VGalata commented on issue #8792: Different training performance between mxnet
v. 0.11.0 and v. 0.12.1
URL:
https://github.com/apache/incubator-mxnet/issues/8792#issuecomment-346757566
Dear @jeremiedb,
Thank you for your fast reply!
I downloaded the `master` branch (`v0.9.3a-
szha closed pull request #8788: fix build
URL: https://github.com/apache/incubator-mxnet/pull/8788
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zhasheng 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 3c32f76 fix build (#8788)
3c32f76 is
tanhm07 commented on issue #8777: Error: package or namespace load failed for
?mxnet?:
URL:
https://github.com/apache/incubator-mxnet/issues/8777#issuecomment-346750754
I downgraded to CUDA 8 with CUDNN v5.1 and it works now! Thanks very much
for your time and help.
-
cjolivier01 closed pull request #8774: remove meaningless type qualifier
URL: https://github.com/apache/incubator-mxnet/pull/8774
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cjolivier01 pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 5088477 remove meaningless type q
KellenSunderland opened a new issue #8805: Release Branch 1.0 crashing for
several tests in CUDA 7.5 docker containers.
URL: https://github.com/apache/incubator-mxnet/issues/8805
## Description
The release v1.0 branch is crashing for several tests with the same
stacktrace.
Branch: h
wkcn closed issue #8569: The conflict between MXNet and OpenCV
URL: https://github.com/apache/incubator-mxnet/issues/8569
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eric-haibin-lin commented on issue #8500: program crash when run sparse model
predict
URL:
https://github.com/apache/incubator-mxnet/issues/8500#issuecomment-346721500
There's a 2-second gap between batches. What metric are you using? Did you
verify how much time computing the metric take
ZiyueHuang commented on issue #8774: remove meaningless type qualifier
URL: https://github.com/apache/incubator-mxnet/pull/8774#issuecomment-346719663
CI has passed. @szha @cjolivier01
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jeremiedb commented on issue #8792: Different training performance between
mxnet v. 0.11.0 and v. 0.12.1
URL:
https://github.com/apache/incubator-mxnet/issues/8792#issuecomment-346719088
There's been a bug introduced for a short time in master after `mx.runif`
and `mx.rnorm` used by the i
lx75249 closed pull request #8796: Avoid odr-using static member that will
cause undefined references in?
URL: https://github.com/apache/incubator-mxnet/pull/8796
This is a PR merged from a forked repository.
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szha commented on issue #8784: Fix warning on meaningless return type qualifier
URL: https://github.com/apache/incubator-mxnet/pull/8784#issuecomment-346713299
@larroy let's use Ziyue's #8774 for patching master.
This is an au
szha commented on issue #8796: Avoid odr-using static member that will cause
undefined references in?
URL: https://github.com/apache/incubator-mxnet/pull/8796#issuecomment-346712598
I have a fix for this problem at #8788
Thi
szha closed issue #6803: There are some problems running MNIST on the CPU
cluster
URL: https://github.com/apache/incubator-mxnet/issues/6803
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szha closed pull request #7423: Do not use LG in case of DMLC_GLOG_DEFINED
enabled
URL: https://github.com/apache/incubator-mxnet/pull/7423
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szha commented on issue #6803: There are some problems running MNIST on the CPU
cluster
URL:
https://github.com/apache/incubator-mxnet/issues/6803#issuecomment-346712430
This issue is closed due to lack of activity in the last 90 days. Feel free
to ping me to reopen if this is still an ac
szha commented on issue #7423: Do not use LG in case of DMLC_GLOG_DEFINED
enabled
URL: https://github.com/apache/incubator-mxnet/pull/7423#issuecomment-346712431
This issue is closed due to lack of activity in the last 90 days. Feel free
to ping me to reopen if this is still an active issu
hapownli closed issue #8756: As there are many JAVA programer, and JDK9 has HAD
JAVA REPL JSHELL like PYTHON OR SCALA shell, it will be easy to use JAVA
training model. , When will MXNET support JAVA programing language?
URL: https://github.com/apache/incubator-mxnet/issues/8756
--
lucidfrontier45 commented on issue #8800: Is PyPI wheel linked to cudnn?
URL:
https://github.com/apache/incubator-mxnet/issues/8800#issuecomment-346710579
I got it. Thank you.
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lucidfrontier45 closed issue #8800: Is PyPI wheel linked to cudnn?
