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new e0df199 Update LICENSE (#10370)
e0df199
piiswrong closed pull request #10370: [MXNET-16] Update LICENSE for nnvm-fusion
path
URL: https://github.com/apache/incubator-mxnet/pull/10370
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ThomasDelteil opened a new pull request #10372: Adding CNN-character level
example notebook
URL: https://github.com/apache/incubator-mxnet/pull/10372
adding an example to the example list
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piiswrong commented on a change in pull request #10315: [MXNET-249] Add inplace
support to mkldnn sum
URL: https://github.com/apache/incubator-mxnet/pull/10315#discussion_r178621496
##
File path: src/operator/nn/mkldnn/mkldnn_sum.cc
##
@@ -49,23 +49,42 @@ void Sum(const
piiswrong closed pull request #10336: Fix MKLDNN sigmoid/softrelu issue
URL: https://github.com/apache/incubator-mxnet/pull/10336
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new e0df25c Fix MKLDNN sigmoid/softrelu
cgraywang commented on issue #10363: Fix windows setup doc using VS 2017
URL: https://github.com/apache/incubator-mxnet/pull/10363#issuecomment-378009760
@piiswrong Put 2017 as option 1, and add one more detail about setting up
the vs 2017 version suggested by @yajiedesign .
indhub commented on issue #9733: BUG in MultiBoxTargetForward when there is
single box label
URL:
https://github.com/apache/incubator-mxnet/issues/9733#issuecomment-378007151
@zhreshold Thoughts?
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piiswrong commented on issue #10345: allow block setattr to reset the prefix
when setting new block
URL: https://github.com/apache/incubator-mxnet/pull/10345#issuecomment-378005952
We should raise a warning when assign blocks with non-matching prefix.
In python copy on assignment only
anirudhacharya commented on issue #9358: Why does running 1 round of an MXNET
model training produce Train-mse=NaN?
URL:
https://github.com/apache/incubator-mxnet/issues/9358#issuecomment-378004852
@alexmosc can you verify the bug fix and close the issue accordingly.
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new b37b3f5 Replace std::swap_ranges with
piiswrong closed pull request #10351: [MXNET-259] Performance improvement of
random.shuffle
URL: https://github.com/apache/incubator-mxnet/pull/10351
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piiswrong commented on a change in pull request #10360: extend ndarray in-place
reshape
URL: https://github.com/apache/incubator-mxnet/pull/10360#discussion_r178609880
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -996,10 +994,10 @@ def reshape(self, *shape,
piiswrong commented on a change in pull request #10360: extend ndarray in-place
reshape
URL: https://github.com/apache/incubator-mxnet/pull/10360#discussion_r178609994
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -943,13 +943,8 @@ def reshape(self, *shape,
indhub closed pull request #10039: [MXNET-103] Added tutorial on types of data
augmentations.
URL: https://github.com/apache/incubator-mxnet/pull/10039
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new fe6220b [MXNET-103] Added tutorial on
themummy commented on issue #7792: Multiplatform docker based builds
URL: https://github.com/apache/incubator-mxnet/pull/7792#issuecomment-377996886
Has anyone successfully amalgamated mxnet for Android x86-64? I need to run
mxnet on an Android Emulator on Jenkins.
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new e208f4c Update docs for multiple
piiswrong closed pull request #10362: Update docs for multiple functions
URL: https://github.com/apache/incubator-mxnet/pull/10362
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szha commented on issue #10364: [MXNET-260]remove use_fast_math
URL: https://github.com/apache/incubator-mxnet/pull/10364#issuecomment-377996353
Makefile doesn't have that flag for nvcc compilation lines. It doesn't seem
like the cmake development includes the consistency of compilation
piiswrong commented on issue #10363: Fix windows setup doc using VS 2017
URL: https://github.com/apache/incubator-mxnet/pull/10363#issuecomment-377996125
I think we should put 2017 as option 1
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cjolivier01 commented on a change in pull request #10365: [MXNET-261]Update
MKLDNN & Add CPP Test
URL: https://github.com/apache/incubator-mxnet/pull/10365#discussion_r178606123
##
File path: tests/cpp/operator/mkldnn.cc
##
@@ -77,4 +77,11 @@ TEST(MKLDNN_UTIL_FUNC,
piiswrong commented on issue #10364: [MXNET-260]remove use_fast_math
URL: https://github.com/apache/incubator-mxnet/pull/10364#issuecomment-377995749
Also need to turn it off for Makefile?
