pratapram commented on issue #5487: "Check if MXNet is installed": Python
import error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-336801299
I see the same issue. I am following instructions here
https://mxnet.incubator.apache.org
PeterFelixNguyen opened a new issue #5487: "Check if MXNet is installed":
Python import error: symbol not found: ___addtf3
URL: https://github.com/apache/incubator-mxnet/issues/5487
## Environment info
Operating System: MacOS El Capitan Version 10.11.6
Compiler: Clang 800.0.42.1 (
ZiyueHuang commented on issue #8259: [WIP] check_format of ndrray, mainly for
csr
URL: https://github.com/apache/incubator-mxnet/pull/8259#issuecomment-336791812
If `MXNET_ENGINE_TYPE=ThreadedEngine` and `CHECK` fails in engine,
`mx.base.MXNetError` cannot catch this exception, so how to a
ZiyueHuang commented on issue #8259: [WIP] check_format of ndrray, mainly for
csr
URL: https://github.com/apache/incubator-mxnet/pull/8259#issuecomment-336791812
If `MXNET_ENGINE_TYPE=ThreadedEngine` and `CHECK` fails in engine,
`mx.base.MXNetError` cannot catch this exception, so how to a
junranhe opened a new issue #8290: dist_sync kvstore can not load balance ?
URL: https://github.com/apache/incubator-mxnet/issues/8290
hi, I do distributed training with 8 classes ,the base network is
inception-resent_v2 the last predict layer are concat by 8 fc layer(weight
shape is
agataradys opened a new issue #8291: Import error in SSD example
URL: https://github.com/apache/incubator-mxnet/issues/8291
## Description
After this commit
https://github.com/apache/incubator-mxnet/commit/b2ce81218b13c3140dc3d2fd9fa27a1dd0264b75
SSD example stopped working. In this lin
edmBernard commented on issue #8291: Import error in SSD example
URL:
https://github.com/apache/incubator-mxnet/issues/8291#issuecomment-336856532
did you use python2 or python3 ?
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solin319 commented on issue #8289: Multi GPU Parallel efficiency In benchmark
URL:
https://github.com/apache/incubator-mxnet/issues/8289#issuecomment-336867991
--gpus=0,1,2,3 means use 4 gpus
This is an automated message fro
solin319 commented on issue #8290: dist_sync kvstore can not load balance ?
URL:
https://github.com/apache/incubator-mxnet/issues/8290#issuecomment-336870201
The default value of environment parameter MXNET_KVSTORE_BIGARRAY_BOUND is
10^6.
In key-value pairs, if the number of values larg
larroy opened a new issue #8292: mx.nd.array indexing broken in armv7 /
raspberrypi / jessie 8.0
URL: https://github.com/apache/incubator-mxnet/issues/8292
## Description
test_ndarray_slice broken in armv7
multidimensional array indexing broken for 5 dimensions.
## Environment
adeagle commented on issue #8289: Multi GPU Parallel efficiency In benchmark
URL:
https://github.com/apache/incubator-mxnet/issues/8289#issuecomment-336876023
example/gluon/image_classification.py:
gpus = opt.gpus
if opt.benchmark:
#batch_size = 6
dataset = 'dumm
junranhe commented on issue #8290: dist_sync kvstore can not load balance ?
URL:
https://github.com/apache/incubator-mxnet/issues/8290#issuecomment-336878239
@solin319 thanks for reply! but how the params stored?randow? How can I
get the stored data information details???
-
mbaijal commented on issue #7749: MXNet 0.11.0 Release Feedback: Source Headers
and License Files
URL:
https://github.com/apache/incubator-mxnet/issues/7749#issuecomment-336937731
Henri, Thanks for your response.
1. Headers: **both a) and b) are going to affect almost all headers -
mbaijal commented on issue #7749: MXNet 0.11.0 Release Feedback: Source Headers
and License Files
URL:
https://github.com/apache/incubator-mxnet/issues/7749#issuecomment-336937731
Henri, Thanks for your response.
1. Headers: **both a) and b) are going to affect almost all headers -
mbaijal commented on issue #7749: MXNet 0.11.0 Release Feedback: Source Headers
and License Files
URL:
https://github.com/apache/incubator-mxnet/issues/7749#issuecomment-336938338
@bhavinthaker @srochel
Do you agree?
