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December 8, 2017 19:46
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re-test of gpuR
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| R version 3.4.3 (2017-11-30) -- "Kite-Eating Tree" | |
| Copyright (C) 2017 The R Foundation for Statistical Computing | |
| Platform: x86_64-pc-linux-gnu (64-bit) | |
| R is free software and comes with ABSOLUTELY NO WARRANTY. | |
| You are welcome to redistribute it under certain conditions. | |
| Type 'license()' or 'licence()' for distribution details. | |
| Natural language support but running in an English locale | |
| R is a collaborative project with many contributors. | |
| Type 'contributors()' for more information and | |
| 'citation()' on how to cite R or R packages in publications. | |
| Type 'demo()' for some demos, 'help()' for on-line help, or | |
| 'help.start()' for an HTML browser interface to help. | |
| Type 'q()' to quit R. | |
| > devtools::test() | |
| Loading gpuR | |
| Loading required package: testthat | |
| Creating a generic function for ‘eigen’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘%o%’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘nrow’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘ncol’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘crossprod’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘tcrossprod’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘cov’ from package ‘stats’ in package ‘gpuR’ | |
| Creating a generic function for ‘colSums’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘rowSums’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘colMeans’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘rowMeans’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘dist’ from package ‘stats’ in package ‘gpuR’ | |
| Creating a generic function for ‘diag’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘diag<-’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘det’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘norm’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘qr.R’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘qr.Q’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘typeof’ from package ‘base’ in package ‘gpuR’ | |
| Creating a generic function for ‘colnames<-’ from package ‘base’ in package ‘gpuR’ | |
| Number of platforms: 2 | |
| - platform: Advanced Micro Devices, Inc.: OpenCL 2.0 AMD-APP (2482.3) | |
| - context device index: 0 | |
| - Bonaire | |
| - platform: The pocl project: OpenCL 1.2 pocl 1.1-pre, LLVM 5.0.0 | |
| - context device index: 0 | |
| - pthread-AMD FX(tm)-8350 Eight-Core Processor | |
| checked all devices | |
| completed initialization | |
| gpuR 2.0.2 | |
| Testing gpuR | |
| CPU deepcopy: .................................................... | |
| CPU gpuMatrix algebra: ................................................................................................................................................................................................................................................ | |
| CPU gpuMatrix chol decomposition: ...... | |
| CPU gpuMatrix classes: ......................................................... | |
| CPU gpuMatrix Correlations: .... | |
| CPU gpuMatrix Distance Computations: .......................... | |
| CPU gpuMatrix eigen decomposition: ...... | |
| CPU gpuMatrix math operations: .................................................................. | |
| CPU gpuMatrix norm: .................. | |
| CPU gpuMatrix qr decomposition: ........ | |
| CPU gpuMatrix Row and Column Methods: ........................................................ | |
| CPU gpuMatrix solve: ........................ | |
| CPU gpuMatrix svd decomposition: .......... | |
| CPU gpuMatrix Utility Functions: ............................................................ | |
| CPU gpuMatrixBlock algebra: .......................................................................................... | |
| CPU gpuVector algebra: .......................................................................................... | |
| CPU gpuVector classes: ................................. | |
| CPU gpuVector math operations: .................................................................. | |
| CPU gpuVector Utility Functions: ................... | |
| CPU Inplace Algebra Operations: ................................................................................................ | |
| CPU Inplace Math Operations: ............................................................................ | |
