leezu commented on issue #16926: autograd.is_training() does not work on
hybridized networks.
URL:
https://github.com/apache/incubator-mxnet/issues/16926#issuecomment-559381981
@Wallart would https://github.com/apache/incubator-mxnet/issues/16932 be
helpful? Please comment there if you
leezu opened a new issue #16932: Detect unsupported usage of Gluon Hybridization
URL: https://github.com/apache/incubator-mxnet/issues/16932
## Description
Sometimes users may expect Gluon hybridization to magically do things it
currently cannot do.
An example is
leezu closed issue #16926: autograd.is_training() does not work on hybridized
networks.
URL: https://github.com/apache/incubator-mxnet/issues/16926
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leezu commented on issue #16926: autograd.is_training() does not work on
hybridized networks.
URL:
https://github.com/apache/incubator-mxnet/issues/16926#issuecomment-559380807
Hybridization traces the input during the first forward pass to the
hybridized network. Afterwards it will
xinyu-intel opened a new pull request #16931: [MKL-DNN] Enable and Optimization
for s8 eltwise_add
URL: https://github.com/apache/incubator-mxnet/pull/16931
## Description ##
cache primitive for int8 eltwise_add operator with dnnl 1.0
@pengzhao-intel @TaoLv @rongzha1
##
marcoabreu commented on issue #16928: [CI] Disable builds based on ubuntu 14.04
as Ubuntu 14 is EOL and the…
URL: https://github.com/apache/incubator-mxnet/pull/16928#issuecomment-559378940
Instead of turning them off, we can also just adjust the sources file which
tells Apt where to grab
szhengac commented on issue #16930: Plug and Play fit_batch() for the estimator
class
URL:
https://github.com/apache/incubator-mxnet/issues/16930#issuecomment-559374918
Why don't we just pack the input and unpack it when we feed it into the
model? The order of input will be determined by
wkcn commented on a change in pull request #16923: [WIP] Fallback mechanism for
mx.np operators
URL: https://github.com/apache/incubator-mxnet/pull/16923#discussion_r351623106
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -202,13 +220,13 @@ def
evi-Genius commented on issue #16929: quantization, excluded_sym_names doesn't
work
URL:
https://github.com/apache/incubator-mxnet/issues/16929#issuecomment-559368266
> Please specify the version of MXNet you are using. It's best to run the
diagnosis script that you were requested to run
evi-Genius edited a comment on issue #16929: quantization, excluded_sym_names
doesn't work
URL:
https://github.com/apache/incubator-mxnet/issues/16929#issuecomment-559368266
> Please specify the version of MXNet you are using. It's best to run the
diagnosis script that you were requested
szha commented on issue #16930: Plug and Play fit_batch() for the estimator
class
URL:
https://github.com/apache/incubator-mxnet/issues/16930#issuecomment-559366088
A common difficulty in using callback is the confusion about signature. You
can work around it by defining a class, as is
leezu commented on issue #16929: quantization, excluded_sym_names doesn't work
URL:
https://github.com/apache/incubator-mxnet/issues/16929#issuecomment-559364178
Please specify the version of MXNet you are using. It's best to run the
diagnosis script that you were requested to run when
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wkcn edited a comment on issue #15921: dynamic custom operator support
URL: https://github.com/apache/incubator-mxnet/pull/15921#issuecomment-559356763
Hi @samskalicky and @rondogency , is it ready to merge this PR after CI
passes?
wkcn commented on issue #15921: dynamic custom operator support
URL: https://github.com/apache/incubator-mxnet/pull/15921#issuecomment-559356763
Hi @samskalicky and @rondogency , is it ready to merge this PR?
