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I have a couple of N4020 Celeron with Mesa UHD 600 graphics (GLK2) systems running Ubuntu 20.04 and OpenVINO 2021.3 that run Darknet Yolo4 on the iGPU. I updated one of them to Ubuntu 22.04 and pip installed openvino 2024.3 in a VENV virtual environment to run Ultralytics Yolo8 on the iGPU. But running code that works fine on other systems I get this error:
[INFO] Using OpenVINO: 2024.2.0-15519-5c0f38f83f6-releases/2024/2
Available devices:
CPU: Intel(R) Celeron(R) N4020 CPU @ 1.10GHz
GPU: Intel(R) UHD Graphics 600 [0x3185] (iGPU)
Traceback (most recent call last):
File "/home/ai/LearnTestOV/yolo8ov.py", line 45, in <module>
det_compiled_model = core.compile_model(det_ov_model, "GPU", ov_config)
File "/home/ai/xyz/lib/python3.10/site-packages/openvino/runtime/ie_api.py", line 543, in compile_model
super().compile_model(model, device_name, {} if config is None else config),
RuntimeError: Exception from src/inference/src/cpp/core.cpp:104:
Exception from src/inference/src/dev/plugin.cpp:54:
Check 'false' failed at src/plugins/intel_gpu/src/plugin/program_builder.cpp:185:
[GPU] ProgramBuilder build failed!
Exception from src/plugins/intel_gpu/src/runtime/ocl/ocl_stream.cpp:429:
[GPU] clWaitForEvents, error code: -14
Note: I saved this error message from 2024.2, but upgrading to 2024.3 didn't change anything, so I'm posting this question now since installing all these "neo" driver packages and rebooting didn't change anything either:
https://github.com/intel/compute-runtime/releases/tag/24.31.30508.7
Edit: Should mention that running kernel:
6.8.0-40-generic #40~22.04.3-Ubuntu SMP PREEMPT_DYNAMIC Tue Jul 30 17:30:19 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
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Hi Wb666greene,
Thanks for reaching out. What version of your OpenCL drivers are you using? The validated version with the latest OpenVINO is 22.43 for Ubuntu 22.04.
You can find out this using 'clinfo'
Regards,
Aznie
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clinfo dumps out a lot, I'll upload a clinfo.txt file of what it says.
Not much of it means anything to me, but it does say: "Platform Version OpenCL 3.0"
I noticed this is a "Gemini-Lake" system, which on the page I got the "latest" drivers from, says Quality: "Maintenance" and there are "--" for "level zero" in the table.
I may be out of luck in terms of running yolo8 on its iGPU, my project is here:
https://github.com/wb666greene/AI-Person-Detector-with-YOLO-verification-Version-2
I can run it with two Coral TPUs, but at $60 for a USB TPU it basically kills the economy of using this system as a host for four or fewer cameras. The previous version of my system runs on this iGPU using Ubuntu 20.04 and OpenVINO 2021.3 and yolo4, but yolo8 is demonstrably better than yolo4 for my use case.
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Hi Wb666greene,
You can try running the following commands on a Linux* terminal. If the output is empty, then the compute-runtime driver is not present in the system.
$ export gfx_version=$(dpkg-query --showformat='${Version}' --show intel-opencl-icd)
$ echo $gfx_version
Regards,
Aznie
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Thanks, here are the results:
ai@hb2:~$ export gfx_version=$(dpkg-query --showformat='${Version}' --show intel-opencl-icd)
ai@hb2:~$ echo $gfx_version
24.31.30508.7I'd for there to be a solution for this.
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Hi Wb666greene,
We are checking this with the engineering team and will get back to you once the information is available.
Regards,
Aznie
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Hello Wally,
I see that you're using an older version of the compute runtime driver. Do you have an option to update it to the latest one? https://github.com/intel/compute-runtime/releases/tag/24.35.30872.22
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Thanks for your response, I'd really like to get this to work if possible.
