[GitHub] sergeykolychev commented on issue #8015: [Perl] Adding Gluon interface to Perl, miscellaneous changes in order on sync with Python

sergeykolychev commented on issue #8015: [Perl] Adding Gluon interface to Perl, miscellaneous changes in order on sync with Python URL: https://github.com/apache/incubator-mxnet/pull/8015#issuecomment-331735319 @piiswrong please take a look when you have time, thank you.

[GitHub] edmBernard closed issue #7144: Ask : MXNet NDArray vs MXNet Minpy

edmBernard closed issue #7144: Ask : MXNet NDArray vs MXNet Minpy URL: https://github.com/apache/incubator-mxnet/issues/7144 This is an automated message from the Apache Git Service. To respond to the message, please log on

[GitHub] sergeykolychev opened a new pull request #8015: [Perl] Adding Gluon interface to Perl, miscellaneous changes in order on sync with Python

sergeykolychev opened a new pull request #8015: [Perl] Adding Gluon interface to Perl, miscellaneous changes in order on sync with Python URL: https://github.com/apache/incubator-mxnet/pull/8015 @tlby could you please see if you can spot anything out of place ? Thanks.

[GitHub] Vedaevolution commented on issue #7784: AssertionError: Data must be list of NDArrays

Vedaevolution commented on issue #7784: AssertionError: Data must be list of NDArrays URL: https://github.com/apache/incubator-mxnet/issues/7784#issuecomment-331719452 @Heidisnaps could you fix the issue? I have the same problem.

[GitHub] novioleo commented on issue #7908: mxnet_predict.so read the symbol json error

novioleo commented on issue #7908: mxnet_predict.so read the symbol json error URL: https://github.com/apache/incubator-mxnet/issues/7908#issuecomment-331719578 @szha these is no response. i'll try to rewrite my program as a independent shared object in c++ with mxnet only as a

[GitHub] bfgray3 commented on issue #7663: simplifying R package for efficiency and robustness

bfgray3 commented on issue #7663: simplifying R package for efficiency and robustness URL: https://github.com/apache/incubator-mxnet/pull/7663#issuecomment-331748405 Sorry--I had though all tests were green--I think the jenkins CI might have run a little after the appveyor. I am

[GitHub] piiswrong commented on a change in pull request #8013: Add ability to query MXNet version to C API

piiswrong commented on a change in pull request #8013: Add ability to query MXNet version to C API URL: https://github.com/apache/incubator-mxnet/pull/8013#discussion_r140677420 ## File path: src/c_api/c_api.cc ## @@ -136,6 +136,8 @@ int MXSetNumOMPThreads(int thread_num)

[GitHub] piiswrong commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h)

piiswrong commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h) URL: https://github.com/apache/incubator-mxnet/pull/8012#discussion_r140668646 ## File path: src/operator/mshadow_op.h ## @@ -99,22 +99,30 @@ struct

[GitHub] piiswrong commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h)

piiswrong commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h) URL: https://github.com/apache/incubator-mxnet/pull/8012#discussion_r140668646 ## File path: src/operator/mshadow_op.h ## @@ -99,22 +99,30 @@ struct

[GitHub] arank commented on issue #5079: troubles building python interface on raspberry pi 3

arank commented on issue #5079: troubles building python interface on raspberry pi 3 URL: https://github.com/apache/incubator-mxnet/issues/5079#issuecomment-331742341 Looks like you haven't turned off SSE2 in the makefile.

[GitHub] rahul003 commented on a change in pull request #7921: Add three sparse tutorials

rahul003 commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140667172 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for Sparse

[GitHub] rahul003 commented on a change in pull request #7921: Add three sparse tutorials

rahul003 commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140666778 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for Sparse

[GitHub] rahul003 commented on a change in pull request #7921: Add three sparse tutorials

rahul003 commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140669985 ## File path: docs/tutorials/sparse/train.md ## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model with

[GitHub] rahul003 commented on a change in pull request #7921: Add three sparse tutorials

rahul003 commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140668725 ## File path: docs/tutorials/sparse/train.md ## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model with

[GitHub] rahul003 commented on a change in pull request #7921: Add three sparse tutorials

rahul003 commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140666579 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for Sparse

[GitHub] rahul003 commented on a change in pull request #7921: Add three sparse tutorials

rahul003 commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140667027 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for Sparse

[GitHub] rahul003 commented on a change in pull request #7921: Add three sparse tutorials

rahul003 commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140667255 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for Sparse

[GitHub] eric-haibin-lin commented on issue #7966: Operator linalg_syevd: Symmetric eigendecomposition

eric-haibin-lin commented on issue #7966: Operator linalg_syevd: Symmetric eigendecomposition URL: https://github.com/apache/incubator-mxnet/pull/7966#issuecomment-331749830 Could you sync with the master branch? The lint test should pass now

