wkcn opened a new pull request #17975: [Fix Bug] Remove redundant mshadow op
URL: https://github.com/apache/incubator-mxnet/pull/17975
## Description ##
Hi, there.
There are two versions of reduce op, including `maximum`, `minimum` and
`sum` in
mxnet-bot commented on issue #17975: [Fix Bug] Remove redundant mshadow op
URL: https://github.com/apache/incubator-mxnet/pull/17975#issuecomment-609361917
Hey @wkcn , Thanks for submitting the PR
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shuo-ouyang commented on issue #17952: 1bit gradient compression
URL: https://github.com/apache/incubator-mxnet/pull/17952#issuecomment-609140100
@wkcn I get it, thanks!
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ElaineBao commented on issue #17900: [MKLDNN] support using any format in
pooling backward
URL: https://github.com/apache/incubator-mxnet/pull/17900#issuecomment-609136817
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mxnet-bot commented on issue #17762: Custom Operator Random Number Generator
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wkcn commented on issue #17762: Custom Operator Random Number Generator Support
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mxnet-bot commented on issue #17934: Remove duplicate condition
URL: https://github.com/apache/incubator-mxnet/pull/17934#issuecomment-609115819
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wkcn commented on issue #17934: Remove duplicate condition
URL: https://github.com/apache/incubator-mxnet/pull/17934#issuecomment-609115800
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mxnet-bot commented on issue #17933: param.axes check : redundant condition
URL: https://github.com/apache/incubator-mxnet/pull/17933#issuecomment-609115537
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wkcn commented on issue #17933: param.axes check : redundant condition
URL: https://github.com/apache/incubator-mxnet/pull/17933#issuecomment-609115517
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wkcn commented on issue #17952: 1bit gradient compression
URL: https://github.com/apache/incubator-mxnet/pull/17952#issuecomment-609114493
@shuo-ouyang It is not related to the code. The reason is that the CI is
unstable now.
mxnet-bot commented on issue #17974: Add instructions on distributed MXNet with
Horovod on Kubernetes
URL: https://github.com/apache/incubator-mxnet/pull/17974#issuecomment-609112935
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terrytangyuan commented on issue #17974: Add instructions on distributed MXNet
with Horovod on Kubernetes
URL: https://github.com/apache/incubator-mxnet/pull/17974#issuecomment-609112914
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at 7d0d23e Add instructions on distributed MXNet with Horovod on
Kubernetes
This
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commit 7d0d23ec774c12dd2b5ceb3f10707e16c2603536
Author: Yuan Tang
AuthorDate: Sat Apr 4
mxnet-bot commented on issue #17974: Add instructions on distributed MXNet with
Horovod on Kubernetes
URL: https://github.com/apache/incubator-mxnet/pull/17974#issuecomment-609112704
Hey @terrytangyuan , Thanks for submitting the PR
All tests are already queued to run once. If tests
terrytangyuan opened a new pull request #17974: Add instructions on distributed
MXNet with Horovod on Kubernetes
URL: https://github.com/apache/incubator-mxnet/pull/17974
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
leezu commented on issue #14189: [Flaky Test] Python3: MKLDNN-GPU
test_kvstore_gpu.test_rsp_push_pull
URL:
https://github.com/apache/incubator-mxnet/issues/14189#issuecomment-609112405
@stu1130 @eric-haibin-lin failing again
Chancebair opened a new issue #14189: [Flaky Test] Python3: MKLDNN-GPU
test_kvstore_gpu.test_rsp_push_pull
URL: https://github.com/apache/incubator-mxnet/issues/14189
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/master/347/pipeline
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shuo-ouyang commented on issue #17952: 1bit gradient compression
URL: https://github.com/apache/incubator-mxnet/pull/17952#issuecomment-609109020
@wkcn Thanks for your help and support. To be honest, I am not familiar with
jenkins workflow, and I dont know why some checks are failed when
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leezu merged pull request #17956: [Website 2.0] Nightly Build for v1.x
URL: https://github.com/apache/incubator-mxnet/pull/17956
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discard dcd3899 Skip test_recordimage_dataset_with_data_loader_multiworker on
OSX
add 673f028 Skip
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mxnet-bot commented on issue #17950: [Numpy] Add op linalg.lstsq
URL: https://github.com/apache/incubator-mxnet/pull/17950#issuecomment-609067493
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sjtuWangDing commented on issue #17950: [Numpy] Add op linalg.lstsq
URL: https://github.com/apache/incubator-mxnet/pull/17950#issuecomment-609067480
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sjtuWangDing commented on issue #17950: [Numpy] Add op linalg.lstsq
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mxnet-bot commented on issue #17950: [Numpy] Add op linalg.lstsq
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r2d3 commented on issue #17826: [quetions] Check failed: e == cudaSuccess:
CUDA: initialization error
URL:
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HI @rondogency and @Rainweic,
even with an "import mxnet" in each process, I got similar issue.
