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haibin pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 73d879c [MXNET-320] Support
eric-haibin-lin closed pull request #10550: [MXNET-320] Support
elemwise_add/sub between dense and csr tensors
URL: https://github.com/apache/incubator-mxnet/pull/10550
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
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eric-haibin-lin closed pull request #10557: [MXNET-322]
Elemwise_mul(row_sparse, dense) = row_sparse on CPU
URL: https://github.com/apache/incubator-mxnet/pull/10557
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
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This is an automated email from the ASF dual-hosted git repository.
haibin pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 6df1979 [MXNET-322]
yajiedesign commented on issue #10626: Could you help build windows pypi
package mxnet-cu90 for version 1.0.0 and version 1.1.0?
URL:
https://github.com/apache/incubator-mxnet/issues/10626#issuecomment-383263082
1.1.0 is done,1.0.0 come soon on
haojin2 commented on issue #10633: [MXNET-346] Hard Sigmoid Operator
URL: https://github.com/apache/incubator-mxnet/pull/10633#issuecomment-383254383
@rahul003 @reminisce @anirudh2290 @eric-haibin-lin Could you please give a
review for this?
nswamy commented on issue #10432: [scala-infer]move test files for scala infer
API to s3
URL:
https://github.com/apache/incubator-mxnet/issues/10432#issuecomment-383251219
#10617
This is an automated message from the
nswamy closed issue #10432: [scala-infer]move test files for scala infer API to
s3
URL: https://github.com/apache/incubator-mxnet/issues/10432
This is an automated message from the Apache Git Service.
To respond to the
haojin2 commented on a change in pull request #10633: [MXNET-346] Hard Sigmoid
Operator
URL: https://github.com/apache/incubator-mxnet/pull/10633#discussion_r183191838
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -106,6 +106,35 @@ The storage type of
This is an automated email from the ASF dual-hosted git repository.
nswamy pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new ba40121 Change Model url to S3
nswamy closed pull request #10617: [MXNET-337] Change Model url to S3
URL: https://github.com/apache/incubator-mxnet/pull/10617
This is a PR merged from a forked repository.
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As this is a foreign
anirudhacharya commented on a change in pull request #10633: [MXNET-346] Hard
Sigmoid Operator
URL: https://github.com/apache/incubator-mxnet/pull/10633#discussion_r183190237
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -106,6 +106,35 @@ The storage
szha commented on issue #10630: make the slice of sequential a sequential
URL: https://github.com/apache/incubator-mxnet/pull/10630#issuecomment-383249954
Found a minor bug in using _brief_print_list. in py3, dict.keys() doesn't
return a list.
haojin2 opened a new pull request #10633: [MXNET-346] Hard Sigmoid Operator
URL: https://github.com/apache/incubator-mxnet/pull/10633
## Description ##
Implementation of Hard Sigmoid function
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items
piiswrong opened a new pull request #10632: move parameters to backend for
hybridblock
URL: https://github.com/apache/incubator-mxnet/pull/10632
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove
KellenSunderland commented on a change in pull request #10482: [MXNET-303]
Update Jetpack to version 3.2
URL: https://github.com/apache/incubator-mxnet/pull/10482#discussion_r183178442
##
File path: Makefile
##
@@ -254,8 +254,10 @@ ifneq ($(ADD_LDFLAGS), NONE)
reminisce commented on a change in pull request #10482: [MXNET-303] Update
Jetpack to version 3.2
URL: https://github.com/apache/incubator-mxnet/pull/10482#discussion_r183176339
##
File path: Makefile
##
@@ -254,8 +254,10 @@ ifneq ($(ADD_LDFLAGS), NONE)
LDFLAGS +=
szha commented on a change in pull request #10630: make the slice of sequential
a sequential
URL: https://github.com/apache/incubator-mxnet/pull/10630#discussion_r183175657
##
File path: python/mxnet/gluon/nn/basic_layers.py
##
@@ -62,7 +62,15 @@ def __repr__(self):
szha commented on a change in pull request #10630: make the slice of sequential
a sequential
URL: https://github.com/apache/incubator-mxnet/pull/10630#discussion_r183175559
##
File path: python/mxnet/gluon/nn/basic_layers.py
##
@@ -62,7 +62,15 @@ def __repr__(self):
SerailHydra opened a new issue #10631: Better auto-tuning strategy for
multi-machine training performance?
