"Works" doing that pom hack but agreed need to make it work without it.

On Mon, Oct 17, 2016 at 10:41 AM, Andrew Musselman <
andrew.mussel...@gmail.com> wrote:

> No this was with the -omp profile; I'm going to try out his hack now for
> non-omp.
>
> On Mon, Oct 17, 2016 at 10:15 AM, Andrew Palumbo <ap....@outlook.com>
> wrote:
>
>> That is weird.. did u tried it with Trevor's fix?
>>
>>
>>
>> Sent from my Verizon Wireless 4G LTE smartphone
>>
>>
>> -------- Original message --------
>> From: Andrew Musselman <andrew.mussel...@gmail.com>
>> Date: 10/17/2016 10:11 AM (GMT-08:00)
>> To: dev@mahout.apache.org
>> Subject: Re: Trying out PR 261
>>
>> I got the error before setting Xmx however.
>>
>> On Mon, Oct 17, 2016 at 10:03 AM, Andrew Palumbo <ap....@outlook.com>
>> wrote:
>>
>> > I think that the memory should be set to 3 or  4G in the tests in
>> > pom.xml.. maybe you're o erring that setting?
>> >
>> >
>> >
>> > Sent from my Verizon Wireless 4G LTE smartphone
>> >
>> >
>> > -------- Original message --------
>> > From: Andrew Musselman <andrew.mussel...@gmail.com>
>> > Date: 10/17/2016 9:47 AM (GMT-08:00)
>> > To: dev@mahout.apache.org
>> > Subject: Re: Trying out PR 261
>> >
>> > Using the viennacl-omp profile I'm getting an out of memory error even
>> with
>> > Xmx set in MAHOUT_OPTS to 1g:
>> >
>> > - mmul microbenchmark
>> >   + Mahout multiplication time: 8920 ms.
>> >   + ViennaCL/cpu/OpenMP multiplication time: 616 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(SparseRowMat
>> rix.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)
>> >   ...
>> > [INFO]
>> > ------------------------------------------------------------
>> ------------
>> > [INFO] Reactor Summary:
>> > [INFO]
>> > [INFO] Mahout Build Tools ................................. SUCCESS [
>> >  1.131 s]
>> > [INFO] Apache Mahout ...................................... SUCCESS [
>> >  0.023 s]
>> > [INFO] Mahout Math ........................................ SUCCESS [
>> > 31.439 s]
>> > [INFO] Mahout HDFS ........................................ SUCCESS [
>> >  2.151 s]
>> > [INFO] Mahout Math Scala bindings ......................... SUCCESS
>> [02:30
>> > min]
>> > [INFO] Mahout Spark bindings .............................. SUCCESS [
>> > 43.884 s]
>> > [INFO] Mahout Flink bindings .............................. SUCCESS
>> [04:13
>> > min]
>> > [INFO] Mahout Spark bindings shell ........................ SUCCESS [
>> >  4.071 s]
>> > [INFO] Mahout Release Package ............................. SUCCESS [
>> >  1.311 s]
>> > [INFO] Mahout H2O backend ................................. SUCCESS
>> [02:50
>> > min]
>> > [INFO] Mahout Native VienniaCL OpenMP Bindings ............ FAILURE [
>> > 36.106 s]
>> >
>> > On Sun, Oct 16, 2016 at 9:43 PM, Trevor Grant <trevor.d.gr...@gmail.com
>> >
>> > wrote:
>> >
>> > > NOTE:
>> > >
>> > > The last solution creates a cyclical dependency-
>> > >
>> > > The way I made it work was happen-stance.
>> > >
>> > > 1)
>> > > mvn clean install -Pviennacl -Phadoop2 -DskipTests
>> > >
>> > > 2)
>> > > update the pom as described previously
>> > >
>> > > 3)
>> > > cd math-scala
>> > >
>> > > 4)
>> > > mvn test
>> > >
>> > > that will make it work- hacky but POC.
>> > >
>> > > Next how to do this 'right'.
