indhub commented on a change in pull request #8939: Minor changes to Caffe
Translator
URL: https://github.com/apache/incubator-mxnet/pull/8939#discussion_r155448170
##
File path:
tools/caffe_translator/src/main/java/io/mxnet/caffetranslator/Converter.java
##
@@ -157,19
solin319 opened a new issue #8979: Question about 2bit gradient compression
URL: https://github.com/apache/incubator-mxnet/issues/8979
Why pull doesn't use 2bit quantize before response in kvstore_dist_server?
Does it means push gradient with 2bit compression and pull gradient with on
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349886727
Yes it?s in my fork. The code required is still in PR on dmlc-core, so it?s
not going to build
KellenSunderland commented on issue #8972: Profiling enhancements, python API,
vtune and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349883989
Just a quick note (Chris you probably already realize this, but others may
also be
yajiedesign commented on issue #8951: Not all latest version has prebuild
binary for Windows on PyPI
URL:
https://github.com/apache/incubator-mxnet/issues/8951#issuecomment-349883736
windows automatic release build is work in progress.It might take a few more
days..
yajiedesign commented on issue #8951: Not all latest version has prebuild
binary for Windows on PyPI
URL:
https://github.com/apache/incubator-mxnet/issues/8951#issuecomment-349883736
automatic release build is work in progress.It might take a few more days..
indhub commented on a change in pull request #8939: Minor changes to Caffe
Translator
URL: https://github.com/apache/incubator-mxnet/pull/8939#discussion_r155445304
##
File path:
tools/caffe_translator/src/main/java/io/mxnet/caffetranslator/Optimizer.java
##
@@ -0,0
indhub commented on a change in pull request #8939: Minor changes to Caffe
Translator
URL: https://github.com/apache/incubator-mxnet/pull/8939#discussion_r155445221
##
File path:
tools/caffe_translator/src/main/java/io/mxnet/caffetranslator/Converter.java
##
@@ -157,19
KellenSunderland closed pull request #8973: Multithread windows gpu builds
(don't merge, testing CI).
URL: https://github.com/apache/incubator-mxnet/pull/8973
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
KellenSunderland commented on a change in pull request #8763: [WIP] Add text
apis
URL: https://github.com/apache/incubator-mxnet/pull/8763#discussion_r155442974
##
File path: tests/python/unittest/test_text.py
##
@@ -0,0 +1,104 @@
+# Licensed to the Apache Software
KellenSunderland commented on a change in pull request #8763: [WIP] Add text
apis
URL: https://github.com/apache/incubator-mxnet/pull/8763#discussion_r155444084
##
File path: tests/python/unittest/test_text.py
##
@@ -0,0 +1,104 @@
+# Licensed to the Apache Software
Jinnaouc commented on issue #2234: gpu not enabled error
URL:
https://github.com/apache/incubator-mxnet/issues/2234#issuecomment-349881887
Have you solved this problem? If you have solved this problem, can you share
the solution with me?
dwSun commented on a change in pull request #8894: Mobilenet
URL: https://github.com/apache/incubator-mxnet/pull/8894#discussion_r155442515
##
File path: example/image-classification/symbols/mobilenet.py
##
@@ -14,48 +14,129 @@
# KIND, either express or implied. See the
jwfromm opened a new issue #8978: Very Low Accuracy When Using Pretrained Model
URL: https://github.com/apache/incubator-mxnet/issues/8978
## Description
Pretrained models dont seem to be working well with gluon, specifically
datasets build with Dataloader and ImageRecords or
cjolivier01 commented on issue #8388: Exit race condition on library handle
usage
URL:
https://github.com/apache/incubator-mxnet/issues/8388#issuecomment-349867455
Please reopen if necessary
This is an automated message
cjolivier01 closed issue #8388: Exit race condition on library handle usage
URL: https://github.com/apache/incubator-mxnet/issues/8388
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cjolivier01 commented on issue #8668: Precision error setting NDArray from
np.float32 scalar
URL:
https://github.com/apache/incubator-mxnet/issues/8668#issuecomment-349867332
Resolved, please reopen if necessary
This is an
cjolivier01 closed issue #8668: Precision error setting NDArray from np.float32
scalar
URL: https://github.com/apache/incubator-mxnet/issues/8668
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caiqi opened a new issue #8977: v1.0 with NCCL
URL: https://github.com/apache/incubator-mxnet/issues/8977
When using the package from pip with NCCL, it throws the error:
mxnet.base.MXNetError: [12:55:01] src/kvstore/kvstore.cc:66: compile with
USE_NCCL=1 to use nccl
Is there
traveller59 closed issue #8924: mxnet 0.12.1 prebuilt in windows doesn't
include cudnn
URL: https://github.com/apache/incubator-mxnet/issues/8924
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traveller59 commented on issue #8924: mxnet 0.12.1 prebuilt in windows doesn't
include cudnn
URL:
https://github.com/apache/incubator-mxnet/issues/8924#issuecomment-349862584
Thanks, now mxnet-cu80 has no problem.
