lx75249 commented on issue #7495: ndarray.hpp needs to include op.h
URL: https://github.com/apache/incubator-mxnet/pull/7495#issuecomment-324839255
I see. @dtmoodie you need to include operator.h insteand op.h.
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yajiedesign opened a new 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_r135191645
##
File path: CMakeLists.txt
##
@@ -428,19 +424,16 @@ endif()
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_r135191591
##
File path: CMakeLists.txt
##
@@ -372,35 +373,30 @@ else()
chinakook opened a new issue #7610: error C2768 "linalg_gemm":Illegal use of
explicit template arguments
URL: https://github.com/apache/incubator-mxnet/issues/7610
For bugs or installation issues, please provide the following information.
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piiswrong opened a new pull request #7609: Update ndarray.py
URL: https://github.com/apache/incubator-mxnet/pull/7609
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chinakook commented on issue #7603: Convert dot to linalg gemm
URL: https://github.com/apache/incubator-mxnet/pull/7603#issuecomment-324830810
"error C2768" showed with linalg_gemm in "linalg_impl.h" in Windows.
This is an au
rnunziata opened a new issue #7608: OSError: libcudart.so.8.0: cannot open
shared object
URL: https://github.com/apache/incubator-mxnet/issues/7608
Paths are correct...the library(libcudart.so.8.0) is presentit compiles
without error. Environment vars are set correctly for cuda-8 with
piiswrong closed pull request #7607: Update linalg_impl.h
URL: https://github.com/apache/incubator-mxnet/pull/7607
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piiswrong opened a new pull request #7607: Update linalg_impl.h
URL: https://github.com/apache/incubator-mxnet/pull/7607
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xzqjack closed issue #4205: create a new layer with mx.operator.CustomOpProp in
mxnet
URL: https://github.com/apache/incubator-mxnet/issues/4205
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xzqjack closed issue #1967: infer_shape error using Function Inception7B of
symbol_inception-v3.py for special input size
URL: https://github.com/apache/incubator-mxnet/issues/1967
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rnunziata closed issue #7567: run time error after compile on ubuntu16, cuda8 ,
cudnn6
URL: https://github.com/apache/incubator-mxnet/issues/7567
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xzqjack commented on issue #7595: MXNetR: How to corrupt input layer? (
URL:
https://github.com/apache/incubator-mxnet/issues/7595#issuecomment-324821313
As there is no nd.randint,symbol in mxnet, you can define a
sym.Variable('mask') to store mask. Then, you can generate mask tensor with
reminisce commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135180860
##
File path: src/operator/tensor/la_op.cc
##
@@ -32,6 +32,7 @@ DMLC_REGISTER_PARAMETER(LaMatrixM
piiswrong closed pull request #7603: Convert dot to linalg gemm
URL: https://github.com/apache/incubator-mxnet/pull/7603
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reminisce commented on issue #7594: pvanet Incompatible input shape, why?
URL:
https://github.com/apache/incubator-mxnet/issues/7594#issuecomment-324819489
Could you post a minimum reproducible script here? It would be easier for
people to find out the problem.
--
piiswrong closed pull request #7602: NAG also has 'momentum' optimizer args
URL: https://github.com/apache/incubator-mxnet/pull/7602
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piiswrong commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135180510
##
File path: python/mxnet/base.py
##
@@ -359,3 +361,79 @@ def _as_list(obj):
return obj
reminisce commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135179394
##
File path: python/mxnet/symbol/contrib.py
##
@@ -0,0 +1,18 @@
+# Licensed to the Apache Softwa
piiswrong commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135178925
##
File path: python/mxnet/symbol/contrib.py
##
@@ -0,0 +1,18 @@
+# Licensed to the Apache Softwa
reminisce commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135177950
##
File path: python/mxnet/base.py
##
@@ -359,3 +361,79 @@ def _as_list(obj):
return obj
piiswrong commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135178744
##
File path: src/operator/tensor/la_op.cc
##
@@ -32,6 +32,7 @@ DMLC_REGISTER_PARAMETER(LaMatrixM
piiswrong commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135178744
##
File path: src/operator/tensor/la_op.cc
##
@@ -32,6 +32,7 @@ DMLC_REGISTER_PARAMETER(LaMatrixM
piiswrong commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135178209
##
File path: python/mxnet/base.py
##
@@ -359,3 +361,79 @@ def _as_list(obj):
return obj
