[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182686959 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the Apache

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182686527 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the Apache

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182685164 ## File path: ci/docker/runtime_functions.sh ## @@ -349,6 +349,7 @@ sanity_check() {

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182684832 ## File path: ci/docker/install/ubuntu_scala.sh ## @@ -23,9 +23,8 @@ set -ex # install

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182685641 ## File path: docs/mxdoc.py ## @@ -367,7 +367,8 @@ def add_buttons(app, docname, source):

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182684516 ## File path: ci/docker/Dockerfile.build.ubuntu_gpu ## @@ -44,8 +44,14 @@ COPY

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182685486 ## File path: ci/docker/runtime_functions.sh ## @@ -385,6 +386,28 @@

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182686616 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the Apache

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182686851 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the Apache

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182686436 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the Apache

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182686000 ## File path: tests/tutorials/test_sanity_tutorials.py ## @@ -0,0 +1,81 @@ +# Licensed to the

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182685046 ## File path: ci/docker/install/ubuntu_tutorials.sh ## @@ -0,0 +1,26 @@ +#!/bin/bash + +#

[GitHub] marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

marcoabreu commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182684619 ## File path: ci/build.py ## @@ -157,6 +163,11 @@ def script_name() -> str:

[GitHub] Seager1989 commented on issue #5979: Same prediction values for linear regression while using mxnet in R

Seager1989 commented on issue #5979: Same prediction values for linear regression while using mxnet in R URL: https://github.com/apache/incubator-mxnet/issues/5979#issuecomment-382622142 I have the same problem on my project as using the symbol method to train an ANN. After normalizing

[GitHub] zheng-da commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and then crash down.

zheng-da commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and then crash down. URL: https://github.com/apache/incubator-mxnet/issues/10599#issuecomment-382637204 is the memory used by the temp space? i just learned that there might be multiple pieces of temp space. we

[GitHub] wentingj commented on a change in pull request #10433: [MXNET-290] MKLDNN support for model quantization

wentingj commented on a change in pull request #10433: [MXNET-290] MKLDNN support for model quantization URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r182657549 ## File path: src/operator/quantization/quantize_graph_pass.cc ## @@ -198,7 +198,7 @@

[GitHub] wentingj commented on a change in pull request #10433: [MXNET-290] MKLDNN support for model quantization

wentingj commented on a change in pull request #10433: [MXNET-290] MKLDNN support for model quantization URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r182640860 ## File path: src/operator/quantization/quantized_conv.cc ## @@ -86,12 +89,10 @@ bool

[GitHub] kailiu9 commented on issue #1611: driver shutting down exception in R

kailiu9 commented on issue #1611: driver shutting down exception in R URL: https://github.com/apache/incubator-mxnet/issues/1611#issuecomment-382625408 @yzhliu when I use NaiveEngine, this error still arise。 This is an

[GitHub] wentingj commented on a change in pull request #10433: [MXNET-290] MKLDNN support for model quantization

wentingj commented on a change in pull request #10433: [MXNET-290] MKLDNN support for model quantization URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r182641222 ## File path: src/c_api/c_api_symbolic.cc ## @@ -595,7 +597,12 @@ int

[GitHub] KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory

KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory URL: https://github.com/apache/incubator-mxnet/issues/10532#issuecomment-382621382 As I understand now memory consumes here: weights.set_data(weights.data() + output). Where weights is the Parameter with grad_req

[GitHub] KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory

KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory URL: https://github.com/apache/incubator-mxnet/issues/10532#issuecomment-382761026 Ok, for the first question and topic question I have the answer: Need to use weightsData.wait_to_read() after

[GitHub] nihui commented on issue #10578: [MXNET-326] fix filter layout in DepthwiseConv2dBackwardFilterKernel

nihui commented on issue #10578: [MXNET-326] fix filter layout in DepthwiseConv2dBackwardFilterKernel URL: https://github.com/apache/incubator-mxnet/pull/10578#issuecomment-382216816 I think it is needed to cherry-pick this commit to v1.2.0 branch, as depthwise convolution is widely used,

[GitHub] chinakook commented on issue #10611: Reshape network

chinakook commented on issue #10611: Reshape network URL: https://github.com/apache/incubator-mxnet/issues/10611#issuecomment-382707653 https://github.com/apache/incubator-mxnet/pull/10612 This is an automated message from