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URL: https://github.com/apache/incubator-mxnet/pull/17950#issuecomment-609051716
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sjtuWangDing commented on issue #17950: [Numpy] Add op linalg.lstsq
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ElaineBao commented on issue #17906: Optimize AddTakeGrad Tensor Sum
URL: https://github.com/apache/incubator-mxnet/pull/17906#issuecomment-609050759
Sorry for the late reply.
I tried to use opperf, but it doesn't work, some error throwed out when I
was using it:
```
# File
mxnet-bot commented on issue #17973: Improve activation backward
URL: https://github.com/apache/incubator-mxnet/pull/17973#issuecomment-609044105
Hey @TaoLv , Thanks for submitting the PR
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TaoLv opened a new pull request #17973: Improve activation backward
URL: https://github.com/apache/incubator-mxnet/pull/17973
## Description ##
Reduce some overhead when the req[0] is kWriteTo or kWriteInplace.
## Checklist ##
### Essentials ###
Please feel free to remove
TaoLv opened a new pull request #17972: Update 3rdparty/mkldnn remote URL and
pin to v1.3
URL: https://github.com/apache/incubator-mxnet/pull/17972
## Description ##
1. Update 3rdparty/mkldnn remote URL. See README at
https://github.com/oneapi-src/oneDNN.
2. Pin to the v1.3 official
mxnet-bot commented on issue #17972: Update 3rdparty/mkldnn remote URL and pin
to v1.3
URL: https://github.com/apache/incubator-mxnet/pull/17972#issuecomment-609041828
Hey @TaoLv , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
TaoLv commented on issue #17900: [MKLDNN] support using any format in pooling
backward
URL: https://github.com/apache/incubator-mxnet/pull/17900#issuecomment-609039658
The CI issue should be already addressed. Please rebase your PR and resolve
the comments. Thanks.
TaoLv commented on issue #17884: [MKL-DNN] Integrate Conv3d and Pool3d/1d
URL: https://github.com/apache/incubator-mxnet/pull/17884#issuecomment-609039683
The CI issue should be already addressed. Please rebase your PR and resolve
the comments. Thanks.
TaoLv commented on issue #17906: Optimize AddTakeGrad Tensor Sum
URL: https://github.com/apache/incubator-mxnet/pull/17906#issuecomment-609039636
The CI issue should be already addressed. Please rebase your PR and resolve
the comments. Thanks.
mxnet-bot commented on issue #17734: [MXNET-889] Implement ONNX export for
gluon LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609038733
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RuRo commented on issue #17734: [MXNET-889] Implement ONNX export for gluon
LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609038723
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mseth10 commented on issue #16473: devices install page not rendering
URL:
https://github.com/apache/incubator-mxnet/issues/16473#issuecomment-609038620
@aaronmarkham looks like this issue has been resolved. Can you check again?
mxnet-bot commented on issue #17679: [MKL-DNN] BatchNormRelu Fusion
URL: https://github.com/apache/incubator-mxnet/pull/17679#issuecomment-609038221
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xinyu-intel commented on issue #17679: [MKL-DNN] BatchNormRelu Fusion
URL: https://github.com/apache/incubator-mxnet/pull/17679#issuecomment-609038202
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wkcn commented on issue #17952: 1bit gradient compression
URL: https://github.com/apache/incubator-mxnet/pull/17952#issuecomment-609036992
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mseth10 edited a comment on issue #17238: Error building on ubuntu 18.04 on x64
with intel XEP, CUDA10.0, NCCL and TensorRT
URL:
https://github.com/apache/incubator-mxnet/issues/17238#issuecomment-609036760
@mxnet-label-bot add [MKL]
mseth10 edited a comment on issue #17238: Error building on ubuntu 18.04 on x64
with intel XEP, CUDA10.0, NCCL and TensorRT
URL:
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mxnet-label-bot add 'MKL'
mseth10 commented on issue #17238: Error building on ubuntu 18.04 on x64 with
intel XEP, CUDA10.0, NCCL and TensorRT
URL:
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wkcn commented on issue #17748: [Bug Fix] support multiple-dim input for
unravel_index
URL: https://github.com/apache/incubator-mxnet/pull/17748#issuecomment-609036259
Hi @ChaiBapchya and @haojin2 , could you please help take a review? Thank
you!
