He estado indagando por qué Clinfo no funciona en el ODROID-XU4, así que he dedicado un tiempo para descubrir el por qué. También me he dado cuenta que hay muchos mensajes en los que se comenta que clinfo no funciona en muchas SBC, y que no encuentran soluciones para ninguna SBC. Así que pensé que podría ser interesante investigar primero esto para asegurarnos de que OpenCL estuviera correctamente configurado antes de intentar solucionar los kernels OpenCL para el proyecto sgminer. La única vez, que había visto que no funcionaba en otras plataformas como x86_64, era cuando había un problema con el controlador de la GPU. Esto es lo que sucede cuando ejecutamos clinfo en un ODROID-XU4:
$ sudo apt-get install clinfo $ sudo clinfo Number of platforms 0La buena noticia es que hace poco logré que Clinfo funcionara correctamente, y ello me reportó un montón de información sobre la GPU Mali, lo cual es excelente. La información adicional nos ayudará a comprender y adecuar mejor la GPU. Parece que era necesario colocar el archivo ICD del proveedor para la GPU ARM en una ubicación específica.
$ sudo clinfo Number of platforms 1 Platform Name ARM Platform Platform Vendor ARM Platform Version OpenCL 1.2 v1.r12p0-04rel0.03af15950392f3702b248717f4938b82 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_byte_addressable_store cl_khr_3d_image_writes cl_khr_fp64 cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp16 cl_khr_gl_sharing cl_khr_icd cl_khr_egl_event cl_khr_egl_image cl_arm_core_id cl_arm_printf cl_arm_thread_limit_hint cl_arm_non_uniform_work_group_size cl_arm_import_memory Platform Extensions function suffix ARM Platform Name ARM Platform Number of devices 2 Device Name Mali-T628 Device Vendor ARM Device Vendor ID 0x6200010 Device Version OpenCL 1.2 v1.r12p0-04rel0.03af15950392f3702b248717f4938b82 Driver Version 1.2 Device OpenCL C Version OpenCL C 1.2 v1.r12p0-04rel0.03af15950392f3702b248717f4938b82 Device Type GPU Device Profile FULL_PROFILE Max compute units 4 Max clock frequency 600MHz Device Partition (core) Max number of sub-devices 0 Supported partition types None Max work item dimensions 3 Max work item sizes 256x256x256 Max work group size 256 Preferred work group size multiple 4 Preferred / native vector sizes char 16 / 16 short 8 / 8 int 4 / 4 long 2 / 2 half 8 / 8 (cl_khr_fp16) float 4 / 4 double 2 / 2 (cl_khr_fp64) Half-precision Floating-point support (cl_khr_fp16) 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 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 No 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 2090344448 (1.947GiB) Error Correction support No Max memory allocation 522586112 (498.4MiB) Unified memory for Host and Device Yes Minimum alignment for any data type 128 bytes Alignment of base address 1024 bits (128 bytes) Global Memory cache type Read/Write Global Memory cache size Global Memory cache line 64 bytes Image support Yes Max number of samplers per kernel 16 Max size for 1D images from buffer 65536 pixels Max 1D or 2D image array size 2048 images Max 2D image size 65536x65536 pixels Max 3D image size 65536x65536x65536 pixels Max number of read image args 128 Max number of write image args 8 Local memory type Global Local memory size 32768 (32KiB) Max constant buffer size 65536 (64KiB) Max number of constant args 8 Max size of kernel argument 1024 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 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_byte_addressable_store cl_khr_3d_image_writes cl_khr_fp64 cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp16 cl_khr_gl_sharing cl_khr_icd cl_khr_egl_event cl_khr_egl_image cl_arm_core_id cl_arm_printf cl_arm_thread_limit_hint cl_arm_non_uniform_work_group_size cl_arm_import_memory Device Name Mali-T628 Device Vendor ARM Device Vendor ID 0x6200010 Device Version OpenCL 1.2 v1.r12p0-04rel0.03af15950392f3702b248717f4938b82 Driver Version 1.2 Device OpenCL C Version OpenCL C 1.2 v1.r12p0-04rel0.03af15950392f3702b248717f4938b82 Device Type GPU Device Profile FULL_PROFILE Max compute units 2 Max clock frequency 600MHz Device Partition (core) Max number of sub-devices 0 Supported partition types None Max work item dimensions 3 Max work item sizes 256x256x256 Max work