[GitHub] xinyu-intel opened a new pull request #10613: Add Windows MKLDNN Building Instruction

xinyu-intel opened a new pull request #10613: Add Windows MKLDNN Building Instruction URL: https://github.com/apache/incubator-mxnet/pull/10613 ## Description ## This is a raw instruction for windows users to build mxnet with mkldnn from source. The process is quite tedious and still

[GitHub] smartadpole opened a new issue #10611: Reshape network

smartadpole opened a new issue #10611: Reshape network URL: https://github.com/apache/incubator-mxnet/issues/10611 ## Description In c/c++ code, How to reshape a network created by '''MXPredCreate'''. The ```MXPredReshape``` is not exported. e-mail:smartadp...@163.com

[GitHub] liangfu commented on issue #10595: Update mobilenetv2 symbol definition

liangfu commented on issue #10595: Update mobilenetv2 symbol definition URL: https://github.com/apache/incubator-mxnet/pull/10595#issuecomment-382631637 changes to class and function names have been made according to the suggestions.

[GitHub] xiadeye commented on issue #1754: Issue in amalgamation for Android

xiadeye commented on issue #1754: Issue in amalgamation for Android URL: https://github.com/apache/incubator-mxnet/issues/1754#issuecomment-382670518 what does '${CXX} ${CFLAGS} -fPIC -o $@ -c jni/predictor.cc --sysroot=${SYS_ROOT} -I ${INCLUDE}' mean?Is it added in makefile?But I get

[GitHub] sergeykolychev commented on issue #10620: MXNET-335 [Perl] Support for image operations on symbols and ndarrays.

sergeykolychev commented on issue #10620: MXNET-335 [Perl] Support for image operations on symbols and ndarrays. URL: https://github.com/apache/incubator-mxnet/pull/10620#issuecomment-382962092 @tlby Thank you. This is an

[GitHub] ZiyueHuang commented on issue #10615: [MXNET-334] fix dtype of Embedding and add dtype argument to Dense

ZiyueHuang commented on issue #10615: [MXNET-334] fix dtype of Embedding and add dtype argument to Dense URL: https://github.com/apache/incubator-mxnet/pull/10615#issuecomment-382950343 cc @szha This is an automated message

[GitHub] 2016xjtuzyt closed issue #8443: (err) == (CUDNN_STATUS_SUCCESS) CUDNN_STATUS_NOT_INITIALIZED

2016xjtuzyt closed issue #8443: (err) == (CUDNN_STATUS_SUCCESS) CUDNN_STATUS_NOT_INITIALIZED URL: https://github.com/apache/incubator-mxnet/issues/8443 This is an automated message from the Apache Git Service. To respond to

[GitHub] 2016xjtuzyt commented on issue #8443: (err) == (CUDNN_STATUS_SUCCESS) CUDNN_STATUS_NOT_INITIALIZED

2016xjtuzyt commented on issue #8443: (err) == (CUDNN_STATUS_SUCCESS) CUDNN_STATUS_NOT_INITIALIZED URL: https://github.com/apache/incubator-mxnet/issues/8443#issuecomment-382966981 the problem has been solved by update cuda driver!

[GitHub] hetong007 commented on issue #10595: Update mobilenetv2 symbol definition

hetong007 commented on issue #10595: Update mobilenetv2 symbol definition URL: https://github.com/apache/incubator-mxnet/pull/10595#issuecomment-382981055 LGTM This is an automated message from the Apache Git Service. To

[GitHub] chinakook commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and then crash down.

chinakook commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and then crash down. URL: https://github.com/apache/incubator-mxnet/issues/10599#issuecomment-382980794 I think the MKLDNN may use its own allocation engine, other than MXNet allocation engine. The former may

[GitHub] chinakook commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and then crash down.

chinakook commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and then crash down. URL: https://github.com/apache/incubator-mxnet/issues/10599#issuecomment-382980794 I think the MKLDNN may use its own allocation engine, other than MXNet allocation engine. The former may

[GitHub] zhreshold commented on issue #10595: Update mobilenetv2 symbol definition

zhreshold commented on issue #10595: Update mobilenetv2 symbol definition URL: https://github.com/apache/incubator-mxnet/pull/10595#issuecomment-382980813 Any other comments? @szha @hetong007 This is an automated message