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piiswrong commented on issue #10367: [MXNET-262] Implement
mx.random.seed_context to seed random number generators of a specific device
context
URL: https://github.com/apache/incubator-mxnet/pull/10367#issuecomment-377995564
I would add a `ctx=None` argument to seed instead
anirudhacharya commented on issue #10359: Correct way to detect JSON file
contains MXNet model
URL:
https://github.com/apache/incubator-mxnet/issues/10359#issuecomment-377994986
@szha please tag this - "HowTo", "Visualization".
zheng-da commented on issue #10365: [MXNET-261]Update MKLDNN & Add CPP Test
URL: https://github.com/apache/incubator-mxnet/pull/10365#issuecomment-377994182
are you sure this is a MKL problem? it fails in all configurations.
haojin2 opened a new pull request #10371: [MXNET-263] [WIP] Support for
dot(dns, csr) = dns and dot(dns, csr.T) = dns on GPU
URL: https://github.com/apache/incubator-mxnet/pull/10371
## Description ##
Support dot(dns, csr) = dns and dot(dns, csr.T) = dns.
## Checklist ##
###
anirudhacharya commented on issue #10359: Correct way to detect JSON file
contains MXNet model
URL:
https://github.com/apache/incubator-mxnet/issues/10359#issuecomment-377993495
Here is a potential solution to this problem, without having any
restrictions on the filename of the json
eric-haibin-lin commented on issue #9396: inference speed drop after updating
mxnet from 0.10.0 to 1.0.0
URL:
https://github.com/apache/incubator-mxnet/issues/9396#issuecomment-377986916
@DickJC123 gentle ping - any update? Were you able to reproduce the issue?
Just want to check if
haojin2 commented on a change in pull request #10208: [MXNET-117] Sparse
operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#discussion_r178596771
##
File path: python/mxnet/ndarray/sparse.py
##
@@ -1151,6 +1177,284 @@
reminisce commented on issue #10368: asscalar is very slow
URL:
https://github.com/apache/incubator-mxnet/issues/10368#issuecomment-37798
For OOM problem, seems it's caused by always pushing operations to engine
for every mini-batch in an epoch. You need to sync before another
nswamy commented on a change in pull request #10343: [MXNET-116] Optimized
functions with batch input
URL: https://github.com/apache/incubator-mxnet/pull/10343#discussion_r178595028
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/ImageClassifier.scala
nswamy commented on a change in pull request #10343: [MXNET-116] Optimized
functions with batch input
URL: https://github.com/apache/incubator-mxnet/pull/10343#discussion_r178594869
##
File path:
scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/ImageClassifier.scala
reminisce commented on issue #10368: asscalar is very slow
URL:
https://github.com/apache/incubator-mxnet/issues/10368#issuecomment-377982754
This timing does not reflect the correct time spent on training and
`asscalar` respectively. As said before, all the lines before the second
nju-luke commented on issue #10368: asscalar is very slow
URL:
https://github.com/apache/incubator-mxnet/issues/10368#issuecomment-377979496
Thank you for the answer.
And I have another problem, could you please help me fix it.
When I use mxnet with gpu context, the first iteration
haojin2 commented on a change in pull request #10208: [MXNET-117] Sparse
operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#discussion_r178591508
##
File path: src/operator/tensor/elemwise_binary_broadcast_op_basic.cc
##
haojin2 commented on a change in pull request #10208: [MXNET-117] Sparse
operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#discussion_r178591486
##
File path: python/mxnet/ndarray/sparse.py
##
@@ -1176,6 +1480,7 @@ def
haojin2 commented on a change in pull request #10208: [MXNET-117] Sparse
operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#discussion_r178591121
##
File path: tests/python/unittest/test_sparse_operator.py
##
@@ -1675,6
haojin2 commented on a change in pull request #10208: [MXNET-117] Sparse
operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#discussion_r178591078
##
File path: tests/python/unittest/test_sparse_operator.py
##
@@ -1675,6
eric-haibin-lin commented on a change in pull request #10231: [MXNET-16] move
dmlc-core & nnvm
URL: https://github.com/apache/incubator-mxnet/pull/10231#discussion_r178591087
##
File path: LICENSE
##
@@ -220,13 +220,13 @@
3. scala-package - For details, see,
eric-haibin-lin opened a new pull request #10370: Update LICENSE for
nnvm-fusion path
URL: https://github.com/apache/incubator-mxnet/pull/10370
## Description ##
(Brief description on what this PR is about)
@mbaijal
## Checklist ##
### Essentials ###
- [ ] Passed code
nju-luke commented on issue #10368: asscalar is very slow
URL:
https://github.com/apache/incubator-mxnet/issues/10368#issuecomment-377979496
This is the version with time, and the third out put time.