reminisce commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135177950
##
File path: python/mxnet/base.py
##
@@ -359,3 +361,79 @@ def _as_list(obj):
return obj
piiswrong commented on a change in pull request #7604: Refactor random linalg
contrib namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604#discussion_r135177694
##
File path: python/mxnet/base.py
##
@@ -359,3 +361,79 @@ def _as_list(obj):
return obj
smolix commented on a change in pull request #7605: Many loss functions
URL: https://github.com/apache/incubator-mxnet/pull/7605#discussion_r135177021
##
File path: python/mxnet/gluon/loss.py
##
@@ -385,3 +377,511 @@ def hybrid_forward(self, F, data, label,
nicklhy commented on issue #7217: add ForceResizeAug in CreateAugmenter
URL: https://github.com/apache/incubator-mxnet/pull/7217#issuecomment-324813158
@piiswrong , sorry that I don't really know how this conflict came up in the
jenkins test. I only add an optional type of the `resize` argu
nicklhy commented on issue #7217: add ForceResizeAug in CreateAugmenter
URL: https://github.com/apache/incubator-mxnet/pull/7217#issuecomment-324813158
@piiswrong , sorry that I don't really know how this conflict came up. I
only add an optional type of the `resize` argument in `CreateAugme
nicklhy commented on issue #7217: add ForceResizeAug in CreateAugmenter
URL: https://github.com/apache/incubator-mxnet/pull/7217#issuecomment-324813158
@piiswrong , sorry that I don't really know how this conflict came up. I
only add an optional type of the `resize` argument in `CreateAugme
smolix closed pull request #7605: Many loss functions
URL: https://github.com/apache/incubator-mxnet/pull/7605
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szha commented on a change in pull request #7605: Many loss functions
URL: https://github.com/apache/incubator-mxnet/pull/7605#discussion_r135175879
##
File path: python/mxnet/gluon/loss.py
##
@@ -385,3 +377,511 @@ def hybrid_forward(self, F, data, label,
Godricly opened a new issue #7606: Slicing mx.nd.array with postive start and
neg end alone same axis
URL: https://github.com/apache/incubator-mxnet/issues/7606
Current mx.nd.array does not support slicing with positive start end
negative end alone same axis while numpy can do it.
```py
reminisce commented on issue #7596: "is_1x1_" in convolution operator is not
really used
URL:
https://github.com/apache/incubator-mxnet/issues/7596#issuecomment-324733566
This variable is borrowed from caffe:
https://github.com/BVLC/caffe/blob/master/src/caffe/layers/base_conv_layer.cpp#L
SherlockLiao commented on issue #7593: why gluon is slower than PyTorch?
URL:
https://github.com/apache/incubator-mxnet/issues/7593#issuecomment-324809587
@szha I chance Sequential to HybridSequential, it is a little faster than
Sequential, from 175 s to 168 s, but it's still much slower t
chinakook commented on issue #7596: "is_1x1_" in convolution operator is not
really used
URL:
https://github.com/apache/incubator-mxnet/issues/7596#issuecomment-324809512
@reminisce I will try it. I've optimized the Forward funtion, then I?ve got
about 10ms reduced when inferencing a mobi
xinario commented on issue #6245: Compile lastest MXNet failed with cude 8.0
URL:
https://github.com/apache/incubator-mxnet/issues/6245#issuecomment-324808760
I'm getting the same error with cuda 8.0.61. Have you solved 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
xzqjack closed issue #7444: define a new Parametrized symbol layer and how to
use (bind, init, set learning rate ) it?
URL: https://github.com/apache/incubator-mxnet/issues/7444
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reminisce commented on issue #7596: "is_1x1_" in convolution operator is not
really used
URL:
https://github.com/apache/incubator-mxnet/issues/7596#issuecomment-324804385
@chinakook Are your interested in submitting a PR to fix this? Otherwise, I
will do it later.
--
DickJC123 commented on issue #7601: Expand linalg gemm use
URL: https://github.com/apache/incubator-mxnet/pull/7601#issuecomment-324802700
Resubmitted against top-of-trunk to bypass CI issue.
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reminisce opened a new pull request #7604: Refactor random linalg contrib
namespaces
URL: https://github.com/apache/incubator-mxnet/pull/7604
### What're included:
1. Added **contrib.py**, **linalg.py**, and **random.py** under the folders
**python/mxnet/ndarray** and **python/mxnet/sym
DickJC123 closed pull request #7601: Expand linalg gemm use
URL: https://github.com/apache/incubator-mxnet/pull/7601
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DickJC123 opened a new pull request #7603: Convert dot to linalg gemm
URL: https://github.com/apache/incubator-mxnet/pull/7603
This substitutes linalg_gemm() for the direct use of mshadow::dot().