| CPU Ordering Methods: .... | |
| CPU vclVector shared memory: .... | |
| CPU vclMatrix algebra: ................................................................................................................................................................................................................................................... | |
| CPU vclMatrix chol decomposition: ...... | |
| CPU vclMatrix classes: .................................................... | |
| CPU vclMatrix Correlations: ...... | |
| CPU vclMatrix Distance Computations: .......................... | |
| CPU vclMatrix eigen decomposition: ...... | |
| CPU vclMatrix norm: .................. | |
| CPU vclMatrix qr decomposition: ........ | |
| CPU vclMatrix Row and Column Methods: ........................................................ | |
| CPU vclMatrix solve: ........................ | |
| CPU vclMatrix svd decomposition: .......... | |
| CPU vclMatrixBlock algebra: .......................................................................................... | |
| CPU vclMatrix math operations: .................................................................. | |
| CPU vclMatrix Utility Functions: .............................................................. | |
| CPU vclVector algebra: .................................................................................. | |
| CPU vclVector classes: ................................ | |
| CPU vclVector math operations: .................................................................. | |
| CPU vclVector Utility Functions: ....................... | |
| Custom OpenCL: In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/backend.hpp:26:0, | |
| from file3c902b486987.cpp:8: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/context.hpp: In member function ‘void viennacl::ocl::context::add_queue(cl_device_id)’: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/context.hpp:262:93: warning: ‘_cl_command_queue* clCreateCommandQueue(cl_context, cl_device_id, cl_command_queue_properties, cl_int*)’ is deprecated [-Wdeprecated-declarations] | |
| viennacl::ocl::handle<cl_command_queue> temp(clCreateCommandQueue(h_.get(), dev, 0, &err), *this); | |
| ^ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/context.hpp:28:0, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/backend.hpp:26, | |
| from file3c902b486987.cpp:8: | |
| /data/Installers/gpuR/include/CL/cl.h:1427:1: note: declared here | |
| clCreateCommandQueue(cl_context /* context */, | |
| ^~~~~~~~~~~~~~~~~~~~ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/linalg/scalar_operations.hpp:27:0, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/scalar.hpp:30, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/tools/entry_proxy.hpp:27, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/detail/matrix_def.hpp:26, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/matrix.hpp:26, | |
| from /data/Installers/gpuR/include/gpuR/dynVCLMat.hpp:17, | |
| from /data/Installers/gpuR/include/gpuR/getVCLptr.hpp:5, | |
| from file3c902b486987.cpp:11: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp: At global scope: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp:513:38: warning: ignoring attributes on template argument ‘cl_float {aka float}’ [-Wignored-attributes] | |
| template<> struct is_cl_type<cl_float> { enum { value = true }; }; | |
| ^ | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp:514:39: warning: ignoring attributes on template argument ‘cl_double {aka double}’ [-Wignored-attributes] | |
| template<> struct is_cl_type<cl_double>{ enum { value = true }; }; | |
| ^ | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp:515:37: warning: ignoring attributes on template argument ‘cl_uint {aka unsigned int}’ [-Wignored-attributes] | |
| template<> struct is_cl_type<cl_uint> { enum { value = true }; }; | |
| ^ | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp:516:36: warning: ignoring attributes on template argument ‘cl_int {aka int}’ [-Wignored-attributes] | |
| template<> struct is_cl_type<cl_int> { enum { value = true }; }; | |
| ^ | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp:519:38: warning: ignoring attributes on template argument ‘cl_ulong {aka long unsigned int}’ [-Wignored-attributes] | |
| template<> struct is_cl_type<cl_ulong> { enum { value = true }; }; | |
| ^ | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp:520:37: warning: ignoring attributes on template argument ‘cl_long {aka long int}’ [-Wignored-attributes] | |