>> > >
>> > > tg
>> > >
>> > >
>> > >
>> > > 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 Sun, Oct 16, 2016 at 11:29 PM, Trevor Grant <
>> trevor.d.gr...@gmail.com
>> > >
>> > > wrote:
>> > >
>> > > > Maybe not the long term fix, but adding
>> > > >
>> > > > <dependency>
>> > > >      <groupId>org.apache.mahout</groupId>
>> > > >      <artifactId>mahout-native-viennacl_${scala.compat.
>> > > > version}</artifactId>
>> > > >      <scope>test</scope>
>> > > >    </dependency>
>> > > >
>> > > > to math-scala/pom.xml seems to fix the afore mentioned errors
>> > > >
>> > > >
>> > > > 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 Sun, Oct 16, 2016 at 10:23 PM, Andrew Palumbo <
>> ap....@outlook.com>
>> > > > wrote:
>> > > >
>> > > >> Thanks Trevor and Andrew- I think that both of your environments
>> are
>> > > >> fine.. (Ubuntu 16.04 was just to recommended because ViennaCL
>> 1.7.1 is
>> > > >> easily installed with sudo-apt-get install.  As logn as you have
>> 1.7.1
>> > > on
>> > > >> the correct path, you should be fine.
>> > > >>
>> > > >>
>> > > >> I'm getting these errors now also, and by viewing the stack trace,
>> I
>> > can
>> > > >> see that the mahout_native_vienniacl*.jars did not make it onto the
>> > > >> classpath some how:
>> > > >>
>> > > >>
>> > > >> [INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
>> > > >> [WARN] Unable to create class GPUMMul: attempting OpenMP version
>> > > >> java.lang.ClassNotFoundException: org.apache.mahout.viennacl.ope
>> > > >> ncl.GPUMMul$
>> > > >>     at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
>> > > >>     at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
>> > > >>     at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:
>> 331)
>> > > >>     at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
>> > > >>     at java.lang.Class.forName0(Native Method)
>> > > >>     at java.lang.Class.forName(Class.java:264)
>> > > >>     at org.apache.mahout.math.scalabi
>> ndings.SolverFactory$.getOpera
>> > > >> tor(SolverFactory.scala:50)
>> > > >>
>> > > >>
>> > > >> I think that i might have merged some conflicts badly when I
>> rebased
>> > > last
>> > > >> week, because I was not seeing these errors.  I'll tey to get this
>> > > worked
>> > > >> out in the next couple of days.
>> > > >>
>> > > >>
>> > > >>
>> > > >> ________________________________
>> > > >> From: Trevor Grant <trevor.d.gr...@gmail.com>
>> > > >> Sent: Sunday, October 16, 2016 11:04:46 PM
>> > > >> To: dev@mahout.apache.org
>> > > >> Subject: Re: Trying out PR 261
>> > > >>
>> > > >> Having similar issues-
>> > > >>
>> > > >> Running 14.04 (I know, supposed to be 16.04, but whatever bear with
>> > me)
>> > > >>
>> > > >> Downloaded viennacl source, unzipped tar-dir/viennacl to
>> > > >> /usr/include/viennacl (e.g. 'installed' viennacl 1.7.1)
>> > > >>
>> > > >> Updated gcc (though I don't think this was neccessary, now that I
>> see
>> > > >> Andrew M was having the same issues)
>> > > >> sudo add-apt-repository ppa:ubuntu-toolchain-r/test
>> > > >> sudo apt-get update
>> > > >> sudo apt-get install gcc-5 g++-5
>> > > >>
>> > > >> sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5
>> 0
>> > > >> --slave /usr/bin/g++ g++ /usr/bin/g++-5
>> > > >>
>> > > >>
>> > > >> System / GPU info
>> > > >> +------------------------------------------------------+
>> > > >>
>> > > >> | NVIDIA-SMI 352.63     Driver Version: 352.63         |
>> > > >>
>> > > >> |-------------------------------+----------------------+----
>> > > >> ------------------+
>> > > >> | 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 GT 740      Off  | 0000:02:00.0     N/A |
>> > > >>  N/A |
>> > > >> | 33%   34C    P8    N/A /  N/A |    411MiB /  1021MiB |     N/A
>> > > >>  Default |
>> > > >> +-------------------------------+----------------------+----
>> > > >> ------------------+
>> > > >>
>> > > >>
>> > > >>
>> > > >>
>> > > >> Build was successful- no problems there.
