regzhuce commented on issue #7375: Can I set instance weight when training?
URL:
https://github.com/apache/incubator-mxnet/issues/7375#issuecomment-320857766
It's so strange when predicting, I have to feed a constant weight to the
model, and get a loss value but the prediction value.
joey2014 commented on issue #7368: Caffe converter test fails, causing CI to
halt for all PRs
URL:
https://github.com/apache/incubator-mxnet/issues/7368#issuecomment-320829996
vgg-16 model converting issue is caused by
\ -model = mx.mod.Module(symbol=sym,
mli commented on issue #7367: Code freeze - halt code merges
URL:
https://github.com/apache/incubator-mxnet/issues/7367#issuecomment-320853676
#7379
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mli opened a new pull request #7379: Add license header
URL: https://github.com/apache/incubator-mxnet/pull/7379
Added ASF license header to all files except for
- submodules
- R-package (not apache2)
- src/operator/mkl/ (licensed to intel)
- src/operator/contrib/ctc_include/
lx75249 commented on issue #6420: Fix symbol load json
URL: https://github.com/apache/incubator-mxnet/pull/6420#issuecomment-320848358
@piiswrong Yes, this patch solves that bug.
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eric-haibin-lin commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131818493
##
File path: src/operator/tensor/dot-inl.cuh
##
@@ -353,27 +640,308 @@ inline void
eric-haibin-lin commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131818612
##
File path: src/operator/tensor/dot-inl.h
##
@@ -187,8 +187,8 @@ inline bool
eric-haibin-lin commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131816817
##
File path: src/operator/tensor/dot-inl.cuh
##
@@ -9,66 +9,163 @@
#include
#include
+#include
tornadomeet commented on issue #7374: fix consistency of cpu/gpu in stn
URL: https://github.com/apache/incubator-mxnet/pull/7374#issuecomment-320846282
ok, i'll add it today or tomorrow.
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yash1 opened a new pull request #7378: Docs for GAN
URL: https://github.com/apache/incubator-mxnet/pull/7378
Based on the notebook I made here:
https://github.com/dmlc/mxnet-notebooks/pull/59
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rahul003 commented on issue #7321: fixes broken compilation by including
tensor_blob
URL: https://github.com/apache/incubator-mxnet/pull/7321#issuecomment-320741353
@piiswrong So what needs to be done to ensure mxnet compiles fine?
rahul003 commented on a change in pull request #7321: fixes broken compilation
by including tensor_blob
URL: https://github.com/apache/incubator-mxnet/pull/7321#discussion_r131816230
##
File path: src/io/inst_vector.h
##
@@ -12,6 +12,7 @@
#include
#include
#include
reminisce commented on a change in pull request #7321: fixes broken compilation
by including tensor_blob
URL: https://github.com/apache/incubator-mxnet/pull/7321#discussion_r131816017
##
File path: src/io/inst_vector.h
##
@@ -12,6 +12,7 @@
#include
#include
#include
jeremiedb commented on issue #7375: Can I set instance weight when training?
URL:
https://github.com/apache/incubator-mxnet/issues/7375#issuecomment-320843077
The strategy I've used is to build a custom loss function using the MakeLoss
operator and feeding it with the weights, For
zhanghang1989 opened a new issue #7377: gluon.nn.Conv2D initialization int
stride not handled correctly
URL: https://github.com/apache/incubator-mxnet/issues/7377
When creating 'gluon.nn.Conv2D', passing the stride with integer value, it
does not automatically convert to tuple and cause
Lyken17 opened a new issue #7376: MXbox -- a simple and flexible vision toolbox
for mxnet framework.
URL: https://github.com/apache/incubator-mxnet/issues/7376
Thanks for DMLC generous sharing, we can use mxnet -- a great framework
efficient in both memory and speed. However, after using
regzhuce opened a new issue #7375: Can I set instance weight when training?
URL: https://github.com/apache/incubator-mxnet/issues/7375
Is there any way that I can set a weight for every instance when I train the
model?
