[GitHub] fhieber commented on issue #6997: Generalized batch_dot / matrix multiplication

fhieber commented on issue #6997: Generalized batch_dot / matrix multiplication URL: https://github.com/apache/incubator-mxnet/issues/6997#issuecomment-343069228 @nicklhy mxnet-0.12.0 added a `flatten` argument to FullyConnected. If set to `False`, you can pass in n-dimensional input and

[GitHub] zhreshold commented on issue #8338: master branch cannot build on centos 7 with cuda-8.0

zhreshold commented on issue #8338: master branch cannot build on centos 7 with cuda-8.0 URL: https://github.com/apache/incubator-mxnet/issues/8338#issuecomment-343067371 @mseeger The guy reported it's solved after your PR, and I think it's related to mshadow_op.h, that's why I am

[GitHub] mseeger commented on issue #8338: master branch cannot build on centos 7 with cuda-8.0

mseeger commented on issue #8338: master branch cannot build on centos 7 with cuda-8.0 URL: https://github.com/apache/incubator-mxnet/issues/8338#issuecomment-343066287 Hello, The issue was closed, because the person who raised it figured it out. Please contact this person.

[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-343057807 Usually you want to increase the learning rate if batch size is increased. What's the density of your model and

[GitHub] eric-haibin-lin closed issue #8491: Inconsistent behavior of sparse elemwise_mul and dense elemwise_mul with nan

eric-haibin-lin closed issue #8491: Inconsistent behavior of sparse elemwise_mul and dense elemwise_mul with nan URL: https://github.com/apache/incubator-mxnet/issues/8491 This is an automated message from the Apache Git

[GitHub] eric-haibin-lin commented on a change in pull request #8539: expose group2ctx to module

eric-haibin-lin commented on a change in pull request #8539: expose group2ctx to module URL: https://github.com/apache/incubator-mxnet/pull/8539#discussion_r149873831 ## File path: tests/python/unittest/test_module.py ## @@ -70,6 +70,63 @@ def test_module_input_grads():

[GitHub] eric-haibin-lin commented on a change in pull request #8539: expose group2ctx to module

eric-haibin-lin commented on a change in pull request #8539: expose group2ctx to module URL: https://github.com/apache/incubator-mxnet/pull/8539#discussion_r149873775 ## File path: python/mxnet/module/module.py ## @@ -73,6 +75,11 @@ def __init__(self, symbol,

[GitHub] anxiaoxi45 commented on issue #5677: Constant Initializer only works on keys ending with weight

anxiaoxi45 commented on issue #5677: Constant Initializer only works on keys ending with weight URL: https://github.com/apache/incubator-mxnet/issues/5677#issuecomment-343056608 @jmacglashanDo you have any new findings?

[GitHub] anxiaoxi45 commented on issue #5677: Constant Initializer only works on keys ending with weight

anxiaoxi45 commented on issue #5677: Constant Initializer only works on keys ending with weight URL: https://github.com/apache/incubator-mxnet/issues/5677#issuecomment-343056448 I also met ... @tqchen @piiswrong @mli This

[GitHub] eric-haibin-lin closed issue #8583: Improve custom cross-entropy operator example

eric-haibin-lin closed issue #8583: Improve custom cross-entropy operator example URL: https://github.com/apache/incubator-mxnet/issues/8583 This is an automated message from the Apache Git Service. To respond to the

[GitHub] gnikh opened a new issue #8595: how to implement function like numpy.random.choice using ndarray?

gnikh opened a new issue #8595: how to implement function like numpy.random.choice using ndarray? URL: https://github.com/apache/incubator-mxnet/issues/8595 I want to sample from some discrete elements, each of which with a given probability, like the function of numpy:

[GitHub] lyblsgo commented on issue #8586: How to train Word-language-modeling-RNN on multiple GPUs???

lyblsgo commented on issue #8586: How to train Word-language-modeling-RNN on multiple GPUs??? URL: https://github.com/apache/incubator-mxnet/issues/8586#issuecomment-343025596 @eric-haibin-lin Can you give me some advice?

