kaivu1999 opened a new issue #15083: Problem in my Network.
URL: https://github.com/apache/incubator-mxnet/issues/15083
## Description
I am trying to make vgg-11 net for Cifar data that is I need to have just 10
elements in the last layer.
## Environment info (Required)
```
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zhasheng pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 6cf964a Improve FC perf when no_bias=False (#15033)
add bbab527 NER example: fix divisions by zero
szha merged pull request #15068: NER example: fix divisions by zero
URL: https://github.com/apache/incubator-mxnet/pull/15068
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asitstands edited a comment on issue #10738: python build (with cython) seems
broken in linux (python3)
URL:
https://github.com/apache/incubator-mxnet/issues/10738#issuecomment-496361446
This issue may have been fixed in the latest master. Would you check the
latest master?
Also see [t
asitstands commented on issue #10738: python build (with cython) seems broken
in linux (python3)
URL:
https://github.com/apache/incubator-mxnet/issues/10738#issuecomment-496361446
This issue may have been fixed in the latest master. Would you check the
latest master?
git-ness commented on issue #14943: share java samples of mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/14943#issuecomment-496360194
I run the project in Intellij, load the browser, upload the same image
provided in the readme and it's not working like I expect it to. Here's
unaplugin removed a comment on issue #7631: windows
MXNET_CUDNN_AUTOTUNE_DEFAULT = 0 no work.
URL:
https://github.com/apache/incubator-mxnet/issues/7631#issuecomment-496338863
Same on Ubuntu16.04 LTS & mxnet-cuda90 with version 1.4.1
---
access2rohit commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r287910956
##
File path: tests/nightly/test_large_array.py
##
@@ -2
access2rohit closed pull request #14296: [WIP]: ensure when one dimension is
zero the shape is inferred
URL: https://github.com/apache/incubator-mxnet/pull/14296
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unaplugin commented on issue #7631: windows MXNET_CUDNN_AUTOTUNE_DEFAULT = 0 no
work.
URL:
https://github.com/apache/incubator-mxnet/issues/7631#issuecomment-496338863
Same on Ubuntu16.04 LTS & mxnet-cuda90 with version 1.4.1
---
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marcoabreu pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new f9bab68 Bump the publish
ThomasDelteil commented on issue #14357: [Bug] Batchnorm running_var behaves
differently when using gpu vs. cpu
URL:
https://github.com/apache/incubator-mxnet/issues/14357#issuecomment-496323814
This bug is still present in 1.4.1, the batchnorm operator does not support
training on CPU. T
stu1130 opened a new pull request #15082: Update CUDA 10.1 doc
URL: https://github.com/apache/incubator-mxnet/pull/15082
## Description ##
add CUDA 10.1 related doc
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [x] Changes
stu1130 commented on issue #14851: Pylint Error Fixes
URL:
https://github.com/apache/incubator-mxnet/issues/14851#issuecomment-496314525
@cchung100m Thanks. I'll need to take a look at those functions that have
'unbalanced-tuple-unpacking' warning. You could first deal with 'raise' &
'no-
stu1130 edited a comment on issue #14851: Pylint Error Fixes
URL:
https://github.com/apache/incubator-mxnet/issues/14851#issuecomment-496314525
@cchung100m Thanks. I'll need to take a look at those functions that have
'unbalanced-tuple-unpacking' warning once I have time. You could first d
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marcoabreu pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 72919bd Bump the publish
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marcoabreu pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
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szha opened a new pull request #15081: fix gluon bi-rnn cell single step unroll
URL: https://github.com/apache/incubator-mxnet/pull/15081
## Description ##
fix gluon bi-rnn cell single step unroll bug. resolves #15062
## Checklist ##
### Essentials ###
Please feel free to re
szha commented on issue #15062: Bug in BidirectionalCell for imperative mode
when time_step is 1
URL:
https://github.com/apache/incubator-mxnet/issues/15062#issuecomment-496284978
The problem is in the inconsistent behavior of split, where if the number of
splits is 1 it returns a single
szha commented on issue #14973: [MXNET-1404] Added the GPU memory profiler
URL: https://github.com/apache/incubator-mxnet/pull/14973#issuecomment-496267391
This is because the current approach identifies the allocation source by
naming every NDArray from the frontend. The quoted examples in
lanking520 commented on issue #15067: CachedOp performance regression
URL:
https://github.com/apache/incubator-mxnet/issues/15067#issuecomment-496262014
> We have a PR to improve CachedOP recently, #14931, I am not sure if this
cause the issue.
> Do you mind take a try?