| template<> struct is_cl_type<cl_long> { enum { value = true }; }; | |
| ^ | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp:521:39: warning: ignoring attributes on template argument ‘cl_ushort {aka short unsigned int}’ [-Wignored-attributes] | |
| template<> struct is_cl_type<cl_ushort>{ enum { value = true }; }; | |
| ^ | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/meta/predicate.hpp:522:38: warning: ignoring attributes on template argument ‘cl_short {aka short int}’ [-Wignored-attributes] | |
| template<> struct is_cl_type<cl_short> { enum { value = true }; }; | |
| ^ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/device_specific/builtin_database/devices/gpu/amd/ni/barts.hpp:24:0, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/device_specific/builtin_database/matrix_product.hpp:21, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/linalg/opencl/kernels/matrix.hpp:28, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/linalg/opencl/matrix_operations.hpp:46, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/linalg/matrix_operations.hpp:41, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/matrix.hpp:28, | |
| from /data/Installers/gpuR/include/gpuR/dynVCLMat.hpp:17, | |
| from /data/Installers/gpuR/include/gpuR/getVCLptr.hpp:5, | |
| from file3c902b486987.cpp:11: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/device_specific/builtin_database/common.hpp:54:76: warning: ignoring attributes on template argument ‘viennacl::device_specific::device_type {aka long unsigned int}’ [-Wignored-attributes] | |
| struct device_type_t{ typedef std::map<device_type, device_architecture_t> map_t; map_t d; }; | |
| ^ | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/device_specific/builtin_database/common.hpp:55:62: warning: ignoring attributes on template argument ‘viennacl::device_specific::vendor_id_type {aka unsigned int}’ [-Wignored-attributes] | |
| struct type{ typedef std::map<vendor_id_type, device_type_t> map_t; map_t d; }; | |
| ^ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/backend.hpp:27:0, | |
| from file3c902b486987.cpp:8: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/enqueue.hpp: In instantiation of ‘void viennacl::ocl::enqueue(KernelType&, const viennacl::ocl::command_queue&) [with KernelType = viennacl::ocl::kernel]’: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/enqueue.hpp:134:10: required from ‘void viennacl::ocl::enqueue(KernelType&) [with KernelType = viennacl::ocl::kernel]’ | |
| file3c902b486987.cpp:133:108: required from here | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/enqueue.hpp:74:26: warning: ‘cl_int clEnqueueTask(cl_command_queue, cl_kernel, cl_uint, _cl_event* const*, _cl_event**)’ is deprecated [-Wdeprecated-declarations] | |
| err = clEnqueueTask(queue.handle().get(), k.handle().get(), 0, NULL, NULL); | |
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/context.hpp:28:0, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/backend.hpp:26, | |
| from file3c902b486987.cpp:8: | |
| /data/Installers/gpuR/include/CL/cl.h:1441:1: note: declared here | |
| clEnqueueTask(cl_command_queue /* command_queue */, | |
| ^~~~~~~~~~~~~ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/backend.hpp:27:0, | |
| from file3c902b486987.cpp:8: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/enqueue.hpp:74:26: warning: ‘cl_int clEnqueueTask(cl_command_queue, cl_kernel, cl_uint, _cl_event* const*, _cl_event**)’ is deprecated [-Wdeprecated-declarations] | |
| err = clEnqueueTask(queue.handle().get(), k.handle().get(), 0, NULL, NULL); | |
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/context.hpp:28:0, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/backend.hpp:26, | |
| from file3c902b486987.cpp:8: | |
| /data/Installers/gpuR/include/CL/cl.h:1441:1: note: declared here | |
| clEnqueueTask(cl_command_queue /* command_queue */, | |
| ^~~~~~~~~~~~~ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/backend.hpp:27:0, | |
| from file3c902b486987.cpp:8: | |
| /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/enqueue.hpp:74:26: warning: ‘cl_int clEnqueueTask(cl_command_queue, cl_kernel, cl_uint, _cl_event* const*, _cl_event**)’ is deprecated [-Wdeprecated-declarations] | |
| err = clEnqueueTask(queue.handle().get(), k.handle().get(), 0, NULL, NULL); | |
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| In file included from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/context.hpp:28:0, | |