This is an
reminisce commented on a change in pull request #16923: [WIP] Fallback
mechanism for mx.np operators
URL: https://github.com/apache/incubator-mxnet/pull/16923#discussion_r351603076
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -202,13 +220,13 @@ def
liuzh91 commented on issue #16930: Plug and Play fit_batch() for the estimator
class
URL:
https://github.com/apache/incubator-mxnet/issues/16930#issuecomment-559331844
@szhengac
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leezu commented on issue #16930: Plug and Play fit_batch() for the estimator
class
URL:
https://github.com/apache/incubator-mxnet/issues/16930#issuecomment-559331214
CC @sxjscience @szha @roywei
This is an automated
liuzh91 opened a new issue #16930: Plug and Play fit_batch() for the estimator
class
URL: https://github.com/apache/incubator-mxnet/issues/16930
## Description
In the current estimator implementation, fit_batch() is a class method of
the estimator class. A common workflow of
leezu removed a comment on issue #16928: [CI] Disable builds based on ubuntu
14.04 as Ubuntu 14 is EOL and the…
URL: https://github.com/apache/incubator-mxnet/pull/16928#issuecomment-559319597
@larroy actually it is sufficient to disable the requirement for
evi-Genius opened a new issue #16929: quantization, excluded_sym_names doesn't
work
URL: https://github.com/apache/incubator-mxnet/issues/16929
## Description
I use the `excluded_sym_names `when I test my custom model on
`imagenet_gen_qsym.py`, but actually the symbols are not be
TaoLv commented on issue #16866: skip quantized conv flaky case
URL: https://github.com/apache/incubator-mxnet/pull/16866#issuecomment-559325269
@ChaiBapchya @access2rohit @larroy Really appreciate your suggestions and
frugal spirit for MXNet development. I think this PR is not the first
leezu commented on issue #16928: [CI] Disable builds based on ubuntu 14.04 as
Ubuntu 14 is EOL and the…
URL: https://github.com/apache/incubator-mxnet/pull/16928#issuecomment-559319597
@larroy actually it is sufficient to disable the requirement for
"ci/jenkins/mxnet-validation/unix-cpu"
leezu commented on issue #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893#issuecomment-559316484
Thanks for the clarification. Is it necessary to expose it as a separate
`multiLamb` optimizer? Can it be integrated with #16715? Why do we need the
less
MoisesHer edited a comment on issue #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893#issuecomment-559302436
> What's the relation with #16715? #16715 recently added 'LAMB' optimizer to
`python/mxnet/optimizer/optimizer.py`. Your code is currently in
leezu commented on issue #16928: [CI] Disable builds based on ubuntu 14.04 as
Ubuntu 14 is EOL and the…
URL: https://github.com/apache/incubator-mxnet/pull/16928#issuecomment-559315710
If we want to continue using 14.04, we may need to sign up for
https://ubuntu.com/esm ?
leezu commented on issue #16928: [CI] Disable builds based on ubuntu 14.04 as
Ubuntu 14 is EOL and the…
URL: https://github.com/apache/incubator-mxnet/pull/16928#issuecomment-559315469
Do you plan to re-enable this test based on Ubuntu 16.04 shortly after?
leezu commented on issue #16924: Why do I install version 1.2.0 using pip
install mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/16924#issuecomment-559314771
Strange. Please run the diagnosis script that you were requested to run when
creating the issue: `curl --retry 10 -s
pengzhao-intel commented on issue #16899: [WIP] Enable MKL-DNN in pip packages
URL: https://github.com/apache/incubator-mxnet/pull/16899#issuecomment-559313961
@szha does this make sense to keep *mkl variants for a short time? Or we
need to remove from now.
@marcoabreu @samskalicky
pengzhao-intel commented on issue #16866: skip quantized conv flaky case
URL: https://github.com/apache/incubator-mxnet/pull/16866#issuecomment-559310986
Let's skip this test first :)
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ewail opened a new pull request #16909: Build with cv 4.0
URL: https://github.com/apache/incubator-mxnet/pull/16909
## Description ##
Build with cv 4.0
### Changes ###
Change CV_IMWRITE_PNG_COMPRESSION to cv::IMWRITE_PNG_COMPRESSION
Change CV_IMWRITE_JPEG_QUALITY to
wkcn closed pull request #16909: Build with cv 4.0
URL: https://github.com/apache/incubator-mxnet/pull/16909
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wkcn commented on a change in pull request #16923: [WIP] Fallback mechanism for
mx.np operators
URL: https://github.com/apache/incubator-mxnet/pull/16923#discussion_r351558270
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -202,13 +220,13 @@ def
MoisesHer commented on issue #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893#issuecomment-559302436
> What's the relation with #16715? #16715 recently added 'LAMB' optimizer to
`python/mxnet/optimizer/optimizer.py`. Your code is currently in conflict.
xinyu-intel commented on issue #16866: skip quantized conv flaky case
URL: https://github.com/apache/incubator-mxnet/pull/16866#issuecomment-559298207
@larroy I have already used this script and it is very easy for use.
However, in contrast with "very high probability", this case also
xinyu-intel commented on issue #16866: skip quantized conv flaky case
URL: https://github.com/apache/incubator-mxnet/pull/16866#issuecomment-559297094
okay, I'll ask in dev list next time.
