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Can't compile for OpenCL 1.2

Open w3333 opened this issue 1 year ago • 3 comments

I have an AMD 5700G CPU with internal GPU. There is no official driver from AMD to support OpenCL, but there is an OpenCL implementation that does: http://portablecl.org/index.html

I installed this and clinfo gives me an OpenCL target: `~/KataGo$ clinfo Number of platforms 1 Platform Name Portable Computing Language Platform Vendor The pocl project Platform Version OpenCL 2.0 pocl 1.8 Linux, None+Asserts, RELOC, LLVM 11.1.0, SLEEF, DISTRO, POCL_DEBUG Platform Profile FULL_PROFILE Platform Extensions cl_khr_icd cl_pocl_content_size Platform Extensions function suffix POCL

Platform Name Portable Computing Language Number of devices 1 Device Name pthread-AMD Ryzen 7 5700G with Radeon Graphics Device Vendor AuthenticAMD Device Vendor ID 0x1022 Device Version OpenCL 1.2 pocl HSTR: pthread-x86_64-pc-linux-gnu-generic Driver Version 1.8 Device OpenCL C Version OpenCL C 1.2 pocl Device Type CPU Device Profile FULL_PROFILE Device Available Yes Compiler Available Yes Linker Available Yes Max compute units 16 Max clock frequency 4673MHz Device Partition (core) Max number of sub-devices 16 Supported partition types equally, by counts Supported affinity domains (n/a) Max work item dimensions 3 Max work item sizes 4096x4096x4096 Max work group size 4096 === CL_PROGRAM_BUILD_LOG === error: unknown target CPU 'generic' Device pthread-AMD Ryzen 7 5700G with Radeon Graphics failed to build the program, log: error: unknown target CPU 'generic' Preferred work group size multiple (kernel) <getWGsizes:1504: create kernel : error -45> Preferred / native vector sizes
char 16 / 16
short 16 / 16
int 8 / 8
long 4 / 4
half 0 / 0 (n/a) float 8 / 8
double 4 / 4 (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 Address bits 64, Little-Endian Global memory size 31333728256 (29.18GiB) Error Correction support No Max memory allocation 8589934592 (8GiB) 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 16777216 (16MiB) Global Memory cache line size 64 bytes Image support Yes Max number of samplers per kernel 16 Max size for 1D images from buffer 536870912 pixels Max 1D or 2D image array size 2048 images Max 2D image size 16384x16384 pixels Max 3D image size 2048x2048x2048 pixels Max number of read image args 128 Max number of write image args 128 Local memory type Global Local memory size 524288 (512KiB) Max number of constant args 8 Max constant buffer size 524288 (512KiB) Max size of kernel argument 1024 Queue properties
Out-of-order execution Yes Profiling Yes Prefer user sync for interop Yes Profiling timer resolution 1ns Execution capabilities
Run OpenCL kernels Yes Run native kernels Yes printf() buffer size 16777216 (16MiB) Built-in kernels (n/a) Device Extensions cl_khr_byte_addressable_store 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_3d_image_writes cl_khr_fp64 cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp64

NULL platform behavior clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Portable Computing Language clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [POCL] clCreateContext(NULL, ...) [default] Success [POCL] clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1) Platform Name Portable Computing Language Device Name pthread-AMD Ryzen 7 5700G with Radeon Graphics clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) Success (1) Platform Name Portable Computing Language Device Name pthread-AMD Ryzen 7 5700G with Radeon Graphics clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No devices found in 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) Success (1) Platform Name Portable Computing Language Device Name pthread-AMD Ryzen 7 5700G with Radeon Graphics

ICD loader properties ICD loader Name OpenCL ICD Loader ICD loader Vendor OCL Icd free software ICD loader Version 2.2.14 ICD loader Profile OpenCL 3.0 `

When I try to build the OpenCL backend I get: `~/KataGo/cpp$ cmake . -DUSE_BACKEND=OPENCL -- Building 'katago' executable for GTP engine and other tools. -- -DUSE_BACKEND=OPENCL, using OpenCL backend. -- Including Git revision in the compiled executable, specify -DNO_GIT_REVISION=1 to disable -- Could NOT find OpenCL (missing: OpenCL_LIBRARY OpenCL_INCLUDE_DIR) CMake Warning at CMakeLists.txt:324 (message): OpenCL not found, attempting to see if CUDA exists and has OpenCL since sometimes CUDA may provide OpenCL where cmake can't find it.