Th
mbaijal commented on issue #7749: MXNet 0.11.0 Release Feedback: Source Headers
and License Files
URL:
https://github.com/apache/incubator-mxnet/issues/7749#issuecomment-336938338
@bhavinthaker @srochel
Do you agree?
Th
mbaijal commented on issue #7749: MXNet 0.11.0 Release Feedback: Source Headers
and License Files
URL:
https://github.com/apache/incubator-mxnet/issues/7749#issuecomment-336937731
Henri, Thanks for your response.
1. Headers: **both a) and b) are going to affect almost all headers -
mbaijal commented on issue #7749: MXNet 0.11.0 Release Feedback: Source Headers
and License Files
URL:
https://github.com/apache/incubator-mxnet/issues/7749#issuecomment-336937731
Henri, Thanks for your response.
1. Headers: **both a) and b) are going to affect almost all headers -
szha commented on issue #5487: "Check if MXNet is installed": Python import
error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-336946969
@pratapram Do you have the same environment?
--
tqchen commented on issue #8227: [CMAKE] Fix windows cmake build
URL: https://github.com/apache/incubator-mxnet/pull/8227#issuecomment-336948589
@piiswrong @cjolivier01 this now passes the tests
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cjolivier01 commented on issue #8227: [CMAKE] Fix windows cmake build
URL: https://github.com/apache/incubator-mxnet/pull/8227#issuecomment-336949548
You want this in v0.12.0?
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cjolivier01 closed pull request #8227: [CMAKE] Fix windows cmake build
URL: https://github.com/apache/incubator-mxnet/pull/8227
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cjolivier01 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 1c1c788 [CMAKE] Fix windows cmake
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cjolivier01 pushed a change to branch v0.12.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 99099fa generate op frontend code for IDE auto-complete (#8244)
add 1c1c788 [CMAKE] Fix windows
cjolivier01 commented on issue #8227: [CMAKE] Fix windows cmake build
URL: https://github.com/apache/incubator-mxnet/pull/8227#issuecomment-336950233
Rebased into v0.12.0
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cjolivier01 opened a new pull request #8293: Added my code signing key
URL: https://github.com/apache/incubator-mxnet/pull/8293
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
pratapram commented on issue #5487: "Check if MXNet is installed": Python
import error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-336956820
I think so. I tried compiling, later tried installing using brew from here:
https://mxnet.i
szha commented on issue #5487: "Check if MXNet is installed": Python import
error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-336960770
@sandeep-krishnamurthy @bhavinthaker the script has hardcoded 0.10.0. Does
either of you intend
szha commented on issue #5487: "Check if MXNet is installed": Python import
error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-336960770
Unrelated to this issue: @sandeep-krishnamurthy @bhavinthaker the script has
hardcoded 0.10.0. D
szha commented on issue #5487: "Check if MXNet is installed": Python import
error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-336961235
@pratapram what's the output of `otool -L
/Users/xxx/anaconda2/lib/python2.7/site-packages/mxnet
piiswrong commented on issue #8292: mx.nd.array indexing broken in armv7 /
raspberrypi / jessie 8.0 (5 dimensional tensor)
URL:
https://github.com/apache/incubator-mxnet/issues/8292#issuecomment-336961278
Possibly due to int32 vs int64?
---
piiswrong commented on issue #8292: mx.nd.array indexing broken in armv7 /
raspberrypi / jessie 8.0 (5 dimensional tensor)
URL:
https://github.com/apache/incubator-mxnet/issues/8292#issuecomment-336961278
Possibly due to int32 vs int64?
@reminisce
---
ptrendx opened a new pull request #8294: NCCL integration
URL: https://github.com/apache/incubator-mxnet/pull/8294
## Description ##
This PR provides new KVStore type with integration for NCCL communication
library.