zixuanweeei commented on issue #17959: [MKLDNN] Add LSTMP to v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17959#issuecomment-609024274
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mxnet-bot commented on issue #17959: [MKLDNN] Add LSTMP to v1.6.x
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zixuanweeei commented on issue #17959: [MKLDNN] Add LSTMP to v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17959#issuecomment-609024223
> Seems there are problems in CI @zixuanweeei could you point out the
failure cases and I think AWS colleagues can help double-check.
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shuo-ouyang commented on issue #17952: 1bit gradient compression
URL: https://github.com/apache/incubator-mxnet/pull/17952#issuecomment-609019823
@mxnet-label-bot add [KVStore, Distributed]
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pengzhao-intel commented on issue #17959: [MKLDNN] Add LSTMP to v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/17959#issuecomment-609016405
Seems there are problems in CI @zixuanweeei could you point out the failure
cases and I think AWS colleagues can help double-check.
mxnet-bot commented on issue #17748: [Bug Fix] support multiple-dim input for
unravel_index
URL: https://github.com/apache/incubator-mxnet/pull/17748#issuecomment-609012579
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wkcn commented on issue #17748: [Bug Fix] support multiple-dim input for
unravel_index
URL: https://github.com/apache/incubator-mxnet/pull/17748#issuecomment-609012571
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wkcn commented on issue #17762: Custom Operator Random Number Generator Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#issuecomment-609008854
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mxnet-bot commented on issue #17762: Custom Operator Random Number Generator
Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#issuecomment-609008876
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mxnet-bot commented on issue #17734: [MXNET-889] Implement ONNX export for
gluon LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609007544
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RuRo commented on issue #17734: [MXNET-889] Implement ONNX export for gluon
LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609007533
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mxnet-bot commented on issue #17754: [MXNET-978] Higher Order Gradient Support
broadcast_to, broadcast_power, power, elemwise_mul and elemwise_sub and add
unit test function check check_nth_order_binary
URL: https://github.com/apache/incubator-mxnet/pull/17754#issuecomment-609003722
tobecontinued commented on issue #17754: [MXNET-978] Higher Order Gradient
Support broadcast_to, broadcast_power, power, elemwise_mul and elemwise_sub and
add unit test function check check_nth_order_binary
URL: https://github.com/apache/incubator-mxnet/pull/17754#issuecomment-609003702
mxnet-bot commented on issue #17952: 1bit gradient compression
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shuo-ouyang commented on issue #17952: 1bit gradient compression
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ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-608983596
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mxnet-bot commented on issue #17368: Faster GPU frozen BatchNorm
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ptrendx commented on issue #17937: Fix for handling negative indices in the
fusion of slice
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mxnet-bot commented on issue #17937: Fix for handling negative indices in the
fusion of slice
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djaym7 opened a new issue #17971: DOT product too slow on CPU and GPU compared
to np and pytorch
URL: https://github.com/apache/incubator-mxnet/issues/17971
Given below are times for CPU-np, mxnet-CPU, mxnet-GPU, pytorch-CPU,
pytorch-GPU.
CPU times on numpy (np) and and pytorch CPU are
mxnet-bot commented on issue #17970: fix block.export
URL: https://github.com/apache/incubator-mxnet/pull/17970#issuecomment-608980827
Hey @chinakook , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
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chinakook opened a new pull request #17970: fix block.export
URL: https://github.com/apache/incubator-mxnet/pull/17970
```net.hybridize``` may optimize out some ops. These ops are alive in
nn.Block(also nn.HybridBlock), but its names are not contained in symbol's
```arg_names``` list. So
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