Clearly the driver packaged with Ubuntu 22.04 didn't work for this system, although it did for the other six iGPU systems I've tried, although this is the "lowest spec" system I've tried yet. I had installed the 24.31 version following a link in some on-line doc I'd found Googling the error message before posting the original message. I redid it with 24.35 drivers and it still looks like the same error:
~$ echo $gfx_version
24.35.30872.22
image 1/1 /home/ai/LearnTestOV/AI/TestDetection.jpg: 512x640 1 person, 1 snowboard, 2105.5ms
Speed: 5.4ms preprocess, 2105.5ms inference, 710.6ms postprocess per image at shape (1, 3, 512, 640)
[INFO] Using OpenVINO: 2024.3.0-16041-1e3b88e4e3f-releases/2024/3
Available devices:
CPU: Intel(R) Celeron(R) N4020 CPU @ 1.10GHz
GPU: Intel(R) UHD Graphics 600 (iGPU)
Traceback (most recent call last):
File "/home/ai/LearnTestOV/yolo8ov.py", line 46, in <module>
det_compiled_model = core.compile_model(det_ov_model, "GPU", ov_config)
File "/home/ai/y8ovv/lib/python3.10/site-packages/openvino/runtime/ie_api.py", line 543, in compile_model
super().compile_model(model, device_name, {} if config is None else config),
RuntimeError: Exception from src/inference/src/cpp/core.cpp:104:
Exception from src/inference/src/dev/plugin.cpp:53:
Check 'false' failed at src/plugins/intel_gpu/src/plugin/program_builder.cpp:185:
[GPU] ProgramBuilder build failed!
Exception from src/plugins/intel_gpu/src/runtime/ocl/ocl_stream.cpp:429:
[GPU] clWaitForEvents, error code: -14
Frustrating, that I could use the iGPU on this system with OpenVINO 2021.3 for Darknet YOLO4 on Ubuntu 20.04 but not the much improved Ultralytics YOLO8 with and 2024.3
I guess I can try 2024.4 as I just got a notification that is has been released, but if it is a driver problem I doubt it'd help. I'll do it eventually as I need to verify that 2024.4 doesn't break anything in my code, going from 2024.2 to 2024.3 was fine.
It seems like it is something in the cpp code that python calls, in the past I've had issues with cmake versions, this system has cmake version 3.22.1 if it might matter.
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Thank you for your feedback. Would you still like to attempt with 2024.4 or should I consult this case with developers?
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I just upgraded this system to 2024.4, made no difference. If you think the "Gemini Lake" iGPU should work I'd like a solution if there is one.
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Thank you for your reply. I opened an issue with the developers in order to resolve this case fully. As soon as I learn more, I will get back to you.
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Hello Wally, could you please run diagnostic commands "clinfo" and "hello_query_device" and post the results here? Thank you.
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Hello Wally, there was no response from you for a while. Please provide the output of the diagnostic commands indicated. Otherwise, in 4 business days we will consider your case as resolved.
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~$ clinfo
Number of platforms 1
Platform Name Intel(R) OpenCL Graphics
Platform Vendor Intel(R) Corporation
Platform Version OpenCL 3.0
