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From Andrew Musselman <andrew.mussel...@gmail.com>
Subject Re: Errors when 0.13.0 master or vcl
Date Sat, 29 Oct 2016 17:45:20 GMT
It's not reliable; I've had the -Pviennacl build pass and fail, and the
-Pviennacl-omp build fail but not pass.

On Sat, Oct 29, 2016 at 10:27 AM, Andrew Palumbo <ap.dev@outlook.com> wrote:

> Ok this makes sense.. it's not actually a (java) OOM error, it's actually
> a blanket GPU error... that's why we have the fall backs to omp and jvm..
>
> Does it happen each time you run that test?  Some times these are one off
> things where the gpu buffer had not been cleared when the next test
> starts.. or something like that.
>
> Thanks this is a big help in figuring out what's happening.
>
>
>
> Sent from my Verizon Wireless 4G LTE smartphone
>
>
> -------- Original message --------
> From: Trevor Grant <trevor.d.grant@gmail.com>
> Date: 10/28/2016 4:01 PM (GMT-08:00)
> To: dev@mahout.apache.org
> Subject: Re: Errors when 0.13.0 master or vcl
>
> I was finally able to hit an OOM error.
>
> I initially was running everything from the top.
>
> When I run mvn test from the viennacl directory...
>
>
> /mahout/viennacl$ mvn test
> [INFO] Scanning for projects...
> [WARNING]
> [WARNING] Some problems were encountered while building the effective model
> for org.apache.mahout:mahout-native-viennacl_2.10:jar:0.13.0-SNAPSHOT
> [WARNING] 'artifactId' contains an expression but should be a constant. @
> org.apache.mahout:mahout-native-viennacl_${scala.compat.version}:[unknown-
> version],
> /home/trevor/gits/mahout/viennacl/pom.xml, line 31, column 15
> [WARNING] 'build.plugins.plugin.(groupId:artifactId)' must be unique but
> found duplicate declaration of plugin org.codehaus.mojo:exec-maven-plugin
> @
> org.apache.mahout:mahout-native-viennacl_${scala.compat.version}:[unknown-
> version],
> /home/trevor/gits/mahout/viennacl/pom.xml, line 181, column 15
> [WARNING]
> [WARNING] It is highly recommended to fix these problems because they
> threaten the stability of your build.
> [WARNING]
> [WARNING] For this reason, future Maven versions might no longer support
> building such malformed projects.
> [WARNING]
> [INFO]
>
> [INFO]
> ------------------------------------------------------------------------
> [INFO] Building Mahout Native VienniaCL OpenCL Bindings 0.13.0-SNAPSHOT
> [INFO]
> ------------------------------------------------------------------------
> [INFO]
> [INFO] --- maven-enforcer-plugin:1.4:enforce (enforce-versions) @
> mahout-native-viennacl_2.10 ---
> [INFO]
> [INFO] --- scala-maven-plugin:3.2.0:add-source (add-scala-sources) @
> mahout-native-viennacl_2.10 ---
> [INFO] Add Source directory:
> /home/trevor/gits/mahout/viennacl/src/main/scala
> [INFO] Add Test Source directory:
> /home/trevor/gits/mahout/viennacl/src/test/scala
> [INFO]
> [INFO] --- maven-dependency-plugin:2.3:properties (default) @
> mahout-native-viennacl_2.10 ---
> [INFO]
> [INFO] --- maven-remote-resources-plugin:1.5:process (default) @
> mahout-native-viennacl_2.10 ---
> [INFO]
> [INFO] --- maven-resources-plugin:2.7:resources (default-resources) @
> mahout-native-viennacl_2.10 ---
> [INFO] Using 'UTF-8' encoding to copy filtered resources.