## Checklist ##
### Essentials ###
- [x] Passed code style
ptrendx closed pull request #5521: [WIP] NCCL support
URL: https://github.com/apache/incubator-mxnet/pull/5521
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ptrendx commented on issue #5521: [WIP] NCCL support
URL: https://github.com/apache/incubator-mxnet/pull/5521#issuecomment-336962266
Closing in favor of #8294
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piiswrong commented on issue #8294: NCCL integration
URL: https://github.com/apache/incubator-mxnet/pull/8294#issuecomment-336963099
@mli @eric-haibin-lin
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srochel commented on issue #7749: MXNet 0.11.0 Release Feedback: Source Headers
and License Files
URL:
https://github.com/apache/incubator-mxnet/issues/7749#issuecomment-336968860
Henri - #1 is too big a change to take into 0.12 in the last minute. We will
address and include in next rele
szha commented on issue #5487: "Check if MXNet is installed": Python import
error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-336970127
@pratapram looks like this symbol is in libgcc. Did you use openblas instead
of apple's accelera
szha commented on issue #5487: "Check if MXNet is installed": Python import
error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-336960770
Unrelated to this issue: @sandeep-krishnamurthy @bhavinthaker the script has
hardcoded 0.10.0. D
ZiyueHuang commented on issue #8259: [WIP] check_format of ndrray, mainly for
csr
URL: https://github.com/apache/incubator-mxnet/pull/8259#issuecomment-336983158
`CHECK` is moved outside of engine and test can pass now.
This
AlexTS1980 opened a new issue #8295: Building with cmake - error
URL: https://github.com/apache/incubator-mxnet/issues/8295
I tried building with cmake (make reported mupltiple errors):
cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CONFIGURATION_TYPES="Release"
-DUSE_OPENMP="ON" -DUSE_CU
benqua commented on issue #8245: Use argmax instead of argmax_channel in
Accuracy to keep dimention
URL: https://github.com/apache/incubator-mxnet/pull/8245#issuecomment-336993852
I don't see why the test fails but don't think this is due to my proposed
change.
@Ldpe2G any idea?
-
cjolivier01 opened a new pull request #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296
Significant improvement on CPU (several magnitudes of order in some cases,
especially on backward pass).
Very slight improvement on GPU.
OLD MSHA
benqua opened a new pull request #8297: [scala] Make accuracy idependant of
output size (fix #8226)
URL: https://github.com/apache/incubator-mxnet/pull/8297
## Description ##
This change accuracy from absolute to a percentage of the total output.
Currently, accuracy magnitude depends
benqua commented on issue #8226: [scala] Accuracy precision is too low
URL:
https://github.com/apache/incubator-mxnet/issues/8226#issuecomment-337007742
@Ldpe2G I did a PR:
https://github.com/apache/incubator-mxnet/pull/8297
I also did another PR that fix #8129 following your advice.
piiswrong commented on issue #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296#issuecomment-337008157
why is it slower in some cases?
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daMogli opened a new issue #8298: Pretrained model in dropbox
URL: https://github.com/apache/incubator-mxnet/issues/8298
Can you add the pre-trained model to dropbox please? It is difficult to
obtain the pre-trained model from baidu from outside of china.
-
cjolivier01 commented on issue #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296#issuecomment-337018606
You see more than one case? I only see a single case that's slower. It's
not clear why, but probably due to OMP characteristics.
--
szha commented on issue #8298: Pretrained model in dropbox
URL:
https://github.com/apache/incubator-mxnet/issues/8298#issuecomment-337021154
which models are you referring to?
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cjolivier01 commented on issue #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296#issuecomment-337023128
This one was done with GPU build enabled, let me run with CPU-only build...
--
cjolivier01 commented on issue #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296#issuecomment-337023128
This one was done with GPU build enabled, let me run with CPU-only build...
(I've done this before, but the #'s above are with GPU enabled
pratapram commented on issue #5487: "Check if MXNet is installed": Python
import error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-337024891
Yes. I used openblas
Here is the output of otool:
$ otool -L
/Users/xxx/an
indhub opened a new issue #8299: test_cifar10 fails in CI master build
URL: https://github.com/apache/incubator-mxnet/issues/8299
## Description
test_cifar10 fails in CI master build.
