DickJC123 commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457797096
##
File path: src/common/cuda/rtc.cc
##
@@ -0,0 +1,246 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
szha edited a comment on pull request #18721:
URL: https://github.com/apache/incubator-mxnet/pull/18721#issuecomment-661559477
Thanks for elaborating. Would you update the document here to reflect this?
https://cwiki.apache.org/confluence/display/MXNET/Development+Process
szha edited a comment on pull request #18721:
URL: https://github.com/apache/incubator-mxnet/pull/18721#issuecomment-661559477
Thanks for elaborating. Would you update the document here to reflect this?
https://cwiki.apache.org/confluence/display/MXNET/Development+Process
mseth10 commented on issue #18759:
URL:
https://github.com/apache/incubator-mxnet/issues/18759#issuecomment-661561160
@szha yeah it should be possible now that NVIDIA has shared their cross
compilation toolchain on apt server.
szha commented on pull request #18721:
URL: https://github.com/apache/incubator-mxnet/pull/18721#issuecomment-661559477
Thanks for elaborating. Would you update the document here to reflect this?
https://cwiki.apache.org/confluence/display/MXNET/Development+Process
szha commented on issue #18764:
URL:
https://github.com/apache/incubator-mxnet/issues/18764#issuecomment-661557773
> Tried nightly releases from PyPi
Tried releases [stable & nightly] from repo.mxnet.io
Tried non mkl & mkl releases for PyPi as well as repo.mxnet.io
What are
szha commented on issue #18759:
URL:
https://github.com/apache/incubator-mxnet/issues/18759#issuecomment-661557133
@mseth10 @leezu would we be able to offer a wheel through cross compilation?
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szha commented on issue #18751:
URL:
https://github.com/apache/incubator-mxnet/issues/18751#issuecomment-661554824
Yes I think we definitely should. Otherwise we'd expect the same confusion
as in this issue.
This is an
ChaiBapchya opened a new issue #18764:
URL: https://github.com/apache/incubator-mxnet/issues/18764
## Description
Undefined symbol error upon importing horovod for stable release of mxnet on
PyPi
Related to https://github.com/apache/incubator-mxnet/issues/16193
### Error
ChaiBapchya commented on issue #16193:
URL:
https://github.com/apache/incubator-mxnet/issues/16193#issuecomment-661528792
It also fails for nightly
I bumped into the same issue for wheels found in repo.mxnet.io
```
pip install
DickJC123 commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457779449
##
File path: src/common/cuda/rtc.cc
##
@@ -0,0 +1,246 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
xidulu commented on pull request #18758:
URL: https://github.com/apache/incubator-mxnet/pull/18758#issuecomment-661522975
> Should we use https://pypi.org/project/notedown/ instead of committing the
raw notebook? Would you recommend integrating the example into the website as
well?
szha closed issue #16193:
URL: https://github.com/apache/incubator-mxnet/issues/16193
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apeforest opened a new issue #16193:
URL: https://github.com/apache/incubator-mxnet/issues/16193
The symbol _ZN5mxnet12on_enter_apiEPKc is missing from mxnet-cu100mkl
nightly and 1.5.1 package. Without it, horovod cannot run.
This symbol is available in mxnet-cu100 1.5.0 package.
leezu commented on issue #16193:
URL:
https://github.com/apache/incubator-mxnet/issues/16193#issuecomment-661501323
If it is broken in the stable version on pypi, it should be fixed. Can you
open a new issue about that if it's broken?
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leezu commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457769003
##
File path: src/common/cuda/rtc.cc
##
@@ -0,0 +1,246 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
leezu commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457769003
##
File path: src/common/cuda/rtc.cc
##
@@ -0,0 +1,246 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
mseth10 commented on issue #18759:
URL:
https://github.com/apache/incubator-mxnet/issues/18759#issuecomment-661492359
Please let me know how it goes.
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nabulsi commented on issue #18759:
URL:
https://github.com/apache/incubator-mxnet/issues/18759#issuecomment-661478691
Yes, these are the steps that I followed. As said, I also tried before to
cross compile and then use the generated library on the Jetson, but was getting
the same issue.
mseth10 commented on issue #18759:
URL:
https://github.com/apache/incubator-mxnet/issues/18759#issuecomment-661471097
Jetson Nano might need a higher swap memory (>20GB) and a very long time. I
built it on Jetson Xavier AGX and it still took a few hours.