-- Could not find nvcc, please set CUDAToolkit_ROOT. CMake Error at CMakeLists.txt:327 (message): OpenCL installation not found

-- Configuring incomplete, errors occurred! See also "/home/werner/KataGo/cpp/CMakeFiles/CMakeOutput.log". See also "/home/werner/KataGo/cpp/CMakeFiles/CMakeError.log". `

There is a line with an error in the clinfo output, maybe that's the problem? Any clue how to fix that?

w3333 avatar Mar 04 '24 08:03 w3333

Hi, I am trying to give you some advice. For your igpu like Ryzen 5700G, the graphic core arch is still same as Vega dgpu so you can try to install driver from gpu like Radeon Vii, reference the guide Radeon™ Software for Linux® Installation.

ntkylin avatar Mar 08 '24 01:03 ntkylin

Do you know where the lib and include dirs are for your OpenCL installation? If so, it may work to specify -DOpenCL_LIBRARY=... -DOpenCL_INCLUDE_DIR=... but replacing the ... with the appropriate paths to those directories when running cmake.

lightvector avatar Mar 09 '24 13:03 lightvector

Hi David, thanks for your answer. I installed pocl via apt (sudo apt install pocl-opencl-icd), so I guess no source code was installed this way - but I'm not a dev. So I got the source for the project (git clone https://github.com/pocl/pocl.git), and tried as you said... but then I get :~/KataGo/cpp$ cmake . -DUSE_BACKEND=OPENCL -DOpenCL_LIBRARY=~/Downloads/pocl/lib -DOpenCL_INCLUDE_DIR=~/Downloads/pocl/include -- Building 'katago' executable for GTP engine and other tools. -- -DUSE_BACKEND=OPENCL, using OpenCL backend. -- Including Git revision in the compiled executable, specify -DNO_GIT_REVISION=1 to disable -- Found OpenCL: /home/werner/Downloads/pocl/lib -- Setting up build for GNU or Clang. -- Enabling GNU-specific build options. -- Configuring done WARNING: Target "katago" requests linking to directory "/home/werner/Downloads/pocl/lib". Targets may link only to libraries. CMake is dropping the item. -- Generating done -- Build files have been written to: /home/werner/KataGo/cpp

And then when I try "make" anyway, I get a trillion errors like /usr/bin/ld: /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:3204: undefined reference to clReleaseMemObject' /usr/bin/ld: /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:3205: undefined reference to clReleaseMemObject' /usr/bin/ld: /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:3206: undefined reference to clReleaseMemObject' /usr/bin/ld: CMakeFiles/katago.dir/neuralnet/openclbackend.cpp.o: in function BatchNormLayer::~BatchNormLayer()': /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:895: undefined reference to clReleaseMemObject' /usr/bin/ld: /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:896: undefined reference to clReleaseMemObject' /usr/bin/ld: CMakeFiles/katago.dir/neuralnet/openclbackend.cpp.o: in function NeuralNet::testEvaluateConv(ConvLayerDesc const*, int, int, int, bool, bool, std::vector<float, std::allocator > const&, std::vector<float, std::allocator >&)': /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:3143: undefined reference to clCreateBuffer' /usr/bin/ld: /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:3149: undefined reference to clReleaseMemObject' /usr/bin/ld: /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:3150: undefined reference to clReleaseMemObject' /usr/bin/ld: /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:3151: undefined reference to clReleaseMemObject' /usr/bin/ld: /home/werner/KataGo/cpp/neuralnet/openclbackend.cpp:3152: undefined reference to clReleaseMemObject' /

which is probably due to the "lib" error in the first step. Is that fixable easily? Sorry, no dev here :)

w3333 avatar Mar 27 '24 19:03 w3333