leezu commented on a change in pull request #18678:
URL: https://github.com/apache/incubator-mxnet/pull/18678#discussion_r451974155
##
File path: ci/docker/runtime_functions.sh
##
@@ -762,6 +765,7 @@ build_ubuntu_gpu_cuda101_cudnn7_make() {
make \
szha commented on a change in pull request #18678:
URL: https://github.com/apache/incubator-mxnet/pull/18678#discussion_r451967546
##
File path: ci/docker/runtime_functions.sh
##
@@ -762,6 +765,7 @@ build_ubuntu_gpu_cuda101_cudnn7_make() {
make \
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TaoLv merged pull request #18654:
URL: https://github.com/apache/incubator-mxnet/pull/18654
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mxnet-bot commented on pull request #18678:
URL: https://github.com/apache/incubator-mxnet/pull/18678#issuecomment-655885778
Hey @jinboci , Thanks for submitting the PR
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jinboci opened a new pull request #18678:
URL: https://github.com/apache/incubator-mxnet/pull/18678
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR
ChaiBapchya commented on pull request #18664:
URL: https://github.com/apache/incubator-mxnet/pull/18664#issuecomment-655881954
@ys2843 any update?
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ChaiBapchya commented on pull request #18677:
URL: https://github.com/apache/incubator-mxnet/pull/18677#issuecomment-655880685
Once this is merged in master, I'll subsequently cherry-pick it into other
branches which use private S3 buckets for Jetpack files
ChaiBapchya opened a new pull request #18677:
URL: https://github.com/apache/incubator-mxnet/pull/18677
## Description ##
Fixes #18637
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [x] Changes are complete (i.e. I
mxnet-bot commented on pull request #18677:
URL: https://github.com/apache/incubator-mxnet/pull/18677#issuecomment-655880493
Hey @ChaiBapchya , Thanks for submitting the PR
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wkcn commented on pull request #18654:
URL: https://github.com/apache/incubator-mxnet/pull/18654#issuecomment-655848597
@mxnet-bot run ci [unix-gpu]
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wkcn edited a comment on issue #18673:
URL:
https://github.com/apache/incubator-mxnet/issues/18673#issuecomment-655847548
It is a bug and we have fixed it in PR #18500 #18517 #18518
Could you please try the latest version of MXNet, like MXNet 1.7 or MXNet
2.0 in
wkcn edited a comment on issue #18673:
URL:
https://github.com/apache/incubator-mxnet/issues/18673#issuecomment-655847548
It is a bug and we have fixed it. PR #18500 #18517 #18518
Could you please try the latest version of MXNet, like MXNet 1.7 or MXNet
2.0 in
wkcn commented on issue #18673:
URL:
https://github.com/apache/incubator-mxnet/issues/18673#issuecomment-655847548
It is a bug and we have fixed it.
Could you please try the latest version of MXNet, like MXNet 1.7 or MXNet
2.0 in `https://dist.mxnet.io/python`?
wkcn commented on pull request #17975:
URL: https://github.com/apache/incubator-mxnet/pull/17975#issuecomment-655846690
Hi @stu1130 , could you please take a review ? Thank you!
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mxnet-bot commented on pull request #18676:
URL: https://github.com/apache/incubator-mxnet/pull/18676#issuecomment-655826832
Hey @stu1130 , Thanks for submitting the PR
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stu1130 opened a new pull request #18676:
URL: https://github.com/apache/incubator-mxnet/pull/18676
Backport [Improvement] Invoke mkldnn and cudnn BatchNorm when axis != 1 v1.7x
The PR could be part of 1.7.1 release.
This
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szha merged pull request #18504:
URL: https://github.com/apache/incubator-mxnet/pull/18504
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sandeep-krishnamurthy commented on pull request #18504:
URL: https://github.com/apache/incubator-mxnet/pull/18504#issuecomment-655810519
@szha @eric-haibin-lin - Can you please help review/merge with this PR?
Thank you.
mxnet-bot commented on pull request #18675:
URL: https://github.com/apache/incubator-mxnet/pull/18675#issuecomment-655805595
Hey @Kh4L , Thanks for submitting the PR
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Kh4L opened a new pull request #18675:
URL: https://github.com/apache/incubator-mxnet/pull/18675
## Description ##
Importing an ONNX model was inserting Pad operators before Convolutions to
support asymmetrical padding.
