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jinboci commented on a change in pull request #18526:
URL: https://github.com/apache/incubator-mxnet/pull/18526#discussion_r439231444
##
File path: contrib/tvmop/compile.py
##
@@ -152,6 +152,12 @@ def get_cuda_arch(arch):
# we create libtvmop.o first, which gives us chance
eric-haibin-lin commented on issue #18543:
URL:
https://github.com/apache/incubator-mxnet/issues/18543#issuecomment-643084475
May be enabled in the unified executor
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sxjscience commented on issue #18543:
URL:
https://github.com/apache/incubator-mxnet/issues/18543#issuecomment-643081198
@szha @yzhliu @eric-haibin-lin Do you think it's a valid 2.0 item? PyTorch
has nice support of gradient checkpointing:
https://pytorch.org/docs/stable/checkpoint.html
sxjscience edited a comment on issue #18543:
URL:
https://github.com/apache/incubator-mxnet/issues/18543#issuecomment-643081198
@szha @yzhliu @eric-haibin-lin @leezu Do you think it's a valid 2.0 item?
PyTorch has nice support of gradient checkpointing:
https://pytorch.org/docs/stable/ch
sxjscience opened a new issue #18543:
URL: https://github.com/apache/incubator-mxnet/issues/18543
The backward mirroring functionality, which can greatly reduce the memory
requirement in the training deep networks, is missing in the Gluon interface.
Currently, we have the support in
mikethreeacer commented on issue #18540:
URL:
https://github.com/apache/incubator-mxnet/issues/18540#issuecomment-643077401
Thanks a lot!
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mikethreeacer closed issue #18540:
URL: https://github.com/apache/incubator-mxnet/issues/18540
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wkcn commented on issue #18540:
URL:
https://github.com/apache/incubator-mxnet/issues/18540#issuecomment-643061214
The cause is that nd.stack doesn't support zero-shape array.
replacing `self.label` with `self.label = [nd.array([0]) if x.split('/')[-1]
== 'test' else nd.array([1]) for x
wkcn edited a comment on issue #18540:
URL:
https://github.com/apache/incubator-mxnet/issues/18540#issuecomment-643059287
could you please print the image.shape and label.shape in __getitem__?
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wkcn commented on issue #18540:
URL:
https://github.com/apache/incubator-mxnet/issues/18540#issuecomment-643059287
could you please print the image.shape and label.shape in __getitem__.
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mxnet-bot commented on pull request #18542:
URL: https://github.com/apache/incubator-mxnet/pull/18542#issuecomment-643049961
Hey @jinboci , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following co
jinboci opened a new pull request #18542:
URL: https://github.com/apache/incubator-mxnet/pull/18542
## Description ##
(Brief description on what this PR is about)
Restoring TVMOp tests. #18204 #18526 #17840
## Checklist ##
### Essentials ###
Please feel free to remove ina
ciyongch commented on pull request #18478:
URL: https://github.com/apache/incubator-mxnet/pull/18478#issuecomment-643048198
Hi @shza, the md files that missing license header were updated, but the md
files under `.github/` folder are not added due to the new header will break
the github te
mxnet-bot commented on pull request #18541:
URL: https://github.com/apache/incubator-mxnet/pull/18541#issuecomment-643047235
Hey @ciyongch , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following c
ciyongch opened a new pull request #18541:
URL: https://github.com/apache/incubator-mxnet/pull/18541
## Description ##
Add missing ASF license header for md files.
@szha @ChaiBapchya @TaoLv @leezu
This is an au
yzhliu commented on a change in pull request #18526:
URL: https://github.com/apache/incubator-mxnet/pull/18526#discussion_r439188172
##
File path: src/c_api/c_api.cc
##
@@ -1363,7 +1363,15 @@ int MXGetVersion(int *out) {
#if MXNET_USE_TVM_OP
int MXLoadTVMOp(const char *libpat
mikethreeacer opened a new issue #18540:
URL: https://github.com/apache/incubator-mxnet/issues/18540
## Description
I tried to use custom dataset with dataloader to train a model.
The error appears when use dataloader to get a batch.
Images are loaded in dataset correctly but all i
wkcn edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643015988
I'm trying to use `ninja` to build MXNet 2.0 (the master branch) on my
laptop computer (16 GB mem + 8GB virtual mem). I will update the log later.
```bash
cma
wkcn edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643015988
I'm trying to use `ninja` to build MXNet 2.0 (the master branch) on my
laptop computer (16 GB mem + 8GB virtual mem). I will update the log later.
```bash
cma
wkcn edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643015988
I'm trying to use `ninja` to build MXNet 2.0 (the master branch) on my
laptop computer (16 GB mem + 8GB virtual mem). I will update the log later.
