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I have a laptop with AMD Ryzen 5 processor with integrated graphics. Now, there is installed opencl-mesa driver.
clinfo shows that there is an OpenCL device with OpenCL 1.1 support
I have made a test program for OpenCL:
#include <iostream>
#include <CL/cl.h>
#include <cstring>
const char* src1 = "__kernel void test(__global int* message)\n{\nint gid = get_global_id(0);\nmessage[gid] += gid;\n}\n";
int main()
{
cl_uint qwe;
cl_platform_id plat;
cl_int ret = clGetPlatformIDs(1, &plat, &qwe);
if (ret != CL_SUCCESS)
{
std::cout << "Error 1" << std::endl;
return 0;
}
cl_device_id dev;
ret = clGetDeviceIDs(plat, CL_DEVICE_TYPE_ALL, 1, &dev, &qwe);
if (ret != CL_SUCCESS)
{
std::cout << "Error 2" << std::endl;
return 0;
}
cl_context cont = clCreateContext(0, 1, &dev, 0, 0, &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 3" << std::endl;
return 0;
}
size_t l = strlen(src1);
cl_program prog = clCreateProgramWithSource(cont, 1, &src1, &l, &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 4" << std::endl;
return 0;
}
ret = clBuildProgram(prog, 1, &dev, 0, 0, 0);
if (ret != CL_SUCCESS)
{
std::cout << "Error 5" << std::endl;
return 0;
}
cl_mem buf = clCreateBuffer(cont, CL_MEM_READ_WRITE, 10000*sizeof(cl_int), 0, &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 6" << std::endl;
return 0;
}
cl_command_queue cmd = clCreateCommandQueue(cont, dev, 0, &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 7" << std::endl;
return 0;
}
cl_kernel krn = clCreateKernel(prog, "test", &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 8" << std::endl;
return 0;
}
cl_int data[10000] = {0};
ret = clEnqueueWriteBuffer(cmd, buf, CL_TRUE, 0, 10000*sizeof(cl_int), data, 0, 0, 0);
if (ret != CL_SUCCESS)
{
std::cout << "Error 9" << std::endl;
return 0;
}
ret = clSetKernelArg(krn, 0, sizeof(cl_mem), &buf);
if (ret != CL_SUCCESS)
{
std::cout << "Error 10 " << ret << std::endl;
return 0;
}
size_t q = 10000;
ret = clEnqueueNDRangeKernel(cmd, krn, 1, 0, &q, 0, 0, 0, 0);
if (ret != CL_SUCCESS)
{
std::cout << "Error 11 " << ret << std::endl;
return 0;
}
ret = clEnqueueReadBuffer(cmd, buf, CL_TRUE, 0, 10000*sizeof(cl_int), data, 0, 0, 0);
if (ret != CL_SUCCESS)
{
std::cout << "Error 12" << std::endl;
return 0;
}
std::cout << data[0] << " " << data[1] << " " << data[2] << " " << data[3] << std::endl;
std::cout << "Success!" << std::endl;
return 0;
}
But it hangs after kernels started to execute, how can I fix that?
Last edited by qwe8013 (2020-05-02 20:56:12)
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Does it show any output ?
How (exact command please) are you running the progam ?
Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.
