ZiyueHuang opened a new pull request #10649: add FResourceRequestEx interface
for FComputeEx
URL: https://github.com/apache/incubator-mxnet/pull/10649
## Description ##
For https://github.com/apache/incubator-mxnet/issues/10509 and
https://github.com/apache/incubator-mxnet/issues/9782.
solin319 commented on issue #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366#issuecomment-383478020
@eric-haibin-lin
gpus=2*k80
network=vgg16
data=imagenet
The performance is 131samples/sec when we remove temp resource.
If not the
zheng-da commented on issue #10624: [MXNET-351] Fix a bug in the MKLDNN
integration.
URL: https://github.com/apache/incubator-mxnet/pull/10624#issuecomment-383479403
@marcoabreu I do need your help.
Could you check the error in CI? I don't understand why CI can't find
Laurawly opened a new issue #10650: How to set parameter ```use_global_stats```
in Gluon pretrained blocks
URL: https://github.com/apache/incubator-mxnet/issues/10650
If we call ```resnet18 = vision.resnet18_v1(pretrained=True)```, the
pretained model is using local stats instead of
eric-haibin-lin commented on a change in pull request #10649: add
FResourceRequestEx interface for FComputeEx
URL: https://github.com/apache/incubator-mxnet/pull/10649#discussion_r183288325
##
File path: src/imperative/imperative_utils.h
##
@@ -192,6 +192,7 @@ inline void
solin319 commented on issue #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366#issuecomment-383478020
@eric-haibin-lin
gpus=2*k80
network=vgg16
data=imagenet
kv-store=local
The performance is 131samples/sec when we remove temp resource.
If
zheng-da opened a new pull request #10651: handle fallback correctly for write
inplace when the array is MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/10651
## Description ##
For non-MKLDNN operators, providing an MKLDNN array triggers fallback. In
this case, the input
sl1pkn07 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-383503732
how i can disable the f16c on cmake?
```
-- Performing Test COMPILER_SUPPORT_MF16C
-- Performing Test
sl1pkn07 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-383503732
how i can disable the f16c on cmake?
```
-- Performing Test COMPILER_SUPPORT_MF16C
-- Performing Test
sl1pkn07 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-383503732
how i can disable the f16c on cmake?
This is an automated
Laurawly commented on issue #10650: How to set parameter ```use_global_stats```
in Gluon pretrained blocks
URL:
https://github.com/apache/incubator-mxnet/issues/10650#issuecomment-383492127
Closed thanks to @szha's response in
https://discuss.gluon.ai/t/topic/5610/2. Manually changing
Laurawly closed issue #10650: How to set parameter ```use_global_stats``` in
Gluon pretrained blocks
URL: https://github.com/apache/incubator-mxnet/issues/10650
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chinakook commented on issue #10648: Why examlpe wide_deep runs faster on
win10(cpu) than linux(gpu-Tesla M40 24GB)
URL:
https://github.com/apache/incubator-mxnet/issues/10648#issuecomment-383574640
Sparse op is faster on CPU than on GPU.
eric-haibin-lin commented on a change in pull request #10649: [WIP] add
FResourceRequestEx interface for FComputeEx
URL: https://github.com/apache/incubator-mxnet/pull/10649#discussion_r183443827
##
File path: include/mxnet/op_attr_types.h
##
@@ -219,6 +219,15 @@ using
eric-haibin-lin commented on a change in pull request #10649: [WIP] add
FResourceRequestEx interface for FComputeEx
URL: https://github.com/apache/incubator-mxnet/pull/10649#discussion_r183444619
##
File path: src/executor/attach_op_resource_pass.cc
##
@@ -47,8 +50,13 @@
jinhuang415 commented on issue #10433: [MXNET-290] MKLDNN support for model
quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#issuecomment-383627507
@marcoabreu Sure, will do.
This is an automated
reminisce commented on a change in pull request #10433: [MXNET-290] MKLDNN
support for model quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r183449820
##
File path: include/mxnet/c_api.h
##
@@ -1423,13 +1423,15 @@ MXNET_DLL int
reminisce commented on a change in pull request #10433: [MXNET-290] MKLDNN
support for model quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r183455694
##
File path: src/operator/quantization/dequantize.cc
##
@@ -23,11 +23,32 @@
*
sergeykolychev closed pull request #10620: MXNET-335 [Perl] Support for image
operations on symbols and ndarrays.