[GitHub] tz-hmc opened a new issue #8594: How do I extract layers and their "functionality" from pre-trained network?

tz-hmc opened a new issue #8594: How do I extract layers and their "functionality" from pre-trained network? URL: https://github.com/apache/incubator-mxnet/issues/8594 ## Description: I need to make a Siamese network for image similarity, and to do so I'm hoping to use 2 copies of

[GitHub] nicklhy commented on issue #6997: Generalized batch_dot / matrix multiplication

nicklhy commented on issue #6997: Generalized batch_dot / matrix multiplication URL: https://github.com/apache/incubator-mxnet/issues/6997#issuecomment-343017596 @fhieber , have you figured out a solution about this feature now?

[GitHub] piiswrong commented on a change in pull request #8294: NCCL integration

piiswrong commented on a change in pull request #8294: NCCL integration URL: https://github.com/apache/incubator-mxnet/pull/8294#discussion_r149841891 ## File path: python/mxnet/model.py ## @@ -104,15 +105,18 @@ def _initialize_kvstore(kvstore, param_arrays, arg_params,

[GitHub] reminisce commented on a change in pull request #8566: optimize broadcast

reminisce commented on a change in pull request #8566: optimize broadcast URL: https://github.com/apache/incubator-mxnet/pull/8566#discussion_r149839401 ## File path: src/operator/mxnet_op.h ## @@ -345,6 +394,13 @@ __global__ void mxnet_generic_kernel(int N, Args... args)

[GitHub] szha closed issue #5285: train_cifar10.py not running

szha closed issue #5285: train_cifar10.py not running URL: https://github.com/apache/incubator-mxnet/issues/5285 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and

[GitHub] szha commented on issue #5285: train_cifar10.py not running

szha commented on issue #5285: train_cifar10.py not running URL: https://github.com/apache/incubator-mxnet/issues/5285#issuecomment-343007330 This issue is closed due to lack of activity in the last 90 days. Feel free to ping me to reopen if this is still an active issue. Thanks! Also,

[GitHub] jdchoi77 opened a new issue #8593: Runtime errors during forward in a custom gluon.Block

jdchoi77 opened a new issue #8593: Runtime errors during forward in a custom gluon.Block URL: https://github.com/apache/incubator-mxnet/issues/8593 I created a dummy `Block`, which takes a 2D array, performs a 2D convolution, and feeds the convoluted output to a fully connected layer :

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

szha commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-34201 @piiswrong shall we merge this? This is an automated message from the Apache Git Service. To respond

[GitHub] yajiedesign commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support

yajiedesign commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support URL: https://github.com/apache/incubator-mxnet/pull/8572#discussion_r149830346 ## File path: cmake/FirstCuda.cmake ## @@ -0,0 +1,233 @@ +# Licensed to the

[GitHub] yajiedesign commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support

yajiedesign commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support URL: https://github.com/apache/incubator-mxnet/pull/8572#discussion_r149829711 ## File path: CMakeLists.txt ## @@ -128,14 +152,20 @@ endif()

[GitHub] yajiedesign commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support

yajiedesign commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support URL: https://github.com/apache/incubator-mxnet/pull/8572#discussion_r149829711 ## File path: CMakeLists.txt ## @@ -128,14 +152,20 @@ endif()

[GitHub] tz-hmc commented on issue #8591: How do I make a siamese network with pretrained models (esp. keeping the weights the same?)

tz-hmc commented on issue #8591: How do I make a siamese network with pretrained models (esp. keeping the weights the same?) URL: https://github.com/apache/incubator-mxnet/issues/8591#issuecomment-342970864 Wow, I didn't know that API existed. I had a lot of trouble trying to make it

[GitHub] piiswrong commented on a change in pull request #8566: optimize broadcast

piiswrong commented on a change in pull request #8566: optimize broadcast URL: https://github.com/apache/incubator-mxnet/pull/8566#discussion_r149823235 ## File path: src/operator/mxnet_op.h ## @@ -345,6 +394,13 @@ __global__ void mxnet_generic_kernel(int N, Args... args)

