet/pull/10157
Update dockerfile to use apache/incubator-mxnet url
## Description ##
(Brief description on what this PR is about)
#
ThomasDelteil closed pull request #10157: Update Dockerfile to use
apache/incubator-mxnet url
URL: https://github.com/apache/incubator-mxnet/pull/10157
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenanc
leopd opened a new issue #10158: Assertion fail when creating very large matrix
URL: https://github.com/apache/incubator-mxnet/issues/10158
## Description
MXNet crashes with assertion failure when creating matrix with more than 4
billion entries.
```
MXNetError: [17:43:16] incl
rahul003 commented on issue #9028: How to use the C API to train simple a
Softmax in pure C?
URL:
https://github.com/apache/incubator-mxnet/issues/9028#issuecomment-374305166
@cjolivier01 Could you please add labels Question, Feature Request
---
rahul003 commented on issue #9087: MXNET 1.0.0 - marginal performance
improvement Titan V (Volta) with half precision cuda 9.0 + cudnn 7.0.5
URL:
https://github.com/apache/incubator-mxnet/issues/9087#issuecomment-374306031
@yangjunpro With imagenet it should be possible to see 50-80% speed
rahul003 commented on issue #9087: MXNET 1.0.0 - marginal performance
improvement Titan V (Volta) with half precision cuda 9.0 + cudnn 7.0.5
URL:
https://github.com/apache/incubator-mxnet/issues/9087#issuecomment-374306179
@cjolivier01 Please add the label Question. Thanks!
--
haojin2 commented on issue #10078: [MXNET-92] Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#issuecomment-374306822
This PR should be good for merge, @cjolivier01 @piiswrong @anirudh2290
@reminisce @rahul003, would you please take anot
cjolivier01 commented on issue #9087: MXNET 1.0.0 - marginal performance
improvement Titan V (Volta) with half precision cuda 9.0 + cudnn 7.0.5
URL:
https://github.com/apache/incubator-mxnet/issues/9087#issuecomment-374307120
just log on as me lol
On Mon, Mar 19, 2018 at 10:54 AM, R
pokachopotun commented on issue #10128: Shared library dependent on mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/10128#issuecomment-374313941
I hope this would be enough.
//CMakeLists.txt
project(test)
if(COMMAND cmake_policy)
cmake_policy(SET CMP0003 NEW)
cjolivier01 closed issue #8222: Different convolution result between MXNet and
Tensorflow?
URL: https://github.com/apache/incubator-mxnet/issues/8222
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cjolivier01 commented on issue #8222: Different convolution result between
MXNet and Tensorflow?
URL:
https://github.com/apache/incubator-mxnet/issues/8222#issuecomment-374315538
Is this resolved? Closing now, please reopen if needed.
-
cjolivier01 commented on issue #7996: Question about Float16
URL:
https://github.com/apache/incubator-mxnet/issues/7996#issuecomment-374316078
Is this question resolved?
Questions are answered more quickly on https://discuss.mxnet.io/
Closing now, please reopen if necessary.
ThomasDelteil commented on issue #10042: [MXNET-86] Gluon dataloader crash on
speech recognition training
URL:
https://github.com/apache/incubator-mxnet/issues/10042#issuecomment-374316037
When using num_workers > 0 I get after a few hundreds/thousands of batches
(the higher the number of
cjolivier01 closed issue #7996: Question about Float16
URL: https://github.com/apache/incubator-mxnet/issues/7996
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ThomasDelteil commented on issue #10042: [MXNET-86] Gluon dataloader crash on
speech recognition training
URL:
https://github.com/apache/incubator-mxnet/issues/10042#issuecomment-374316037
When using num_workers > 0 I get after a few hundreds/thousands of batches
(the higher the number of
eric-haibin-lin commented on a change in pull request #10150: [WIP] [DO NOT
MERGE] Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175536238
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
##
eric-haibin-lin commented on a change in pull request #10150: [WIP] [DO NOT
MERGE] Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175535765
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
##
cjolivier01 closed issue #7858: Initial parameter in HybridBlock.
URL: https://github.com/apache/incubator-mxnet/issues/7858
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eric-haibin-lin commented on a change in pull request #10150: [WIP] [DO NOT
MERGE] Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175537436
##
File path: src/operator/tensor/elemwise_binary_broadcast_op_basic
eric-haibin-lin commented on a change in pull request #10150: [WIP] [DO NOT
MERGE] Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175539569
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
##
cjolivier01 commented on issue #7858: Initial parameter in HybridBlock.
URL:
https://github.com/apache/incubator-mxnet/issues/7858#issuecomment-374316814
Pending response from asker for some time. Assuming this issue can be
closed.