I just cannot find any doc about this.
thirdwing closed issue #7019: R Character RNN program question
URL: https://github.com/apache/incubator-mxnet/issues/7019
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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 ada6d4e Update custom.cc (#7373)
piiswrong closed pull request #7373: Update custom.cc
URL: https://github.com/apache/incubator-mxnet/pull/7373
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piiswrong commented on issue #7374: fix consistency of cpu/gpu in stn
URL: https://github.com/apache/incubator-mxnet/pull/7374#issuecomment-320834185
why wasn't this captured by test? Could you add a consistency test?
This
joey2014 commented on issue #7368: Caffe converter test fails, causing CI to
halt for all PRs
URL:
https://github.com/apache/incubator-mxnet/issues/7368#issuecomment-320829996
vgg-16 model converting issue is caused by
\ -model = mx.mod.Module(symbol=sym,
Lyken17 closed issue #7355: [API missing] mx.nd.stack & mx.sym.stack
URL: https://github.com/apache/incubator-mxnet/issues/7355
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Lyken17 commented on issue #7355: [API missing] mx.nd.stack & mx.sym.stack
URL:
https://github.com/apache/incubator-mxnet/issues/7355#issuecomment-320830055
Solved.
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zihaolucky commented on issue #7341: Usage of Tensorboard in Distributed MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/7341#issuecomment-320829394
@LakeCarrot There're some discussions on this issue,
jeremiedb commented on issue #7349: time series delay output mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/7349#issuecomment-320822751
If I understand well, your need is similar to a one-to-one RNN structure in
which the first 50 outputs are ignored.
If you're not
szha commented on issue #7362: import mxnet errors
URL:
https://github.com/apache/incubator-mxnet/issues/7362#issuecomment-320820795
pip 1.5.4 is too old, so you might have got a wrong version of mxnet.
This is an automated
eric-haibin-lin commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131786617
##
File path: benchmark/python/dot.py
##
@@ -0,0 +1,265 @@
+import ctypes
+
+from mxnet.test_utils
tornadomeet opened a new pull request #7374: fix consistency of cpu/gpu in stn
URL: https://github.com/apache/incubator-mxnet/pull/7374
calc of `cpu` and `gpu` is not consistent before this fix, this fix is ref
to
lxn2 closed pull request #7372: Seed numpy random
URL: https://github.com/apache/incubator-mxnet/pull/7372
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lxn2 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 7e24097 Seed numpy random (#7372)
ysh329 commented on issue #5224: include/dmlc/logging.h:235: [00:59:21]
src/io/local_filesys.cc:154: Check failed: allow_null LocalFileSystem: fail to
open "model/det1-symbol.json"
URL:
https://github.com/apache/incubator-mxnet/issues/5224#issuecomment-320811664
@novioleo Okay, thanks
piiswrong opened a new pull request #7373: Update custom.cc
URL: https://github.com/apache/incubator-mxnet/pull/7373
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szha commented on a change in pull request #7356: decouple record/train and add
state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131777162
##
File path: python/mxnet/autograd.py
##
@@ -112,6 +137,34 @@ def pause(is_train=False):
szha commented on a change in pull request #7356: decouple record/train and add
state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131777162
##
File path: python/mxnet/autograd.py
##
@@ -112,6 +137,34 @@ def pause(is_train=False):
zackchase commented on a change in pull request #7356: decouple record/train
and add state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131773045
##
File path: python/mxnet/autograd.py
##
@@ -112,6 +137,34 @@ def pause(is_train=False):
LakeCarrot commented on issue #7370: Error when trying to build docker image
with GPU and S3 support
URL:
https://github.com/apache/incubator-mxnet/issues/7370#issuecomment-320783278
@piiswrong It can work if I only make the dmlc-core library. I wonder how
can I install S3 library? Does
LakeCarrot commented on issue #7370: Error when trying to build docker image
with GPU and S3 support
URL:
https://github.com/apache/incubator-mxnet/issues/7370#issuecomment-320783278
@piiswrong It can work if I only make the dmlc-core library. I wonder how
can I install S3 library? Does
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lxn2 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 63ae4c9 Small fix for versioning doc
lxn2 closed pull request #7371: Small fix for versioning doc build
URL: https://github.com/apache/incubator-mxnet/pull/7371
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lxn2 pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new e8ff4ab Fix master version
piiswrong commented on issue #7370: Error when trying to build docker image
with GPU and S3 support
URL:
https://github.com/apache/incubator-mxnet/issues/7370#issuecomment-320776310
It's probably because your docker is not configured to have S3 library
installed.