[incubator-mxnet] branch master updated: reimplement cross-entropy operator in recommender example with NDArray (#8588)

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 6da0472 reimplement cross-entropy

[GitHub] piiswrong closed pull request #8588: reimplement cross-entropy operator in recommender example with NDArray

piiswrong closed pull request #8588: reimplement cross-entropy operator in recommender example with NDArray URL: https://github.com/apache/incubator-mxnet/pull/8588 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the

[incubator-mxnet] branch master updated: gluon with multiple data type (#8522)

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 8dc09ec gluon with multiple data type

[GitHub] piiswrong closed pull request #8522: gluon with multiple data type

piiswrong closed pull request #8522: gluon with multiple data type URL: https://github.com/apache/incubator-mxnet/pull/8522 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] anirudh2290 commented on issue #8592: Simple bind doesnt infer the provided stype for non default stypes

anirudh2290 commented on issue #8592: Simple bind doesnt infer the provided stype for non default stypes URL: https://github.com/apache/incubator-mxnet/issues/8592#issuecomment-342988942 @eric-haibin-lin This is an

[GitHub] anirudh2290 opened a new issue #8592: Simple bind doesnt infer the provided stype for non default stypes

anirudh2290 opened a new issue #8592: Simple bind doesnt infer the provided stype for non default stypes URL: https://github.com/apache/incubator-mxnet/issues/8592 ## Description Simple bind doesn't infer the provided stype for non default stypes ## Environment info (Required)

[GitHub] zhreshold commented on issue #8338: master branch cannot build on centos 7 with cuda-8.0

zhreshold commented on issue #8338: master branch cannot build on centos 7 with cuda-8.0 URL: https://github.com/apache/incubator-mxnet/issues/8338#issuecomment-342985714 @mseeger Have you figured out what is the cause of this problem? I encountered exactly same error during CI

[GitHub] piiswrong closed pull request #8558: slice operator supporting arbitrary values of step

piiswrong closed pull request #8558: slice operator supporting arbitrary values of step URL: https://github.com/apache/incubator-mxnet/pull/8558 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

[incubator-mxnet] branch master updated: slice operator supporting arbitrary values of step (#8558)

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 70b68b1 slice operator supporting

[GitHub] tz-hmc commented on issue #8591: How do I make a siamese network with pretrained models (esp. keeping the weights the same?)

tz-hmc commented on issue #8591: How do I make a siamese network with pretrained models (esp. keeping the weights the same?) URL: https://github.com/apache/incubator-mxnet/issues/8591#issuecomment-342970864 Wow, I didn't know that API existed. I had a lot of trouble trying to make it

[GitHub] tz-hmc commented on issue #8591: How do I make a siamese network with pretrained models (esp. keeping the weights the same?)

tz-hmc commented on issue #8591: How do I make a siamese network with pretrained models (esp. keeping the weights the same?) URL: https://github.com/apache/incubator-mxnet/issues/8591#issuecomment-342970864 I had a lot of trouble trying to make it work with the module API. But the Gluon

[GitHub] edmBernard commented on issue #8591: How do I make a siamese network with pretrained models (esp. keeping the weights the same?)

edmBernard commented on issue #8591: How do I make a siamese network with pretrained models (esp. keeping the weights the same?) URL: https://github.com/apache/incubator-mxnet/issues/8591#issuecomment-342959619 I got a similar problem and achieve to got several solutions:

[GitHub] zhreshold commented on issue #8589: [Discussion] Data Pipeline Intermediate Representation in MXNet/NNVM

zhreshold commented on issue #8589: [Discussion] Data Pipeline Intermediate Representation in MXNet/NNVM URL: https://github.com/apache/incubator-mxnet/issues/8589#issuecomment-342957255 Data preprocessing operator is under dev, until then it's hard to pack data pipeline into graph.

