szha commented on issue #8513: --start-group not supported for macOS
URL:
https://github.com/apache/incubator-mxnet/issues/8513#issuecomment-363070301
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For general "how-to"
ZiyueHuang commented on issue #9625: sparse regression operators
URL: https://github.com/apache/incubator-mxnet/pull/9625#issuecomment-363035472
Thank you @cjolivier01 , I am trying.
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yanhn commented on issue #9612: CUDNN_STATUS_SUCCESS (4 vs. 0) cuDNN:
CUDNN_STATUS_INTERNAL_ERROR on jetson TX2
URL:
https://github.com/apache/incubator-mxnet/issues/9612#issuecomment-363045667
Thanks @KellenSunderland.
Some said it may because out of memory
dimon777 commented on issue #9692: cifar10 training on P100 seems not converging
URL:
https://github.com/apache/incubator-mxnet/issues/9692#issuecomment-363107707
Thanks, that was it. After 9 epoch the accuracy reached 0.8
dimon777 closed issue #9692: cifar10 training on P100 seems not converging
URL: https://github.com/apache/incubator-mxnet/issues/9692
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dimon777 commented on issue #9692: cifar10 training on P100 seems not converging
URL:
https://github.com/apache/incubator-mxnet/issues/9692#issuecomment-363107707
Thanks, that was it. After 9 epoches the accuracy reached 0.8
ZiyueHuang opened a new pull request #9697: fix NAG if multi_precision = true
URL: https://github.com/apache/incubator-mxnet/pull/9697
## Description ##
NAG inherits SGD, but not override SGD's `update_multi_precision` which
calls `_update_impl` in SGD.
NAG should not inherit SGD
eric-haibin-lin commented on issue #9698: Fixed 4 broken links
URL: https://github.com/apache/incubator-mxnet/pull/9698#issuecomment-363264070
Can you also update the broken link in `docs/faq/multi_devices.md` for
ps-lite to be http://ps-lite.readthedocs.io/en/latest/
szha commented on issue #8552: Problem in mx.io.ImageRecordIter
URL:
https://github.com/apache/incubator-mxnet/issues/8552#issuecomment-363267754
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For general "how-to"
szha commented on issue #5475: Difference between ImageIter and ImageRecordIter
URL:
https://github.com/apache/incubator-mxnet/issues/5475#issuecomment-363267747
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For
szha commented on issue #8560: Upsampling: lack of arguments crashes the kernel
URL:
https://github.com/apache/incubator-mxnet/issues/8560#issuecomment-363267742
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For
thinksanky commented on a change in pull request #9698: Fixed 4 broken links
URL: https://github.com/apache/incubator-mxnet/pull/9698#discussion_r166151717
##
File path: docs/tutorials/index.md
##
@@ -174,7 +174,7 @@ The Gluon and Module tutorials are in Python, but you
reminisce opened a new pull request #9700: Squeeze op
URL: https://github.com/apache/incubator-mxnet/pull/9700
## Description ##
This PR implemented squeeze op in MXNet as numpy.squeeze. Requested by @szha
.
https://docs.scipy.org/doc/numpy/reference/generated/numpy.squeeze.html
zhanghang1989 commented on issue #1363: Error in FCN
URL:
https://github.com/apache/incubator-mxnet/issues/1363#issuecomment-363274148
Got the same error using Gluon, any updates?
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chaoyuaw commented on a change in pull request #9165: add embedding learning
example
URL: https://github.com/apache/incubator-mxnet/pull/9165#discussion_r166049971
##
File path: example/gluon/embedding_learning/model.py
##
@@ -0,0 +1,224 @@
+# Licensed to the Apache
thinksanky opened a new pull request #9698: Fixed 4 broken links
URL: https://github.com/apache/incubator-mxnet/pull/9698
## Description ##
* Fixed the remaining broken links reported on Feb 4th 2018
This is an automated
thinksanky commented on issue #9698: Fixed 4 broken links
URL: https://github.com/apache/incubator-mxnet/pull/9698#issuecomment-363192917
@eric-haibin-lin - please review and merge
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eric-haibin-lin commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166098419
##
File path: include/mxnet/op_attr_types.h
##
@@ -261,6
eric-haibin-lin commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166098311
##
File path: include/mxnet/c_api.h
##
@@ -1237,8 +1237,28
eric-haibin-lin commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166099294
##
File path: python/mxnet/contrib/quantization.py
##
@@
eric-haibin-lin commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166100616
##
File path: src/operator/quantization/quantization_utils.h
eric-haibin-lin commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166097177
##
File path: example/quantization/common
##
@@ -0,0 +1 @@
eric-haibin-lin commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166097853
##
File path: example/quantization/imagenet_gen_qsym.py
##
rahul003 commented on issue #9305: Fixing two symbol files for CNN
URL: https://github.com/apache/incubator-mxnet/pull/9305#issuecomment-363166976
@juliusshufan Yeah, please remove the vgg changes when you update the PR.