Does it work if
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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 ef383c2 disable vgg-16 resnet converter
piiswrong closed pull request #7369: Revive CI by disabling caffe converter
check temporarily
URL: https://github.com/apache/incubator-mxnet/pull/7369
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LakeCarrot commented on issue #7370: Error when trying to build docker image
with GPU and S3 support
URL:
https://github.com/apache/incubator-mxnet/issues/7370#issuecomment-320753978
The dockerfile file is based on
https://github.com/apache/incubator-mxnet/tree/master/docker
LakeCarrot commented on issue #7370: Error when trying to build docker image
with GPU and S3 support
URL:
https://github.com/apache/incubator-mxnet/issues/7370#issuecomment-320753289
It seems that it because I set the S3 flag on. If I didn't set the S3 flag
and using the exactly the same
szha commented on issue #7369: Revive CI by disabling caffe converter check
temporarily
URL: https://github.com/apache/incubator-mxnet/pull/7369#issuecomment-320769520
@lxn2 per offline discussion, travis should be turned off.
kevinthesun opened a new pull request #7371: Small fix for versioning doc build
URL: https://github.com/apache/incubator-mxnet/pull/7371
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LakeCarrot commented on issue #7370: Error when trying to build docker image
with GPU and S3 support
URL:
https://github.com/apache/incubator-mxnet/issues/7370#issuecomment-320753727
I have also tried cloning the master branch, but got the same error message
zhreshold opened a new pull request #7369: Revive CI by disabling caffe
converter check temporarily
URL: https://github.com/apache/incubator-mxnet/pull/7369
@piiswrong @joey2014
Temporarily disable test check for vgg16 and resnet to let all CI going
until we can fix this.
The
zhreshold opened a new issue #7368: Caffe converter test fails, causing CI to
halt for all PRs
URL: https://github.com/apache/incubator-mxnet/issues/7368
## Steps to reproduce
or if you are running standard examples, please provide the commands you
have run that lead to the error.
LakeCarrot commented on issue #7341: Usage of Tensorboard in Distributed MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/7341#issuecomment-320745838
@zihaolucky Thanks for your reply. I have read through that example. One
thing I want to double check is for now, the
LakeCarrot commented on issue #7341: Usage of Tensorboard in Distributed MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/7341#issuecomment-320745838
@zihaolucky Thanks for your reply. I have read through that example.
LakeCarrot opened a new issue #7341: Usage of Tensorboard in Distributed MXNet
URL: https://github.com/apache/incubator-mxnet/issues/7341
Hi all,
I tried to use Tensorboard to visualize my model training process. In the
single-node training mode, the usage of Tensorboard is
LakeCarrot closed issue #7341: Usage of Tensorboard in Distributed MXNet
URL: https://github.com/apache/incubator-mxnet/issues/7341
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rahul003 commented on issue #7321: fixes broken compilation by including
tensor_blob
URL: https://github.com/apache/incubator-mxnet/pull/7321#issuecomment-320741353
@piiswrong So what needs to be done to ensure mxnet compiles fine?
Alternative suggestion?
rahul003 commented on issue #7321: fixes broken compilation by including
tensor_blob
URL: https://github.com/apache/incubator-mxnet/pull/7321#issuecomment-320741353
@piiswrong So what needs to be done to ensure mxnet compiles fine?
szha commented on a change in pull request #7304: gluon bce & ctc losses
URL: https://github.com/apache/incubator-mxnet/pull/7304#discussion_r131727657
##
File path: python/mxnet/gluon/loss.py
##
@@ -142,6 +144,46 @@ def hybrid_forward(self, F, output, label,
thirdwing commented on issue #7219: [R] How to include a minimum function in
MakeLoss
URL:
https://github.com/apache/incubator-mxnet/issues/7219#issuecomment-320731728
@solalm You will be able to use `mx.symbol.min(fc_abs, 1)` if you use the
latest code.
