[GitHub] kohillyang opened a new issue #8614: Does mxnet.symbol.SoftmaxOutput support matrix label?

kohillyang opened a new issue #8614: Does mxnet.symbol.SoftmaxOutput support matrix label? URL: https://github.com/apache/incubator-mxnet/issues/8614 Assume I have several Matrix classes, they are mutually exclusive, which means that the sum of them must be a matrix whose all items is 1.

[GitHub] cjolivier01 commented on issue #8599: Pull more optimize and simplification changes from tuner branch

cjolivier01 commented on issue #8599: Pull more optimize and simplification changes from tuner branch URL: https://github.com/apache/incubator-mxnet/pull/8599#issuecomment-343376929 I am doing rebase, no idea why it is showing baaafc5

[GitHub] stoneyang commented on issue #1217: Resume training failed

stoneyang commented on issue #1217: Resume training failed URL: https://github.com/apache/incubator-mxnet/issues/1217#issuecomment-343637129 Thanks for sharing your experience! @fengjunlv This is an automated message from

[GitHub] ZiyueHuang commented on issue #8259: check_format of sparse ndrray

ZiyueHuang commented on issue #8259: check_format of sparse ndrray URL: https://github.com/apache/incubator-mxnet/pull/8259#issuecomment-343634820 The result err number will be returned to `SyncCheckFormat` in ndarray.cc and do the check there. `CheckFormatImpl` can be used in other OPs in

[incubator-mxnet] branch master updated: use first class cuda with cmake 3.9 and cuda9.0 support (#8572)

This is an automated email from the ASF dual-hosted git repository. cjolivier01 pushed a commit to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/master by this push: new 35ceea7 use first class cuda

[GitHub] cjolivier01 closed pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support

cjolivier01 closed pull request #8572: use first class cuda with cmake 3.9 and cuda9.0 support URL: https://github.com/apache/incubator-mxnet/pull/8572 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] ZiyueHuang commented on issue #8259: check_format of sparse ndrray

ZiyueHuang commented on issue #8259: check_format of sparse ndrray URL: https://github.com/apache/incubator-mxnet/pull/8259#issuecomment-343634820 The result err number will be returned to SyncCheckFormat in ndarray.cc and do the check there. CheckFormatImpl can be used in other OPs in

[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_r150372061 ## File path: src/common/utils.h ## @@ -43,9 +43,177 @@ #include #include +#include

[GitHub] ZiyueHuang commented on a change in pull request #8611: optimization for dot(csr.T, dense) = rsp

ZiyueHuang commented on a change in pull request #8611: optimization for dot(csr.T, dense) = rsp URL: https://github.com/apache/incubator-mxnet/pull/8611#discussion_r150371782 ## File path: src/operator/tensor/dot-inl.h ## @@ -598,40 +614,52 @@ inline void

[GitHub] thirdwing closed pull request #8121: [R] Initializer fix and adjustments to RNN API

thirdwing closed pull request #8121: [R] Initializer fix and adjustments to RNN API URL: https://github.com/apache/incubator-mxnet/pull/8121 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: [R] Initializer fix and adjustments to RNN API (#8121)

This is an automated email from the ASF dual-hosted git repository. qkou 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 5c8981a [R] Initializer fix and

[GitHub] yajiedesign commented on issue #8572: use first class cuda with cmake 3.9 and cuda9.0 support

yajiedesign commented on issue #8572: use first class cuda with cmake 3.9 and cuda9.0 support URL: https://github.com/apache/incubator-mxnet/pull/8572#issuecomment-343631038 yes This is an automated message from the Apache

[GitHub] rahul003 commented on issue #8578: Add development instructions and update installation instructions

rahul003 commented on issue #8578: Add development instructions and update installation instructions URL: https://github.com/apache/incubator-mxnet/pull/8578#issuecomment-343625788 How much better is it to use cmake+ninja vs make on ubuntu? In terms of speed

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

sxjscience 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-343627954 @asmushetzel This makes sense to me. This is an

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

asmushetzel 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-343625693 I suppose this is still about this one:

[GitHub] rahul003 commented on issue #8578: Add development instructions and update installation instructions

rahul003 commented on issue #8578: Add development instructions and update installation instructions URL: https://github.com/apache/incubator-mxnet/pull/8578#issuecomment-343625788 How much better is it to use cmake+ninja vs make on ubuntu?