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I added some output to my program:
#include <iostream>
#include <CL/cl.h>
#include <cstring>
const char* src1 = "__kernel void test(__global int* message)\n{\nint gid = get_global_id(0);\nmessage[gid] += gid;\n}\n";
int main()
{
cl_uint qwe;
cl_platform_id plat;
cl_int ret = clGetPlatformIDs(1, &plat, &qwe);
if (ret != CL_SUCCESS)
{
std::cout << "Error 1" << std::endl;
return 0;
}
std::cout << "clGetPlatformIDs" << std::endl;
cl_device_id dev;
ret = clGetDeviceIDs(plat, CL_DEVICE_TYPE_ALL, 1, &dev, &qwe);
if (ret != CL_SUCCESS)
{
std::cout << "Error 2" << std::endl;
return 0;
}
std::cout << "clGetDeviceIDs" << std::endl;
cl_context cont = clCreateContext(0, 1, &dev, 0, 0, &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 3" << std::endl;
return 0;
}
std::cout << "clCreateContext" << std::endl;
size_t l = strlen(src1);
cl_program prog = clCreateProgramWithSource(cont, 1, &src1, &l, &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 4" << std::endl;
return 0;
}
std::cout << "clCreateProgramWithSource" << std::endl;
ret = clBuildProgram(prog, 1, &dev, 0, 0, 0);
if (ret != CL_SUCCESS)
{
std::cout << "Error 5" << std::endl;
return 0;
}
std::cout << "clBuildProgram" << std::endl;
cl_mem buf = clCreateBuffer(cont, CL_MEM_READ_WRITE, 10000*sizeof(cl_int), 0, &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 6" << std::endl;
return 0;
}
std::cout << "clCreateBuffer" << std::endl;
cl_command_queue cmd = clCreateCommandQueue(cont, dev, 0, &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 7" << std::endl;
return 0;
}
std::cout << "clCreateCommandQueue" << std::endl;
cl_kernel krn = clCreateKernel(prog, "test", &ret);
if (ret != CL_SUCCESS)
{
std::cout << "Error 8" << std::endl;
return 0;
}
std::cout << "clCreateKernel" << std::endl;
cl_int data[10000] = {0};
ret = clEnqueueWriteBuffer(cmd, buf, CL_TRUE, 0, 10000*sizeof(cl_int), data, 0, 0, 0);
if (ret != CL_SUCCESS)
{
std::cout << "Error 9" << std::endl;
return 0;
}
std::cout << "clEnqueueWriteBuffer" << std::endl;
ret = clSetKernelArg(krn, 0, sizeof(cl_mem), &buf);
if (ret != CL_SUCCESS)
{
std::cout << "Error 10 " << ret << std::endl;
return 0;
}
std::cout << "clSetKernelArg" << std::endl;
size_t q = 10000;
ret = clEnqueueNDRangeKernel(cmd, krn, 1, 0, &q, 0, 0, 0, 0);
if (ret != CL_SUCCESS)
{
std::cout << "Error 11 " << ret << std::endl;
return 0;
}
std::cout << "clEnqueueNDRangeKernel" << std::endl;
ret = clEnqueueReadBuffer(cmd, buf, CL_TRUE, 0, 10000*sizeof(cl_int), data, 0, 0, 0);
if (ret != CL_SUCCESS)
{
std::cout << "Error 12" << std::endl;
return 0;
}
std::cout << "clEnqueueReadBuffer" << std::endl;
std::cout << data[0] << " " << data[1] << " " << data[2] << " " << data[3] << std::endl;
std::cout << "Success!" << std::endl;
return 0;
}
Does it show any output ?
How (exact command please) are you running the progam ?
I compile program with command:
g++ main.cpp -lOpenCL
and run it:
./a.out
output:
qwe8013@qwe8013-notebook ~/VSCodeProjects/ocl_test $ ./a.out
clGetPlatformIDs
clGetDeviceIDs
clCreateContext
clCreateProgramWithSource
clBuildProgram
clCreateBuffer
clCreateCommandQueue
clCreateKernel
clEnqueueWriteBuffer
clSetKernelArg
clEnqueueNDRangeKernel
PS
clinfo output:
qwe8013@qwe8013-notebook ~ $ clinfo
Number of platforms 1
Platform Name Clover
Platform Vendor Mesa
Platform Version OpenCL 1.1 Mesa 20.0.4
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_icd
Platform Extensions function suffix MESA
Platform Name Clover
Number of devices 1
Device Name AMD RAVEN (DRM 3.36.0, 5.6.3-arch1-1, LLVM 9.0.1)
Device Vendor AMD
Device Vendor ID 0x1002
Device Version OpenCL 1.1 Mesa 20.0.4
Driver Version 20.0.4
Device OpenCL C Version OpenCL C 1.1
Device Type GPU
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Max compute units 8
Max clock frequency 1200MHz
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Preferred work group size multiple 64
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 No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
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
Address bits 64, Little-Endian
Global memory size 3221225472 (3GiB)
Error Correction support No
Max memory allocation 2254857830 (2.1GiB)
Unified memory for Host and Device No
Minimum alignment for any data type 128 bytes
Alignment of base address 32768 bits (4096 bytes)
Global Memory cache type None
Image support No
Local memory type Local
Local memory size 32768 (32KiB)
Max number of constant args 16
Max constant buffer size 2147483647 (2GiB)
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Profiling timer resolution 0ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
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_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp64 cl_khr_fp16
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Clover
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [MESA]
clCreateContext(NULL, ...) [default] Success [MESA]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name Clover
Device Name AMD RAVEN (DRM 3.36.0, 5.6.3-arch1-1, LLVM 9.0.1)
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
Platform Name Clover
Device Name AMD RAVEN (DRM 3.36.0, 5.6.3-arch1-1, LLVM 9.0.1)
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 Clover
Device Name AMD RAVEN (DRM 3.36.0, 5.6.3-arch1-1, LLVM 9.0.1)
ICD loader properties
ICD loader Name OpenCL ICD Loader
ICD loader Vendor OCL Icd free software
ICD loader Version 2.2.12
ICD loader Profile OpenCL 2.2
Last edited by qwe8013 (2020-04-10 13:08:09)
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It does work here with my RX 580 videocard, so the code is valid.