Failed build:
https://builds.apache.org/blue/organizations/jenkins/incubator-mxnet/detail/master/
szha commented on issue #5487: "Check if MXNet is installed": Python import
error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-337026234
Consider changing to `USE_BLAS=apple`. Otherwise you will need to deal with
getting the right li
cjolivier01 commented on issue #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296#issuecomment-337026372
CPU-ONLY BUILD
==
OLD MSHADOW APPROACH
Timing: 50 iterations of 10 calls, shape = [
cjolivier01 commented on issue #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296#issuecomment-337026774
It's faster in most cases for CPU-only build. Where it isn't, the difference
is not large. The speed should be further-enhanced with OMP-t
cjolivier01 commented on issue #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296#issuecomment-337026774
It's faster in most cases for CPU-only build. Where it isn't, the difference
is not large. The speed should be further-enhanced with OMP-t
cjolivier01 commented on issue #8296: CPU optimization for ActivationOp
URL: https://github.com/apache/incubator-mxnet/pull/8296#issuecomment-337026774
It's faster in most cases for CPU-only build. Where it isn't, the difference
is not large. The speed should be further-enhanced with OMP-t
thinksanky opened a new pull request #8300: fixed broken links. https was
pointing to http for mxnet.io
URL: https://github.com/apache/incubator-mxnet/pull/8300
## Description ##
Fixed 4 links.
Other links are already in the previous commit and validated fine manually
in the current
pratapram commented on issue #5487: "Check if MXNet is installed": Python
import error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-337028608
Can you explain a bit more? Is this an enviroment variable or a config file?
On Mon,
mbaijal opened a new pull request #8301: Preparing for 0.12.0.rc0: Final
changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301
## Description ##
Preparing for 0.12.0.rc0: Final changes before RC
## Checklist ##
### Essentials ###
- [ ] Passed code style
szha commented on issue #5487: "Check if MXNet is installed": Python import
error: symbol not found: ___addtf3
URL:
https://github.com/apache/incubator-mxnet/issues/5487#issuecomment-337037381
It can be either an entry of the config file or can be passed in as
environment variable.
szha commented on a change in pull request #8300: fixed broken links. https was
pointing to http for mxnet.io
URL: https://github.com/apache/incubator-mxnet/pull/8300#discussion_r144964820
##
File path: docs/tutorials/sparse/train.md
##
@@ -99,7 +99,7 @@ f = mx.sym.sparse.
szha commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144965231
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-###
szha commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144965371
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-###
sebouh commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144969351
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-#
mbaijal commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144969582
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-
zheng-da opened a new pull request #8302: Refactor operators
URL: https://github.com/apache/incubator-mxnet/pull/8302
## Description ##
Refactor operators to use the NNVM interface.
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
- [ ] Cha
piiswrong commented on issue #8302: Refactor operators
URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-337048293
Please move cudnn_* files into nn/cudnn/
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piiswrong commented on issue #8302: Refactor operators
URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-337048293
Please move cudnn_* files into nn/cudnn/.
also move cudnn_algoreg into nn/cudnn/
This i
piiswrong commented on a change in pull request #8302: Refactor operators
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r144974594
##
File path: src/operator/nn/convolution.cc
##
@@ -0,0 +1,433 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Ldpe2G commented on issue #8245: Use argmax instead of argmax_channel in
Accuracy to keep dimention
URL: https://github.com/apache/incubator-mxnet/pull/8245#issuecomment-337055492
Try restart the test and have you test the Accuracy metric on classification
task after the modification? I am
eric-haibin-lin opened a new issue #8303: arange op returns wrong result
URL: https://github.com/apache/incubator-mxnet/issues/8303
Note: Providing complete information in the most concise form is the best
way to get help. This issue template serves as the checklist for essential
informati
szha commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144983456
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-###
mbaijal commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144984936
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-
thinksanky commented on a change in pull request #8300: fixed broken links.
https was pointing to http for mxnet.io
URL: https://github.com/apache/incubator-mxnet/pull/8300#discussion_r144985863
##
File path: docs/tutorials/sparse/train.md
##
@@ -99,7 +99,7 @@ f = mx.sym.s
szha commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144986593
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-###
eric-haibin-lin closed issue #8303: arange op returns wrong result
URL: https://github.com/apache/incubator-mxnet/issues/8303
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eric-haibin-lin commented on issue #8303: arange op returns wrong result
URL:
https://github.com/apache/incubator-mxnet/issues/8303#issuecomment-337063409
Fixed by #8268
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eric-haibin-lin opened a new issue #8303: mshadow::range returns wrong result
URL: https://github.com/apache/incubator-mxnet/issues/8303
Note: Providing complete information in the most concise form is the best
way to get help. This issue template serves as the checklist for essential
info
eric-haibin-lin commented on issue #8303: mshadow::range returns wrong result
URL:
https://github.com/apache/incubator-mxnet/issues/8303#issuecomment-337063409
arange op is Fixed by #8268, but other operators that uses mshadow::range
have this issue
--
szha opened a new pull request #8304: remove usage of install command from code
gen
URL: https://github.com/apache/incubator-mxnet/pull/8304
## Description ##
This change removes the usage of install command to avoid the side-effect of
inconsistent behavior than before.
