[GitHub] anirudh2290 commented on a change in pull request #9373: Proof of concept for exception handling in operators (DON'T MERGE)

anirudh2290 commented on a change in pull request #9373: Proof of concept for exception handling in operators (DON'T MERGE) URL: https://github.com/apache/incubator-mxnet/pull/9373#discussion_r162802917 ## File path: src/engine/threaded_engine.cc ## @@ -391,18 +394,29 @@

[GitHub] kice commented on issue #9438: MXNet crash while getting output of the network

kice commented on issue #9438: MXNet crash while getting output of the network URL: https://github.com/apache/incubator-mxnet/issues/9438#issuecomment-359227384 I implement another network, also have the same issue. I found that the concat operation MXNET need a huge amount of GPU

[GitHub] jimm1973 commented on issue #9507: Segmentation Fault

jimm1973 commented on issue #9507: Segmentation Fault URL: https://github.com/apache/incubator-mxnet/issues/9507#issuecomment-359226649 HI @larroy I did try ulimit -c unlimited i worked but the the terminal responds "Segmentation fault (core dumped)"

[GitHub] cjolivier01 commented on issue #9389: [SUBMODULE] Upgrade ps-lite to the latest version

cjolivier01 commented on issue #9389: [SUBMODULE] Upgrade ps-lite to the latest version URL: https://github.com/apache/incubator-mxnet/pull/9389#issuecomment-359224755 I am fine merging it at any time. Haibin? On Sat, Jan 20, 2018 at 9:11 PM Nan Zhu

[GitHub] CodingCat commented on issue #9389: [SUBMODULE] Upgrade ps-lite to the latest version

CodingCat commented on issue #9389: [SUBMODULE] Upgrade ps-lite to the latest version URL: https://github.com/apache/incubator-mxnet/pull/9389#issuecomment-359224549 @eric-haibin-lin @cjolivier01 what's the current agreement for this? I do not mind merging it after 1.0.1 release.

[GitHub] pengzhao-intel commented on issue #8302: Refactor operators & MKLDNN

pengzhao-intel commented on issue #8302: Refactor operators & MKLDNN URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-358939263 Regarding the inference performance, the new MKL-DNN shows better performance than MKLML engine as below table. *I will update the

[GitHub] pengzhao-intel commented on issue #8302: Refactor operators & MKLDNN

pengzhao-intel commented on issue #8302: Refactor operators & MKLDNN URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-358939263 Regarding the inference performance of **Batchsize=1**, the new MKL-DNN shows better performance than MKLML engine as below table. *I

[GitHub] jimm1973 commented on issue #9507: Segmentation Fault

jimm1973 commented on issue #9507: Segmentation Fault URL: https://github.com/apache/incubator-mxnet/issues/9507#issuecomment-359219382 I'll do it when i get back on my RPi3. It's happening when I rename the "Inception-BN_symbol.json" to "Inception_BN_symbol.json"

[GitHub] jimm1973 commented on issue #9507: Segmentation Fault

jimm1973 commented on issue #9507: Segmentation Fault URL: https://github.com/apache/incubator-mxnet/issues/9507#issuecomment-359219382 I'll try it when i get back on my RPi3. It's happening when I rename the "Inception-BN_symbol.json" to "Inception_BN_symbol.json"

[GitHub] mbaijal commented on issue #9505: [WIP][Review Required] License Fixes based on Apache RAT Feedback Part 4

mbaijal commented on issue #9505: [WIP][Review Required] License Fixes based on Apache RAT Feedback Part 4 URL: https://github.com/apache/incubator-mxnet/pull/9505#issuecomment-359218161 Yes Sheng, this is WIP because Pracheer wanted to confirm the license on one file. On Jan

[GitHub] szha commented on issue #9505: [WIP][Review Required] License Fixes based on Apache RAT Feedback Part 4

szha commented on issue #9505: [WIP][Review Required] License Fixes based on Apache RAT Feedback Part 4 URL: https://github.com/apache/incubator-mxnet/pull/9505#issuecomment-359217103 Ping @mbaijal This is an automated

[GitHub] szha closed pull request #9510: Fix broken link

szha closed pull request #9510: Fix broken link URL: https://github.com/apache/incubator-mxnet/pull/9510 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull request (from a

[incubator-mxnet] branch master updated: Fix broken link (#9510)

This is an automated email from the ASF dual-hosted git repository. zhasheng 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 20fbda6 Fix broken link (#9510)

[incubator-mxnet] branch master updated: add norm operator for sparse ndarray (#9479)

This is an automated email from the ASF dual-hosted git repository. zhasheng 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 4616737 add norm operator for