$ ./a.out
clGetPlatformIDs
clGetDeviceIDs
clCreateContext
clCreateProgramWithSource
clBuildProgram
clCreateBuffer
clCreateCommandQueue
clCreateKernel
clEnqueueWriteBuffer
clSetKernelArg
clEnqueueNDRangeKernel
clEnqueueReadBuffer
0 1 2 3
Success!
$
$ clinfo
Number of platforms 1
Platform Name Clover
Platform Vendor Mesa
Platform Version OpenCL 1.1 Mesa 20.0.4
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_icd
Platform Extensions function suffix MESA
Platform Name Clover
Number of devices 1
Device Name Radeon RX 580 Series (POLARIS10, DRM 3.36.0, 5.6.3-arch1-1, LLVM 9.0.1)
Device Vendor AMD
Device Vendor ID 0x1002
Device Version OpenCL 1.1 Mesa 20.0.4
Driver Version 20.0.4
Device OpenCL C Version OpenCL C 1.1
Device Type GPU
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Max compute units 36
Max clock frequency 1366MHz
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Preferred work group size multiple 64
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 No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
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
Address bits 64, Little-Endian
Global memory size 8589934592 (8GiB)
Error Correction support No
Max memory allocation 6871947673 (6.4GiB)
Unified memory for Host and Device No
Minimum alignment for any data type 128 bytes
Alignment of base address 32768 bits (4096 bytes)
Global Memory cache type None
Image support No
Local memory type Local
Local memory size 32768 (32KiB)
Max number of constant args 16
Max constant buffer size 2147483647 (2GiB)
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Profiling timer resolution 0ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
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_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp64 cl_khr_fp16
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Clover
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [MESA]
clCreateContext(NULL, ...) [default] Success [MESA]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name Clover
Device Name Radeon RX 580 Series (POLARIS10, DRM 3.36.0, 5.6.3-arch1-1, LLVM 9.0.1)
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
Platform Name Clover
Device Name Radeon RX 580 Series (POLARIS10, DRM 3.36.0, 5.6.3-arch1-1, LLVM 9.0.1)
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 Clover
Device Name Radeon RX 580 Series (POLARIS10, DRM 3.36.0, 5.6.3-arch1-1, LLVM 9.0.1)
ICD loader properties
ICD loader Name OpenCL ICD Loader
ICD loader Vendor OCL Icd free software
ICD loader Version 2.2.12
ICD loader Profile OpenCL 2.2
$
Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.
clean chroot building not flexible enough ?
Try clean chroot manager by graysky
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It does work here with my RX 580 videocard, so the code is valid.
Thanks for testing.
But how to make OpenCL to work with AMD Ryzen 5 3500U with Radeon Vega Mobile Gfx × 8 ?
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https://wiki.archlinux.org/index.php/GPGPU gives an overview .
I'd try opencl-amd first. While it's proprietary it cooperates well with the mesa stack .
If you prefer an opensource solution you can try rocm. Be warned though building rocm is a lot of work and its stability is not very good on archlinux.
Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.
clean chroot building not flexible enough ?
Try clean chroot manager by graysky
Offline
OK, thanks, installing an opencl-amd helped.
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