[GitHub] zhreshold commented on issue #8546: What's the equivalent of np.where()?

zhreshold commented on issue #8546: What's the equivalent of np.where()? URL: https://github.com/apache/incubator-mxnet/issues/8546#issuecomment-342956240 Not sure how you would do with the cls_scores, if you can continue use masks, then nd.where is good, if you would like to strip out

[GitHub] jingpengw commented on issue #6872: HDF5 DataIter Python

jingpengw commented on issue #6872: HDF5 DataIter Python URL: https://github.com/apache/incubator-mxnet/issues/6872#issuecomment-342935141 @xiaogehh I think the provide_data function was required and used by mxnet dataprovider. Whenever you create a new data iter, you need to define

[GitHub] eric-haibin-lin closed issue #8590: the error:mshadow::cuda::AddTakeGrad' : ambiguous call to overloaded function indexing_op.h

eric-haibin-lin closed issue #8590: the error:mshadow::cuda::AddTakeGrad' : ambiguous call to overloaded function indexing_op.h URL: https://github.com/apache/incubator-mxnet/issues/8590 This is an automated message from

[GitHub] rahul003 closed pull request #8507: Passing user specified environment variables when using launch.py

rahul003 closed pull request #8507: Passing user specified environment variables when using launch.py URL: https://github.com/apache/incubator-mxnet/pull/8507 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] zhreshold commented on issue #8582: Yolo2 operator

zhreshold commented on issue #8582: Yolo2 operator URL: https://github.com/apache/incubator-mxnet/pull/8582#issuecomment-342920908 @sbodenstein Yes, I agree with your comments. I am working on object detection operators decomposed and implemented using gluon blocks/nnvm operators that is

[GitHub] sbodenstein commented on issue #8582: Yolo2 operator

sbodenstein commented on issue #8582: Yolo2 operator URL: https://github.com/apache/incubator-mxnet/pull/8582#issuecomment-342901844 One issue for us: this layer is an 'output layer' and hence doesn't support out grads into the layer. This is an unfortunate restriction, as it rules out

[GitHub] loweew commented on issue #7933: CoreML conversion with finetuned model

loweew commented on issue #7933: CoreML conversion with finetuned model URL: https://github.com/apache/incubator-mxnet/issues/7933#issuecomment-342895535 any update here? do you need me to provide a model for you to move forward?

[GitHub] cjolivier01 commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support

cjolivier01 commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support URL: https://github.com/apache/incubator-mxnet/pull/8572#discussion_r149741904 ## File path: cmake/FirstCuda.cmake ## @@ -0,0 +1,233 @@ +# Licensed to the

[GitHub] cjolivier01 commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support

cjolivier01 commented on a change in pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support URL: https://github.com/apache/incubator-mxnet/pull/8572#discussion_r149741331 ## File path: CMakeLists.txt ## @@ -128,14 +152,20 @@ endif()

[GitHub] ShownX commented on issue #8193: add center loss

ShownX commented on issue #8193: add center loss URL: https://github.com/apache/incubator-mxnet/pull/8193#issuecomment-342884841 changes made here: https://github.com/ShownX/mxnet-center-loss. Closed. This is an automated

[GitHub] ShownX closed pull request #8193: add center loss

ShownX closed pull request #8193: add center loss URL: https://github.com/apache/incubator-mxnet/pull/8193 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

[GitHub] aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions

aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions URL: https://github.com/apache/incubator-mxnet/pull/8578#discussion_r149700972 ## File path: DEVELOPMENT.md ## @@ -0,0 +1,69 @@ +# Developing MXNet

[GitHub] aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions

aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions URL: https://github.com/apache/incubator-mxnet/pull/8578#discussion_r149698522 ## File path: DEVELOPMENT.md ## @@ -0,0 +1,69 @@ +# Developing MXNet

[GitHub] aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions

aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions URL: https://github.com/apache/incubator-mxnet/pull/8578#discussion_r149697872 ## File path: DEVELOPMENT.md ## @@ -0,0 +1,69 @@ +# Developing MXNet

