perdasilva commented on issue #12791: [MXNET-1093] Add python3 Docker images
for each MXNet release
URL: https://github.com/apache/incubator-mxnet/pull/12791#issuecomment-461711349
@marcoabreu lets talk about this issue today and come up with the solution.
If the PR does what someone needs
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rajeshii commented on issue #14092: Improve message when quantized_dtype uint8
is used with gpu context
URL:
https://github.com/apache/incubator-mxnet/issues/14092#issuecomment-461705081
Added:)
This is an automated message
rajeshii opened a new pull request #14094: Enhance gpu quantization
URL: https://github.com/apache/incubator-mxnet/pull/14094
## Description ##
As #14092 mentioned, GPU only supports int8 quantization and does not
support uint8. So, add an error message in quantize model function.
pengzhao-intel commented on issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL:
https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-461704672
@stsukrov thanks for the analysis.
I have done several experiments in the local an
pengzhao-intel commented on issue #14092: Improve message when quantized_dtype
uint8 is used with gpu context
URL:
https://github.com/apache/incubator-mxnet/issues/14092#issuecomment-461696571
@rajeshii do you mind to enhance the error message?
pengzhao-intel commented on issue #14093: MKLDNN Unsupported Dimension Bug
URL:
https://github.com/apache/incubator-mxnet/issues/14093#issuecomment-461696140
Thanks the quick answer from @ZhennanQin @xinyu-intel
@stephenrawls thanks to trying the MKLDNN backend and report the potent
xyzdcgan edited a comment on issue #14084: Ctype error, Recompile Mxnet from
Source instead of pip install mxnet Installation
URL:
https://github.com/apache/incubator-mxnet/issues/14084#issuecomment-461691599
@andrewfayres Thank you, i will try build from source instruction and then
will
xinyu-intel commented on issue #14093: MKLDNN Unsupported Dimension Bug
URL:
https://github.com/apache/incubator-mxnet/issues/14093#issuecomment-461693835
@stephenrawls Not in 1.4 branch yet. You can try to build from master and
your feedback is welcome:)
-
stephenrawls commented on issue #14093: MKLDNN Unsupported Dimension Bug
URL:
https://github.com/apache/incubator-mxnet/issues/14093#issuecomment-461693531
Is it in 1.4 branch? I actually changed this code specifically to use 2d
convolution because 1d convolution in mxnet 1.3 is super slow
xyzdcgan commented on issue #14084: Ctype error, Recompile Mxnet from Source
instead of pip install mxnet Installation
URL:
https://github.com/apache/incubator-mxnet/issues/14084#issuecomment-461691599
@andrewfayres Thank you if you can help me regarding that it would be great
and solutio
xinyu-intel commented on issue #14093: MKLDNN Unsupported Dimension Bug
URL:
https://github.com/apache/incubator-mxnet/issues/14093#issuecomment-461690268
@ZhennanQin No, only in master branch.
This is an automated message fr
xinyu-intel commented on issue #14093: MKLDNN Unsupported Dimension Bug
URL:
https://github.com/apache/incubator-mxnet/issues/14093#issuecomment-461687315
@stephenrawls Can you try the latest MXNet? #13530 has enabled Conv1d and 3D
data layout.
ZhennanQin commented on issue #14093: MKLDNN Unsupported Dimension Bug
URL:
https://github.com/apache/incubator-mxnet/issues/14093#issuecomment-461687152
Thanks for reporting this. the error message `Unsupported MKLDNN dimensions:
3` is from
```
mkldnn_memory_format_t GetDefaultForma
stephenrawls commented on issue #14093: MKLDNN Unsupported Dimension Bug
URL:
https://github.com/apache/incubator-mxnet/issues/14093#issuecomment-461685023
@mxnet-label-bot add [Bug]
Not sure how this works. Seeing if I can add a label.