Thanks!
piiswrong commented on issue #9681: Better Exception Handling for Operators
URL: https://github.com/apache/incubator-mxnet/pull/9681#issuecomment-363190218
suppose and operator has three outputs x, y and z and it raises an exception.
then x.asnumpy() would raise an error.
Then
piiswrong commented on a change in pull request #9662: Gluon PReLU, ELU, SELU,
Swish
URL: https://github.com/apache/incubator-mxnet/pull/9662#discussion_r166084419
##
File path: python/mxnet/gluon/nn/activations.py
##
@@ -0,0 +1,215 @@
+# Licensed to the Apache Software
szha commented on a change in pull request #9662: Gluon PReLU, ELU, SELU, Swish
URL: https://github.com/apache/incubator-mxnet/pull/9662#discussion_r166087641
##
File path: src/operator/leaky_relu-inl.h
##
@@ -225,7 +242,11 @@ class LeakyReLUProp : public OperatorProperty
eric-haibin-lin commented on a change in pull request #9698: Fixed 4 broken
links
URL: https://github.com/apache/incubator-mxnet/pull/9698#discussion_r166102767
##
File path: docs/tutorials/index.md
##
@@ -174,7 +174,7 @@ The Gluon and Module tutorials are in Python, but
piiswrong commented on a change in pull request #9681: Better Exception
Handling for Operators
URL: https://github.com/apache/incubator-mxnet/pull/9681#discussion_r166079802
##
File path: src/engine/threaded_engine.h
##
@@ -338,33 +346,46 @@ class ThreadedEngine : public
szha commented on a change in pull request #9662: Gluon PReLU, ELU, SELU, Swish
URL: https://github.com/apache/incubator-mxnet/pull/9662#discussion_r166086915
##
File path: python/mxnet/gluon/nn/activations.py
##
@@ -0,0 +1,215 @@
+# Licensed to the Apache Software
GoodJoey closed issue #9430: when i use k8s to distribute training, i get the
error on scheduler?(my_node_.port) != (-1) bind failed
URL: https://github.com/apache/incubator-mxnet/issues/9430
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safrooze opened a new pull request #9705: Added unittest for benchmarking
metric performance
URL: https://github.com/apache/incubator-mxnet/pull/9705
Output of the benchmark is sent to stderr
## Description ##
Benchmark loops through two batch-sizes (100,000 and 1,000,000) and
safrooze commented on issue #9705: Added unittest for benchmarking metric
performance
URL: https://github.com/apache/incubator-mxnet/pull/9705#issuecomment-363302529
@szha Please review.
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CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166179973
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/MXNetHandler.scala
##
@@ -0,0 +1,82
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182175
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182830
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166181244
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/MXNetHandler.scala
##
@@ -0,0 +1,82
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182180
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182196
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182225
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182325
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182205
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166181419
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166181091
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/MXNetHandler.scala
##
@@ -0,0 +1,82
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182245
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166181172
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/MXNetHandler.scala
##
@@ -0,0 +1,82
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166181917
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166181293
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166180002
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/MXNetHandler.scala
##
@@ -0,0 +1,82
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182170
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166181996
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166181466
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/MXNetHandler.scala
##
@@ -0,0 +1,82
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182192
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166179638
##
File path: scala-package/core/src/main/scala/ml/dmlc/mxnet/IO.scala
##
@@ -230,6 +230,8 @@ abstract
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166182216
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/PredictBase.scala
##
@@ -0,0 +1,200
CodingCat commented on a change in pull request #9678: [First cut] Scala
Inference APIs
URL: https://github.com/apache/incubator-mxnet/pull/9678#discussion_r166179771
##
File path: scala-package/infer/pom.xml
##
@@ -0,0 +1,124 @@
+
+http://maven.apache.org/POM/4.0.0;
+
ptrendx commented on issue #9583: use nd for accuracy calculation
URL: https://github.com/apache/incubator-mxnet/pull/9583#issuecomment-363306616
@szha Did you do the performance experiments that @piiswrong asked you about
(and what were the results)? With this commit we see 20% perf
pengzhao-intel commented on a change in pull request #9677: Refactor operators
and add MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/9677#discussion_r166163300
##
File path: tests/cpp/include/test_core_op.h
##
@@ -209,6 +209,13 @@ class CoreOpExecutor :
mbaijal opened a new issue #9702: [Post 1.1.0] Apply PR #9701 to the master
branch
URL: https://github.com/apache/incubator-mxnet/issues/9702
The changes to top level LICENSE file were reverted on the release branch
for the 1.1.0 release in PR #9701
Once these changes are approved,
anirudh2290 commented on a change in pull request #9681: Better Exception
Handling for Operators
URL: https://github.com/apache/incubator-mxnet/pull/9681#discussion_r166166236
##
File path: src/engine/threaded_engine.h
##
@@ -338,33 +346,46 @@ class ThreadedEngine :
TaoLv commented on issue #9545: Profiling discussion
URL:
https://github.com/apache/incubator-mxnet/issues/9545#issuecomment-363281815
> If you have better code to determine the number of "real" cores, I will
use it.