[GitHub] aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions

aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions URL: https://github.com/apache/incubator-mxnet/pull/8578#discussion_r149698741 ## File path: DEVELOPMENT.md ## @@ -0,0 +1,69 @@ +# Developing MXNet

[GitHub] aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions

aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions URL: https://github.com/apache/incubator-mxnet/pull/8578#discussion_r149699813 ## File path: DEVELOPMENT.md ## @@ -0,0 +1,69 @@ +# Developing MXNet

[GitHub] aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions

aaronmarkham commented on a change in pull request #8578: Add development instructions and update installation instructions URL: https://github.com/apache/incubator-mxnet/pull/8578#discussion_r149696564 ## File path: docs/install/index.md ## @@ -65,36 +65,37 @@ Indicate

[GitHub] szha commented on issue #5837: Error caused by two different dependencies in protobuf version when using both distributed mode and tensorboard

szha commented on issue #5837: Error caused by two different dependencies in protobuf version when using both distributed mode and tensorboard URL: https://github.com/apache/incubator-mxnet/issues/5837#issuecomment-342802907 This issue is closed due to lack of activity in the last 90

[GitHub] szha commented on issue #6999: bgr or rgb input to vgg16?

szha commented on issue #6999: bgr or rgb input to vgg16? URL: https://github.com/apache/incubator-mxnet/issues/6999#issuecomment-342802911 This issue is closed due to lack of activity in the last 90 days. Feel free to ping me to reopen if this is still an active issue. Thanks! Also,

[GitHub] szha closed issue #6999: bgr or rgb input to vgg16?

szha closed issue #6999: bgr or rgb input to vgg16? URL: https://github.com/apache/incubator-mxnet/issues/6999 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use

[GitHub] szha closed issue #5837: Error caused by two different dependencies in protobuf version when using both distributed mode and tensorboard

szha closed issue #5837: Error caused by two different dependencies in protobuf version when using both distributed mode and tensorboard URL: https://github.com/apache/incubator-mxnet/issues/5837 This is an automated

[GitHub] ZiyueHuang commented on a change in pull request #8259: check_format of sparse ndrray

ZiyueHuang commented on a change in pull request #8259: check_format of sparse ndrray URL: https://github.com/apache/incubator-mxnet/pull/8259#discussion_r149650525 ## File path: src/common/utils.h ## @@ -43,9 +43,170 @@ #include #include +#include

[GitHub] larroy commented on issue #8554: Disable long running tests

larroy commented on issue #8554: Disable long running tests URL: https://github.com/apache/incubator-mxnet/pull/8554#issuecomment-342789057 I think this is a good approach. I would like to see this merged. >30s or too high of resource consumption for a unit test is not acceptable.

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

dmas-at-wiris 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-342776563 @piiswrong Any ETA for this feature? This

[GitHub] KellenSunderland commented on issue #8554: Disable long running tests

KellenSunderland commented on issue #8554: Disable long running tests URL: https://github.com/apache/incubator-mxnet/pull/8554#issuecomment-342756833 @piiswrong I think having a multi-stage approach to speeding up tests is going to be the best way to make progress here. This first stage

[GitHub] KellenSunderland commented on a change in pull request #8582: Yolo2 operator

KellenSunderland commented on a change in pull request #8582: Yolo2 operator URL: https://github.com/apache/incubator-mxnet/pull/8582#discussion_r149613155 ## File path: src/operator/contrib/yolo_output-inl.h ## @@ -0,0 +1,702 @@ +/* + * Licensed to the Apache Software

[GitHub] KellenSunderland commented on issue #8554: Disable long running tests

KellenSunderland commented on issue #8554: Disable long running tests URL: https://github.com/apache/incubator-mxnet/pull/8554#issuecomment-342756833 @piiswrong I think having a multi-stage approach to speeding up tests is going to be the best way to make progress here. This first stage