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lanking pushed a change to branch master
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from 7713a43 Update TensorRT tutorial to build-from-source. (#14860)
add 32a9baa Adding user guidelines
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from 7713a43 Update TensorRT tutorial to build-from-source. (#14860)
add 32a9baa Adding user guidelines
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from 7713a43 Update TensorRT tutorial to build-from-source. (#14860)
add 32a9baa Adding user guidelines
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lanking pushed a change to branch master
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from 7713a43 Update TensorRT tutorial to build-from-source. (#14860)
add 32a9baa Adding user guidelines
lanking520 merged pull request #16894: Adding user guidelines for using MXNet
built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894
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larroy commented on issue #16928: [CI] Disable builds based on ubuntu 14.04 as
Ubuntu 14 is EOL and the…
URL: https://github.com/apache/incubator-mxnet/pull/16928#issuecomment-559275473
See errors here:
larroy commented on issue #16928: [CI] Disable builds based on ubuntu 14.04 as
Ubuntu 14 is EOL and the…
URL: https://github.com/apache/incubator-mxnet/pull/16928#issuecomment-559260287
@mseth10 @samskalicky @lanking520
larroy opened a new pull request #16928: [CI] Disable builds based on ubuntu
14.04 as Ubuntu 14 is EOL and the…
URL: https://github.com/apache/incubator-mxnet/pull/16928
… container can't be built right now.
This is an
samskalicky commented on issue #16891: Upgrading MKLDNN to 1.0 causes
performance regression.
URL:
https://github.com/apache/incubator-mxnet/issues/16891#issuecomment-559247246
Regarding the following error:
```
No CMAKE_ASM_NASM_COMPILER could be found.
```
you can install
reminisce commented on issue #16895: Fix ndarray indexing bug
URL: https://github.com/apache/incubator-mxnet/pull/16895#issuecomment-559231238
Ubuntu 14.04 has problems. It's being under investigation.
This is an automated
ChaiBapchya edited a comment on issue #15882: Move Windows CI build to a 64-bit
toolchain to fix 'out of heap space'.
URL: https://github.com/apache/incubator-mxnet/pull/15882#issuecomment-559229379
> It seems like I was under the impression that we are dropping support of
some visual
ChaiBapchya commented on issue #15882: Move Windows CI build to a 64-bit
toolchain to fix 'out of heap space'.
URL: https://github.com/apache/incubator-mxnet/pull/15882#issuecomment-559229379
> It seems like I was under the impression that we are dropping support of
some visual studio
access2rohit commented on issue #16894: Adding user guidelines for using MXNet
built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#issuecomment-559217645
@mxnet-label-bot add [pr-awaiting-merge]
access2rohit closed pull request #16242: [DEBUG]Argmax base
URL: https://github.com/apache/incubator-mxnet/pull/16242
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access2rohit closed pull request #16241: [DEBUG]Argmax 2d 3d
URL: https://github.com/apache/incubator-mxnet/pull/16241
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larroy commented on issue #15882: Move Windows CI build to a 64-bit toolchain
to fix 'out of heap space'.
URL: https://github.com/apache/incubator-mxnet/pull/15882#issuecomment-559214353
If we want to monitor binary sizes, a good way to do it would be to put a
safeguard on CI that checks
larroy commented on issue #16866: skip quantized conv flaky case
URL: https://github.com/apache/incubator-mxnet/pull/16866#issuecomment-559213822
@xinyu-intel you can use the ci/build.py tool to easily reproduce what runs
on CI. it's dockerized so it's going to produce the same result with
access2rohit commented on issue #16866: skip quantized conv flaky case
URL: https://github.com/apache/incubator-mxnet/pull/16866#issuecomment-559209563
@xinyu-intel this is not a proper use of public resources. If you have
issues with reproducing your issues on local then you should ask on
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aaronmarkham pushed a commit to branch asf-site
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new a58a84c Bump the
samskalicky opened a new pull request #16927: Anirudh Subramanian's changes for
multithreaded inference
URL: https://github.com/apache/incubator-mxnet/pull/16927
## Description ##
Multithreaded Inference Interface
## Checklist ##
### Essentials ###
Please feel free to
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ptrendx pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from a98cefc [Numpy] Basic indexing in symbolic interface of DeepNumpy
(#16621)
add 7713a43 Update
ptrendx merged pull request #14860: Update TensorRT tutorial to
build-from-source.
URL: https://github.com/apache/incubator-mxnet/pull/14860
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samskalicky commented on issue #16891: Upgrading MKLDNN to 1.0 causes
performance regression.
