szha commented on issue #7957: add densenet
URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-330732609
@qingzhouzhen thanks for the contribution. I also made a gluon version that
can be found
qingzhouzhen commented on issue #7957: add densenet
URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-330733686
do you suggest me to close this PR?
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qingzhouzhen commented on issue #7957: add densenet
URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-330733686
do you suggest me to close this PR? @szha
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FrancisTse8 commented on issue #7852: Trouble installing MXNet on Raspberry Pi 3
URL:
https://github.com/apache/incubator-mxnet/issues/7852#issuecomment-330656399
Thanks @larroy. Seems so obvious once you pointed that out. I was just
following the instructions blindly. I redo the commands
zheng-da opened a new pull request #7948: Use nn interface for the activation
operator.
URL: https://github.com/apache/incubator-mxnet/pull/7948
This commit only contains the basic implementation of the activation
operator. It has been tested on CPU and GPU. But it doesn't contain the
solin319 commented on issue #7928: Cannot reproduce the results of faster-rcnn
URL:
https://github.com/apache/incubator-mxnet/issues/7928#issuecomment-330735101
I got mAP 0.69 ,too.
Why all the gamma and beta were fixed in config?
Why "use_global_stats" in "symbol_resnet.py" was
pengwangucla opened a new issue #7956: simple_bind error when using rotation
matrix & batch_dot
URL: https://github.com/apache/incubator-mxnet/issues/7956
I met simple_bind fatal error
[19:24:05] src/core/graph.cc:50: Check failed: it != node2index_.end()
&& it->first == nptr.get()
piiswrong commented on issue #7698: Second order gradient and Subgraph execution
URL: https://github.com/apache/incubator-mxnet/pull/7698#issuecomment-330701652
@jermainewang Once the column store is merged you can refactor this by
putting the attributes in the column store instead of
mikerossgithub opened a new pull request #7949: account for batch padding in
when updating metrics
URL: https://github.com/apache/incubator-mxnet/pull/7949
Fixes executor_group.update_metric() to take account of batch padding. If a
batch has padding only the non padded data is used to
thinksanky opened a new pull request #7950: Changed How To String to FAQ and
added Discuss Tab to the Navigation bar
URL: https://github.com/apache/incubator-mxnet/pull/7950
- Provide a Discuss Navigation tabbed link on the top navigation bar.
- Changed How To to FAQ.
piiswrong closed pull request #7940: Update README.md
URL: https://github.com/apache/incubator-mxnet/pull/7940
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kevinthesun commented on issue #7950: Changed How To String to FAQ and added
Discuss Tab to the Navigation bar
URL: https://github.com/apache/incubator-mxnet/pull/7950#issuecomment-330703094
Modify navbar also requires changes in
piiswrong closed pull request #7815: [Perl] reduce buffer copies in
NDArray<->PDL conversions
URL: https://github.com/apache/incubator-mxnet/pull/7815
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SumNeuron closed issue #7900: Request: finish python gpu enabled guide for
install
URL: https://github.com/apache/incubator-mxnet/issues/7900
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SumNeuron commented on issue #7900: Request: finish python gpu enabled guide
for install
URL:
https://github.com/apache/incubator-mxnet/issues/7900#issuecomment-330477727
after running python3 setup.py develop --user things seem to work
SumNeuron commented on issue #1281: how to prepare data for mxnet.io.NDArrayIter
URL:
https://github.com/apache/incubator-mxnet/issues/1281#issuecomment-330478164
I also am confused about prepping data for MXNet (although this is more
general)
Even the method you
formath opened a new pull request #7942: Adam optimizer consistent with paper
URL: https://github.com/apache/incubator-mxnet/pull/7942
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piiswrong commented on a change in pull request #7948: Use nn interface for the
activation operator.
URL: https://github.com/apache/incubator-mxnet/pull/7948#discussion_r139807406
##
File path: src/operator/nn/activation.cu
##
@@ -0,0 +1,38 @@
+/*
+ * Licensed to the
piiswrong commented on a change in pull request #7948: Use nn interface for the
activation operator.
URL: https://github.com/apache/incubator-mxnet/pull/7948#discussion_r139806813
##
File path: src/operator/nn/activation.cu
##
@@ -0,0 +1,38 @@
+/*
+ * Licensed to the
piiswrong commented on a change in pull request #7948: Use nn interface for the
activation operator.
URL: https://github.com/apache/incubator-mxnet/pull/7948#discussion_r139806385
##
File path: src/operator/nn/activation-inl.h
##
@@ -0,0 +1,172 @@
+/*
+ * Licensed to the
piiswrong commented on a change in pull request #7948: Use nn interface for the
activation operator.