[GitHub] smartadpole commented on issue #10612: MXPredReshape support Windows

smartadpole commented on issue #10612: MXPredReshape support Windows URL: https://github.com/apache/incubator-mxnet/pull/10612#issuecomment-382955510 @zheng-da 我在用C的接口,但是整个检测项目还没跑通,还在做. - I am useing prediction c API, but it has

[GitHub] smartadpole commented on issue #10612: MXPredReshape support Windows

smartadpole commented on issue #10612: MXPredReshape support Windows URL: https://github.com/apache/incubator-mxnet/pull/10612#issuecomment-382955510 @zheng-da 我在用C的接口,但是整个检测项目还没跑通,还在做. - @zheng-da I am useing prediction c API, but

[GitHub] zheng-da opened a new pull request #10624: Fix a bug in the MKLDNN integration.

zheng-da opened a new pull request #10624: Fix a bug in the MKLDNN integration. URL: https://github.com/apache/incubator-mxnet/pull/10624 ## Description ## This is to fix a bug in https://github.com/apache/incubator-mxnet/issues/10580 The bug happens when an NDArray already has a

[GitHub] chinakook commented on issue #10611: Reshape network

chinakook commented on issue #10611: Reshape network URL: https://github.com/apache/incubator-mxnet/issues/10611#issuecomment-382966512 You only need to compile the newest mxnet by yourself. Then the MXPredReshape can be used on windows.

[GitHub] smartadpole commented on issue #10611: Reshape network

smartadpole commented on issue #10611: Reshape network URL: https://github.com/apache/incubator-mxnet/issues/10611#issuecomment-382954461 @chinakook 谢谢您的回答。我还有几个问题: “Add MXPredReshape API MXNET_DLL prefix” 的操作是mxnet的开发者做吗，还是我做？我做的话可能要重编源码，是这样吗？ 既然现在要导出MXPredReshape

[GitHub] liangfu commented on issue #10595: Update mobilenetv2 symbol definition

liangfu commented on issue #10595: Update mobilenetv2 symbol definition URL: https://github.com/apache/incubator-mxnet/pull/10595#issuecomment-382986585 add a link to pretrained model ? This is an automated message from the

[GitHub] chinakook commented on issue #10612: MXPredReshape support Windows

chinakook commented on issue #10612: MXPredReshape support Windows URL: https://github.com/apache/incubator-mxnet/pull/10612#issuecomment-382965410 Yes, It's good for product implementation. This is an automated message from

[incubator-mxnet] branch master updated: [MXNET-338] Fix symbol boolean evaluation (#10618)

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 6fb7c85 [MXNET-338] Fix symbol

[GitHub] szha closed pull request #10618: [MXNET-338] Fix symbol boolean evaluation

szha closed pull request #10618: [MXNET-338] Fix symbol boolean evaluation URL: https://github.com/apache/incubator-mxnet/pull/10618 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

[GitHub] szha commented on issue #10618: [MXNET-338] Fix symbol boolean evaluation

szha commented on issue #10618: [MXNET-338] Fix symbol boolean evaluation URL: https://github.com/apache/incubator-mxnet/pull/10618#issuecomment-382973926 Thanks for fixing the bug. This is an automated message from the

[GitHub] hongtao12310 commented on issue #10579: NNPACK can't be compiled at 1.1.0 1.2.0 and master branch

hongtao12310 commented on issue #10579: NNPACK can't be compiled at 1.1.0 1.2.0 and master branch URL: https://github.com/apache/incubator-mxnet/issues/10579#issuecomment-382985784 mkldnn can be built. but nnpack was still can't be built , i reviewed the code, sounds like there are some

[GitHub] spidyDev commented on issue #10611: Reshape network

spidyDev commented on issue #10611: Reshape network URL: https://github.com/apache/incubator-mxnet/issues/10611#issuecomment-382763513 @nswamy Please tag this as : Question , Feature, C++ This is an automated message from

[GitHub] spidyDev commented on issue #10610: memory increase when use adam and rmsprop.

spidyDev commented on issue #10610: memory increase when use adam and rmsprop. URL: https://github.com/apache/incubator-mxnet/issues/10610#issuecomment-382765582 @li-haoran Please do post your question on https://discuss.mxnet.io/ @nswamy : Please tag as: Question, Memory

[GitHub] eric-haibin-lin closed pull request #10585: [MXNET-329] support SparseEmbedding with dense weight

eric-haibin-lin closed pull request #10585: [MXNET-329] support SparseEmbedding with dense weight URL: https://github.com/apache/incubator-mxnet/pull/10585 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

