[GitHub] SumNeuron opened a new issue #8716: ImageDetIter uses type list as inside making as_in_context break

SumNeuron opened a new issue #8716: ImageDetIter uses type list as inside making as_in_context break URL: https://github.com/apache/incubator-mxnet/issues/8716 Using ImageDetIter and as_in_context with batch.data[0] results in TypeError: copyto does not support type

[GitHub] SumNeuron opened a new issue #8715: Documentation for MultiBoxPrior is not substantial

SumNeuron opened a new issue #8715: Documentation for MultiBoxPrior is not substantial URL: https://github.com/apache/incubator-mxnet/issues/8715 The documentation for

[GitHub] analog-cbarber commented on issue #8703: [DISCUSSION] (when) Should we deprecate support for python2?

analog-cbarber commented on issue #8703: [DISCUSSION] (when) Should we deprecate support for python2? URL: https://github.com/apache/incubator-mxnet/issues/8703#issuecomment-345526555 The easy choice would be to simply copy numpy's decision and drop python2 the same time they do.

[GitHub] yajiedesign commented on issue #8714: win10 cuda8.0 vs2013 compile problem

yajiedesign commented on issue #8714: win10 cuda8.0 vs2013 compile problem URL: https://github.com/apache/incubator-mxnet/issues/8714#issuecomment-345517366 do you update submodule? This is an automated message from the

[GitHub] junxigauss commented on issue #8714: win10 cuda8.0 vs2013 compile problem

junxigauss commented on issue #8714: win10 cuda8.0 vs2013 compile problem URL: https://github.com/apache/incubator-mxnet/issues/8714#issuecomment-345517963 I clone recursively the latest version today.I reappeared it on three computer. I try the openblas-v0.2.14-win64-int64?same as

[GitHub] zheng-da commented on issue #8196: MKL Bug

zheng-da commented on issue #8196: MKL Bug URL: https://github.com/apache/incubator-mxnet/issues/8196#issuecomment-345532513 My MKLDNN code seems to solve the problem. The output is very deterministic. It's always ``` 1.1635 1.1635 [ 0.] [ 0.] ```

[GitHub] MrXu commented on issue #8365: error to use gluon interface to download pretrained mobilenet1_0

MrXu commented on issue #8365: error to use gluon interface to download pretrained mobilenet1_0 URL: https://github.com/apache/incubator-mxnet/issues/8365#issuecomment-345521065 any update? This is an automated message from

[GitHub] ZiyueHuang commented on issue #8611: optimization for dot(csr.T, dense) = rsp

ZiyueHuang commented on issue #8611: optimization for dot(csr.T, dense) = rsp URL: https://github.com/apache/incubator-mxnet/pull/8611#issuecomment-345533714 Add benchmark for `n=2` case, Before, ``` python dot.py --num-omp-threads 16

[GitHub] tqchen commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake?

tqchen commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake? URL: https://github.com/apache/incubator-mxnet/issues/8702#issuecomment-345537323 CMake is great, and we can still use the configuration based tricks

[GitHub] pracheer commented on issue #8703: [DISCUSSION] (when) Should we deprecate support for python2?

pracheer commented on issue #8703: [DISCUSSION] (when) Should we deprecate support for python2? URL: https://github.com/apache/incubator-mxnet/issues/8703#issuecomment-345546205 I'm assuming there are still a lot of production customers who are using Python2 and will continue to do so

[GitHub] pracheer commented on issue #8684: [BugFix][CoreML Converter] Dense layers w/o bias.

pracheer commented on issue #8684: [BugFix][CoreML Converter] Dense layers w/o bias. URL: https://github.com/apache/incubator-mxnet/pull/8684#issuecomment-345546919 @jiajiechen @srikris This is an automated message from the

[GitHub] piiswrong commented on issue #8674: ADD CapsNet example

piiswrong commented on issue #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#issuecomment-345549454 Does the results match the original paper? This is an automated message from the Apache

[GitHub] piiswrong commented on a change in pull request #8674: ADD CapsNet example

piiswrong commented on a change in pull request #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#discussion_r151877975 ## File path: example/capsnet/README.md ## @@ -0,0 +1,32 @@ +**CapsNet-MXNet**