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

asmushetzel 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-343625693 I suppose this is still about this one:

[GitHub] mbaijal opened a new pull request #8613: [EXPERIMENT] increasing build timeout to 24hrs

mbaijal opened a new pull request #8613: [EXPERIMENT] increasing build timeout to 24hrs URL: https://github.com/apache/incubator-mxnet/pull/8613 ## Description ## All builds are timing out in the build queue since the number of ubuntu slaves is less. Ideally this timeout is meant

[GitHub] zhreshold commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs

zhreshold commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs URL: https://github.com/apache/incubator-mxnet/pull/8603#discussion_r150365483 ## File path: src/operator/contrib/bounding_box.cc ## @@ -0,0 +1,194 @@

[GitHub] szha commented on issue #7431: AttributeError: 'module' object has no attribute 'stack'

szha commented on issue #7431: AttributeError: 'module' object has no attribute 'stack' URL: https://github.com/apache/incubator-mxnet/issues/7431#issuecomment-343621970 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

[GitHub] szha commented on issue #4696: run errors

szha commented on issue #4696: run errors URL: https://github.com/apache/incubator-mxnet/issues/4696#issuecomment-343621976 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, do please check

[GitHub] szha closed issue #4696: run errors

szha closed issue #4696: run errors URL: https://github.com/apache/incubator-mxnet/issues/4696 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above

[GitHub] szha commented on issue #7384: Parameter 'dtype' in the function 'ImageRecordIter' doesn't work

szha commented on issue #7384: Parameter 'dtype' in the function 'ImageRecordIter' doesn't work URL: https://github.com/apache/incubator-mxnet/issues/7384#issuecomment-343621973 This issue is closed due to lack of activity in the last 90 days. Feel free to ping me to reopen if this is

[GitHub] szha closed issue #7431: AttributeError: 'module' object has no attribute 'stack'

szha closed issue #7431: AttributeError: 'module' object has no attribute 'stack' URL: https://github.com/apache/incubator-mxnet/issues/7431 This is an automated message from the Apache Git Service. To respond to the

[GitHub] szha closed issue #7384: Parameter 'dtype' in the function 'ImageRecordIter' doesn't work

szha closed issue #7384: Parameter 'dtype' in the function 'ImageRecordIter' doesn't work URL: https://github.com/apache/incubator-mxnet/issues/7384 This is an automated message from the Apache Git Service. To respond to

[incubator-mxnet] branch master updated: Fix for "name epochs is not defined" (#8399)

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 582e14c Fix for "name epochs is not

[GitHub] piiswrong closed pull request #8399: Fix for "name epochs is not defined"

piiswrong closed pull request #8399: Fix for "name epochs is not defined" URL: https://github.com/apache/incubator-mxnet/pull/8399 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] piiswrong commented on issue #8610: How to resize the image to same shape in ImageRecordIter?

piiswrong commented on issue #8610: How to resize the image to same shape in ImageRecordIter? URL: https://github.com/apache/incubator-mxnet/issues/8610#issuecomment-343618547 imagerecorditer has a resize parameter. Use it to resize the image to a bigger size then crop size first

[GitHub] sxjscience commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs

sxjscience commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs URL: https://github.com/apache/incubator-mxnet/pull/8603#discussion_r150362562 ## File path: src/operator/contrib/bounding_box-inl.h ## @@ -0,0

[GitHub] zhreshold commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs

zhreshold commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs URL: https://github.com/apache/incubator-mxnet/pull/8603#discussion_r150362100 ## File path: src/operator/contrib/bounding_box-inl.h ## @@ -0,0 +1,730

[GitHub] piiswrong commented on issue #8259: check_format of sparse ndrray

piiswrong commented on issue #8259: check_format of sparse ndrray URL: https://github.com/apache/incubator-mxnet/pull/8259#issuecomment-343615517 How is the check result returned? Is the behavior consistent with scipy? This