URL: https://github.com/apache/incubator-mxnet/issues/8800
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zhasheng pushed a commit to branch v1.0.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.0.0 by this push:
new 7b40c03 Fix weird hang bug due to cu
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zhasheng 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 0bf76a8 Fix weird hang bug due to cu
szha opened a new pull request #8804: Fix weird hang bug due to cuInit
sometimes calls fork
URL: https://github.com/apache/incubator-mxnet/pull/8804
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code style chec
szha closed pull request #8804: Fix weird hang bug due to cuInit sometimes
calls fork
URL: https://github.com/apache/incubator-mxnet/pull/8804
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jxie 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 3953e79 Fix weird hang bug due to cuInit
piiswrong closed pull request #8790: Fix weird hang bug due to cuInit sometimes
calls fork
URL: https://github.com/apache/incubator-mxnet/pull/8790
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szha opened a new pull request #8788: [WIP] fix build
URL: https://github.com/apache/incubator-mxnet/pull/8788
## Description ##
Addresses #8786 with the same fix as #8692
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larroy commented on issue #8793: Fix link error on DEBUG=1. Need
mshadow::gpu::kDevMask def in TU
URL: https://github.com/apache/incubator-mxnet/pull/8793#issuecomment-346689786
@szha yep, seems your fix is better, and they don't want any more changes
for v1.0.0, so closing this.
larroy closed pull request #8793: Fix link error on DEBUG=1. Need
mshadow::gpu::kDevMask def in TU
URL: https://github.com/apache/incubator-mxnet/pull/8793
This is a PR merged from a forked repository.
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the sake of prove
szha commented on issue #8793: Fix link error on DEBUG=1. Need
mshadow::gpu::kDevMask def in TU
URL: https://github.com/apache/incubator-mxnet/pull/8793#issuecomment-346686152
You can use the fix I had in #8788 instead, which is the same fix as in
#8692
--
larroy commented on issue #8793: Fix link error on DEBUG=1. Need
mshadow::gpu::kDevMask def in TU
URL: https://github.com/apache/incubator-mxnet/pull/8793#issuecomment-346685420
I don't think it's the right place to do it, but right now it fixes the
build for the release, we should do it i
larroy commented on issue #8790: Fix weird hang bug due to cuInit sometimes
calls fork
URL: https://github.com/apache/incubator-mxnet/pull/8790#issuecomment-346683066
? as a hotfix I think it's ok but I think we should refactor this code, I
don't like what we are doing at pthread_atfork,
szha commented on issue #8800: Is PyPI wheel linked to cudnn?
URL:
https://github.com/apache/incubator-mxnet/issues/8800#issuecomment-346680810
yes. libcudnn is statically linked.
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cjolivier01 commented on a change in pull request #8803: Small first iteration
for profiler: use nonblocking queue
URL: https://github.com/apache/incubator-mxnet/pull/8803#discussion_r152858233
##
File path: src/engine/profiler.h
##
@@ -65,11 +66,24 @@ struct OprExecStat {
bhavinthaker commented on issue #8790: Fix weird hang bug due to cuInit
sometimes calls fork
URL: https://github.com/apache/incubator-mxnet/pull/8790#issuecomment-346679938
Thanks ptrendx@ for the quick review.
This is an aut
cjolivier01 commented on a change in pull request #8803: Small first iteration
for profiler: use nonblocking queue
URL: https://github.com/apache/incubator-mxnet/pull/8803#discussion_r152858169
##
File path: CMakeLists.txt
##
@@ -38,7 +38,7 @@ mxnet_option(USE_MKL_EXPERIME
cjolivier01 opened a new pull request #8803: Small first iteration for
profiler: use nonblocking queue
URL: https://github.com/apache/incubator-mxnet/pull/8803
## Description ##
Use nonblocking queue for profiler
Next up: buffer server so allocation not done in-line
## Chec
ptrendx commented on issue #8790: Fix weird hang bug due to cuInit sometimes
calls fork
URL: https://github.com/apache/incubator-mxnet/pull/8790#issuecomment-346676190
I did not see such behavior before (cuinit calling fork), but the PR itself
seems fine and should not affect anything nega
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346672550
I am not one to pass judgement on anything python -- I believe that
everything should b
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346672168
Linux (Ubuntu 16.04 LTS - Gnome 3 flavor)
I meant more along the lines as to if thi
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671978
What's your OS? DGX I assume is a Linux image?
-
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671978
What's your OS?
This i
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671883
I don't see anything strange about the script -- like you said, just about
everything i
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671750
@cjolivier01 what do you think of script though?
Likewise :) (abroad in Germany)
-
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671698
ok :) Happy Thanksgiving! (If you're in the US)
---
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671639
maybe. CPU usage profiles look about the same for both...
-
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671615
I will contact them and have them look into it
--
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671587
Ok, then it appears that this might be nvidia docker image specific
-
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671211
2:
/usr/bin/python3.5 /home/coolivie/src/DeepLearning/python/file_2.py --gpus 2
--in
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671211
2:
(3): MaxPool2D(size=(2, 2), stride=(2, 2), padding=(0, 0), ceil_mode=False)
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671199
personal machine is built from master
---
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671164
DGX has a nvidia docker image.