URL: https://github.com/apache/incubator-mxnet/pull/10620
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new 057885d MXNET-335 [Perl]
r4ghu commented on issue #10640: Mxnet cu90 on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/10640#issuecomment-383632018
Did you install CuDNN? I guess you also need to install a right version of
compatible cuDNN to make it work.
reminisce commented on a change in pull request #10433: [MXNET-290] MKLDNN
support for model quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r183453330
##
File path: include/mxnet/c_api.h
##
@@ -1423,13 +1423,15 @@ MXNET_DLL int
tdomhan commented on a change in pull request #10354: Expose the number of GPUs.
URL: https://github.com/apache/incubator-mxnet/pull/10354#discussion_r183463811
##
File path: include/mxnet/base.h
##
@@ -307,6 +312,21 @@ inline Context Context::GPU(int32_t dev_id) {
indhub closed pull request #10568: [WIP] [MXNET-325] Model parallelism tutorial.
URL: https://github.com/apache/incubator-mxnet/pull/10568
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new 6c3e1a4 [MXNET-307] Add tutorial
indhub closed pull request #10608: [MXNET-307] Add tutorial tests to the CI
URL: https://github.com/apache/incubator-mxnet/pull/10608
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eric-haibin-lin commented on a change in pull request #10371: [MXNET-263]
Support for dot(dns, csr) = dns and dot(dns, csr.T) = dns on GPU
URL: https://github.com/apache/incubator-mxnet/pull/10371#discussion_r183470399
##
File path: src/operator/tensor/dot-inl.cuh
##
@@
nswamy closed pull request #10652: Fix SSDExample
URL: https://github.com/apache/incubator-mxnet/pull/10652
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nswamy commented on issue #10652: Fix SSDExample
URL: https://github.com/apache/incubator-mxnet/pull/10652#issuecomment-383656509
@lanking520
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nswamy opened a new pull request #10652: Fix SSDExample
URL: https://github.com/apache/incubator-mxnet/pull/10652
## Description ##
Fix SSDExample
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts with
sl1pkn07 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-383503732
how i can disable the f16c on cmake?
```
-- Performing Test COMPILER_SUPPORT_MF16C
-- Performing Test
haojin2 commented on a change in pull request #10371: [MXNET-263] Support for
dot(dns, csr) = dns and dot(dns, csr.T) = dns on GPU
URL: https://github.com/apache/incubator-mxnet/pull/10371#discussion_r183479135
##
File path: src/operator/tensor/dot-inl.cuh
##
@@ -895,6
lanking520 commented on issue #10654: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10654#issuecomment-383660105
Nice job! Fixed the problem in different directory. Will see how the CI test
goes.
eric-haibin-lin commented on issue #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366#issuecomment-383655298
Thanks! Just curious - why were you not using device kvstore? Is it taking
too much memory?
Also, what's the batch size you're using?
nswamy opened a new pull request #10653: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10653
## Description ##
Fix SSDExample
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title
nswamy commented on issue #10653: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10653#issuecomment-383656796
@lanking520
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nswamy opened a new pull request #10654: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10654
## Description ##
fix SSDClassifierExample, Existing code always looks against the user.dir
regardless of the user input.
## Checklist ##
### Essentials
nswamy commented on issue #10654: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10654#issuecomment-383658574
@lanking520
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lanking520 commented on issue #10653: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10653#issuecomment-383660412
LGTM. Ref[#10654] :Nice job! Fixed the problem in different directory. Will
see how the CI test goes.
lanking520 commented on issue #10653: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10653#issuecomment-383660412
LGMT. Ref[#10654] :Nice job! Fixed the problem in different directory. Will
see how the CI test goes.