[GitHub] szha closed pull request #9479: add norm operator for sparse ndarray

szha closed pull request #9479: add norm operator for sparse ndarray URL: https://github.com/apache/incubator-mxnet/pull/9479 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign

[GitHub] astonzhang opened a new pull request #9510: Fix broken link

astonzhang opened a new pull request #9510: Fix broken link URL: https://github.com/apache/incubator-mxnet/pull/9510 ## Description ## Fix broken link in API doc ## Checklist ## ### Essentials ### - [x] Passed code style checking (`make lint`) - [x] Changes are complete

[GitHub] zhreshold commented on a change in pull request #9457: Move get_images to test_utils.py, so it can be used from other tests. Fix documentation with recent im2rec changes.

zhreshold commented on a change in pull request #9457: Move get_images to test_utils.py, so it can be used from other tests. Fix documentation with recent im2rec changes. URL: https://github.com/apache/incubator-mxnet/pull/9457#discussion_r162794989 ## File path:

[GitHub] zhreshold commented on a change in pull request #9457: Move get_images to test_utils.py, so it can be used from other tests. Fix documentation with recent im2rec changes.

zhreshold commented on a change in pull request #9457: Move get_images to test_utils.py, so it can be used from other tests. Fix documentation with recent im2rec changes. URL: https://github.com/apache/incubator-mxnet/pull/9457#discussion_r162794841 ## File path:

[GitHub] sxjscience opened a new issue #9506: Using the same seed will generate different results on different devices

sxjscience opened a new issue #9506: Using the same seed will generate different results on different devices URL: https://github.com/apache/incubator-mxnet/issues/9506 ## Description ```python import mxnet as mx mx.random.seed(100) mx.random.normal(0, 1, 10, ctx=mx.gpu(0))

[GitHub] cjolivier01 closed pull request #9397: [CMake] Remove linker flags from CXX_FLAGS when using OPENCV. Exclude binaries from lint. Fix im2rec on cuda.

cjolivier01 closed pull request #9397: [CMake] Remove linker flags from CXX_FLAGS when using OPENCV. Exclude binaries from lint. Fix im2rec on cuda. URL: https://github.com/apache/incubator-mxnet/pull/9397 This is a PR merged from a forked repository. As GitHub hides the original diff on

[incubator-mxnet] branch master updated: [Build] Remove linker flags on compilation flags causing tons of warnings when using OPENCV. (#9397)

This is an automated email from the ASF dual-hosted git repository. cjolivier01 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 caa6250 [Build] Remove linker

[GitHub] taylover-pei opened a new issue #9509: SphereFace

taylover-pei opened a new issue #9509: SphereFace URL: https://github.com/apache/incubator-mxnet/issues/9509 Is there someone who has complete the A-Softmax Loss(SphereFace) code with MxNet? This is an automated message from

[GitHub] relaxli00 opened a new issue #9508: Gluon Conv1DTranspose causes "kernel died"

relaxli00 opened a new issue #9508: Gluon Conv1DTranspose causes "kernel died" URL: https://github.com/apache/incubator-mxnet/issues/9508 Using pip-installed mxnet-cu90-1.0.1b20171229. Similar codes, Conv2DTranspose works fine and Conv1DTranspose causes kernel death, in Spyder 3.2.6.

[GitHub] larroy commented on issue #9507: Segmentation Fault

larroy commented on issue #9507: Segmentation Fault URL: https://github.com/apache/incubator-mxnet/issues/9507#issuecomment-359173306 Where's the segmentation fault happening? Can you do: ``` ulimit -c unlimited ``` then use the `bt` command in gdb to get a backtrace, but

[GitHub] jimm1973 opened a new issue #9507: Segmentation Fault

jimm1973 opened a new issue #9507: Segmentation Fault URL: https://github.com/apache/incubator-mxnet/issues/9507 Hello everyone, Im following this post for my studies "https://mxnet.incubator.apache.org/tutorials/embedded/wine_detector.html; but whenever I run the python camera_test.py on

[GitHub] marcoabreu commented on issue #8302: Refactor operators & MKLDNN

marcoabreu commented on issue #8302: Refactor operators & MKLDNN URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-359171994 I'm thinking about devices like deepcam for example. Am 20.01.2018 2:29 nachm. schrieb "Tao Lv" : >

[GitHub] TaoLv commented on issue #8302: Refactor operators & MKLDNN

TaoLv commented on issue #8302: Refactor operators & MKLDNN URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-359171544 @marcoabreu Thanks for your comments. We will update the perf data with other batch sizes later. I am not very sure about what are the exact

[GitHub] TaoLv commented on issue #8302: Refactor operators & MKLDNN

TaoLv commented on issue #8302: Refactor operators & MKLDNN URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-359171544 @marcoabreu Thanks for your comments. We will update the perf data with other batch sizes later. I am not very sure about what are the exact