[incubator-mxnet] branch master updated: [MXNET-329] support SparseEmbedding with dense weight (#10585)

This is an automated email from the ASF dual-hosted git repository. haibin 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 3062122 [MXNET-329] support

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182784310 ## File path: ci/docker/install/ubuntu_tutorials.sh ## @@ -0,0 +1,26 @@ +#!/bin/bash + +#

[GitHub] spidyDev commented on issue #10600: Gluon Interpolation Layer

spidyDev commented on issue #10600: Gluon Interpolation Layer URL: https://github.com/apache/incubator-mxnet/issues/10600#issuecomment-382775290 @reminisce : Please label as : Gluon, question, operator This is an automated

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182784149 ## File path: ci/docker/install/ubuntu_scala.sh ## @@ -23,9 +23,8 @@ set -ex # install

[GitHub] spidyDev commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and then crash down.

spidyDev commented on issue #10599: [MKLDNN Bug] MKLDNN eats lots of memory and then crash down. URL: https://github.com/apache/incubator-mxnet/issues/10599#issuecomment-382776715 @reminisce : Please label as : MKL, bug. We might need a label for MKLDNN.

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182789983 ## File path: docs/mxdoc.py ## @@ -367,7 +367,8 @@ def add_buttons(app, docname, source):

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182789576 ## File path: ci/docker/runtime_functions.sh ## @@ -385,6 +386,28 @@

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182789576 ## File path: ci/docker/runtime_functions.sh ## @@ -385,6 +386,28 @@

[GitHub] zheng-da commented on issue #10612: MXPredReshape support Windows

zheng-da commented on issue #10612: MXPredReshape support Windows URL: https://github.com/apache/incubator-mxnet/pull/10612#issuecomment-382793967 are you using prediction c API? This is an automated message from the Apache

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182784955 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182784893 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182787563 ## File path: ci/docker/runtime_functions.sh ## @@ -349,6 +349,7 @@ sanity_check() {

[GitHub] spidyDev commented on issue #10588: Error while trying to run LeakyRelu layer with 1-d input

spidyDev commented on issue #10588: Error while trying to run LeakyRelu layer with 1-d input URL: https://github.com/apache/incubator-mxnet/issues/10588#issuecomment-382778557 @nswamy Please label as : Gluon, Operator, Question

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182790921 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182790921 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182790921 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the

[GitHub] spidyDev commented on issue #10611: Reshape network

spidyDev commented on issue #10611: Reshape network URL: https://github.com/apache/incubator-mxnet/issues/10611#issuecomment-382763513 @nswamy Please tag this as : Question , Feature This is an automated message from the

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182783772 ## File path: ci/build.py ## @@ -157,6 +163,11 @@ def script_name() -> str:

[GitHub] KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory

KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory URL: https://github.com/apache/incubator-mxnet/issues/10532#issuecomment-382778869 Addition: I've measured time again with .wait_to_read() and calculaton time was 330 seconds but copying time became 2400 seconds!

[GitHub] David-Levinthal commented on issue #10505: Profiler profiler shoudl collect call durations not just timestamps

David-Levinthal commented on issue #10505: Profiler profiler shoudl collect call durations not just timestamps URL: https://github.com/apache/incubator-mxnet/issues/10505#issuecomment-382778960 you mean modify the title to start with Profiler (upper case P)

[GitHub] zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction

zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction URL: https://github.com/apache/incubator-mxnet/pull/10613#discussion_r182802321 ## File path: MKL_README.md ## @@ -17,3 +17,106 @@ Installing and enabling the full MKL

[GitHub] zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction

zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction URL: https://github.com/apache/incubator-mxnet/pull/10613#discussion_r182801491 ## File path: MKL_README.md ## @@ -17,3 +17,106 @@ Installing and enabling the full MKL

[GitHub] zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction

zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction URL: https://github.com/apache/incubator-mxnet/pull/10613#discussion_r182801243 ## File path: MKL_README.md ## @@ -17,3 +17,106 @@ Installing and enabling the full MKL

[GitHub] zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction

zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction URL: https://github.com/apache/incubator-mxnet/pull/10613#discussion_r182802601 ## File path: MKL_README.md ## @@ -17,3 +17,106 @@ Installing and enabling the full MKL

