rongzha1 opened a new pull request #16222: [mkldnn-v1.0] Add MKL-DNN
softmax_output
URL: https://github.com/apache/incubator-mxnet/pull/16222
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplic
ZhennanQin commented on a change in pull request #16025: Numpy add numpy op
left_shift and right_shift
URL: https://github.com/apache/incubator-mxnet/pull/16025#discussion_r326488169
##
File path: src/operator/numpy/np_elemwise_broadcast_op.cc
##
@@ -144,5 +165,21 @@
MXNE
ElaineBao commented on issue #16199: [mkldnn-v1.0] Add MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#issuecomment-533419572
LGTM
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rongzha1 commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r326479771
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -241,25 +176,30 @@ void MKLDNNBatchNormFor
rongzha1 commented on a change in pull request #16199: [mkldnn-v1.0] Add
MKL-DNN BN
URL: https://github.com/apache/incubator-mxnet/pull/16199#discussion_r326479835
##
File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
##
@@ -241,25 +176,30 @@ void MKLDNNBatchNormFor
rongzha1 opened a new pull request #16221: [mkldnn-v1.0] Add MKL-DNN FC
URL: https://github.com/apache/incubator-mxnet/pull/16221
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items fo
rongzha1 commented on issue #16213: [mkldnn-v1.0][Don't merge] Trigger CI after
merging the master branch
URL: https://github.com/apache/incubator-mxnet/pull/16213#issuecomment-533416220
> @rongzha1 please rebase your ACT and BN PR.
rebase done
--
apeforest commented on issue #16218: Improving performance of argmax operator
URL: https://github.com/apache/incubator-mxnet/pull/16218#issuecomment-533410784
It seems this PR is working on the same operator as
https://github.com/apache/incubator-mxnet/pull/16178. Can you run a profiling
u
apeforest commented on a change in pull request #16218: Improving performance
of argmax operator
URL: https://github.com/apache/incubator-mxnet/pull/16218#discussion_r326474610
##
File path: src/operator/tensor/broadcast_reduce_op.h
##
@@ -556,6 +556,162 @@ inline bool Red
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thomasdelteil pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from a783d81 add epsilon to sum(pvalue) upperbound (#16211)
add 7126438 New Website: New Pipeline [
ThomasDelteil merged pull request #15883: New Website: New Pipeline [3/3]
URL: https://github.com/apache/incubator-mxnet/pull/15883
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ThomasDelteil commented on issue #15883: New Website: New Pipeline [3/3]
URL: https://github.com/apache/incubator-mxnet/pull/15883#issuecomment-533409036
CI passing, merging. If any issue ping @ThomasDelteil, @aaronmarkham, @sad-
pengzhao-intel commented on issue #16213: [mkldnn-v1.0][Don't merge] Trigger CI
after merging the master branch
URL: https://github.com/apache/incubator-mxnet/pull/16213#issuecomment-533408390
@rongzha1 please rebase your ACT and BN PR.
-
pengzhao-intel commented on issue #16213: [mkldnn-v1.0][Don't merge] Trigger CI
after merging the master branch
URL: https://github.com/apache/incubator-mxnet/pull/16213#issuecomment-533407882
@TaoLv CI passed, please go ahead :)
apeforest commented on a change in pull request #16215: New ops for RCNN + old
ops improvements for RCNN
URL: https://github.com/apache/incubator-mxnet/pull/16215#discussion_r326471563
##
File path: src/operator/contrib/bounding_box-inl.h
##
@@ -787,6 +787,284 @@ void Bipa
apeforest commented on a change in pull request #16215: New ops for RCNN + old
ops improvements for RCNN
URL: https://github.com/apache/incubator-mxnet/pull/16215#discussion_r326471319
##
File path: src/operator/contrib/bounding_box-inl.h
##
@@ -787,6 +787,284 @@ void Bipa
access2rohit edited a comment on issue #16178: [WIP]improving argmax perf
URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-533392917
> Ah, I found that the `NaN` handling is provided as another function in
NumPy.
@iblis17 yes also pease take a look at this issu
access2rohit commented on issue #16178: [WIP]improving argmax perf
URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-533392917
> Ah, I found that the `NaN` handling is provided as another function in
NumPy.