Local machine is pip install of the cuda verison
--
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346671077
1:
/usr/bin/python3.5 /home/coolivie/src/DeepLearning/python/file_1.py --gpus 2
De
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346670844
I am using 2.7 here, let me try 3.5...
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346670934
are you using latest master, by the way? or a pip install?
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346670791
haha :) yeah, I didnt implement it there though.
That is odd, I ran mine on a DGX..
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346670648
terrible accuracy on the second one, though :)
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346670273
I have two GTX 1080's on my home machine here, and I get roughly the same
speed on two
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346670273
I have twp GTX 1080's on my home machine here, and I get roughly the same
speed on two
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346670273
I have twp GTX 1080's on my home machine here, and I get roughly the same
speed on two
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346669382
cool :)
This is an autom
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346669264
nvm, file naming, i get it..
--
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346669200
is file 3 also in the same directory?
---
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346668952
when running file 2, i get:
Connected to pydev debugger (build 172.4343.16)
[ERRO
cjolivier01 closed issue #8617: Failed to detect tcmalloc or jemalloc for
Fedora 26
URL: https://github.com/apache/incubator-mxnet/issues/8617
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cjolivier01 commented on issue #8617: Failed to detect tcmalloc or jemalloc for
Fedora 26
URL:
https://github.com/apache/incubator-mxnet/issues/8617#issuecomment-346664647
Please reopen if necessary, but I think we're just going to standardize on
cmake. Let me know if cmake doesn't find i
expnn opened a new issue #8617: Failed to detect tcmalloc or jemalloc for
Fedora 26
URL: https://github.com/apache/incubator-mxnet/issues/8617
The wildcard given by the current Makefile failed to detect the
gperftools/jemalloc malloc libraries.
Currently, it uses the following snippet
cjolivier01 closed issue #8617: Failed to detect tcmalloc or jemalloc for
Fedora 26
URL: https://github.com/apache/incubator-mxnet/issues/8617
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SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346660854
@cjolivier01 No worries. I appreciate your assistance. However, this
behavior could signa
aijanai commented on issue #8802: Predicting with batch size lower than the one
used for training gives error
URL:
https://github.com/apache/incubator-mxnet/issues/8802#issuecomment-346658576
#6752
This is an automated messa
aijanai commented on issue #8802: Predicting with batch size lower than the one
used for training gives error
URL:
https://github.com/apache/incubator-mxnet/issues/8802#issuecomment-346658576
#6752
This is an automated messa
aijanai closed issue #8802: Predicting with batch size lower than the one used
for training gives error
URL: https://github.com/apache/incubator-mxnet/issues/8802
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aijanai commented on issue #8802: Predicting with batch size lower than the one
used for training gives error
URL:
https://github.com/apache/incubator-mxnet/issues/8802#issuecomment-346657432
Ok, looks like it was dealt it
https://github.com/apache/incubator-mxnet/issues/6752: adding pad=
cjolivier01 commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346655435
I apologize, but I am not very good yet at reading large chunks of python
without a deb
aijanai opened a new issue #8802: Predicting with batch size lower than the one
used for training gives error
URL: https://github.com/apache/incubator-mxnet/issues/8802
## Description
I train with dataset size = 904 and batch size = 50.
If I try then to predict with the model with a t
LeonJWH opened a new issue #8801: Cannot find custom operator when visualizing
network.
URL: https://github.com/apache/incubator-mxnet/issues/8801
When I tried to visualize the mask rcnn network, I used the script below:
```
import mxnet as mx
sym = mx.sym.load('rcnn1-symbol.json')
lucidfrontier45 opened a new issue #8800: Is PyPI wheel linked to cudnn?
URL: https://github.com/apache/incubator-mxnet/issues/8800
## Description
mxnet-cu90 package in PyPI seems to not be compiled against CuDNN.
## Environment info (Required)
OS: Ubuntu 16.04
Python: 3.6.3
SumNeuron commented on issue #8794: GPU throws out of index error?
URL:
https://github.com/apache/incubator-mxnet/issues/8794#issuecomment-346627089
Is there way to set the global context?
or for mxnet to auto switch to the greater of two contexts automatically
(e.g. if I accidentally i
SumNeuron commented on issue #8794: GPU throws out of index error?
URL:
https://github.com/apache/incubator-mxnet/issues/8794#issuecomment-346626718
to clarify, *both* fixes are needed
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SumNeuron commented on issue #8794: GPU throws out of index error?
URL:
https://github.com/apache/incubator-mxnet/issues/8794#issuecomment-346626446
doing just that results in:
```
MXNetErrorTraceback (most recent call last)
in ()
5
ZiyueHuang commented on issue #8794: GPU throws out of index error?
URL:
https://github.com/apache/incubator-mxnet/issues/8794#issuecomment-346624746
Please try `data.as_in_context(ctx)`.