The prebuilt pkg will
piiswrong commented on a change in pull request #7304: gluon bce & ctc losses
URL: https://github.com/apache/incubator-mxnet/pull/7304#discussion_r131714163
##
File path: python/mxnet/gluon/loss.py
##
@@ -239,3 +281,59 @@ def hybrid_forward(self, F, output, label,
piiswrong commented on a change in pull request #7304: gluon bce & ctc losses
URL: https://github.com/apache/incubator-mxnet/pull/7304#discussion_r131713902
##
File path: python/mxnet/gluon/loss.py
##
@@ -239,3 +281,59 @@ def hybrid_forward(self, F, output, label,
piiswrong commented on a change in pull request #7304: gluon bce & ctc losses
URL: https://github.com/apache/incubator-mxnet/pull/7304#discussion_r131713817
##
File path: python/mxnet/gluon/loss.py
##
@@ -239,3 +281,59 @@ def hybrid_forward(self, F, output, label,
thirdwing commented on issue #7364: MxnetR chunk-wise neural nets
URL:
https://github.com/apache/incubator-mxnet/issues/7364#issuecomment-320725815
I think we have a document on similar situations:
piiswrong commented on a change in pull request #7304: gluon bce & ctc losses
URL: https://github.com/apache/incubator-mxnet/pull/7304#discussion_r131712363
##
File path: python/mxnet/gluon/loss.py
##
@@ -142,6 +144,46 @@ def hybrid_forward(self, F, output, label,
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madjam 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 c198572 Fix data tutorial (#7329)
madjam closed pull request #7329: Fix data tutorial
URL: https://github.com/apache/incubator-mxnet/pull/7329
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idealboy commented on issue #7366: About distribute trainning, How can I set
different gpu device id on different worker?
URL:
https://github.com/apache/incubator-mxnet/issues/7366#issuecomment-320712976
when I use the tools launch.py to trainning on multi-gpus in different
machines, How
zihaolucky commented on issue #7363: Add tensorboard configure into
./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#issuecomment-320658706
@piiswrong Could you give some suggestions?
dma100180 closed issue #7336: io.cc:54: Data and label shape in-consistent
URL: https://github.com/apache/incubator-mxnet/issues/7336
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dma100180 commented on issue #7336: io.cc:54: Data and label shape in-consistent
URL:
https://github.com/apache/incubator-mxnet/issues/7336#issuecomment-320658453
Hello, yes, that was the problem, I changed it and I can continue!
Thank you very much for your help, regards
ysh329 opened a new pull request #7363: Add tensorboard configure into
./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363
Some users, including me, are confused about tensorboard usage, which after
making tensorboard enable, it only draws
ysh329 commented on a change in pull request #7363: Add tensorboard configure
into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131638833
##
File path: example/image-classification/train_mnist.py
##
@@ -75,5
ysh329 commented on a change in pull request #7363: Add tensorboard configure
into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131638833
##
File path: example/image-classification/train_mnist.py
##
@@ -75,5
zihaolucky commented on a change in pull request #7363: Add tensorboard
configure into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131634523
##
File path: example/image-classification/train_mnist.py
##
@@ -75,5
ysh329 commented on a change in pull request #7363: Add tensorboard configure
into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131634218
##
File path: example/image-classification/train_mnist.py
##
@@ -75,5
ysh329 closed pull request #7363: Add tensorboard configure into
./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363
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zihaolucky commented on issue #7363: Add tensorboard configure into
./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#issuecomment-320642110
I'm going to upload the package to another PyPI this week, might consider
using `tensorboard-lite`.
zihaolucky commented on a change in pull request #7363: Add tensorboard
configure into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131629755
##
File path: example/image-classification/common/fit.py
##
@@
zihaolucky commented on a change in pull request #7363: Add tensorboard
configure into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131632018
##
File path: example/image-classification/train_mnist.py
##
@@ -75,5
zihaolucky commented on issue #7363: Add tensorboard configure into
./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#issuecomment-320637764
I think the TensorBoard related code is correct, but we have to make this
example more consistent and
zihaolucky commented on a change in pull request #7363: Add tensorboard
configure into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131629755
##
File path: example/image-classification/common/fit.py
##
@@
zihaolucky commented on a change in pull request #7363: Add tensorboard
configure into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131629394
##
File path: example/image-classification/common/fit.py
##
@@
zihaolucky commented on a change in pull request #7363: Add tensorboard
configure into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131629394
##
File path: example/image-classification/common/fit.py
##
@@
alues closed pull request #7309: Update Install script
URL: https://github.com/apache/incubator-mxnet/pull/7309
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train-test-laura opened a new issue #7364: MxnetR chunk-wise neural nets
URL: https://github.com/apache/incubator-mxnet/issues/7364
Dear all,
I just now started using the mxnet R package in Windows.