> [INFO] skip non existing resourceDirectory
> /home/trevor/gits/mahout/viennacl/src/main/resources
> [INFO] Copying 3 resources
> [INFO]
> [INFO] --- scala-maven-plugin:3.2.0:compile (scala-compile) @
> mahout-native-viennacl_2.10 ---
> [INFO] Nothing to compile - all classes are up to date
> [INFO]
> [INFO] --- maven-compiler-plugin:3.3:compile (default-compile) @
> mahout-native-viennacl_2.10 ---
> [INFO] Nothing to compile - all classes are up to date
> [INFO]
> [INFO] --- exec-maven-plugin:1.2.1:exec (javacpp) @
> mahout-native-viennacl_2.10 ---
> Warning: Could not load platform properties for class
> org.apache.mahout.viennacl.opencl.GPUMMul
> Warning: Could not load platform properties for class
> org.apache.mahout.viennacl.opencl.GPUMMul$
> Generating
> /home/trevor/gits/mahout/viennacl/target/classes/org/
> apache/mahout/viennacl/opencl/javacpp/jniViennaCL.cpp
> Compiling
> /home/trevor/gits/mahout/viennacl/target/classes/org/
> apache/mahout/viennacl/opencl/javacpp/linux-x86_64/libjniViennaCL.so
> g++ -I/usr/include/viennacl -I/usr/lib/jvm/java-7-openjdk-amd64/include
> -I/usr/lib/jvm/java-7-openjdk-amd64/include/linux
> /home/trevor/gits/mahout/viennacl/target/classes/org/
> apache/mahout/viennacl/opencl/javacpp/jniViennaCL.cpp
> -msse3 -ffast-math -fopenmp -fpermissive -Wl,-rpath,$ORIGIN/
> -Wl,-z,noexecstack -Wl,-Bsymbolic -march=native -m64 -Wall -Ofast -fPIC
> -shared -s -o libjniViennaCL.so -lOpenCL
> Deleting
> /home/trevor/gits/mahout/viennacl/target/classes/org/
> apache/mahout/viennacl/opencl/javacpp/jniViennaCL.cpp
> [INFO]
> [INFO] --- maven-resources-plugin:2.7:testResources
> (default-testResources)
> @ mahout-native-viennacl_2.10 ---
> [INFO] Using 'UTF-8' encoding to copy filtered resources.
> [INFO] skip non existing resourceDirectory
> /home/trevor/gits/mahout/viennacl/src/test/resources
> [INFO] Copying 3 resources
> [INFO]
> [INFO] --- scala-maven-plugin:3.2.0:testCompile (scala-test-compile) @
> mahout-native-viennacl_2.10 ---
> [INFO] Nothing to compile - all classes are up to date
> [INFO]
> [INFO] --- maven-compiler-plugin:3.3:testCompile (default-testCompile) @
> mahout-native-viennacl_2.10 ---
> [INFO] Nothing to compile - all classes are up to date
> [INFO]
> [INFO] --- maven-surefire-plugin:2.18.1:test (default-test) @
> mahout-native-viennacl_2.10 ---
> [INFO] Tests are skipped.
> [INFO]
> [INFO] --- scalatest-maven-plugin:1.0:test (test) @
> mahout-native-viennacl_2.10 ---
> Discovery starting.
> Discovery completed in 201 milliseconds.
> Run starting. Expected test count is: 7
> ViennaCLSuiteVCL:
> - row-major viennacl::matrix
>   + OCL matrix memory domain after assgn=2
> [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
> [INFO] Successfully created org.apache.mahout.viennacl.opencl.GPUMMul
> solver
> jvmRWRW
> gpuRWCW
> log4j:WARN No appenders could be found for logger
> (org.apache.mahout.viennacl.opencl.GPUMMul$).
> log4j:WARN Please initialize the log4j system properly.
> log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for
> more info.
> [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
> [INFO] Successfully created org.apache.mahout.viennacl.opencl.GPUMMul
> solver
> jvmRWRW
> gpuRWCW
> - dense vcl mmul with fast_copy
> [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
> [INFO] Successfully created org.apache.mahout.viennacl.opencl.GPUMMul
> solver
> jvmRWRW
> gpuRWCW
> - mmul microbenchmark
>   + Mahout multiplication time: 2630 ms.
>   + ViennaCL/OpenCL multiplication time: 2072 ms.
>   + ViennaCL/cpu/OpenMP multiplication time: 813 ms.
> - trans
> [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
> [INFO] Successfully created org.apache.mahout.viennacl.opencl.GPUMMul
> solver
> gpuSparseRWRW
> ViennaCL: FATAL ERROR: Kernel start failed for 'spgemm_stage3'.