URL: https://github.com/apache/incubator-mxnet/issues/10631
## Description
The performance of multi-machine training is greatly affected by this
MXNET_CPU_WORKER_NTHREADS
zheng-da 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_r183168038
##
File path: src/operator/quantization/quantize_graph_pass.cc
##
@@ -250,6 +250,165 @@
zheng-da 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_r183167546
##
File path: src/operator/quantization/quantize_graph_pass.cc
##
@@ -198,7 +198,7 @@
zheng-da 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_r183139227
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_pooling.cc
##
@@ -0,0
zheng-da 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_r183165895
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_pooling.cc
##
@@ -0,0
piiswrong commented on issue #10627: 8 gpu no speed up, delay caused by main
thread
URL:
https://github.com/apache/incubator-mxnet/issues/10627#issuecomment-383221250
btw what gpus are you using?
This is an automated
zheng-da 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_r183167005
##
File path: src/operator/quantization/quantize_graph_pass.cc
##
@@ -129,7 +129,7 @@
zheng-da 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_r183132584
##
File path: src/c_api/c_api_symbolic.cc
##
@@ -595,7 +596,12 @@ int
zheng-da 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_r183135075
##
File path: src/operator/quantization/mkldnn/mkldnn_dequantize-inl.h
##
@@ -0,0
zheng-da 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_r183166565
##
File path: src/operator/quantization/mkldnn/mkldnn_requantize-inl.h
##
@@ -0,0
zheng-da 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_r183136102
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_conv.cc
##
@@ -0,0
zheng-da 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_r183134591
##
File path: src/operator/quantization/mkldnn/mkldnn_dequantize-inl.h
##
@@ -0,0
zheng-da 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_r183135955
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_conv.cc
##
@@ -0,0
zheng-da 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_r183165762
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_pooling.cc
##
@@ -0,0
zheng-da 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_r183138812
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_pooling.cc
##
@@ -0,0
zheng-da 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_r183134939
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize-inl.h
##
@@ -0,0 +1,107
zheng-da 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_r183132722
##
File path: src/operator/nn/mkldnn/mkldnn_base.cc
##
@@ -211,6 +211,7 @@
zheng-da 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_r183134801
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize-inl.h
##
@@ -0,0 +1,107
zheng-da 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_r183132338
##
File path: python/mxnet/contrib/quantization.py
##
@@ -72,7 +72,7 @@ def
zheng-da 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_r183136960
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_conv.cc
##
@@ -0,0
zheng-da 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_r183166403
##
File path: src/operator/quantization/mkldnn/mkldnn_requantize-inl.h
##
@@ -0,0
zheng-da 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_r183166634
##
File path: src/operator/quantization/mkldnn/mkldnn_requantize-inl.h
##
@@ -0,0
piiswrong commented on issue #10627: 8 gpu no speed up, delay caused by main
thread
URL:
https://github.com/apache/incubator-mxnet/issues/10627#issuecomment-383219398
We are working on optimizing gluon performence. One of the things we are
trying is using multiple threads for forward.
ThomasDelteil commented on issue #9845: Flaky test_operator.test_reduce
URL:
https://github.com/apache/incubator-mxnet/issues/9845#issuecomment-383217825
Happened to me too:
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-10628/4/pipeline/656
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183161704
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183161704
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
piiswrong commented on a change in pull request #10630: make the slice of
sequential a sequential
URL: https://github.com/apache/incubator-mxnet/pull/10630#discussion_r183164673
##
File path: python/mxnet/gluon/nn/basic_layers.py
##
@@ -62,7 +62,15 @@ def __repr__(self):
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183161704
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183161704
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183161704
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
piiswrong commented on a change in pull request #10630: make the slice of
sequential a sequential
URL: https://github.com/apache/incubator-mxnet/pull/10630#discussion_r183164014
##
File path: python/mxnet/gluon/nn/basic_layers.py
##
@@ -62,7 +62,15 @@ def __repr__(self):
szha opened a new pull request #10630: make the slice of sequential a sequential
URL: https://github.com/apache/incubator-mxnet/pull/10630
## Description ##
make the slice of sequential a sequential
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183156381
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183161704
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183161704
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183161704
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183156381
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil commented on issue #10280: Flaky test_operator.test_correlation
URL:
https://github.com/apache/incubator-mxnet/issues/10280#issuecomment-383207727
Happened to me too
piiswrong commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183152972
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
KellenSunderland commented on issue #10553: Build error for OSX with CUDA
support
URL:
https://github.com/apache/incubator-mxnet/issues/10553#issuecomment-383201036
@spidyDev I don't think I have permission to label. Maybe @marcoabreu can
help us out.
