anirudh2290 commented on issue #9681: Better Exception Handling for Operators
URL: https://github.com/apache/incubator-mxnet/pull/9681#issuecomment-364031160
After discussion with @piiswrong , we came to a conclusion that in an
execution graph once an exception is thrown, the same
freshcoderman commented on issue #9271: Windows: Python prompt gets stuck on
exit()
URL:
https://github.com/apache/incubator-mxnet/issues/9271#issuecomment-364029154
+1
same issue on Windows7, running mxnet '1.0.0' with both python2 and python3
as long as I do "import mxnet as mx"
qingzhouzhen opened a new issue #9743: from tensorboard import SummaryWriter
wrong
URL: https://github.com/apache/incubator-mxnet/issues/9743
this file
```https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/contrib/tensorboard.py```
does not work any more,
because new
eric-haibin-lin commented on issue #9705: Added unittest for benchmarking
metric performance
URL: https://github.com/apache/incubator-mxnet/pull/9705#issuecomment-364017775
Wouldn't nightly test be a better place for performance tests like this?
This unit test doesn't verify the
feevos commented on issue #9742: Feature request: please translate zh.gluon.ai
in English
URL:
https://github.com/apache/incubator-mxnet/issues/9742#issuecomment-364008539
Thank you @astonzhang !! @TaoLv there are significant differences
(according to my humble opinion -e.g. in
TaoLv commented on issue #9742: Feature request: please translate zh.gluon.ai
in English
URL:
https://github.com/apache/incubator-mxnet/issues/9742#issuecomment-364006535
It says there is a English version here: http://gluon.mxnet.io/. But maybe
there are some differences between these
szha commented on issue #9652: Fallout from simplifying/fixing im2rec.py
commandline boolean options.
URL: https://github.com/apache/incubator-mxnet/pull/9652#issuecomment-364006303
Related: #8880
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szha closed pull request #9652: Fallout from simplifying/fixing im2rec.py
commandline boolean options.
URL: https://github.com/apache/incubator-mxnet/pull/9652
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astonzhang commented on issue #9742: Feature request: please translate
zh.gluon.ai in English
URL:
https://github.com/apache/incubator-mxnet/issues/9742#issuecomment-364006201
Thanks. Will do.
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jeremiedb commented on issue #9737: dot product backwards in R
URL:
https://github.com/apache/incubator-mxnet/issues/9737#issuecomment-364005355
Has you guessed it, axis order interpretation has to be reversed when
working with MxnetR. Dimensions has to be interpreted from right to left,
feevos opened a new issue #9742: Feature request: please translate zh.gluon.ai
in English
URL: https://github.com/apache/incubator-mxnet/issues/9742
Dear all,
there is a great deal of information in the [Chinese version of the gluon
page](https://zh.gluon.ai/), google translator
szha closed pull request #9739: fix FileNotFoundError error in diagnose.py
URL: https://github.com/apache/incubator-mxnet/pull/9739
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safrooze commented on issue #9705: Added unittest for benchmarking metric
performance
URL: https://github.com/apache/incubator-mxnet/pull/9705#issuecomment-363977854
OK I think I addressed all the feedback:
* random is seeded
* nd.wait_all() used before starting timing and before
safrooze commented on issue #9705: Added unittest for benchmarking metric
performance
URL: https://github.com/apache/incubator-mxnet/pull/9705#issuecomment-363977854
OK I think I addressed all the feedback:
* random is seeded
* nd.wait_all() used before starting timing and before
chsin commented on issue #7725: accuracy of cpp example is a constant value
when training, no matter how many epochs trained!
URL:
https://github.com/apache/incubator-mxnet/issues/7725#issuecomment-363976557
@goodtogood if you pull master and rebuild, do you have the same issue?
HuangZhanPeng commented on issue #9729: how to use the transforms
URL:
https://github.com/apache/incubator-mxnet/issues/9729#issuecomment-363971683
thank you very much
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larroy opened a new pull request #9741: CI environment refinements
URL: https://github.com/apache/incubator-mxnet/pull/9741
## Description ##
Don't install nvidia driver
Don't install gtest
set -x and -e so scripts fail when command fail.