[GitHub] Soonhwan-Kwon commented on issue #8674: ADD CapsNet example

Soonhwan-Kwon commented on issue #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#issuecomment-345554566 The original paper's result was 0.39% and we expect it can be achieved by adding data augmentation(scale shift) like other implementations of other

[GitHub] Soonhwan-Kwon commented on issue #8674: ADD CapsNet example

Soonhwan-Kwon commented on issue #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#issuecomment-345554566 The original paper's result was 0.39% and we expect it can be achieved by adding data augmentation(scale shift) like other implementations of other

[GitHub] sbodenstein commented on issue #7931: MKL-DNN integration: request for reviews

sbodenstein commented on issue #7931: MKL-DNN integration: request for reviews URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-345538097 @ykim362: do you know if bugs, like the resnet convergence bug, are still unsolved with v0.11 MKL-DNN?

[incubator-mxnet] branch master updated: disable test causing mklml-cpu to fail (#8713)

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[GitHub] szha closed pull request #8713: Disable 'test_operator.test_depthwise_convolution' which fails in [Python2: MKLML-CPU] and [Python3: MKLML-CPU]

szha closed pull request #8713: Disable 'test_operator.test_depthwise_convolution' which fails in [Python2: MKLML-CPU] and [Python3: MKLML-CPU] URL: https://github.com/apache/incubator-mxnet/pull/8713 This is a PR merged from a forked repository. As GitHub hides the original diff on

[GitHub] piiswrong commented on a change in pull request #8107: "add warmup lr_scheduler" create a new pr

piiswrong commented on a change in pull request #8107: "add warmup lr_scheduler" create a new pr URL: https://github.com/apache/incubator-mxnet/pull/8107#discussion_r151878202 ## File path: python/mxnet/lr_scheduler.py ## @@ -100,16 +100,27 @@ class

[GitHub] szha opened a new pull request #8718: Doc src and fix

szha opened a new pull request #8718: Doc src and fix URL: https://github.com/apache/incubator-mxnet/pull/8718 ## Description ## Add a link for viewing source code in api doc. Updated doc can be found at http://mxnet-doc.s3-accelerate.dualstack.amazonaws.com/api/python/index.html

[GitHub] Soonhwan-Kwon commented on a change in pull request #8674: ADD CapsNet example

Soonhwan-Kwon commented on a change in pull request #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#discussion_r151879998 ## File path: example/capsnet/README.md ## @@ -0,0 +1,32 @@ +**CapsNet-MXNet**

[GitHub] eric-haibin-lin opened a new pull request #8717: fix group2ctx with null reqs

eric-haibin-lin opened a new pull request #8717: fix group2ctx with null reqs URL: https://github.com/apache/incubator-mxnet/pull/8717 ## Description ## It looks like the index into `arg_grad_ctxes` was not correct because `g.outputs` don't include the arg_grad whose grad_req is null.

[GitHub] cjolivier01 commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake?

cjolivier01 commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake? URL: https://github.com/apache/incubator-mxnet/issues/8702#issuecomment-345541401 btw, CMake has the lint stuff, or more likely, a partial/outdated version of it. Targets are

[incubator-mxnet] 01/01: Revert "2bit gradient compression (#8662)"

This is an automated email from the ASF dual-hosted git repository. zhasheng pushed a commit to branch revert-8662-gc-pr in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git commit 2e58c0e162e081f7240db24f251d65f1d60b5f86 Author: Sheng Zha

[incubator-mxnet] branch revert-8662-gc-pr updated (eff6bb6 -> 2e58c0e)

This is an automated email from the ASF dual-hosted git repository. zhasheng pushed a change to branch revert-8662-gc-pr in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git. omit eff6bb6 Revert "2bit gradient compression (#8662)" omit ff1af09 Revert "Restored some

[GitHub] pracheer commented on issue #8698: [COREML] Update the json getter

pracheer commented on issue #8698: [COREML] Update the json getter URL: https://github.com/apache/incubator-mxnet/pull/8698#issuecomment-345548076 Yes please! This is an automated message from the Apache Git Service. To