--
mxnet-label-bot commented on issue #14093: MKLDNN Unsupported Dimension Bug
URL:
https://github.com/apache/incubator-mxnet/issues/14093#issuecomment-461684543
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the appropria
stephenrawls opened a new issue #14093: MKLDNN Unsupported Dimension Bug
URL: https://github.com/apache/incubator-mxnet/issues/14093
I am running the following code:
```
import mxnet as mx
import mxnet.gluon as gl
class Foo(gl.nn.HybridBlock):
def __init__(self):
zheng-da commented on a change in pull request #12502: [NGRAPH] MXNet - nGraph
initial integration
URL: https://github.com/apache/incubator-mxnet/pull/12502#discussion_r254937382
##
File path: src/operator/contrib/ngraph-inl.h
##
@@ -0,0 +1,160 @@
+/*
+ * Licensed to the A
zheng-da commented on a change in pull request #12502: [NGRAPH] MXNet - nGraph
initial integration
URL: https://github.com/apache/incubator-mxnet/pull/12502#discussion_r254941634
##
File path: src/operator/contrib/ngraph-inl.h
##
@@ -0,0 +1,158 @@
+/*
+ * Licensed to the A
zheng-da commented on a change in pull request #12502: [NGRAPH] MXNet - nGraph
initial integration
URL: https://github.com/apache/incubator-mxnet/pull/12502#discussion_r254941527
##
File path: src/operator/subgraph/partition_graph.cc
##
@@ -616,6 +619,83 @@ void CutGraphIn
zheng-da commented on a change in pull request #12502: [NGRAPH] MXNet - nGraph
initial integration
URL: https://github.com/apache/incubator-mxnet/pull/12502#discussion_r254940269
##
File path: src/operator/contrib/ngraph.cc
##
@@ -0,0 +1,315 @@
+/*
+ * Licensed to the Apac
anirudh2290 opened a new issue #14092: Improve message when quantized_dtype
uint8 is used with gpu context
URL: https://github.com/apache/incubator-mxnet/issues/14092
## Description
I think quantized_dtype uint8 is not supported with GPU. A better error
message will be useful
##
mxnet-label-bot commented on issue #14092: Improve message when quantized_dtype
uint8 is used with gpu context
URL:
https://github.com/apache/incubator-mxnet/issues/14092#issuecomment-461668978
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and sugges
zheng-da commented on a change in pull request #14090: Add GPU version of
contrib.boolean_mask
URL: https://github.com/apache/incubator-mxnet/pull/14090#discussion_r254934757
##
File path: src/operator/contrib/boolean_mask.cu
##
@@ -0,0 +1,191 @@
+/*
+ * Licensed to the Ap
zheng-da commented on issue #14090: Add GPU version of contrib.boolean_mask
URL: https://github.com/apache/incubator-mxnet/pull/14090#issuecomment-461664291
great work! thanks
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junrushao1994 commented on issue #14090: Add GPU version of contrib.boolean_mask
URL: https://github.com/apache/incubator-mxnet/pull/14090#issuecomment-461655286
Please fix the CI issues :-)
This is an automated message from t
NRauschmayr opened a new issue #14091: BatchNorm error when
use_global_stats=True
URL: https://github.com/apache/incubator-mxnet/issues/14091
## Description
BatchNorm crashes with the following error when use_global_stats=True
## Environment info (Required)
```
-
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new 2ff8ce0 Remove inplace support for ToTens
sandeep-krishnamurthy merged pull request #14083: Remove inplace support for
ToTensor operator
URL: https://github.com/apache/incubator-mxnet/pull/14083
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HyperZealot opened a new pull request #14090: Add GPU version of
contrib.boolean_mask
URL: https://github.com/apache/incubator-mxnet/pull/14090
## Description ##
The same as title
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
piyushghai commented on a change in pull request #14071: [MXNET-1269] Scoverage
URL: https://github.com/apache/incubator-mxnet/pull/14071#discussion_r254923990
##
File path: scala-package/pom.xml
##
@@ -323,11 +341,13 @@
-org.scala-tools
-
jeremiedb commented on issue #5296: KVStore error with certain optimizer
settings - R-package
URL:
https://github.com/apache/incubator-mxnet/issues/5296#issuecomment-461651515
I think the concern would be about potential communication bottleneck: as I
understand the message, there might n
andrewfayres commented on issue #14089: Load dataset directly to vRAM
URL:
https://github.com/apache/incubator-mxnet/issues/14089#issuecomment-461645216
@ginko3 Can you provide more details about which language bindings you're
using and maybe some sample code demonstrating how you're curre
andrewfayres commented on issue #14088: Confusing documentation for
`mx.sym.MakeLoss`
URL:
https://github.com/apache/incubator-mxnet/issues/14088#issuecomment-461644332
@mxnet-label-bot add [doc]
This is an automated message
andrewfayres commented on issue #14088: Confusing documentation for
`mx.sym.MakeLoss`
URL:
https://github.com/apache/incubator-mxnet/issues/14088#issuecomment-461644208
@mxnet-label-bot add [documentation, question]
This is
andrewfayres commented on issue #14084: Ctype error, Recompile Mxnet from
Source instead of pip install mxnet Installation
URL:
https://github.com/apache/incubator-mxnet/issues/14084#issuecomment-461642154
@mxnet-label-bot add [installation]
Looks like you're getting help in the oth
junrushao1994 commented on issue #14018: [MXNET-1315] Add checks for
dynamic-shaped operators in CachedOp
URL: https://github.com/apache/incubator-mxnet/pull/14018#issuecomment-461632614
@szha Hi, just passed the CI. Could you help review this PR?