## Checklist ##
### Essentials
szha commented on issue #9739: fix FileNotFoundError error in diagnose.py
URL: https://github.com/apache/incubator-mxnet/pull/9739#issuecomment-363970915
Thanks for fixing. cc'd @zhreshold
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szha commented on issue #9739: fix FileNotFoundError error in diagnose.py
URL: https://github.com/apache/incubator-mxnet/pull/9739#issuecomment-363970915
Thanks for fixing. @zhreshold
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szha commented on a change in pull request #9492: fix print_summary bug and add
groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r166808910
##
File path: python/mxnet/visualization.py
##
@@ -134,17 +134,23 @@ def
szha commented on a change in pull request #9492: fix print_summary bug and add
groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r166808910
##
File path: python/mxnet/visualization.py
##
@@ -134,17 +134,23 @@ def
szha commented on a change in pull request #9492: fix print_summary bug and add
groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r166808910
##
File path: python/mxnet/visualization.py
##
@@ -134,17 +134,23 @@ def
zheng-da opened a new pull request #9740: add axis support and gradient for
L2norm
URL: https://github.com/apache/incubator-mxnet/pull/9740
## Description ##
This PR adds axis support and compute gradient for L2norm.
## Checklist ##
### Essentials ###
- [ ] Passed code
szha commented on a change in pull request #9492: fix print_summary bug and add
groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r166807999
##
File path: python/mxnet/visualization.py
##
@@ -134,17 +134,23 @@ def
chsin opened a new pull request #9739: fix FileNotFoundError error in
diagnose.py
URL: https://github.com/apache/incubator-mxnet/pull/9739
FileNotFoundError not available in python2.7, use IOError instead.
## Description ##
What happens with old code:
```
pengzhao-intel commented on issue #9730: Check padding size for global pooling
URL: https://github.com/apache/incubator-mxnet/pull/9730#issuecomment-363963004
@szha @zheng-da please help take a review
This is an automated
szha commented on issue #8546: What's the equivalent of np.where()?
URL:
https://github.com/apache/incubator-mxnet/issues/8546#issuecomment-363959753
@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 #8593: Runtime errors during forward in a custom
gluon.Block
URL:
https://github.com/apache/incubator-mxnet/issues/8593#issuecomment-363959759
@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 #7933: CoreML conversion with finetuned model
URL:
https://github.com/apache/incubator-mxnet/issues/7933#issuecomment-363959748
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For general
eric-haibin-lin closed pull request #9701: [REVIEW REQUIRED] Revert PR #9484 &
add additional dependency licenses to LICENSE file
URL: https://github.com/apache/incubator-mxnet/pull/9701
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haibin pushed a commit to branch v1.1.0
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new 6deba93 [REVIEW REQUIRED] Revert PR
zhanghang1989 commented on issue #9738: Add Support for int64
URL: https://github.com/apache/incubator-mxnet/pull/9738#issuecomment-363956820
@piiswrong added a macro.
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mbaijal commented on issue #9701: [REVIEW REQUIRED] Revert PR #9484 & add
additional dependency licenses to LICENSE file
URL: https://github.com/apache/incubator-mxnet/pull/9701#issuecomment-363952968
Thanks Henri!
@eric-haibin-lin Can you please merge this PR.
hyandell commented on issue #9701: [REVIEW REQUIRED] Revert PR #9484 & add
additional dependency licenses to LICENSE file
URL: https://github.com/apache/incubator-mxnet/pull/9701#issuecomment-363952750
Looks good to me. +1 to merge.
piiswrong commented on issue #9738: Add Support for int64
URL: https://github.com/apache/incubator-mxnet/pull/9738#issuecomment-363952242
Also need to add int8.
Could you turn
```
.add_enum("float32", mshadow::kFloat32)
.add_enum("float64", mshadow::kFloat64)
szha closed pull request #9723: Specify lint-versions and fix docker build
issues due to nvidia-384
URL: https://github.com/apache/incubator-mxnet/pull/9723
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zhanghang1989 opened a new pull request #9738: Add Support for int64
URL: https://github.com/apache/incubator-mxnet/pull/9738
## Description ##
Address the issue https://github.com/apache/incubator-mxnet/issues/9536
## Checklist ##
### Essentials ###
- [ ] Passed code style
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ead9b1a
danithaca commented on issue #9735: Feature request: Re-write FastText in MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/9735#issuecomment-363942797
To us, efficiency is nice but perhaps not as important as the ability to do
it inside MXNET. If we can have something simple
piiswrong commented on issue #9729: how to use the transforms
URL:
https://github.com/apache/incubator-mxnet/issues/9729#issuecomment-363936749
`train_data =
gluon.data.vision.MNIST(train=True).transform_first(transforms.ToTensor())`
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a51cdb1
yzhliu closed pull request #9736: Remove Haibin's unused gmail key and added my
apache.org key in its place
URL: https://github.com/apache/incubator-mxnet/pull/9736
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Sinnombre opened a new issue #9737: dot product backwards in R
URL: https://github.com/apache/incubator-mxnet/issues/9737
## Description
When using R, the routine mx.nd.dot processes the inputs in the wrong order.