Do you mean the following
nabulsi commented on issue #18759:
URL:
https://github.com/apache/incubator-mxnet/issues/18759#issuecomment-661461820
Hi @mseth10 . Thanks for working on the issue.
I just tried the method with the wheel that you mentioned. I also got the
same error message:
```
DickJC123 commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457754438
##
File path: src/common/cuda/rtc.cc
##
@@ -0,0 +1,246 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
TristonC commented on issue #18751:
URL:
https://github.com/apache/incubator-mxnet/issues/18751#issuecomment-661448168
@szha It may not affect real training for either CPU or GPU version as CPU
version does update the running mean and running var in the backward path.
Should we unify the
ChaiBapchya commented on issue #16193:
URL:
https://github.com/apache/incubator-mxnet/issues/16193#issuecomment-661446225
Nevermind, realized that nightly builds arent published to PyPi anymore. But
that leaves many people who consume binaries via PyPi to lose out on leveraging
horovod
mseth10 commented on issue #18759:
URL:
https://github.com/apache/incubator-mxnet/issues/18759#issuecomment-661444177
Hi @nabulsi , thanks for raising this issue. I have tested the instructions
([here](https://mxnet.apache.org/get_started/jetson_setup)) on building MXNet
on Jetson module
ChaiBapchya edited a comment on issue #16193:
URL:
https://github.com/apache/incubator-mxnet/issues/16193#issuecomment-661436918
Bumped into the same error for various pypi versions
```
mxnet-cu101
mxnet-cu101==1.6.0
mxnet-cu101==1.6.0b20191122
```
Repro steps
```
TristonC edited a comment on issue #18751:
URL:
https://github.com/apache/incubator-mxnet/issues/18751#issuecomment-661442792
In case anyone want to do a PyTorch comparison for CPU version:
```python
import torch
import torch.nn as nn
bn = nn.BatchNorm2d(3)
for _ in
TristonC commented on issue #18751:
URL:
https://github.com/apache/incubator-mxnet/issues/18751#issuecomment-661442792
In case anyone want to do a PyTorch comparison for CPU version:
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new 6bb3d72 Improve test seeding in
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ptrendx merged pull request #18762:
URL: https://github.com/apache/incubator-mxnet/pull/18762
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ChaiBapchya commented on issue #16193:
URL:
https://github.com/apache/incubator-mxnet/issues/16193#issuecomment-661436918
Bumped into the same error for
```
mxnet-cu101==1.6.0
```
Repro steps
```
virtualenv -p python3 mx16cu101
source mx16cu101/bin/activate
ChaiBapchya commented on issue #16193:
URL:
https://github.com/apache/incubator-mxnet/issues/16193#issuecomment-661437183
Can we re-open the issue @leezu @apeforest @szha
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leezu commented on pull request #18574:
URL: https://github.com/apache/incubator-mxnet/pull/18574#issuecomment-661421935
> not sure of what needs to be changed in ninja
you need to check what changed in the onnx-tensorrt submodule and update the
cmakelists.txt accordingly
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lausen pushed a change to branch master
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from 1aec483 Add qr backward for wide inputs ncols>nrows (#18757)
add a7c6606 Remove Makefile build
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from 1aec483 Add qr backward for wide inputs ncols>nrows (#18757)
add a7c6606 Remove Makefile build
leezu merged pull request #18721:
URL: https://github.com/apache/incubator-mxnet/pull/18721
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leezu edited a comment on pull request #18721:
URL: https://github.com/apache/incubator-mxnet/pull/18721#issuecomment-661416199
The Makefile targets are undocumented and are tied to the CI:
leezu closed issue #17968:
URL: https://github.com/apache/incubator-mxnet/issues/17968
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leezu commented on pull request #18721:
URL: https://github.com/apache/incubator-mxnet/pull/18721#issuecomment-661416199
The Makefile targets are undocumented and are tied to the CI:
ptrendx commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457728745
##
File path: src/common/cuda/rtc.cc
##
@@ -0,0 +1,246 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
ptrendx commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457724415
##
File path: src/operator/numpy/np_elemwise_broadcast_op_extended.cc
##
@@ -201,16 +201,12 @@
leezu commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457718521
##
File path: src/common/cuda/rtc.cc
##
@@ -0,0 +1,246 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
leezu commented on pull request #18748:
URL: https://github.com/apache/incubator-mxnet/pull/18748#issuecomment-661361155
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mxnet-bot commented on pull request #18748:
URL: https://github.com/apache/incubator-mxnet/pull/18748#issuecomment-661361216
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from bf26bcc [NumPy] enable large tensor in np (#18368)
add 1aec483 Add qr backward for wide inputs
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from bf26bcc [NumPy] enable large tensor in np (#18368)
add 1aec483 Add qr backward for wide inputs
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from bf26bcc [NumPy] enable large tensor in np (#18368)
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from bf26bcc [NumPy] enable large tensor in np (#18368)
add 1aec483 Add qr backward for wide inputs
leezu merged pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757
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lausen pushed a change to branch leezu-patch-4
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at 23f09fc Update .codecov.yml
No new revisions were added by this update.
