ChaiBapchya commented on issue #17483: Tests failed when I try to build
scala-package from source
URL:
https://github.com/apache/incubator-mxnet/issues/17483#issuecomment-592375627
@zachgk @lanking520 gentle reminder
This
ChaiBapchya commented on issue #15925: [CI] illegal memory access
URL:
https://github.com/apache/incubator-mxnet/issues/15925#issuecomment-592369423
G4 instance with cuda10.0 that is?
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sxjscience commented on issue #17665: No speedup from using FP16 (4 times
slower than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-592326750
@ptrendx Do you have any idea?
This is an
Tommliu opened a new pull request #17717: [Numpy] FFI Bincount
URL: https://github.com/apache/incubator-mxnet/pull/17717
## Description ##
Change Operator Registration of Bincount to FFI
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for
leezu commented on issue #17713: test_operator_gpu.test_embedding_with_type 'an
illegal memory access was encountered'
URL:
https://github.com/apache/incubator-mxnet/issues/17713#issuecomment-592308134
May be a bug in Cuda 10.0. Can't reproduce on 10.1.
However,
zixuanweeei commented on issue #17702: Support projection feature for LSTM on
CPU (Only Inference)
URL: https://github.com/apache/incubator-mxnet/pull/17702#issuecomment-592304640
CI has passed last time. The latest commit just added some documents for the
projection feature. Accordingly,
zixuanweeei commented on a change in pull request #17702: Support projection
feature for LSTM on CPU (Only Inference)
URL: https://github.com/apache/incubator-mxnet/pull/17702#discussion_r385498649
##
File path: src/operator/rnn.cc
##
@@ -385,7 +382,9 @@ The definition of
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from 0e6ab21 Move cpp-package/include/mxnet-cpp/.gitignore to avoid
copying it on installation
add 1af06d9
haojin2 merged pull request #17618: [Numpy] Rewrite sample_n
URL: https://github.com/apache/incubator-mxnet/pull/17618
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connorgoggins commented on issue #17716: [Large Tensor] linalg ops fail w/input
dim >= 2**32
URL:
https://github.com/apache/incubator-mxnet/issues/17716#issuecomment-592291579
@mxnet-label-bot add [MKL]
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connorgoggins removed a comment on issue #17716: [Large Tensor] linalg ops fail
w/input dim >= 2**32
URL:
https://github.com/apache/incubator-mxnet/issues/17716#issuecomment-592290187
@mxnet-label-bot remove [MKL]
This is
connorgoggins removed a comment on issue #17716: [Large Tensor] linalg ops fail
w/input dim >= 2**32
URL:
https://github.com/apache/incubator-mxnet/issues/17716#issuecomment-592290007
@mxnet-label-bot add [MKL]
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connorgoggins commented on issue #17716: [Large Tensor] linalg ops fail w/input
dim >= 2**32
URL:
https://github.com/apache/incubator-mxnet/issues/17716#issuecomment-592290187
@mxnet-label-bot remove [MKL]
This is an
connorgoggins commented on issue #17716: [Large Tensor] linalg ops fail w/input
dim >= 2**32
URL:
https://github.com/apache/incubator-mxnet/issues/17716#issuecomment-592290007
@mxnet-label-bot add [MKL]
This is an automated
connorgoggins opened a new issue #17716: [Large Tensor] linalg ops fail w/input
dim >= 2**32
URL: https://github.com/apache/incubator-mxnet/issues/17716
## Description
While testing the `linalg_*` ops on large tensor (dimension >= 2**32) data,
I found that all of these ops fail with a
TaoLv edited a comment on issue #17715: MXNet nightly cpu build (w/o MKLDNN)
does not work with Horovod
URL:
https://github.com/apache/incubator-mxnet/issues/17715#issuecomment-592278212
Hmm if you're using the latest nightly build, I'm afraid MKL-DNN is already
enabled in it. Could you
xinyu-intel commented on issue #17679: [MKL-DNN] BatchNormRelu Fusion
URL: https://github.com/apache/incubator-mxnet/pull/17679#issuecomment-592278870
@zhreshold @hetong007 Can you help take a review?