See example below. A 1x3 vector dot a 3x1 vector should be a scalar, and
szha commented on issue #9662: Gluon PReLU, ELU, SELU, Swish
URL: https://github.com/apache/incubator-mxnet/pull/9662#issuecomment-363929433
@piiswrong, I addressed latest comments. Let me know if any further change
is needed.
szha commented on issue #9735: Feature request: Re-write FastText in MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/9735#issuecomment-363929115
This is definitely worth exploring. It will take some work to match the
efficiency with the optimized implementation in facebook's
cjolivier01 opened a new pull request #9736: Remove Haibin's unused gmail key
and added my apache.org key in its place
URL: https://github.com/apache/incubator-mxnet/pull/9736
## Description ##
Remove Haibin's unused gmail key and added my apache.org key in its place
##
danithaca opened a new issue #9735: Feature request: Re-write FastText in MXNet
URL: https://github.com/apache/incubator-mxnet/issues/9735
Can someone rewrite FastText in MXNet? I saw mxnet now has pre-trained
FastText embeddings (#9551). But it would be really cool to compute embeddings
chsin commented on issue #8126: Not able to train a neural network [XOR added]
URL:
https://github.com/apache/incubator-mxnet/issues/8126#issuecomment-363900630
I'm having the same problem, but for the lenet.cpp example using just the
CPU (example in
chsin commented on issue #8126: Not able to train a neural network [XOR added]
URL:
https://github.com/apache/incubator-mxnet/issues/8126#issuecomment-363900630
I'm having the same problem, bu for the lenet.cpp example using just the CPU
(example in
chsin commented on issue #8126: Not able to train a neural network [XOR added]
URL:
https://github.com/apache/incubator-mxnet/issues/8126#issuecomment-363900630
I'm having the same problem, but one for the lenet.cpp example using just
the CPU (example in
chsin commented on issue #8126: Not able to train a neural network [XOR added]
URL:
https://github.com/apache/incubator-mxnet/issues/8126#issuecomment-363900630
I'm having the same problem, bu for the lenet.cpp example using just the CPU
(example in
piiswrong commented on issue #9727: Refactored storage handling
URL: https://github.com/apache/incubator-mxnet/pull/9727#issuecomment-363893822
@cjolivier01
Since the current implementation is working OK, we need to make sure the
refactor does not have visible impact on performance
piiswrong commented on issue #9727: Refactored storage handling
URL: https://github.com/apache/incubator-mxnet/pull/9727#issuecomment-363893822
@cjolivier01
Since the current implementation is working OK, we need to make sure the
refactor does not have visible impact on performance
lebeg commented on issue #9727: Refactored storage handling
URL: https://github.com/apache/incubator-mxnet/pull/9727#issuecomment-363878445
> What's the benefit of using shared_ptr for storage?
The ownership of memory storage::Handles are pointing to with their dptr is
protected
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jxie pushed a commit to branch master
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new 48dcbf2 Improve take documentation.
piiswrong closed pull request #9717: Doc improvement
URL: https://github.com/apache/incubator-mxnet/pull/9717
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piiswrong commented on issue #9727: Refactored storage handling
URL: https://github.com/apache/incubator-mxnet/pull/9727#issuecomment-363870638
What's the benefit of using shared_ptr for storage? Chunks are already in
shared_ptr and never copied anyway.
How much performance impact
reminisce commented on issue #9723: Specify lint-versions and fix docker build
issues due to nvidia-384
URL: https://github.com/apache/incubator-mxnet/pull/9723#issuecomment-363871035
Can this be merged?
This is an automated
piiswrong commented on issue #9727: Refactored storage handling
URL: https://github.com/apache/incubator-mxnet/pull/9727#issuecomment-363870638
What's the benefit of using shared_ptr for storage? Chunks are already in
shared_ptr and never copied anyway.