This was useful for Convolutions with asymettrical padding
ys2843 commented on pull request #18674:
URL: https://github.com/apache/incubator-mxnet/pull/18674#issuecomment-655769287
@mxnet-label-bot add [Website, pr-awaiting-review]
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mxnet-bot commented on pull request #18674:
URL: https://github.com/apache/incubator-mxnet/pull/18674#issuecomment-655767714
Hey @ys2843 , Thanks for submitting the PR
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ys2843 opened a new pull request #18674:
URL: https://github.com/apache/incubator-mxnet/pull/18674
## Description ##
There was a previous fix to anchor shifts issue specific to `contribution`
page, but I found more pages are using anchors and having the same issue. In
this PR, the fix
zhreshold commented on issue #18672:
URL:
https://github.com/apache/incubator-mxnet/issues/18672#issuecomment-655701277
in 2.0, if `try_nopython` is set to false, then the behavior is the same as
1.0
if `try_nopython` is true, dataset has to be converted to ndarray and the
nested
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sammieghabra opened a new issue #18673:
URL: https://github.com/apache/incubator-mxnet/issues/18673
## Description
running mean and running var dont get updated when scale and center are false
### Error Message
There is no error message, but the parameters `running_mean` and
sxjscience commented on issue #18672:
URL:
https://github.com/apache/incubator-mxnet/issues/18672#issuecomment-655658852
I can reproduce this failure message:
```python
import mxnet as mx
import numpy as np
mx.npx.set_np()
a = np.ndarray(shape=(128,)) # similar to one
rondogency commented on issue #18672:
URL:
https://github.com/apache/incubator-mxnet/issues/18672#issuecomment-655656985
@eric-haibin-lin @sxjscience @zhreshold FYI
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rondogency opened a new issue #18672:
URL: https://github.com/apache/incubator-mxnet/issues/18672
## Description
Currently we cannot use 2.0 Dataloader to train BERT, and the reason is 2.0
Dataloader is not flexible to support the data schema used by GluonNLP BERT,
specifically if
leezu commented on issue #18637:
URL:
https://github.com/apache/incubator-mxnet/issues/18637#issuecomment-655643843
Thank you @ChaiBapchya!
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ChaiBapchya commented on issue #18637:
URL:
https://github.com/apache/incubator-mxnet/issues/18637#issuecomment-655643337
Yes working on that fix.
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leezu commented on issue #18637:
URL:
https://github.com/apache/incubator-mxnet/issues/18637#issuecomment-655641151
Nvidia helped to make the files available publicly:
```
https://repo.download.nvidia.com/jetson/x86_64/pool/r32.4/c/cuda/cuda-cross-aarch64-10-2_10.2.89-1_all.deb
ys2843 edited a comment on pull request #18658:
URL: https://github.com/apache/incubator-mxnet/pull/18658#issuecomment-653696502
@mxnet-label-bot update [Website]
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ys2843 edited a comment on pull request #18664:
URL: https://github.com/apache/incubator-mxnet/pull/18664#issuecomment-653923786
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fhieber commented on issue #18662:
URL:
https://github.com/apache/incubator-mxnet/issues/18662#issuecomment-655632151
Point 3: sacrebleu 1.4.10 requires a newer version of Sockeye. We recently
published a newer version on pypi that is compatible with sacrebleu 1.4.10.
szha commented on issue #18662:
URL:
https://github.com/apache/incubator-mxnet/issues/18662#issuecomment-655628544
on 1.
> I tried with 5 GPUs and reduced the batch size to 200
due to the hardware and programming model design in CUDA, it's a good idea
to always use a multiple of
mxnet-bot commented on pull request #18319:
URL: https://github.com/apache/incubator-mxnet/pull/18319#issuecomment-655539182
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AntiZpvoh commented on pull request #18319:
URL: https://github.com/apache/incubator-mxnet/pull/18319#issuecomment-655539077
@mxnet-bot run ci [centos-cpu]
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cosmincatalin opened a new issue #18671:
URL: https://github.com/apache/incubator-mxnet/issues/18671
I am using the Scala 2.11 binding in my project (爛 for #18655) and keep
getting memory leak warnings. This happens for both the MacOS and Linux builds.
It is not clear to me if these
renjiahao0928 commented on issue #13301:
URL:
https://github.com/apache/incubator-mxnet/issues/13301#issuecomment-655508090
> I'm closing now that there's a workaround.
Could you please tell me how to solve the question,I got the same error.
Masquerade0097 commented on issue #18667:
URL:
https://github.com/apache/incubator-mxnet/issues/18667#issuecomment-655500718
@leezu Thanks for your reply.
> For now, you can't use the pretrained models directly on s390x
architecture but you'd need some workaround where you load
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mxnet-bot commented on pull request #18670:
URL: https://github.com/apache/incubator-mxnet/pull/18670#issuecomment-655426031
Hey @jinboci , Thanks for submitting the PR
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jinboci opened a new pull request #18670:
URL: https://github.com/apache/incubator-mxnet/pull/18670
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR
jinboci closed pull request #18670:
URL: https://github.com/apache/incubator-mxnet/pull/18670
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MrRaghav commented on issue #18662:
URL:
https://github.com/apache/incubator-mxnet/issues/18662#issuecomment-655415742
Hello, thank you for your suggestion. Actually, I've started working on
machine translation just few days back and wanted to try all the possible
scenarios before
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