--
aaronmarkham commented on issue #13647: Update lip reading example
URL: https://github.com/apache/incubator-mxnet/pull/13647#issuecomment-461618966
I put the tar files in a separate bucket so you can pick how you want to
download.
To get the tar files:
```
aws s3 sync s3://mxn
sandeep-krishnamurthy commented on a change in pull request #14083: Remove
inplace support for ToTensor operator
URL: https://github.com/apache/incubator-mxnet/pull/14083#discussion_r254888170
##
File path: src/operator/image/image_random-inl.h
##
@@ -79,16 +79,15 @@ inlin
lichen11 commented on issue #5296: KVStore error with certain optimizer
settings - R-package
URL:
https://github.com/apache/incubator-mxnet/issues/5296#issuecomment-461612944
Using local_allreduce_device works now. Thank you!
I am receiving the following message. Is it something worth b
jeremiedb commented on issue #5296: KVStore error with certain optimizer
settings - R-package
URL:
https://github.com/apache/incubator-mxnet/issues/5296#issuecomment-461608335
I'm afraid that by fixing the memory issue with the optimizer using
executors, it has broken the optimizer update
zhreshold commented on a change in pull request #14083: Do not use operation
request type for ToTensor operator
URL: https://github.com/apache/incubator-mxnet/pull/14083#discussion_r254878856
##
File path: src/operator/image/image_random-inl.h
##
@@ -79,16 +79,15 @@ inline
junrushao1994 removed a comment on issue #14018: [MXNET-1315] Add checks for
dynamic-shaped operators in CachedOp
URL: https://github.com/apache/incubator-mxnet/pull/14018#issuecomment-461200419
Hi, it looks like "Clojure: CPU" fails, could someone help with the error
message? Thanks!
junrushao1994 edited a comment on issue #14018: [MXNET-1315] Add checks for
dynamic-shaped operators in CachedOp
URL: https://github.com/apache/incubator-mxnet/pull/14018#issuecomment-461200419
Hi, it looks like "Clojure: CPU" fails, could someone help with the error
message? Thanks!
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lichen11 commented on issue #5296: KVStore error with certain optimizer
settings - R-package
URL:
https://github.com/apache/incubator-mxnet/issues/5296#issuecomment-461562885
Hi, I am still encountering the problem of training mnist with multiple GPU.
model <- mx.model.FeedForward.
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aashudwivedi 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_r254829086
##
File path:
scala-package/spark/src/test/scala/org/apache/mxnet/spark/SharedSparkContext.sca
hetong007 commented on issue #13859: Newly updated Makefile generate path errors
URL:
https://github.com/apache/incubator-mxnet/issues/13859#issuecomment-461557459
@anirudhacharya do you have references to best practice for multi-GPU
training in R?
lichen11 commented on issue #13859: Newly updated Makefile generate path errors
URL:
https://github.com/apache/incubator-mxnet/issues/13859#issuecomment-461555956
Thanks. I removed the folders and installed new mxnet.
I am following the example
https://mxnet.incubator.apache.org/versio
aashudwivedi commented on issue #13853: Error while running the mxnet spark
examples and test cases
URL:
https://github.com/apache/incubator-mxnet/issues/13853#issuecomment-461555283
@piyushghai unfortunately I still have the same problem and I am not sure
what other information I should
aashudwivedi commented on issue #14020: Fix jar path and add missing ones for
spark jobs
URL: https://github.com/apache/incubator-mxnet/pull/14020#issuecomment-461554686
> Looks okay to me!
> Thanks for fixing this and welcome to the MXNet community :)
Thanks you :)
-
zachgk 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_r254824337
##
File path:
scala-package/spark/src/test/scala/org/apache/mxnet/spark/SharedSparkContext.scala
##
Caenorst commented on a change in pull request #14040: Reformat of TensorRT to
use subgraph API
URL: https://github.com/apache/incubator-mxnet/pull/14040#discussion_r253288854
##
File path: src/operator/subgraph/tensorrt/nnvm_to_onnx.cc
##
@@ -411,6 +383,49 @@ void Convert
Caenorst commented on a change in pull request #14040: Reformat of TensorRT to
use subgraph API
URL: https://github.com/apache/incubator-mxnet/pull/14040#discussion_r253289065
##
File path: include/mxnet/c_api.h
##
@@ -1835,12 +1835,6 @@ MXNET_DLL int MXExecutorReshape(int
reminisce commented on issue #14040: Reformat of TensorRT to use subgraph API
URL: https://github.com/apache/incubator-mxnet/pull/14040#issuecomment-461542427
> Also an argument for onnx-tensorrt is that there is more Ops supported
with plugins implemented (slice, some activation, resize wi
reminisce commented on issue #14040: Reformat of TensorRT to use subgraph API
URL: https://github.com/apache/incubator-mxnet/pull/14040#issuecomment-461539504
> weights for TensorRT node are on CPU while the rest of the graph is on GPU.