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TaoLv commented on issue #17715: MXNet nightly cpu build (w/o MKLDNN) does not
work with Horovod
URL:
https://github.com/apache/incubator-mxnet/issues/17715#issuecomment-592278212
Hmm if you're using the latest nightly build, I'm afraid MKL-DNN is already
enabled in it. Could please
apeforest opened a new issue #17715: MXNet nightly cpu build (w/o MKLDNN) does
not work with Horovod
URL: https://github.com/apache/incubator-mxnet/issues/17715
## Description
Installing Horovod with MXNet nightly CPU (w/o MKLDNN) failed. GPU build and
CPU mkldnn build are both okay.
zixuanweeei commented on a change in pull request #17702: Support projection
feature for LSTM on CPU (Only Inference)
URL: https://github.com/apache/incubator-mxnet/pull/17702#discussion_r385467427
##
File path: src/operator/rnn.cc
##
@@ -385,7 +382,9 @@ The definition of
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discard cd562c4 Fix lapack detection on Ubuntu 18.04 in Makefile
new 3f1f22c Fix lapack detection on
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commit 3f1f22cea36d49ec58a7f6d02fdc70b544713222
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AuthorDate: Thu Feb 27 17:07:29 2020
leezu opened a new pull request #17714: Fix lapack detection on Ubuntu 18.04 in
Makefile
URL: https://github.com/apache/incubator-mxnet/pull/17714
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leezu closed issue #17704: cpp-package: .gitignore in wrong path
URL: https://github.com/apache/incubator-mxnet/issues/17704
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leezu merged pull request #17709: Fix #17704: move the .gitignore file to rigth
path
URL: https://github.com/apache/incubator-mxnet/pull/17709
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eric-haibin-lin commented on a change in pull request #17702: Support
projection feature for LSTM on CPU (Only Inference)
URL: https://github.com/apache/incubator-mxnet/pull/17702#discussion_r385442120
##
File path: src/operator/rnn.cc
##
@@ -385,7 +382,9 @@ The
ptrendx commented on issue #17658: Update website, README and NEWS with 1.6.0
URL: https://github.com/apache/incubator-mxnet/pull/17658#issuecomment-592233655
Ok, I believe it should be ready for review.
I updated:
- README,
- NEWS.md (including fixing multiple not working
leezu commented on issue #15925: [CI] illegal memory access
URL:
https://github.com/apache/incubator-mxnet/issues/15925#issuecomment-592233431
Could the CI issue be related to
https://github.com/apache/incubator-mxnet/issues/17713 ? That can be reproduced
deterministically on G4 instance
leezu opened a new issue #17713: test_operator_gpu.test_embedding_with_type 'an
illegal memory access was encountered'
URL: https://github.com/apache/incubator-mxnet/issues/17713
## Description
Embedding operator in `test_operator_gpu.test_embedding_with_type` triggers
illegal memory
ChaiBapchya commented on issue #14994: Flaky test: test_lstm_clip
URL:
https://github.com/apache/incubator-mxnet/issues/14994#issuecomment-592214753
For unrelated PR #17487
sxjscience commented on issue #17665: No speedup from using FP16 (4 times
slower than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-592204581
I tried with `nvprof` and find that MXNet and PyTorch uses different kernels:
For MXNet, it's
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385399026
##
File path: src/operator/rnn_impl.h
##
@@ -127,9 +127,9 @@ void LstmForwardTraining(DType* ws,
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385399105
##
File path: src/operator/rnn_impl.h
##
@@ -146,15 +146,15 @@ void LstmForwardTraining(DType* ws,
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385398150
##
File path: src/operator/rnn-inl.h
##
@@ -361,9 +361,9 @@ void RNNBackward(DType* ws,
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385397998
##
File path: src/operator/rnn-inl.h
##
@@ -320,9 +320,9 @@ void RNNForwardInference(DType* ws,
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385397900
##
File path: src/operator/rnn-inl.h
##
@@ -278,9 +278,9 @@ void RNNForwardTraining(DType* ws,
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385397647
##
File path: src/operator/rnn-inl.h
##
@@ -213,8 +213,8 @@ inline size_t GetRNNWorkspaceSize(int
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385397242
##
File path: src/operator/rnn-inl.h
##
@@ -123,7 +123,7 @@ struct RNNParam : public dmlc::Parameter {
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385396554
##
File path: src/operator/rnn-inl.h
##
@@ -213,8 +213,8 @@ inline size_t GetRNNWorkspaceSize(int
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385396355
##
File path: src/operator/rnn-inl.h
##
@@ -123,7 +123,7 @@ struct RNNParam : public dmlc::Parameter {
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385396554
##
File path: src/operator/rnn-inl.h
##
@@ -213,8 +213,8 @@ inline size_t GetRNNWorkspaceSize(int
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385396355
##
File path: src/operator/rnn-inl.h
##
@@ -123,7 +123,7 @@ struct RNNParam : public dmlc::Parameter {
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385393949
##
File path: src/operator/rnn-inl.h
##
@@ -140,14 +140,14 @@ inline int GetRnnParamSize(int num_layer,
access2rohit commented on a change in pull request #17632: [Large Tensor] Fixed
RNN op
URL: https://github.com/apache/incubator-mxnet/pull/17632#discussion_r385394072
##
File path: src/operator/rnn-inl.h
##
@@ -182,8 +182,8 @@ inline int GetRnnBiasSize(int num_layer,
*
leezu commented on issue #17712: Gluon Block hooks reference counting bug
URL:
https://github.com/apache/incubator-mxnet/issues/17712#issuecomment-592195594
Seems to be an upstream bug, so I opened https://bugs.python.org/issue39778
leezu closed issue #17712: Gluon Block hooks reference counting bug
URL: https://github.com/apache/incubator-mxnet/issues/17712
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leezu opened a new issue #17712: Gluon Block hooks reference counting bug
URL: https://github.com/apache/incubator-mxnet/issues/17712
## Description
Garbage collection can trigger `_PyObject_AssertFailed` if Gluon Block hooks
are used.