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

piiswrong commented on a change in pull request #8259: check_format of sparse ndrray URL: https://github.com/apache/incubator-mxnet/pull/8259#discussion_r150360872 ## File path: src/common/utils.h ## @@ -43,9 +43,177 @@ #include #include +#include

[incubator-mxnet] branch master updated: support for lapack functions with mkl (#8577)

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 00ddcf4 support for lapack functions

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

piiswrong commented on a change in pull request #8577: support for lapack functions with mkl URL: https://github.com/apache/incubator-mxnet/pull/8577#discussion_r150360534 ## File path: src/operator/c_lapack_api.h ## @@ -160,7 +162,75 @@ inline void flip(int

[GitHub] piiswrong closed pull request #8577: support for lapack functions with mkl

piiswrong closed pull request #8577: support for lapack functions with mkl URL: https://github.com/apache/incubator-mxnet/pull/8577 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] jeremiedb commented on issue #8545: Incorrect results from R 3.4.2 in MNIST

jeremiedb commented on issue #8545: Incorrect results from R 3.4.2 in MNIST URL: https://github.com/apache/incubator-mxnet/issues/8545#issuecomment-343611371 Yes #8121 will fix this problem. This is an automated message from

[GitHub] jeremiedb commented on a change in pull request #8121: [R] Initializer fix and adjustments to RNN API

jeremiedb commented on a change in pull request #8121: [R] Initializer fix and adjustments to RNN API URL: https://github.com/apache/incubator-mxnet/pull/8121#discussion_r150357674 ## File path: R-package/R/initializer.R ## @@ -4,11 +4,11 @@ #' @param shape the shape of

[GitHub] sxjscience commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs

sxjscience commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs URL: https://github.com/apache/incubator-mxnet/pull/8603#discussion_r150357652 ## File path: src/operator/contrib/bounding_box-inl.h ## @@ -0,0

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

eric-haibin-lin commented on issue #8611: optimization for dot(csr.T, dense) = rsp URL: https://github.com/apache/incubator-mxnet/pull/8611#issuecomment-343603981 Yes, the original dot(csr.T, dense) performance is not good. The same for scipy - it's not always faster than the dense dot

[GitHub] eric-haibin-lin commented on a change in pull request #8611: optimization for dot(csr.T, dense) = rsp

eric-haibin-lin commented on a change in pull request #8611: optimization for dot(csr.T, dense) = rsp URL: https://github.com/apache/incubator-mxnet/pull/8611#discussion_r150351688 ## File path: src/operator/tensor/dot-inl.h ## @@ -598,40 +614,52 @@ inline void

[GitHub] eric-haibin-lin commented on a change in pull request #8611: optimization for dot(csr.T, dense) = rsp

eric-haibin-lin commented on a change in pull request #8611: optimization for dot(csr.T, dense) = rsp URL: https://github.com/apache/incubator-mxnet/pull/8611#discussion_r150351336 ## File path: src/operator/tensor/dot-inl.h ## @@ -573,6 +577,18 @@ inline void

[GitHub] thirdwing commented on issue #8545: Incorrect results from R 3.4.2 in MNIST

thirdwing commented on issue #8545: Incorrect results from R 3.4.2 in MNIST URL: https://github.com/apache/incubator-mxnet/issues/8545#issuecomment-343598024 https://github.com/apache/incubator-mxnet/pull/8121 will also fix this, right? @jeremiedb

[GitHub] thirdwing commented on issue #8575: mxnet multicore on LInux in R

thirdwing commented on issue #8575: mxnet multicore on LInux in R URL: https://github.com/apache/incubator-mxnet/issues/8575#issuecomment-343597753 Please provide a reproducible example. This is an automated message from the

[GitHub] thirdwing commented on issue #8121: [R] Initializer fix and adjustments to RNN API

thirdwing commented on issue #8121: [R] Initializer fix and adjustments to RNN API URL: https://github.com/apache/incubator-mxnet/pull/8121#issuecomment-343597558 @jeremiedb Sorry for the long delay. Just a minor question.