[GitHub] piiswrong closed pull request #8611: optimization for dot(csr.T, dense) = rsp

piiswrong closed pull request #8611: optimization for dot(csr.T, dense) = rsp URL: https://github.com/apache/incubator-mxnet/pull/8611 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

[incubator-mxnet] branch master updated: optimization for dot(csr.T, dense) = rsp (#8611)

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[GitHub] szha closed issue #8319: [WIP-NewFeature] ONNX support for MXNet

szha closed issue #8319: [WIP-NewFeature] ONNX support for MXNet URL: https://github.com/apache/incubator-mxnet/issues/8319 This is an automated message from the Apache Git Service. To respond to the message, please log on

[GitHub] Soonhwan-Kwon commented on issue #8674: ADD CapsNet example

Soonhwan-Kwon commented on issue #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#issuecomment-345554566 The original paper's result was 0.25% and we expect close accuracy(0.34%) can be achieved by adding data augmentation(scale shift) like other

[GitHub] larroy commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake?

larroy commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake? URL: https://github.com/apache/incubator-mxnet/issues/8702#issuecomment-345544511 @piiswrong CMake has become the de-facto standard to build C/C++ projects. Seems installing in those platforms

[GitHub] piiswrong closed pull request #8698: [COREML] Update the json getter

piiswrong closed pull request #8698: [COREML] Update the json getter URL: https://github.com/apache/incubator-mxnet/pull/8698 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

[incubator-mxnet] branch master updated: [COREML] Update the json getter (#8698)

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 38a032c [COREML] Update the json getter

[GitHub] Soonhwan-Kwon commented on issue #8674: ADD CapsNet example

Soonhwan-Kwon commented on issue #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#issuecomment-345554566 The original paper's result was 0.25% and we expect it can be achieved by adding data augmentation(scale shift) like other implementations of other

[GitHub] tqchen commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake?

tqchen commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake? URL: https://github.com/apache/incubator-mxnet/issues/8702#issuecomment-345537323 CMake is great, and we cans till use the configuration based tricks

[GitHub] larroy commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake?

larroy commented on issue #8702: [DISCUSSION] Should we deprecate Makefile and only use CMake? URL: https://github.com/apache/incubator-mxnet/issues/8702#issuecomment-345544304 +1 for CMake This is an automated message from

[GitHub] eric-haibin-lin commented on issue #8707: Fail to build amalgamation for Android in latest version

eric-haibin-lin commented on issue #8707: Fail to build amalgamation for Android in latest version URL: https://github.com/apache/incubator-mxnet/issues/8707#issuecomment-345557830 @arank could you help diagnose the issue?

[GitHub] tqchen commented on issue #8698: [COREML] Update the json getter

tqchen commented on issue #8698: [COREML] Update the json getter URL: https://github.com/apache/incubator-mxnet/pull/8698#issuecomment-345547195 Merge this ? This is an automated message from the Apache Git Service. To

[GitHub] piiswrong closed pull request #8696: Fixing the monitor callback of the bucketing module.

piiswrong closed pull request #8696: Fixing the monitor callback of the bucketing module. URL: https://github.com/apache/incubator-mxnet/pull/8696 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:

[incubator-mxnet] branch master updated: Fixing the monitor callback of the bucketing module. (#8696)

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[incubator-mxnet] branch master updated: replace `has_key` by `in` (#8317)

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[GitHub] piiswrong closed pull request #8317: replace `has_key` by `in`

piiswrong closed pull request #8317: replace `has_key` by `in` URL: https://github.com/apache/incubator-mxnet/pull/8317 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

[GitHub] Soonhwan-Kwon commented on issue #8674: ADD CapsNet example

Soonhwan-Kwon commented on issue #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#issuecomment-345554566 The original paper's result was 0.39% and we expect it can be achieved by adding data augmentation(scale shift) like other implementation of other

[GitHub] Soonhwan-Kwon commented on issue #8674: ADD CapsNet example

Soonhwan-Kwon commented on issue #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#issuecomment-345554566 The original paper's result was 0.25% and we expect it can be achieved by adding data augmentation(scale shift) like other implementations of other

