zheng-da commented on issue #10215: Avoid MKLDNN in-place data conversion in
NDArray synchronously
URL: https://github.com/apache/incubator-mxnet/pull/10215#issuecomment-375851756
Yes, it's out of the scope of this PR. NNVM is the right place for graph
optimization. I'm just curious what k
asitstands opened a new issue #10235: Build fails with USE_CUDNN = 0
URL: https://github.com/apache/incubator-mxnet/issues/10235
@zheng-da I got the following errors during the build with `USE_CUDNN = 0`.
It looks like introduced with #10116.
```
src/operator/nn/batch_norm.cu(71
TaoLv commented on issue #10215: Avoid MKLDNN in-place data conversion in
NDArray synchronously
URL: https://github.com/apache/incubator-mxnet/pull/10215#issuecomment-375851062
@zheng-da Thanks for the explaination and the great effort for this issue. I
agree that end users have no need to
rahul003 commented on a change in pull request #10183: [MXNET-120] Float16
support for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/10183#discussion_r176900514
##
File path: src/kvstore/kvstore_dist.h
##
@@ -228,17 +228,18 @@ class KVStoreDist :
rahul003 commented on a change in pull request #10183: [MXNET-120] Float16
support for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/10183#discussion_r176900514
##
File path: src/kvstore/kvstore_dist.h
##
@@ -228,17 +228,18 @@ class KVStoreDist :
eric-haibin-lin commented on a change in pull request #10183: [MXNET-120]
Float16 support for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/10183#discussion_r176899908
##
File path: src/kvstore/kvstore_dist.h
##
@@ -228,17 +228,18 @@ class KVStor
eric-haibin-lin commented on a change in pull request #10183: [MXNET-120]
Float16 support for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/10183#discussion_r176900453
##
File path: tests/nightly/dist_sync_kvstore.py
##
@@ -278,39 +316,49 @@ def
eric-haibin-lin commented on a change in pull request #10183: [MXNET-120]
Float16 support for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/10183#discussion_r176900420
##
File path: src/kvstore/kvstore_dist.h
##
@@ -506,41 +514,46 @@ class KVStor
eric-haibin-lin commented on a change in pull request #10183: [MXNET-120]
Float16 support for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/10183#discussion_r176900404
##
File path: src/kvstore/kvstore_dist.h
##
@@ -228,17 +228,18 @@ class KVStor
rahul003 commented on issue #10232: [MXNET-136] [WIP] [DO_NOT_MERGE] Enabling
USE_DIST_KVSTORE flag for CI
URL: https://github.com/apache/incubator-mxnet/pull/10232#issuecomment-375847064
@cjolivier01 The build with CMake and USE_DIST_KVSTORE fails with an error I
had shown you earlier. Th
rahul003 commented on issue #10232: [WIP] [DO_NOT_MERGE] Enabling
USE_DIST_KVSTORE flag for CI
URL: https://github.com/apache/incubator-mxnet/pull/10232#issuecomment-375847064
@cjolivier01 The build with CMake and USE_DIST_KVSTORE fails with an error I
had shown you earlier. This is appare
zheng-da commented on issue #10021: [MXNET-33] SSD example not working with
mkl-dnn
URL: https://github.com/apache/incubator-mxnet/pull/10021#issuecomment-375846575
@ashokei @pengzhao-intel do you know when the Intel MKLDNN team will fix the
bug in MKLDNN?
rahul003 commented on issue #9933: [MXNET-23] Adding support to profile kvstore
server during distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9933#issuecomment-374869941
Removed the setting of profiler state to not running in destructor. The
server process has its
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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 4950f66 [MXNET-116] Inference - Object
nswamy closed pull request #10229: [MXNET-116] Inference - ObjectDetector and
SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229
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
eric-haibin-lin commented on issue #10231: [MXNET-16] move dmlc-core & nnvm
URL: https://github.com/apache/incubator-mxnet/pull/10231#issuecomment-375846221
@mbaijal could you review license changes? I noticed that two files under
src/nnvm didn't have the apache header
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in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/nlp_toolkit by this push:
new 6875333 fix stale grad, re
iblis17 commented on issue #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#issuecomment-375845762
I added a doc job (1ba9c57), but still no idea how to push outputs from
Jenkins.
Th
solin319 opened a new pull request #10234: [MXNET-135] mx.image.imread support
s3
URL: https://github.com/apache/incubator-mxnet/pull/10234
In current mxnet version, mx.image.imread can only read file in local file
system.
