[jira] [Updated] (MXNET-106) [ONNX] Adding ONNX Model zoo tests

2018-03-20 Thread Rajan (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rajan updated MXNET-106:

Summary: [ONNX] Adding ONNX Model zoo tests  (was: [ONNX] Fix Maxpool and 
BatchNorm operator.)

> [ONNX] Adding ONNX Model zoo tests
> --
>
> Key: MXNET-106
> URL: https://issues.apache.org/jira/browse/MXNET-106
> Project: Apache MXNet
>  Issue Type: Bug
>Reporter: Rajan
>Priority: Major
>  Time Spent: 2h 10m
>  Remaining Estimate: 0h
>
> Maxpool and BatchNorm tests are failing on onnx backed tests. Needs to be 
> fixed.



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[jira] [Updated] (MXNET-120) FP16 support for distributed training

2018-03-20 Thread Rahul Huilgol (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-120?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rahul Huilgol updated MXNET-120:

Status: In Progress  (was: To Do)

> FP16 support for distributed training
> -
>
> Key: MXNET-120
> URL: https://issues.apache.org/jira/browse/MXNET-120
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Rahul Huilgol
>Assignee: Rahul Huilgol
>Priority: Major
>




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[jira] [Created] (MXNET-120) FP16 support for distributed training

2018-03-20 Thread Rahul Huilgol (JIRA) 
Rahul Huilgol created MXNET-120:
---

 Summary: FP16 support for distributed training
 Key: MXNET-120
 URL: https://issues.apache.org/jira/browse/MXNET-120
 Project: Apache MXNet
  Issue Type: New Feature
Reporter: Rahul Huilgol






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[jira] [Assigned] (MXNET-120) FP16 support for distributed training

2018-03-20 Thread Rahul Huilgol (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-120?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rahul Huilgol reassigned MXNET-120:
---

Assignee: Rahul Huilgol

> FP16 support for distributed training
> -
>
> Key: MXNET-120
> URL: https://issues.apache.org/jira/browse/MXNET-120
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Rahul Huilgol
>Assignee: Rahul Huilgol
>Priority: Major
>




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[jira] [Updated] (MXNET-101) Float 16: Leaky ReLU

2018-03-20 Thread Hao Jin (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hao Jin updated MXNET-101:
--
Status: In Review  (was: In Progress)

> Float 16: Leaky ReLU
> 
>
> Key: MXNET-101
> URL: https://issues.apache.org/jira/browse/MXNET-101
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Hao Jin
>Assignee: Hao Jin
>Priority: Major
>  Time Spent: 50m
>  Remaining Estimate: 0h
>




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[jira] [Created] (MXNET-119) int64 support for tensor dimension sizes

2018-03-20 Thread Anirudh Subramanian (JIRA) 
Anirudh Subramanian created MXNET-119:
-

 Summary: int64 support for tensor dimension sizes
 Key: MXNET-119
 URL: https://issues.apache.org/jira/browse/MXNET-119
 Project: Apache MXNet
  Issue Type: New Feature
Reporter: Anirudh Subramanian


https://github.com/apache/incubator-mxnet/issues/10158



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[jira] [Commented] (MXNET-118) Add tutorial on data augmentation with masks

2018-03-20 Thread Thomas Lane (JIRA) 

[ 
https://issues.apache.org/jira/browse/MXNET-118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16407179#comment-16407179
 ] 

Thomas Lane commented on MXNET-118:
---

PR: https://github.com/apache/incubator-mxnet/pull/10178

> Add tutorial on data augmentation with masks
> 
>
> Key: MXNET-118
> URL: https://issues.apache.org/jira/browse/MXNET-118
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Thomas Lane
>Priority: Minor
>
> When we adjust the position of the base image as part of data augmentation, 
> we also need to apply exactly the same operation to the associated masks. An 
> example would be after applying a horizontal flip to the base image, we'd 
> need to also flip the mask, to preserve the correspondence between the base 
> image and mask.



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[jira] [Created] (MXNET-118) Add tutorial on data augmentation with masks

2018-03-20 Thread Thomas Lane (JIRA) 
Thomas Lane created MXNET-118:
-

 Summary: Add tutorial on data augmentation with masks
 Key: MXNET-118
 URL: https://issues.apache.org/jira/browse/MXNET-118
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Thomas Lane


When we adjust the position of the base image as part of data augmentation, we 
also need to apply exactly the same operation to the associated masks. An 
example would be after applying a horizontal flip to the base image, we'd need 
to also flip the mask, to preserve the correspondence between the base image 
and mask.