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_byte_addressable_store cl_khr_device_uuid cl_khr_fp16 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_command_queue_families cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_driver_diagnostics cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_intel_subgroups_char cl_intel_subgroups_long cl_khr_il_program cl_intel_mem_force_host_memory cl_khr_subgroup_extended_types cl_khr_subgroup_non_uniform_vote cl_khr_subgroup_ballot cl_khr_subgroup_non_uniform_arithmetic cl_khr_subgroup_shuffle cl_khr_subgroup_shuffle_relative cl_khr_subgroup_clustered_reduce cl_intel_device_attribute_query cl_khr_extended_bit_ops cl_khr_suggested_local_work_size cl_intel_split_work_group_barrier cl_khr_fp64 cl_ext_float_atomics cl_khr_external_memory cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_advanced_motion_estimation cl_khr_image2d_from_buffer cl_khr_depth_images cl_khr_3d_image_writes cl_intel_media_block_io cl_khr_gl_sharing cl_khr_gl_depth_images cl_khr_gl_event cl_khr_gl_msaa_sharing cl_intel_va_api_media_sharing cl_intel_sharing_format_query cl_khr_pci_bus_info
Platform Extensions with Version cl_khr_byte_addressable_store 0x400000 (1.0.0)
cl_khr_device_uuid 0x400000 (1.0.0)
cl_khr_fp16 0x400000 (1.0.0)
cl_khr_global_int32_base_atomics 0x400000 (1.0.0)
cl_khr_global_int32_extended_atomics 0x400000 (1.0.0)
cl_khr_icd 0x400000 (1.0.0)
cl_khr_local_int32_base_atomics 0x400000 (1.0.0)
cl_khr_local_int32_extended_atomics 0x400000 (1.0.0)
cl_intel_command_queue_families 0x400000 (1.0.0)
cl_intel_subgroups 0x400000 (1.0.0)
cl_intel_required_subgroup_size 0x400000 (1.0.0)
cl_intel_subgroups_short 0x400000 (1.0.0)
cl_khr_spir 0x400000 (1.0.0)
cl_intel_accelerator 0x400000 (1.0.0)
cl_intel_driver_diagnostics 0x400000 (1.0.0)
cl_khr_priority_hints 0x400000 (1.0.0)
cl_khr_throttle_hints 0x400000 (1.0.0)
cl_khr_create_command_queue 0x400000 (1.0.0)
cl_intel_subgroups_char 0x400000 (1.0.0)
cl_intel_subgroups_long 0x400000 (1.0.0)
cl_khr_il_program 0x400000 (1.0.0)
cl_intel_mem_force_host_memory 0x400000 (1.0.0)
cl_khr_subgroup_extended_types 0x400000 (1.0.0)
cl_khr_subgroup_non_uniform_vote 0x400000 (1.0.0)
cl_khr_subgroup_ballot 0x400000 (1.0.0)
cl_khr_subgroup_non_uniform_arithmetic 0x400000 (1.0.0)
cl_khr_subgroup_shuffle 0x400000 (1.0.0)
cl_khr_subgroup_shuffle_relative 0x400000 (1.0.0)
cl_khr_subgroup_clustered_reduce 0x400000 (1.0.0)
cl_intel_device_attribute_query 0x400000 (1.0.0)
cl_khr_extended_bit_ops 0x400000 (1.0.0)
cl_khr_suggested_local_work_size 0x400000 (1.0.0)
cl_intel_split_work_group_barrier 0x400000 (1.0.0)
cl_khr_fp64 0x400000 (1.0.0)
cl_ext_float_atomics 0x400000 (1.0.0)
cl_khr_external_memory 0x9001 (0.9.1)
cl_intel_planar_yuv 0x400000 (1.0.0)
cl_intel_packed_yuv 0x400000 (1.0.0)
cl_intel_motion_estimation 0x400000 (1.0.0)
cl_intel_device_side_avc_motion_estimation 0x400000 (1.0.0)
cl_intel_advanced_motion_estimation 0x400000 (1.0.0)
cl_khr_image2d_from_buffer 0x400000 (1.0.0)
cl_khr_depth_images 0x400000 (1.0.0)
cl_khr_3d_image_writes 0x400000 (1.0.0)
cl_intel_media_block_io 0x400000 (1.0.0)
cl_khr_gl_sharing 0x400000 (1.0.0)
cl_khr_gl_depth_images 0x400000 (1.0.0)
cl_khr_gl_event 0x400000 (1.0.0)
cl_khr_gl_msaa_sharing 0x400000 (1.0.0)
cl_intel_va_api_media_sharing 0x400000 (1.0.0)
cl_intel_sharing_format_query 0x400000 (1.0.0)
cl_khr_pci_bus_info 0x400000 (1.0.0)
Platform Numeric Version 0xc00000 (3.0.0)
Platform Extensions function suffix INTEL
Platform Host timer resolution 1ns
Platform Name Intel(R) OpenCL Graphics
Number of devices 1
Device Name Intel(R) UHD Graphics 600
Device Vendor Intel(R) Corporation
Device Vendor ID 0x8086
Device Version OpenCL 3.0 NEO
Device UUID 86808531-0600-0000-0002-000000000000
Driver UUID 32342e33-352e-3330-3837-322e32320000
Valid Device LUID No
Device LUID 5098-b82cfd7f0000
Device Node Mask 0
Device Numeric Version 0xc00000 (3.0.0)
Driver Version 24.35.30872.22
Device OpenCL C Version OpenCL C 1.2
Device OpenCL C all versions OpenCL C 0x400000 (1.0.0)
OpenCL C 0x401000 (1.1.0)
OpenCL C 0x402000 (1.2.0)
OpenCL C 0xc00000 (3.0.0)
Device OpenCL C features __opencl_c_int64 0xc00000 (3.0.0)
