LuckyPigeon commented on issue #12781: Fixed issue #12745
URL: https://github.com/apache/incubator-mxnet/pull/12781#issuecomment-459244806
@sandeep-krishnamurthy Updated!
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szha commented on issue #14030: The bug in MXTVMBridge
URL:
https://github.com/apache/incubator-mxnet/issues/14030#issuecomment-459237845
In pip we use symbol whitelist
https://github.com/apache/incubator-mxnet/blob/master/make/config/libmxnet.ver.
Is any required function missing from
xinyu-intel closed pull request #13867: [Hot Fix]Temporary Disable MKL-DNN for
building R-Package
URL: https://github.com/apache/incubator-mxnet/pull/13867
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xinyu-intel commented on issue #13867: [Hot Fix]Temporary Disable MKL-DNN for
building R-Package
URL: https://github.com/apache/incubator-mxnet/pull/13867#issuecomment-459231671
#13952 merged. Close this PR now.
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hetong007 merged pull request #13952: Fix MXNet R package build
URL: https://github.com/apache/incubator-mxnet/pull/13952
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szha edited a comment on issue #13816: Add default parameters for Scala
NDArray.arange
URL: https://github.com/apache/incubator-mxnet/pull/13816#issuecomment-459217043
Thanks for the explanation. Since this option never worked, I'd recommend
setting the python default value for it to
szha commented on issue #13816: Add default parameters for Scala NDArray.arange
URL: https://github.com/apache/incubator-mxnet/pull/13816#issuecomment-459217043
Thanks for the explanation. Since this option never worked, I'd recommend
setting the python default value for it to None, and
kiendang commented on issue #13816: Add default parameters for Scala
NDArray.arange
URL: https://github.com/apache/incubator-mxnet/pull/13816#issuecomment-459211902
I doubt anyone would manually include `infer_range` since setting
non-default value `infer_range=True` for `ndarray.arange`
szha commented on issue #13816: Add default parameters for Scala NDArray.arange
URL: https://github.com/apache/incubator-mxnet/pull/13816#issuecomment-459209573
@kiendang since the python interface was already released in previous
versions, any code that includes value for infer_range in
rajeshii commented on a change in pull request #13952: Fix MXNet R package build
URL: https://github.com/apache/incubator-mxnet/pull/13952#discussion_r252529918
##
File path: ci/docker/runtime_functions.sh
##
@@ -902,6 +902,22 @@ unittest_ubuntu_cpu_R() {
make
ianferreira opened a new issue #14034: err == cudaSuccess (4 vs. 0) Name:
MapPlanKernel ErrStr:unspecified launch failure when training
URL: https://github.com/apache/incubator-mxnet/issues/14034
## Description
err == cudaSuccess (4 vs. 0) Name: MapPlanKernel ErrStr:unspecified launch
DickJC123 edited a comment on issue #14029: Out of memory error in 3d Conv for
matrix splits > 10, CUDNN strange behaviour
URL:
https://github.com/apache/incubator-mxnet/issues/14029#issuecomment-459178708
I was able to repro this OOM on a 12G Pascal. At the point of failure, it
was
DickJC123 commented on issue #14029: Out of memory error in 3d Conv for matrix
splits > 10, CUDNN strange behaviour
URL:
https://github.com/apache/incubator-mxnet/issues/14029#issuecomment-459178708
I was able to repro this OOM on a 12G Pascal. At the point of failure, it
was asking for
stu1130 opened a new pull request #14033: update the scala installation
tutorial on intellij
URL: https://github.com/apache/incubator-mxnet/pull/14033
## Description ##
Fix the scala installation doc
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
apeforest commented on issue #14032: re-enable flaky test
URL: https://github.com/apache/incubator-mxnet/pull/14032#issuecomment-459174477
@mxnet-label-bot add [pr-awaiting-review]
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zhreshold commented on issue #14031: [WIP] Fix transposed convolution in CPU
w/o MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/14031#issuecomment-459172391
Can you verify the result in unittest?