@iblis17 yes also pease take a look at this issue :
https:
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haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 6247dc8 [Numpy] Differentiable svd (#15795)
add a783d81 add epsilon to sum(pvalue) upperbound (#16211)
haojin2 merged pull request #16211: [Numpy] Fix numerical error in
multinomial's pvalue check
URL: https://github.com/apache/incubator-mxnet/pull/16211
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iblis17 commented on issue #16178: [WIP]improving argmax perf
URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-533386758
Ah, I found that the `NaN` handling is provided as another function in NumPy.
https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.n
mxnet-label-bot commented on issue #16220: `NDArray.clip()` works very slow in
imperative execution on GPU.
URL:
https://github.com/apache/incubator-mxnet/issues/16220#issuecomment-533385413
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest s
access2rohit commented on issue #16203: removing 64 bit un-used APIs
MXNDArrayLoadFromBuffer64 and MXNDArrayLoad64
URL: https://github.com/apache/incubator-mxnet/pull/16203#issuecomment-533385465
@apeforest @frankfliu PR is ready for review
access2rohit commented on issue #16203: removing 64 bit un-used APIs
MXNDArrayLoadFromBuffer64 and MXNDArrayLoad64
URL: https://github.com/apache/incubator-mxnet/pull/16203#issuecomment-533385383
@mxnet-label-bot add [pr-awaiting-review]
igolan opened a new issue #16220: `NDArray.clip()` works very slow in
imperative execution on GPU.
URL: https://github.com/apache/incubator-mxnet/issues/16220
## Description
`NDArray.clip()` works very slow in imperative execution on GPU (~x3 slower
than ReLU).
More details below
rongzha1 commented on a change in pull request #16195: [mkldnn-v1.0] Add
MKL-DNN activation
URL: https://github.com/apache/incubator-mxnet/pull/16195#discussion_r326451726
##
File path: src/operator/nn/mkldnn/mkldnn_act-inl.h
##
@@ -67,8 +63,28 @@ MKLDNNActForward &GetActF
zachgk opened a new pull request #16219: Faster Scala NDArray to BufferedImage
function
URL: https://github.com/apache/incubator-mxnet/pull/16219
## Description ##
Fixes #15123
The toImage function now runs ~85x faster on the 1024x576px Pug_cookie.jpg
image.
@Chouffe
## Ch
ciyongch commented on a change in pull request #16195: [mkldnn-v1.0] Add
MKL-DNN activation
URL: https://github.com/apache/incubator-mxnet/pull/16195#discussion_r326442272
##
File path: src/operator/nn/mkldnn/mkldnn_act-inl.h
##
@@ -67,8 +63,28 @@ MKLDNNActForward &GetActF
Jerryzcn commented on issue #16215: New ops for RCNN + old ops improvements for
RCNN
URL: https://github.com/apache/incubator-mxnet/pull/16215#issuecomment-533361303
> can we have unit tests for `box_encode` and `box_decode`?
sure
eric-haibin-lin commented on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-533360136
If we have a chance for another RC, we should port
https://github.com/apache/incubator-mxnet/pull/15240 and
https://github.com/apa
TristonC commented on issue #16201: using gluon/image_classification.py img/sec
speed up when metric update and reset when turned off
URL:
https://github.com/apache/incubator-mxnet/issues/16201#issuecomment-533359934
The speedup is not real. And it is due to the asynchronous computation of
access2rohit commented on issue #16178: [WIP]improving argmax perf
URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-533359314
@drivanov can you make changes to GPU part only ? My optimizations are
particularly for CPU and speedup is roughly is 10x in some specific case
CynthiaProtector commented on issue #15962: ResNet18_v2 under the directory of
/mxnet/example/gluon
URL:
https://github.com/apache/incubator-mxnet/issues/15962#issuecomment-533357349
The other reason is that no data augmentation is applied in the training
process, therefore, the final tes
CynthiaProtector commented on issue #15863: Training ResNet-20 with CIFAR-10
does not converge with MXNet1.3.0
URL:
https://github.com/apache/incubator-mxnet/issues/15863#issuecomment-533356488
Thakns, zachgk. I do not build the Resnet-20 on my own, I used the ResNet-20
under the director
wkcn commented on a change in pull request #16218: Improving performance of
argmax operator
URL: https://github.com/apache/incubator-mxnet/pull/16218#discussion_r326425576
##
File path: src/operator/tensor/broadcast_reduce_op.h
##
@@ -556,6 +556,162 @@ inline bool ReduceAx
wkcn commented on a change in pull request #16218: Improving performance of
argmax operator
URL: https://github.com/apache/incubator-mxnet/pull/16218#discussion_r326428347
##
File path: src/operator/tensor/broadcast_reduce_op_index.cu
##
@@ -43,5 +43,18 @@ NNVM_REGISTER_OP
wkcn commented on a change in pull request #16218: Improving performance of
argmax operator
URL: https://github.com/apache/incubator-mxnet/pull/16218#discussion_r326427720
##
File path: src/operator/tensor/broadcast_reduce_op.h
##
@@ -556,6 +556,162 @@ inline bool ReduceAx
aaronmarkham commented on issue #14329: [Flaky] flaky test in
test_operator_gpu.test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/14329#issuecomment-533353291
Failed again!