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[jira] [Created] (MXNET-117) Sparse broadcast operator

2018-03-20 Thread Hao Jin (JIRA) 
Hao Jin created MXNET-117:
-

 Summary: Sparse broadcast operator
 Key: MXNET-117
 URL: https://issues.apache.org/jira/browse/MXNET-117
 Project: Apache MXNet
  Issue Type: New Feature
Reporter: Hao Jin


Add sparse operator for broadcast_add/mul/div(csr, dense)



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[jira] [Updated] (MXNET-117) Sparse broadcast operator

2018-03-20 Thread Hao Jin (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-117?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hao Jin updated MXNET-117:
--
Assignee: Hao Jin
  Status: In Progress  (was: To Do)

> Sparse broadcast operator
> -
>
> Key: MXNET-117
> URL: https://issues.apache.org/jira/browse/MXNET-117
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Hao Jin
>Assignee: Hao Jin
>Priority: Major
>
> Add sparse operator for broadcast_add/mul/div(csr, dense)



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[jira] [Updated] (MXNET-92) Float 16: L2 Normalization

2018-03-20 Thread Chris Olivier (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-92?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Olivier updated MXNET-92:
---
Resolution: Fixed
Status: Done  (was: To Do)

> Float 16: L2 Normalization
> --
>
> Key: MXNET-92
> URL: https://issues.apache.org/jira/browse/MXNET-92
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: MXNet Engine
>Reporter: Chris Olivier
>Assignee: Hao Jin
>Priority: Major
>  Time Spent: 1h 40m
>  Remaining Estimate: 0h
>




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[jira] [Updated] (MXNET-92) Float 16: L2 Normalization

2018-03-20 Thread Chris Olivier (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-92?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Olivier updated MXNET-92:
---
Status: To Do  (was: In Progress)

> Float 16: L2 Normalization
> --
>
> Key: MXNET-92
> URL: https://issues.apache.org/jira/browse/MXNET-92
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: MXNet Engine
>Reporter: Chris Olivier
>Assignee: Hao Jin
>Priority: Major
>  Time Spent: 1h 40m
>  Remaining Estimate: 0h
>




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[jira] [Updated] (MXNET-89) Bucketing Module bug: #9405

2018-03-20 Thread Anirudh Subramanian (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-89?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Anirudh Subramanian updated MXNET-89:
-
Status: Done  (was: In Review)

> Bucketing Module bug: #9405
> ---
>
> Key: MXNET-89
> URL: https://issues.apache.org/jira/browse/MXNET-89
> Project: Apache MXNet
>  Issue Type: Bug
>  Components: MXNet Engine
>Reporter: Anirudh Subramanian
>Assignee: Anirudh Subramanian
>Priority: Minor
>  Time Spent: 50m
>  Remaining Estimate: 0h
>
> Please see: https://github.com/apache/incubator-mxnet/issues/9405



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[jira] [Updated] (MXNET-89) Bucketing Module bug: #9405

2018-03-20 Thread Anirudh Subramanian (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-89?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Anirudh Subramanian updated MXNET-89:
-
Status: In Review  (was: In Progress)

> Bucketing Module bug: #9405
> ---
>
> Key: MXNET-89
> URL: https://issues.apache.org/jira/browse/MXNET-89
> Project: Apache MXNet
>  Issue Type: Bug
>  Components: MXNet Engine
>Reporter: Anirudh Subramanian
>Assignee: Anirudh Subramanian
>Priority: Minor
>  Time Spent: 50m
>  Remaining Estimate: 0h
>
> Please see: https://github.com/apache/incubator-mxnet/issues/9405



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[jira] [Updated] (MXNET-100) Float 16: Correlation

2018-03-20 Thread Hao Jin (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hao Jin updated MXNET-100:
--
Status: Done  (was: In Review)

> Float 16: Correlation
> -
>
> Key: MXNET-100
> URL: https://issues.apache.org/jira/browse/MXNET-100
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Hao Jin
>Assignee: Hao Jin
>Priority: Major
>  Time Spent: 3h
>  Remaining Estimate: 0h
>




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[jira] [Created] (MXNET-116) Object Detector using classifier and ImageClassifier functions

2018-03-20 Thread ROSHANI NAGMOTE (JIRA) 
ROSHANI NAGMOTE created MXNET-116:
-

 Summary: Object Detector using classifier and ImageClassifier 
functions
 Key: MXNET-116
 URL: https://issues.apache.org/jira/browse/MXNET-116
 Project: Apache MXNet
  Issue Type: Sub-task
Reporter: ROSHANI NAGMOTE