leezu commented on pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757#issuecomment-661344359
Thank you @D-Roberts!
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commit 23f09fc7fede98452f99f25389067d5fffceb59a
Author: Leonard Lausen
AuthorDate: Mon Jul 20 14:29:20 2020
leezu commented on issue #18421:
URL:
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-661343659
Thank you @thomasrockhu
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at 23f09fc Update .codecov.yml
This branch includes the following new commits:
new 23f09fc
leezu opened a new pull request #18763:
URL: https://github.com/apache/incubator-mxnet/pull/18763
New PRs started showing the codecov/project badge again due apparent change
in codecov's backend resolving these duplicate options specified in .codecov.yml
mxnet-bot commented on pull request #18763:
URL: https://github.com/apache/incubator-mxnet/pull/18763#issuecomment-661343560
Hey @leezu , 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
szha commented on pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757#issuecomment-661338841
I'm comfortable merging this. @leezu?
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szhengac commented on pull request #18758:
URL: https://github.com/apache/incubator-mxnet/pull/18758#issuecomment-661303220
> Should we use https://pypi.org/project/notedown/ instead of committing the
raw notebook? Would you recommend integrating the example into the website as
well?
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sandeep-krishnamurthy merged pull request #18608:
URL: https://github.com/apache/incubator-mxnet/pull/18608
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D-Roberts edited a comment on pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757#issuecomment-661264530
Hi @leezu
By 're-verify tests' I really meant that I ran the tests >3 times with
MXNET_TEST_COUNT=1 :) .
I also made the following changes to
ptrendx commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457642828
##
File path: ci/docker/Dockerfile.build.jetson
##
@@ -90,6 +90,9 @@ RUN wget
szha commented on pull request #18749:
URL: https://github.com/apache/incubator-mxnet/pull/18749#issuecomment-661285270
Discussed offline and the conclusions are:
- we will go forward with this PR to allow serialization of parameters
without duplicates.
- we will take into account
thomasrockhu commented on issue #18421:
URL:
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-661278096
Hi @leezu, it looks like there are duplicate entries under `coverage ->
status -> project`
```
coverage:
status:
project: off
patch: off
D-Roberts edited a comment on pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757#issuecomment-661264530
Hi @leezu
By 're-verify tests' I really meant that I ran the tests >3 times with
MXNET_TEST_COUNT=1 :) .
I also made the following changes to
D-Roberts edited a comment on pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757#issuecomment-661264530
Hi @leezu .
By 're-verify tests' I really meant that I ran the tests >3 times with
MXNET_TEST_COUNT=1 .
I also made the following changes to the
DickJC123 commented on pull request #18762:
URL: https://github.com/apache/incubator-mxnet/pull/18762#issuecomment-661277350
Tagging @reminisce and @szha (who introduced/modified
test_np_array_function_protocol) for comment.
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ptrendx commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457622484
##
File path: ci/docker/Dockerfile.build.jetson
##
@@ -90,6 +90,9 @@ RUN wget
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from 146b49e Unittest tolerance handling improvements (#18694)
add bf26bcc [NumPy] enable large tensor
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from 146b49e Unittest tolerance handling improvements (#18694)
add bf26bcc [NumPy] enable large tensor
szha merged pull request #18368:
URL: https://github.com/apache/incubator-mxnet/pull/18368
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from 146b49e Unittest tolerance handling improvements (#18694)
add bf26bcc [NumPy] enable large tensor
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DickJC123 opened a new pull request #18762:
URL: https://github.com/apache/incubator-mxnet/pull/18762
## Description ##
I recently ran into a CI failure in
test_numpy_interoperability.py::test_np_array_function_protocol:
D-Roberts commented on pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757#issuecomment-661264530
Hi @leezu .