``` python
print(datetime.datetime.now())
train_loss =
asitstands opened a new issue #10369: Proper seeding of the random number
generators for parallel CPU threads and multiple GPU devices
URL: https://github.com/apache/incubator-mxnet/issues/10369
It looks like the random number generators for CPU threads are seeded with
consecutive
eric-haibin-lin commented on a change in pull request #10293: [MXNET-72]
Improve sparse sgd on GPU
URL: https://github.com/apache/incubator-mxnet/pull/10293#discussion_r178586231
##
File path: src/operator/optimizer_op.cc
##
@@ -98,6 +98,38 @@ Where the parameter
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new 9a0d002 [MXNET-141] Add tutorial
indhub closed pull request #10251: [MXNET-141] Add tutorial Gluon Datasets and
DataLoaders
URL: https://github.com/apache/incubator-mxnet/pull/10251
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sxjscience commented on issue #10363: Fix windows setup doc using VS 2017
URL: https://github.com/apache/incubator-mxnet/pull/10363#issuecomment-377976220
Also, we have another place that shows the windows setup doc.
sxjscience commented on issue #10363: Fix windows setup doc using VS 2017
URL: https://github.com/apache/incubator-mxnet/pull/10363#issuecomment-377975456
Looks great!
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sxjscience commented on issue #10364: [MXNET-260]remove use_fast_math
URL: https://github.com/apache/incubator-mxnet/pull/10364#issuecomment-377974852
This solves https://github.com/apache/incubator-mxnet/issues/9572 . Also, I
find that (-1)**2 and (-1)**3 are not tested in the code. We'd
eric-haibin-lin commented on a change in pull request #10293: [MXNET-72]
Improve sparse sgd on GPU
URL: https://github.com/apache/incubator-mxnet/pull/10293#discussion_r178586231
##
File path: src/operator/optimizer_op.cc
##
@@ -98,6 +98,38 @@ Where the parameter
haojin2 commented on a change in pull request #10208: [MXNET-117] Sparse
operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#discussion_r178585958
##
File path: src/operator/tensor/elemwise_binary_broadcast_op_basic.cc
##
sxjscience commented on issue #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366#issuecomment-377972673
I think the temporary workspace is used in the sparse update
@eric-haibin-lin
This is an
sxjscience commented on issue #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366#issuecomment-377972673
I think the temporary workspace is used in the code @eric-haibin-lin
This is an automated
reminisce commented on issue #10368: asscalar is very slow
URL:
https://github.com/apache/incubator-mxnet/issues/10368#issuecomment-377963542
How did you time it? `asscalar` is a blocking function call, while the other
lines are async. It would not be accurate to simply time it line by
nju-luke opened a new issue #10368: asscalar is very slow
URL: https://github.com/apache/incubator-mxnet/issues/10368
The train part cost 0.01 second, but the asscalar operation cost a few
second sometimes more than 10. I install the newest version of mxnet by pip,
and this was happened
asitstands opened a new pull request #10367: [MXNET-262] Implement
mx.random.seed_context to seed random number generators of a specific device
context
URL: https://github.com/apache/incubator-mxnet/pull/10367
## Description ##
This PR introduces a function `mx.random.seed_context`
asitstands commented on a change in pull request #10351: [MXNET-259]
Performance improvement of random.shuffle
URL: https://github.com/apache/incubator-mxnet/pull/10351#discussion_r178562672
##
File path: src/operator/random/shuffle_op.cc
##
@@ -55,18 +56,24 @@ void
marcoabreu commented on issue #10365: [MXNET-261]Update MKLDNN & Add CPP Test
URL: https://github.com/apache/incubator-mxnet/pull/10365#issuecomment-37790
I'd vote for using a stable version instead of the latest master.