### Error Message
``` bash
snnn commented on issue #17711: [ONNX export] Fixing spatial export for
batchnorm
URL: https://github.com/apache/incubator-mxnet/pull/17711#issuecomment-592158271
LGTM.
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vinitra opened a new pull request #17711: [ONNX export] Fixing spatial export
for batchnorm
URL: https://github.com/apache/incubator-mxnet/pull/17711
## Description ##
In the ONNX model zoo, we noticed that models like ArcFace and DUC that have
been exported from mxnet with batchnorm
gromovadarya90 opened a new issue #17710: WANT TO SEE HOT PICS WITH ME?
URL: https://github.com/apache/incubator-mxnet/issues/17710
WANT TO SEE HOT PICS WITH ME?
https://is.gd/ms4xm3
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ChaiBapchya commented on a change in pull request #17487: [OpPerf] Consolidate
array manipulation related operators
URL: https://github.com/apache/incubator-mxnet/pull/17487#discussion_r385342488
##
File path: benchmark/opperf/README.md
##
@@ -72,6 +73,8 @@ python
ChaiBapchya commented on a change in pull request #17487: [OpPerf] Consolidate
array manipulation related operators
URL: https://github.com/apache/incubator-mxnet/pull/17487#discussion_r379225052
##
File path: benchmark/opperf/utils/op_registry_utils.py
##
@@ -137,26
sxjscience edited a comment on issue #17665: No speedup from using FP16 (4
times slower than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-591832250
I can replicate the performance gap. Also, I added `mx.nd.waitall()` in the
first script:
sxjscience edited a comment on issue #17665: No speedup from using FP16 (4
times slower than PyTorch)
URL:
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-591832250
I can replicate the performance gap. Also, I added `mx.nd.waitall()` in the
first script:
ChaiBapchya commented on a change in pull request #17487: [OpPerf] Consolidate
array manipulation related operators
URL: https://github.com/apache/incubator-mxnet/pull/17487#discussion_r385322042
##
File path: benchmark/opperf/utils/op_registry_utils.py
##
@@ -137,26
ChaiBapchya commented on issue #17487: [OpPerf] Consolidate array manipulation
related operators
URL: https://github.com/apache/incubator-mxnet/pull/17487#issuecomment-592133902
> Can you please this list -
sl1pkn07 opened a new pull request #17709: Fix #17704: move the .gitignore file
to rigth path
URL: https://github.com/apache/incubator-mxnet/pull/17709
…(this avoid to install it when run make install)
## Description ##
Fix #17704
## Checklist ##
### Essentials ###
sl1pkn07 commented on issue #17704: cpp-package: .gitignore in wrong path
URL:
https://github.com/apache/incubator-mxnet/issues/17704#issuecomment-592124328
done
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eric-haibin-lin commented on issue #17651: Distributed training with kvstore
crashes if worker has different number of data batches
URL:
https://github.com/apache/incubator-mxnet/issues/17651#issuecomment-592112039
I think that's correct. Please let me know if you come across issues using
connorgoggins commented on a change in pull request #17677: [Large Tensor] Fix
cumsum op
URL: https://github.com/apache/incubator-mxnet/pull/17677#discussion_r385289205
##
File path: src/operator/numpy/np_cumsum-inl.h
##
@@ -98,11 +98,11 @@ void CumsumForwardImpl(const
connorgoggins commented on a change in pull request #17677: [Large Tensor] Fix
cumsum op
URL: https://github.com/apache/incubator-mxnet/pull/17677#discussion_r385289319
##
File path: src/operator/numpy/np_cumsum-inl.h
##
@@ -157,10 +157,10 @@ void CumsumBackwardImpl(const
connorgoggins commented on a change in pull request #17677: [Large Tensor] Fix
cumsum op
URL: https://github.com/apache/incubator-mxnet/pull/17677#discussion_r385289461
##
File path: src/operator/numpy/np_cumsum-inl.h
##
@@ -157,10 +157,10 @@ void CumsumBackwardImpl(const
apeforest commented on a change in pull request #17677: [Large Tensor] Fix
cumsum op
URL: https://github.com/apache/incubator-mxnet/pull/17677#discussion_r385286229
