xzqjack commented on issue #7608: OSError: libcudart.so.8.0: cannot open shared
object
URL:
https://github.com/apache/incubator-mxnet/issues/7608#issuecomment-324841901
I have similar issue when i use tensorflow, even when i set the cuda/lib64
path in ~/.bashrc. The below code works for
chinakook commented on issue #7610: error C2768 "linalg_gemm":Illegal use of
explicit template arguments
URL:
https://github.com/apache/incubator-mxnet/issues/7610#issuecomment-324844136
error LNK2019
"void __cdecl linalg_batch_trsm"
"void __cdecl linalg_batch_gemm"
---
lupesko opened a new pull request #7612: Updating install doc to remove xcode
prerequisite where not necessary
URL: https://github.com/apache/incubator-mxnet/pull/7612
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lialie commented on issue #6773: Deadlock and crashes during shutdown
URL: https://github.com/apache/incubator-mxnet/pull/6773#issuecomment-324846887
still have deadlock while shutting down. Windows 7 with Version:
4b94360e6e970ea71252f1e79b841e7bc4105de5.
Temporary have
~ThreadedE
thomasmooon commented on issue #7595: MXNetR: How to corrupt input layer? (
URL:
https://github.com/apache/incubator-mxnet/issues/7595#issuecomment-324848550
If I would do this, then I'd have the same mask for every iteration / batch.
This would be equal to corrupt my data directly (out
DickJC123 commented on issue #7603: Convert dot to linalg gemm
URL: https://github.com/apache/incubator-mxnet/pull/7603#issuecomment-324849062
Partial function specialization apparently not legal. Will fix in follow up
PR.
Sent from my iPhone
> On Aug 24, 2017, at 10:58 PM, ch
idealboy commented on issue #7592: About the train-accuracy between mxnet and
caffe
URL:
https://github.com/apache/incubator-mxnet/issues/7592#issuecomment-324849383
In caffe, only "mirror" is specified in the prototxt configuration, when in
trainning, the image was resize to 256*256, and
idealboy commented on issue #7592: About the train-accuracy between mxnet and
caffe
URL:
https://github.com/apache/incubator-mxnet/issues/7592#issuecomment-324849653
@tornadomeet
Thank you for your attention for this problem!
In caffe, only "mirror" is specified in the proto
chinakook opened a new pull request #7613: 1x1 convolution acceleration
URL: https://github.com/apache/incubator-mxnet/pull/7613
* GEMM directly without im2col or col2im in 1x1 convolution(stride=1,pad=0).
The 1x1 convolution is used very common in modern CNN networks such as
Googlenet/Inc
chinakook commented on issue #7596: "is_1x1_" in convolution operator is not
really used
URL:
https://github.com/apache/incubator-mxnet/issues/7596#issuecomment-324852900
@reminisce PR is pulled. #7613
This is an automated
chinakook commented on issue #7596: "is_1x1_" in convolution operator is not
really used
URL:
https://github.com/apache/incubator-mxnet/issues/7596#issuecomment-324852900
@reminisce PR is pushed. #7613
This is an automated
chinakook closed issue #7596: "is_1x1_" in convolution operator is not really
used
URL: https://github.com/apache/incubator-mxnet/issues/7596
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SherlockLiao commented on issue #7593: why gluon is slower than PyTorch?
URL:
https://github.com/apache/incubator-mxnet/issues/7593#issuecomment-324853982
I notice that in PyToch DataLoader, there is a parameter named num_worker,
but in Gluon DataLoader, there is no such a parameter. This
chinakook closed issue #7610: error C2768 "linalg_gemm":Illegal use of explicit
template arguments
URL: https://github.com/apache/incubator-mxnet/issues/7610
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buaacszj commented on issue #5023: Segmentation fault (core dumped) after
"import mxnet as mx "
URL:
https://github.com/apache/incubator-mxnet/issues/5023#issuecomment-324858024
Hi, have you solved this problem now? I also encountered this problem.