[GitHub] saicoco commented on issue #5580: How to create a Custom Operator with extra parameters in Python?

saicoco commented on issue #5580: How to create a Custom Operator with extra parameters in Python? URL: https://github.com/apache/incubator-mxnet/issues/5580#issuecomment-331755275 Means that you wanna pass a class as arg to your operator? @pengwangucla

[GitHub] novioleo commented on issue #7908: mxnet_predict.so read the symbol json error

novioleo commented on issue #7908: mxnet_predict.so read the symbol json error URL: https://github.com/apache/incubator-mxnet/issues/7908#issuecomment-331761077 @arank tks for your reply,i think it can't solve my problem,i'd like to invoke the naive c++ interface.

[GitHub] novioleo closed issue #7908: mxnet_predict.so read the symbol json error

novioleo closed issue #7908: mxnet_predict.so read the symbol json error URL: https://github.com/apache/incubator-mxnet/issues/7908 This is an automated message from the Apache Git Service. To respond to the message, please

[GitHub] qingzhouzhen commented on issue #7957: add densenet

qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331762726 I think this one is more consistent with paper This is an automated message from the Apache

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140671190 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140672649 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140679971 ## File path: docs/tutorials/sparse/train.md ## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model with

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140676413 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140674775 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140674509 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140676545 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140680425 ## File path: docs/tutorials/sparse/train.md ## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model with

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140680349 ## File path: docs/tutorials/sparse/train.md ## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model with

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140676905 ## File path: docs/tutorials/sparse/train.md ## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model with

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140676677 ## File path: docs/tutorials/sparse/train.md ## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model with

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140672403 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140672227 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140672517 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140672144 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140676020 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for

[GitHub] bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials

bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140673905 ## File path: docs/tutorials/sparse/csr.md ## @@ -0,0 +1,338 @@ + +# CSRNDArray - NDArray in Compressed

[GitHub] piiswrong commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h)

piiswrong commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h) URL: https://github.com/apache/incubator-mxnet/pull/8012#discussion_r140668701 ## File path: src/operator/mshadow_op.h ## @@ -99,22 +99,30 @@ struct

[GitHub] christophebjjani commented on issue #7998: Failing to build scalapkg with USE_DIST_KVSTORE=1 on ami-a4c7edb2

christophebjjani commented on issue #7998: Failing to build scalapkg with USE_DIST_KVSTORE=1 on ami-a4c7edb2 URL: https://github.com/apache/incubator-mxnet/issues/7998#issuecomment-331749617 @javelinjs, the issue I reported is with Amazon Linux (a version of RHEL)

[GitHub] livedimg commented on issue #2326: Integrate Baidu-warpctc

livedimg commented on issue #2326: Integrate Baidu-warpctc URL: https://github.com/apache/incubator-mxnet/pull/2326#issuecomment-331753753 mxnet On Fri, Sep 15, 2017 at 2:50 PM, wuchuanying wrote: >

[GitHub] mseeger commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h)

mseeger commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h) URL: https://github.com/apache/incubator-mxnet/pull/8012#discussion_r140669275 ## File path: src/operator/mshadow_op.h ## @@ -99,22 +99,30 @@ struct

[GitHub] piiswrong commented on issue #8011: Memory used keeps arising during training.

piiswrong commented on issue #8011: Memory used keeps arising during training. URL: https://github.com/apache/incubator-mxnet/issues/8011#issuecomment-331744241 You need to synchronize at the end of each iteration. for example, replace curr_loss += loss with curr_loss +=

[GitHub] eric-haibin-lin commented on a change in pull request #7921: Add three sparse tutorials

eric-haibin-lin commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140672197 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for

[GitHub] eric-haibin-lin commented on a change in pull request #7921: Add three sparse tutorials

eric-haibin-lin commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140672287 ## File path: docs/tutorials/sparse/rowsparse.md ## @@ -0,0 +1,383 @@ + +# RowSparseNDArray - NDArray for

[GitHub] eric-haibin-lin commented on a change in pull request #7921: Add three sparse tutorials

eric-haibin-lin commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140672266 ## File path: docs/tutorials/sparse/train.md ## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model

[GitHub] sergeykolychev commented on issue #8015: [Perl] Adding Gluon interface to Perl, miscellaneous changes in order to sync with Python

sergeykolychev commented on issue #8015: [Perl] Adding Gluon interface to Perl, miscellaneous changes in order to sync with Python URL: https://github.com/apache/incubator-mxnet/pull/8015#issuecomment-331735319 @piiswrong please take a look when you have time, thank you. perl tests