This is not true. When binding completes, you ha
Caenorst commented on issue #14040: Reformat of TensorRT to use subgraph API
URL: https://github.com/apache/incubator-mxnet/pull/14040#issuecomment-461536280
@reminisce
Yes, what I mean is that if weights for TensorRT node are on CPU while the
rest of the graph is on GPU, it would be le
reminisce commented on issue #13697: [MKLDNN] Enable signed int8 support for
convolution.
URL: https://github.com/apache/incubator-mxnet/pull/13697#issuecomment-461536191
PR #14060 is merged. Please rebase to trigger CI again. Thanks.
---
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new 26ca37c Exclude concat layer for g
reminisce merged pull request #14060: Exclude concat layer for gpu quantization
URL: https://github.com/apache/incubator-mxnet/pull/14060
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The following commit(s) were added to refs/heads/master by this push:
new 506a25c hybridize rnn and add model graph
sandeep-krishnamurthy merged pull request #13244: hybridize rnn and add model
graph
URL: https://github.com/apache/incubator-mxnet/pull/13244
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The following commit(s) were added to refs/heads/master by this push:
new febbdd4 [MXNET-1121] Example to demonstra
sandeep-krishnamurthy merged pull request #13680: [MXNET-1121] Example to
demonstrate the inference workflow using RNN
URL: https://github.com/apache/incubator-mxnet/pull/13680
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sandeep-krishnamurthy commented on issue #13680: [MXNET-1121] Example to
demonstrate the inference workflow using RNN
URL: https://github.com/apache/incubator-mxnet/pull/13680#issuecomment-461525911
Thanks Amol and all reviewers for this contribution.
Merging the changes as all reviewer
stsukrov edited a comment on issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL:
https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-461476853
@pengzhao-intel
Thanks for a response, Patric!
Tried.
Same story if OMP
stsukrov commented on issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL:
https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-461476853
@pengzhao-intel
Thanks for a response, Patric!
Tried.
Same story if OMP_PLACES
pengzhao-intel commented on issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL:
https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-461450047
@stsukrov could you try the below environment?
> export KMP_AFFINITY=granularit
stsukrov commented on issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL:
https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-461445830
@mxnet-label-bot add [Environment Variables]
--
fhieber opened a new issue #14088: Confusing documentation for `mx.sym.MakeLoss`
URL: https://github.com/apache/incubator-mxnet/issues/14088
The [documentation of
`mx.sym.MakeLoss`](http://mxnet.incubator.apache.org/api/python/symbol/symbol.html?highlight=makeloss#mxnet.symbol.MakeLoss)
is
stsukrov commented on issue #14085: Default cmake build uses openblas instead
of MKL
URL:
https://github.com/apache/incubator-mxnet/issues/14085#issuecomment-461433168
@mxnet-label-bot add [bug, performance]
This is an autom
stsukrov commented on issue #14086: Intel Compiler fails to build mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/14086#issuecomment-461431815
@mxnet-label-bot add [build, compiler error]
This is an automated mess
stsukrov commented on issue #14085: Default cmake build uses openblas instead
of MKL
URL:
https://github.com/apache/incubator-mxnet/issues/14085#issuecomment-461432000
@mxnet-label-bot add [bug, build, cmake]
This is an auto
stsukrov commented on issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL:
https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-461431137
@mxnet-label-bot add [bug, performance, openmp]
---
stsukrov commented on issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL:
https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-461430681
@mxnet-label-bot add [bug]
gordon1992 commented on issue #14000: MXNET-1302 Exclude commons-codec and
commons-io from assembled JAR
URL: https://github.com/apache/incubator-mxnet/pull/14000#issuecomment-461428936
I shall
* resolve the merge conflict
* remove the unnecessary commons dependencies in submodules
stsukrov commented on issue #13846: Unit tests are broken on OSX
URL:
https://github.com/apache/incubator-mxnet/issues/13846#issuecomment-461428698
--Python Info--
Version : 3.7.1
Compiler : Clang 4.0.1 (tags/RELEASE_401/final)
Build: ('default', 'D
stsukrov edited a comment on issue #13846: Unit tests are broken on OSX
URL:
https://github.com/apache/incubator-mxnet/issues/13846#issuecomment-461428698
Sure!