```bash
cma
wkcn edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643017151
@leezu
Yes, gcc 10.1.0, i7-7500u (2 cores 4 threads), MXNet(master,
1bf881f381f91b157a26d9beddcaa8f4960cc038)
wkcn commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643017151
@leezu
Yes, gcc 10.1.0, i7-7500u (2 cores 4 theads), MXNet(master,
1bf881f381f91b157a26d9beddcaa8f4960cc038)
modeste2015 closed issue #18539:
URL: https://github.com/apache/incubator-mxnet/issues/18539
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modeste2015 commented on issue #18539:
URL:
https://github.com/apache/incubator-mxnet/issues/18539#issuecomment-643016634
thank you @wkcn
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leezu commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643016517
Thanks @wkcn. I'll report the same with gcc7. You are using gcc10 right?
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wkcn edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643015988
I'm trying to use `ninja` to build MXNet 2.0 (the master branch) on my
laptop computer (16 GB mem + 8GB virtual mem). I will update the log later.
```bash
cma
wkcn commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643015988
I'm trying to use `ninja` to build MXNet 2.0 (the master branch) on my
laptop (16 GB mem + 8GB virtual mem). I will update the log later.
```bash
cmake -GNinja -DUS
leezu edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643014864
Doing a single-process build of 1.7.x branch (`ninja -j1`) just costs around
2 GB memory at maximum.
Child user: 4167.479 s
Child sys : 159.497 s
Child w
leezu edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643014864
Doing a single-threaded build of 1.7.x branch (`ninja -j1`) just costs
around 2 GB memory at maximum.
Child user: 4167.479 s
Child sys : 159.497 s
Child
leezu commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-643014864
Doing a single-threaded build (`ninja -j1`) just costs around 2 GB memory at
maximum.
Child user: 4167.479 s
Child sys : 159.497 s
Child wall: 4327.964 s
Chi
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wkcn commented on issue #18539:
URL:
https://github.com/apache/incubator-mxnet/issues/18539#issuecomment-643003657
Another solution: add `mx.sym.MakeLoss`
```python
import mxnet as mx
a = mx.sym.Variable('a')
b = mx.sym.Variable('b')
# c is not a loss function symbol
c
wkcn commented on issue #18539:
URL:
https://github.com/apache/incubator-mxnet/issues/18539#issuecomment-643003111
Hi @modeste2015 ,
In the line `texec.backward(out)`, the argument of `textec.backward` is the
`out_grads`. It should be `texec.backward(out.ones_like())`
szha commented on pull request #18478:
URL: https://github.com/apache/incubator-mxnet/pull/18478#issuecomment-642996783
> 1) files missing a license header
I think all cases fall under contribution in apache so I think we can add
apache licenses to them.
---
wkcn commented on pull request #18504:
URL: https://github.com/apache/incubator-mxnet/pull/18504#issuecomment-642987920
@szha
Thanks for your suggestion!
I agree. I will update this PR after replacing `mkldnn_off` and `cudnn_off`
attributes with the environment variables.
-
leezu edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642980960
I measure the overall memory consumption during compilation using linux
control group feature. https://github.com/gsauthof/cgmemtime
Results are
v1.7.x
leezu edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642980960
Based on my preliminary test, the memory issue is present in 1.7.x @ciyongch
I measure the overall memory consumption during compilation using linux
control group
leezu commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642980960
Based on my preliminary test, the memory issue is present in 1.7.x @ciyongch
I measure the overall memory consumption during compilation using linux
control group feature
ys2843 closed issue #18422:
URL: https://github.com/apache/incubator-mxnet/issues/18422
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yzhliu closed issue #18281:
URL: https://github.com/apache/incubator-mxnet/issues/18281
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yzhliu commented on issue #18281:
URL:
https://github.com/apache/incubator-mxnet/issues/18281#issuecomment-642931604
closed by #18523
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aaronmarkham pushed a change to branch master
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from a361f33 revert changes causing cd failures (#18533)
add 1bf881f Fix Slow Site Loading Speed par
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aaronmarkham merged pull request #18512:
URL: https://github.com/apache/incubator-mxnet/pull/18512
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mxnet-bot commented on pull request #18413:
URL: https://github.com/apache/incubator-mxnet/pull/18413#issuecomment-642922344
Jenkins CI successfully triggered : [unix-cpu, website]
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leezu commented on pull request #18413:
URL: https://github.com/apache/incubator-mxnet/pull/18413#issuecomment-642922279
@mxnet-bot run ci [website, unix-cpu]
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modeste2015 opened a new issue #18539:
URL: https://github.com/apache/incubator-mxnet/issues/18539
`mxnet.executor.backward` gives false values of gradient. the gradient of
`a` must be equal to `[2 2]` and the gradient of `b` must equal to `[1 1]`.
mxnet.executor.backward gives instead `[
sxjscience commented on pull request #18495:
URL: https://github.com/apache/incubator-mxnet/pull/18495#issuecomment-642877274
Is it possible to re-implement without mshadow?