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validat
wkcn edited a comment on issue #15836: The pre-built MXNet package on Windows
uses the older master branch
URL:
https://github.com/apache/incubator-mxnet/issues/15836#issuecomment-533345816
Close it since the issue has been solved. The reason is that ‘git pull’
fails in the building syste
wkcn closed issue #15836: The pre-built MXNet package on Windows uses the older
master branch
URL: https://github.com/apache/incubator-mxnet/issues/15836
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wkcn commented on issue #15836: The pre-built MXNet package on Windows uses the
older master branch
URL:
https://github.com/apache/incubator-mxnet/issues/15836#issuecomment-533345816
Close it since the issue has been solved.
Thank @yajiedesign for the fix : )
-
drivanov commented on issue #16178: [WIP]improving argmax perf
URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-533344638
@access2rohit:
- I was working in the same task and I just filed following PR:
https://github.com/apache/incubator-mxnet/pull/16218.
-Curren
zachgk closed issue #15254:
mxnet(mxnet-full_2.11-linux-x86_64-gpu-1.5.0-SNAPSHOT) cannot support cuda10.1?
URL: https://github.com/apache/incubator-mxnet/issues/15254
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zachgk commented on issue #15254:
mxnet(mxnet-full_2.11-linux-x86_64-gpu-1.5.0-SNAPSHOT) cannot support cuda10.1?
URL:
https://github.com/apache/incubator-mxnet/issues/15254#issuecomment-54199
@tomoncle I am closing this issue because it seems like all the problems
were addressed. Ple
zachgk commented on issue #15863: Training ResNet-20 with CIFAR-10 does not
converge with MXNet1.3.0
URL:
https://github.com/apache/incubator-mxnet/issues/15863#issuecomment-50532
How were you building ResNet and running the training? Can you share the
script/code or a minimal example
drivanov opened a new pull request #16218: Improving performance of argmax
operator
URL: https://github.com/apache/incubator-mxnet/pull/16218
## Description ##
In average, this implementation of `argmax` operator runs 4.2x faster on CPU
and 7.8x faster on GPU, than the previous one.
zachgk commented on issue #16002: How to get sliding window output?
URL:
https://github.com/apache/incubator-mxnet/issues/16002#issuecomment-533327101
You would want to use a for loop to construct the indices input to gather_nd.