[GitHub] Soonhwan-Kwon commented on issue #8674: ADD CapsNet example

Soonhwan-Kwon commented on issue #8674: ADD CapsNet example URL: https://github.com/apache/incubator-mxnet/pull/8674#issuecomment-345554566 The original paper's result was 0.25% and we expect it can be achieved by adding data augmentation(scale shift) like other implementations of other

[GitHub] mbaijal commented on issue #8401: Make make lint compatible with python3 (don't call python2 explicitly)

mbaijal commented on issue #8401: Make make lint compatible with python3 (don't call python2 explicitly) URL: https://github.com/apache/incubator-mxnet/pull/8401#issuecomment-34127 Hi @larroy I think you need to rebase this PR with latest master to make it pass unit tests. Thanks!

[GitHub] eric-haibin-lin commented on issue #8500: program crash when run sparse model predict

eric-haibin-lin commented on issue #8500: program crash when run sparse model predict URL: https://github.com/apache/incubator-mxnet/issues/8500#issuecomment-345557450 The cpu _backward_dot operator was improved by at least 3x in #8611 Do you want to sync with master and run it again?

[GitHub] szha commented on issue #8714: win10 cuda8.0 vs2013 compile problem

szha commented on issue #8714: win10 cuda8.0 vs2013 compile problem URL: https://github.com/apache/incubator-mxnet/issues/8714#issuecomment-345502355 @yajiedesign This is an automated message from the Apache Git Service. To

[GitHub] larroy commented on a change in pull request #8680: Fix cmake library path when installing python package

larroy commented on a change in pull request #8680: Fix cmake library path when installing python package URL: https://github.com/apache/incubator-mxnet/pull/8680#discussion_r151861746 ## File path: python/mxnet/libinfo.py ## @@ -31,7 +31,7 @@ def find_lib_path():

[GitHub] mbaijal opened a new pull request #8713: Disable 'test_operator.test_depthwise_convolution' which fails in [Python2: MKLML-CPU] and [Python3: MKLML-CPU]

mbaijal opened a new pull request #8713: Disable 'test_operator.test_depthwise_convolution' which fails in [Python2: MKLML-CPU] and [Python3: MKLML-CPU] URL: https://github.com/apache/incubator-mxnet/pull/8713 ## Description ## Disable 'test_operator.test_depthwise_convolution' which

[GitHub] junxigauss opened a new issue #8714: win10 cuda8.0 vs2013 compile problem

junxigauss opened a new issue #8714: win10 cuda8.0 vs2013 compile problem URL: https://github.com/apache/incubator-mxnet/issues/8714 Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklist for essential

[GitHub] mbaijal opened a new issue #8712: test_operator.test_depthwise_convolution fails in [Python2: MKLML-CPU] and [Python3: MKLML-CPU]

mbaijal opened a new issue #8712: test_operator.test_depthwise_convolution fails in [Python2: MKLML-CPU] and [Python3: MKLML-CPU] URL: https://github.com/apache/incubator-mxnet/issues/8712 ## Description test_operator.test_depthwise_convolution fails almost everytime on cpu tests for

[GitHub] FiveMinHack commented on issue #8683: DenseNet with shared memory

FiveMinHack commented on issue #8683: DenseNet with shared memory URL: https://github.com/apache/incubator-mxnet/issues/8683#issuecomment-345507090 No, that would be the original DenseNet implementation I believe. Latest commit there is May 31 in densenet.py if I read it correct. This

[GitHub] szha closed pull request #8706: Invert environment check

szha closed pull request #8706: Invert environment check URL: https://github.com/apache/incubator-mxnet/pull/8706 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

[incubator-mxnet] branch master updated: Invert environment check (#8706)

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[GitHub] anirudh2290 commented on issue #8721: fix custom op for backward compatibility

anirudh2290 commented on issue #8721: fix custom op for backward compatibility URL: https://github.com/apache/incubator-mxnet/pull/8721#issuecomment-345591574 Thank you for fixing this and adding the tests! Yes, since the output of stypes which is the in_grads would depend on arguments

[GitHub] Jerryzcn closed issue #8723: nn.block.save_params not working properly.