[GitHub] thirdwing commented on a change in pull request #8121: [R] Initializer fix and adjustments to RNN API

thirdwing commented on a change in pull request #8121: [R] Initializer fix and adjustments to RNN API URL: https://github.com/apache/incubator-mxnet/pull/8121#discussion_r150346131 ## File path: R-package/R/initializer.R ## @@ -4,11 +4,11 @@ #' @param shape the shape of

[GitHub] piiswrong opened a new pull request #8612: generalize array dataset

piiswrong opened a new pull request #8612: generalize array dataset URL: https://github.com/apache/incubator-mxnet/pull/8612 ## Description ## (Brief description on what this PR is about) ## Checklist ## ### Essentials ### - [ ] Passed code style checking (`make lint`) -

[GitHub] cjolivier01 commented on a change in pull request #8302: Refactor operators

cjolivier01 commented on a change in pull request #8302: Refactor operators URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r150338088 ## File path: src/operator/nn/batch_norm.cc ## @@ -313,45 +314,76 @@ void BatchNormOp

[GitHub] piiswrong closed pull request #8539: expose group2ctx to module

piiswrong closed pull request #8539: expose group2ctx to module URL: https://github.com/apache/incubator-mxnet/pull/8539 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: expose group2ctx to module (#8539)

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 c9bde1b expose group2ctx to module

[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_r150332277 ## File path: src/operator/mxnet_op.h ## @@ -345,6 +394,13 @@ __global__ void mxnet_generic_kernel(int N, Args... args)

[GitHub] zheng-da commented on a change in pull request #8302: Refactor operators

zheng-da commented on a change in pull request #8302: Refactor operators URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r150330094 ## File path: src/operator/nn/fully_connected-inl.h ## @@ -176,124 +162,80 @@ class FullyConnectedOp : public Operator {

[incubator-mxnet] branch master updated: Update PR & Issue Template (#8555)

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 97e7015 Update PR & Issue Template

[GitHub] piiswrong closed pull request #8555: Update PR & Issue Template

piiswrong closed pull request #8555: Update PR & Issue Template URL: https://github.com/apache/incubator-mxnet/pull/8555 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] reminisce commented on issue #8246: Continued Work on Advanced Indexing

reminisce commented on issue #8246: Continued Work on Advanced Indexing URL: https://github.com/apache/incubator-mxnet/pull/8246#issuecomment-343549343 @piiswrong @eric-haibin-lin @szha I added support for `__setitem__` and simplified basic and advanced indexing dispatching logic. Please

[GitHub] zhreshold commented on issue #8603: Contrib operators for object-detection bounding box related stuffs

zhreshold commented on issue #8603: Contrib operators for object-detection bounding box related stuffs URL: https://github.com/apache/incubator-mxnet/pull/8603#issuecomment-343542184 @sbodenstein Functionally, yes, but not identical api. This one provide more options. Do you have a

[GitHub] fungtion opened a new issue #4159: How to bind 3 inputs using mxnet.io.NDArrayIter?

fungtion opened a new issue #4159: How to bind 3 inputs using mxnet.io.NDArrayIter? URL: https://github.com/apache/incubator-mxnet/issues/4159 For bugs or installation issues, please provide the following information. The more information you provide, the more likely people will be able

[GitHub] ptrendx commented on issue #8600: How many new data points does data augmentation with mx.io.ImageRecordIter produce?

ptrendx commented on issue #8600: How many new data points does data augmentation with mx.io.ImageRecordIter produce? URL: https://github.com/apache/incubator-mxnet/issues/8600#issuecomment-343538346 Augmentations do not increase the size of your dataset explicitly. How it works is that

[GitHub] ZiyueHuang opened a new pull request #8611: optimization for dot(csr.T, dense) = rsp

ZiyueHuang opened a new pull request #8611: optimization for dot(csr.T, dense) = rsp URL: https://github.com/apache/incubator-mxnet/pull/8611 ## Description ## Use prefix sum to compute `nnr` in order to allocate the row_sparse output. Currently `dot(csr.T, dense) = rsp` will

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

aidan-plenert-macdonald 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-343536911 If you want to share weights across the network, why not just use

[GitHub] kaylimekay commented on issue #7698: Second order gradient and Subgraph execution

kaylimekay commented on issue #7698: Second order gradient and Subgraph execution URL: https://github.com/apache/incubator-mxnet/pull/7698#issuecomment-343535842 Is there a list of operators that currently support the higher order gradients from grad()?