This is an
apeforest edited a comment on issue #14031: Fix transposed convolution in CPU
w/o MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/14031#issuecomment-459169198
Just noticed that `test_deconvolution` in unit test has been disabled for a
long time and was not re-enabled although
apeforest edited a comment on issue #14031: Fix transposed convolution in CPU
w/o MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/14031#issuecomment-459169198
Just noticed that `test_deconvolution` in unit test has been disabled for a
long time and was not re-enabled although
apeforest opened a new pull request #14032: re-enable flaky test
URL: https://github.com/apache/incubator-mxnet/pull/14032
## Description ##
According to https://github.com/apache/incubator-mxnet/issues/10973, this
test should no longer be flaky. Re-enable it to test deconvolution
apeforest commented on issue #14031: [WIP] Fix transposed convolution in CPU
w/o MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/14031#issuecomment-459170057
@zhreshold @thomelane Please help to review. Thanks!
apeforest commented on issue #14031: [WIP] Fix transposed convolution in CPU
w/o MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/14031#issuecomment-459169198
Just noticed that `test_deconvolution` in unit test has been disabled for a
long time and was not re-enabled although
apeforest opened a new pull request #14031: Fix transposed convolution in CPU
w/o MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/14031
## Description ##
transposed convolution operator in CPU w/o MKLDNN is not working properly
when dilation is set. This is because the
anirudhacharya commented on a change in pull request #14023: [R] Add NAG
optimizer
URL: https://github.com/apache/incubator-mxnet/pull/14023#discussion_r252488806
##
File path: R-package/tests/testthat/test_optimizer.R
##
@@ -164,22 +170,82 @@ test_that("adadelta", {
y
wkcn opened a new issue #14030: The bug in MXTVMBridge
URL: https://github.com/apache/incubator-mxnet/issues/14030
## Description
Hi, there.
I would like to use `MXTVMBridge` to accelerate my project, but there is a
flaky problem.
The example works when MXNet is built from
mxnet-label-bot commented on issue #14030: The bug in MXTVMBridge
URL:
https://github.com/apache/incubator-mxnet/issues/14030#issuecomment-459159294
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the appropriate MXNet
apeforest commented on issue #10973: Flaky test_deconvolution
URL:
https://github.com/apache/incubator-mxnet/issues/10973#issuecomment-459158821
We should re-enable the test if this is fixed. Working on it: def
test_deconvolution():
eric-haibin-lin merged pull request #13890: Improve bulking in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/13890
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haibin pushed a commit to branch master
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new 89c7d57 Improve bulking in Gluon
hetong007 commented on a change in pull request #14023: [R] Add NAG optimizer
URL: https://github.com/apache/incubator-mxnet/pull/14023#discussion_r252482701
##
File path: R-package/tests/testthat/test_optimizer.R
##
@@ -164,22 +170,82 @@ test_that("adadelta", {
y <-
roywei commented on issue #14026: [Nightly Test Failure] Tutorial
test_tutorials.test_gluon_end_to_end Test Failure
URL:
https://github.com/apache/incubator-mxnet/issues/14026#issuecomment-459141736
@mseth10 @ThomasDelteil I m looking into it.
ThomasDelteil commented on issue #14026: [Nightly Test Failure] Tutorial
test_tutorials.test_gluon_end_to_end Test Failure
URL:
https://github.com/apache/incubator-mxnet/issues/14026#issuecomment-459137104
@roywei it times out, too many epochs or too long dataset download
ThomasDelteil commented on issue #13411: Gluon end to end tutorial
URL: https://github.com/apache/incubator-mxnet/pull/13411#issuecomment-459136571
@roywei Have you added this tutorial to the index? Can't find it on the
website
vdantu edited a comment on issue #14029: Out of memory error in 3d Conv for
matrix splits > 10, CUDNN strange behaviour
URL:
https://github.com/apache/incubator-mxnet/issues/14029#issuecomment-459130296
@mxnet-label-bot remove [Cuda]
vdantu commented on issue #14029: Out of memory error in 3d Conv for matrix
splits > 10, CUDNN strange behaviour
URL:
https://github.com/apache/incubator-mxnet/issues/14029#issuecomment-459130296
@mxnet-label-bot delete [Cuda]
satyakrishnagorti edited a comment on issue #6874:
mx.symbol.softmax_cross_entropy() raises error "Not enough argument to call
operator softmax_cross_entropy"
URL:
https://github.com/apache/incubator-mxnet/issues/6874#issuecomment-459117398
This is still an issue.
