larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517407376
Using the code provided in this example, the code in the train process is
never executed:
roywei commented on issue #15353: [MXNET-1358]Fit api tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15353#issuecomment-517410842
Update website API docs can be found at:
http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-15353/10/api/python/gluon/contrib.html
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309899275
##
File path: python/mxnet/gluon/utils.py
##
@@ -430,3 +432,44 @@ def shape_is_known(shape):
assert
larroy commented on a change in pull request #15715: Improve diagnose.py to
display environment variables
URL: https://github.com/apache/incubator-mxnet/pull/15715#discussion_r309902245
##
File path: tools/diagnose.py
##
@@ -171,6 +161,31 @@ def check_network(args):
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ptrendx pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 90954ec make TransposeShape infer
ptrendx merged pull request #15713: make TransposeShape infer shape form both
sides
URL: https://github.com/apache/incubator-mxnet/pull/15713
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larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517474497
related: https://github.com/apache/incubator-mxnet/issues/14979
larroy commented on issue #14979: [BUG] Using a package with MKL and GPU
versions, using python to open a new process will cause an error
URL:
https://github.com/apache/incubator-mxnet/issues/14979#issuecomment-517474597
RelWithDebSymbols:
```
Assertion failure at
larroy edited a comment on issue #10856: Failed OpenMP assertion when loading
MXNet compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517474312
well, it's not executing code that should be executed, if you see the linked
issue. Plus producing
larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517474312
well, it's not executing code that should be executed, if you see the linked
issue.
ptrendx commented on issue #15716: Increase amp support for Bi-lstm and Concat
operators in gluon
URL:
https://github.com/apache/incubator-mxnet/issues/15716#issuecomment-517441738
Hi @fierceX, do you have any small example that shows this problem? I will
look into it.
sandeep-krishnamurthy commented on a change in pull request #15715: Improve
diagnose.py to display environment variables
URL: https://github.com/apache/incubator-mxnet/pull/15715#discussion_r309882759
##
File path: tools/diagnose.py
##
@@ -171,6 +161,31 @@ def
access2rohit opened a new pull request #15724: [WIP]Lis slice 4
URL: https://github.com/apache/incubator-mxnet/pull/15724
## Description ##
test CI/CD
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts
pengzhao-intel merged pull request #15448: [MKLDNN]Enhance Quantization APIs
and Tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15448
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The following commit(s) were added to refs/heads/master by this push:
new b3064c5 [MKLDNN]Enhance
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309897708
##
File path: python/mxnet/_ctypes/ndarray.py
##
@@ -118,6 +130,13 @@ def __init__(self, sym, flags=()):
def
mxnet-label-bot commented on issue #15721: Breakage w/ Keras and MxNet 1.5.0:
Error in operator batchnorm... Check failed: i >= 0 && i < ndim(): index = 1
must be in range [0, -1)
URL:
https://github.com/apache/incubator-mxnet/issues/15721#issuecomment-517413751
Hey, this is the MXNet
iamthebot opened a new issue #15721: Breakage w/ Keras and MxNet 1.5.0: Error
in operator batchnorm... Check failed: i >= 0 && i < ndim(): index = 1 must be
in range [0, -1)
URL: https://github.com/apache/incubator-mxnet/issues/15721
Note: Providing complete information in the most
larroy edited a comment on issue #14979: [BUG] Using a package with MKL and GPU
versions, using python to open a new process will cause an error
URL:
https://github.com/apache/incubator-mxnet/issues/14979#issuecomment-517083648
Reproduced with a release CMake build
Also reproduced with
aaronmarkham commented on a change in pull request #15708: DMLC link removal
URL: https://github.com/apache/incubator-mxnet/pull/15708#discussion_r309864395
##
File path: example/neural-style/end_to_end/README.md
##
@@ -17,7 +17,7 @@
# End to End Neural Art
-Please
aaronmarkham commented on a change in pull request #15708: DMLC link removal
URL: https://github.com/apache/incubator-mxnet/pull/15708#discussion_r309863903
##
File path: tools/coreml/README.md
##
@@ -1,4 +1,4 @@
-
+<--- Licensed to the Apache Software Foundation (ASF)
Zha0q1 opened a new pull request #15722: Skip Flaky Test
URL: https://github.com/apache/incubator-mxnet/pull/15722
I merger a fix to this test this (custom operator profiling naive engine)
Monday but it's still flaky. I suspect this is due to profiling not working
well with multiple
access2rohit opened a new pull request #15723: [WIP]Lis slice 3
URL: https://github.com/apache/incubator-mxnet/pull/15723
## Description ##
test CI/CD
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts
larroy commented on issue #14979: [BUG] Using a package with MKL and GPU
versions, using python to open a new process will cause an error
URL:
https://github.com/apache/incubator-mxnet/issues/14979#issuecomment-517405871
Can't reproduce with Debug builds.