[GitHub] larroy commented on issue #9457: Move get_images to test_utils.py, so it can be used from other tests. Fix documentation with recent im2rec changes.

larroy commented on issue #9457: Move get_images to test_utils.py, so it can be used from other tests. Fix documentation with recent im2rec changes. URL: https://github.com/apache/incubator-mxnet/pull/9457#issuecomment-359170590 @zhreshold

[GitHub] larroy commented on issue #9397: [CMake] Remove linker flags from CXX_FLAGS when using OPENCV. Exclude binaries from lint. Fix im2rec on cuda.

larroy commented on issue #9397: [CMake] Remove linker flags from CXX_FLAGS when using OPENCV. Exclude binaries from lint. Fix im2rec on cuda. URL: https://github.com/apache/incubator-mxnet/pull/9397#issuecomment-359170553 Did the changes you requested, can you please merge this?

[GitHub] TaoLv commented on issue #3946: When predicting, does mxnet provide thread-safe interface?

TaoLv commented on issue #3946: When predicting, does mxnet provide thread-safe interface? URL: https://github.com/apache/incubator-mxnet/issues/3946#issuecomment-359170354 @eric-haibin-lin @cjolivier01 Thanks for the information. I am just curious about how does mxnet deal with the

[GitHub] larroy commented on issue #9397: [CMake] Remove linker flags from CXX_FLAGS when using OPENCV. Exclude binaries from lint. Fix im2rec on cuda.

larroy commented on issue #9397: [CMake] Remove linker flags from CXX_FLAGS when using OPENCV. Exclude binaries from lint. Fix im2rec on cuda. URL: https://github.com/apache/incubator-mxnet/pull/9397#issuecomment-358940355 It's explained in the body of the PR: **(clang: warning:

[GitHub] larroy commented on issue #9476: libmxnet.so: undefined symbol: dorgqr_?????????????????

larroy commented on issue #9476: libmxnet.so: undefined symbol: dorgqr_? URL: https://github.com/apache/incubator-mxnet/issues/9476#issuecomment-359170165 should be correct, maybe due to ubuntu? We test in ubuntu 16.04. Why do you run ubuntu 14? is too old.

[GitHub] szha commented on issue #8203: How to release the GPU?!

szha commented on issue #8203: How to release the GPU?! URL: https://github.com/apache/incubator-mxnet/issues/8203#issuecomment-359167798 @apache/mxnet-committers: This issue has been inactive for the past 90 days. It has no label and needs triage. For general "how-to" questions,

[GitHub] szha commented on issue #6545: SSD support for arbitrary shapes at prediction (without resize)

szha commented on issue #6545: SSD support for arbitrary shapes at prediction (without resize) URL: https://github.com/apache/incubator-mxnet/issues/6545#issuecomment-359167797 @apache/mxnet-committers: This issue has been inactive for the past 90 days. It has no label and needs triage.

[GitHub] szha commented on issue #5326: Train-accuracy=0.000000

szha commented on issue #5326: Train-accuracy=0.00 URL: https://github.com/apache/incubator-mxnet/issues/5326#issuecomment-359167799 @apache/mxnet-committers: This issue has been inactive for the past 90 days. It has no label and needs triage. For general "how-to" questions,

[GitHub] leezu commented on issue #9501: LSTM doesn't work with Symbols and HybridBlocks

leezu commented on issue #9501: LSTM doesn't work with Symbols and HybridBlocks URL: https://github.com/apache/incubator-mxnet/issues/9501#issuecomment-359164142 LSTM doesn't support HybridBlock yet. If you just wish to build a simple LSTM you can directly use the

[GitHub] leezu commented on issue #9501: LSTM doesn't work with Symbols and HybridBlocks

leezu commented on issue #9501: LSTM doesn't work with Symbols and HybridBlocks URL: https://github.com/apache/incubator-mxnet/issues/9501#issuecomment-359164142 LSTM doesn't support HybridBlock yet. If you just wish to build a simple LSTM you can directly use the

[GitHub] Rikorose commented on issue #9493: Data Loading API for NDArray

Rikorose commented on issue #9493: Data Loading API for NDArray URL: https://github.com/apache/incubator-mxnet/issues/9493#issuecomment-359158822 This looks promising, I wonder why I had not found it yet. I will try it out this week. What about storing `nd.array` in a record file?

[GitHub] Matafight commented on issue #7551: How to get the symbol of gluon's RNN model by hybridizing

Matafight commented on issue #7551: How to get the symbol of gluon's RNN model by hybridizing URL: https://github.com/apache/incubator-mxnet/issues/7551#issuecomment-359154848 looking forward to this new feature This is an