Steps to
satyakrishnagorti commented on issue #6874: mx.symbol.softmax_cross_entropy()
raises error "Not enough argument to call operator softmax_cross_entropy"
URL:
https://github.com/apache/incubator-mxnet/issues/6874#issuecomment-459117398
This is still an issue. I don't know why this issue has
leleamol commented on a change in pull request #13680: [MXNET-1121] Example to
demonstrate the inference workflow using RNN
URL: https://github.com/apache/incubator-mxnet/pull/13680#discussion_r252445802
##
File path:
leleamol commented on a change in pull request #13680: [MXNET-1121] Example to
demonstrate the inference workflow using RNN
URL: https://github.com/apache/incubator-mxnet/pull/13680#discussion_r252445587
##
File path: cpp-package/example/inference/sentiment_analysis_rnn.cpp
leleamol commented on a change in pull request #13680: [MXNET-1121] Example to
demonstrate the inference workflow using RNN
URL: https://github.com/apache/incubator-mxnet/pull/13680#discussion_r252445321
##
File path: cpp-package/example/inference/sentiment_analysis_rnn.cpp
ptrendx commented on issue #13713: MXNet usage on non-AWS cloud providers
URL:
https://github.com/apache/incubator-mxnet/issues/13713#issuecomment-459114784
The way NVIDIA containers work is as follows:
- https://ngc.nvidia.com container repository gives access to all
containers
szha commented on issue #13964: Addresses comments in runtime feature discovery
API
URL: https://github.com/apache/incubator-mxnet/pull/13964#issuecomment-459112043
since the information is fixed after compilation, libinfo sounds more
accurate. there's no need to maintain the consistency
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new c939c2d float32 -> float16 cast
szha merged pull request #13857: float32 -> float16 cast consistency across
implementations
URL: https://github.com/apache/incubator-mxnet/pull/13857
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safrooze commented on a change in pull request #13735: update wavenet codes
URL: https://github.com/apache/incubator-mxnet/pull/13735#discussion_r252419590
##
File path: example/gluon/wavenet/models.py
##
@@ -0,0 +1,118 @@
+
+# Licensed to the Apache Software Foundation
zhreshold commented on issue #13945: dataloader crashes with threads and slow
downs with processes
URL:
https://github.com/apache/incubator-mxnet/issues/13945#issuecomment-459089100
@mfiore
Is your dataset small, do you know how many batches in each epoch? If it's
small, the
ThomasDelteil closed issue #13227: Missing return value documentation for
nd.random.* and sym.random.*
URL: https://github.com/apache/incubator-mxnet/issues/13227
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vdantu commented on issue #14029: Out of memory error in 3d Conv for matrix
splits > 10, CUDNN strange behaviour
URL:
https://github.com/apache/incubator-mxnet/issues/14029#issuecomment-459081468
@mxnet-label-bot add [Bug, Cuda, memory]
anirudhacharya commented on issue #13945: dataloader crashes with threads and
slow downs with processes
URL:
https://github.com/apache/incubator-mxnet/issues/13945#issuecomment-459077481
ThreadPool support was introduced in this PR
https://github.com/apache/incubator-mxnet/pull/13606
DickJC123 commented on issue #14029: Out of memory error in 3d Conv for matrix
splits > 10, CUDNN strange behaviour
URL:
https://github.com/apache/incubator-mxnet/issues/14029#issuecomment-459075374
We will investigate and loop-in the cudnn team.
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yuxihu edited a comment on issue #13857: float32 -> float16 cast consistency
across implementations
URL: https://github.com/apache/incubator-mxnet/pull/13857#issuecomment-459064862
@mxnet-label-bot update [Operator, pr-awaiting-merge]
yuxihu commented on issue #13857: float32 -> float16 cast consistency across
implementations
URL: https://github.com/apache/incubator-mxnet/pull/13857#issuecomment-459064862
@mxnet-label-bot update [pr-awaiting-merge]
This
mseth10 commented on issue #14026: [Nightly Test Failure] Tutorial
test_tutorials.test_gluon_end_to_end Test Failure
URL:
https://github.com/apache/incubator-mxnet/issues/14026#issuecomment-459049758
@roywei can you please take a look at this failure. It is probably caused by
your PR.
larroy commented on issue #13857: float32 -> float16 cast consistency across
implementations
URL: https://github.com/apache/incubator-mxnet/pull/13857#issuecomment-459049231
Sorry, having a look now.