[GitHub] cjolivier01 commented on issue #8572: use first class cuda with cmake 3.9 and cuda9.0 support

cjolivier01 commented on issue #8572: use first class cuda with cmake 3.9 and cuda9.0 support URL: https://github.com/apache/incubator-mxnet/pull/8572#issuecomment-343533256 Is this ready to merge? This is an automated

[GitHub] jeremiedb commented on issue #8121: [R] Initializer fix and adjustments to RNN API

jeremiedb commented on issue #8121: [R] Initializer fix and adjustments to RNN API URL: https://github.com/apache/incubator-mxnet/pull/8121#issuecomment-343527120 @thirdwing Anytime remaining to fix? I thin this PR is important as no training process is currently broken by the initializer

[GitHub] anjishnu commented on issue #4159: How to bind 3 inputs using mxnet.io.NDArrayIter?

anjishnu commented on issue #4159: How to bind 3 inputs using mxnet.io.NDArrayIter? URL: https://github.com/apache/incubator-mxnet/issues/4159#issuecomment-343505909 I am also using a network architecture like OP which takes in 2 streams as input.

[GitHub] anjishnu commented on issue #4159: How to bind 3 inputs using mxnet.io.NDArrayIter?

anjishnu commented on issue #4159: How to bind 3 inputs using mxnet.io.NDArrayIter? URL: https://github.com/apache/incubator-mxnet/issues/4159#issuecomment-343505315 I just got this issue - > TypeError: Invalid type '' for x_2, should be NDArray, numpy.ndarray or h5py.Dataset

[GitHub] mstokes42 commented on issue #8601: Why is the accuracy overestimated?

mstokes42 commented on issue #8601: Why is the accuracy overestimated? URL: https://github.com/apache/incubator-mxnet/issues/8601#issuecomment-343499688 I figured out the problem was with my batch_size on the val_iter. The sample size was not a multiple of the batch size, so some samples

[GitHub] lilhope opened a new issue #8610: How to resize the image to same shape in ImageRecordIter?

lilhope opened a new issue #8610: How to resize the image to same shape in ImageRecordIter? URL: https://github.com/apache/incubator-mxnet/issues/8610 Hi, I have a set of images with various shapes and I write it to `.rec` file,and using `mx.io.ImageRecordIter` to load it. But I

[GitHub] mwunderlich opened a new issue #8609: git clone command wrong for Scala setup

mwunderlich opened a new issue #8609: git clone command wrong for Scala setup URL: https://github.com/apache/incubator-mxnet/issues/8609 The git clone command provided for the scala setup on OSX (on page https://mxnet.incubator.apache.org/install/osx_setup.html) seems to be wrong. When I

[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-343462534 One more comment on this PR: is there anyway of verifying that the gradient is correctly calculated?

[GitHub] szha closed issue #7420: simple_bind failed error

szha closed issue #7420: simple_bind failed error URL: https://github.com/apache/incubator-mxnet/issues/7420 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 #7422: Data provided by data_shapes don't match names specified by data_names

szha closed issue #7422: Data provided by data_shapes don't match names specified by data_names URL: https://github.com/apache/incubator-mxnet/issues/7422 This is an automated message from the Apache Git Service. To respond

[GitHub] szha closed issue #7414: why rnn train speed is not stable,sometims very slow?

szha closed issue #7414: why rnn train speed is not stable,sometims very slow? URL: https://github.com/apache/incubator-mxnet/issues/7414 This is an automated message from the Apache Git Service. To respond to the message,