__opencl_c_3d_image_writes 0xc00000 (3.0.0)
__opencl_c_images 0xc00000 (3.0.0)
__opencl_c_read_write_images 0xc00000 (3.0.0)
__opencl_c_fp64 0xc00000 (3.0.0)
Latest comfornace test passed v2024-02-27-00
Device Type GPU
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 12
Max clock frequency 650MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types None
Supported affinity domains (n/a)
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Preferred work group size multiple (device) 32
Preferred work group size multiple (kernel) 32
Max sub-groups per work group 0
Sub-group sizes (Intel) 8, 16, 32
Preferred / native vector sizes
char 16 / 16
short 8 / 8
int 4 / 4
long 1 / 1
half 8 / 8 (cl_khr_fp16)
float 1 / 1
double 1 / 1 (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
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 32, Little-Endian
Global memory size 3214745600 (2.994GiB)
Error Correction support No
Max memory allocation 1607372800 (1.497GiB)
Unified memory for Host and Device Yes
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing No
Fine-grained system sharing No
Atomics No
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Preferred alignment for atomics
SVM 64 bytes
Global 64 bytes
Local 64 bytes
Atomic memory capabilities relaxed, work-group scope
Atomic fence capabilities relaxed, acquire/release, work-group scope
Max size for global variable 0
Preferred total size of global vars 0
Global Memory cache type Read/Write
Global Memory cache size 393216 (384KiB)
Global Memory cache line size 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 100460800 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 4 bytes
Pitch alignment for 2D image buffers 4 pixels
Max 2D image size 16384x16384 pixels
Max planar YUV image size 16384x16352 pixels
Max 3D image size 16384x16384x2048 pixels
Max number of read image args 128
Max number of write image args 128
Max number of read/write image args 128
Pipe support No
Max number of pipe args 0
Max active pipe reservations 0
Max pipe packet size 0
Local memory type Local
Local memory size 65536 (64KiB)
Max number of constant args 8
Max constant buffer size 1607372800 (1.497GiB)
Generic address space support No
Max size of kernel argument 2048 (2KiB)
Queue properties (on host)
Out-of-order execution Yes
Profiling Yes
Device enqueue capabilities (n/a)
Queue properties (on device)
Out-of-order execution No
Profiling No
Preferred size 0
Max size 0
Max queues on device 0
Max events on device 0
Prefer user sync for interop Yes
Profiling timer resolution 52ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
Non-uniform work-groups Yes
Work-group collective functions No
Sub-group independent forward progress No
IL version SPIR-V_1.3 SPIR-V_1.2 SPIR-V_1.1 SPIR-V_1.0
ILs with version SPIR-V 0x403000 (1.3.0)
SPIR-V 0x402000 (1.2.0)
SPIR-V 0x401000 (1.1.0)
SPIR-V 0x400000 (1.0.0)
SPIR versions 1.2
printf() buffer size 4194304 (4MiB)
Built-in kernels block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel;
Built-in kernels with version block_motion_estimate_intel 0x400000 (1.0.0)
block_advanced_motion_estimate_check_intel 0x400000 (1.0.0)
block_advanced_motion_estimate_bidirectional_check_intel 0x400000 (1.0.0)
Motion Estimation accelerator version (Intel) 2
Device-side AVC Motion Estimation version 1
Supports texture sampler use Yes
Supports preemption No