kshitij12345 commented on issue #15710: Inconsistent behaviour of
ImageRecordIter depending on encoding format png vs jpeg
URL:
https://github.com/apache/incubator-mxnet/issues/15710#issuecomment-517405625
Hi,
I have tried the code with slight refactor.
```python
import mxnet
larroy edited a comment on issue #10856: Failed OpenMP assertion when loading
MXNet compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517407376
Using the code provided in this example, the code in the train process is
never executed:
larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517417936
I have a private branch which fixes this issue, but need to verify side
effects further.
larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517418096
https://github.com/larroy/mxnet/tree/openmp_improv
anirudh2290 commented on issue #10856: Failed OpenMP assertion when loading
MXNet compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517424340
I revisited this yesterday when I was working on one issue. I see that this
assertion hits only when
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apeforest pushed a change to branch master
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from 42a47b1 Fix _copy_to on MKLDNN backend (#15637)
add d5fcd98 [DOC] refine autograd docs (#15109)
apeforest merged pull request #15109: [DOC] refine autograd docs
URL: https://github.com/apache/incubator-mxnet/pull/15109
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larroy commented on a change in pull request #15715: Improve diagnose.py to
display environment variables
URL: https://github.com/apache/incubator-mxnet/pull/15715#discussion_r309871961
##
File path: tools/diagnose.py
##
@@ -171,6 +161,31 @@ def check_network(args):
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patriczhao pushed a change to branch master
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from d5fcd98 [DOC] refine autograd docs (#15109)
add 773f4dc Fix quantized concat when inputs are
pengzhao-intel commented on issue #15448: [MKLDNN]Enhance Quantization APIs and
Tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15448#issuecomment-517449711
Merging now. We're continually improving the quantization flow so any
suggestions and feedbacks are highly appreciated.
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pengzhao-intel commented on issue #15693: Fix quantized concat when inputs are
mixed int8 and uint8
URL: https://github.com/apache/incubator-mxnet/pull/15693#issuecomment-517448761
Merging now. Thanks for your contribution.
pengzhao-intel merged pull request #15693: Fix quantized concat when inputs are
mixed int8 and uint8
URL: https://github.com/apache/incubator-mxnet/pull/15693
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haojin2 commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309900032
##
File path: python/mxnet/_ctypes/ndarray.py
##
@@ -118,6 +130,13 @@ def __init__(self, sym, flags=()):
def
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309905390
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -207,6 +225,7 @@ def _to_shared_mem(self):
def
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309908559
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -0,0 +1,1551 @@
+#!/usr/bin/env python
+
+# Licensed to the
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309905893
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -0,0 +1,289 @@
+# pylint: disable=C0302
+# Licensed to the
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309909663
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -0,0 +1,1007 @@
+# Licensed to the Apache Software
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309907676
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -0,0 +1,1551 @@
+#!/usr/bin/env python
+
+# Licensed to the
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309906036
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -0,0 +1,289 @@
+# pylint: disable=C0302
+# Licensed to the
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309909689
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -0,0 +1,1007 @@
+# Licensed to the Apache Software
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309909194
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -0,0 +1,1551 @@
+#!/usr/bin/env python
+
+# Licensed to the
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309909126
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -0,0 +1,1551 @@
+#!/usr/bin/env python
+
+# Licensed to the
reminisce commented on a change in pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#discussion_r309905439
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -225,6 +244,7 @@ def __radd__(self, other):
def
anirudh2290 commented on issue #10856: Failed OpenMP assertion when loading
MXNet compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517475293
you can fix the customer impact by making the workaround i suggested in
CMakeLists.txt. Removing
anirudh2290 commented on a change in pull request #15528: Add AMP Conversion
support for BucketingModule
URL: https://github.com/apache/incubator-mxnet/pull/15528#discussion_r309548198
##
File path: tests/python/train/test_bucketing.py
##
@@ -20,9 +20,32 @@
import mxnet
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The following commit(s) were added to refs/heads/asf-site by this push:
new 58a151f Bump the publish
Jar7 commented on issue #15717: convert mxnet to pytorch: different inference
result from batchnorm layer
URL:
https://github.com/apache/incubator-mxnet/issues/15717#issuecomment-517168729
fixed. the "eps" in pytorch should be the same as in mxnet.