ThomasDelteil commented on issue #10659: [MXNET-307] Update train/sparse seed
URL: https://github.com/apache/incubator-mxnet/pull/10659#issuecomment-383750026
fresh from this morning, sorry you are experiencing the flakiness , it
should become better over the coming days, I thought I had
haojin2 commented on a change in pull request #10662: [MXNET-347] Logical AND
operator
URL: https://github.com/apache/incubator-mxnet/pull/10662#discussion_r183566292
##
File path: tests/python/unittest/test_operator.py
##
@@ -1564,6 +1564,13 @@ def test_bmin(a, b):
haojin2 commented on a change in pull request #10371: [MXNET-263] Support for
dot(dns, csr) = dns and dot(dns, csr.T) = dns on GPU
URL: https://github.com/apache/incubator-mxnet/pull/10371#discussion_r183567483
##
File path: src/operator/tensor/dot-inl.h
##
@@ -217,35
haojin2 commented on a change in pull request #10371: [MXNET-263] Support for
dot(dns, csr) = dns and dot(dns, csr.T) = dns on GPU
URL: https://github.com/apache/incubator-mxnet/pull/10371#discussion_r183567537
##
File path: src/operator/tensor/dot-inl.h
##
@@ -217,35
piiswrong closed issue #10146: why the gluon.nn.embedding always return
float32? seems cannot chang to float64.
URL: https://github.com/apache/incubator-mxnet/issues/10146
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lanking520 commented on issue #10654: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10654#issuecomment-383692742
I think it will be merged to two branches, one for master one for 1.20rc
This is
piiswrong closed pull request #10615: [WIP] [MXNET-334] fix dtype of Embedding
and add dtype argument to Dense
URL: https://github.com/apache/incubator-mxnet/pull/10615
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jxie pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 0bcc2da [WIP] [MXNET-334] fix dtype of
safrooze commented on a change in pull request #10623: [MXNET-339] Add warning
on input data for RNN for layout NTC
URL: https://github.com/apache/incubator-mxnet/pull/10623#discussion_r183509872
##
File path: python/mxnet/gluon/rnn/rnn_layer.py
##
@@ -286,6 +286,9 @@
piiswrong closed pull request #10490: [MXNET-313] Python: Resolve some of the
undefined names
URL: https://github.com/apache/incubator-mxnet/pull/10490
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new dc3ea81 [MXNET-313] Python: Resolve
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183546059
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
piiswrong commented on a change in pull request #10646: Correctly set the
device context to CPU at symbolic mode when --gpus not set
URL: https://github.com/apache/incubator-mxnet/pull/10646#discussion_r183503979
##
File path: example/gluon/image_classification.py
##
@@
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new e40ed88 Stop ignoring the given name of
piiswrong closed pull request #10635: Stop ignoring the given name of
CompositeEvalMetric
URL: https://github.com/apache/incubator-mxnet/pull/10635
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piiswrong commented on issue #10628: [MXNET-342] Fix the multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#issuecomment-383692067
Do you know if pytorch has a solution to this? Pytorch's DataLoader and
dataset works pretty similarly with ours
piiswrong commented on issue #8797: fix errors for reinterpret_cast usage
URL: https://github.com/apache/incubator-mxnet/pull/8797#issuecomment-383697161
@marcoabreu could you restart ci and get this merged?
This is an
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183535514
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
ThomasDelteil opened a new pull request #10658: Extend tutorial instructions
URL: https://github.com/apache/incubator-mxnet/pull/10658
## Description ##
Add more instructions for tutorial writing and testing
This is an
piiswrong commented on issue #10311: [WIP][MXNET-107]Fused GRU implementation
for CPU
URL: https://github.com/apache/incubator-mxnet/pull/10311#issuecomment-383694667
@Sherry-Zhang @yajiedesign @TaoLv
ping
can we get some review on this?
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183532614
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183532638
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183532721
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
eric-haibin-lin opened a new pull request #10657: Fix typo in __setitem__ doc
URL: https://github.com/apache/incubator-mxnet/pull/10657
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183535662
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183537196
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183537061
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
safrooze commented on a change in pull request #10623: [MXNET-339] Add warning
on input data for RNN for layout NTC
URL: https://github.com/apache/incubator-mxnet/pull/10623#discussion_r183509872
##
File path: python/mxnet/gluon/rnn/rnn_layer.py
##
@@ -286,6 +286,9 @@
piiswrong commented on issue #10311: [WIP][MXNET-107]Fused GRU implementation
for CPU
URL: https://github.com/apache/incubator-mxnet/pull/10311#issuecomment-383694667
@Sherry-Zhang
ping
can we get some review on this?
zhreshold closed pull request #9784: Fix for the case where there are no
detections
URL: https://github.com/apache/incubator-mxnet/pull/9784
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new 81d0113 Fix for the case where
leedstark commented on issue #10640: Mxnet cu90 on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/10640#issuecomment-383704912
It actually works well now. I had two version of CUDA installed. I just
disabled the old one.
leedstark closed issue #10640: Mxnet cu90 on Windows
URL: https://github.com/apache/incubator-mxnet/issues/10640
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spidyDev commented on issue #9814: C++ Convolution layer usage produces
"Segmentation fault"
URL:
https://github.com/apache/incubator-mxnet/issues/9814#issuecomment-383712569
I wasnt able to replicate the issue with the minimum reproducible example
stated above.