This is
popfido opened a new issue #8976: static TLS errors from jemalloc 5 built on
CentOS 7
URL: https://github.com/apache/incubator-mxnet/issues/8976
## Description
when enable USE_JEMALLOC with jemalloc 5.0.0(same for 5.0.1) to built MXNet
from source on CentOS 7 with devtoolset-3, the
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_r155424360
##
File path: src/storage/storage.cc
##
@@ -149,6 +155,9 @@
jeremiedb commented on issue #8974: MXNET compatibility with MKL libraries
bundled in Microsoft R Open
URL:
https://github.com/apache/incubator-mxnet/issues/8974#issuecomment-349852802
I cannot comment for using the core MKL library, but to use the MKL2017 and
MKL2017 Experimental you
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_r155408755
##
File path: src/engine/profiler.h
##
@@ -94,81 +254,816 @@
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349850858
Also note that now that we use Intel's OpenMP, we get lots of interesting
multi-threading info
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349850858
Also note that now that we use Intel's OpenMP, we get lots of interesting
multi-threading info
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349850579
Another frame example. Frames can have an ID associated with them (ie frame
number, batch
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349850579
Another frame example
jeremiedb commented on issue #7524: Is there a tutorial of using mxnet R LSTM
for time series forecasting?
URL:
https://github.com/apache/incubator-mxnet/issues/7524#issuecomment-349850375
As a starting point you can take a look at this rough demo for an LSTM on a
sin waves:
kitstar opened a new pull request #8975: Correct the alexnet url.
URL: https://github.com/apache/incubator-mxnet/pull/8975
## Description ##
Correct the alexnet url.
This is an automated message from the Apache Git
lilhope closed issue #8965: GPU Memory Usage keep increase (Not in train or
predict)
URL: https://github.com/apache/incubator-mxnet/issues/8965
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zhenglaizhang commented on issue #8151: Amalgamation for android arm64 was
built successfully but failed to run in device
URL:
https://github.com/apache/incubator-mxnet/issues/8151#issuecomment-349833607
Close as the issue was resolved, thanks all for the help!
zhenglaizhang closed issue #8151: Amalgamation for android arm64 was built
successfully but failed to run in device
URL: https://github.com/apache/incubator-mxnet/issues/8151
This is an automated message from the Apache
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_r155409358
##
File path: src/storage/storage_profiler.h
##
@@ -0,0
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349832788
Here you see a frame rate at the bottom... Also not the "Grouping" drop-down
at the top, which
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349832788
Here you see a frame rate at the bottom...
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349832788
Here you see a frame rate at the bottom...
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_r155409751
##
File path: python/mxnet/profiler.py
##
@@ -56,3 +69,237 @@
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_r155409358
##
File path: src/storage/storage_profiler.h
##
@@ -0,0
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_r155409145
##
File path: src/storage/storage.cc
##
@@ -149,6 +155,9 @@
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_r155408906
##
File path: src/ndarray/ndarray_function.cc
##
@@ -26,24
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_r155408755
##
File path: src/engine/profiler.h
##
@@ -94,81 +254,816 @@
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_r155408552
##
File path: python/mxnet/profiler.py
##
@@ -35,10 +35,23 @@
piiswrong 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_r155401286
##
File path: python/mxnet/profiler.py
##
@@ -56,3 +69,237 @@
piiswrong 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_r155401074
##
File path: src/storage/storage_profiler.h
##
@@ -0,0 +1,113
szha commented on issue #7774: 3d convolution gives zero output
URL:
https://github.com/apache/incubator-mxnet/issues/7774#issuecomment-349820253
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 issue. Thanks!