```
a = mx.nd.array([0,1,2,3,4,5])
indices = mx.n
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reminisce pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 6af6570 fix flaky test (#16191)
add 6247dc8 [Numpy] Differentiable svd (#15795)
No new revisions
reminisce merged pull request #15795: [Numpy] Differentiable svd
URL: https://github.com/apache/incubator-mxnet/pull/15795
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aaronmarkham opened a new issue #16217: CI failure -
test_operator_gpu.test_update_ops_mutation
URL: https://github.com/apache/incubator-mxnet/issues/16217
Failed a run on an unrelated update:
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/d
mxnet-label-bot commented on issue #16217: CI failure -
test_operator_gpu.test_update_ops_mutation
URL:
https://github.com/apache/incubator-mxnet/issues/16217#issuecomment-533322558
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some label
access2rohit commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was:
APIs that might be a good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-533319840
we need to fix this issue as well
https://github.com/apache/incubator-mxnet/issues/
access2rohit commented on issue #16216: Inconsistent behaviour nd.argmax
against np.argmax when there are 'nans' in data
URL:
https://github.com/apache/incubator-mxnet/issues/16216#issuecomment-533319492
@reminisce @szha
Th
access2rohit commented on issue #16216: Inconsistent behaviour nd.argmax
against np.argmax when there are 'nans' in data
URL:
https://github.com/apache/incubator-mxnet/issues/16216#issuecomment-533319447
@mxnet-label-bot add [numpy]
mxnet-label-bot commented on issue #16216: Inconsistent behaviour nd.argmax
against np.argmax when there are 'nans' in data
URL:
https://github.com/apache/incubator-mxnet/issues/16216#issuecomment-533318560
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will t
donhk1011 commented on issue #16002: How to get sliding window output?
URL:
https://github.com/apache/incubator-mxnet/issues/16002#issuecomment-533318506
Hi,
Thanks for the reply. Is it possible to use gather_nd with something like
for-loop?
Could you please give me an example of how
access2rohit opened a new issue #16216: Inconsistent behaviour nd.argmax
against np.argmax when there are 'nans' in data
URL: https://github.com/apache/incubator-mxnet/issues/16216
>>> import mxnet as mx
>>> import mxnet.ndarray as nd
>>> x = np.array([[1,5,3],[float('nan'), 2,6]])
zachgk commented on issue #15962: ResNet18_v2 under the directory of
/mxnet/example/gluon
URL:
https://github.com/apache/incubator-mxnet/issues/15962#issuecomment-533315371
Your training accuracy is going to 100 so your model is probably overfitting
the dataset
(https://www.d2l.ai/chapte
zachgk edited a comment on issue #15962: ResNet18_v2 under the directory of
/mxnet/example/gluon
URL:
https://github.com/apache/incubator-mxnet/issues/15962#issuecomment-533315371
Your training accuracy is going to 1.0 so your model is probably overfitting
the dataset
(https://www.d2l.ai
zachgk commented on issue #16002: How to get sliding window output?
URL:
https://github.com/apache/incubator-mxnet/issues/16002#issuecomment-533311290
I don't think so. You could try using gather_nd as a workaround.
This is a
Jerryzcn opened a new pull request #16215: New ops for RCNN + old ops
improvements for RCNN
URL: https://github.com/apache/incubator-mxnet/pull/16215
## Description ##
1. Box Encoder for RCNN
2. Box Decoder for RCNN
3. amp_multicast can cast to narrowest type now
4. roi_align i
zachgk commented on issue #16010: DropConnect Layer
URL:
https://github.com/apache/incubator-mxnet/issues/16010#issuecomment-533298429
The tensorflow workaround you gave is to call dropout on the weight layer
and then multiply by the probability for the dropout layer to undo the weight
ch
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apeforest pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from f5d8fbf New Website: Remove Old Content [2/3] (#15885)
add 6af6570 fix flaky test (#16191)
No new
apeforest merged pull request #16191: Fix flaky test in test_profiler
URL: https://github.com/apache/incubator-mxnet/pull/16191
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reminisce commented on a change in pull request #15902: Numpy add numpy op roll
URL: https://github.com/apache/incubator-mxnet/pull/15902#discussion_r326359220
##
File path: src/operator/numpy/np_matrix_op.cc
##
@@ -345,5 +346,73 @@ Examples::
.add_argument("data", "NDArra
szha commented on issue #16207: Bump numpy version >=1.17.0
URL: https://github.com/apache/incubator-mxnet/pull/16207#issuecomment-533276349
@leezu FYI
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perdasilva commented on issue #16202: [CD] Add COMMIT_ID param to release job