@xinyu-intel @pengzhao-intel what's the stability of the
marcoabreu commented on issue #10353: CI does not check with CuDNN=0
URL:
https://github.com/apache/incubator-mxnet/issues/10353#issuecomment-377909647
I'd propose to add specific excludes (for these non-runnable tests) to the
nosetest call in runtime_functions.sh.
marcoabreu commented on issue #10353: CI does not check with CuDNN=0
URL:
https://github.com/apache/incubator-mxnet/issues/10353#issuecomment-377909647
I'd propose to add specific excludes (for these non-runnable tests) to the
nosetest call in runtime_functions.sh.
Other options
marcoabreu commented on issue #10365: [MXNET-261]Update MKLDNN & Add CPP Test
URL: https://github.com/apache/incubator-mxnet/pull/10365#issuecomment-37790
I'd vote for using a stable version instead of the latest master
solin319 opened a new pull request #10366: fix bug in sgd
URL: https://github.com/apache/incubator-mxnet/pull/10366
`ResourceRequest` will make `sgd_mom_update` can't overlap the backward
computation. #9782
So can we delete `ResourceRequest` when register `sgd_mom_update`.
zheng-da commented on issue #10353: CI does not check with CuDNN=0
URL:
https://github.com/apache/incubator-mxnet/issues/10353#issuecomment-377878897
We should definitely test build. The question is whether we should run the
code and how? Some test code can't run without CuDNN as we have
jinhuang415 commented on a change in pull request #10336: Fix MKLDNN
sigmoid/softrelu issue
URL: https://github.com/apache/incubator-mxnet/pull/10336#discussion_r178503829
##
File path: tests/python/unittest/test_gluon.py
##
@@ -717,8 +717,8 @@ def test_lambda():
zheng-da commented on issue #10365: Update MKLDNN & Add CPP Test
URL: https://github.com/apache/incubator-mxnet/pull/10365#issuecomment-377878370
Should we update MKLDNN to the latest commit in its master branch? or should
we always attach it to a certain version tag? What rule should we
xinyu-intel opened a new pull request #10365: Update MKLDNN & Add CPP Test
URL: https://github.com/apache/incubator-mxnet/pull/10365
## Description ##
This pr aims to fix bugs in #8712 by update MKLDNN to the newest. CPP tests
are added to monitor data format change of MKL-DNN
zheng-da commented on a change in pull request #10336: Fix MKLDNN
sigmoid/softrelu issue
URL: https://github.com/apache/incubator-mxnet/pull/10336#discussion_r178500575
##
File path: tests/python/unittest/test_gluon.py
##
@@ -717,8 +717,8 @@ def test_lambda():
zheng-da commented on a change in pull request #10336: Fix MKLDNN
sigmoid/softrelu issue
URL: https://github.com/apache/incubator-mxnet/pull/10336#discussion_r178500575
##
File path: tests/python/unittest/test_gluon.py
##
@@ -717,8 +717,8 @@ def test_lambda():
cgraywang commented on issue #10363: Fix windows setup doc using VS 2017
URL: https://github.com/apache/incubator-mxnet/pull/10363#issuecomment-377867492
@aaronmarkham
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cgraywang commented on issue #10363: Fix windows setup doc using VS 2017
URL: https://github.com/apache/incubator-mxnet/pull/10363#issuecomment-377866992
@sxjscience please take a look at this as well.
This is an automated
yajiedesign opened a new pull request #10364: [MXNET-260]remove use_fast_math
URL: https://github.com/apache/incubator-mxnet/pull/10364
## Description ##
remove use_fast_math
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
-
cgraywang opened a new pull request #10363: Fix windows setup doc using VS 2017
URL: https://github.com/apache/incubator-mxnet/pull/10363
## Description ##
Update the MXNet windows installation doc by adding the details about how to
install MXNet from source on windows using VS
anirudhacharya commented on issue #10283: [MXNET-242][Tutorial] Fine-tuning
ONNX model in Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10283#issuecomment-377863372
@ThomasDelteil please update this tutorial in the ONNX-MXNet API page -
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