URL:
https://github.com/apache/incubator-mxnet/issues/16891#issuecomment-559184562
@ptrendx @rongzha1 @PatricZhao thanks for looking into this, but the issue
is not resolved until we verify by
KellenSunderland commented on issue #14860: Update TensorRT tutorial to
build-from-source.
URL: https://github.com/apache/incubator-mxnet/pull/14860#issuecomment-559177196
Friendly ping @aaronmarkham.
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shrey183 commented on issue #16924: Why do I install version 1.2.0 using pip
install mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/16924#issuecomment-559167404
I tried as you suggested and got the following error message:
ERROR: Could not find a version that
ptrendx commented on issue #16807: [WIP] Multithreaded Inference Support
URL: https://github.com/apache/incubator-mxnet/pull/16807#issuecomment-559161584
@anirudh2290 What is the status of this PR? It is still marked WIP, but it
is for the 1.6.x branch.
ptrendx commented on issue #16891: Upgrading MKLDNN to 1.0 causes performance
regression.
URL:
https://github.com/apache/incubator-mxnet/issues/16891#issuecomment-559158715
Considering @rongzha1 comment I don't consider this issue to be a blocker
for 1.6 release. Please comment if you
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new a3b0aa4 [Numpy] Fix imperative basic
ptrendx commented on issue #16895: Fix ndarray indexing bug
URL: https://github.com/apache/incubator-mxnet/pull/16895#issuecomment-559157788
Build failed due to network error - I retriggered it.
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ptrendx pushed a commit to branch v1.6.x
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ptrendx commented on issue #16904: Upgrade MXNet version to 1.6.0
URL:
https://github.com/apache/incubator-mxnet/issues/16904#issuecomment-559157316
Removing 1.6 label, since the relevant PR was merged to 1.6.
This is an
ptrendx merged pull request #16919: Backport #16902 to 1.6
URL: https://github.com/apache/incubator-mxnet/pull/16919
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Wallart opened a new issue #16926: autograd.is_training() does not work on
hybridized networks.
URL: https://github.com/apache/incubator-mxnet/issues/16926
Hello everyone,
I might have found an issue about autograd.is_training().
I've implemented a transformer. At training time my
RuRo opened a new issue #16925: ImageRecordIter random_resized_crop artifacts
URL: https://github.com/apache/incubator-mxnet/issues/16925
## Description
The `random_crop` augmentation in `ImageRecordIter` seems to sometimes
corrupt the image. This happens with both
leezu edited a comment on issue #16924: Why do I install version 1.2.0 using
pip install mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/16924#issuecomment-559088900
Why do you want to use MXNet 1.2 or 1.3? GluonTS Readme describes they want
`pip install mxnet==1.4.1
leezu commented on issue #16924: Why do I install version 1.2.0 using pip
install mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/16924#issuecomment-559088900
Why do you want to use MXNet 1.2 or 1.3? GluonTS Readme describes they want
`pip install mxnet==1.4.1 gluonts`.
leezu closed issue #16924: Why do I install version 1.2.0 using pip install
mxnet?
URL: https://github.com/apache/incubator-mxnet/issues/16924
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aaronmarkham pushed a commit to branch asf-site
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new fc13af4 Bump the
shrey183 opened a new issue #16924: Why do I install version 1.2.0 using pip
install mxnet?
URL: https://github.com/apache/incubator-mxnet/issues/16924
## Description
I am using Python 3.7.0 and I want to install mxnet in order to use gluonts.
I write `pip install mxnet` and it always
Kh4L commented on issue #14883: [Discussion] Overhead in MXNet Execution
URL:
https://github.com/apache/incubator-mxnet/issues/14883#issuecomment-559038625
@sxjscience what do the differences between Naive and ThreadedEngine reflect
in the other frameworks?
Wallart commented on issue #16754: Is mirroring working with MXNet 1.5.1 Gluon ?
URL:
https://github.com/apache/incubator-mxnet/issues/16754#issuecomment-559016371
Can you confirm that mirroring is still working on MXNet 1.5.1 using the
symbolic API ?
As a placeholder, I will re-write
reminisce opened a new pull request #16923: [WIP] Fallback mechanism for mx.np
operators
URL: https://github.com/apache/incubator-mxnet/pull/16923
## Description ##
Fallback mechanism for `mx.np` operators.
@haojin2
liuzh91 opened a new pull request #16922: Update LoggingHandler to support
logging per interval
URL: https://github.com/apache/incubator-mxnet/pull/16922
## Description ##
Add support of logging per interval to the default LoggingHandler. It acts
as a middle ground between logging per
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