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leezu edited a comment on issue #18471:
URL:
https://github.com/apache/incubator-mxnet/issues/18471#issuecomment-642792473
Based on https://github.com/apache/incubator-mxnet/pull/18513 we can do
portable and compliant binary releases later in principle. But this will
require compiling the
eric-haibin-lin opened a new pull request #18538:
URL: https://github.com/apache/incubator-mxnet/pull/18538
## Description ##
#17676
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts with [MXNET-$JIRA_I
mxnet-bot commented on pull request #18538:
URL: https://github.com/apache/incubator-mxnet/pull/18538#issuecomment-642846407
Hey @eric-haibin-lin , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the foll
sandeep-krishnamurthy commented on issue #18509:
URL:
https://github.com/apache/incubator-mxnet/issues/18509#issuecomment-642833614
I tested with MXNet 1.5.0 / 1.6.0 and unfortunately, the issue exists there
as well.
This is a bug that we need to be fixed. But, I think this is not a blo
sammieghabra commented on issue #5888:
URL:
https://github.com/apache/incubator-mxnet/issues/5888#issuecomment-642821654
@zhanghang1989 in the current BatchNorm, is running_mean and running_var
synchronized across all GPUs? What about in the SyncBatchNorm?
---
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URL: https://github.com/apache/incubator-mxnet/pull/18512#issuecomment-642805235
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ys2843 edited a comment on pull request #18512:
URL: https://github.com/apache/incubator-mxnet/pull/18512#issuecomment-641005181
@mxnet-bot run ci [unix-cpu ]
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leezu commented on a change in pull request #18445:
URL: https://github.com/apache/incubator-mxnet/pull/18445#discussion_r438926314
##
File path: ci/docker/install/requirements
##
@@ -24,16 +24,19 @@ requests>=2.20.0,<3
graphviz<0.9.0,>=0.8.1
# Optional dependencies
-onnx==
leezu edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642785535
I disagree. Official MXNet releases are source releases. At this point in
time, there exist 0 compliant binary releases.
It's very important that we don't introduce
leezu edited a comment on issue #18536:
URL:
https://github.com/apache/incubator-mxnet/issues/18536#issuecomment-642796008
Hi @woreom, sorry for the issues you face. For the memory issues, you need
to setup swap. It's mentioned in the guide you're following.
But in general it's bett
leezu commented on issue #18536:
URL:
https://github.com/apache/incubator-mxnet/issues/18536#issuecomment-642796008
For the memory issues, you need to setup swap. It's mentioned in the guide
you're following.
But in general it's better to just cross compile on a powerful machine.
T
SAmmarAbbas removed a comment on issue #8438:
URL:
https://github.com/apache/incubator-mxnet/issues/8438#issuecomment-642090025
Any updates on if it is possible to initialize a hybridized parameter with
an ndarray?
This is
leezu commented on issue #18471:
URL:
https://github.com/apache/incubator-mxnet/issues/18471#issuecomment-642792473
Based on https://github.com/apache/incubator-mxnet/pull/18513 we can do
portable and compliant binary releases later in principle. But this will
require compiling the toolch
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lausen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 743bbcb unify impl (#18523)
add a361f33 revert changes causing cd failures (#18533)
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from 743bbcb unify impl (#18523)
add a361f33 revert changes causing cd failures (#18533)
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add a361f33 revert changes causing cd failures (#18533)
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leezu edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642785535
I disagree. Official MXNet releases are source releases. At this point in
time, there exist 0 compliant binary releases.
It's very important that we don't introduce
leezu commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642785535
I disagree. Official MXNet releases are source releases. At this point in
time, there exist 0 compliant binary releases.
It's very important that we don't introduce regres
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lausen pushed a change to branch master
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from 743bbcb unify impl (#18523)
add a361f33 revert changes causing cd failures (#18533)
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from 743bbcb unify impl (#18523)
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leezu merged pull request #18533:
URL: https://github.com/apache/incubator-mxnet/pull/18533
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eric-haibin-lin commented on pull request #18480:
URL: https://github.com/apache/incubator-mxnet/pull/18480#issuecomment-642753106
I guess it's fine. The existing models in the model zoo are not trained with
the numpy API anyway
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sxjscience pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from fb73de7 remove mx.module.* APIs for MXNet 2.0 (#18525)
add 743bbcb unify impl (#18523)
No new re
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sxjscience pushed a change to branch master
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from fb73de7 remove mx.module.* APIs for MXNet 2.0 (#18525)
add 743bbcb unify impl (#18523)
No new re
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sxjscience pushed a change to branch master
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from fb73de7 remove mx.module.* APIs for MXNet 2.0 (#18525)
add 743bbcb unify impl (#18523)
No new re
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from fb73de7 remove mx.module.* APIs for MXNet 2.0 (#18525)
add 743bbcb unify impl (#18523)
No new re
sxjscience merged pull request #18523:
URL: https://github.com/apache/incubator-mxnet/pull/18523
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mseth10 commented on pull request #18533:
URL: https://github.com/apache/incubator-mxnet/pull/18533#issuecomment-642723040
@leezu please help merge
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wkcn commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642689354
@woreom It seems that the pre-built MXNet 1.5 package will not be uploaded
because of ASF licensing policy, but pre-built MXNet 1.7 and 2.0+ on ARM may be
uploaded.