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[jira] [Updated] (MXNET-115) USE_LAPACK is forced on all platforms with OpenBLAS and cmake

2018-03-20 Thread Anton Chernov (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Anton Chernov updated MXNET-115:

Description: 
When building with cmake, MXNET_USE_LAPACK is inappropriately forced on all 
platforms breaking the build if the library is not available.
{code:java}
tests/CMakeFiles/mxnet_unit_tests.dir/cpp/operator/krprod_test.cc.o: In 
function `mxnet_lapack_dposv':
/work/mxnet/src/operator/contrib/../c_lapack_api.h:260: undefined reference to 
`dposv_'
/work/mxnet/src/operator/contrib/../c_lapack_api.h:265: undefined reference to 
`dposv_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:286: undefined reference 
to `dgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:303: undefined reference 
to `dorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dpotri':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:235: undefined reference 
to `dpotri_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_spotri':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:234: undefined reference 
to `spotri_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dpotrf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:233: undefined reference 
to `dpotrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_spotrf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:232: undefined reference 
to `spotrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dsyevd':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_ssyevd':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:286: undefined reference 
to `dgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:303: undefined reference 
to `dorgqr_'
collect2: error: ld returned 1 exit status
{code}
The corresponding cmake override is in root 
[CMakeLists.txt|https://github.com/apache/incubator-mxnet/blob/master/CMakeLists.txt#L350-L359]:
{code:java}
# ---[ LAPack
if(USE_LAPACK AND NOT MSVC)
  add_definitions(-DMXNET_USE_LAPACK=1)
  list(APPEND mxnet_LINKER_LIBS lapack)
else(USE_LAPACK)
  # Workaround for Windows until using new Jenkinsfile.
  if(BLAS STREQUAL "Open" OR BLAS STREQUAL "open" OR USE_BLAS STREQUAL "Open" 
OR USE_BLAS STREQUAL "open")
add_definitions(-DMXNET_USE_LAPACK=1)
  endif()
endif()
{code}
This effectively forces the {{MXNET_USE_LAPACK}} define on all platforms 
(USE_LAPACK=OFF, MSVC=ON / USE_LAPACK=OFF, MSVC=OFF) if the intent was actually 
switching it off.

Right now the problem is that some python tests depend on the lapack functions.
h2. Possible solution

An API function should be introduced to tell the language binding if lapack (or 
corresponding operators) is available and the tests should be skipped if not.

  was:
When building with cmake, MXNET_USE_LAPACK is inappropriately forced on all 
platforms breaking the build if the library is not available.
{code}
tests/CMakeFiles/mxnet_unit_tests.dir/cpp/operator/krprod_test.cc.o: In 
function `mxnet_lapack_dposv':
/work/mxnet/src/operator/contrib/../c_lapack_api.h:260: undefined reference to 
`dposv_'
/work/mxnet/src/operator/contrib/../c_lapack_api.h:265: undefined reference to 
`dposv_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':

[jira] [Updated] (MXNET-115) USE_LAPACK is forced on all platforms with OpenBLAS and cmake

2018-03-20 Thread Anton Chernov (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Anton Chernov updated MXNET-115:

Description: 
When building with cmake, MXNET_USE_LAPACK is inappropriately forced on all 
platforms breaking the build if the library is not available.
{code}
tests/CMakeFiles/mxnet_unit_tests.dir/cpp/operator/krprod_test.cc.o: In 
function `mxnet_lapack_dposv':
/work/mxnet/src/operator/contrib/../c_lapack_api.h:260: undefined reference to 
`dposv_'
/work/mxnet/src/operator/contrib/../c_lapack_api.h:265: undefined reference to 
`dposv_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:286: undefined reference 
to `dgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:303: undefined reference 
to `dorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dpotri':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:235: undefined reference 
to `dpotri_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_spotri':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:234: undefined reference 
to `spotri_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dpotrf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:233: undefined reference 
to `dpotrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_spotrf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:232: undefined reference 
to `spotrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dsyevd':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_ssyevd':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:286: undefined reference 
to `dgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:303: undefined reference 
to `dorgqr_'
collect2: error: ld returned 1 exit status
{code}
The corresponding cmake override is in root 
[CMakeLists.txt|https://github.com/apache/incubator-mxnet/blob/master/CMakeLists.txt#L350-L359]:
{code}
# ---[ LAPack
if(USE_LAPACK AND NOT MSVC)
  add_definitions(-DMXNET_USE_LAPACK=1)
  list(APPEND mxnet_LINKER_LIBS lapack)
else(USE_LAPACK)
  # Workaround for Windows until using new Jenkinsfile.
  if(BLAS STREQUAL "Open" OR BLAS STREQUAL "open" OR USE_BLAS STREQUAL "Open" 
OR USE_BLAS STREQUAL "open")
add_definitions(-DMXNET_USE_LAPACK=1)
  endif()
endif()
{code}

This effectively forces the {{MXNET_USE_LAPACK}} define on all platforms 
(USE_LAPACK=OFF, MSVC=ON / USE_LAPACK=OFF, MSVC=OFF) if the intent was actually 
switching it off.