I build mxnet with warp-ctc plugin
asmushetzel commented on issue #7603: Convert dot to linalg gemm
URL: https://github.com/apache/incubator-mxnet/pull/7603#issuecomment-324869173
Agree that this is the correct strategy. Let's make linalg_ the primary
interface for all non-trivial matrix/vector operations and provide any typ
chichan01 opened a new issue #7614: Error in ---kv-store dist_***
URL: https://github.com/apache/incubator-mxnet/issues/7614
For bugs or installation issues, please provide the following information.
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thomasmooon commented on issue #7595: MXNetR: How to corrupt input layer? (
URL:
https://github.com/apache/incubator-mxnet/issues/7595#issuecomment-324899217
Solved
-
thomasmooon closed issue #7595: MXNetR: How to corrupt input layer? (
URL: https://github.com/apache/incubator-mxnet/issues/7595
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chinakook commented on issue #7588: Why a same code's GPU version cost more
memory than CPU version?
URL:
https://github.com/apache/incubator-mxnet/issues/7588#issuecomment-324902014
+1, I have this problem too. When I test a SSD detection model in CPU, the
host memory consumption is abou
chinakook commented on issue #7588: Why a same code's GPU version cost more
memory than CPU version?
URL:
https://github.com/apache/incubator-mxnet/issues/7588#issuecomment-324902014
+1, I have this problem too. When I test a SSD detection model in CPU, the
host memory consumption is abou
chinakook commented on issue #7588: Why a same code's GPU version cost more
memory than CPU version?
URL:
https://github.com/apache/incubator-mxnet/issues/7588#issuecomment-324902014
+1, I have this problem too. When I test a SSD detection model in CPU, the
host memory consumption is abou
chinakook commented on issue #7588: Why a same code's GPU version cost more
memory than CPU version?
URL:
https://github.com/apache/incubator-mxnet/issues/7588#issuecomment-324902014
+1, I have this problem too. When I test a SSD detection model in CPU, the
host memory consumption is abou
chinakook commented on issue #7588: Why a same code's GPU version cost more
memory than CPU version?
URL:
https://github.com/apache/incubator-mxnet/issues/7588#issuecomment-324902014
+1. This situation will appear after call mx.mod.Module.bind. I also found
that It's no matter with the mo
dma100180 commented on issue #2206: Extracting layer weights
URL:
https://github.com/apache/incubator-mxnet/issues/2206#issuecomment-324909270
In R is model$arg_params to take all and model$arg_params$fc1_weight to take
onli the weight of layer one.
--
GarrickLin opened a new issue #7615: accuracy sacrificed with multi-gpu using
gluon
URL: https://github.com/apache/incubator-mxnet/issues/7615
For bugs or installation issues, please provide the following information.
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GarrickLin commented on issue #7615: accuracy sacrificed with multi-gpu using
gluon
URL:
https://github.com/apache/incubator-mxnet/issues/7615#issuecomment-324913528
for 4 gpu training batchsize is 256
for 1 gpu training batchsize is 32
cjolivier01 commented on issue #6773: Deadlock and crashes during shutdown
URL: https://github.com/apache/incubator-mxnet/pull/6773#issuecomment-324936297
What is your deadlock situation? Where are threads blocked?
This is an
cjolivier01 commented on a change in pull request #6482: Use GNUInstallDirs and
improve CMake handling of shared/static mxnet library.
URL: https://github.com/apache/incubator-mxnet/pull/6482#discussion_r135292323
##
File path: CMakeLists.txt
##
@@ -428,19 +424,16 @@ endif
reminisce commented on issue #7604: Refactor random linalg contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#issuecomment-324961668
@piiswrong I have submitted the
[commit](https://github.com/apache/incubator-mxnet/pull/7604/commits/e5e902968a7a1d3c62813a5ff17be5fb
cjolivier01 opened a new pull request #7616: Profiler memleak
URL: https://github.com/apache/incubator-mxnet/pull/7616
Memory leak found with Intel Inspector corrected. Validated all unit tests.