[GitHub] KellenSunderland commented on issue #8554: Disable long running tests

KellenSunderland commented on issue #8554: Disable long running tests URL: https://github.com/apache/incubator-mxnet/pull/8554#issuecomment-342756833 @piiswrong I think having a multi-stage approach to speeding up tests is going to be the best way to make progress here. This first stage

[GitHub] KellenSunderland commented on issue #8554: Disable long running tests

KellenSunderland commented on issue #8554: Disable long running tests URL: https://github.com/apache/incubator-mxnet/pull/8554#issuecomment-342756833 @piiswrong I think having a multi-stage approach to speeding up tests is going to be the best way to make progress here. This first stage

[GitHub] Jing-Luo commented on issue #1356: override global initialization method in layer configuration

Jing-Luo commented on issue #1356: override global initialization method in layer configuration URL: https://github.com/apache/incubator-mxnet/issues/1356#issuecomment-342756881 ``` init = mx.initializer.Mixed(['bias', '.*'], [mx.init.Zero(), mx.init.Xavier(magnitude=2.24)])

[GitHub] Jing-Luo commented on issue #1356: override global initialization method in layer configuration

Jing-Luo commented on issue #1356: override global initialization method in layer configuration URL: https://github.com/apache/incubator-mxnet/issues/1356#issuecomment-342756881 ``` init = mx.initializer.Mixed(['bias', '.*'], [mx.init.Zero(), mx.init.Xavier(magnitude=2.24)])

[GitHub] KellenSunderland commented on issue #8554: Disable long running tests

KellenSunderland commented on issue #8554: Disable long running tests URL: https://github.com/apache/incubator-mxnet/pull/8554#issuecomment-342756833 @piiswrong I think having a multi-stage approach to speeding up tests is going to be the best way to make progress here. This first stage

[GitHub] 994088895 commented on issue #8590: the error:mshadow::cuda::AddTakeGrad' : ambiguous call to overloaded function indexing_op.h

994088895 commented on issue #8590: the error:mshadow::cuda::AddTakeGrad' : ambiguous call to overloaded function indexing_op.h URL: https://github.com/apache/incubator-mxnet/issues/8590#issuecomment-342756960 Thank you, I have resoved it. It seems that I wrongly used the 'git clone

[GitHub] KellenSunderland commented on issue #8554: Disable long running tests

KellenSunderland commented on issue #8554: Disable long running tests URL: https://github.com/apache/incubator-mxnet/pull/8554#issuecomment-342756833 @piiswrong I think having a multi-stage approach to speeding up tests is going to be the best way to make progress here. This first stage

[GitHub] qxde01 commented on issue #8234: A bug in VGG_FC_ILSVRC_16_layers-symbol.json

qxde01 commented on issue #8234: A bug in VGG_FC_ILSVRC_16_layers-symbol.json URL: https://github.com/apache/incubator-mxnet/issues/8234#issuecomment-342753475 I catched an error of VGG_FC_ILSVRC_16_layers? `Traceback (most recent call last):` `File "", line 1, in ` `File

[GitHub] qxde01 commented on issue #8234: A bug in VGG_FC_ILSVRC_16_layers-symbol.json

qxde01 commented on issue #8234: A bug in VGG_FC_ILSVRC_16_layers-symbol.json URL: https://github.com/apache/incubator-mxnet/issues/8234#issuecomment-342753475 I also catched this error of VGG_FC_ILSVRC_16_layers? `Traceback (most recent call last):` `File "", line 1, in `

[GitHub] qxde01 commented on issue #8234: A bug in VGG_FC_ILSVRC_16_layers-symbol.json

qxde01 commented on issue #8234: A bug in VGG_FC_ILSVRC_16_layers-symbol.json URL: https://github.com/apache/incubator-mxnet/issues/8234#issuecomment-342753475 I also catched this error of VGG_FC_ILSVRC_16_layers? `Traceback (most recent call last):` `File "", line 1, in `