> Right now, we use Intel OMP (at least when building with cmake on
mbaijal opened a new pull request #9701: Revert "[Review Required] Fixing
Licenses: Cleaning up the Top Level LICENSE file (#9484)"
URL: https://github.com/apache/incubator-mxnet/pull/9701
This reverts commit 8930d96b265560a797c5554a9617f607cea7740f.
## Description ##
As
cjolivier01 commented on a change in pull request #9677: Refactor operators and
add MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/9677#discussion_r166170702
##
File path: tests/cpp/include/test_core_op.h
##
@@ -209,6 +209,13 @@ class CoreOpExecutor : public
zihaolucky commented on a change in pull request #9195: [WIP]NCE loss gluon
URL: https://github.com/apache/incubator-mxnet/pull/9195#discussion_r166171054
##
File path: python/mxnet/gluon/data/sampler.py
##
@@ -136,3 +138,74 @@ def __len__(self):
raise ValueError(
zhaodongsun opened a new issue #9703: Can't run mx.nd.smooth_l1
URL: https://github.com/apache/incubator-mxnet/issues/9703
## Description
(Brief description of the problem in no more than 2 sentences.)
Can't run mx.nd.smooth_l1
## Environment info (Required)
--Python
Godricly opened a new issue #9704: Misleading Document for conv1d and max1d in
gluon
URL: https://github.com/apache/incubator-mxnet/issues/9704
The document claims to support 'NWC' layout, while it actually not.
my current mxnet version is mxnet-cu80 (1.0.0.post4).
@zhreshold
eric-haibin-lin opened a new pull request #9706: Update years in NOTICE file to
2017-2018
URL: https://github.com/apache/incubator-mxnet/pull/9706
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cjolivier01 commented on issue #9545: Profiling discussion
URL:
https://github.com/apache/incubator-mxnet/issues/9545#issuecomment-363168613
If you have better code to determine the number of "real" cores, I will use
it.
Right now, we use Intel OMP (at least when building with cmake on
piiswrong closed pull request #9697: fix NAG if multi_precision = true
URL: https://github.com/apache/incubator-mxnet/pull/9697
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
szha commented on a change in pull request #9698: Fixed 4 broken links
URL: https://github.com/apache/incubator-mxnet/pull/9698#discussion_r166088717
##
File path: python/mxnet/gluon/trainer.py
##
@@ -34,7 +34,7 @@ class Trainer(object):
The set of parameters to
reminisce commented on a change in pull request #9552: [REQUEST FOR REVIEW | DO
NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166128812
##
File path: Jenkinsfile
##
@@ -442,6 +479,42 @@ try {
}
cjolivier01 commented on a change in pull request #9625: sparse regression
operators
URL: https://github.com/apache/incubator-mxnet/pull/9625#discussion_r166129856
##
File path: src/operator/regression_output.cc
##
@@ -90,7 +90,7 @@ The parameter `grad_scale` can be used
anirudh2290 commented on issue #9681: Better Exception Handling for Operators
URL: https://github.com/apache/incubator-mxnet/pull/9681#issuecomment-363241899
@piiswrong Trying to understand your comment.
Lets say we have some code snippet like the below:
```
try:
KellenSunderland commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166132342
##
File path: Jenkinsfile
##
@@ -442,6 +479,42 @@ try {
reminisce commented on a change in pull request #9552: [REQUEST FOR REVIEW | DO
NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166132741
##
File path: Jenkinsfile
##
@@ -442,6 +479,42 @@ try {
}
zheng-da commented on a change in pull request #9677: Refactor operators and
add MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/9677#discussion_r166135426
##
File path: tests/cpp/include/test_core_op.h
##
@@ -209,6 +209,13 @@ class CoreOpExecutor : public
yzhliu closed pull request #8245: Use argmax instead of argmax_channel in
Accuracy to keep dimention
URL: https://github.com/apache/incubator-mxnet/pull/8245
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
This is an automated email from the ASF dual-hosted git repository.
liuyizhi 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 3e79aef Use argmax instead of
sandeep-krishnamurthy opened a new issue #9699: MXNet pip package installs
older version of numpy (1.13)
URL: https://github.com/apache/incubator-mxnet/issues/9699
MXNet pip package installs numpy (<=1.13). We need to test and upgrade to
the latest (1.14).