I have a pretty big dataset which I need to process in chunks due to memory
ysh329 opened a new pull request #7363: Add tensorboard configure into
./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363
Some users, including me, are confused about tensorboard usage, which after
making tensorboard enable, it only draws
tianhaijie closed issue #7360: I checkout to MXNet@(commit 62ecb60),then
compile mxnet error,but when i dont checkout to MXNet@(commit 62ecb60),compile
successfully!!
URL: https://github.com/apache/incubator-mxnet/issues/7360
tianhaijie commented on issue #7360: I checkout to MXNet@(commit 62ecb60),then
compile mxnet error,but when i dont checkout to MXNet@(commit 62ecb60),compile
successfully!!
URL:
https://github.com/apache/incubator-mxnet/issues/7360#issuecomment-320594567
@edmBernard Yeah,it's help for
solalm commented on issue #7219: [R] How to include a minimum function in
MakeLoss
URL:
https://github.com/apache/incubator-mxnet/issues/7219#issuecomment-320593072
Thank you!
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edmBernard commented on issue #7360: I checkout to MXNet@(commit 62ecb60),then
compile mxnet error,but when i dont checkout to MXNet@(commit 62ecb60),compile
successfully!!
URL:
https://github.com/apache/incubator-mxnet/issues/7360#issuecomment-320592697
Mxnet change Cub repository from
tianhaijie commented on issue #7360: I checkout to MXNet@(commit 62ecb60),then
compile mxnet error,but when i dont checkout to MXNet@(commit 62ecb60),compile
successfully!!
URL:
https://github.com/apache/incubator-mxnet/issues/7360#issuecomment-320589753
@edmBernard Thank you for your
stmatengss opened a new issue #7362: import mxnet errors
URL: https://github.com/apache/incubator-mxnet/issues/7362
## Description
If I use pip(which is provided by OS, is not the version through get-pip.py
script) to install mxnet, there are some errors occur when I run "import mxnet
edmBernard commented on issue #7360: I checkout to MXNet@(commit 62ecb60),then
compile mxnet error,but when i dont checkout to MXNet@(commit 62ecb60),compile
successfully!!
URL:
https://github.com/apache/incubator-mxnet/issues/7360#issuecomment-320586804
yeah try the method in this issue
tianhaijie commented on issue #7360: I checkout to MXNet@(commit 62ecb60),then
compile mxnet error,but when i dont checkout to MXNet@(commit 62ecb60),compile
successfully!!
URL:
https://github.com/apache/incubator-mxnet/issues/7360#issuecomment-320584501
Hi, @edmBernard Actually,when i
jeremiedb opened a new issue #5488: [WIP] RNN with bucketing and mask - R
package
URL: https://github.com/apache/incubator-mxnet/issues/5488
Since there wasn't an API yet for bucketing and masking in the R-package, I
started building some functionnalities to address this. Inference from
szha commented on issue #7358: fix build
URL: https://github.com/apache/incubator-mxnet/pull/7358#issuecomment-320580751
I wasn't able to figure out the caffe converter error yet. It succeeds for
the googlenet but fails for vgg16 and resnet50.
This is an automated email from the ASF dual-hosted git repository.
jxie pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from b0c8c6c [Perl] Fix for CI (#7343)
add 2f257e8 fix build (#7358)
No new revisions were added by this
piiswrong commented on a change in pull request #7356: decouple record/train
and add state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131579066
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File path: python/mxnet/autograd.py
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@@ -54,26 +76,28 @@ class
piiswrong commented on a change in pull request #7356: decouple record/train
and add state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131579089
##
File path: python/mxnet/autograd.py
##
@@ -45,6 +45,28 @@ def set_training(is_train):
piiswrong commented on a change in pull request #7356: decouple record/train
and add state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131579043
##
File path: python/mxnet/autograd.py
##
@@ -112,6 +137,34 @@ def pause(is_train=False):
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