> ViennaCL: Smaller work sizes could not solve the problem.
> ViennaCL: FATAL ERROR: CL_MEM_OBJECT_ALLOCATION_FAILURE
>  ViennaCL could not allocate memory on the device. Most likely the device
> simply ran out of memory.
> If you think that this is a bug in ViennaCL, please report it at
> viennacl-support@lists.sourceforge.net and supply at least the following
> information:
>  * Operating System
>  * Which OpenCL implementation (AMD, NVIDIA, etc.)
>  * ViennaCL version
> Many thanks in advance!falling back to JVM MMUL
> ViennaCL: FATAL ERROR: Kernel start failed for 'spgemm_stage3'.
> ViennaCL: Smaller work sizes could not solve the problem.
> - sparse mmul microbenchmark *** FAILED ***
>   java.lang.RuntimeException: ViennaCL: FATAL ERROR:
> CL_MEM_OBJECT_ALLOCATION_FAILURE
>  ViennaCL could not allocate memory on the device. Most likely the device
> simply ran out of memory.
> If you think that this is a bug in ViennaCL, please report it at
> viennacl-support@lists.sourceforge.net and supply at least the following
> information:
>  * Operating System
>  * Which OpenCL implementation (AMD, NVIDIA, etc.)
>  * ViennaCL version
> Many thanks in advance!
>   at
> org.apache.mahout.viennacl.opencl.javacpp.CompressedMatrix.allocate(Native
> Method)
>   at
> org.apache.mahout.viennacl.opencl.javacpp.CompressedMatrix.<init>(
> CompressedMatrix.scala:61)
>   at
> org.apache.mahout.viennacl.opencl.ViennaCLSuiteVCL$$
> anonfun$5.apply$mcV$sp(ViennaCLSuiteVCL.scala:250)
>   at
> org.apache.mahout.viennacl.opencl.ViennaCLSuiteVCL$$anonfun$5.apply(
> ViennaCLSuiteVCL.scala:218)
>   at
> org.apache.mahout.viennacl.opencl.ViennaCLSuiteVCL$$anonfun$5.apply(
> ViennaCLSuiteVCL.scala:218)
>   at
> org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(
> Transformer.scala:22)
>   at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
>   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
>   at org.scalatest.Transformer.apply(Transformer.scala:22)
>   at org.scalatest.Transformer.apply(Transformer.scala:20)
>   ...
>   + Mahout Sparse multiplication time: 13303 ms.
> - VCL Dense Matrix %*% Dense vector
>   + Mahout dense matrix %*% dense vector multiplication time: 0 ms.
>   + ViennaCL/cpu/OpenMP dense matrix %*% dense vector multiplication time:
> 4 ms.
> [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
> [INFO] Successfully created org.apache.mahout.viennacl.opencl.GPUMMul
> solver
> gpuRWCW
> - Sparse %*% Dense mmul microbenchmark
>   + Mahout multiplication time: 821 ms.
>   + ViennaCL/OpenCL multiplication time: 754 ms.
>   + ViennaCL/cpu/OpenMP multiplication time: 1473 ms.
> Run completed in 26 seconds, 944 milliseconds.
> Total number of tests run: 7
> Suites: completed 2, aborted 0
> Tests: succeeded 6, failed 1, canceled 0, ignored 0, pending 0
> *** 1 TEST FAILED ***
> [INFO]
> ------------------------------------------------------------------------
> [INFO] BUILD FAILURE
> [INFO]
> ------------------------------------------------------------------------
> [INFO] Total time: 45.600 s
> [INFO] Finished at: 2016-10-28T17:58:45-05:00
> [INFO] Final Memory: 20M/309M
> [INFO]
> ------------------------------------------------------------------------
> [ERROR] Failed to execute goal
> org.scalatest:scalatest-maven-plugin:1.0:test (test) on project
> mahout-native-viennacl_2.10: There are test failures -> [Help 1]
> [ERROR]
> [ERROR] To see the full stack trace of the errors, re-run Maven with the -e
> switch.
> [ERROR] Re-run Maven using the -X switch to enable full debug logging.