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cjolivier01 closed pull request #7616: Profiler memleak
URL: https://github.com/apache/incubator-mxnet/pull/7616
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cjolivier01 opened a new pull request #7617: Fix memory leak in profiler
URL: https://github.com/apache/incubator-mxnet/pull/7617
Automatically delete DevStat object at shutdown
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rahul003 commented on issue #7603: Convert dot to linalg gemm
URL: https://github.com/apache/incubator-mxnet/pull/7603#issuecomment-324977071
MIN=1 in jenkinsfile still causes the build to fail
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rahul003 commented on issue #7597: fix for amalgamation build with MIN=1
URL: https://github.com/apache/incubator-mxnet/pull/7597#issuecomment-324978224
Looks like this issue hasn't been fixed yet.
https://builds.apache.org/blue/organizations/jenkins/incubator-mxnet/detail/master/243/pi
rahul003 commented on issue #7597: fix for amalgamation build with MIN=1
URL: https://github.com/apache/incubator-mxnet/pull/7597#issuecomment-324978224
Looks like this issue hasn't been fixed yet.
https://builds.apache.org/blue/organizations/jenkins/incubator-mxnet/detail/master/243/pi
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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 942e888 fix linalg_impl (#7611)
942e888
piiswrong closed pull request #7611: fix linalg_impl
URL: https://github.com/apache/incubator-mxnet/pull/7611
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de-vri-es commented on a change in pull request #6482: Use GNUInstallDirs and
improve CMake handling of shared/static mxnet library.
URL: https://github.com/apache/incubator-mxnet/pull/6482#discussion_r135306357
##
File path: CMakeLists.txt
##
@@ -428,19 +424,16 @@ endif()
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jxie pushed a change to branch piiswrong-patch-7
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 8d33d5e Update ndarray.py
add 1aceadb Update ndarray.py
No new revisions were added by this
mli opened a new pull request #7618: Reshuffle data for each epoch in
NDArrayIter
URL: https://github.com/apache/incubator-mxnet/pull/7618
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piiswrong commented on issue #7587: update mklml and mkl mac support
URL: https://github.com/apache/incubator-mxnet/pull/7587#issuecomment-324979589
Updates?
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reminisce commented on a change in pull request #7613: 1x1 convolution
acceleration
URL: https://github.com/apache/incubator-mxnet/pull/7613#discussion_r135291151
##
File path: src/operator/convolution-inl.h
##
@@ -132,6 +132,28 @@ class ConvolutionOp : public Operator {
piiswrong commented on issue #7615: accuracy sacrificed with multi-gpu using
gluon
URL:
https://github.com/apache/incubator-mxnet/issues/7615#issuecomment-324980922
Probably because you changed batchsize but didn't adjust learning rate?
@zhreshold
piiswrong commented on issue #7614: Error in ---kv-store dist_***
URL:
https://github.com/apache/incubator-mxnet/issues/7614#issuecomment-324981674
```
export: Command not found.
export: Command not found.
export: Command not found.
export: Command not found.
export: Command
piiswrong closed issue #7589: gluon rnn bug
URL: https://github.com/apache/incubator-mxnet/issues/7589
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piiswrong commented on issue #7610: error C2768 "linalg_gemm":Illegal use of
explicit template arguments
URL:
https://github.com/apache/incubator-mxnet/issues/7610#issuecomment-324985381
Is this solved by the most recent fix?
--
szha commented on issue #7587: update mklml and mkl mac support
URL: https://github.com/apache/incubator-mxnet/pull/7587#issuecomment-324987783
Sorry, been occupied. I'm working on this today.
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szha commented on issue #7593: why gluon is slower than PyTorch?