--Python Info--
Version : 3.7.1
Compiler : Clang 4.0.1 (tags/RELEASE_401/final)
Build
mxnet-label-bot commented on issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL:
https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-461423332
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try
stsukrov opened a new issue #14087: Poor performance of the libmxnet if
OMP_PLACES environment variable is present
URL: https://github.com/apache/incubator-mxnet/issues/14087
## Description
Default build depends on both GOMP and Intel OMP runtime.
## Environment info (Required
mxnet-label-bot commented on issue #14086: Intel Compiler fails to build mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/14086#issuecomment-461417275
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the approp
stsukrov opened a new issue #14086: Intel Compiler fails to build mxnet
URL: https://github.com/apache/incubator-mxnet/issues/14086
Note: Providing complete information in the most concise form is the best
way to get help. This issue template serves as the checklist for essential
informati
mxnet-label-bot commented on issue #14085: Default cmake build uses openblas
instead of MKL
URL:
https://github.com/apache/incubator-mxnet/issues/14085#issuecomment-461414376
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
t
stsukrov opened a new issue #14085: Default cmake build uses openblas instead
of MKL
URL: https://github.com/apache/incubator-mxnet/issues/14085
Note: Providing complete information in the most concise form is the best
way to get help. This issue template serves as the checklist for essent
SSE4 commented on issue #13400: [MXNET-1229] use OpenBLAS, lapack & OpenCV from
conan
URL: https://github.com/apache/incubator-mxnet/pull/13400#issuecomment-461413370
@edisongustavo yes, sounds good
This is an automated messa
edisongustavo edited a comment on issue #13400: [MXNET-1229] use OpenBLAS,
lapack & OpenCV from conan
URL: https://github.com/apache/incubator-mxnet/pull/13400#issuecomment-461412755
@SSE4
Thanks a lot for the responses. I believe then we could move forward by
removing this part of
edisongustavo commented on issue #13400: [MXNET-1229] use OpenBLAS, lapack &
OpenCV from conan
URL: https://github.com/apache/incubator-mxnet/pull/13400#issuecomment-461412755
@SSE4
Thanks a lot for the responses. I believe then we could move forward by
removing this part of the ch
mxnet-label-bot commented on issue #14084: Ctype error, Recompile Mxnet from
Source instead of pip install mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/14084#issuecomment-461380378
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and sugg
xyzdcgan opened a new issue #14084: Ctype error, Recompile Mxnet from Source
instead of pip install mxnet
URL: https://github.com/apache/incubator-mxnet/issues/14084
I am trying to solve moon not register error, at present i copied moon file
from mxnet-face to incubator-mxnet/src/operator
SSE4 commented on issue #13400: [MXNET-1229] use OpenBLAS, lapack & OpenCV from
conan
URL: https://github.com/apache/incubator-mxnet/pull/13400#issuecomment-461372230
@edisongustavo
1. for sure I know about targets vs variables approaches in CMake. I suppose
it's just matter of minimum
edisongustavo commented on issue #13400: [MXNET-1229] use OpenBLAS, lapack &
OpenCV from conan
URL: https://github.com/apache/incubator-mxnet/pull/13400#issuecomment-461348850
> 1.there is non-intrusive CMake integration for conan available as well,
check out this article: [conan: transpar
pai-plznw4me commented on issue #1516: Why is Adam much slower than sgd?
URL:
https://github.com/apache/incubator-mxnet/issues/1516#issuecomment-461343958
Internally, adams need two more variables for each weight. Therefore, more
operations are required than Gradient descent and the learni
vandanavk commented on issue #14083: Fix to tensor op to be used as part of the
model graph
URL: https://github.com/apache/incubator-mxnet/pull/14083#issuecomment-461326530
@mxnet-label-bot add [pr-awaiting-review, Operator]
sandeep-krishnamurthy opened a new pull request #14083: Fix to tensor op to be
used as part of the model graph
URL: https://github.com/apache/incubator-mxnet/pull/14083
## Description ##
Remove a stale check for in place update in ToTensor operator.
When fusing transform as part of th
ChaiBapchya edited a comment on issue #14082: Fix nd.pick large array issue
URL: https://github.com/apache/incubator-mxnet/pull/14082#issuecomment-461323625
@mxnet-label-bot add [pr-awaiting-review, NDArray]
This is an automat
ChaiBapchya commented on issue #14082: Fix nd.pick large array issue
URL: https://github.com/apache/incubator-mxnet/pull/14082#issuecomment-461323625
@mxnet-label-bot add [pr-awaiting-review]
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