Some of the issues users can
yzhliu commented on issue #8530: Fatal JVM Error due to Exception in
CustomOpProp#inferTypeEntry
URL:
https://github.com/apache/incubator-mxnet/issues/8530#issuecomment-363230784
@tutnixzursache Could you shoot a fix for this?
KellenSunderland commented on issue #9552: [REQUEST FOR REVIEW | DO NOT MERGE]
Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#issuecomment-363242452
@reminisce Do you know what version of cudnn you need for this? Is cudnn6
alright, or do you
reminisce commented on issue #9552: [REQUEST FOR REVIEW | DO NOT MERGE] Model
Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#issuecomment-363243755
@KellenSunderland cudnn6 should be alright.
Author: haibin
Date: Mon Feb 5 22:45:12 2018
New Revision: 24716
Log:
remove older releases
Removed:
release/incubator/mxnet/0.11.0/
release/incubator/mxnet/0.12.0/
release/incubator/mxnet/0.12.1/
Author: haibin
Date: Mon Feb 5 22:47:06 2018
New Revision: 24717
Log:
remove older releases
Removed:
dev/incubator/mxnet/0.11.0.rc0/
dev/incubator/mxnet/0.11.0.rc1/
dev/incubator/mxnet/0.11.0.rc2/
dev/incubator/mxnet/0.11.0.rc3/
dev/incubator/mxnet/0.12.0.rc0/
Davidrjx commented on issue #212: crash when running python
./predict-with-pretrained-model.py
URL: https://github.com/apache/incubator-mxnet/issues/212#issuecomment-363319926
i came with similar problem when running
`mx.nd.ones((2,3),mx.gpu())` , but error as follows:
```
Davidrjx commented on issue #212: crash when running python
./predict-with-pretrained-model.py
URL: https://github.com/apache/incubator-mxnet/issues/212#issuecomment-363319926
i came with similar problem when running
`mxnet.nd.ones((2,3),mx.gpu())` , but error as follows:
```
eric-haibin-lin commented on issue #9705: Added unittest for benchmarking
metric performance
URL: https://github.com/apache/incubator-mxnet/pull/9705#issuecomment-363326703
Why not include small batch size like 64? 100k is huge.
eric-haibin-lin opened a new pull request #9708: Add code signing key
URL: https://github.com/apache/incubator-mxnet/pull/9708
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eric-haibin-lin opened a new pull request #9707: Bump version to 1.1.0
URL: https://github.com/apache/incubator-mxnet/pull/9707
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GoodJoey opened a new issue #9709: what will happen if one of the node reboot
when doing the distribute training?
URL: https://github.com/apache/incubator-mxnet/issues/9709
if i 'm doing the distribute training, supposed one of my node is
rebooted(or 'dead' for some other reasons), what
Davidrjx commented on issue #9489: terminate called after throwing an instance
of 'dmlc::Error'
URL:
https://github.com/apache/incubator-mxnet/issues/9489#issuecomment-363327956
i think should run container with nvidia-docker, at lease so am i ,and i run
mxnet with gpu
safrooze commented on issue #9705: Added unittest for benchmarking metric
performance
URL: https://github.com/apache/incubator-mxnet/pull/9705#issuecomment-363328924
The intention is to observe a measurable elapsed time (hence large data
size) and amplify the difference between CPU and
Hebali commented on issue #9647: Gluon in Core API
URL:
https://github.com/apache/incubator-mxnet/issues/9647#issuecomment-363209250
Core functionality for supported languages (namely Python, Scala, R, Julia,
C++ and Perl) is delivered through bindings to MXNet's C API (see
KellenSunderland commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166103566
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@@ -442,6 +479,42 @@ try {
KellenSunderland commented on a change in pull request #9552: [REQUEST FOR
REVIEW | DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r166103566
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@@ -442,6 +479,42 @@ try {
piiswrong commented on issue #9573: Added two functions to the C API
URL: https://github.com/apache/incubator-mxnet/pull/9573#issuecomment-363213889
The CAPI is meant to follow the hour glass model. Its like small kernel. If
something can be done by composing existing API we shouldn't add
cjolivier01 commented on issue #9625: sparse regression operators
URL: https://github.com/apache/incubator-mxnet/pull/9625#issuecomment-363174023
Looks like it compiles now :)
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cjolivier01 commented on issue #9545: Profiling discussion
URL:
https://github.com/apache/incubator-mxnet/issues/9545#issuecomment-363178424
I added a place for associated performance-related JIRA tasks:
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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 921fbe9 Remove '+=' in
piiswrong closed pull request #9694: Remove '+=' in inception-resnet-v2
URL: https://github.com/apache/incubator-mxnet/pull/9694
This is a PR merged from a forked repository.
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the sake of provenance:
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