Right now the problem is that some python tests depend on the lapack functions.

h3. Possible solution

An API function should be introduced to tell the language binding if lapack (or 
corresponding operators) is available and the tests should be skipped if not.

  was:
When building with cmake, MXNET_USE_LAPACK is inappropriately forced on all 
platforms breaking the build if the library is not available.
{code}
tests/CMakeFiles/mxnet_unit_tests.dir/cpp/operator/krprod_test.cc.o: In 
function `mxnet_lapack_dposv':
/work/mxnet/src/operator/contrib/../c_lapack_api.h:260: undefined reference to 
`dposv_'
/work/mxnet/src/operator/contrib/../c_lapack_api.h:265: undefined reference to 
`dposv_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':

[jira] [Updated] (MXNET-115) USE_LAPACK is forced on all platforms with OpenBLAS and cmake

2018-03-20 Thread Anton Chernov (JIRA) 

 [ 
https://issues.apache.org/jira/browse/MXNET-115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Anton Chernov updated MXNET-115:

Description: 
When building with cmake, MXNET_USE_LAPACK is inappropriately forced on all 
platforms breaking the build if the library is not available.
{code}
tests/CMakeFiles/mxnet_unit_tests.dir/cpp/operator/krprod_test.cc.o: In 
function `mxnet_lapack_dposv':
/work/mxnet/src/operator/contrib/../c_lapack_api.h:260: undefined reference to 
`dposv_'
/work/mxnet/src/operator/contrib/../c_lapack_api.h:265: undefined reference to 
`dposv_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:286: undefined reference 
to `dgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:303: undefined reference 
to `dorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dpotri':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:235: undefined reference 
to `dpotri_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_spotri':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:234: undefined reference 
to `spotri_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dpotrf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:233: undefined reference 
to `dpotrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_spotrf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:232: undefined reference 
to `spotrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dsyevd':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:323: undefined reference 
to `dsyevd_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_ssyevd':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:322: undefined reference 
to `ssyevd_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:286: undefined reference 
to `dgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:303: undefined reference 
to `dorgqr_'
collect2: error: ld returned 1 exit status
{code}
The corresponding cmake override is in root 
[CMakeLists.txt|https://github.com/apache/incubator-mxnet/blob/master/CMakeLists.txt#L350-L359]:
{code}
# ---[ LAPack
if(USE_LAPACK AND NOT MSVC)
  add_definitions(-DMXNET_USE_LAPACK=1)
  list(APPEND mxnet_LINKER_LIBS lapack)
else(USE_LAPACK)
  # Workaround for Windows until using new Jenkinsfile.
  if(BLAS STREQUAL "Open" OR BLAS STREQUAL "open" OR USE_BLAS STREQUAL "Open" 
OR USE_BLAS STREQUAL "open")
add_definitions(-DMXNET_USE_LAPACK=1)
  endif()
endif()
{code}

This effectively forces the {{MXNET_USE_LAPACK}} define on all platforms 
(USE_LAPACK=OFF, MSVC=ON / USE_LAPACK=OFF, MSVC=OFF) if the intent was actually 
switching it off.

Right now the problem is that some python tests depend on the lapack functions.

Possible solution

An API function should be introduced to tell the language binding if lapack (or 
corresponding operators) is available and the tests should be skipped if not.

  was:
When building with cmake, MXNET_USE_LAPACK is inappropriately forced on all 
platforms breaking the build if the library is not available.

 
{code:java}
tests/CMakeFiles/mxnet_unit_tests.dir/cpp/operator/krprod_test.cc.o: In 
function `mxnet_lapack_dposv':
/work/mxnet/src/operator/contrib/../c_lapack_api.h:260: undefined reference to 
`dposv_'
/work/mxnet/src/operator/contrib/../c_lapack_api.h:265: undefined reference to 
`dposv_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sgelqf':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:285: undefined reference 
to `sgeqrf_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_sorglq':
/work/mxnet/src/operator/tensor/./.././c_lapack_api.h:302: undefined reference 
to `sorgqr_'
libmxnet.a(la_op.cc.o): In function `MXNET_LAPACK_dgelqf':