We used dmlc::Stream to read date, it can read file from many ot
iblis17 commented on a change in pull request #10149: WIP: import Julia binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r176899040
##
File path: julia/deps/cblas.h
##
@@ -0,0 +1,544 @@
+#ifndef CBLAS_H
Review comment:
For the Julia built f
zheng-da commented on issue #10215: Avoid MKLDNN in-place data conversion in
NDArray synchronously
URL: https://github.com/apache/incubator-mxnet/pull/10215#issuecomment-375844272
@TaoLv It's difficult. We discussed this before. Who should add this
"reorder" operator? Model developer? It w
ThomasDelteil commented on issue #10165: [MXNET-114] Add the ability to exclude
specific lines in tutorial notebooks generated from .md
URL: https://github.com/apache/incubator-mxnet/pull/10165#issuecomment-375844097
@szha New tutorial here:
http://mxnet-ci-doc.s3-accelerate.dualstack.amaz
sxjscience commented on issue #1: [MXNET-80] Fix average pooling kernel
size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#issuecomment-375842813
In the python side, we can call functions in two ways. 1)Using kwargs, i.e
mx.nd.Pooling(data, kernel=kernel, p
rahul003 commented on issue #9933: [MXNET-23] Adding support to profile kvstore
server during distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9933#issuecomment-375835736
@piiswrong and @cjolivier01 I've implemented a new interface now. Merged
with the existing inte
CoinCheung commented on issue #1: [MXNET-80] Fix average pooling kernel
size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#issuecomment-375840984
We merely changed the order in the function body rather than the function
declarations, and it did pass the te
lightingghost commented on issue #10220: Check failed:
!ndinputs.back()->is_none()
URL:
https://github.com/apache/incubator-mxnet/issues/10220#issuecomment-375840105
Here is a minimum sample to reproduce this error
```python
import mxnet as nd
from mxnet import nd, sym, autogr
Lucasyc opened a new issue #10233: Endless Clone when importing on PowerPC
URL: https://github.com/apache/incubator-mxnet/issues/10233
Note:
We are using ppc64le so we have to build from source. After all installation
we try to import mxnet and then python shell get stuck. We looked int
lightingghost commented on issue #10220: Check failed:
!ndinputs.back()->is_none()
URL:
https://github.com/apache/incubator-mxnet/issues/10220#issuecomment-375840105
Here is a minimum sample to reproduce this error
```python
import mxnet as nd
from mxnet import nd, sym, autogr
zhangchen-qinyinghua commented on issue #9613: Transition matrix is not updated
during the train in the lstm_crf example
URL:
https://github.com/apache/incubator-mxnet/issues/9613#issuecomment-375840160
@anirudh2290
The problem is, the transition matrix should be made one of the parame
lightingghost commented on issue #10220: Check failed:
!ndinputs.back()->is_none()
URL:
https://github.com/apache/incubator-mxnet/issues/10220#issuecomment-375840105
Here is a minimum sample to reproduce this error
```python
import mxnet as nd
from mxnet import nd, sym, autogr
lightingghost commented on issue #10220: Check failed:
!ndinputs.back()->is_none()
URL:
https://github.com/apache/incubator-mxnet/issues/10220#issuecomment-375840105
Here is a minimum sample to reproduce the error
```python
import mxnet as nd
from mxnet import nd, sym, autogra
rahul003 commented on issue #9933: [MXNET-23] Adding support to profile kvstore
server during distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9933#issuecomment-375835736
@piiswrong and @cjolivier01 I've implemented a new interface now. Merged
with the existing inte
TaoLv commented on issue #10215: Avoid MKLDNN in-place data conversion in
NDArray synchronously
URL: https://github.com/apache/incubator-mxnet/pull/10215#issuecomment-375836486
One minor suggestion: why not implement reorder as a operator and dependency
check to dependency engine?
S
sxjscience commented on issue #1: [MXNET-80] Fix average pooling kernel
size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#issuecomment-375836392
We need to either break the backward compatibility of the CPP package or the
backward compatibility of the Pyth
rahul003 commented on issue #9933: [MXNET-23] Adding support to profile kvstore
server during distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9933#issuecomment-375835736
@piiswrong and @cjolivier01 I've implemented a new interface now. Merged
with the existing inte
rahul003 commented on issue #9933: [MXNET-23] Adding support to profile kvstore
server during distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9933#issuecomment-375835736
@piiswrong and @cjolivier01 I've implemented a new interface now. Merged
with the existing inte
rahul003 commented on issue #10183: [MXNET-120] Float16 support for distributed
training
URL: https://github.com/apache/incubator-mxnet/pull/10183#issuecomment-375835656
@piiswrong Could you please review?