Jerryzcn closed issue #8723: nn.block.save_params not working properly. URL: https://github.com/apache/incubator-mxnet/issues/8723 This is an automated message from the Apache Git Service. To respond to the message, please

[GitHub] Jerryzcn commented on issue #8723: nn.block.save_params not working properly.

Jerryzcn commented on issue #8723: nn.block.save_params not working properly. URL: https://github.com/apache/incubator-mxnet/issues/8723#issuecomment-345597125 I see thanks! Closing issue. This is an automated message from

[GitHub] piiswrong closed pull request #8710: Remove experimental warning on Gluon and add Gluon tutorials

piiswrong closed pull request #8710: Remove experimental warning on Gluon and add Gluon tutorials URL: https://github.com/apache/incubator-mxnet/pull/8710 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

[GitHub] piiswrong closed pull request #8717: fix group2ctx with null reqs

piiswrong closed pull request #8717: fix group2ctx with null reqs URL: https://github.com/apache/incubator-mxnet/pull/8717 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

[incubator-mxnet] branch master updated: Remove experimental warning on Gluon and add Gluon tutorials (#8710)

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[GitHub] liuzhi136 commented on issue #8720: Implementation Help!!!

liuzhi136 commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345598672 @szha I do not understand the meaning of "isolate the problem". Can you explain it? And Is it OK for you that I have your Wechat or email?

[incubator-mxnet] branch master updated: fix group2ctx with null reqs (#8717)

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[GitHub] leezu commented on issue #7931: MKL-DNN integration: request for reviews

leezu commented on issue #7931: MKL-DNN integration: request for reviews URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-345598574 @sbodenstein MKL with v0.11 is quite buggy. I often got `inf` values during training for no obvious reason (i.e. training is stable

[GitHub] leezu commented on issue #7931: MKL-DNN integration: request for reviews

leezu commented on issue #7931: MKL-DNN integration: request for reviews URL: https://github.com/apache/incubator-mxnet/pull/7931#issuecomment-345598574 @sbodenstein MKL with v0.11 is quite buggy. I often got `inf` values during training for no obvious reason (i.e. training is stable

[GitHub] szha commented on a change in pull request #8704: Initial Prep for 1.0: bump up version and add 0.12.1 changes to master

szha commented on a change in pull request #8704: Initial Prep for 1.0: bump up version and add 0.12.1 changes to master URL: https://github.com/apache/incubator-mxnet/pull/8704#discussion_r151907672 ## File path: docs/build_version_doc/build_all_version.sh ## @@ -21,7

[GitHub] szha commented on a change in pull request #8704: Initial Prep for 1.0: bump up version and add 0.12.1 changes to master

szha commented on a change in pull request #8704: Initial Prep for 1.0: bump up version and add 0.12.1 changes to master URL: https://github.com/apache/incubator-mxnet/pull/8704#discussion_r151907710 ## File path: setup-utils/install-mxnet-osx-python.sh ## @@ -33,7 +33,7

[GitHub] KeyKy commented on issue #8708: dataloader._batchify function is slow

KeyKy commented on issue #8708: dataloader._batchify function is slow URL: https://github.com/apache/incubator-mxnet/issues/8708#issuecomment-345599857 37 118 5568 47.2 3.2 data = np.asarray(data) 38 11839818337.4 23.0

[GitHub] dwSun commented on issue #8693: mx.image.ImageIter failed on lst files failed with " src/io/image_io.cc:168: Check failed: static_cast<void*>(dst.ptr()) == out->data().dptr"

dwSun commented on issue #8693: mx.image.ImageIter failed on lst files failed with " src/io/image_io.cc:168: Check failed: static_cast(dst.ptr()) == out->data().dptr" URL: https://github.com/apache/incubator-mxnet/issues/8693#issuecomment-345602144 I am a beginner on mxnet. No

[GitHub] MDR-EX1000 closed issue #8188: Periodic Loss Value when training with "step" learning rate policy

MDR-EX1000 closed issue #8188: Periodic Loss Value when training with "step" learning rate policy URL: https://github.com/apache/incubator-mxnet/issues/8188 This is an automated message from the Apache Git Service. To

[GitHub] liuzhi136 commented on issue #8720: Implementation Help!!!

