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 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
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) {
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
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
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,
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 #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_r183124801
##
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_r183124801
##
File path: python/mxnet/gluon/data/dataset.py
##
@@ -173,8 +173,15 @@ class
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.
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
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
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
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.
-
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 @@
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
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
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
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
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 @@
+
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
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
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
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
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):
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
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
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
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
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 ($(ADD_LDFLAGS), NONE)
LDFLAGS +=
szha opened a new pull request #10630: make the slice of sequential a sequential
URL: https://github.com/apache/incubator-mxnet/pull/10630
## Description ##
make the slice of sequential a sequential
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
zheng-da commented on a change in pull request #10433: [MXNET-290] MKLDNN
support for model quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r183168038
##
File path: src/operator/quantization/quantize_graph_pass.cc
##
@@ -250,6 +250,165 @@
zheng-da commented on a change in pull request #10433: [MXNET-290] MKLDNN
support for model quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r183167546
##
File path: src/operator/quantization/quantize_graph_pass.cc
##
@@ -198,7 +198,7 @@
zheng-da commented on a change in pull request #10433: [MXNET-290] MKLDNN
support for model quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r183139227
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_pooling.cc
##
@@ -0,0
zheng-da commented on a change in pull request #10433: [MXNET-290] MKLDNN
support for model quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r183165895
##
File path: src/operator/quantization/mkldnn/mkldnn_quantized_pooling.cc
##
@@ -0,0
szha commented on a change in pull request #10630: make the slice of sequential
a sequential
URL: https://github.com/apache/incubator-mxnet/pull/10630#discussion_r183175559
##
File path: python/mxnet/gluon/nn/basic_layers.py
##
@@ -62,7 +62,15 @@ def __repr__(self):
KellenSunderland commented on a change in pull request #10482: [MXNET-303]
Update Jetpack to version 3.2
URL: https://github.com/apache/incubator-mxnet/pull/10482#discussion_r183178442
##
File path: Makefile
##
@@ -254,8 +254,10 @@ ifneq ($(ADD_LDFLAGS), NONE)
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
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):
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
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
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 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.
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_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
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 @@
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
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.
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
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
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]
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
the
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?
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
the
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 73d879c [MXNET-320] Support
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.
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 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 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.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign
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
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
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
qxin commented on issue #9275: "bad" mAP score on COCO
URL:
https://github.com/apache/incubator-mxnet/issues/9275#issuecomment-382994431
@sandeep-krishnamurthy Thanks ~ (and sorry, for the inactivity)
This is an automated
zheng-da commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and
then crash down.
URL:
https://github.com/apache/incubator-mxnet/issues/10599#issuecomment-382989367
The memory used by MKLDNN is also allocated by the MXNet memory allocator.
MKLDNN NDArrays are reused in the
zheng-da commented on issue #9835: Failed to export gluon model zoo vision
model to symbol file
URL:
https://github.com/apache/incubator-mxnet/issues/9835#issuecomment-383001871
i just saw this message. @ashokei is working on this.
lionel92 commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and
then crash down.
URL:
https://github.com/apache/incubator-mxnet/issues/10599#issuecomment-382997495
@zheng-da @pengzhao-intel
I reproduced this case, and per the memory allocation profiling (via the
zheng-da commented on issue #9812: Unrepeatable
test_gluon_model_zoo_gpu.py:test_training CI failures seen.
URL:
https://github.com/apache/incubator-mxnet/issues/9812#issuecomment-383001501
This bug has been fixed by
https://github.com/apache/incubator-mxnet/pull/9862
I think we can
IrvingShu commented on issue #9920: Asynchronous Issue on CustomOP and
mxnet.image.ImageDetIter
URL:
https://github.com/apache/incubator-mxnet/issues/9920#issuecomment-382997920
@wkcn thanks for sharing your ways. I added ctx = context.cpu(), however,
the new problem happens:
zheng-da commented on issue #7652: Need a clear and thorough tutorial for
writing custom operators in c++ with nnvm
URL:
https://github.com/apache/incubator-mxnet/issues/7652#issuecomment-383000802
just saw the comment. I'll update the tutorial
chinakook commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory
and then crash down.
URL:
https://github.com/apache/incubator-mxnet/issues/10599#issuecomment-383005826
@lionel92 The model is a widely used Caffe-Resnet101 with some 1x1
convolutions added and with big input
TaoLv commented on issue #10580: inference results unstable in
mxnet_mkl-1.2.0b20180416
URL:
https://github.com/apache/incubator-mxnet/issues/10580#issuecomment-383007445
Please ignore that. @zheng-da has submitted the final fix in #10624 . You
can try the nightly build after that PR is
FCInter opened a new issue #10625: ImageRecordIter loading small data reports
out of memory
URL: https://github.com/apache/incubator-mxnet/issues/10625
## Description
(Brief description of the problem in no more than 2 sentences.)
mx.io.ImageRecordIter reports CUDA out of memory when
wkcn closed issue #10288: no negative check for reps in mx.nd.tile and
mx.sym.tile
URL: https://github.com/apache/incubator-mxnet/issues/10288
This is an automated message from the Apache Git Service.
To respond to the
dwSun commented on issue #10580: inference results unstable in
mxnet_mkl-1.2.0b20180416
URL:
https://github.com/apache/incubator-mxnet/issues/10580#issuecomment-383003163
@TaoLv can you provide a pre-compiled pip package?
Thanks
wkcn commented on issue #9920: Asynchronous Issue on CustomOP and
mxnet.image.ImageDetIter
URL:
https://github.com/apache/incubator-mxnet/issues/9920#issuecomment-383041481
@IrvingShu
It seems that the data types of source ndarray and target ndarray are
different.
Could you upload
tdomhan commented on issue #10354: Expose the number of GPUs.
URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-383013176
that is correct. I'm not sure why it happens or how it can be fixed. With
the recent changes that is what will happen now that it will raise an
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