Device Extensions cl_khr_byte_addressable_store cl_khr_device_uuid cl_khr_fp16 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_command_queue_families cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_driver_diagnostics cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_intel_subgroups_char cl_intel_subgroups_long cl_khr_il_program cl_intel_mem_force_host_memory cl_khr_subgroup_extended_types cl_khr_subgroup_non_uniform_vote cl_khr_subgroup_ballot cl_khr_subgroup_non_uniform_arithmetic cl_khr_subgroup_shuffle cl_khr_subgroup_shuffle_relative cl_khr_subgroup_clustered_reduce cl_intel_device_attribute_query cl_khr_extended_bit_ops cl_khr_suggested_local_work_size cl_intel_split_work_group_barrier cl_khr_fp64 cl_ext_float_atomics cl_khr_external_memory cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_advanced_motion_estimation cl_khr_image2d_from_buffer cl_khr_depth_images cl_khr_3d_image_writes cl_intel_media_block_io cl_khr_gl_sharing cl_khr_gl_depth_images cl_khr_gl_event cl_khr_gl_msaa_sharing cl_intel_va_api_media_sharing cl_intel_sharing_format_query cl_khr_pci_bus_info
Device Extensions with Version cl_khr_byte_addressable_store 0x400000 (1.0.0)
cl_khr_device_uuid 0x400000 (1.0.0)
cl_khr_fp16 0x400000 (1.0.0)
cl_khr_global_int32_base_atomics 0x400000 (1.0.0)
cl_khr_global_int32_extended_atomics 0x400000 (1.0.0)
cl_khr_icd 0x400000 (1.0.0)
cl_khr_local_int32_base_atomics 0x400000 (1.0.0)
cl_khr_local_int32_extended_atomics 0x400000 (1.0.0)
cl_intel_command_queue_families 0x400000 (1.0.0)
cl_intel_subgroups 0x400000 (1.0.0)
cl_intel_required_subgroup_size 0x400000 (1.0.0)
cl_intel_subgroups_short 0x400000 (1.0.0)
cl_khr_spir 0x400000 (1.0.0)
cl_intel_accelerator 0x400000 (1.0.0)
cl_intel_driver_diagnostics 0x400000 (1.0.0)
cl_khr_priority_hints 0x400000 (1.0.0)
cl_khr_throttle_hints 0x400000 (1.0.0)
cl_khr_create_command_queue 0x400000 (1.0.0)
cl_intel_subgroups_char 0x400000 (1.0.0)
cl_intel_subgroups_long 0x400000 (1.0.0)
cl_khr_il_program 0x400000 (1.0.0)
cl_intel_mem_force_host_memory 0x400000 (1.0.0)
cl_khr_subgroup_extended_types 0x400000 (1.0.0)
cl_khr_subgroup_non_uniform_vote 0x400000 (1.0.0)
cl_khr_subgroup_ballot 0x400000 (1.0.0)
cl_khr_subgroup_non_uniform_arithmetic 0x400000 (1.0.0)
cl_khr_subgroup_shuffle 0x400000 (1.0.0)
cl_khr_subgroup_shuffle_relative 0x400000 (1.0.0)
cl_khr_subgroup_clustered_reduce 0x400000 (1.0.0)
cl_intel_device_attribute_query 0x400000 (1.0.0)
cl_khr_extended_bit_ops 0x400000 (1.0.0)
cl_khr_suggested_local_work_size 0x400000 (1.0.0)
cl_intel_split_work_group_barrier 0x400000 (1.0.0)
cl_khr_fp64 0x400000 (1.0.0)
cl_ext_float_atomics 0x400000 (1.0.0)
cl_khr_external_memory 0x9001 (0.9.1)
cl_intel_planar_yuv 0x400000 (1.0.0)
cl_intel_packed_yuv 0x400000 (1.0.0)
cl_intel_motion_estimation 0x400000 (1.0.0)
cl_intel_device_side_avc_motion_estimation 0x400000 (1.0.0)
cl_intel_advanced_motion_estimation 0x400000 (1.0.0)
cl_khr_image2d_from_buffer 0x400000 (1.0.0)
cl_khr_depth_images 0x400000 (1.0.0)
cl_khr_3d_image_writes 0x400000 (1.0.0)
cl_intel_media_block_io 0x400000 (1.0.0)
cl_khr_gl_sharing 0x400000 (1.0.0)
cl_khr_gl_depth_images 0x400000 (1.0.0)
cl_khr_gl_event 0x400000 (1.0.0)
cl_khr_gl_msaa_sharing 0x400000 (1.0.0)
cl_intel_va_api_media_sharing 0x400000 (1.0.0)
cl_intel_sharing_format_query 0x400000 (1.0.0)
cl_khr_pci_bus_info 0x400000 (1.0.0)
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Intel(R) OpenCL Graphics
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [INTEL]
clCreateContext(NULL, ...) [default] Success [INTEL]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name Intel(R) OpenCL Graphics
Device Name Intel(R) UHD Graphics 600
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
Platform Name Intel(R) OpenCL Graphics
Device Name Intel(R) UHD Graphics 600
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 Intel(R) OpenCL Graphics
Device Name Intel(R) UHD Graphics 600
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
hello_query_device gets command not found. Where do I get this?