liuzhi136 commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345611895 I just examine the data batch I provide to the model. one of batches looks like below and the next one is its corresponding text version. I can

[GitHub] liuzhi136 commented on issue #8720: Implementation Help!!!

liuzhi136 commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345611895 I just examine the data batch I provide to the model. one of batches looks like below and the next one is its corresponding text version. I can

[GitHub] solin319 commented on issue #8107: "add warmup lr_scheduler" create a new pr

solin319 commented on issue #8107: "add warmup lr_scheduler" create a new pr URL: https://github.com/apache/incubator-mxnet/pull/8107#issuecomment-345572425 I have update the parameters name and description. @piiswrong

[GitHub] ZiyueHuang opened a new pull request #8721: fix custom op for backward compatibility

ZiyueHuang opened a new pull request #8721: fix custom op for backward compatibility URL: https://github.com/apache/incubator-mxnet/pull/8721 ## Description ## Before this PR, the LR in sparse example is broken due to to the custom op, and the added test will throw err message, ```

[GitHub] ZiyueHuang commented on issue #8500: program crash when run sparse model predict

ZiyueHuang commented on issue #8500: program crash when run sparse model predict URL: https://github.com/apache/incubator-mxnet/issues/8500#issuecomment-345576013 Current LR example is broken due to the custom op. This is fixed in https://github.com/apache/incubator-mxnet/pull/8721.

[GitHub] Jerryzcn commented on issue #8723: nn.block.save_params not working properly.

Jerryzcn commented on issue #8723: nn.block.save_params not working properly. URL: https://github.com/apache/incubator-mxnet/issues/8723#issuecomment-345589651 AssertionError: Parameter net0_conv0_weight is missing in file checkpoint\latest-net-0-0.0.params. Basically, the weights are

[GitHub] eric-haibin-lin commented on issue #8721: fix custom op for backward compatibility

eric-haibin-lin commented on issue #8721: fix custom op for backward compatibility URL: https://github.com/apache/incubator-mxnet/pull/8721#issuecomment-345590950 @anirudh2290 This is an automated message from the Apache

[GitHub] szha commented on issue #8723: nn.block.save_params not working properly.

szha commented on issue #8723: nn.block.save_params not working properly. URL: https://github.com/apache/incubator-mxnet/issues/8723#issuecomment-345593756 I see. block.save_params has the option to strip away the network prefix which is on by default. turning it off should fix the

[incubator-mxnet] branch master updated: Doc src and fix (#8718)

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 fd45517 Doc src and fix (#8718) fd45517

[GitHub] piiswrong closed pull request #8718: Doc src and fix

piiswrong closed pull request #8718: Doc src and fix URL: https://github.com/apache/incubator-mxnet/pull/8718 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

[GitHub] KeyKy closed issue #8538: Can i fix bias to 0 and gbias also 0 in BatchNorm?

KeyKy closed issue #8538: Can i fix bias to 0 and gbias also 0 in BatchNorm? URL: https://github.com/apache/incubator-mxnet/issues/8538 This is an automated message from the Apache Git Service. To respond to the message,

[GitHub] ZiyueHuang commented on issue #8721: fix custom op for backward compatibility

ZiyueHuang commented on issue #8721: fix custom op for backward compatibility URL: https://github.com/apache/incubator-mxnet/pull/8721#issuecomment-345605234 @anirudh2290 Thanks for your comments. LR example is the `linear_classification.py` in example/sparse.

[GitHub] anirudh2290 commented on issue #8721: fix custom op for backward compatibility

anirudh2290 commented on issue #8721: fix custom op for backward compatibility URL: https://github.com/apache/incubator-mxnet/pull/8721#issuecomment-345591574 Thank you for fixing this and adding the tests! Yes, since the output stypes which is the in_grads would depend on arguments length

[GitHub] szha commented on issue #8689: Mark tests that should only be run nightly.

szha commented on issue #8689: Mark tests that should only be run nightly. URL: https://github.com/apache/incubator-mxnet/pull/8689#issuecomment-345609106 @KellenSunderland please rebase and resolve conflict. This is an

[GitHub] MDR-EX1000 closed issue #8357: USE_CUDNN=1

MDR-EX1000 closed issue #8357: USE_CUDNN=1 URL: https://github.com/apache/incubator-mxnet/issues/8357 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL

[GitHub] szha commented on issue #8720: Implementation Help!!!

szha commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345615703 I'm asking you to try and overfit a small dataset first as sanity check. If your model can't overfit a small subset of the data, then your model is

[GitHub] szha commented on issue #8720: Implementation Help!!!

szha commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345616379 From the screenshot it looks like the indexing of the text is correct. Do the questions match the input images?