URL:
https://github.com/apache/incubator-mxnet/issues/7593#issuecomment-324988001
Yes, I'm guessing it's the I/O that can be improved. @piiswrong @zhreshold
Th
hnhuang commented on issue #7582: Gluon GPU memory efficiency
URL:
https://github.com/apache/incubator-mxnet/issues/7582#issuecomment-324990383
I tried keras+mxnet. For keras+mxnet, I can set batch_size = 20, but for
keras+tf, I can set batch_size = 32.
--
zhreshold commented on issue #7593: why gluon is slower than PyTorch?
URL:
https://github.com/apache/incubator-mxnet/issues/7593#issuecomment-324990971
@SherlockLiao How many gpus do you have? And what model is it? I could try
to debug it.
smolix opened a new pull request #7605: Many loss functions
URL: https://github.com/apache/incubator-mxnet/pull/7605
Added a plethora of loss functions (probably more to come) to make losses a
winning thing. In particular, added many classical scalar loss functions, more
max-margin losses
rohith14 opened a new issue #7619: train_cifar10.py issue
URL: https://github.com/apache/incubator-mxnet/issues/7619
I get this error while running train_cifar10.py,
[17:56:49] /home/ec2-user/src/mxnet/dmlc-core/include/dmlc/./logging.h:304:
[17:56:49] src/io/image_aug_default.cc:282
Godricly commented on issue #7609: Update ndarray.py
URL: https://github.com/apache/incubator-mxnet/pull/7609#issuecomment-324997166
looks good for me. I'll try it later. BTW, is the anyway to slice a
mx.nd.array with a list?
something like this
```python
a=mx.nd.array((4,4))
b
Godricly commented on issue #7609: Update ndarray.py
URL: https://github.com/apache/incubator-mxnet/pull/7609#issuecomment-324997166
looks good for me. I'll try it later. BTW, is there anyway to slice a
mx.nd.array with a list?
something like this
```python
a=mx.nd.array((4,4))
cjolivier01 commented on a change in pull request #7577: Sparse operators for
unary and binary elemwise NDArray operators.
URL: https://github.com/apache/incubator-mxnet/pull/7577#discussion_r135320555
##
File path: src/operator/elemwise_op_common.h
##
@@ -156,11 +157,38 @
reminisce commented on a change in pull request #7613: 1x1 convolution
acceleration
URL: https://github.com/apache/incubator-mxnet/pull/7613#discussion_r135322020
##
File path: src/operator/convolution-inl.h
##
@@ -212,12 +216,41 @@ class ConvolutionOp : public Operator {
cjolivier01 commented on a change in pull request #7577: Sparse operators for
unary and binary elemwise NDArray operators.
URL: https://github.com/apache/incubator-mxnet/pull/7577#discussion_r135323098
##
File path: src/operator/tensor/elemwise_binary_op.h
##
@@ -400,6 +81
eric-haibin-lin commented on a change in pull request #7604: Refactor random
linalg contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135326295
##
File path: python/mxnet/gluon/rnn/rnn_layer.py
##
@@ -301,11 +301,11 @@ class RNN(_RNNLa
rahul003 commented on issue #7597: fix for amalgamation build with MIN=1
URL: https://github.com/apache/incubator-mxnet/pull/7597#issuecomment-324978224
Looks like this issue hasn't been fixed yet.
https://builds.apache.org/blue/organizations/jenkins/incubator-mxnet/detail/master/243/pi
reminisce commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135330225
##
File path: python/mxnet/gluon/rnn/rnn_layer.py
##
@@ -301,11 +301,11 @@ class RNN(_RNNLayer):
zhreshold commented on issue #7615: accuracy sacrificed with multi-gpu using
gluon
URL:
https://github.com/apache/incubator-mxnet/issues/7615#issuecomment-325009783
@GarrickLin So you manually modified the batchsize right?
rnunziata commented on issue #7608: OSError: libcudart.so.8.0: cannot open
shared object
URL:
https://github.com/apache/incubator-mxnet/issues/7608#issuecomment-325017453
Thanks this seems to have workedthanks so much..:-)
rnunziata closed issue #7608: OSError: libcudart.so.8.0: cannot open shared
object
URL: https://github.com/apache/incubator-mxnet/issues/7608
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cjolivier01 commented on issue #6482: Use GNUInstallDirs and improve CMake
handling of shared/static mxnet library.