ArmageddonKnight closed issue #10356: MXNet from Source is slower than Pip
Package
URL: https://github.com/apache/incubator-mxnet/issues/10356
This is an automated message from the Apache Git Service.
To respond to the
ArmageddonKnight commented on issue #10356: MXNet from Source is slower than
Pip Package
URL:
https://github.com/apache/incubator-mxnet/issues/10356#issuecomment-383195630
@rahul003 Thanks a lot for your help and @spidyDev sorry for forgetting to
close this issue.
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183131243
##
File path: python/mxnet/gluon/data/dataloader.py
##
@@ -112,6 +113,9 @@ def
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183124801
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
aaronmarkham commented on a change in pull request #10485: [MXNET-304][RFC]
Jenkins docs build
URL: https://github.com/apache/incubator-mxnet/pull/10485#discussion_r183130265
##
File path: docs/build_version_doc/artifacts/0.12.0.index.html
##
@@ -0,0 +1,1241 @@
+
aaronmarkham commented on a change in pull request #10485: [MXNET-304][RFC]
Jenkins docs build
URL: https://github.com/apache/incubator-mxnet/pull/10485#discussion_r183130051
##
File path: docs/build_version_doc/artifacts/0.12.0.index.html
##
@@ -0,0 +1,1241 @@
+
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183124801
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
yajiedesign opened a new pull request #10629: [MXNET-343]fix Mkldnn with msvc
URL: https://github.com/apache/incubator-mxnet/pull/10629
## Description ##
fix Mkldnn with msvc
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
-
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183124801
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
piiswrong commented on a change in pull request #10354: Expose the number of
GPUs.
URL: https://github.com/apache/incubator-mxnet/pull/10354#discussion_r183125415
##
File path: include/mxnet/base.h
##
@@ -307,6 +312,21 @@ inline Context Context::GPU(int32_t dev_id) {
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183123655
##
File path: python/mxnet/gluon/data/dataloader.py
##
@@ -112,6 +113,9 @@ def
piiswrong commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183123306
##
File path: python/mxnet/gluon/data/dataloader.py
##
@@ -112,6 +113,9 @@ def
piiswrong commented on a change in pull request #10354: Expose the number of
GPUs.
URL: https://github.com/apache/incubator-mxnet/pull/10354#discussion_r183124984
##
File path: include/mxnet/base.h
##
@@ -307,6 +312,21 @@ inline Context Context::GPU(int32_t dev_id) {
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183124801
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
piiswrong commented on a change in pull request #10485: [MXNET-304][RFC]
Jenkins docs build
URL: https://github.com/apache/incubator-mxnet/pull/10485#discussion_r183124327
##
File path: docs/build_version_doc/artifacts/0.12.0.index.html
##
@@ -0,0 +1,1241 @@
+
Review
ThomasDelteil commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183123655
##
File path: python/mxnet/gluon/data/dataloader.py
##
@@ -112,6 +113,9 @@ def
piiswrong commented on a change in pull request #10628: [MXNET-342] Fix the
multi worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#discussion_r183123741
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
ThomasDelteil 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_r183123088
##
File path: python/mxnet/gluon/rnn/rnn_layer.py
##
@@ -286,6 +286,9
ThomasDelteil opened a new pull request #10628: [MXNET-342] Fix the multi
worker Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628
## Description ##
[MXNET-342](https://issues.apache.org/jira/browse/MXNET-342)
Fix
ThomasDelteil commented on issue #10628: [MXNET-342] Fix the multi worker
Dataloader
URL: https://github.com/apache/incubator-mxnet/pull/10628#issuecomment-383170262
@piiswrong if you want to review
This is an automated
ThomasDelteil commented on issue #9974: DataLoader with workers not compatible
with ImageRecordDataset
URL:
https://github.com/apache/incubator-mxnet/issues/9974#issuecomment-383170083
@jwfromm opened a PR with the fix
https://github.com/apache/incubator-mxnet/pull/10628
thomelane commented on issue #10621: Updated tutorials page.
URL: https://github.com/apache/incubator-mxnet/pull/10621#issuecomment-383164936
JIRA: https://issues.apache.org/jira/browse/MXNET-340
This is an automated message
piiswrong commented on a change in pull request #10621: Updated tutorials page.
URL: https://github.com/apache/incubator-mxnet/pull/10621#discussion_r183117310
##
File path: docs/tutorials/index.md
##
@@ -1,269 +1,153 @@
# Tutorials
-MXNet has two primary high-level
yajiedesign commented on issue #10626: Could you help build windows pypi
package mxnet-cu90 for version 1.0.0 and version 1.1.0?