This is an automated
Vikas89 commented on issue #14029: Out of memory error in 3d Conv for matrix
splits > 10, CUDNN strange behaviour
URL:
https://github.com/apache/incubator-mxnet/issues/14029#issuecomment-459040588
This looks like cuDNN implementation bug,
Looks like different code inside cudnn is
Vikas89 commented on issue #14029: Out of memory error in 3d Conv for matrix
splits > 10, CUDNN strange behaviour
URL:
https://github.com/apache/incubator-mxnet/issues/14029#issuecomment-459039082
Thanks, I was able to repro the issue.
With slice of 11, looks like it is going
Vikas89 opened a new issue #14029: Out of memory error in 3d Conv for matrix
splits > 10, CUDNN strange behaviour
URL: https://github.com/apache/incubator-mxnet/issues/14029
## Description
Memory bloat(OOM) in 3D Conv when matrix split size is greater than 10 .
If I run this
piyushghai commented on a change in pull request #14020: Fix jar path and add
missing ones for spark jobs
URL: https://github.com/apache/incubator-mxnet/pull/14020#discussion_r252361658
##
File path:
mbrookhart commented on a change in pull request #12502: [NGRAPH] MXNet -
nGraph initial integration
URL: https://github.com/apache/incubator-mxnet/pull/12502#discussion_r252355445
##
File path: include/mxnet/ndarray.h
##
@@ -779,6 +783,12 @@ class NDArray {
void
edisongustavo opened a new pull request #14028: Cmake blas
URL: https://github.com/apache/incubator-mxnet/pull/14028
## Description ##
Eases the pain of linking with OpenBLAS using cmake.
This PR adds support to using the
### Justification for the change
The
ChaiBapchya commented on a change in pull request #14020: Fix jar path and add
missing ones for spark jobs
URL: https://github.com/apache/incubator-mxnet/pull/14020#discussion_r252330607
##
File path:
pengzhao-intel commented on a change in pull request #13952: Fix MXNet R
package build
URL: https://github.com/apache/incubator-mxnet/pull/13952#discussion_r252301437
##
File path: ci/docker/runtime_functions.sh
##
@@ -902,6 +902,22 @@ unittest_ubuntu_cpu_R() {
make
iblis17 opened a new pull request #14027: Julia: rename `mx.clip` to `clamp`
for `NDArray`
URL: https://github.com/apache/incubator-mxnet/pull/14027
- in order to match Base interface
- depwarn for `mx.clip` included
## Checklist ##
- [x] Changes are complete
-
seujung commented on a change in pull request #13735: update wavenet codes
URL: https://github.com/apache/incubator-mxnet/pull/13735#discussion_r252286024
##
File path: example/gluon/wavenet/trainer.py
##
@@ -0,0 +1,130 @@
+# Licensed to the Apache Software Foundation
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iblis pushed a change to branch ib/base-clamp
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
discard 94c90ca Julia: rename `mx.clip` to `clamp` for `NDArra`
new 26b88b8 Julia: rename `mx.clip` to
seujung commented on a change in pull request #13735: update wavenet codes
URL: https://github.com/apache/incubator-mxnet/pull/13735#discussion_r252277521
##
File path: example/gluon/wavenet/README.md
##
@@ -0,0 +1,53 @@
+# WaveNet with Gluon
+
+Gluon implementation of
seujung commented on a change in pull request #13735: update wavenet codes
URL: https://github.com/apache/incubator-mxnet/pull/13735#discussion_r252269415
##
File path: example/gluon/wavenet/models.py
##
@@ -0,0 +1,118 @@
+
+# Licensed to the Apache Software Foundation
seujung commented on a change in pull request #13735: update wavenet codes
URL: https://github.com/apache/incubator-mxnet/pull/13735#discussion_r252266806
##
File path: example/gluon/wavenet/README.md
##
@@ -0,0 +1,53 @@
+# WaveNet with Gluon
+
+Gluon implementation of
TaoLv closed issue #10092: No "full" pooling convention support with MKL-DNN
URL: https://github.com/apache/incubator-mxnet/issues/10092
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TaoLv commented on issue #10092: No "full" pooling convention support with
MKL-DNN
URL:
https://github.com/apache/incubator-mxnet/issues/10092#issuecomment-458951950
Closed via https://github.com/apache/incubator-mxnet/pull/11047
TaoLv commented on issue #13699: add mkldnn softmax_output
URL: https://github.com/apache/incubator-mxnet/pull/13699#issuecomment-458950519
Ping @szha @eric-haibin-lin for review. Thank you.