AgatheBauer commented on issue #15682: MXnet suddenly can't connect with CUDA
anymore in R
URL:
https://github.com/apache/incubator-mxnet/issues/15682#issuecomment-517215900
Must be a problem outside of MXnet. Tensorflow doesn't work with GPU
acceleration either.
AgatheBauer closed issue #15682: MXnet suddenly can't connect with CUDA anymore
in R
URL: https://github.com/apache/incubator-mxnet/issues/15682
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ElaineBao commented on issue #15664: add int8 bn mkldnn implementation and test
URL: https://github.com/apache/incubator-mxnet/pull/15664#issuecomment-517132349
> @ElaineBao Can you try this on resnetv2? Theoretically, the performance
will be better since lots of bn-relu-conv pattern in
xinyu-intel commented on issue #15664: add int8 bn mkldnn implementation and
test
URL: https://github.com/apache/incubator-mxnet/pull/15664#issuecomment-517136773
@ElaineBao unfuse bn will also introduce standalone quanitzed_activation
along with quantized_bn.
lly8752 opened a new issue #15718: set lr_mult, wd_mult of var , it didn't work
URL: https://github.com/apache/incubator-mxnet/issues/15718
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
mxnet-label-bot commented on issue #15718: set lr_mult, wd_mult of var , it
didn't work
URL:
https://github.com/apache/incubator-mxnet/issues/15718#issuecomment-517139351
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
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ElaineBao commented on issue #15664: add int8 bn mkldnn implementation and test
URL: https://github.com/apache/incubator-mxnet/pull/15664#issuecomment-517134244
> @ElaineBao could you elaborate the reason for standalone BN leads a bit
more accuracy dorp?
Basically the accuracy drop
dtracz commented on a change in pull request #15713: make TransposeShape infer
shape form both sides
URL: https://github.com/apache/incubator-mxnet/pull/15713#discussion_r309555989
##
File path: src/operator/tensor/matrix_op-inl.h
##
@@ -344,19 +344,40 @@ inline bool
Jar7 closed issue #15717: convert mxnet to pytorch: different inference result
from batchnorm layer
URL: https://github.com/apache/incubator-mxnet/issues/15717
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pengzhao-intel commented on issue #15448: [MKLDNN]Enhance Quantization APIs and
Tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15448#issuecomment-517132965
@ThomasDelteil we are going to merge this PR in 24 hours if no further
comments since other improvements depend on
anirudh2290 commented on a change in pull request #15528: Add AMP Conversion
support for BucketingModule
URL: https://github.com/apache/incubator-mxnet/pull/15528#discussion_r309540377
##
File path: python/mxnet/module/bucketing_module.py
##
@@ -335,12 +339,16 @@ def
anirudh2290 commented on a change in pull request #15528: Add AMP Conversion
support for BucketingModule
URL: https://github.com/apache/incubator-mxnet/pull/15528#discussion_r309535985
##
File path: example/rnn/bucketing/cudnn_rnn_bucketing.py
##
@@ -67,6 +68,10 @@
larroy edited a comment on issue #10856: Failed OpenMP assertion when loading
MXNet compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517481273
I disagree with your statement. Yes, the customer impact is that if fixes
several problems. Please
larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517498203
Ok I got what you meant now. I don't think the kernel tunning is a problem
there. I see that there's
mxnet-label-bot commented on issue #15729: Missing nin content from dmlc.ml site
URL:
https://github.com/apache/incubator-mxnet/issues/15729#issuecomment-517502038
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the
IvyBazan opened a new issue #15729: Missing nin content from dmlc.ml site
URL: https://github.com/apache/incubator-mxnet/issues/15729
The following assets were hosted on the dmlc.ml site and need to be
recovered.