[GitHub] zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction

zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction URL: https://github.com/apache/incubator-mxnet/pull/10613#discussion_r18280 ## File path: MKL_README.md ## @@ -17,3 +17,106 @@ Installing and enabling the full MKL

[GitHub] spidyDev commented on issue #10602: mxnet.model.server custom Service model.get_outputs() returns only one result

spidyDev commented on issue #10602: mxnet.model.server custom Service model.get_outputs() returns only one result URL: https://github.com/apache/incubator-mxnet/issues/10602#issuecomment-382773235 @crazyleg Please post your question on

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182782147 ## File path: ci/docker/Dockerfile.build.ubuntu_gpu ## @@ -44,8 +44,14 @@ COPY

[GitHub] spidyDev commented on issue #10601: load parameters error with the same code exported by HybridBlock

spidyDev commented on issue #10601: load parameters error with the same code exported by HybridBlock URL: https://github.com/apache/incubator-mxnet/issues/10601#issuecomment-382774430 @reminisce : Please label this: gluon, bug

[GitHub] spidyDev commented on issue #10598: How to assign weight for each class in the fine-tuning example?

spidyDev commented on issue #10598: How to assign weight for each class in the fine-tuning example? URL: https://github.com/apache/incubator-mxnet/issues/10598#issuecomment-382778049 @lixiangchun : Please do post your question on : discuss.mxnet.io @reminisce : Please label as :

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182790384 ## File path: tests/tutorials/test_sanity_tutorials.py ## @@ -0,0 +1,81 @@ +# Licensed to

[GitHub] spidyDev commented on issue #10609: Gluon code fails in the normal mode but succeeds in the hybrid mode.

spidyDev commented on issue #10609: Gluon code fails in the normal mode but succeeds in the hybrid mode. URL: https://github.com/apache/incubator-mxnet/issues/10609#issuecomment-382770003 @nswamy : Please tag as : question, gluon

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182784791 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the

[GitHub] ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI

ThomasDelteil commented on a change in pull request #10608: [MXNET-292] Add tutorial tests to the CI URL: https://github.com/apache/incubator-mxnet/pull/10608#discussion_r182786851 ## File path: tests/tutorials/test_tutorials.py ## @@ -0,0 +1,187 @@ +# Licensed to the

[GitHub] spidyDev commented on issue #10586: Cannot build ubuntu_gpu CI docker image (java8 sdk missing)

spidyDev commented on issue #10586: Cannot build ubuntu_gpu CI docker image (java8 sdk missing) URL: https://github.com/apache/incubator-mxnet/issues/10586#issuecomment-382779543 @ThomasDelteil @marcoabreu Could we tag this issue appropriately? Thanks.

[GitHub] spidyDev commented on issue #10586: Cannot build ubuntu_gpu CI docker image (java8 sdk missing)

spidyDev commented on issue #10586: Cannot build ubuntu_gpu CI docker image (java8 sdk missing) URL: https://github.com/apache/incubator-mxnet/issues/10586#issuecomment-382779543 @ThomasDelteil @marcoabreu Could we label this issue appropriately? Thanks.

[GitHub] TaoLv commented on issue #10580: inference results unstable in mxnet_mkl-1.2.0b20180416

TaoLv commented on issue #10580: inference results unstable in mxnet_mkl-1.2.0b20180416 URL: https://github.com/apache/incubator-mxnet/issues/10580#issuecomment-382780304 update: @dwSun could you help to try this branch to see if this issue still there?

[GitHub] zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction

zheng-da commented on a change in pull request #10613: Add Windows MKLDNN Building Instruction URL: https://github.com/apache/incubator-mxnet/pull/10613#discussion_r182798789 ## File path: MKL_README.md ## @@ -17,3 +17,106 @@ Installing and enabling the full MKL

[GitHub] chinakook opened a new pull request #10612: MXPredReshape support Windows

chinakook opened a new pull request #10612: MXPredReshape support Windows URL: https://github.com/apache/incubator-mxnet/pull/10612 ## Description ## Add MXPredReshape API MXNET_DLL prefix to support Windows. ## Checklist ## ### Essentials ### Please feel free to remove

[GitHub] KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory

KaiserSozo commented on issue #10532: NDArray failed to allocate CPU memory URL: https://github.com/apache/incubator-mxnet/issues/10532#issuecomment-382822803 So I think I was wrong and 'weights' do not have actual data if not wait_to_read() called. Because after testing my code with

[GitHub] piiswrong commented on issue #10354: Expose the number of GPUs.

piiswrong commented on issue #10354: Expose the number of GPUs. URL: https://github.com/apache/incubator-mxnet/pull/10354#issuecomment-382822518 So the current issue is if mxnet is compiled with GPU but run on gpu-less machine, cudaGetDeviceCount will return 30 instead of

[GitHub] ThomasDelteil commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet] API to import ONNX models into Gluon.