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TaoLv commented on issue #13895: Add an inference script providing both
accuracy and benchmark result for original wide_n_deep example
URL: https://github.com/apache/incubator-mxnet/pull/13895#issuecomment-458949900
@ZiyueHuang Could you help to review the change?
TaoLv commented on a change in pull request #13895: Add an inference script
providing both accuracy and benchmark result for original wide_n_deep example
URL: https://github.com/apache/incubator-mxnet/pull/13895#discussion_r252259692
##
File path:
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zhasheng pushed a commit to branch asf-site
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rajeshii commented on issue #13952: Fix MXNet R package build
URL: https://github.com/apache/incubator-mxnet/pull/13952#issuecomment-458921395
@pengzhao-intel @xinyu-intel @marcoabreu All tests pass now:)
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Chancebair commented on issue #14026: [Nightly Test Failure] Tutorial
test_tutorials.test_gluon_end_to_end Test Failure
URL:
https://github.com/apache/incubator-mxnet/issues/14026#issuecomment-458902861
@mxnet-label-bot add [Test, Gluon]
Chancebair opened a new issue #14026: [Nightly Test Failure] Tutorial
test_tutorials.test_gluon_end_to_end Test Failure
URL: https://github.com/apache/incubator-mxnet/issues/14026
mxnet-label-bot commented on issue #14026: [Nightly Test Failure] Tutorial
test_tutorials.test_gluon_end_to_end Test Failure
URL:
https://github.com/apache/incubator-mxnet/issues/14026#issuecomment-458900311
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will
kiendang commented on issue #13816: Add default parameters for Scala
NDArray.arange
URL: https://github.com/apache/incubator-mxnet/pull/13816#issuecomment-458871331
@szha From my understanding `infer_range` was proposed in #12064 to infer
`stop` from output shape, but later [in the same
iblis17 commented on issue #14025: Julia: enable integration test
URL: https://github.com/apache/incubator-mxnet/pull/14025#issuecomment-458859161
FYI, the test results are here:
szha commented on issue #14019: SequenceLast undefined behavior
URL:
https://github.com/apache/incubator-mxnet/issues/14019#issuecomment-458855127
Thanks for reporting the issue, @stephenrawls. How do you suggest we define
the behavior when length in put is 0?
larroy edited a comment on issue #13964: Addresses comments in runtime feature
discovery API
URL: https://github.com/apache/incubator-mxnet/pull/13964#issuecomment-458854880
I have been thinking more about this and I would have the following proposal
to address your concerns:
1-
larroy commented on issue #13964: Addresses comments in runtime feature
discovery API
URL: https://github.com/apache/incubator-mxnet/pull/13964#issuecomment-458854880
I have been thinking more about this and I would have the following proposal
to address your concerns:
1- Change
iblis17 opened a new pull request #14025: Julia: enable integration test
URL: https://github.com/apache/incubator-mxnet/pull/14025
Although the coverage of integration test is quite poor, it's better than
nothing.
It runs the mnist training example via SymbolicNode API with different
PistonY commented on issue #13709: Why FP16 training speed is too slow on Tesla
T4 in Gluon?
URL:
https://github.com/apache/incubator-mxnet/issues/13709#issuecomment-458847487
And I tried to only run forward
```python
sta = time.time()
for _ in range(test_num):
with
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