http://data.dmlc.ml/models/imagenet/nin/nin-symbol.json
mycpuorg commented on issue #15684: mxnet nd array shape modified with
benchmark ??
URL:
https://github.com/apache/incubator-mxnet/issues/15684#issuecomment-517503618
I figured the problem out. Posting this for posterity.
Do not use pytest-benchmark in cases where your training
mycpuorg closed issue #15684: mxnet nd array shape modified with benchmark ??
URL: https://github.com/apache/incubator-mxnet/issues/15684
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samskalicky commented on a change in pull request #15489: Dynamic Library
Loading Support
URL: https://github.com/apache/incubator-mxnet/pull/15489#discussion_r309956589
##
File path: src/common/library.cc
##
@@ -0,0 +1,104 @@
+/*
+ * Licensed to the Apache Software
larroy removed a comment on issue #14979: [BUG] Using a package with MKL and
GPU versions, using python to open a new process will cause an error
URL:
https://github.com/apache/incubator-mxnet/issues/14979#issuecomment-516656018
With a CPU version I get the following, no crash:
```
larroy edited a comment on issue #14979: [BUG] Using a package with MKL and GPU
versions, using python to open a new process will cause an error
URL:
https://github.com/apache/incubator-mxnet/issues/14979#issuecomment-517076941
I tried in GPU version, also no crash in debug mode.
larroy edited a comment on issue #14979: [BUG] Using a package with MKL and GPU
versions, using python to open a new process will cause an error
URL:
https://github.com/apache/incubator-mxnet/issues/14979#issuecomment-517076941
I tried in GPU version, also no crash in debug mode.
eric-haibin-lin commented on issue #15725: AMP issue in _gen_atomic_symbol
URL:
https://github.com/apache/incubator-mxnet/issues/15725#issuecomment-517483451
@ptrendx
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larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517483598
@cjolivier01 I think you haven't carefully taken all the data provided into
consideration, including my
ptrendx commented on issue #15725: AMP issue in _gen_atomic_symbol
URL:
https://github.com/apache/incubator-mxnet/issues/15725#issuecomment-517490163
Hi @mycpuorg, there should be a Python traceback in addition to the C++
traceback you provided, which should give more info on which
vrakesh commented on issue #15725: AMP issue in _gen_atomic_symbol
URL:
https://github.com/apache/incubator-mxnet/issues/15725#issuecomment-517494329
@mxnet-label-bot add [Pending Requester Info]
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vrakesh commented on issue #15721: Regression w/ Keras and MxNet 1.5.0: Error
in operator batchnorm... Check failed: i >= 0 && i < ndim(): index = 1 must be
in range [0, -1)
URL:
https://github.com/apache/incubator-mxnet/issues/15721#issuecomment-517494209
@iamthebot Requesting a
vrakesh commented on issue #15719: Simple Bind does not use shapes in
arg_params and aux_params to help infer shape
URL:
https://github.com/apache/incubator-mxnet/issues/15719#issuecomment-517493920
@mxnet-label-bot add [Feature Request]
sandeep-krishnamurthy commented on a change in pull request #15715: Improve
diagnose.py to display environment variables
URL: https://github.com/apache/incubator-mxnet/pull/15715#discussion_r309949704
##
File path: tools/diagnose.py
##
@@ -171,6 +161,31 @@ def
samskalicky commented on a change in pull request #15489: Dynamic Library
Loading Support
URL: https://github.com/apache/incubator-mxnet/pull/15489#discussion_r309958907
##
File path: src/common/library.cc
##
@@ -0,0 +1,104 @@
+/*
+ * Licensed to the Apache Software
TaoLv commented on a change in pull request #15621: MKL-DNN LBR-GRU Inference
Integration (FP32 LBR-GRU)
URL: https://github.com/apache/incubator-mxnet/pull/15621#discussion_r309960896
##
File path: src/operator/nn/mkldnn/mkldnn_rnn_impl.h
##
@@ -225,55 +241,66 @@ static
haojin2 commented on issue #15722: Skip Flaky Test
URL: https://github.com/apache/incubator-mxnet/pull/15722#issuecomment-517534005
@Zha0q1 Merging this, plz provide a fix ASAP.