[GitHub] asmushetzel commented on a change in pull request #8577: support for lapack functions with mkl

asmushetzel commented on a change in pull request #8577: support for lapack functions with mkl URL: https://github.com/apache/incubator-mxnet/pull/8577#discussion_r149604263 ## File path: src/operator/c_lapack_api.h ## @@ -160,7 +162,73 @@ inline void flip

[GitHub] asmushetzel commented on a change in pull request #8577: support for lapack functions with mkl

asmushetzel commented on a change in pull request #8577: support for lapack functions with mkl URL: https://github.com/apache/incubator-mxnet/pull/8577#discussion_r149603534 ## File path: src/operator/c_lapack_api.h ## @@ -271,6 +339,9 @@ inline void flip(int

[GitHub] asmushetzel commented on a change in pull request #8577: support for lapack functions with mkl

asmushetzel commented on a change in pull request #8577: support for lapack functions with mkl URL: https://github.com/apache/incubator-mxnet/pull/8577#discussion_r149603492 ## File path: src/operator/c_lapack_api.h ## @@ -160,7 +162,73 @@ inline void flip

[GitHub] asmushetzel commented on a change in pull request #8577: support for lapack functions with mkl

asmushetzel commented on a change in pull request #8577: support for lapack functions with mkl URL: https://github.com/apache/incubator-mxnet/pull/8577#discussion_r149603408 ## File path: make/config.mk ## @@ -105,6 +105,12 @@ USE_LAPACK = 1 # path to lapack library in

[GitHub] SumNeuron commented on issue #7900: Request: finish python gpu enabled guide for install

SumNeuron commented on issue #7900: Request: finish python gpu enabled guide for install URL: https://github.com/apache/incubator-mxnet/issues/7900#issuecomment-342745203 it did, but I just went and removed all mxnet files and reinstalled via pip. Seems to work now. Sorry :)

[GitHub] SumNeuron closed issue #7900: Request: finish python gpu enabled guide for install

SumNeuron closed issue #7900: Request: finish python gpu enabled guide for install URL: https://github.com/apache/incubator-mxnet/issues/7900 This is an automated message from the Apache Git Service. To respond to the

[GitHub] szha commented on issue #7900: Request: finish python gpu enabled guide for install

szha commented on issue #7900: Request: finish python gpu enabled guide for install URL: https://github.com/apache/incubator-mxnet/issues/7900#issuecomment-342744184 Does it show any other error, such as "libxxx not found"?

[GitHub] SumNeuron commented on issue #7900: Request: finish python gpu enabled guide for install

SumNeuron commented on issue #7900: Request: finish python gpu enabled guide for install URL: https://github.com/apache/incubator-mxnet/issues/7900#issuecomment-342743473 If I remove the director mxnet loads, but then it says things like ``` import mxnet as mx from mxnet

[GitHub] SumNeuron commented on issue #7900: Request: finish python gpu enabled guide for install

SumNeuron commented on issue #7900: Request: finish python gpu enabled guide for install URL: https://github.com/apache/incubator-mxnet/issues/7900#issuecomment-342742633 I dont think so. How would I check for this? This is

[GitHub] szha commented on issue #7900: Request: finish python gpu enabled guide for install

szha commented on issue #7900: Request: finish python gpu enabled guide for install URL: https://github.com/apache/incubator-mxnet/issues/7900#issuecomment-342742311 Sorry for missing on this. From the error it looks like your python is trying to load from `/home/sumner/mxnet/`, which

[GitHub] SumNeuron commented on issue #7900: Request: finish python gpu enabled guide for install

SumNeuron commented on issue #7900: Request: finish python gpu enabled guide for install URL: https://github.com/apache/incubator-mxnet/issues/7900#issuecomment-342741096 @szha this error is still presistent for `pip3 install --pre mxnet-cu90`

[GitHub] SumNeuron opened a new issue #7900: Request: finish python gpu enabled guide for install

SumNeuron opened a new issue #7900: Request: finish python gpu enabled guide for install URL: https://github.com/apache/incubator-mxnet/issues/7900 Please complete the python GPU enabled install for MacOS. This guide is complete / following it to complete results in errors.