This is an automate
rahul003 commented on issue #8390: ValueError: need more than 1 value to unpack
URL:
https://github.com/apache/incubator-mxnet/issues/8390#issuecomment-375833844
Need to add the label converter, gluon
This is an automated mes
sxjscience closed issue #4045: inferred shape error with FullyConnected layer
URL: https://github.com/apache/incubator-mxnet/issues/4045
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To respond to the message, ple
nickeleres commented on issue #4045: inferred shape error with FullyConnected
layer
URL:
https://github.com/apache/incubator-mxnet/issues/4045#issuecomment-375833045
I believe this issue was resolved, thank you
> On Mar 23, 2018, at 5:42 PM, Rahul Huilgol
wrote:
>
> @nickel
rahul003 commented on issue #4045: inferred shape error with FullyConnected
layer
URL:
https://github.com/apache/incubator-mxnet/issues/4045#issuecomment-375832949
@nickeleres If you are still facing this issue, please use our discussion
forum to get help. https://discuss.mxnet.io
--
rahul003 commented on issue #4045: inferred shape error with FullyConnected
layer
URL:
https://github.com/apache/incubator-mxnet/issues/4045#issuecomment-375832239
Needs to be labeled Question, Symbol, Howto
This is an autom
rahul003 commented on issue #4045: inferred shape error with FullyConnected
layer
URL:
https://github.com/apache/incubator-mxnet/issues/4045#issuecomment-375832239
Needs to be labeled Question
This is an automated message fr
anirudhacharya commented on issue #10118: [MXNET-106][ONNX-MXNET] Adding ONNX
Model zoo tests.
URL: https://github.com/apache/incubator-mxnet/pull/10118#issuecomment-375831579
@nswamy @piiswrong Please review this PR.
This i
haojin2 commented on a change in pull request #10208: [MXNET-117] Sparse
operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#discussion_r176890725
##
File path: src/operator/tensor/elemwise_binary_broadcast_op.h
##
@@ -76,
piiswrong commented on a change in pull request #9688: [MXNET-108] Adding
BilinearResize2D and AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r176889828
##
File path: src/operator/contrib/bilinear_resize-inl.h
##
@@ -0,0 +1,
piiswrong commented on a change in pull request #9688: [MXNET-108] Adding
BilinearResize2D and AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r176889815
##
File path: src/operator/contrib/adaptive_avg_pooling-inl.h
##
@@ -0,
piiswrong commented on a change in pull request #9688: [MXNET-108] Adding
BilinearResize2D and AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r176889746
##
File path: src/operator/contrib/adaptive_avg_pooling.cc
##
@@ -0,0 +
piiswrong commented on a change in pull request #9688: [MXNET-108] Adding
BilinearResize2D and AdaptiveAvgPool2d operators
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r176889719
##
File path: src/operator/contrib/adaptive_avg_pooling.cc
##
@@ -0,0 +
szha commented on issue #10165: [MXNET-114] Add the ability to exclude specific
lines in tutorial notebooks generated from .md
URL: https://github.com/apache/incubator-mxnet/pull/10165#issuecomment-375825106
@ThomasDelteil can you do a rebase? There were recent module moves that
broke CI.
rahul003 commented on issue #10183: [MXNET-120] Float16 support for distributed
training
URL: https://github.com/apache/incubator-mxnet/pull/10183#issuecomment-375784506
Yeah we should turn it on
This is an automated message
anirudhacharya opened a new pull request #10216: [WIP] [DO NOT MERGE] Onnx
Model Zoo tests
URL: https://github.com/apache/incubator-mxnet/pull/10216
Raising PR to run the CI pipeline for this code
This is an automated message
rahul003 opened a new pull request #10232: [WIP] [DO_NOT_MERGE] Enabling
USE_DIST_KVSTORE flag for CI
URL: https://github.com/apache/incubator-mxnet/pull/10232
## Description ##
Enabled for make to start with.
CMake would need some dependencies installed.