[incubator-mxnet] branch master updated: Update test_utils.py

This is an automated email from the ASF dual-hosted git repository. 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 e33da52 Update test_utils.py e33da52 is

[GitHub] arank commented on issue #7908: mxnet_predict.so read the symbol json error

arank commented on issue #7908: mxnet_predict.so read the symbol json error URL: https://github.com/apache/incubator-mxnet/issues/7908#issuecomment-331742938 Currently we don't have official cross compile instructions for Raspberry Pi, and we support building the .so natively on the Pi

[GitHub] piiswrong commented on issue #7854: Basic CPU Kernel OMP selection based upon whether GPU has been used

piiswrong commented on issue #7854: Basic CPU Kernel OMP selection based upon whether GPU has been used URL: https://github.com/apache/incubator-mxnet/pull/7854#issuecomment-331691638 This PR looks fine now and if it helps some people we should merge it. But tests are failing with

[GitHub] javelinjs commented on issue #7998: Failing to build scalapkg with USE_DIST_KVSTORE=1 on ami-a4c7edb2

javelinjs commented on issue #7998: Failing to build scalapkg with USE_DIST_KVSTORE=1 on ami-a4c7edb2 URL: https://github.com/apache/incubator-mxnet/issues/7998#issuecomment-331691667 I tried it on osx and ubuntu, with `USE_DIST_KVSTORE=1`, it built successfully. Could you help to try

[GitHub] piiswrong commented on issue #7663: simplifying R package for efficiency and robustness

piiswrong commented on issue #7663: simplifying R package for efficiency and robustness URL: https://github.com/apache/incubator-mxnet/pull/7663#issuecomment-331691020 The tests are still failing for some reason. Could you rebase your branch on current master and try again?

[GitHub] piiswrong commented on issue #7663: simplifying R package for efficiency and robustness

piiswrong commented on issue #7663: simplifying R package for efficiency and robustness URL: https://github.com/apache/incubator-mxnet/pull/7663#issuecomment-331691020 The tests are still failing for some reason. Could you rebase your branch on current master and try again?

[GitHub] tppppppppp opened a new issue #8011: Memory used keeps arising during training.

tp opened a new issue #8011: Memory used keeps arising during training. URL: https://github.com/apache/incubator-mxnet/issues/8011 When I'm trying to train my network with python, the gpu memory used keeps arising during training. The network is quite simple. As I'm a novice of

[GitHub] mseeger commented on a change in pull request #7966: Operator linalg_syevd: Symmetric eigendecomposition

mseeger commented on a change in pull request #7966: Operator linalg_syevd: Symmetric eigendecomposition URL: https://github.com/apache/incubator-mxnet/pull/7966#discussion_r140651566 ## File path: src/operator/tensor/la_op.cc ## @@ -550,5 +550,79 @@

[GitHub] mseeger opened a new pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h)

mseeger opened a new pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h) URL: https://github.com/apache/incubator-mxnet/pull/8012 Modified mshadow_op.h s.t. elemwise unary operators support dtype float64 properly. Previous code does everything in

[GitHub] sbodenstein opened a new pull request #8013: Add ability to query MXNet version to C API

sbodenstein opened a new pull request #8013: Add ability to query MXNet version to C API URL: https://github.com/apache/incubator-mxnet/pull/8013 It is useful for language bindings to have access to the version number directly.

[GitHub] mseeger commented on issue #8012: Proper float64 support for unary elemwise operators (mshadow_op.h)

mseeger commented on issue #8012: Proper float64 support for unary elemwise operators (mshadow_op.h) URL: https://github.com/apache/incubator-mxnet/pull/8012#issuecomment-331708471 Something is broken, but not in my code. I'd love to get to the unit tests on GPUs, to see whether my

[GitHub] szha closed pull request #8006: fix example

szha closed pull request #8006: fix example URL: https://github.com/apache/incubator-mxnet/pull/8006 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL

[incubator-mxnet] branch master updated: Revert "Many loss functions (#7605)" (#8010)

This is an automated email from the ASF dual-hosted git repository. 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 6c3ca32 Revert "Many loss functions

[GitHub] piiswrong closed pull request #8010: Revert "Many loss functions (#7605)"

piiswrong closed pull request #8010: Revert "Many loss functions (#7605)" URL: https://github.com/apache/incubator-mxnet/pull/8010 This is an automated message from the Apache Git Service. To respond to the message, please

[GitHub] szha closed pull request #7914: [WIP] doc update

szha closed pull request #7914: [WIP] doc update URL: https://github.com/apache/incubator-mxnet/pull/7914 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the

[GitHub] szha closed pull request #8007: add Loss suffix to losses

szha closed pull request #8007: add Loss suffix to losses URL: https://github.com/apache/incubator-mxnet/pull/8007 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub

[GitHub] szha closed pull request #7093: add variational dropout to gluon ptb example

szha closed pull request #7093: add variational dropout to gluon ptb example URL: https://github.com/apache/incubator-mxnet/pull/7093 This is an automated message from the Apache Git Service. To respond to the message,

[GitHub] piiswrong commented on issue #7854: Basic CPU Kernel OMP selection based upon whether GPU has been used

piiswrong commented on issue #7854: Basic CPU Kernel OMP selection based upon whether GPU has been used URL: https://github.com/apache/incubator-mxnet/pull/7854#issuecomment-331691638 This PR looks fine now and if it helps some people we should merge it. But tests are failing with

[GitHub] piiswrong commented on issue #8010: Revert "Many loss functions (#7605)"

piiswrong commented on issue #8010: Revert "Many loss functions (#7605)" URL: https://github.com/apache/incubator-mxnet/pull/8010#issuecomment-331689434 That's fixing forward on untested code. This is an automated message

[GitHub] piiswrong commented on issue #7957: add densenet

piiswrong commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331690844 Why is there a difference? Which version is consistent with the paper? This is an automated

[GitHub] Oh233 commented on issue #5580: How to create a Custom Operator with extra parameters in Python?

Oh233 commented on issue #5580: How to create a Custom Operator with extra parameters in Python? URL: https://github.com/apache/incubator-mxnet/issues/5580#issuecomment-331717140 @pengwangucla You may use cPickle to do that. When defining the symbol, passing parameters by

[GitHub] piiswrong commented on issue #7966: Operator linalg_syevd: Symmetric eigendecomposition

piiswrong commented on issue #7966: Operator linalg_syevd: Symmetric eigendecomposition URL: https://github.com/apache/incubator-mxnet/pull/7966#issuecomment-331690747 @asmushetzel The test failures are irrelevant. This LGTM after removing alias. Do you think it's ready to merge?

[GitHub] piiswrong commented on a change in pull request #7966: Operator linalg_syevd: Symmetric eigendecomposition

piiswrong commented on a change in pull request #7966: Operator linalg_syevd: Symmetric eigendecomposition URL: https://github.com/apache/incubator-mxnet/pull/7966#discussion_r140648594 ## File path: src/operator/tensor/la_op.cc ## @@ -550,5 +550,79 @@

[GitHub] piiswrong commented on a change in pull request #7944: Update softmax_output.cc

piiswrong commented on a change in pull request #7944: Update softmax_output.cc URL: https://github.com/apache/incubator-mxnet/pull/7944#discussion_r140650353 ## File path: src/operator/softmax_output.cc ## @@ -62,7 +62,7 @@ MXNET_REGISTER_OP_PROPERTY(SoftmaxOutput,

[GitHub] fye881 opened a new issue #8014: cross compile mxnet for android, without using Amalgamation?

fye881 opened a new issue #8014: cross compile mxnet for android, without using Amalgamation? URL: https://github.com/apache/incubator-mxnet/issues/8014 Wondering anyone has tried to cross compile the whole mxnet to ARM platform, so that we can run python scripts. With Amalgamation,

[GitHub] changss commented on issue #7664: index out of bound error when update eval metric

changss commented on issue #7664: index out of bound error when update eval metric URL: https://github.com/apache/incubator-mxnet/issues/7664#issuecomment-331771320 same problem,too. This is an automated message from the

[GitHub] piiswrong commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h)

piiswrong commented on a change in pull request #8012: Proper float64 support for unary elemwise operators (mshadow_op.h) URL: https://github.com/apache/incubator-mxnet/pull/8012#discussion_r140669363 ## File path: src/operator/mshadow_op.h ## @@ -99,22 +99,30 @@ struct

[GitHub] piiswrong commented on issue #8011: Memory used keeps arising during training.

piiswrong commented on issue #8011: Memory used keeps arising during training. URL: https://github.com/apache/incubator-mxnet/issues/8011#issuecomment-331744329 Also looks like you are doing multiple backward between stepping. This wouldn't work unless you set grad_req to 'add' and use

[GitHub] kaisark opened a new issue #8016: mxnet installation GPU validation issue/error

kaisark opened a new issue #8016: mxnet installation GPU validation issue/error URL: https://github.com/apache/incubator-mxnet/issues/8016 Hi. I ran into an mxnet installation GPU validation issue on the Nvidia TX1 (Ubuntu 16.04). I built mxnet from source according to the Device Jetson

[GitHub] piiswrong opened a new pull request #8017: Add cuda rtc module

piiswrong opened a new pull request #8017: Add cuda rtc module URL: https://github.com/apache/incubator-mxnet/pull/8017 @yzhang87 This is an automated message from the Apache Git Service. To respond to the message, please