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tqchen edited a comment on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
Thanks for discussions so far, to clarify the techinal questions and discuss
tradeoffs further.
tqchen edited a comment on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
Thanks for discussions so far, to clarify the techinal questions and discuss
tradeoffs further.
tqchen edited a comment on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
Thanks for discussions so far, to clarify the techinal questions and discuss
tradeoffs further.
tqchen edited a comment on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
The following fast-path can be addressed in the TVM FFI:
- ```tuple```, ```list``` via translat
tqchen edited a comment on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
The following fast-path can be addressed in the TVM FFI:
- ```tuple```, ```list``` via translat
tqchen edited a comment on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
The following fast-path can be addressed in the TVM FFI:
- ```tuple```, ```list``` via translat
tqchen edited a comment on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
The following fast-path can be addressed in the TVM FFI:
- ```tuple```, ```list``` via translat
tqchen commented on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet Imperative
Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
The following fast-path can be addressed in the TVM FFI:
- ```tuple``, ```list``` via translation in p
tqchen edited a comment on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568234198
The following fast-path can be addressed in the TVM FFI:
- ```tuple```, ```list``` via translat
reminisce commented on issue #17097: [RFC][mxnet 2.0][item 10.1] MXNet
Imperative Op Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568233782
@ptrendx Yes, there is an effort of profiling engine code flow using VTune.
We hope the exercise can
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from 3bb242b julia: porting `current_context`
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No
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from 3bb242b julia: porting `current_context`
add a4bec0b export
add 7a09e2e docstring
No
yajiedesign commented on issue #16980: change windows build system
URL: https://github.com/apache/incubator-mxnet/pull/16980#issuecomment-568228164
ok.
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vjache opened a new issue #17143: Wrong sum of array
URL: https://github.com/apache/incubator-mxnet/issues/17143
## Description
Wrong sum of an array. I've a list of floats, I created ndarray from it
using numpy and mxnet and called sum routine and got different results.
### Error
anirudh2290 commented on issue #15839: Add register_op_hook for gluon
URL: https://github.com/apache/incubator-mxnet/pull/15839#issuecomment-568207804
@eric-haibin-lin i didnt measure that, since this was intended only for
debugging not to be used in production use cases. If I had to make a
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iblis17 opened a new pull request #17142: [MXNET-1440] julia: porting
`current_context`
URL: https://github.com/apache/incubator-mxnet/pull/17142
- And introduce a new macro for changing default context
`@with_context`
TODO
- [ ] test cases
- [ ] update docs
-
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commit 3bb242b6f6d4656776aa27373f4f328e51ee4c02
Author: Iblis Lin
AuthorDate: Sat Dec 21 18:06:31 2019 +
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at 3bb242b julia: porting `current_context`
This branch includes the following new commits:
n
eric-haibin-lin commented on issue #16100: Infra for tvm op runtime dispatch
URL: https://github.com/apache/incubator-mxnet/pull/16100#issuecomment-568199025
do we have a developer guide using tvm op?
This is an automated mess
eric-haibin-lin commented on a change in pull request #17138: Interleaved MHA
for CPU path
URL: https://github.com/apache/incubator-mxnet/pull/17138#discussion_r360658933
##
File path: tests/python/unittest/test_operator.py
##
@@ -9373,6 +9373,330 @@ def check_random_unifo
eric-haibin-lin commented on a change in pull request #17138: Interleaved MHA
for CPU path
URL: https://github.com/apache/incubator-mxnet/pull/17138#discussion_r360658933
##
File path: tests/python/unittest/test_operator.py
##
@@ -9373,6 +9373,330 @@ def check_random_unifo
eric-haibin-lin commented on issue #15839: Add register_op_hook for gluon
URL: https://github.com/apache/incubator-mxnet/pull/15839#issuecomment-568198668
> registering an op hook is expensive and called at the beginning and end of
each op execution and may kill performance.
@an
TaoLv commented on issue #17091: broadcast_axis optimization
URL: https://github.com/apache/incubator-mxnet/pull/17091#issuecomment-568194974
@sxjscience Please take a look. Thanks!