Be
wkcn commented on issue #18471:
URL:
https://github.com/apache/incubator-mxnet/issues/18471#issuecomment-642683388
Hi @leezu , is it possible to release pre-built MXNet pacakge on ARM?
It seems that the older release could not be re-uploaded because of ASF
licensing policy, but is i
ciyongch commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642674239
> I agree that we don't need to tag it a block issue, and the issue can be
fixed after MXNet 1.7 releases.
>
> After the problem addressed, we can backport the PR t
mxnet-bot commented on pull request #18537:
URL: https://github.com/apache/incubator-mxnet/pull/18537#issuecomment-642655803
Hey @RuRo , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following comma
RuRo opened a new pull request #18537:
URL: https://github.com/apache/incubator-mxnet/pull/18537
## Description ##
The current `Deferred initialization` exception messages are not very
helpful. They include information about what shapes didn't match, but there is
no information about wh
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aaronmarkham pushed a commit to branch asf-site
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woreom opened a new issue #18536:
URL: https://github.com/apache/incubator-mxnet/issues/18536
## Description
Okay this is the following of #18471 , I used the new instruction but I get
an error still
the latest would be `virtual memory exhausted: Cannot allocate memory ninja:
build s
woreom edited a comment on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642594288
#18471 I did but @leezu closed it. I will open another one
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woreom edited a comment on issue #18501:
URL:
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@wkcn #18471 I did but @leezu closed it. I will open another one
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woreom commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642594288
#18741 I did but @leezu closed it. I will open another one
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wkcn commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642591967
Hi @woreom , could you please create a issue about requesting pre-build
MXNet on ARM?
MXNet consists of ARM build and test (#18264 , #18058 ). I don't know
whether the
wkcn commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642586799
Hi @ciyongch , I agree that we don't need to tag it a block issue, and the
issue can be fixed after MXNet 1.7 releases.
After the problem addressed, we can backport the
QueensGambit closed pull request #17827:
URL: https://github.com/apache/incubator-mxnet/pull/17827
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QueensGambit commented on pull request #17827:
URL: https://github.com/apache/incubator-mxnet/pull/17827#issuecomment-642581449
@RuRo I created a new PR in
https://github.com/apache/incubator-mxnet/pull/18535.
This is an aut
QueensGambit opened a new pull request #18535:
URL: https://github.com/apache/incubator-mxnet/pull/18535
## Description ##
This PR fixes the slice operator export from MXNet into ONNX.
@MoritzMaxeiner reported this problem already: **Incorrect ONNX export of
SliceChannel** https:/
mxnet-bot commented on pull request #18535:
URL: https://github.com/apache/incubator-mxnet/pull/18535#issuecomment-642580300
Hey @QueensGambit , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the followi
woreom commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-642577363
it would be great if you could make a prebuild that works on a raspberry pi
with armv7 because I tried to build all versions from 1.2.1 to 1.6.0 and failed.
--
RuRo edited a comment on pull request #17827:
URL: https://github.com/apache/incubator-mxnet/pull/17827#issuecomment-642412340
Unfortunately, it seems, that this doesn't clear the codeowners, so the PR
still requires the review of 10 different maintainers. You'll probably have to
create a
RuRo edited a comment on pull request #17827:
URL: https://github.com/apache/incubator-mxnet/pull/17827#issuecomment-642412340
The last "added ONNX unit test export" commit doesn't seem correct, since it
updates the submodules. I think, you can just drop this commit, since there are
no act
mxnet-bot commented on pull request #18526:
URL: https://github.com/apache/incubator-mxnet/pull/18526#issuecomment-642471091
Jenkins CI successfully triggered : [clang, edge, sanity, unix-cpu,
windows-cpu, centos-cpu, miscellaneous, website, windows-gpu, centos-gpu,
unix-gpu]
---
jinboci commented on pull request #18526:
URL: https://github.com/apache/incubator-mxnet/pull/18526#issuecomment-642470982
@mxnet-bot run ci [all]
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mxnet-bot commented on pull request #18523:
URL: https://github.com/apache/incubator-mxnet/pull/18523#issuecomment-642465886
Jenkins CI successfully triggered : [unix-cpu]
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