szha closed issue #7774: 3d convolution gives zero output
URL: https://github.com/apache/incubator-mxnet/issues/7774
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piiswrong 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_r155400997
##
File path: src/storage/storage.cc
##
@@ -149,6 +155,9 @@
piiswrong 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_r155400761
##
File path: src/ndarray/ndarray_function.cc
##
@@ -26,24
piiswrong 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_r155400486
##
File path: src/engine/profiler.h
##
@@ -94,81 +254,816 @@
piiswrong 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_r155399240
##
File path: python/mxnet/profiler.py
##
@@ -35,10 +35,23 @@
yajiedesign commented on a change in pull request #8967: add shared storage in
windows
URL: https://github.com/apache/incubator-mxnet/pull/8967#discussion_r155397778
##
File path: python/mxnet/gluon/data/dataloader.py
##
@@ -52,7 +52,7 @@ class ConnectionWrapper(object):
yajiedesign commented on a change in pull request #8967: add shared storage in
windows
URL: https://github.com/apache/incubator-mxnet/pull/8967#discussion_r155397217
##
File path: src/storage/cpu_shared_storage_manager.h
##
@@ -91,11 +95,18 @@ class
zhreshold commented on issue #8951: Not all latest version has prebuild binary
for Windows on PyPI
URL:
https://github.com/apache/incubator-mxnet/issues/8951#issuecomment-349810417
same in #8962 , cc @yajiedesign
We are still using manual script to build the coda versions on windows,
zhreshold commented on a change in pull request #8894: Mobilenet
URL: https://github.com/apache/incubator-mxnet/pull/8894#discussion_r155392136
##
File path: example/image-classification/symbols/mobilenet.py
##
@@ -14,48 +14,129 @@
# KIND, either express or implied. See
mjmg commented on issue #8936: Issue on MXNet R installation with GPU support
on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/8936#issuecomment-349793144
It seems most of your problems are due to environment variables and their
order.
Make sure Rtools is the
mjmg opened a new issue #8974: MXNET compatibility with MKL libraries bundled
in Microsoft R Open
URL: https://github.com/apache/incubator-mxnet/issues/8974
## Description
Microsoft R Open (and some very determined people) build their R
installations with Intel MKL libraries linked in.
cjolivier01 commented on issue #8949: New layer: split_like.
URL: https://github.com/apache/incubator-mxnet/pull/8949#issuecomment-349781345
the PR isn;t picking up the replay. Please try an empty commit:
git commit -m"Trigger build" --allow-empty
eric-haibin-lin commented on issue #8940: Embedding layer - add default
behavior for out of bound index to documentation
URL:
https://github.com/apache/incubator-mxnet/issues/8940#issuecomment-349779114
Yes the sparse implementation will throw an exception instead.
Is anyone else
cjolivier01 commented on issue #8949: New layer: split_like.
URL: https://github.com/apache/incubator-mxnet/pull/8949#issuecomment-349778811
We are changing CI, but it's still on the old one atm, which this error
happens on periodically.
I will restart the build.
cjolivier01 commented on issue #8949: New layer: split_like.
URL: https://github.com/apache/incubator-mxnet/pull/8949#issuecomment-349778811
We are changing CI, but it's still ont he old one atm, which this error
happens on periodically.
I will restart the build.
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_r155362683
##
File path: src/engine/thread_pool.h
##
@@ -39,40 +40,17 @@
eric-haibin-lin commented on a change in pull request #8767: Factorization
machine example & sparse example folder re-org
URL: https://github.com/apache/incubator-mxnet/pull/8767#discussion_r155362311
##
File path: example/sparse/matrix_factorization/data.py
##
@@ -18,38
eric-haibin-lin commented on a change in pull request #8767: Factorization
machine example & sparse example folder re-org
URL: https://github.com/apache/incubator-mxnet/pull/8767#discussion_r155362275
##
File path: example/sparse/factorization_machine/train.py
##
@@ -0,0
bejjani commented on issue #8940: Embedding layer - add default behavior for
out of bound index to documentation
URL:
https://github.com/apache/incubator-mxnet/issues/8940#issuecomment-349775000
You're right, doc for ndarray.Embedding does mention however "By default, if
any index
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-349765021
Dependency: https://github.com/dmlc/dmlc-core/pull/344
KellenSunderland opened a new pull request #8973: Multithread windows gpu
builds (don't merge, testing CI).