URL: https://github.com/apache/incubator-mxnet/pull/6482#issuecomment-325028206
I am ok once build works.
Th
eric-haibin-lin commented on a change in pull request #7604: Refactor random
linalg contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135329041
##
File path: python/mxnet/ndarray/sparse.py
##
@@ -41,6 +41,8 @@
from . import _internal
CodingCat commented on issue #7574: [build] explicitly install JDK8
URL: https://github.com/apache/incubator-mxnet/pull/7574#issuecomment-325030988
ok, scala test passed, though python one failed (which is always flaky?)
shall we merge this, or we should move forward with Ubuntu 16.04
shujonnaha opened a new pull request #7620: shujon
URL: https://github.com/apache/incubator-mxnet/pull/7620
Adversarial Variational AutoEncoder implementation
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shujonnaha opened a new pull request #7621: Adversarial VAE
URL: https://github.com/apache/incubator-mxnet/pull/7621
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shujonnaha closed pull request #7620: shujon
URL: https://github.com/apache/incubator-mxnet/pull/7620
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kevinthesun opened a new pull request #7622: Change apache package URL to https
URL: https://github.com/apache/incubator-mxnet/pull/7622
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zhanghang1989 commented on issue #7579: style transfer example
URL: https://github.com/apache/incubator-mxnet/pull/7579#issuecomment-325035839
I have sent a PR to web-data with the images
https://github.com/dmlc/web-data/pull/26
I will update the image paths after it is merged.
---
reminisce commented on a change in pull request #7584: convenience fluent
methods for sym/nd
URL: https://github.com/apache/incubator-mxnet/pull/7584#discussion_r135354076
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -673,6 +686,100 @@ def reshape(self, shape):
reminisce commented on a change in pull request #7584: convenience fluent
methods for sym/nd
URL: https://github.com/apache/incubator-mxnet/pull/7584#discussion_r135354752
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -673,6 +686,100 @@ def reshape(self, shape):
szha commented on a change in pull request #7584: convenience fluent methods
for sym/nd
URL: https://github.com/apache/incubator-mxnet/pull/7584#discussion_r135357518
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -673,6 +686,100 @@ def reshape(self, shape):
szha commented on a change in pull request #7584: convenience fluent methods
for sym/nd
URL: https://github.com/apache/incubator-mxnet/pull/7584#discussion_r135357642
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -673,6 +686,100 @@ def reshape(self, shape):
kevinthesun opened a new pull request #16: Build 0.11 RC3 and show gluon
URL: https://github.com/apache/incubator-mxnet-site/pull/16
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kevinthesun closed pull request #14: Add back autograd and add mkl
URL: https://github.com/apache/incubator-mxnet-site/pull/14
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eric-haibin-lin opened a new pull request #7623: add unit test for csv iter
URL: https://github.com/apache/incubator-mxnet/pull/7623
- Add the missing unit test for csv iterator.
- Found memory for `inst_index` was allocated with `new[]` but freed with
`delete` which may cause undefined
aksnzhy commented on issue #7512: Add two bit compression operator
URL: https://github.com/apache/incubator-mxnet/pull/7512#issuecomment-325052880
@piiswrong I'm considering add a new feature in gluon to make user use the
low-bit compression more easily.