However, for the case where a cpu gemm is needed, but where MSHADOW_USE_CBLAS =
0, the linalg_
knjcode opened a new pull request #7602: NAG also has 'momentum' optimizer args
URL: https://github.com/apache/incubator-mxnet/pull/7602
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DickJC123 opened a new pull request #7601: Expand linalg gemm use
URL: https://github.com/apache/incubator-mxnet/pull/7601
This substitutes linalg_gemm() for the direct use of mshadow::dot().
However, for the case where a cpu gemm is needed, but where MSHADOW_USE_CBLAS =
0, the linalg_gem
thvasilo commented on issue #612: "Slice end index out of range" on eval data
URL: https://github.com/apache/incubator-mxnet/issues/612#issuecomment-324798076
For me the case was that I had trained the model using one batch size and
then tried to evaluate using a different one.
E.g.
rahul003 commented on a change in pull request #7421: Resolve more compile
warnings
URL: https://github.com/apache/incubator-mxnet/pull/7421#discussion_r135164150
##
File path: src/operator/bilinear_sampler.cc
##
@@ -28,7 +28,7 @@
namespace mshadow {
template
bool betwe
rahul003 commented on a change in pull request #7421: Resolve more compile
warnings
URL: https://github.com/apache/incubator-mxnet/pull/7421#discussion_r135164150
##
File path: src/operator/bilinear_sampler.cc
##
@@ -28,7 +28,7 @@
namespace mshadow {
template
bool betwe
rahul003 commented on a change in pull request #7421: Resolve more compile
warnings
URL: https://github.com/apache/incubator-mxnet/pull/7421#discussion_r135164150
##
File path: src/operator/bilinear_sampler.cc
##
@@ -28,7 +28,7 @@
namespace mshadow {
template
bool betwe
rahul003 commented on a change in pull request #7421: Resolve more compile
warnings
URL: https://github.com/apache/incubator-mxnet/pull/7421#discussion_r135164150
##
File path: src/operator/bilinear_sampler.cc
##
@@ -28,7 +28,7 @@
namespace mshadow {
template
bool betwe
chinakook commented on issue #7596: "is_1x1_" in convolution operator is not
really used
URL:
https://github.com/apache/incubator-mxnet/issues/7596#issuecomment-324794901
[The 3.2 section](https://arxiv.org/abs/1704.04861) of Mobilenet paper have
mentioned that. I found the 1x1 convolutio
tornadomeet commented on a change in pull request #7421: Resolve more compile
warnings
URL: https://github.com/apache/incubator-mxnet/pull/7421#discussion_r135161813
##
File path: src/operator/bilinear_sampler.cc
##
@@ -28,7 +28,7 @@
namespace mshadow {
template
bool be
zhreshold commented on issue #7345: add std_rgba to normalize options
URL: https://github.com/apache/incubator-mxnet/pull/7345#issuecomment-324790726
Closing this. Will open another pr.
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zhreshold closed pull request #7345: add std_rgba to normalize options
URL: https://github.com/apache/incubator-mxnet/pull/7345
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eric-haibin-lin commented on issue #7597: fix for amalgamation build with MIN=1
URL: https://github.com/apache/incubator-mxnet/pull/7597#issuecomment-324789652
Is the `MIN=1` arg added back to Jenkins now?
#7541
This is a
eric-haibin-lin commented on issue #7597: fix for amalgamation build with MIN=1
URL: https://github.com/apache/incubator-mxnet/pull/7597#issuecomment-324789652
Is the `MIN=1` arg added back to Jenkins now?
This is an auto
lookenwu closed issue #7586: how to construct contrib operator
URL: https://github.com/apache/incubator-mxnet/issues/7586
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dtmoodie commented on issue #7495: ndarray.hpp needs to include op.h
URL: https://github.com/apache/incubator-mxnet/pull/7495#issuecomment-324787833
I will double check but it is necessary to compile an external project using
the API.
--
eric-haibin-lin commented on issue #7426: mx random seed doesn't work for
random_uniform/random_normal on gpu
URL:
https://github.com/apache/incubator-mxnet/issues/7426#issuecomment-324787560
related issue: #6783
This is a
SherlockLiao commented on issue #7593: why gluon is slower than PyTorch?