Questions are answered faster on: https://discuss.mxne
eric-haibin-lin commented on a change in pull request #10150: [WIP] [DO NOT
MERGE] Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175539266
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
##
cjolivier01 commented on issue #6785: Error importing mxnet in python,
installed using pip
URL:
https://github.com/apache/incubator-mxnet/issues/6785#issuecomment-374317111
This issue looks to be resolved. Please reopen if necessary.
--
reminisce commented on issue #10158: Assertion fail when creating very large
matrix
URL:
https://github.com/apache/incubator-mxnet/issues/10158#issuecomment-374317265
There is a plan of supporting `int64` as the type of tensor dimension sizes.
-
cjolivier01 commented on issue #9209: Speed between Ndarry and Numpy
URL:
https://github.com/apache/incubator-mxnet/issues/9209#issuecomment-374318521
Please don't time the 'asnumpy()' calls, since this is a final conversion
which has a copy, and would be in addition to the "interesting" c
cjolivier01 commented on issue #9209: Speed between Ndarry and Numpy
URL:
https://github.com/apache/incubator-mxnet/issues/9209#issuecomment-374318521
Please d9on't time the 'asnumpy()' calls, since this is a final conversion
which has a copy, and would be in addition to the "interesting"
cjolivier01 commented on issue #9115: Feature request for In-Place Activated
BatchNorm
URL:
https://github.com/apache/incubator-mxnet/issues/9115#issuecomment-374319247
Seems a reasonable request since activation almost always occurs after BN
--
Jerryzcn commented on issue #10042: [MXNET-86] Gluon dataloader crash on speech
recognition training
URL:
https://github.com/apache/incubator-mxnet/issues/10042#issuecomment-374319694
@ThomasDelteil can you try build from source using master?
https://github.com/apache/incubator-mxnet/pul
Jerryzcn commented on issue #10042: [MXNET-86] Gluon dataloader crash on speech
recognition training
URL:
https://github.com/apache/incubator-mxnet/issues/10042#issuecomment-374319694
@ThomasDelteil can you try build from source using master?
https://github.com/apache/incubator-mxnet/pul
cjolivier01 commented on issue #9115: Feature request for In-Place Activated
BatchNorm
URL:
https://github.com/apache/incubator-mxnet/issues/9115#issuecomment-374319835
Added JIRA: https://issues.apache.org/jira/browse/MXNET-113
eric-haibin-lin commented on issue #10154: Symbol API's Concat operator
inconsistent with NDArray API's Concat operator
URL:
https://github.com/apache/incubator-mxnet/issues/10154#issuecomment-374319967
If you check the your inputs for symbols, they're 3-D with dim0 = 1:
```
[
[[[
cjolivier01 commented on issue #9115: Feature request for In-Place Activated
BatchNorm
URL:
https://github.com/apache/incubator-mxnet/issues/9115#issuecomment-374321701
Closing as it's now tracked by a JIRA
This is an automa
cjolivier01 closed issue #9115: Feature request for In-Place Activated BatchNorm
URL: https://github.com/apache/incubator-mxnet/issues/9115
This is an automated message from the Apache Git Service.
To respond to the message,
cjolivier01 commented on issue #9115: Feature request for In-Place Activated
BatchNorm
URL:
https://github.com/apache/incubator-mxnet/issues/9115#issuecomment-374321701
CLosing as it's now tracked by a JIRA
This is an automa
ThomasDelteil commented on issue #10042: [MXNET-86] Gluon dataloader crash on
speech recognition training
URL:
https://github.com/apache/incubator-mxnet/issues/10042#issuecomment-374324498
I am trying now, it did still happen though with`mxnet-cu90==1.2.0b20180315`
---
ThomasDelteil commented on issue #10042: [MXNET-86] Gluon dataloader crash on
speech recognition training
URL:
https://github.com/apache/incubator-mxnet/issues/10042#issuecomment-374359896
The segfault does not seem to happen with latest master, however 1.1.2 does
seem to be MUCH slower t
ThomasDelteil commented on issue #10042: [MXNET-86] Gluon dataloader crash on
speech recognition training
URL:
https://github.com/apache/incubator-mxnet/issues/10042#issuecomment-374359896
The segfault does not seem to happen with latest master, however latest
master does seem to be MUCH
cjolivier01 commented on a change in pull request #9688: [MXNET-108] Adding
BilinearResize2D and AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r175573092
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File path: src/operator/adaptive_avg_pooling.cc
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@@ -0,0 +1,222
cjolivier01 commented on a change in pull request #9688: [MXNET-108] Adding
BilinearResize2D and AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r175572140
##
File path: src/operator/adaptive_avg_pooling.cc
##
@@ -0,0 +1,222
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