URL: https://github.com/apache/incubator-mxnet/pull/8973
## Description ##
Attempting to enable multithreaded windows gpu builds.
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_r155349644
##
File path: src/engine/perf.h
##
@@ -19,13 +19,13 @@
/*!
cjolivier01 opened a new pull request #8972: Profiling enhancements, python
API, vtune and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972
@piiswrong
## Description ##
1. Continuous, asynchronous profile dumping
2. VTune objects:
Hanbo-Sun commented on issue #8358: 'module' object has no attribute 'nd'
URL:
https://github.com/apache/incubator-mxnet/issues/8358#issuecomment-349759005
I met the same issue.
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gigasquid opened a new issue #8971: Clojure Library for mxnet
URL: https://github.com/apache/incubator-mxnet/issues/8971
Is there any interest for a Clojure library?
I'm interested in helping out. Any helpful pointers, (especially from the
Scala side of things), in getting started
marcoabreu opened a new pull request #8970: [Do not merge] Trigger build
URL: https://github.com/apache/incubator-mxnet/pull/8970
test PR
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cjolivier01 commented on issue #8968: 1.0.0 crash with Google perf tools
URL:
https://github.com/apache/incubator-mxnet/issues/8968#issuecomment-349750014
It may be that it's not gperftools that's the problem, but that there's a
bug and the normal malloc library doesn't make any issue of
eric-haibin-lin commented on issue #8968: 1.0.0 crash with Google perf tools
URL:
https://github.com/apache/incubator-mxnet/issues/8968#issuecomment-349744400
@bhavinthaker @mbaijal should we also cover this in CI build tests?
piiswrong commented on a change in pull request #8967: add shared storage in
windows
URL: https://github.com/apache/incubator-mxnet/pull/8967#discussion_r155325495
##
File path: src/storage/cpu_shared_storage_manager.h
##
@@ -91,11 +95,18 @@ class CPUSharedStorageManager
piiswrong commented on a change in pull request #8967: add shared storage in
windows
URL: https://github.com/apache/incubator-mxnet/pull/8967#discussion_r155324651
##
File path: src/storage/cpu_shared_storage_manager.h
##
@@ -91,11 +95,18 @@ class CPUSharedStorageManager
piiswrong commented on a change in pull request #8967: add shared storage in
windows
URL: https://github.com/apache/incubator-mxnet/pull/8967#discussion_r155324341
##
File path: python/mxnet/gluon/data/dataloader.py
##
@@ -52,7 +52,7 @@ class ConnectionWrapper(object):
cjolivier01 commented on issue #8968: 1.0.0 crash with Google perf tools
URL:
https://github.com/apache/incubator-mxnet/issues/8968#issuecomment-349734654
@eric-haibin-lin
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eric-haibin-lin commented on issue #8968: 1.0.0 crash with Google perf tools
URL:
https://github.com/apache/incubator-mxnet/issues/8968#issuecomment-349732493
@cjolivier01
This is an automated message from the Apache Git
This is an automated email from the ASF dual-hosted git repository.
pono 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 7484437 [Do not merge] Move to new CI
pono closed pull request #8960: [Do not merge] Move to new CI
URL: https://github.com/apache/incubator-mxnet/pull/8960
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
juliensimon opened a new issue #8969: A couple of issues in benchmark_score.py
URL: https://github.com/apache/incubator-mxnet/issues/8969
Here are a couple of issues in
incubator-mxnet/example/image-classification/benchmark_score.py.
Both prevent the script from running.
-->
juliensimon opened a new issue #8968: 1.0.0 crash with Google perf tools
URL: https://github.com/apache/incubator-mxnet/issues/8968
Hi,
1.0.0 dumps core at loading time when built with Google perf tools.