URL:
https://github.com/apache/incubator-mxnet/issues/7593#issuecomment-324787116
I will try this and give you feedback. But I am still confused why gluon
imperative graph is much slower than pytorch?
--
aksnzhy commented on issue #7512: Add two bit compression operator
URL: https://github.com/apache/incubator-mxnet/pull/7512#issuecomment-324785511
I removed the test file just to verify if it can be built successfully. I
will add them later.
---
piiswrong commented on issue #7512: Add two bit compression operator
URL: https://github.com/apache/incubator-mxnet/pull/7512#issuecomment-324784801
Where are the tests? I don't see any
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nswamy closed pull request #15: Trivial commit to sync gitbox
URL: https://github.com/apache/incubator-mxnet-site/pull/15
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nswamy 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 4ad08ba Sync gitbox (#15)
4ad
piiswrong commented on issue #7495: ndarray.hpp needs to include op.h
URL: https://github.com/apache/incubator-mxnet/pull/7495#issuecomment-324784071
@lx75249 Is this necessary? op.h might not be available before cpp-package
is compiled right?
-
piiswrong commented on issue #7423: Do not use LG in case of DMLC_GLOG_DEFINED
enabled
URL: https://github.com/apache/incubator-mxnet/pull/7423#issuecomment-324783882
LG is used all over the place. Why not define it to be glog when
DMLC_GLOG_DEFINED is enabled?
--
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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 4b94360 make MXDataIter work without ind
piiswrong closed pull request #7456: make MXDataIter work without indices
URL: https://github.com/apache/incubator-mxnet/pull/7456
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piiswrong commented on a change in pull request #7585: Add string interface to
updater to make it consistent with kvstore
URL: https://github.com/apache/incubator-mxnet/pull/7585#discussion_r135154045
##
File path: src/kvstore/kvstore_local.h
##
@@ -84,30 +86,7 @@ class KV
piiswrong commented on a change in pull request #7585: Add string interface to
updater to make it consistent with kvstore
URL: https://github.com/apache/incubator-mxnet/pull/7585#discussion_r135154045
##
File path: src/kvstore/kvstore_local.h
##
@@ -84,30 +86,7 @@ class KV
piiswrong commented on a change in pull request #7585: Add string interface to
updater to make it consistent with kvstore
URL: https://github.com/apache/incubator-mxnet/pull/7585#discussion_r135153490
##
File path: python/mxnet/kvstore.py
##
@@ -29,26 +29,37 @@
from . imp
rahul003 commented on a change in pull request #7421: Resolve more compile
warnings
URL: https://github.com/apache/incubator-mxnet/pull/7421#discussion_r135151415
##
File path: src/operator/bilinear_sampler.cc
##
@@ -28,7 +28,7 @@
namespace mshadow {
template
bool betwe
piiswrong closed pull request #7123: Add installation instruction for Fedora
(#7107)
URL: https://github.com/apache/incubator-mxnet/pull/7123
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piiswrong commented on issue #7123: Add installation instruction for Fedora
(#7107)
URL: https://github.com/apache/incubator-mxnet/pull/7123#issuecomment-324780662
The instruction for ubuntu and fedora is mixed together. Would be better to
add a selection button.
Close for now. Let'
piiswrong commented on issue #7217: add ForceResizeAug in CreateAugmenter
URL: https://github.com/apache/incubator-mxnet/pull/7217#issuecomment-324780118
Please update and resolve conflict
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rahul003 commented on a change in pull request #7421: Resolve more compile
warnings
URL: https://github.com/apache/incubator-mxnet/pull/7421#discussion_r135151415
##
File path: src/operator/bilinear_sampler.cc
##
@@ -28,7 +28,7 @@
namespace mshadow {
template
bool betwe
piiswrong commented on issue #6993: Added early stop call back class
URL: https://github.com/apache/incubator-mxnet/pull/6993#issuecomment-324779959
Closed for now. Custom training loop is the recommended way of handling this
piiswrong closed pull request #6993: Added early stop call back class
URL: https://github.com/apache/incubator-mxnet/pull/6993
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piiswrong commented on issue #7345: add std_rgba to normalize options
URL: https://github.com/apache/incubator-mxnet/pull/7345#issuecomment-324779829
@zhreshold Updates?
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piiswrong closed pull request #7202: update description in train_imagenet.py
URL: https://github.com/apache/incubator-mxnet/pull/7202
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piiswrong closed pull request #7562: nightly build test mnist training and
optimizer (#7559)
URL: https://github.com/apache/incubator-mxnet/pull/7562
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