## Checkl
cjolivier01 closed pull request #8293: Added my code signing key
URL: https://github.com/apache/incubator-mxnet/pull/8293
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cjolivier01 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 22ab185 Added my code signing key
sebouh commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144992148
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-#
sebouh commented on a change in pull request #8301: Preparing for 0.12.0.rc0:
Final changes before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301#discussion_r144992148
##
File path: NEWS.md
##
@@ -1,34 +1,46 @@
MXNet Change Log
## 0.12.0
-#
eric-haibin-lin commented on issue #7152: [WIP] New faster version of the
RecordIO iterator
URL: https://github.com/apache/incubator-mxnet/pull/7152#issuecomment-337070802
Does it print warnings when shuffle is set to True?
mbaijal commented on issue #8304: remove usage of install command from code gen
URL: https://github.com/apache/incubator-mxnet/pull/8304#issuecomment-337071022
does this fix the error here -
http://jenkins-master-elb-1979848568.us-east-1.elb.amazonaws.com/view/Prod/job/NightlyTutorialUbuntu
zheng-da commented on a change in pull request #8302: Refactor operators
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r144995243
##
File path: src/operator/nn/convolution.cc
##
@@ -0,0 +1,433 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
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cjolivier01 pushed a change to branch v0.12.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 1c1c788 [CMAKE] Fix windows cmake build (#8227)
add 22ab185 Added my code signing key (#8293)
ptrendx commented on issue #7152: [WIP] New faster version of the RecordIO
iterator
URL: https://github.com/apache/incubator-mxnet/pull/7152#issuecomment-337078389
Are you talking about the comment that shuffle does not work yet? This was
when I was still working on it and is no longer tru
eric-haibin-lin opened a new issue #8305: MXNet Build Failure with DEV=1
URL: https://github.com/apache/incubator-mxnet/issues/8305
Note: Providing complete information in the most concise form is the best
way to get help. This issue template serves as the checklist for essential
informati
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cjolivier01 pushed a commit to branch v0.12.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v0.12.0 by this push:
new 3b5d0c1 Revert "[CMAKE] Fix win
ptrendx commented on issue #8305: MXNet Build Failure with DEV=1
URL:
https://github.com/apache/incubator-mxnet/issues/8305#issuecomment-337082130
Will look into it.
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q2516581 opened a new issue #8306: [R] Bug in mx.nd.one.hot or gan code in
example
URL: https://github.com/apache/incubator-mxnet/issues/8306
I'm R woker.
i m testing the GAN net using the R code from the mxnet example, but it has
something error.
incubator-mxnet/example/gan/CGAN_mn
eric-haibin-lin opened a new pull request #8307: [sparse] Remove usage of
arange in FillDnsZerosRspImpl
URL: https://github.com/apache/incubator-mxnet/pull/8307
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [x] Passed cod
pqviet opened a new issue #8308: Error with Python custom operator in
distributed learning
URL: https://github.com/apache/incubator-mxnet/issues/8308
I got the same error "Cannot find custom operator type *"
when running FasterRCNN-like methods with distributed learning in multiple
mach
zhangqianghd opened a new issue #8309: asnumpy is slowly ,how can I speed up it?
URL: https://github.com/apache/incubator-mxnet/issues/8309
I use pretrained mod for prediction.I found asnumpy was slowly can took up
most of the time.
```
import time
# compute the predict probabi
szha commented on issue #8309: asnumpy is slowly ,how can I speed up it?
URL:
https://github.com/apache/incubator-mxnet/issues/8309#issuecomment-337097361
The operations are lazy-evaluated, so it's expected for the collection
method takes most of the time. You can use the profiler to get t
squirrel16 opened a new issue #8310: Bugs in /example/
URL: https://github.com/apache/incubator-mxnet/issues/8310
1. In `/example/ssd/evaluate_net.py`, Line84 DetRecordIter using the default
RGB means, not the params set in `/example/ssd/evaluate.py`.
2. In `/example/rcnn/rcnn/symbol/sym
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