-
reminisce commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135369291
##
File path: python/mxnet/ndarray/sparse.py
##
@@ -41,6 +41,8 @@
from . import _internal
from
cjolivier01 closed pull request #16: Build 0.11 RC3 and show gluon
URL: https://github.com/apache/incubator-mxnet-site/pull/16
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aksnzhy commented on issue #7512: Add two bit compression operator
URL: https://github.com/apache/incubator-mxnet/pull/7512#issuecomment-325052880
@piiswrong I'm considering add a new feature in gluon to make user use the
low-bit compression more easily. Maybe it's a new argument in gluon
aksnzhy commented on issue #7512: Add two bit compression operator
URL: https://github.com/apache/incubator-mxnet/pull/7512#issuecomment-325052880
@piiswrong I'm considering add a new feature in gluon to make user use the
low-bit compression more easily. Maybe it's a new argument in gluon
pracheer opened a new pull request #7624: Pip installer for CoreML Converter:
mxnet-to-coreml
URL: https://github.com/apache/incubator-mxnet/pull/7624
The new way to install the converter:
> pip install mxnet-to-coreml
Current version is 0.1.0 and runs only on MacOS and python
cjolivier01 commented on issue #7577: Sparse operators for unary and binary
elemwise NDArray operators.
URL: https://github.com/apache/incubator-mxnet/pull/7577#issuecomment-325055107
msvc is running out of heap space...
Thi
DickJC123 opened a new pull request #7625: entire codebase build with
mshadow_use_clas=0
URL: https://github.com/apache/incubator-mxnet/pull/7625
The following file is the result of solving build issues for the entire
codebase that arise after setting MSHADOW_USE_CBLAS=0 in
mshadow/make/m
zhreshold opened a new pull request #7626: modify gluon image_classification
for imagenet
URL: https://github.com/apache/incubator-mxnet/pull/7626
make gluon example able to train imagenet
improve symbolic
add std option to recordio_2.cc/recordio.cc
-
SherlockLiao commented on issue #7593: why gluon is slower than PyTorch?
URL:
https://github.com/apache/incubator-mxnet/issues/7593#issuecomment-325069675
@zhreshold just one gpu. It's a simple model, 2 convolution layer, 2 max
pooling, 3 dense layer to do mnist classification. I write a s
GarrickLin commented on issue #7615: accuracy sacrificed with multi-gpu using
gluon
URL:
https://github.com/apache/incubator-mxnet/issues/7615#issuecomment-325069741
yes
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zhreshold commented on issue #7615: accuracy sacrificed with multi-gpu using
gluon
URL:
https://github.com/apache/incubator-mxnet/issues/7615#issuecomment-325070178
Try to reduce the batch-size, since there's a hidden mini-batch in the
algorithm itself.
anirudh2290 opened a new pull request #7627: Change namespace and make logging
functionality changes
URL: https://github.com/apache/incubator-mxnet/pull/7627
Namespace changes according to
https://github.com/eric-haibin-lin/mxnet/pull/177#issuecomment-324176627 and
logging changes for sp
rahul003 opened a new pull request #7628: set build status to success only
after job ends
URL: https://github.com/apache/incubator-mxnet/pull/7628
Earlier code marks status as success initially. So any new PR shows jenkins
status as success if we see the check mark on github. On opening th
rahul003 opened a new pull request #7629: Fix build status of a image
classification test
URL: https://github.com/apache/incubator-mxnet/pull/7629
On a nightly build of this test, the final build status is shown as false.
Example failed build is
[here](http://jenkins-master-elb-1979848568
GarrickLin commented on issue #7615: accuracy sacrificed with multi-gpu using
gluon
URL:
https://github.com/apache/incubator-mxnet/issues/7615#issuecomment-325079230
I get the proper result after set batch_size back to 32, but the speed is
obviously slowing down even worse than single-gpu
piiswrong closed pull request #7628: set build status to success only after job
ends
URL: https://github.com/apache/incubator-mxnet/pull/7628
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piiswrong closed pull request #7629: Fix build status of a image classification
test
URL: https://github.com/apache/incubator-mxnet/pull/7629
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new c42453d Fix build status of a test (#762
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