> [ERROR]
> [ERROR] For more information about the errors and possible solutions,
> please read the following articles:
> [ERROR] [Help 1]
> http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException
>
>
> Trevor Grant
> Data Scientist
> https://github.com/rawkintrevo
> http://stackexchange.com/users/3002022/rawkintrevo
> http://trevorgrant.org
>
> *"Fortunate is he, who is able to know the causes of things."  -Virgil*
>
>
> On Fri, Oct 28, 2016 at 5:38 PM, Andrew Musselman <
> andrew.musselman@gmail.com> wrote:
>
> > >
> > > My Desktop
> >
> > >
> > Branch: master
> >
> > > Build Command: mvn clean install -Phadoop2
> >
> > > Built and tested successfully
> >
> > >
> > Branch: andrewpalumbo/mahout/viennacl-opmmul-a
> >
> > > Bulid Command: mvn clean install -Pviennacl -Phadoop2
> >
> > Builds successfully-
> >
> > > Tests still riddled with
> >
> > >
> > [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
> >
> > > [WARN] Unable to create class GPUMMul: attempting OpenMP version
> >
> > > [INFO] Creating org.apache.mahout.viennacl.openmp.OMPMMul solver
> >
> > > [INFO] Unable to create class OMPMMul: falling back to java version
> >
> > >
> > Also OOM
> > ViennaCLSuiteOMP:
> > - row-major viennacl::matrix
> > [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
> > [WARN] Unable to create class GPUMMul: attempting OpenMP version
> > [INFO] Creating org.apache.mahout.viennacl.openmp.OMPMMul solver
> > [INFO] Unable to create class OMPMMul: falling back to java version
> > - mmul microbenchmark
> >   + Mahout multiplication time: 8875 ms.
> >   + ViennaCL/cpu/OpenMP multiplication time: 599 ms.
> > - trans
> > [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
> > [WARN] Unable to create class GPUMMul: attempting OpenMP version
> > [INFO] Creating org.apache.mahout.viennacl.openmp.OMPMMul solver
> > [INFO] Unable to create class OMPMMul: falling back to java version
> > *** RUN ABORTED ***
> >   java.lang.OutOfMemoryError: Java heap space
> >   at
> > it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap.rehash(
> > Int2DoubleOpenHashMap.java:1059)
> >   at
> > it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap.insert(
> > Int2DoubleOpenHashMap.java:295)
> >   at
> > it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap.put(
> > Int2DoubleOpenHashMap.java:301)
> >   at
> > org.apache.mahout.math.RandomAccessSparseVector.setQuick(
> > RandomAccessSparseVector.java:130)
> >   at
> > org.apache.mahout.math.SparseRowMatrix.setQuick(
> SparseRowMatrix.java:105)
> >   at org.apache.mahout.math.AbstractMatrix.assign(
> AbstractMatrix.java:256)
> >   at
> > org.apache.mahout.math.scalabindings.MatrixOps.$
> > colon$eq(MatrixOps.scala:192)
> >   at
> > org.apache.mahout.math.scalabindings.MatrixOps.
> cloned(MatrixOps.scala:260)
> >   at
> > org.apache.mahout.math.scalabindings.MatrixOps.$
> minus(MatrixOps.scala:66)
> >   at
> > org.apache.mahout.viennacl.openmp.ViennaCLSuiteOMP$$
> > anonfun$4.apply$mcV$sp(ViennaCLSuiteOMP.scala:152)
> >
> > >
> >
> > Machine Info:
> >
> > > ============================================================
> > ====================
> >
> > >
> >  os major/minor:
> >
> > > $ lsb_release -a
> > No LSB modules are available.
> > Distributor ID: Ubuntu
> > Description: Ubuntu 16.04.1 LTS
> > Release: 16.04
> > Codename: xenial
> >
> > >
> >
> >  chip arch:
> >
> > > $ uname -a
> > Linux Bob 4.4.0-34-generic #53-Ubuntu SMP Wed Jul 27 16:06:39 UTC 2016
> > x86_64 x86_64 x86_64 GNU/Linux
> >
> > >
> > $ cat /proc/cpuinfo
> >
> > > ...
> >
> > > model name : Intel(R) Core(TM) i7-5820K CPU @ 3.30GHz
> >
> > > ...