URL:
https://github.com/apache/incubator-mxnet/issues/10626#issuecomment-383164382
ok.i know
piiswrong 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_r183115582
##
File path: python/mxnet/gluon/rnn/rnn_layer.py
##
@@ -286,6 +286,9 @@
szha commented on issue #10626: Could you help build windows pypi package
mxnet-cu90 for version 1.0.0 and version 1.1.0?
URL:
https://github.com/apache/incubator-mxnet/issues/10626#issuecomment-383161120
@yajiedesign
This
WellyZhang commented on issue #3432: OSError: /usr/lib/libgdal.so.1: undefined
symbol: sqlite3_column_table_name
URL:
https://github.com/apache/incubator-mxnet/issues/3432#issuecomment-383146955
@khurramHazen If you build OpenCV and MXNet using system lib but run with
Anaconda IPython,
aaronmarkham commented on issue #10485: [MXNET-304][RFC] Jenkins docs build
URL: https://github.com/apache/incubator-mxnet/pull/10485#issuecomment-383117911
BTW, this isn't passing now because of some flaky GPU test.
This is
aaronmarkham commented on issue #10485: [MXNET-304][RFC] Jenkins docs build
URL: https://github.com/apache/incubator-mxnet/pull/10485#issuecomment-383116780
Well, if you run the deps yourself you don't need to install the jdk
separately. Just install sbt Scala and maven.
I was
spidyDev commented on issue #10562: IOError: [Errno 32] Broken pipe in Windows
version
URL:
https://github.com/apache/incubator-mxnet/issues/10562#issuecomment-383111892
@cjolivier01 : Please label : Windows, Operator
This
spidyDev commented on issue #10349: Converting MXNet model to CoreML fails in
param = node['attr']
URL:
https://github.com/apache/incubator-mxnet/issues/10349#issuecomment-38360
@cjolivier01 Please label this as: Bug, converter
KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory
URL:
https://github.com/apache/incubator-mxnet/issues/10532#issuecomment-383099913
I removed .asscalar() call from for loop, because it takes too much time for
execution (again question about performance!) and
spidyDev commented on issue #10356: MXNet from Source is slower than Pip Package
URL:
https://github.com/apache/incubator-mxnet/issues/10356#issuecomment-383096112
@ArmageddonKnight Please close this issue, if your query is answered. Thanks
spidyDev commented on issue #10356: MXNet from Source is slower than Pip Package
URL:
https://github.com/apache/incubator-mxnet/issues/10356#issuecomment-383096112
@ArmageddonKnight Please close this issue, if your is answered. Thanks
spidyDev commented on issue #10355: mxnet.symbol.Upsampling()
URL:
https://github.com/apache/incubator-mxnet/issues/10355#issuecomment-383095170
@z362194037 Is it possible to upgrade to a newer version, as 0.9.5 is quite
old version.
chengdazhi commented on issue #10627: 8 gpu no speed up, delay caused by main
thread
URL:
https://github.com/apache/incubator-mxnet/issues/10627#issuecomment-383084053
@piiswrong Hi Junyuan, any suggestions?
This is an
chengdazhi opened a new issue #10627: 8 gpu no speed up, delay caused by main
thread
URL: https://github.com/apache/incubator-mxnet/issues/10627
Hi all,
I am running resnet backbone on 4 gpus, and when we try to use all 8, it
provides no speed-up. We have pinned down the problem to
khurramHazen commented on issue #3432: OSError: /usr/lib/libgdal.so.1:
undefined symbol: sqlite3_column_table_name
URL:
https://github.com/apache/incubator-mxnet/issues/3432#issuecomment-383070579
' If you are also using Anaconda, link Anaconda's local version of libgdal
to the one you
khurramHazen commented on issue #3432: OSError: /usr/lib/libgdal.so.1:
undefined symbol: sqlite3_column_table_name
URL:
https://github.com/apache/incubator-mxnet/issues/3432#issuecomment-383070579
' If you are also using Anaconda, link Anaconda's local version of libgdal
to the one you
KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory
URL:
https://github.com/apache/incubator-mxnet/issues/10532#issuecomment-383069867
The same situation with memory consumption persists when I'm adding (using
+=) NDArray from 1 element in a loop and after loop
KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory
URL:
https://github.com/apache/incubator-mxnet/issues/10532#issuecomment-383068084
So, when I replaced algorithm for evaluation accuracy for my own, memory
consumption became stable.
WAS:
def
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