URL: https://github.com/apache/incubator-mxnet/pull/16202#issuecomment-533264342
@aaronmarkham also - no problem with you blocking it. I know you want to get
this website released hehehe
-
perdasilva commented on issue #16202: [CD] Add COMMIT_ID param to release job
URL: https://github.com/apache/incubator-mxnet/pull/16202#issuecomment-533264119
@aaronmarkham
**Can you explain removing the git_sha param?**
That was left-over from a previous CD PR. We originally had the
ptrendx commented on a change in pull request #16039: FullyConnected Bias
performance improvement on GPU
URL: https://github.com/apache/incubator-mxnet/pull/16039#discussion_r326333603
##
File path: src/operator/nn/fully_connected-inl.h
##
@@ -169,19 +355,7 @@ void FCBackw
ptrendx commented on a change in pull request #16039: FullyConnected Bias
performance improvement on GPU
URL: https://github.com/apache/incubator-mxnet/pull/16039#discussion_r326332767
##
File path: src/operator/nn/fully_connected-inl.h
##
@@ -169,19 +355,7 @@ void FCBackw
anirudh2290 opened a new issue #16214: test_sync_batchnorm failure on p3.8xlarge
URL: https://github.com/apache/incubator-mxnet/issues/16214
test_sync_batchnorm behaves differently when there are different number of
gpu devices on the machine. It fails on p3.8xlarge but when num_devices are
mxnet-label-bot commented on issue #16214: test_sync_batchnorm failure on
p3.8xlarge
URL:
https://github.com/apache/incubator-mxnet/issues/16214#issuecomment-533260677
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the
reminisce commented on issue #16209: complex data type support and numpy
operator fft
URL: https://github.com/apache/incubator-mxnet/pull/16209#issuecomment-533257194
Cc @sxjscience who implemented the first FFT version in MXNet.
---
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aaronmarkham pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from a37a76c Float64 fallback for mkldnn subgraph and rnn op (#15853)
add f5d8fbf New Website: Remov
aaronmarkham merged pull request #15885: New Website: Remove Old Content [2/3]
URL: https://github.com/apache/incubator-mxnet/pull/15885
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sxjscience commented on issue #15331: [fix] missing input log higher order.
URL: https://github.com/apache/incubator-mxnet/pull/15331#issuecomment-533247431
I guess we need to add a test case.
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zachgk commented on issue #14479: Unable to load mxnet-cu100 on Windows 10
after install
URL:
https://github.com/apache/incubator-mxnet/issues/14479#issuecomment-533246890
You should need the CUDA version to match exactly. So, 10.0 for mxnet-cu100
or 10.1 for mxnet-cu101.
---
sxjscience commented on a change in pull request #16198: [fix] Update
`test_update_ops_mutation` tolerance
URL: https://github.com/apache/incubator-mxnet/pull/16198#discussion_r326306336
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1887,14 +1888,16 @@ def che
kshitij12345 commented on issue #15331: [fix] missing input log higher order.
URL: https://github.com/apache/incubator-mxnet/pull/15331#issuecomment-533221968
@apeforest @larroy Gentle Ping.
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kshitij12345 commented on a change in pull request #16198: [fix] Update
`test_update_ops_mutation` tolerance
URL: https://github.com/apache/incubator-mxnet/pull/16198#discussion_r326269261
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1887,14 +1888,16 @@ def c
TaoLv opened a new pull request #16213: [mkldnn-v1.0][Don't merge] Trigger CI
after merging the master branch
URL: https://github.com/apache/incubator-mxnet/pull/16213
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please fe
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taolv pushed a change to branch mkldnn-v1.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 1ff9429 [mkldnn-v1.0] Add MKL-DNN Convolution (#16141)
add e87995d Reducing memory footprint of o
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taolv pushed a commit to branch mkldnn-v1.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
commit 99145a5014f62375a36a23da26efd77527385136
Merge: 1ff9429 a37a76c
Author: Tao Lv
AuthorDate: Thu Sep 19 23:18
hzfan commented on a change in pull request #16100: Infra for tvm op runtime
dispatch
URL: https://github.com/apache/incubator-mxnet/pull/16100#discussion_r326247201
##
File path: contrib/tvmop/compile.py
##
@@ -37,23 +40,57 @@ def get_target(device):
parser = argpars
QueensGambit edited a comment on issue #15632: Building MxNet with CPP_PACKAGE
on Windows10 (2019-07-23)
URL:
https://github.com/apache/incubator-mxnet/issues/15632#issuecomment-533182265
Hello @JiaoPaner.