> >
> > > ^^ 6 cores
> >
> > >
> >
> > GPU:
> >
> > > $ sudo nvidia-smi
> >
> > >
> > +-----------------------------------------------------------
> > ------------------+
> > | NVIDIA-SMI 367.44                 Driver Version: 367.44
> >    |
> > |-------------------------------+----------------------+----
> > ------------------+
> > | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr.
> > ECC |
> > | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util
> Compute
> > M. |
> > |===============================+======================+====
> > ==================|
> > |   0  GeForce GTX 750 Ti  Off  | 0000:01:00.0      On |
> >  N/A |
> > | 29%   25C    P8     1W /  38W |    307MiB /  1998MiB |      0%
> >  Default |
> > +-------------------------------+----------------------+----
> > ------------------+
> >
> >
> > +-----------------------------------------------------------
> > ------------------+
> > | Processes:                                                       GPU
> > Memory |
> > |  GPU       PID  Type  Process name                               Usage
> >    |
> > |===========================================================
> > ==================|
> > |    0      1537    G   ...C-EnableWebRtcEcdsa,WebRTC-H264WithOpenH2
> >  87MiB |
> > |    0      1990    G   /usr/lib/xorg/Xorg
> > 101MiB |
> > |    0      2319    G   /usr/bin/gnome-shell
> > 104MiB |
> > |    0      4360    G   /usr/lib/xorg/Xorg
> >  12MiB |
> > +-----------------------------------------------------------
> > ------------------+
> >
> > >
> >
> >
> >
> >  clinfo output:
> >
> > > $ clinfo
> > Number of platforms                               1
> >   Platform Name                                   NVIDIA CUDA
> >   Platform Vendor                                 NVIDIA Corporation
> >   Platform Version                                OpenCL 1.2 CUDA 8.0.0
> >   Platform Profile                                FULL_PROFILE
> >   Platform Extensions
> > cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics
> > cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics
> > cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing
> > cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll
> > cl_nv_copy_opts
> >   Platform Extensions function suffix             NV
> >
> >   Platform Name                                   NVIDIA CUDA
> > Number of devices                                 1
> >   Device Name                                     GeForce GTX 750 Ti
> >   Device Vendor                                   NVIDIA Corporation
> >   Device Vendor ID                                0x10de
> >   Device Version                                  OpenCL 1.2 CUDA
> >   Driver Version                                  367.44
> >   Device OpenCL C Version                         OpenCL C 1.2
> >   Device Type                                     GPU
> >   Device Profile                                  FULL_PROFILE
> >   Device Topology (NV)                            PCI-E, 01:00.0
> >   Max compute units                               5
> >   Max clock frequency                             1150MHz
> >   Compute Capability (NV)                         5.0
> >   Device Partition                                (core)
> >     Max number of sub-devices                     1
> >     Supported partition types                     None
> >   Max work item dimensions                        3
> >   Max work item sizes                             1024x1024x64
> >   Max work group size                             1024
> >   Preferred work group size multiple              32
> >   Warp size (NV)                                  32
> >   Preferred / native vector sizes
> >     char                                                 1 / 1
> >     short                                                1 / 1
> >     int                                                  1 / 1
> >     long                                                 1 / 1
> >     half                                                 0 / 0
> (n/a)
> >     float                                                1 / 1
> >     double                                               1 / 1
> >  (cl_khr_fp64)
> >   Half-precision Floating-point support           (n/a)
> >   Single-precision Floating-point support         (core)
> >     Denormals                                     Yes
> >     Infinity and NANs                             Yes
> >     Round to nearest                              Yes
> >     Round to zero                                 Yes
> >     Round to infinity                             Yes
> >     IEEE754-2008 fused multiply-add               Yes
> >     Support is emulated in software               No
> >     Correctly-rounded divide and sqrt operations  Yes
> >   Double-precision Floating-point support         (cl_khr_fp64)
> >     Denormals                                     Yes
> >     Infinity and NANs                             Yes
> >     Round to nearest                              Yes
> >     Round to zero                                 Yes
> >     Round to infinity                             Yes