By 're-verify tests' I really meant that I ran the tests >3 times with
MXNET_TEST_COUNT=1 .
I also made the following changes to the tests:
mxnet-bot commented on pull request #18762:
URL: https://github.com/apache/incubator-mxnet/pull/18762#issuecomment-661264572
Hey @DickJC123 , 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
leezu commented on issue #18754:
URL:
https://github.com/apache/incubator-mxnet/issues/18754#issuecomment-661251800
@davidhewitt can you follow
https://mxnet.apache.org/get_started/build_from_source and verify if the same
warnings apply to the `libmxnet.so` generated when following the
leezu edited a comment on issue #18756:
URL:
https://github.com/apache/incubator-mxnet/issues/18756#issuecomment-661250450
@DickJC123 I'm not familiar with the feature, but @Zha0q1 added the feature
in https://github.com/apache/incubator-mxnet/pull/15240 and may help. Thanks
for
leezu edited a comment on issue #18756:
URL:
https://github.com/apache/incubator-mxnet/issues/18756#issuecomment-661250450
@DickJC123 I'm not familiar with the feature, but @Zha0q1 added the feature
in https://github.com/apache/incubator-mxnet/pull/15240 and may help.
leezu commented on issue #18756:
URL:
https://github.com/apache/incubator-mxnet/issues/18756#issuecomment-661250450
@DickJC123 I'm not familiar with the feature, but @Zha0q1 added the feature
and may help
This is an
leezu commented on pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#issuecomment-661249233
@D-Roberts the recommendation is to comment with "at mxnet-bot run ci [all]"
where at is @
This is an
leezu commented on pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757#issuecomment-661248507
@D-Roberts it's a bug and you can ignore it
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-661247916
Could you elaborate on how the PR
leezu commented on issue #18421:
URL:
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-661247916
@thomasrockhu the `codecov.yml` stopped working
https://github.com/apache/incubator-mxnet/blob/master/.codecov.yml
New PRs show the `codecov/project` badge again
leezu commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457594478
##
File path: ci/docker/Dockerfile.build.jetson
##
@@ -90,6 +90,9 @@ RUN wget
leezu commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457594285
##
File path: ci/docker/Dockerfile.build.jetson
##
@@ -90,6 +90,9 @@ RUN wget
leezu commented on issue #18699:
URL:
https://github.com/apache/incubator-mxnet/issues/18699#issuecomment-661242552
@mjdenkowski
> This benchmark was run using a trained Sockeye model. This is a full
sequence-to-sequence model with HybridBlocks glued together by Python code.
ptrendx commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457584073
##
File path: ci/docker/Dockerfile.build.jetson
##
@@ -90,6 +90,9 @@ RUN wget
D-Roberts commented on pull request #18757:
URL: https://github.com/apache/incubator-mxnet/pull/18757#issuecomment-661230561
@szha Here is the replacement PR. What is necessary to be done about the
codecov/project failure?
TristonC edited a comment on issue #18751:
URL:
https://github.com/apache/incubator-mxnet/issues/18751#issuecomment-661225937
The CPU version updates running mean and running var in backward path. And
there are some nuance difference there between CPU and GPUs. @gilbertfrancois,
could
TristonC edited a comment on issue #18751:
URL:
https://github.com/apache/incubator-mxnet/issues/18751#issuecomment-661225937
The CPU version updates running mean and running var in backward path. And
there are some nuance differences there between CPU and GPU implementations.
TristonC commented on issue #18751:
URL:
https://github.com/apache/incubator-mxnet/issues/18751#issuecomment-661225937
The CPU version updated running mean and running var in backward path. And
there are some nuance difference there between CPU and GPUs. @gilbertfrancois,
could you try
leezu commented on issue #18760:
URL:
https://github.com/apache/incubator-mxnet/issues/18760#issuecomment-661223469
> When using the model in production environment I can't catch the error.
This means that the service cannot be restarted as it just hangs (so the
service does not process
leezu commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457573754
##
File path: ci/docker/Dockerfile.build.jetson
##
@@ -90,6 +90,9 @@ RUN wget
leezu commented on a change in pull request #18622:
URL: https://github.com/apache/incubator-mxnet/pull/18622#discussion_r457573754
##
File path: ci/docker/Dockerfile.build.jetson
##
@@ -90,6 +90,9 @@ RUN wget
leezu commented on issue #18759:
URL:
https://github.com/apache/incubator-mxnet/issues/18759#issuecomment-661214880
cc @mseth10
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