when I run my test code it finds the GPU but it errors:
[INFO] Using OpenVINO: 2024.4.0-16579-c3152d32c9c-releases/2024/4
Available devices:
CPU: Intel(R) Celeron(R) N4020 CPU @ 1.10GHz
GPU: Intel(R) UHD Graphics 600 (iGPU)
Traceback (most recent call last):
File "/home/ai/LearnTestOV/yolo8ov.py", line 46, in <module>
det_compiled_model = core.compile_model(det_ov_model, "GPU", ov_config)
File "/home/ai/y8ovv/lib/python3.10/site-packages/openvino/runtime/ie_api.py", line 543, in compile_model
super().compile_model(model, device_name, {} if config is None else config),
RuntimeError: Exception from src/inference/src/cpp/core.cpp:104:
Exception from src/inference/src/dev/plugin.cpp:53:
Check 'false' failed at src/plugins/intel_gpu/src/plugin/program_builder.cpp:185:
[GPU] ProgramBuilder build failed!
Exception from src/plugins/intel_gpu/src/runtime/ocl/ocl_stream.cpp:429:
[GPU] clWaitForEvents, error code: -14
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Thank you for the clinfo output. I relayed it to the developers.
If you don't have a hello_query_device.py script on your machine, please copy it from https://docs.openvino.ai/2024/learn-openvino/openvino-samples/hello-query-device.html and provide us the output.
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Here is the output from hello_query_device.py that I copied from the provided link:
$ python hello_query_device.py
[ INFO ] Available devices:
[ INFO ] CPU :
[ INFO ] SUPPORTED_PROPERTIES:
[ INFO ] AVAILABLE_DEVICES:
[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 1, 1
[ INFO ] RANGE_FOR_STREAMS: 1, 2
[ INFO ] EXECUTION_DEVICES: CPU
[ INFO ] FULL_DEVICE_NAME: Intel(R) Celeron(R) N4020 CPU @ 1.10GHz
[ INFO ] OPTIMIZATION_CAPABILITIES: FP32, INT8, BIN, EXPORT_IMPORT
[ INFO ] DEVICE_TYPE: Type.INTEGRATED
[ INFO ] DEVICE_ARCHITECTURE: intel64
[ INFO ] NUM_STREAMS: 1
[ INFO ] INFERENCE_NUM_THREADS: 0
[ INFO ] PERF_COUNT: False
[ INFO ] INFERENCE_PRECISION_HINT: <Type: 'float32'>
[ INFO ] PERFORMANCE_HINT: PerformanceMode.LATENCY
[ INFO ] EXECUTION_MODE_HINT: ExecutionMode.PERFORMANCE
[ INFO ] PERFORMANCE_HINT_NUM_REQUESTS: 0
[ INFO ] ENABLE_CPU_PINNING: True
[ INFO ] SCHEDULING_CORE_TYPE: SchedulingCoreType.ANY_CORE
[ INFO ] MODEL_DISTRIBUTION_POLICY: set()
[ INFO ] ENABLE_HYPER_THREADING: True
[ INFO ] DEVICE_ID:
[ INFO ] CPU_DENORMALS_OPTIMIZATION: False
[ INFO ] LOG_LEVEL: Level.NO
[ INFO ] CPU_SPARSE_WEIGHTS_DECOMPRESSION_RATE: 1.0
[ INFO ] DYNAMIC_QUANTIZATION_GROUP_SIZE: 32
[ INFO ] KV_CACHE_PRECISION: <Type: 'float16'>
[ INFO ] AFFINITY: Affinity.CORE
[ INFO ]
[ INFO ] GPU :
[ INFO ] SUPPORTED_PROPERTIES:
[ INFO ] AVAILABLE_DEVICES: 0