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haojin2 merged pull request #15722: Skip Flaky Test
URL: https://github.com/apache/incubator-mxnet/pull/15722
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ptrendx commented on issue #15716: Increase amp support for Bi-lstm and Concat
operators in gluon
URL:
https://github.com/apache/incubator-mxnet/issues/15716#issuecomment-517492809
There seem to be 2 problems here. On 1 hand, the ConcatType function seems
to be too strict in what it
anirudh2290 commented on issue #10856: Failed OpenMP assertion when loading
MXNet compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517493013
> Please specify what problems do you think it introduces to remove
pthread_at_fork.
reminisce opened a new pull request #15727: [DO NOT REVIEW] Test numpy branch
after rebasing with master
URL: https://github.com/apache/incubator-mxnet/pull/15727
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel
anirudh2290 commented on issue #10856: Failed OpenMP assertion when loading
MXNet compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517495361
To rephrase your question , you are asking why we need pthread_atfork ?
This is to suspend all
larroy edited a comment on issue #10856: Failed OpenMP assertion when loading
MXNet compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517499070
Thanks @anirudh2290 for the record, I think you are right about problems
with Multiprocessing that
larroy commented on issue #10856: Failed OpenMP assertion when loading MXNet
compiled with DEBUG=1
URL:
https://github.com/apache/incubator-mxnet/issues/10856#issuecomment-517499070
Thanks @anirudh2290 for the record, I think you are right about problems
with Multiprocessing. I think we
vandanavk commented on issue #14942: ONNX export: Slice op - Handle None value
for ends
URL: https://github.com/apache/incubator-mxnet/pull/14942#issuecomment-517504038
This PR is ready for review. [Awaiting confirmation from the user
mxnet-label-bot commented on issue #15730: Missing nnvm content from DMLC.ML
site
URL:
https://github.com/apache/incubator-mxnet/issues/15730#issuecomment-517504416
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the
IvyBazan opened a new issue #15730: Missing nnvm content from DMLC.ML site
URL: https://github.com/apache/incubator-mxnet/issues/15730
The blog on fusion and runtime compilation for nnvm and tinyflow was hsoted
on the dml.ml site and needs to be recovered.
mycpuorg commented on issue #15725: AMP issue in _gen_atomic_symbol
URL:
https://github.com/apache/incubator-mxnet/issues/15725#issuecomment-517510741
Here's the generic part of the Python stack trace that I can share. Thanks.
```
KellenSunderland commented on issue #14618: Consistent crash on CI test
Python3: TensorRT GPU
URL:
https://github.com/apache/incubator-mxnet/issues/14618#issuecomment-517516645
Having a look. After a first quick glance it seems we're not yet hitting
TensorRT code. Could be a TRT
KellenSunderland closed issue #14618: Consistent crash on CI test Python3:
TensorRT GPU
URL: https://github.com/apache/incubator-mxnet/issues/14618
This is an automated message from the Apache Git Service.
To respond to the
KellenSunderland commented on issue #14618: Consistent crash on CI test
Python3: TensorRT GPU
URL:
https://github.com/apache/incubator-mxnet/issues/14618#issuecomment-517516819
Looks like this is an old failure. Closing as it was addressed in April.
ChaiBapchya commented on issue #4048: peformance issue
URL:
https://github.com/apache/incubator-mxnet/issues/4048#issuecomment-517533507
@szha @mli since #4550 has merged is this good to close?
OR
@nswamy is this pending?
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