group size 256 Preferred work group size multiple 4 Preferred / native vector sizes char 16 / 16 short 8 / 8 int 4 / 4 long 2 / 2 half 8 / 8 (cl_khr_fp16) float 4 / 4 double 2 / 2 (cl_khr_fp64) Half-precision Floating-point support (cl_khr_fp16) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity I Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Correctly-rounded divide and sqrt operations No 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 No 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 2090344448 (1.947GiB) Error Correction support No Max memory allocation 522586112 (498.4MiB) Unified memory for Host and Device Yes Minimum alignment for any data type 128 bytes Alignment of base address 1024 bits (128 bytes) Global Memory cache type Read/Write Global Memory cache size Global Memory cache line 64 bytes Image support Yes Max number of samplers per kernel 16 Max size for 1D images from buffer 65536 pixels Max 1D or 2D image array size 2048 images Max 2D image size 65536x65536 pixels Max 3D image size 65536x65536x65536 pixels Max number of read image args 128 Max number of write image args 8 Local memory type Global Local memory size 32768 (32KiB) Max constant buffer size 65536 (64KiB) Max number of constant args 8 Max size of kernel argument 1024 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 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_byte_addressable_store cl_khr_3d_image_writes cl_khr_fp64 cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp16 cl_khr_gl_sharing cl_khr_icd cl_khr_egl_event cl_khr_egl_image cl_arm_core_id cl_arm_printf cl_arm_thread_limit_hint cl_arm_non_uniform_work_group_size cl_arm_import_memory NULL platform behavior clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) ARM Platform clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [ARM] clCreateContext(NULL, ...) [default] Success [ARM] clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (2) Platform Name ARM Platform Device Name Mali-T628 Device Name Mali-T628 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) Success (2) Platform Name ARM Platform Device Name Mali-T628 Device Name Mali-T628 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.En las plataformas x86, parece que la instalación de los archivos del proveedor ICD y las librerias OpenCL se realiza durante la instalación del controlador. Esta podría ser la razón por la que no he visto que Clinfo funcione en ARM. ¿Debería el archivo ICD ser parte de la configuración realizada por Hardkernel como proveedor? Instala la buffer de imagen y clinfo si aún no está:
$ sudo apt-get install mali-fbdev clinfoA continuación, configura el archivo ICD del proveedor, después al ejecutar clinfo debería reportar correctamente la información de la GPU Mali:
$ sudo mkdir /etc/OpenCL $ sudo mkdir /etc/OpenCL/vendors $ echo "/usr/lib/arm-linux-gnueabihf/mali-egl/libOpenCL.so" > /etc/OpenCL/vendors/armocl.icdAunque las librerrias OpenCL y los archivos include no son necesarios para clinfo, no existe una ubicación estándar para su instalación. He leído muchas cosas, aunque este post parece tener la mejor solucion, parece estar pasado de moda. Los siguientes pasos muestran específicamente cómo usar las ubicaciones consensuadas que AMD, NVIDIA e INTEL siguen (ed) para las librerías y los archivos include. No se necesitan referencias explícitas para vincular las librerías de OpenCL.
Primero, descarga el código fuente de ComputeLibrary, o use la libreria ARM Computer Vision y Machine Learning existente:
https://github.com/ARM-software/ComputeLibrary
$ cd /opt $ sudo tar -xvzf ~/arm_compute-v18.01-bin.tar.gz $ cd ~/ $ rm arm_compute-v18.01-bin.tar.gz $ sudo cp /opt/arm_compute-v18.01-bin/include/CL/* /usr/include/CL/ $ sudo mkdir /usr/lib/OpenCL $ sudo mkdir /usr/lib/OpenCL/vendors $ sudo mkdir /usr/lib/OpenCL/vendors/arm $ sudo cp /opt/arm_compute-v18.01-bin/lib/linux-armv7a-cl/* /usr/lib/OpenCL/vendors/arm/ $ sudo echo "/usr/lib/OpenCL/vendors/arm" > /etc/ld.so.conf.d/opencl-vendor-arm.conf $ sudo ldconfigToda la ayuda y comentarios son bienvenidos y apreciados, el hilo de soporte del foro se encuentra en https://forum.odroid.com/viewtopic.php?f=95&t=30141.
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