| from /home/znmeb/R/x86_64-pc-linux-gnu-library/3.4/RViennaCL/include/viennacl/ocl/backend.hpp:26, | |
| from file3c902b486987.cpp:8: | |
| /data/Installers/gpuR/include/CL/cl.h:1441:1: note: declared here | |
| clEnqueueTask(cl_command_queue /* command_queue */, | |
| ^~~~~~~~~~~~~ | |
| . | |
| deepcopy: ....................................................... | |
| gpuMatrix algebra: ................................................................................................................................................................................................................................................ | |
| gpuMatrix chol decomposition: ...... | |
| gpuMatrix classes: ........................................................................... | |
| gpuMatrix Correlations: ...... | |
| gpuMatrix Distance Computations: .......................... | |
| gpuMatrix eigen decomposition: ...... | |
| gpuMatrix math operations: .................................................................. | |
| gpuMatrix norm: .................. | |
| gpuMatrix qr decomposition: ........ | |
| gpuMatrix Row and Column Methods: .......................................................... | |
| gpuMatrix solve: ........................ | |
| gpuMatrix svd decomposition: .......... | |
| gpuMatrix Utility Functions: ................................... | |
| gpuMatrixBlock algebra: .......................................................................................... | |
| gpuVector algebra: .......................................................................................... | |
| gpuVector classes: ................................. | |
| gpuVector math operations: .........................1........................................ | |
| gpuVector Utility Functions: ................... | |
| Inplace Operations: ........................ | |
| Check Internal C++ Errors: ............................................................................................................................ | |
| Ordering Methods: ........ | |
| vclVector shared memory: ....2 | |
| Switching GPUs vclMatrix algebra: SSSSSSSSSSSSSSSdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
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| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
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| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| Sdevice found: | |
| 94439691514881 | |
| S | |
| Switching GPUs vclMatrix classes: SSSSSSSSS | |
| Switching GPUs vclMatrix Correlations: SS | |
| Switching GPU vclMatrix Distance Computations: SSSSSSSS | |
| Switching GPU vclMatrix eigen decomposition: SS | |
| Switching GPU vclMatrix math operations: SSSSSSSSSSSSSS | |
| Switching GPU vclMatrix Row and Column Methods: SSSSSSSSSSSSSSSSSSSS | |
| Switching GPU vclMatrix Utility Functions: SSSS | |
| Switching GPU vclMatrixBlock algebra: SSSSSSSSSSSSSSSSSSSSSSSSSSSS | |
| Utility Functions: ........................... | |
| vclMatrix algebra: .................................................................................................................................................................................................................................................... | |
| vclMatrix chol decomposition: ...... | |
| vclMatrix classes: .................................................... | |
| vclMatrix Correlations: ...... | |
| vclMatrix Distance Computations: .......................... | |
| vclMatrix eigen decomposition: ........ | |
| vclMatrix math operations: .................................................................. | |
| vclMatrix norm: .................. | |
| vclMatrix qr decomposition: ........ | |
| vclMatrix Row and Column Methods: .......................................................... | |
| vclMatrix solve: ........................ | |
| vclMatrix svd decomposition: .......... | |
| vclMatrix Utility Functions: .............................................................. | |
| vclMatrixBlock algebra: .......................................................................................... | |
| vclVector algebra: .................................................................................. | |
| vclVector classes: ................................ | |
| vclVector math operations: .........................3........................................ | |
| vclVector Utility Functions: ....................... | |
| Skipped ------------------------------------------------------------------------ | |