URL: https://github.com/apache/incubator-mxnet/pull/7948#discussion_r139807758
##
File path: tests/python/unittest/test_operator.py
##
@@ -414,6 +414,38 @@ def
Prasad9 commented on issue #7925: Resize image to fixed size
URL:
https://github.com/apache/incubator-mxnet/issues/7925#issuecomment-330486842
Thanks @ZiyueHuang and @jiarenyf . Figured it out how to use it with
ImageIter. But for the particular usecase I wanted, Augmenter with ImageIter
Prasad9 closed issue #7925: Resize image to fixed size
URL: https://github.com/apache/incubator-mxnet/issues/7925
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KeyKy commented on issue #7899: Need help: numpy array to mxnet ndarray is too
slow.
URL:
https://github.com/apache/incubator-mxnet/issues/7899#issuecomment-330502892
image_data is (128, 3, 224, 224) label_data is (128,)
it needs to load batch of data before doing net forward.
KeyKy commented on issue #7899: Need help: numpy array to mxnet ndarray is too
slow.
URL:
https://github.com/apache/incubator-mxnet/issues/7899#issuecomment-330502892
image_data is (128, 3, 224, 224) label_data is (128,)
it needs to load batch of data before doing net training. Forward
KeyKy commented on issue #7899: Need help: numpy array to mxnet ndarray is too
slow.
URL:
https://github.com/apache/incubator-mxnet/issues/7899#issuecomment-330502892
image_data is (128, 3, 224, 224) label_data is (128,)
Because it needs to load batch of data before doing net forward.
KeyKy commented on issue #7899: Need help: numpy array to mxnet ndarray is too
slow.
URL:
https://github.com/apache/incubator-mxnet/issues/7899#issuecomment-330502892
image_data is (128, 3, 224, 224) label_data is (128,)
it needs to load batch of data before doing net training. Forward
formath commented on issue #7934: Bug of group2ctx? Wrong device placement?
URL:
https://github.com/apache/incubator-mxnet/issues/7934#issuecomment-330742175
During `PlaceDevice`, if an `op` can't be assigned a device id, its device
id will be set `0`. And to assign a default context is
jeremiedb commented on issue #7951: Issues with the Regression example in MXNet
R package tutorial
URL:
https://github.com/apache/incubator-mxnet/issues/7951#issuecomment-330744391
You can notice the difference in the resulting models by looking at their
graph representation:
```
formath closed pull request #7932: executor not expose its inner variables to
symbol
URL: https://github.com/apache/incubator-mxnet/pull/7932
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formath commented on issue #7942: Adam optimizer consistent with paper
URL: https://github.com/apache/incubator-mxnet/pull/7942#issuecomment-330748814
@sergeykolychev Have been merged.
@piiswrong
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zjost opened a new issue #7960: Dropout layer crashes jupyter kernel
URL: https://github.com/apache/incubator-mxnet/issues/7960
For bugs or installation issues, please provide the following information.
The more information you provide, the more likely people will be able to
help you.
formath opened a new pull request #7959: executor not expose its inner
variables to symbol
URL: https://github.com/apache/incubator-mxnet/pull/7959
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x1year commented on issue #7934: Bug of group2ctx? Wrong device placement?
URL:
https://github.com/apache/incubator-mxnet/issues/7934#issuecomment-330746889
@formath What do you mean by "if an op can't be assigned a device id"? How
op's device id is assigned?
formath commented on issue #7934: Bug of group2ctx? Wrong device placement?
URL:
https://github.com/apache/incubator-mxnet/issues/7934#issuecomment-330749338
Depends on the device id of its first control node or input node. Your op
may not assigned by this.
szha commented on issue #7960: Dropout layer crashes jupyter kernel
URL:
https://github.com/apache/incubator-mxnet/issues/7960#issuecomment-330751674
Please paste the full error message, including stack trace.
This is an
hhyasdf closed issue #7924: get stuck training on multiple machines error
URL: https://github.com/apache/incubator-mxnet/issues/7924
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chaitanyabjoshi commented on issue #5147: Correct array shape() for mx.lstm
URL:
https://github.com/apache/incubator-mxnet/issues/5147#issuecomment-330542596
This issue should not be closed as documentation (even in version 0.11) is
not fixed and is so cryptic that no meaning can be made
SumNeuron opened a new issue #7943: Request: Visualization for Gluon neural
networks
URL: https://github.com/apache/incubator-mxnet/issues/7943
[Here](https://mxnet.incubator.apache.org/how_to/visualize_graph.html) shows
how to visualize mx.Symbol networks.
cjolivier01 commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139756939
##
File path: python/mxnet/optimizer.py
##
@@ -665,26 +667,46 @@ class
cjolivier01 commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139756939
##
File path: python/mxnet/optimizer.py
##
@@ -665,26 +667,46 @@ class
Bumblebee1964 commented on issue #7835: C++ batchnorm CPU version training
well, but validation wrong
URL:
https://github.com/apache/incubator-mxnet/issues/7835#issuecomment-330607688
Having same problem. Noticed that the Mathematica version 11.2 (using MxNet
under the hood) is not able
eric-haibin-lin commented on issue #7935: Zeroes CSR still needs a valid
row_pointer array.