[GitHub] szha commented on issue #8720: Implementation Help!!!

szha commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345617102 For the text part, you're using end-of-sentence token as the padding, and are unrolling all the way even for paddings. Usually you would want to 1) use a

[GitHub] mbaijal commented on issue #8175: WIP: Julia CI build

mbaijal commented on issue #8175: WIP: Julia CI build URL: https://github.com/apache/incubator-mxnet/pull/8175#issuecomment-345590057 Hi @iblis17 I should be able to help you with this. You can ping me on slack at mbaijal.

[GitHub] anirudh2290 commented on a change in pull request #8721: fix custom op for backward compatibility

anirudh2290 commented on a change in pull request #8721: fix custom op for backward compatibility URL: https://github.com/apache/incubator-mxnet/pull/8721#discussion_r151902607 ## File path: tests/python/unittest/test_operator.py ## @@ -3652,6 +3652,42 @@ def

[GitHub] szha commented on issue #8720: Implementation Help!!!

szha commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345595431 What have you tried to isolate the problem? This is an automated message from the Apache

[GitHub] szha commented on issue #8720: Implementation Help!!!

szha commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345602238 I'm not familiar with this model, so I'm trying to help by offering the perspective of how I would approach it. Have you tried anything to find

[GitHub] szha commented on issue #8720: Implementation Help!!!

szha commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345602238 I'm not familiar with this model, so I'm trying to help by offering from the perspective of how I would approach it. Have you tried anything to

[GitHub] liuzhi136 commented on issue #8720: Implementation Help!!!

liuzhi136 commented on issue #8720: Implementation Help!!! URL: https://github.com/apache/incubator-mxnet/issues/8720#issuecomment-345613723 I still wander whether the way I pad end character is correct ? This is an

[GitHub] BiranLi closed issue #7665: Request on supporting Pooling symbol with NHWC.

BiranLi closed issue #7665: Request on supporting Pooling symbol with NHWC. URL: https://github.com/apache/incubator-mxnet/issues/7665 This is an automated message from the Apache Git Service. To respond to the message,

[GitHub] YujiOshima opened a new pull request #8722: Profiler: set cpu/gpu num during execution

YujiOshima opened a new pull request #8722: Profiler: set cpu/gpu num during execution URL: https://github.com/apache/incubator-mxnet/pull/8722 Signed-off-by: YujiOshima ## Description ## In Profiler, set CPU and GPU number dynamically. Enable to

[GitHub] zhreshold commented on issue #8715: Documentation for MultiBoxPrior is not substantial

zhreshold commented on issue #8715: Documentation for MultiBoxPrior is not substantial URL: https://github.com/apache/incubator-mxnet/issues/8715#issuecomment-345589157 You can try help(mx.nd.contrib.MultiBoxPrior) for help info in python. However, I have no idea why the generated

[incubator-mxnet] branch master updated: Revert "2bit gradient compression (#8662)" (#8711)

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 504f42f Revert "2bit gradient

[GitHub] szha closed pull request #8711: Revert "2bit gradient compression"

szha closed pull request #8711: Revert "2bit gradient compression" URL: https://github.com/apache/incubator-mxnet/pull/8711 This is an automated message from the Apache Git Service. To respond to the message, please log on

[GitHub] yajiedesign commented on issue #8714: win10 cuda8.0 vs2013 compile problem

yajiedesign commented on issue #8714: win10 cuda8.0 vs2013 compile problem URL: https://github.com/apache/incubator-mxnet/issues/8714#issuecomment-345569063 include submodule? try use vs2015. This is an automated message

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