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oneapi-src / oneAPI-samples

Samples for Intel® oneAPI Toolkits
https://oneapi-src.github.io/oneAPI-samples/
MIT License
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GPU acceleration support is not available #2422

Open leoppark94 opened 1 month ago

leoppark94 commented 1 month ago

Summary

There is an issue where graphics acceleration support for 13th generation Intel CPUs is not available.

Is there a way to verify if GPU acceleration is possible?

Why is my laptop unable to recognize it?

Version

I tested it using the image from https://hub.docker.com/r/intel/oneapi.

Environment

lscpu - click to extand ``` Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 39 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 16 On-line CPU(s) list: 0-15 Vendor ID: GenuineIntel Model name: 13th Gen Intel(R) Core(TM) i7-1360P CPU family: 6 Model: 186 Thread(s) per core: 2 Core(s) per socket: 12 Socket(s): 1 Stepping: 2 CPU(s) scaling MHz: 31% CPU max MHz: 5000.0000 CPU min MHz: 400.0000 BogoMIPS: 5222.40 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc ar t arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhance d tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetb v1 xsaves split_lock_detect user_shstk avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi vnmi umip pku ospke waitpkg gfni vaes vpclmulqdq rdpid movdiri movdir64b fsrm md_clear serialize arch_lbr ibt flush_l1d arch_capabilities Virtualization features: Virtualization: VT-x Caches (sum of all): L1d: 448 KiB (12 instances) L1i: 640 KiB (12 instances) L2: 9 MiB (6 instances) L3: 18 MiB (1 instance) NUMA: NUMA node(s): 1 NUMA node0 CPU(s): 0-15 Vulnerabilities: Gather data sampling: Not affected Itlb multihit: Not affected L1tf: Not affected Mds: Not affected Meltdown: Not affected Mmio stale data: Not affected Reg file data sampling: Mitigation; Clear Register File Retbleed: Not affected Spec rstack overflow: Not affected Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S Srbds: Not affected Tsx async abort: Not affected ```
lspci -vvnn | grep "VGA compatible controller" - click to expand ``` 00:02.0 VGA compatible controller [0300]: Intel Corporation Raptor Lake-P [Iris Xe Graphics] [8086:a7a0] (rev 04) (prog-if 00 [VGA controller]) ```

I ran the Docker image with the -it option and proceeded as follows:

cd /
mkdir workspace
cd workspace
git clone https://github.com/oneapi-src/oneAPI-samples.git

Steps to reproduce

I conducted a total of three tests.

1. For the test at https://github.com/oneapi-src/oneAPI-samples/tree/master/Libraries/oneDNN/getting_started:

mkdir build
cd build
cmake ..
make
export DNNL_VERBOSE=1
./bin/getting-started-cpp

Result

onednn_verbose,info,oneDNN v3.5.0 (commit 302c601036103dd8391ac583030abd2e19a75f92)
onednn_verbose,info,cpu,runtime:DPC++,nthr:16
onednn_verbose,info,cpu,isa:Intel AVX2 with Intel DL Boost
onednn_verbose,info,gpu,runtime:DPC++
onednn_verbose,info,cpu,engine,0,backend:OpenCL,name:13th Gen Intel(R) Core(TM) i7-1360P,driver_version:2024.18.6,binary_kernels:disabled
onednn_verbose,info,graph,backend,0:dnnl_backend
onednn_verbose,primitive,info,template:operation,engine,primitive,implementation,prop_kind,memory_descriptors,attributes,auxiliary,problem_desc,exec_time
onednn_verbose,graph,info,template:operation,engine,partition_id,partition_kind,op_names,data_formats,logical_tensors,fpmath_mode,backend,exec_time
onednn_verbose,primitive,exec,cpu,eltwise,jit:avx2,forward_inference,data_f32::blocked:acdb::f0 diff_undef::undef:::,,alg:eltwise_relu alpha:0 beta:0,1x3x13x13,0.231201
Example passed on CPU.

if I run:

./bin/getting-started-cpp gpu

Result

root@e77315b5cda4:/workspace/oneAPI-samples/Libraries/oneDNN/getting_started/build# ./bin/getting-started-cpp gpu
Application couldn't find GPU, please run with CPU instead.

2. For the test at https://github.com/oneapi-src/oneAPI-samples/tree/master/DirectProgramming/C++SYCL/DenseLinearAlgebra/vector-add:

mkdir build
cd build
cmake ..
make spu-gpu
./vector-add-buffers

Result

root@e77315b5cda4:/workspace/oneAPI-samples/DirectProgramming/C++SYCL/DenseLinearAlgebra/vector-add/build# ./vector-add-buffers
Running on device: 13th Gen Intel(R) Core(TM) i7-1360P
Vector size: 10000
[0]: 0 + 0 = 0
[1]: 1 + 1 = 2
[2]: 2 + 2 = 4
...
[9999]: 9999 + 9999 = 19998
Vector add successfully completed on device.
  1. For the test at https://github.com/oneapi-src/oneAPI-samples/tree/master/AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_Horovod_Distributed_Deep_Learning:

Even when I run !sycl-ls, only the CPU is listed.

Observed behavior

Cannot find my GPU

Expected behavior

GPU acceleration works