ThomasDelteil commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet] API to import ONNX models into Gluon. URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r182830496 ## File path: python/mxnet/contrib/onnx/_import/import_onnx.py ## @@

[GitHub] ZiyueHuang opened a new pull request #10614: [MXNET-333] standard sgd_update for sparse tensors with momentum=0.0

ZiyueHuang opened a new pull request #10614: [MXNET-333] standard sgd_update for sparse tensors with momentum=0.0 URL: https://github.com/apache/incubator-mxnet/pull/10614 ## Description ## Currently the behavior of sgd optimizer for sparse tensors with momentum=0.0 and

[GitHub] spidyDev commented on issue #10574: Could't work well sbt compile using jar file

spidyDev commented on issue #10574: Could't work well sbt compile using jar file URL: https://github.com/apache/incubator-mxnet/issues/10574#issuecomment-382843156 @reminisce : Please label this as : Scala, Question This is

[GitHub] spidyDev commented on issue #10567: [Feature Request] Cache the CUDNN convolution optimization result

spidyDev commented on issue #10567: [Feature Request] Cache the CUDNN convolution optimization result URL: https://github.com/apache/incubator-mxnet/issues/10567#issuecomment-382844275 @eric-haibin-lin : Please label : CUDA, Feature

[GitHub] anirudhacharya commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet] API to import ONNX models into Gluon.

anirudhacharya commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet] API to import ONNX models into Gluon. URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r182850613 ## File path: tests/python-pytest/onnx/gluon_backend.py ## @@ -0,0

[GitHub] ashokei opened a new pull request #10616: ensure same mkldnn engine is used for consistency

ashokei opened a new pull request #10616: ensure same mkldnn engine is used for consistency URL: https://github.com/apache/incubator-mxnet/pull/10616 ## Description ## Gluon data iterators may trigger different thread for execution context, this causes mkl-dnn engine to be

[GitHub] ThomasDelteil commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet] API to import ONNX models into Gluon.

ThomasDelteil commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet] API to import ONNX models into Gluon. URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r182830496 ## File path: python/mxnet/contrib/onnx/_import/import_onnx.py ## @@

[GitHub] haojin2 commented on a change in pull request #10550: [MXNET-320] Support elemwise_add/sub between dense and csr tensors

haojin2 commented on a change in pull request #10550: [MXNET-320] Support elemwise_add/sub between dense and csr tensors URL: https://github.com/apache/incubator-mxnet/pull/10550#discussion_r182837408 ## File path: src/operator/elemwise_op_common.h ## @@ -102,6 +102,48 @@

[GitHub] haojin2 commented on a change in pull request #10550: [MXNET-320] Support elemwise_add/sub between dense and csr tensors

haojin2 commented on a change in pull request #10550: [MXNET-320] Support elemwise_add/sub between dense and csr tensors URL: https://github.com/apache/incubator-mxnet/pull/10550#discussion_r182837353 ## File path: src/operator/elemwise_op_common.h ## @@ -102,6 +102,48 @@

[GitHub] haojin2 commented on a change in pull request #10550: [MXNET-320] Support elemwise_add/sub between dense and csr tensors

haojin2 commented on a change in pull request #10550: [MXNET-320] Support elemwise_add/sub between dense and csr tensors URL: https://github.com/apache/incubator-mxnet/pull/10550#discussion_r182837308 ## File path: src/operator/elemwise_op_common.h ## @@ -102,6 +102,48 @@

[GitHub] haojin2 commented on a change in pull request #10550: [MXNET-320] Support elemwise_add/sub between dense and csr tensors

haojin2 commented on a change in pull request #10550: [MXNET-320] Support elemwise_add/sub between dense and csr tensors URL: https://github.com/apache/incubator-mxnet/pull/10550#discussion_r182837286 ## File path: src/operator/elemwise_op_common.h ## @@ -102,6 +102,48 @@

  1   2   3   >