[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 2, 1
[ INFO ] RANGE_FOR_STREAMS: 1, 2
[ INFO ] OPTIMAL_BATCH_SIZE: 1
[ INFO ] MAX_BATCH_SIZE: 1
[ INFO ] DEVICE_ARCHITECTURE: GPU: vendor=0x8086 arch=v9.4.0
[ INFO ] FULL_DEVICE_NAME: Intel(R) UHD Graphics 600 (iGPU)
[ INFO ] DEVICE_UUID: 86808531060000000002000000000000
[ INFO ] DEVICE_LUID: 409a0000499a0000
[ INFO ] DEVICE_TYPE: Type.INTEGRATED
[ INFO ] DEVICE_GOPS: {<Type: 'float16'>: 249.59999084472656, <Type: 'float32'>: 124.79999542236328, <Type: 'int8_t'>: 124.79999542236328, <Type: 'uint8_t'>: 124.79999542236328}
[ INFO ] OPTIMIZATION_CAPABILITIES: FP32, BIN, FP16, EXPORT_IMPORT
[ INFO ] GPU_DEVICE_TOTAL_MEM_SIZE: 3214745600
[ INFO ] GPU_UARCH_VERSION: 9.4.0
[ INFO ] GPU_EXECUTION_UNITS_COUNT: 12
[ INFO ] GPU_MEMORY_STATISTICS: {}
[ INFO ] PERF_COUNT: False
[ INFO ] MODEL_PRIORITY: Priority.MEDIUM
[ INFO ] GPU_HOST_TASK_PRIORITY: Priority.MEDIUM
[ INFO ] GPU_QUEUE_PRIORITY: Priority.MEDIUM
[ INFO ] GPU_QUEUE_THROTTLE: Priority.MEDIUM
[ INFO ] GPU_ENABLE_SDPA_OPTIMIZATION: True
[ INFO ] GPU_ENABLE_LOOP_UNROLLING: True
[ INFO ] GPU_DISABLE_WINOGRAD_CONVOLUTION: False
[ INFO ] CACHE_DIR:
[ INFO ] CACHE_MODE: CacheMode.OPTIMIZE_SPEED
[ INFO ] PERFORMANCE_HINT: PerformanceMode.LATENCY
[ INFO ] EXECUTION_MODE_HINT: ExecutionMode.PERFORMANCE
[ INFO ] COMPILATION_NUM_THREADS: 2
[ INFO ] NUM_STREAMS: 1
[ INFO ] PERFORMANCE_HINT_NUM_REQUESTS: 0
[ INFO ] INFERENCE_PRECISION_HINT: <Type: 'float16'>
[ INFO ] ENABLE_CPU_PINNING: False
[ INFO ] DEVICE_ID: 0
[ INFO ] DYNAMIC_QUANTIZATION_GROUP_SIZE: 0
[ INFO ] It would be nice if there was a solution. As this GPU does work with openvino 2021.3 using the default Ubuntu 20.04 OCL drivers.
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Thank you for the hello query device output. I relayed it to the developers as well.
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I don't have a response from the developers yet. I will get back to you as soon as I know more.
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This is just a confirmation that your case is still being processed. I will send a reminder to the developers.
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Thanks for your patience. Our developers are convinced that your case is a graphics driver issue. That's why I opened a ticket with the graphics debug team. I will let you know as soon as I learn more from them.
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Please bear with us. Currently I'm reaching out to the graphics team directly so that your issue is properly assigned. I'll confirm when it's done.
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