But with
spidyDev commented on issue #9814: C++ Convolution layer usage produces
"Segmentation fault"
URL:
https://github.com/apache/incubator-mxnet/issues/9814#issuecomment-383712569
I wasnt able to replicate the issue with the minimum reproducible example
stated above.
**./alexnet** I
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183536062
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
piiswrong commented on issue #10234: [MXNET-135] mx.image.imread support s3
URL: https://github.com/apache/incubator-mxnet/pull/10234#issuecomment-383698472
@marcoabreu could you help refresh the ci and get this merged?
This
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183533870
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183537321
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
spidyDev commented on a change in pull request #10425: [MXNET-175] Raise user
warning on mismatch between module data_names and data iter names
URL: https://github.com/apache/incubator-mxnet/pull/10425#discussion_r183552298
##
File path: python/mxnet/module/base_module.py
ThomasDelteil opened a new pull request #10659: [MXNET-307] Update train/sparse
seed
URL: https://github.com/apache/incubator-mxnet/pull/10659
Set more seed for flaky tutorial MSE
see:
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183540475
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183540828
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183546003
##
File path: docs/tutorials/python/custom_layer.md
##
@@ -0,0 +1,247 @@
+
+#
Ishitori commented on issue #10607: New tutorial on how to create a new custom
layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#issuecomment-383734636
@piiswrong, while topic is the same, the styles and level of details are
different, so it is hard to blend it
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The following commit(s) were added to refs/heads/master by this push:
new daf821c logical not operator and unit
piiswrong closed pull request #10639: [MXNET-350] Logical NOT Operator
URL: https://github.com/apache/incubator-mxnet/pull/10639
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piiswrong commented on a change in pull request #10425: [MXNET-175] Raise user
warning on mismatch between module data_names and data iter names
URL: https://github.com/apache/incubator-mxnet/pull/10425#discussion_r183512320
##
File path: python/mxnet/module/base_module.py
piiswrong closed pull request #10590: [MXNET-330] fix cached op req
URL: https://github.com/apache/incubator-mxnet/pull/10590
This is a PR merged from a forked repository.
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As this is a foreign
ThomasDelteil commented on issue #10628: [MXNET-342] Fix the multi worker
Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#issuecomment-383704424
Just had a read through their code, I didn't see anything that would
mitigate that issue. However they also don't provide a
leedstark commented on issue #10640: Mxnet cu90 on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/10640#issuecomment-383704178
Yes CuDNN 7 is installed and other Deep learning frameworks (Mxnet,
TensorFlow) work very well with the GPU.
piiswrong commented on issue #10654: fix SSDClassifierExample
URL: https://github.com/apache/incubator-mxnet/pull/10654#issuecomment-383692408
Isn't this a duplicate?
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piiswrong commented on issue #10391: [MXNET-139] Tutorial for mixed precision
training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#issuecomment-383696266
@rahul003 ping
This is an automated message
anirudhacharya commented on issue #6648: [R] R api doc
URL:
https://github.com/apache/incubator-mxnet/issues/6648#issuecomment-383700452
@thirdwing this PR - https://github.com/apache/incubator-mxnet/pull/10473
adds the api doc.
tdomhan commented on a change in pull request #10354: Expose the number of GPUs.
URL: https://github.com/apache/incubator-mxnet/pull/10354#discussion_r183521345
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spidyDev commented on issue #9814: C++ Convolution layer usage produces
"Segmentation fault"
URL:
https://github.com/apache/incubator-mxnet/issues/9814#issuecomment-383712569
I wasnt able to replicate the issue with the minimum reproducible example
stated above.
But with ./alexnet
Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183533678
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Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183537782
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Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183539799
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Ishitori commented on a change in pull request #10607: New tutorial on how to
create a new custom layer in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10607#discussion_r183542904
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