>> > > >>
>> > > >> Still getting a slew of:
>> > > >>
>> > > >> [32mMatlabLikeMatrixOpsSuite: [0m
>> > > >> [32m- multiplication [0m
>> > > >> [32m- Hadamard [0m
>> > > >> [32mRLikeVectorOpsSuite: [0m
>> > > >> [32m- Hadamard [0m
>> > > >> 19489 [ScalaTest-main-running-RLikeVectorOpsSuite] DEBUG
>> > > >> org.apache.mahout.math.scalabindings.RLikeVectorOpsSuite  - dense
>> > > vector
>> > > >> dots:127.00 ms.
>> > > >> 19489 [ScalaTest-main-running-RLikeVectorOpsSuite] DEBUG
>> > > >> org.apache.mahout.math.scalabindings.RLikeVectorOpsSuite  - dense
>> > view
>> > > >> dots:201.00 ms.
>> > > >> [32m- dot-view performance [0m
>> > > >> [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
>> > > >> 19491 [ScalaTest-main-running-MathSuite] DEBUG
>> > > >> org.apache.mahout.math.scalabindings.MMul$  - AAt computation
>> > detected.
>> > > >> [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
>> > > >> [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
>> > > >> ... goes on like that for a long long time
>> > > >>
>> > > >>
>> > > >>
>> > > >> 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 Sun, Oct 16, 2016 at 6:59 PM, Andrew Musselman <
>> > > >> andrew.mussel...@gmail.com> wrote:
>> > > >>
>> > > >> > I'm not sure my setup is correct; on Ubuntu 16.04 I'm getting a
>> > > >> firehose of
>> > > >> > infos and warns about not finding the GPUMMul and OMPMMul
>> classes.
>> > > I've
>> > > >> > installed libviennacl-dev 1.7.1 through apt-get. Any ideas?
>> > > >> >
>> > > >> > Here's repro:
>> > > >> > $ git fetch origin pull/261/head:viennacl-opmmul-a
>> > > >> > $ mvn clean install -Pviennacl -Phadoop2
>> > > >> >
>> > > >> > Infos and warns (these are littered consistently throughout test
>> > > logs):
>> > > >> > %*% B mapBlock {}
>> > > >> > - C = A %*% B incompatible B keys
>> > > >> > [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
>> > > >> > - Spark-specific C = At %*% B , join
>> > > >> > [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
>> > > >> > - C = At %*% B , join, String-keyed
>> > > >> > [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
>> > > >> > - C = At %*% B , zippable, String-keyed
>> > > >> > [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
>> > > >> > - C = A %*% B.t
>> > > >> > [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
>> > > >> > {
>> > > >> >  0 => {0:26.0,1:35.0,2:46.0,3:51.0}
>> > > >> >  1 => {0:50.0,1:69.0,2:92.0,3:105.0}
>> > > >> >  2 => {0:62.0,1:86.0,2:115.0,3:132.0}
>> > > >> >  3 => {0:74.0,1:103.0,2:138.0,3:159.0}
>> > > >> > }
>> > > >> > - C = A %*% inCoreB
>> > > >> > [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
>> > > >> > {
>> > > >> >  0 => {0:26.0,1:35.0,2:46.0,3:51.0}
>> > > >> >  1 => {0:50.0,1:69.0,2:92.0,3:105.0}
>> > > >> >  2 => {0:62.0,1:86.0,2:115.0,3:132.0}
>> > > >> >  3 => {0:74.0,1:103.0,2:138.0,3:159.0}
>> > > >> > }
>> > > >> >
>> > > >> > Output of `clinfo`:
>> > > >> > $ 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_at
>> omics
>> > > >> > 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_at
>> omics
>> > > >> > 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.
>> > > >> >
>> > > >>
>> > > >
>> > > >
>> > >
>> >
>>
>
>

Reply via email to