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TaoLv commented on issue #17091: broadcast_axis optimization
URL: https://github.com/apache/incubator-mxnet/pull/17091#issuecomment-568194948
On my machine, before optimization:
```
broadcast (1,) to (128,), time: 0.06958 ms
broadcast (1, 128) to (128, 128), time: 0.07495 ms
broa
ptrendx commented on issue #17097: [mxnet 2.0][item 10.1] MXNet Imperative Op
Invocation Overhead
URL:
https://github.com/apache/incubator-mxnet/issues/17097#issuecomment-568189977
Ok, so it is about 50:50 split. Is there also work underway to profile what
is the reason of the time spent
leezu commented on issue #17126: Memory should be completely released after an
OOM happens
URL:
https://github.com/apache/incubator-mxnet/issues/17126#issuecomment-568181729
@lorenzob you need to uninstall all mxnet packages first (ie uninstall
mxnet-cu100), and then install the source co
xidulu opened a new pull request #17141: [Numpy] Port np.random.randn to master
URL: https://github.com/apache/incubator-mxnet/pull/17141
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
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lorenzob commented on issue #17126: Memory should be completely released after
an OOM happens
URL:
https://github.com/apache/incubator-mxnet/issues/17126#issuecomment-568177120
@leezu Thanks, I just did a straight checkout from github to get started and
missed the recursive part from the
nickguletskii opened a new issue #17140: mx.nd._internal._mul_scalar and other
scalar operators give incorrect results when PySide2 is loaded
URL: https://github.com/apache/incubator-mxnet/issues/17140
## Description
Creating an instance of `PySide2.QtCore.QCoreApplication` makes
`m
leezu commented on a change in pull request #17123: refactor
gluon.utils.split_data() following np.array_split()
URL: https://github.com/apache/incubator-mxnet/pull/17123#discussion_r360642197
##
File path: tests/python/unittest/test_gluon.py
##
@@ -33,7 +33,7 @@
from num
leezu commented on a change in pull request #17123: refactor
gluon.utils.split_data() following np.array_split()
URL: https://github.com/apache/incubator-mxnet/pull/17123#discussion_r360642213
##
File path: tests/python/unittest/test_gluon.py
##
@@ -23,14 +23,17 @@
from m
leezu commented on a change in pull request #17123: refactor
gluon.utils.split_data() following np.array_split()
URL: https://github.com/apache/incubator-mxnet/pull/17123#discussion_r360642197
##
File path: tests/python/unittest/test_gluon.py
##
@@ -33,7 +33,7 @@
from num
kshitij12345 commented on issue #15515: [MXNET-978] Higher Order Gradient
Support `arcsin`, `arccos`.
URL: https://github.com/apache/incubator-mxnet/pull/15515#issuecomment-568168712
Slack sounds good to me.
This is an autom
iblis17 commented on issue #16125: julia: migrate build process to cmake
URL: https://github.com/apache/incubator-mxnet/pull/16125#issuecomment-568167647
@aaronmarkham This PR improves the integration of Julia's self-shipped
`libopenblas`.
The Julia private OpenBLAS library exports all s
wintersurvival opened a new issue #17139: gamma and beta dimensionality error
in GroupNorm operator
URL: https://github.com/apache/incubator-mxnet/issues/17139
## Description
In the implement of mxnet.sym.GroupNorm，the size of gamma and beta is
(group_number,)。However, in the paper of g
iblis17 commented on issue #16125: julia: migrate build process to cmake
URL: https://github.com/apache/incubator-mxnet/pull/16125#issuecomment-568167043
I think this PR is ready for review.
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from e5b4871 OPENBLAS_INTERFACE64
add 8779154 fix command quote warning
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TaoLv commented on issue #17138: Interleaved MHA for CPU path
URL: https://github.com/apache/incubator-mxnet/pull/17138#issuecomment-568164566
@eric-haibin-lin @pengzhao-intel @Caenorst Please help to review. I copied
the UTs from test_operator_gpu.py to test_operator.py but didn't remove t
TaoLv opened a new pull request #17138: Interleaved MHA for CPU path
URL: https://github.com/apache/incubator-mxnet/pull/17138
## Description ##
This PR fills the CPU counterpart of PR
https://github.com/apache/incubator-mxnet/pull/16408.
Only FP32 is supported yet.
## Checklis
sxjscience commented on issue #15515: [MXNET-978] Higher Order Gradient Support
`arcsin`, `arccos`.
URL: https://github.com/apache/incubator-mxnet/pull/15515#issuecomment-568164273
@larroy @kshitij12345 @apeforest I think we can use Slack. What do you think?
---
kshitij12345 commented on issue #15515: [MXNET-978] Higher Order Gradient
Support `arcsin`, `arccos`.
URL: https://github.com/apache/incubator-mxnet/pull/15515#issuecomment-568164156
@larroy , I am quite interested in the idea. What would be a good place to
talk? Slack?
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