Will do a
lanking520 commented on issue #15067: CachedOp performance regression
URL:
https://github.com/apache/incubator-mxnet/issues/15067#issuecomment-496261955
> So same benchmark with `hybridize(static_alloc = True, static_shape =
True)` got different performance trend on different machines ?
roywei commented on a change in pull request #15072: bump up version from 1.5.0
to 1.6.0 on master
URL: https://github.com/apache/incubator-mxnet/pull/15072#discussion_r287828544
##
File path: julia/NEWS.md
##
@@ -15,7 +15,7 @@
-# v1.5.0 (#TBD)
+# v1.6.0 (#TBD)
Re
roywei commented on a change in pull request #15072: bump up version from 1.5.0
to 1.6.0 on master
URL: https://github.com/apache/incubator-mxnet/pull/15072#discussion_r287828521
##
File path: contrib/clojure-package/README.md
##
@@ -137,7 +137,7 @@ With this option, you w
ArmageddonKnight commented on issue #14973: [MXNET-1404] Added the GPU memory
profiler
URL: https://github.com/apache/incubator-mxnet/pull/14973#issuecomment-496244249
@szha I am afraid that there is some serious misunderstanding going on. For
all the MXNet benchmarks we have examined so f
kaivu1999 removed a comment on issue #9392: Official version of MobileNet
pretrained model and .json file
URL:
https://github.com/apache/incubator-mxnet/issues/9392#issuecomment-496227740
> Sorry, my bad.
>
> ```python
> net = mx.gluon.model_zoo.vision.mobilenet1_0(pretrained=Tru
kaivu1999 edited a comment on issue #9392: Official version of MobileNet
pretrained model and .json file
URL:
https://github.com/apache/incubator-mxnet/issues/9392#issuecomment-496227740
> Sorry, my bad.
>
> ```python
> net = mx.gluon.model_zoo.vision.mobilenet1_0(pretrained=True
kaivu1999 commented on issue #9392: Official version of MobileNet pretrained
model and .json file
URL:
https://github.com/apache/incubator-mxnet/issues/9392#issuecomment-496227740
> Sorry, my bad.
>
> ```python
> net = mx.gluon.model_zoo.vision.mobilenet1_0(pretrained=True)
>
407257625 commented on issue #14116: Failure in generated op.h in version 1.3.1
URL:
https://github.com/apache/incubator-mxnet/issues/14116#issuecomment-496223687
@Mark-Dai can share the generated sh , such as " python
OpWrapperGenerator.py xxx"
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marcoabreu pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
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Mark-Dai commented on issue #14116: Failure in generated op.h in version 1.3.1
URL:
https://github.com/apache/incubator-mxnet/issues/14116#issuecomment-496174336
this problem generates when build the cpp examples using visual studio, e.g
Alexnet. I solved this by change the op.h in the ins
mxnet-label-bot commented on issue #15080: tensorrt.tensorrt_bind results
NDArray with NaN
URL:
https://github.com/apache/incubator-mxnet/issues/15080#issuecomment-496152881
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
th
srijiths opened a new issue #15080: tensorrt.tensorrt_bind results NDArray with
NaN
URL: https://github.com/apache/incubator-mxnet/issues/15080
## Description
Trying to convert ArcFace [https://github.com/deepinsight/insightface](url)
using tensorrt.bind , output shape is (512,) coming
perdasilva commented on a change in pull request #15051: CD Framework + static
binary release
URL: https://github.com/apache/incubator-mxnet/pull/15051#discussion_r287582408
##
File path: ci/cd/Jenkinsfile_cd_pipeline
##
@@ -0,0 +1,69 @@
+// -*- mode: groovy -*-
+
+// Lice
hzahn opened a new issue #15079: Conv3D crashes with layout NDHWC
URL: https://github.com/apache/incubator-mxnet/issues/15079
## Description
Conv3D with layout NDHWC crashes although the documentation indicates that
this layout is supported.
## Environment info (Required)
teste
mxnet-label-bot commented on issue #15079: Conv3D crashes with layout NDHWC
URL:
https://github.com/apache/incubator-mxnet/issues/15079#issuecomment-496133148
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the appropria
ZhennanQin opened a new issue #15078: Naive engine produce incorrect result on
MKLDNN backend
URL: https://github.com/apache/incubator-mxnet/issues/15078
Reproducible test:
```
import numpy as np
import mxnet as mx
from mxnet import gluon, nd, image
from mxnet.gluon.d
mxnet-label-bot commented on issue #15078: Naive engine produce incorrect
result on MKLDNN backend
URL:
https://github.com/apache/incubator-mxnet/issues/15078#issuecomment-496111547
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some label
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marcoabreu pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 719068a Bump the publish
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