[GitHub] szha commented on issue #7420: simple_bind failed error

szha commented on issue #7420: simple_bind failed error URL: https://github.com/apache/incubator-mxnet/issues/7420#issuecomment-343460770 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, do

[GitHub] szha commented on issue #7414: why rnn train speed is not stable,sometims very slow?

szha commented on issue #7414: why rnn train speed is not stable,sometims very slow? URL: https://github.com/apache/incubator-mxnet/issues/7414#issuecomment-343460773 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

[GitHub] szha commented on issue #7422: Data provided by data_shapes don't match names specified by data_names

szha commented on issue #7422: Data provided by data_shapes don't match names specified by data_names URL: https://github.com/apache/incubator-mxnet/issues/7422#issuecomment-343460775 This issue is closed due to lack of activity in the last 90 days. Feel free to ping me to reopen if this

[GitHub] wkcn commented on issue #8569: The conflict between MXNet and OpenCV

wkcn commented on issue #8569: The conflict between MXNet and OpenCV URL: https://github.com/apache/incubator-mxnet/issues/8569#issuecomment-343458075 @KellenSunderland Thank you! This is an automated message from the Apache

[GitHub] KellenSunderland commented on issue #8569: The conflict between MXNet and OpenCV

KellenSunderland commented on issue #8569: The conflict between MXNet and OpenCV URL: https://github.com/apache/incubator-mxnet/issues/8569#issuecomment-343442891 @wkcn Thanks, for the info. I think your description on the relation between the USE_GPERFTOOLS flag and the crash is clear.

[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-343438692 Wow. Thank you so much. Alright, this gives me a lot to think about. I'm really

[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_r150193519 ## File path: src/operator/c_lapack_api.h ## @@ -160,7 +162,75 @@ inline void flip

[GitHub] KellenSunderland commented on issue #8573: /usr/bin/ld: cannot find -lgtest ?

KellenSunderland commented on issue #8573: /usr/bin/ld: cannot find -lgtest ? URL: https://github.com/apache/incubator-mxnet/issues/8573#issuecomment-343424577 Hello @eLvErDe , looks like you're missing the gtest library on your system. The good news is it's quite easy to install.

[GitHub] wkcn commented on issue #8569: The conflict between MXNet and OpenCV

wkcn commented on issue #8569: The conflict between MXNet and OpenCV URL: https://github.com/apache/incubator-mxnet/issues/8569#issuecomment-343424178 @KellenSunderland The crash will occur too if importing cv2 after mxnet with `gperftools`. I set `USE_GPERFTOOLS = 0` and `USE_JEMALLOC

[GitHub] KellenSunderland commented on issue #8569: The conflict between MXNet and OpenCV

KellenSunderland commented on issue #8569: The conflict between MXNet and OpenCV URL: https://github.com/apache/incubator-mxnet/issues/8569#issuecomment-343421365 Out of curiosity, does the crash occur if you import cv2 after mxnet?

[GitHub] sbodenstein commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs

sbodenstein commented on a change in pull request #8603: Contrib operators for object-detection bounding box related stuffs URL: https://github.com/apache/incubator-mxnet/pull/8603#discussion_r150181423 ## File path: src/operator/contrib/bounding_box.cc ## @@ -0,0 +1,194

[GitHub] sbodenstein commented on issue #8603: Contrib operators for object-detection bounding box related stuffs

sbodenstein commented on issue #8603: Contrib operators for object-detection bounding box related stuffs URL: https://github.com/apache/incubator-mxnet/pull/8603#issuecomment-343414068 Is the NMS op consistent with TensorFlows

[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-343414021 @asmushetzel Hi Asmus, some people continue to have problems building on some CentOS setup that I cannot work on.

[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-343413652 Hello, I'd like to help, but I just cannot reproduce the error (given it is still the same as the one described

[GitHub] liumilan closed issue #8574: how to print debug log in gpu mode?

liumilan closed issue #8574: how to print debug log in gpu mode? URL: https://github.com/apache/incubator-mxnet/issues/8574 This is an automated message from the Apache Git Service. To respond to the message, please log on