## Checklist ##
##
eric-haibin-lin commented on issue #10208: [MXNET-117] Sparse operator
broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#issuecomment-375820626
@marcoabreu the pylint result failed on lines not added by this PR. Is there
anything not tested on CI
rahul003 commented on issue #9029: [MXNET-36] Update ndarray binary ops to use
kernel launch instead of mshadow operations
URL: https://github.com/apache/incubator-mxnet/pull/9029#issuecomment-373228390
![Example profile where this operation can help. Server process of kvstore
during distr
cjolivier01 commented on issue #10228: [MXNET-134] Don't do imperative bulk
when profiling aggregate stats
URL: https://github.com/apache/incubator-mxnet/pull/10228#issuecomment-375816614
the option can be turned on and off at will. I think calling into engine and
adjusting the value from
cjolivier01 commented on issue #10228: [MXNET-134] Don't do imperative bulk
when profiling aggregate stats
URL: https://github.com/apache/incubator-mxnet/pull/10228#issuecomment-375816813
Plus, this way it saves it and resores
---
cjolivier01 commented on issue #10228: [MXNET-134] Don't do imperative bulk
when profiling aggregate stats
URL: https://github.com/apache/incubator-mxnet/pull/10228#issuecomment-375816614
the option can be turned on and off at will. I think calling into engine and
adjusting the value from
cjolivier01 commented on issue #10228: [MXNET-134] Don't do imperative bulk
when profiling aggregate stats
URL: https://github.com/apache/incubator-mxnet/pull/10228#issuecomment-375816614
the option can be turned on and off at will. I think calling it from
Profiler::SetConfig() would be we
anirudhacharya closed pull request #10216: [WIP] [DO NOT MERGE] Onnx Model Zoo
tests
URL: https://github.com/apache/incubator-mxnet/pull/10216
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 th
anirudhacharya commented on a change in pull request #10216: [WIP] [DO NOT
MERGE] Onnx Model Zoo tests
URL: https://github.com/apache/incubator-mxnet/pull/10216#discussion_r176876550
##
File path: python/mxnet/contrib/onnx/_import/import_model.py
##
@@ -46,5 +43,5 @@ def i
eric-haibin-lin opened a new pull request #10231: [MXNET-16] move dmlc-core &
nnvm
URL: https://github.com/apache/incubator-mxnet/pull/10231
#10213
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to r
szha commented on a change in pull request #10225: fix word language model
script and readme
URL: https://github.com/apache/incubator-mxnet/pull/10225#discussion_r176874393
##
File path: example/gluon/word_language_model/README.md
##
@@ -1,67 +1,59 @@
# Word-level languag
nswamy commented on a change in pull request #10216: [WIP] [DO NOT MERGE] Onnx
Model Zoo tests
URL: https://github.com/apache/incubator-mxnet/pull/10216#discussion_r176874283
##
File path: python/mxnet/contrib/onnx/_import/import_model.py
##
@@ -46,5 +43,5 @@ def import_mo
reminisce closed issue #10227: Flaky test: test_operator.test_layer_norm
URL: https://github.com/apache/incubator-mxnet/issues/10227
This is an automated message from the Apache Git Service.
To respond to the message, please
eric-haibin-lin commented on issue #10213: [MXNET-16] move nnvm & dmlc-core to
3rdparty
URL: https://github.com/apache/incubator-mxnet/pull/10213#issuecomment-375808964
The CI is not running. I'm going to close it and create a new one.
-
eric-haibin-lin closed pull request #10213: [MXNET-16] move nnvm & dmlc-core to
3rdparty
URL: https://github.com/apache/incubator-mxnet/pull/10213
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:
A
szhengac commented on a change in pull request #10225: fix word language model
script and readme
URL: https://github.com/apache/incubator-mxnet/pull/10225#discussion_r176873734
##
File path: example/gluon/word_language_model/README.md
##
@@ -1,67 +1,59 @@
# Word-level lan
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176871026
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/ObjectDetect
eric-haibin-lin commented on issue #10094: [MXNET-89] Bug fix for bucketing
module
URL: https://github.com/apache/incubator-mxnet/pull/10094#issuecomment-375808391
Sorry I missed the notification when you tagged me. Looks good.
-
eric-haibin-lin commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r176871398
##
File path: julia/README-DEV.md
##
@@ -0,0 +1,13 @@
+# Workflow for making a release
Review comment:
eric-haibin-lin commented on a change in pull request #10149: WIP: import Julia
binding
URL: https://github.com/apache/incubator-mxnet/pull/10149#discussion_r176872523
##
File path: julia/deps/cblas.h
##
@@ -0,0 +1,544 @@
+#ifndef CBLAS_H
Review comment:
Is it necess
piiswrong commented on issue #10228: [MXNET-134] Don't do imperative bulk when
profiling aggregate stats
URL: https://github.com/apache/incubator-mxnet/pull/10228#issuecomment-375807526
How about making engine->bulk_size always 0 when aggregate is running?