URL: https://github.com/apache/incubator-mxnet/pull/7935#issuecomment-330608771
I agree that we should return a CSR array with valid indptr array for that
zeros() function. Should we also update
Bumblebee1964 opened a new issue #7945: Has anyone a guide for installing MxNet
with Python on Windows 10 / VS2017 toolset (including Anaconda2)?
URL: https://github.com/apache/incubator-mxnet/issues/7945
For bugs or installation issues, please provide the following information.
The
sergeykolychev commented on issue #7942: Adam optimizer consistent with paper
URL: https://github.com/apache/incubator-mxnet/pull/7942#issuecomment-330611582
@formath please see https://github.com/formath/mxnet/pull/1
This
eric-haibin-lin commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139760961
##
File path: tests/python/unittest/test_module.py
##
@@ -462,74 +462,105 @@
eric-haibin-lin commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139760826
##
File path: tests/python/unittest/test_module.py
##
@@ -462,74 +462,105 @@
eric-haibin-lin commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139759839
##
File path: python/mxnet/optimizer.py
##
@@ -664,27 +667,45 @@ class
eric-haibin-lin commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139760494
##
File path: tests/python/unittest/test_sparse_operator.py
##
@@ -697,6
eric-haibin-lin commented on issue #7893: Add barriers in kvstore init
URL: https://github.com/apache/incubator-mxnet/pull/7893#issuecomment-330613450
Are you using multi-machine with GPUs? I'm not getting the setup here. Could
you post a code snippet for others to reproduce?
chaitanyabjoshi commented on issue #7524: Is there a tutorial of using mxnet R
LSTM for time series forecasting?
URL:
https://github.com/apache/incubator-mxnet/issues/7524#issuecomment-330571650
Unfortunately, poor documentation of mxnetR library is causing a lot of
trouble to many
kli-nlpr opened a new pull request #7944: Update softmax_output.cc
URL: https://github.com/apache/incubator-mxnet/pull/7944
I think that 'Computes the gradient of cross entropy loss with respect to
softmax output' is confusing.
So I change it to
'Computes the gradient of cross
cjolivier01 commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139724976
##
File path: python/mxnet/optimizer.py
##
@@ -670,21 +672,37 @@ def __init__(self,
cjolivier01 commented on issue #7903: Refactor AdaGrad optimizer to support
sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#issuecomment-330574013
different/more selective scatter behavior can be done in a different PR. I
don't have the bandwidth for that now.
eric-haibin-lin opened a new pull request #7947: [WIP] Refactor infer storage
function for sparse operators.
URL: https://github.com/apache/incubator-mxnet/pull/7947
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eric-haibin-lin commented on a change in pull request #7893: Add barriers in
kvstore init
URL: https://github.com/apache/incubator-mxnet/pull/7893#discussion_r139763399
##
File path: src/kvstore/kvstore_dist.h
##
@@ -144,9 +144,9 @@ class KVStoreDist : public KVStoreLocal
cjolivier01 commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139765735
##
File path: tests/python/unittest/test_module.py
##
@@ -462,74 +462,105 @@ def
SumNeuron opened a new issue #7946: Defining Residual Convolution Structures in
Block from gluon Module
URL: https://github.com/apache/incubator-mxnet/issues/7946
Please see this [S.O.
piiswrong commented on a change in pull request #7892: allow users to specify
repo url for downloadable contents
URL: https://github.com/apache/incubator-mxnet/pull/7892#discussion_r139767382
##
File path: python/mxnet/gluon/model_zoo/vision/alexnet.py
##
@@ -76,9 +77,13
eric-haibin-lin commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139767993
##
File path: tests/python/unittest/test_module.py
##
@@ -462,74 +462,105 @@
Bumblebee1964 closed issue #7865: How to load params with LoadToMap c++ api and
set device contect to GPU?
URL: https://github.com/apache/incubator-mxnet/issues/7865
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Bumblebee1964 commented on issue #7865: How to load params with LoadToMap c++
api and set device contect to GPU?
URL:
https://github.com/apache/incubator-mxnet/issues/7865#issuecomment-330632889
Found following solution (maybe not very efficient):
```
m_params_map =
rahul003 closed pull request #7896: fix batchnorm test failure
URL: https://github.com/apache/incubator-mxnet/pull/7896
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Harold-Zhang opened a new issue #7958: Engine shutdown
URL: https://github.com/apache/incubator-mxnet/issues/7958
## Environment info
Operating System:
Ubuntu 14.04
Compiler:
gcc 4.8.4
Package used (Python/R/Scala/Julia):
Python 2.7
MXNet version:
The latest version
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