How much performance is lost
yzhliu closed issue #8549: What's the equivalent of tf.matmul in tensorflow
URL: https://github.com/apache/incubator-mxnet/issues/8549
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yzhliu closed issue #8552: Problem in mx.io.ImageRecordIter
URL: https://github.com/apache/incubator-mxnet/issues/8552
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reminisce commented on issue #9724: undefined symbol: MXSymbolGetNumOutputs
URL:
https://github.com/apache/incubator-mxnet/issues/9724#issuecomment-363865915
Can you first check whether the file `./src/c_api/c_api_symbolic.cc` exists
and the function `MXSymbolGetNumOutputs` is defined in
reminisce opened a new pull request #9734: Add convenience fluent method for
squeeze op
URL: https://github.com/apache/incubator-mxnet/pull/9734
## Description ##
To complement this https://github.com/apache/incubator-mxnet/pull/9700.
@szha
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new 4878fde revert acc changes (#9731)
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eric-haibin-lin closed pull request #9728: PGP keys add liuyizhi AT apache.org
URL: https://github.com/apache/incubator-mxnet/pull/9728
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new ad3f0d8 revert acc changes (#9731)
eric-haibin-lin closed pull request #9731: revert acc changes
URL: https://github.com/apache/incubator-mxnet/pull/9731
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eric-haibin-lin commented on issue #9728: PGP keys add liuyizhi AT apache.org
URL: https://github.com/apache/incubator-mxnet/pull/9728#issuecomment-363857948
cc @mbaijal
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thinksanky commented on issue #9548: updated release version to 1.1.0 on the
mainpage and re-arranged news?
URL: https://github.com/apache/incubator-mxnet/pull/9548#issuecomment-363852146
Rephrased title
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vijayzutshi commented on issue #9602: MXNET not working in R
URL:
https://github.com/apache/incubator-mxnet/issues/9602#issuecomment-363849800
Hi,
So I installed CPU version and it works ok.
Thanks
Vijay
From:
larroy commented on issue #9652: Fallout from simplifying/fixing im2rec.py
commandline boolean options.
URL: https://github.com/apache/incubator-mxnet/pull/9652#issuecomment-363836870
@szha
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larroy commented on a change in pull request #9717: Doc improvement
URL: https://github.com/apache/incubator-mxnet/pull/9717#discussion_r166682684
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -590,9 +590,8 @@ def gt_topk(dat, axis, ret_typ, k, is_ascend):
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_r166679292
##
File path: tests/ci_build/Dockerfile.build_cuda
##
@@ -1,4 +1,4
daleydeng opened a new issue #9733: BUG in MultiBoxTargetForward when there is
single box label
URL: https://github.com/apache/incubator-mxnet/issues/9733
There was a constraint on num_label in MultiBoxTargetForward function at
multibox_target.cu:359 which will cause error when input
szha commented on issue #8562: Number of output from the mx.sym.SoftmaxOutput
URL:
https://github.com/apache/incubator-mxnet/issues/8562#issuecomment-363753551
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For general
szha commented on issue #8234: A bug in VGG_FC_ILSVRC_16_layers-symbol.json
URL:
https://github.com/apache/incubator-mxnet/issues/8234#issuecomment-363753558
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For general
ZiyueHuang commented on issue #9732: Factorization Machine can't run
URL:
https://github.com/apache/incubator-mxnet/issues/9732#issuecomment-363740311
You can try a higher version of mxnet, such as 1.0.0. For installation, you
can refer to
ZiyueHuang commented on a change in pull request #9625: sparse regression
operators
URL: https://github.com/apache/incubator-mxnet/pull/9625#discussion_r166565547
##
File path: src/operator/regression_output.cc
##
@@ -90,7 +90,7 @@ The parameter `grad_scale` can be used
ningyuwhut opened a new issue #9732: Factorization Machine can't run
URL: https://github.com/apache/incubator-mxnet/issues/9732
I run train.py in the example/sparse/factorization_machine dir.and I met the
error:
Traceback (most recent call last):
File "train.py", line 81, in
KellenSunderland commented on issue #9723: Specify lint-versions and fix docker
build issues due to nvidia-384
URL: https://github.com/apache/incubator-mxnet/pull/9723#issuecomment-363697919
"Get CUDA stubs in build_cuda from cuda-8-0 instead of nvidia-384." The
stubs actually come from
chinakook commented on a change in pull request #9492: fix print_summary bug
and add groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r166542757
##
File path: python/mxnet/visualization.py
##
@@ -134,17 +134,23 @@ def
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_r166541617
##
File path: tests/ci_build/Dockerfile.build_cuda8_cudnn7
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_r166541524
##
File path: tests/ci_build/Dockerfile.build_cuda
##
@@
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