I'm using a freshly booted Deep Learning AMI, Ubuntu Linux - 2.4_Oct2017
VGalata commented on issue #7375: Can I set instance weight when training?
URL:
https://github.com/apache/incubator-mxnet/issues/7375#issuecomment-349702652
@regzhuce : Probably this could help you:
I finally could figure out how to use class weights for a (binary)
classification
gokererdogan commented on issue #7745: Bug in DetRandomCropAug
URL:
https://github.com/apache/incubator-mxnet/issues/7745#issuecomment-349701430
I never got a response about this issue but apparently this was fixed in
this PR https://github.com/apache/incubator-mxnet/pull/7843
It
This is an automated email from the ASF dual-hosted git repository.
cjolivier01 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 43d534d Small first iteration
cjolivier01 closed pull request #8803: Small first iteration for profiler: use
nonblocking queue
URL: https://github.com/apache/incubator-mxnet/pull/8803
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
fedorzh commented on issue #8955: Can't pickle MXNet Modules
URL:
https://github.com/apache/incubator-mxnet/issues/8955#issuecomment-349700158
If you take the old interface with mxnet.model, it can be pickled.
Training of the model is actually not the longest part of my pipeline
fedorzh commented on issue #8955: Can't pickle MXNet Modules
URL:
https://github.com/apache/incubator-mxnet/issues/8955#issuecomment-349700158
If you take the old interface with mxnet.model, it can be pickled.
Training of the model is actually not the longest part of my pipeline
checkraise commented on issue #6023: pip install error: No matching
distribution found for mxnet-cu80
URL:
https://github.com/apache/incubator-mxnet/issues/6023#issuecomment-349666764
Experiencing the same issue. My system info:
```
--Python Info--
Version
checkraise commented on issue #6023: pip install error: No matching
distribution found for mxnet-cu80
URL:
https://github.com/apache/incubator-mxnet/issues/6023#issuecomment-349666764
Experiencing the same issue. My system info:
```
--Python Info--
Version
yajiedesign opened a new pull request #8967: add shared storage in windows
URL: https://github.com/apache/incubator-mxnet/pull/8967
## Description ##
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
- [ ] Changes are complete (i.e. I finished
whatever1983 commented on issue #8927: Windows, R, GPU build is only 0.10.1,
which is too far behind github 0.12.1 and soon 1.0
URL:
https://github.com/apache/incubator-mxnet/issues/8927#issuecomment-349619262
Just checked the MXNET 1.0 R installation document, installation commands
have
lilhope closed issue #8882: Question about the forward function of
multibox-target.cu
URL: https://github.com/apache/incubator-mxnet/issues/8882
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aseyboldt commented on issue #8219: Broadcasting ops are slow
URL:
https://github.com/apache/incubator-mxnet/issues/8219#issuecomment-349621811
@cjolivier01 Thanks for looking into this. ?
I haven't updated to mxnet 1.0 yet, so it is possible that this is fixed now
(I only have
whatever1983 commented on issue #8927: Windows, R, GPU build is only 0.10.1,
which is too far behind github 0.12.1 and soon 1.0
URL:
https://github.com/apache/incubator-mxnet/issues/8927#issuecomment-349619262
Just checked the MXNET 1.0 R installation document, installation commands
have
liumilan commented on issue #8500: program crash when run sparse model predict
URL:
https://github.com/apache/incubator-mxnet/issues/8500#issuecomment-349613974
If I skip the forward/backward/update/update_metric,the cost time is reduced
from 1303.680s to 276.323s.It did cost much time
lilhope commented on issue #8965: GPU Memory Usage keep increase (Not in train
or predict)
URL:
https://github.com/apache/incubator-mxnet/issues/8965#issuecomment-349606750
@edmBernard Thanks? I?ll take a try.
This is an
adrianloy commented on issue #8959: Loss becomes nan when using correlation
loss with MakeLoss on 2 images.
URL:
https://github.com/apache/incubator-mxnet/issues/8959#issuecomment-349603363
@piiswrong the cross correlation should never be NaN, right? It should
always be between -1 and 1
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