| 1. Switching GPUs vclMatrix Single Precision Matrix Multiplication (@test_switch_gpu_vclMatrix_algebra.R#26) - Only one GPU available | |
| 2. Switching GPUs vclMatrix Single Precision Matrix Subtraction (@test_switch_gpu_vclMatrix_algebra.R#53) - Only one GPU available | |
| 3. Switching GPUs vclMatrix Single Precision Scalar Matrix Subtraction (@test_switch_gpu_vclMatrix_algebra.R#80) - Only one GPU available | |
| 4. Switching GPUs vclMatrix Single Precision Unary Scalar Matrix Subtraction (@test_switch_gpu_vclMatrix_algebra.R#113) - Only one GPU available | |
| 5. Switching GPUs vclMatrix Single Precision Matrix Addition (@test_switch_gpu_vclMatrix_algebra.R#139) - Only one GPU available | |
| 6. Switching GPUs vclMatrix Single Precision Scalar Matrix Addition (@test_switch_gpu_vclMatrix_algebra.R#166) - Only one GPU available | |
| 7. Switching GPUs vclMatrix Single Precision Matrix Element-Wise Multiplication (@test_switch_gpu_vclMatrix_algebra.R#199) - Only one GPU available | |
| 8. Switching GPUs vclMatrix Single Precision Scalar Matrix Multiplication (@test_switch_gpu_vclMatrix_algebra.R#226) - Only one GPU available | |
| 9. Switching GPUs vclMatrix Single Precision Matrix Element-Wise Division (@test_switch_gpu_vclMatrix_algebra.R#259) - Only one GPU available | |
| 10. Switching GPUs vclMatrix Single Precision Scalar Matrix Division (@test_switch_gpu_vclMatrix_algebra.R#286) - Only one GPU available | |
| 11. Switching GPUs vclMatrix Single Precision Matrix Element-Wise Power (@test_switch_gpu_vclMatrix_algebra.R#319) - Only one GPU available | |
| 12. Switching GPUs vclMatrix Single Precision Scalar Matrix Power (@test_switch_gpu_vclMatrix_algebra.R#346) - Only one GPU available | |
| 13. Switching GPUs vclMatrix Single Precision crossprod (@test_switch_gpu_vclMatrix_algebra.R#372) - Only one GPU available | |
| 14. Switching GPUs vclMatrix Single Precision tcrossprod (@test_switch_gpu_vclMatrix_algebra.R#411) - Only one GPU available | |
| 15. Switching GPUs vclMatrix Single Precision transpose (@test_switch_gpu_vclMatrix_algebra.R#451) - Only one GPU available | |
| 16. Switching GPUs vclMatrix Double Precision Matrix Multiplication (@test_switch_gpu_vclMatrix_algebra.R#474) - Less than 2 GPUs with double precision | |
| 17. Switching GPUs vclMatrix Double Precision Matrix Subtraction (@test_switch_gpu_vclMatrix_algebra.R#501) - Less than 2 GPUs with double precision | |
| 18. Switching GPUs vclMatrix Double Precision Scalar Matrix Subtraction (@test_switch_gpu_vclMatrix_algebra.R#528) - Less than 2 GPUs with double precision | |
| 19. Switching GPUs vclMatrix Double Precision Unary Scalar Matrix Subtraction (@test_switch_gpu_vclMatrix_algebra.R#561) - Less than 2 GPUs with double precision | |
| 20. Switching GPUs vclMatrix Double Precision Matrix Addition (@test_switch_gpu_vclMatrix_algebra.R#587) - Less than 2 GPUs with double precision | |
| 21. Switching GPUs vclMatrix Double Precision Scalar Matrix Addition (@test_switch_gpu_vclMatrix_algebra.R#614) - Less than 2 GPUs with double precision | |
| 22. Switching GPUs vclMatrix Double Precision Matrix Element-Wise Multiplication (@test_switch_gpu_vclMatrix_algebra.R#647) - Less than 2 GPUs with double precision | |
| 23. Switching GPUs vclMatrix Double Precision Scalar Matrix Multiplication (@test_switch_gpu_vclMatrix_algebra.R#674) - Less than 2 GPUs with double precision | |
| 24. Switching GPUs vclMatrix Double Precision Matrix Element-Wise Division (@test_switch_gpu_vclMatrix_algebra.R#707) - Less than 2 GPUs with double precision | |
| 25. Switching GPUs vclMatrix Double Precision Scalar Matrix Division (@test_switch_gpu_vclMatrix_algebra.R#734) - Less than 2 GPUs with double precision | |
| 26. Switching GPUs vclMatrix Double Precision Matrix Element-Wise Power (@test_switch_gpu_vclMatrix_algebra.R#767) - Less than 2 GPUs with double precision | |
| 27. Switching GPUs vclMatrix Double Precision Scalar Matrix Power (@test_switch_gpu_vclMatrix_algebra.R#794) - Less than 2 GPUs with double precision | |
| 28. Switching GPUs vclMatrix Double Precision crossprod (@test_switch_gpu_vclMatrix_algebra.R#820) - Less than 2 GPUs with double precision | |
| 29. Switching GPUs vclMatrix Double Precision tcrossprod (@test_switch_gpu_vclMatrix_algebra.R#859) - Less than 2 GPUs with double precision | |
| 30. Switching GPUs vclMatrix Double Precision transpose (@test_switch_gpu_vclMatrix_algebra.R#899) - Less than 2 GPUs with double precision | |
| 31. Switching GPUs vclMatrix integer class initializer (@test_switch_gpu_vclMatrix_classes.R#19) - Only one GPU available | |