This is an automated message from the
SumNeuron commented on issue #8716: ImageDetIter uses type list as inside
making as_in_context break
URL:
https://github.com/apache/incubator-mxnet/issues/8716#issuecomment-346624735
@zhreshold is this intended behavior?
Th
SumNeuron commented on issue #8751: Distributed Training has inverse results
when imported (8 GPUS is slower than 1!)
URL:
https://github.com/apache/incubator-mxnet/issues/8751#issuecomment-346624513
@cjolivier01 any ideas?
SumNeuron commented on issue #8756: As there are many JAVA programer, and JDK9
has HAD JAVA REPL JSHELL like PYTHON OR SCALA shell, it will be easy to use
JAVA training model. , When will MXNET support JAVA programing language?
URL:
https://github.com/apache/incubator-mxnet/issues/8756#issueco
mseeger opened a new issue #8799: Dangling outputs and dtype != float32:
Gradient computation fails
URL: https://github.com/apache/incubator-mxnet/issues/8799
Hello,
please see the complete example below for full details.
The problem is that if in the course of a computation, cert
KangGrandesty opened a new pull request #8798: new operator
URL: https://github.com/apache/incubator-mxnet/pull/8798
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
- [ ] Chang
KangGrandesty closed pull request #8798: new operator
URL: https://github.com/apache/incubator-mxnet/pull/8798
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 provenance:
As this is a foreign pull request (fro
xinghedyc opened a new pull request #8797: fix errors for reinterpret_cast usage
URL: https://github.com/apache/incubator-mxnet/pull/8797
## Description ##
(Brief description on what this PR is about)
fix error for reinterpret_cast
## Checklist ##
### Essentials ###
- [ ] Pass
szha commented on issue #7557: Parsing Training accuracy, Training loss log
files to plot Training accuracy, Training loss curves
URL:
https://github.com/apache/incubator-mxnet/issues/7557#issuecomment-346605404
This issue is closed due to lack of activity in the last 90 days. Feel free
t
szha commented on issue #7591: Error:include/mxnet/./ndarray.h:109: Unknown
type enum 1794200432
URL:
https://github.com/apache/incubator-mxnet/issues/7591#issuecomment-346605408
This issue is closed due to lack of activity in the last 90 days. Feel free
to ping me to reopen if this is st
szha closed issue #7557: Parsing Training accuracy, Training loss log files to
plot Training accuracy, Training loss curves
URL: https://github.com/apache/incubator-mxnet/issues/7557
This is an automated message from the Apa
szha closed issue #7591: Error:include/mxnet/./ndarray.h:109: Unknown type enum
1794200432
URL: https://github.com/apache/incubator-mxnet/issues/7591
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beeva-enriqueotero commented on issue #6179: SoftmaxOutput - how to get
probabilities?
URL:
https://github.com/apache/incubator-mxnet/issues/6179#issuecomment-346604827
In order to apply typical crossentropy function as eval_metric you need to
access to these probabilities. Otherwise trai
lx75249 opened a new pull request #8796: Avoid odr-using static member that
will cause undefined references in?
URL: https://github.com/apache/incubator-mxnet/pull/8796
Directly passing `mshadow::gpu::kDevMask` to `CHECK_EQ` violates odr-use
rule of inplace initialized static data member,
xinghedyc opened a new issue #8795: can cpp-package use operators in contrib
directory?
URL: https://github.com/apache/incubator-mxnet/issues/8795
1. I found the generated op.h by OpWrapperGenerator.py dosen't include
contrib operators?
2. Is it possible to use c++ to write a predict co
cjolivier01 commented on issue #8737: Use RAII and fix Coverity resource leaks
#10371 and others
URL: https://github.com/apache/incubator-mxnet/pull/8737#issuecomment-346571223
Note that SimpleBind tends to be called once, so a shared pointer and its
atomic counter isnt going to affect p
SumNeuron opened a new issue #8794: GPU throws out of index error?
URL: https://github.com/apache/incubator-mxnet/issues/8794
## Description
(Brief description of the problem in no more than 2 sentences.)
I have two files:
- VAE.py which defines a variational auto encoder
- vae
cjolivier01 commented on issue #8777: Error: package or namespace load failed
for ?mxnet?:
URL:
https://github.com/apache/incubator-mxnet/issues/8777#issuecomment-346569879
Yes. I use twin 1080?s at home. As far as I know, 1080 and 1080ti have same
instruction set.
On Wed, Nov 22
larroy opened a new pull request #8793: Fix link error on DEBUG=1. Need
mshadow::gpu::kDevMask def in TU
URL: https://github.com/apache/incubator-mxnet/pull/8793
Quick fix for mshadow::gpu::kDevMask used in a translation unit (not a
header), which causes undefined symbol in debug mode.
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