-
anirudh2290 commented on a change in pull request #10014: [MXNET-81] Fix crash
with mx.nd.ones
URL: https://github.com/apache/incubator-mxnet/pull/10014#discussion_r176872373
##
File path: src/imperative/imperative_utils.h
##
@@ -70,12 +70,14 @@ inline Context GetContext(c
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176870901
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/ObjectDetect
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176866146
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176867484
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176866239
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176867058
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176867417
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176868169
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176869129
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176869347
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176869213
##
File path:
scala-package/examples/src/main/scala/ml/dmlc/mxnetexamples/inferex
nswamy commented on a change in pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229#discussion_r176871872
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/ObjectDetect
rahul003 commented on issue #10183: [MXNET-120] Float16 support for distributed
training
URL: https://github.com/apache/incubator-mxnet/pull/10183#issuecomment-375784506
Yeah we should turn it on for all builds
This is an aut
rahul003 commented on issue #10183: [MXNET-120] Float16 support for distributed
training
URL: https://github.com/apache/incubator-mxnet/pull/10183#issuecomment-375804869
Thanks @cjolivier01 and @haojin2 , reduced some multiplications, added const
to more places and changed couple of variab
rahul003 commented on a change in pull request #10183: [MXNET-120] Float16
support for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/10183#discussion_r176869283
##
File path: src/kvstore/kvstore_dist_server.h
##
@@ -171,28 +210,31 @@ class KVStor
eric-haibin-lin commented on issue #9396: inference speed drop after updating
mxnet from 0.10.0 to 1.0.0
URL:
https://github.com/apache/incubator-mxnet/issues/9396#issuecomment-375800483
@DickJC123 thanks! That will be great.
--
piiswrong commented on a change in pull request #10216: [WIP] [DO NOT MERGE]
Onnx Model Zoo tests
URL: https://github.com/apache/incubator-mxnet/pull/10216#discussion_r176864388
##
File path: python/mxnet/contrib/onnx/_import/import_model.py
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@@ -46,5 +43,5 @@ def import
This is an automated email from the ASF dual-hosted git repository.
jxie 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 5c7407d [MXNet-111] Doc for gluon.data.t
piiswrong closed pull request #10155: [MXNet-111] Doc for gluon.data.transforms
URL: https://github.com/apache/incubator-mxnet/pull/10155
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
piiswrong commented on issue #10215: [WIP] Avoid MKLDNN in-place data
conversion in NDArray synchronously
URL: https://github.com/apache/incubator-mxnet/pull/10215#issuecomment-375798589
sure
This is an automated message from
msurguy opened a new issue #10230: libomp.so is missing in Docker builds for
armv6
URL: https://github.com/apache/incubator-mxnet/issues/10230
## Description
After compiling and deploying MXNet to Raspberry Pi Zero using the new
Docker builds, the `libomp.so` error prevents import of MX
lanking520 commented on issue #10179: [MXNET-116] object detector class added
URL: https://github.com/apache/incubator-mxnet/pull/10179#issuecomment-375796536
Please move to: https://github.com/apache/incubator-mxnet/pull/10229.
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lanking520 opened a new pull request #10229: [MXNET-116] Inference -
ObjectDetector and SSDObjectDetectorExample
URL: https://github.com/apache/incubator-mxnet/pull/10229
## Description ##
Add Object Detection Class for MXNet Inference API, also add test and
example to it. This code is
szha commented on issue #10225: fix word language model script and readme
URL: https://github.com/apache/incubator-mxnet/pull/10225#issuecomment-375796103
It's mostly useful when many HybridBlocks are stacked together. Right now
there are no such cases.
szha commented on a change in pull request #10225: fix word language model
script and readme
URL: https://github.com/apache/incubator-mxnet/pull/10225#discussion_r176860890
##
File path: example/gluon/word_language_model/README.md
##
@@ -1,67 +1,59 @@
# Word-level languag
sxjscience commented on a change in pull request #10225: fix word language
model script and readme
URL: https://github.com/apache/incubator-mxnet/pull/10225#discussion_r176860732
##
File path: example/gluon/word_language_model/README.md
##
@@ -1,67 +1,59 @@
# Word-level l
szhengac commented on issue #10225: fix word language model script and readme
URL: https://github.com/apache/incubator-mxnet/pull/10225#issuecomment-375794911
but it may be useful if some internal blocks were hybridblock, especially
when users want to create their custom layers using hybrid
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