> >     IEEE754-2008 fused multiply-add               Yes
> >     Support is emulated in software               No
> >     Correctly-rounded divide and sqrt operations  No
> >   Address bits                                    64, Little-Endian
> >   Global memory size                              2095841280 (1.952GiB)
> >   Error Correction support                        No
> >   Max memory allocation                           523960320 (499.7MiB)
> >   Unified memory for Host and Device              No
> >   Integrated memory (NV)                          No
> >   Minimum alignment for any data type             128 bytes
> >   Alignment of base address                       4096 bits (512 bytes)
> >   Global Memory cache type                        Read/Write
> >   Global Memory cache size                        81920
> >   Global Memory cache line                        128 bytes
> >   Image support                                   Yes
> >     Max number of samplers per kernel             32
> >     Max size for 1D images from buffer            134217728 pixels
> >     Max 1D or 2D image array size                 2048 images
> >     Max 2D image size                             16384x16384 pixels
> >     Max 3D image size                             4096x4096x4096 pixels
> >     Max number of read image args                 256
> >     Max number of write image args                16
> >   Local memory type                               Local
> >   Local memory size                               49152 (48KiB)
> >   Registers per block (NV)                        65536
> >   Max constant buffer size                        65536 (64KiB)
> >   Max number of constant args                     9
> >   Max size of kernel argument                     4352 (4.25KiB)
> >   Queue properties
> >     Out-of-order execution                        Yes
> >     Profiling                                     Yes
> >   Prefer user sync for interop                    No
> >   Profiling timer resolution                      1000ns
> >   Execution capabilities
> >     Run OpenCL kernels                            Yes
> >     Run native kernels                            No
> >     Kernel execution timeout (NV)                 Yes
> >   Concurrent copy and kernel execution (NV)       Yes
> >     Number of async copy engines                  1
> >   printf() buffer size                            1048576 (1024KiB)
> >   Built-in kernels
> >   Device Available                                Yes
> >   Compiler Available                              Yes
> >   Linker Available                                Yes
> >   Device Extensions
> > cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics
> > cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics
> > cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing
> > cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll
> > cl_nv_copy_opts
> >
> > NULL platform behavior
> >   clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  NVIDIA CUDA
> >   clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   Success [NV]
> >   clCreateContext(NULL, ...) [default]            Success [NV]
> >   clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU)  No devices found in
> > platform
> >   clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU)  No platform
> >   clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR)  No devices
> > found in platform
> >   clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No devices found
> in
> > platform
> >   clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  No platform
> >
> > ICD loader properties
> >   ICD loader Name                                 OpenCL ICD Loader
> >   ICD loader Vendor                               OCL Icd free software
> >   ICD loader Version                              2.2.8
> >   ICD loader Profile                              OpenCL 1.2
> > NOTE: your OpenCL library declares to support OpenCL 1.2,
> > but it seems to support up to OpenCL 2.1 too.
> >
> > >
> >
> >  Java major/minor and vendor:
> >
> > > $ java -version
> > openjdk version "1.8.0_91"
> > OpenJDK Runtime Environment (build 1.8.0_91-8u91-b14-3ubuntu1~16.
> 04.1-b14)
> > OpenJDK 64-Bit Server VM (build 25.91-b14, mixed mode)
> >
> > >
> >
> >   vcl version,
> >
> > > (Ignoring what is in /usr/include/viennacl/version.hpp)
> >
> > > 1.7.1
> >
> >
> > gcc version:
> >
> > > $ gcc --version
> > gcc (Ubuntu 5.4.0-6ubuntu1~16.04.2) 5.4.0 20160609
> >
> > >
> >
> > On Wed, Oct 26, 2016 at 11:31 PM, Andrew Palumbo <ap.dev@outlook.com>
> > wrote:
> >
> > >
> > >
> > >
> > > Could everybody please post any errors when stack trace that they are
> > > getting on master or the vcl pr branch along with full system info?
> > >
> > > Ie.  Branch, os major/minor, chip arch, GPU, clinfo output, Java
> > > major/minor and vendor,  vcl version, gcc version, and anything else
> that
> > > may be useful so that we may compare?
> > >
> > > Thx
> > >
> > > Andy
> > >
> > >
> > > Sent from my Galaxy Tab A
> > >
> >
>

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