| 32. Switching GPUs vclMatrix float class initializer (@test_switch_gpu_vclMatrix_classes.R#42) - Only one GPU available | |
| 33. Switching GPUs vclMatrix double class initializer (@test_switch_gpu_vclMatrix_classes.R#65) - Only one GPU available | |
| 34. Switching GPUs vclMatrix integer vector initializers (@test_switch_gpu_vclMatrix_classes.R#89) - Only one GPU available | |
| 35. Switching GPUs vclMatrix float vector initializers (@test_switch_gpu_vclMatrix_classes.R#111) - Only one GPU available | |
| 36. Switching GPUs vclMatrix double vector initializers (@test_switch_gpu_vclMatrix_classes.R#133) - Only one GPU available | |
| 37. Switching GPUs vclMatrix integer scalar initializers (@test_switch_gpu_vclMatrix_classes.R#156) - Only one GPU available | |
| 38. Switching GPUs vclMatrix float scalar initializers (@test_switch_gpu_vclMatrix_classes.R#181) - Only one GPU available | |
| 39. Switching GPUs vclMatrix double scalar initializers (@test_switch_gpu_vclMatrix_classes.R#205) - Only one GPU available | |
| 40. Switching GPUs vclMatrix Single Precision Pearson Covariance (@test_switch_gpu_vclMatrix_cov.R#24) - Only one GPU available | |
| 41. Switching GPUs vclMatrix Double Precision Pearson Covariance (@test_switch_gpu_vclMatrix_cov.R#46) - Only one GPU available | |
| 42. Switching GPU vclMatrix Single Precision Euclidean Distance (@test_switch_gpu_vclMatrix_dist.R#62) - Only one GPU available | |
| 43. Switching GPU vclMatrix Double Precision Euclidean Distance (@test_switch_gpu_vclMatrix_dist.R#86) - Only one GPU available | |
| 44. Switching GPU vclMatrix Single Precision Squared Euclidean Distance (@test_switch_gpu_vclMatrix_dist.R#109) - Only one GPU available | |
| 45. Switching GPU vclMatrix Double Precision Squared Euclidean Distance (@test_switch_gpu_vclMatrix_dist.R#131) - Only one GPU available | |
| 46. Switching GPU vclMatrix Single Precision Pairwise Euclidean Distance (@test_switch_gpu_vclMatrix_dist.R#154) - Only one GPU available | |
| 47. Switching GPU vclMatrix Double Precision Pairwise Euclidean Distance (@test_switch_gpu_vclMatrix_dist.R#190) - Only one GPU available | |
| 48. Switching GPU vclMatrix Single Precision Pairwise Squared Euclidean Distance (@test_switch_gpu_vclMatrix_dist.R#227) - Only one GPU available | |
| 49. Switching GPU vclMatrix Double Precision Pairwise Squared Euclidean Distance (@test_switch_gpu_vclMatrix_dist.R#263) - Only one GPU available | |
| 50. Switching GPU vclMatrix Symmetric Single Precision Matrix Eigen Decomposition (@test_switch_gpu_vclMatrix_eigen.R#30) - switching contexts not function in ViennaCL yet | |
| 51. Switching GPU vclMatrix Symmetric Double Precision Matrix Eigen Decomposition (@test_switch_gpu_vclMatrix_eigen.R#68) - switching contexts not function in ViennaCL yet | |
| 52. Switching GPU vclMatrix Single Precision Matrix Element-Wise Trignometry (@test_switch_gpu_vclMatrix_math.R#26) - Only one GPU available | |
| 53. Switching GPU vclMatrix Double Precision Matrix Element-Wise Trignometry (@test_switch_gpu_vclMatrix_math.R#97) - Only one GPU available | |
| 54. Switching GPU vclMatrix Single Precision Matrix Element-Wise Logs (@test_switch_gpu_vclMatrix_math.R#170) - Only one GPU available | |
| 55. Switching GPU vclMatrix Double Precision Matrix Element-Wise Logs (@test_switch_gpu_vclMatrix_math.R#207) - Only one GPU available | |
| 56. Switching GPU vclMatrix Single Precision Matrix Exponential (@test_switch_gpu_vclMatrix_math.R#246) - Only one GPU available | |
| 57. Switching GPU vclMatrix Double Precision Matrix Exponential (@test_switch_gpu_vclMatrix_math.R#269) - Only one GPU available | |
| 58. Switching GPU vclMatrix Single Precision Matrix Absolute Value (@test_switch_gpu_vclMatrix_math.R#294) - Only one GPU available | |
| 59. Switching GPU vclMatrix Double Precision Matrix Absolute Value (@test_switch_gpu_vclMatrix_math.R#317) - Only one GPU available | |
| 60. Switching GPU vclMatrix Single Precision Maximum/Minimum (@test_switch_gpu_vclMatrix_math.R#342) - Only one GPU available | |
| 61. Switching GPU vclMatrix Double Precision Maximum/Minimum (@test_switch_gpu_vclMatrix_math.R#367) - Only one GPU available | |
| 62. Switching GPU vclMatrix Single Precision Matrix sqrt (@test_switch_gpu_vclMatrix_math.R#394) - Only one GPU available | |
| 63. Switching GPU vclMatrix Double Precision Matrix sqrt (@test_switch_gpu_vclMatrix_math.R#417) - Only one GPU available | |
| 64. Switching GPU vclMatrix Single Precision Matrix sign (@test_switch_gpu_vclMatrix_math.R#441) - Only one GPU available | |