##
File path: src/operator/numpy/np_cumsum-inl.h
##
@@ -157,10 +157,10 @@ void CumsumBackwardImpl(const
access2rohit commented on a change in pull request #17677: [Large Tensor] Fix
cumsum op
URL: https://github.com/apache/incubator-mxnet/pull/17677#discussion_r385285544
##
File path: src/operator/numpy/np_cumsum-inl.h
##
@@ -157,10 +157,10 @@ void CumsumBackwardImpl(const
access2rohit commented on a change in pull request #17677: [Large Tensor] Fix
cumsum op
URL: https://github.com/apache/incubator-mxnet/pull/17677#discussion_r385285641
##
File path: src/operator/numpy/np_cumsum-inl.h
##
@@ -157,10 +157,10 @@ void CumsumBackwardImpl(const
apeforest commented on a change in pull request #17677: [Large Tensor] Fix
cumsum op
URL: https://github.com/apache/incubator-mxnet/pull/17677#discussion_r385284895
##
File path: src/operator/numpy/np_cumsum-inl.h
##
@@ -98,11 +98,11 @@ void CumsumForwardImpl(const
leezu commented on issue #17704: cpp-package: .gitignore in wrong path
URL:
https://github.com/apache/incubator-mxnet/issues/17704#issuecomment-592091298
It's valid to have .gitignore in subdirectories, so it's not necessary to
change all. `cpp-package/include/mxnet-cpp/.gitignore` is
leezu commented on issue #17708: Silence all compiler warnings when build
URL:
https://github.com/apache/incubator-mxnet/issues/17708#issuecomment-592087728
@hzfan could you fix the warnings in ffi that you introduced.
CI already tests with `-WError` to prevent introducing more
sl1pkn07 opened a new issue #17708: Silence all compiler warnings when build
URL: https://github.com/apache/incubator-mxnet/issues/17708
## Description
silence all warnings when build the project
## References
when build the project, a tons of warnings like
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aaronmarkham 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 431890f Bump the
EmilPi edited a comment on issue #17454: IdentityAttachKLSparseReg - operator
argument error
URL:
https://github.com/apache/incubator-mxnet/issues/17454#issuecomment-591908426
Any news on this? I have the same issue with mxnet==1.5.0 and
mxnet-cu100==1.5.0 installed with pip3 .
EmilPi commented on issue #17454: IdentityAttachKLSparseReg - operator argument
error
URL:
https://github.com/apache/incubator-mxnet/issues/17454#issuecomment-591908426
Any news on this?
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ciyongch commented on issue #17705: mkldnn quantized FC is slow
URL:
https://github.com/apache/incubator-mxnet/issues/17705#issuecomment-591868495
@eric-haibin-lin I just created a PR
https://github.com/apache/incubator-mxnet/pull/17707 to address this issue,
please take a review.
ciyongch opened a new pull request #17707: [MKLDNN] Remove overhead of
sg_mkldnn_fullyconnected op
URL: https://github.com/apache/incubator-mxnet/pull/17707
## Description ##
This PR is mainly focus on removing the overhead of sg_mkldnn_fullyconnected
especially in the case of
sl1pkn07 commented on issue #17704: cpp-package: .gitignore in wrong path
URL:
https://github.com/apache/incubator-mxnet/issues/17704#issuecomment-591866571
~~~
┌─┤[$]|[sl1pkn07]|[sL1pKn07]|[~/aplicaciones/incubator-mxnet]|
└───╼ find . -name .gitignore
./python/.gitignore
sl1pkn07 closed pull request #17580: fix #17579
URL: https://github.com/apache/incubator-mxnet/pull/17580
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hkvision commented on issue #17651: Distributed training with kvstore crashes
if worker has different number of data batches
URL:
https://github.com/apache/incubator-mxnet/issues/17651#issuecomment-591834890
@eric-haibin-lin Hi, I'm using NDArrayIter. I checked ResizeIter, so in
order
hkvision edited a comment on issue #17651: Distributed training with kvstore
crashes if worker has different number of data batches
URL:
https://github.com/apache/incubator-mxnet/issues/17651#issuecomment-591834890
@eric-haibin-lin Hi, I'm using NDArrayIter. I checked ResizeIter and it
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