Yes, the reason for the higher memory footprint is because the
`-DCMAKE_BUILD_TY
QueensGambit edited a comment on issue #15632: Building MxNet with CPP_PACKAGE
on Windows10 (2019-07-23)
URL:
https://github.com/apache/incubator-mxnet/issues/15632#issuecomment-533182265
Hello @JiaoPaner.
Yes, the reason is because the `-DCMAKE_BUILD_TYPE=Release` argument is
missing
QueensGambit edited a comment on issue #15632: Building MxNet with CPP_PACKAGE
on Windows10 (2019-07-23)
URL:
https://github.com/apache/incubator-mxnet/issues/15632#issuecomment-533182265
Hello @JiaoPaner.
Yes, the reason is because the `-DCMAKE_BUILD_TYPE=Release` argument is
missing
QueensGambit commented on issue #15632: Building MxNet with CPP_PACKAGE on
Windows10 (2019-07-23)
URL:
https://github.com/apache/incubator-mxnet/issues/15632#issuecomment-533182265
Hello @JiaoPaner.
Yes, the reason is because the `-DCMAKE_BUILD_TYPE=Release` argument is
missing in the
JiaoPaner commented on issue #14116: Failure in generated op.h in version 1.3.1
URL:
https://github.com/apache/incubator-mxnet/issues/14116#issuecomment-533179076
Facing the same error when compiling 1.5.0.
Now have it fixed?
JiaoPaner edited a comment on issue #15632: Building MxNet with CPP_PACKAGE on
Windows10 (2019-07-23)
URL:
https://github.com/apache/incubator-mxnet/issues/15632#issuecomment-533146349
facing the same error. Is there any other solution?
JiaoPaner commented on issue #15632: Building MxNet with CPP_PACKAGE on
Windows10 (2019-07-23)
URL:
https://github.com/apache/incubator-mxnet/issues/15632#issuecomment-533146349
face the same error. is there any other solution?
-
perdasilva commented on issue #16202: [CD] Add COMMIT_ID param to release job
URL: https://github.com/apache/incubator-mxnet/pull/16202#issuecomment-533145539
@zachgk if this is all good, please merge - the pipeline works. The failures
are either due to flakyness or a persistent problem tha
This is an automated email from the ASF dual-hosted git repository.
anirudh2290 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 d54069d Bump the publish
SayHiRay opened a new pull request #16212: Fix inconsistent interpolation
method values
URL: https://github.com/apache/incubator-mxnet/pull/16212
In cv2, bicubic interpolation should be represented by 2, and area-based
interpolation should be 3. This is correct in the docstring of `imresiz
iblis17 commented on issue #16178: [WIP]improving argmax perf
URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-533119983
The failure case is this:
```julia
julia> x
fantajeon edited a comment on issue #14774: Port binding failed in distributed
training example
URL:
https://github.com/apache/incubator-mxnet/issues/14774#issuecomment-533109093
How about this: DMLC_USE_KUBERNETES=1 .
When ps library binding with address and port, it would set address
fantajeon commented on issue #14774: Port binding failed in distributed
training example
URL:
https://github.com/apache/incubator-mxnet/issues/14774#issuecomment-533109093
How about this: DMLC_USE_KUBERNETES=1 .
When ps library binding with address and port, it would set address =
0.0
pengzhao-intel closed issue #16177: How to dump quantized weights from MKLDNN
as Ndarray
URL: https://github.com/apache/incubator-mxnet/issues/16177
This is an automated message from the Apache Git Service.
To respond to the
pengzhao-intel commented on issue #16177: How to dump quantized weights from
MKLDNN as Ndarray
URL:
https://github.com/apache/incubator-mxnet/issues/16177#issuecomment-533101017
closing sine the question is answered :)
Feel free to reopen or answer more
hgt312 commented on a change in pull request #16009: [Numpy] Numpy compatible
bitwise_and operator
URL: https://github.com/apache/incubator-mxnet/pull/16009#discussion_r326084892
##
File path: src/operator/elemwise_op_common.h
##
@@ -186,6 +186,25 @@ inline bool ElemwiseTy
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