| 65. Switching GPU vclMatrix Double Precision Matrix sign (@test_switch_gpu_vclMatrix_math.R#464) - Only one GPU available | |
| 66. Switching GPU vclMatrix Single Precision Column Sums (@test_switch_gpu_vclMatrix_row_col.R#34) - Only one GPU available | |
| 67. Switching GPU vclMatrix Double Precision Column Sums (@test_switch_gpu_vclMatrix_row_col.R#56) - Only one GPU available | |
| 68. Switching GPU vclMatrix Single Precision Row Sums (@test_switch_gpu_vclMatrix_row_col.R#80) - Only one GPU available | |
| 69. Switching GPU vclMatrix Double Precision Row Sums (@test_switch_gpu_vclMatrix_row_col.R#102) - Only one GPU available | |
| 70. Switching GPU vclMatrix Single Precision Column Means (@test_switch_gpu_vclMatrix_row_col.R#125) - Only one GPU available | |
| 71. Switching GPU vclMatrix Double Precision Column Means (@test_switch_gpu_vclMatrix_row_col.R#147) - Only one GPU available | |
| 72. Switching GPU vclMatrix Single Precision Row Means (@test_switch_gpu_vclMatrix_row_col.R#171) - Only one GPU available | |
| 73. Switching GPU vclMatrix Double Precision Row Means (@test_switch_gpu_vclMatrix_row_col.R#193) - Only one GPU available | |
| 74. Switching GPU vclMatrix Single Precision cbind (@test_switch_gpu_vclMatrix_row_col.R#216) - Only one GPU available | |
| 75. Switching GPU vclMatrix Double Precision cbind (@test_switch_gpu_vclMatrix_row_col.R#254) - Only one GPU available | |
| 76. Switching GPU vclMatrix Single Precision rbind (@test_switch_gpu_vclMatrix_row_col.R#293) - Only one GPU available | |
| 77. Switching GPU vclMatrix Double Precision rbind (@test_switch_gpu_vclMatrix_row_col.R#331) - Only one GPU available | |
| 78. Switching GPU vclMatrix Single Precision Block Column Sums (@test_switch_gpu_vclMatrix_row_col.R#373) - Only one GPU available | |
| 79. Switching GPU vclMatrix Double Precision Block Column Sums (@test_switch_gpu_vclMatrix_row_col.R#396) - Only one GPU available | |
| 80. Switching GPU vclMatrix Single Precision Block Row Sums (@test_switch_gpu_vclMatrix_row_col.R#421) - Only one GPU available | |
| 81. Switching GPU vclMatrix Double Precision Block Row Sums (@test_switch_gpu_vclMatrix_row_col.R#444) - Only one GPU available | |
| 82. Switching GPU vclMatrix Single Precision Block Column Means (@test_switch_gpu_vclMatrix_row_col.R#468) - Only one GPU available | |
| 83. Switching GPU vclMatrix Double Precision Block Column Means (@test_switch_gpu_vclMatrix_row_col.R#490) - Only one GPU available | |
| 84. Switching GPU vclMatrix Single Precision Block Row Means (@test_switch_gpu_vclMatrix_row_col.R#514) - Only one GPU available | |
| 85. Switching GPU vclMatrix Double Precision Block Row Means (@test_switch_gpu_vclMatrix_row_col.R#536) - Only one GPU available | |
| 86. Switching GPU vclMatrix get element access (@test_switch_gpu_vclMatrix_utils.R#17) - Only one GPU available | |
| 87. Switching GPU vclMatrix set column access (@test_switch_gpu_vclMatrix_utils.R#62) - Only one GPU available | |
| 88. Switching GPU vclMatrix set row access (@test_switch_gpu_vclMatrix_utils.R#118) - Only one GPU available | |
| 89. Switching GPU vclMatrix set element access (@test_switch_gpu_vclMatrix_utils.R#173) - Only one GPU available | |
| 90. Switching GPU vclMatrixBlock Single Precision Block Matrix multiplication (@test_switch_gpu_vclMatrixBlock_algebra.R#26) - Only one GPU available | |
| 91. Switching GPU vclMatrixBlock Single Precision Matrix Subtraction (@test_switch_gpu_vclMatrixBlock_algebra.R#55) - Only one GPU available | |
| 92. Switching GPU vclMatrixBlock Single Precision Scalar Matrix Subtraction (@test_switch_gpu_vclMatrixBlock_algebra.R#86) - Only one GPU available | |
| 93. Switching GPU vclMatrixBlock Single Precision Unary Scalar Matrix Subtraction (@test_switch_gpu_vclMatrixBlock_algebra.R#119) - Only one GPU available | |
| 94. Switching GPU vclMatrixBlock Single Precision Matrix Addition (@test_switch_gpu_vclMatrixBlock_algebra.R#145) - Only one GPU available | |
| 95. Switching GPU vclMatrixBlock Single Precision Scalar Matrix Addition (@test_switch_gpu_vclMatrixBlock_algebra.R#176) - Only one GPU available | |
| 96. Switching GPU vclMatrixBlock Single Precision Matrix Element-Wise Multiplication (@test_switch_gpu_vclMatrixBlock_algebra.R#209) - Only one GPU available | |
| 97. Switching GPU vclMatrixBlock Single Precision Scalar Matrix Multiplication (@test_switch_gpu_vclMatrixBlock_algebra.R#239) - Only one GPU available | |
| 98. Switching GPU vclMatrixBlock Single Precision Matrix Element-Wise Division (@test_switch_gpu_vclMatrixBlock_algebra.R#271) - Only one GPU available | |
| 99. Switching GPU vclMatrixBlock Single Precision Scalar Matrix Division (@test_switch_gpu_vclMatrixBlock_algebra.R#302) - Only one GPU available | |
| 100. Switching GPU vclMatrixBlock Single Precision Matrix Element-Wise Power (@test_switch_gpu_vclMatrixBlock_algebra.R#335) - Only one GPU available | |
| 101. Switching GPU vclMatrixBlock Single Precision Scalar Matrix Power (@test_switch_gpu_vclMatrixBlock_algebra.R#366) - Only one GPU available | |
| 102. Switching GPU vclMatrixBlock Single Precision crossprod (@test_switch_gpu_vclMatrixBlock_algebra.R#392) - Only one GPU available | |
| 103. Switching GPU vclMatrixBlock Single Precision tcrossprod (@test_switch_gpu_vclMatrixBlock_algebra.R#435) - Only one GPU available | |
| 104. Switching GPU vclMatrixBlock Double Precision Block Matrix multiplication (@test_switch_gpu_vclMatrixBlock_algebra.R#480) - Only one GPU available | |
| 105. Switching GPU vclMatrixBlock Double Precision Matrix Subtraction (@test_switch_gpu_vclMatrixBlock_algebra.R#510) - Only one GPU available | |
| 106. Switching GPU vclMatrixBlock Double Precision Scalar Matrix Subtraction (@test_switch_gpu_vclMatrixBlock_algebra.R#542) - Only one GPU available | |
| 107. Switching GPU vclMatrixBlock Double Precision Unary Scalar Matrix Subtraction (@test_switch_gpu_vclMatrixBlock_algebra.R#577) - Only one GPU available | |
| 108. Switching GPU vclMatrixBlock Double Precision Matrix Addition (@test_switch_gpu_vclMatrixBlock_algebra.R#604) - Only one GPU available | |
| 109. Switching GPU vclMatrixBlock Double Precision Scalar Matrix Addition (@test_switch_gpu_vclMatrixBlock_algebra.R#636) - Only one GPU available | |
| 110. Switching GPU vclMatrixBlock Double Precision Matrix Element-Wise Multiplication (@test_switch_gpu_vclMatrixBlock_algebra.R#670) - Only one GPU available | |
| 111. Switching GPU vclMatrixBlock Double Precision Scalar Matrix Multiplication (@test_switch_gpu_vclMatrixBlock_algebra.R#701) - Only one GPU available | |
| 112. Switching GPU vclMatrixBlock Double Precision Matrix Element-Wise Division (@test_switch_gpu_vclMatrixBlock_algebra.R#735) - Only one GPU available | |
| 113. Switching GPU vclMatrixBlock Double Precision Scalar Matrix Division (@test_switch_gpu_vclMatrixBlock_algebra.R#767) - Only one GPU available | |
| 114. Switching GPU vclMatrixBlock Double Precision Matrix Element-Wise Power (@test_switch_gpu_vclMatrixBlock_algebra.R#801) - Only one GPU available | |
| 115. Switching GPU vclMatrixBlock Double Precision Scalar Matrix Power (@test_switch_gpu_vclMatrixBlock_algebra.R#833) - Only one GPU available | |
| 116. Switching GPU vclMatrixBlock Double Precision crossprod (@test_switch_gpu_vclMatrixBlock_algebra.R#860) - Only one GPU available | |
| 117. Switching GPU vclMatrixBlock Double Precision tcrossprod (@test_switch_gpu_vclMatrixBlock_algebra.R#904) - Only one GPU available | |
| Failed ------------------------------------------------------------------------- | |
| 1. Failure: gpuVector Single Precision Element-Wise Logs (@test_gpuVector_math.R#140) | |
| fgpu_log2[, ] not equal to `R_log2`. | |
| 1/4 mismatches | |
| [4] -3.83 - -3.83 == 4.5e-07 | |
| base log float matrix elements not equivalent | |
| 2. Error: Non-Shared memory between vclMatrix & vclVector (@test_shared_memory.R#53) | |
| object 'type' not found | |
| 1: as.vclVector(gpuA) at /data/Installers/gpuR/tests/testthat/test_shared_memory.R:53 | |
| 2: as.vclVector(gpuA) at /data/Installers/gpuR/R/generics.R:31 | |
| 3: .local(object, type, ...) | |
| 4: new("fvclVector", address = vclMatTovclVec(object@address, shared, ctx_id, 6L), .context_index = [email protected]_index, | |
| .platform_index = [email protected]_index, .platform = [email protected], .device_index = [email protected]_index, | |
| .device = [email protected]) at /data/Installers/gpuR/R/methods-vclVector.R:40 | |
| 5: initialize(value, ...) | |
| 6: initialize(value, ...) | |
| 7: vclMatTovclVec(object@address, shared, ctx_id, 6L) at /data/Installers/gpuR/R/methods-vclVector.R:40 | |
| 3. Failure: vclVector Single Precision Matrix Element-Wise Logs (@test_vclVector_math.R#141) | |
| fgpu_log2[, ] not equal to `R_log2`. | |
| 1/4 mismatches | |
| [4] -3.83 - -3.83 == 4.5e-07 | |
| base log float matrix elements not equivalent | |
| DONE =========================================================================== | |
| > | |
| > |
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