Verify Intel® Data Center GPU provisioning
It is supported for Intel® Data Center GPU Flex and Max Series.
clinfo
This workload runs clinfo utilizing the i915 resource from GPU provisioning and displays the related GPU information.
Build the workload container image.
$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/clinfo_build.yaml
Deploy and execute the workload.
$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/clinfo_job.yaml
Check the results.
$ oc get pods
intel-dgpu-clinfo-1-build 0/1 Completed 0 3m20s
intel-dgpu-clinfo-56mh2 0/1 Completed 0 35s
$ oc logs intel-dgpu-clinfo-56mh2
Platform Name Intel(R) OpenCL HD Graphics
Number of devices 1
Device Name Intel(R) Data Center GPU Flex Series 140 [0x56c1]
Device Vendor Intel(R) Corporation
Device Vendor ID 0x8086
Device Version OpenCL 3.0 NEO
Device UUID 86800000-c156-0000-0000-000000000000
Driver UUID 32322e34-332e-3234-3539-352e33350000
Valid Device LUID No
Device LUID 80c6-4e56fd7f0000
Device Node Mask 0
Device Numeric Version 0xc00000 (3.0.0)
Driver Version 22.43.24595.35
Device OpenCL C Version OpenCL C 1.2
Device OpenCL C all versions OpenCL
hwinfo
This workload runs hwinfo utilizing the i915 resource from GPU provisioning and displays the related GPU information. Refer to link
Build the workload container image.
$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/hwinfo_build.yaml
Deploy and execute the workload.
$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/hwinfo_job.yaml
Check the results
$ oc get pods
intel-dgpu-hwinfo-1-build 0/1 Completed 0 2m23s
intel-dgpu-hwinfo-44k4d 0/1 Completed 0 106s
$ oc logs intel-dgpu-hwinfo-44k4d
282: PCI aa00.0: 0380 Display controller
[Created at pci.386]
Unique ID: YxOB.+ER_Ec9Ujm4
Parent ID: xBFW.xbjkZcxCQYD
SysFS ID: /devices/pci0000:a7/0000:a7:01.0/0000:a8:00.0/0000:a9:01.0/0000:aa:00.0
SysFS BusID: 0000:aa:00.0
Hardware Class: graphics card
Model: "Intel Display controller"
Vendor: pci 0x8086 "Intel Corporation"
Device: pci 0x0bda
SubVendor: pci 0x8086 "Intel Corporation"
SubDevice: pci 0x0000
Revision: 0x2f
Driver: "i915"
Driver Modules: "i915"
Memory Range: 0x44fe3f000000-0x44fe3fffffff (ro,non-prefetchable)
Memory Range: 0x447000000000-0x447fffffffff (ro,non-prefetchable)
IRQ: 511 (140 events)
Module Alias: "pci:v00008086d00000BDAsv00008086sd00000000bc03sc80i00"
Config Status: cfg=new, avail=yes, need=no, active=unknown
Attached to: #89 (PCI bridge)
Verify Media feature provisioning for Intel® Data Center GPU
It is verified on Intel® Data Center GPU Flex Series.
VAInfo
This workload runs vainfo utilizing the i915 resource from GPU provisioning and displays the Media features supported by the GPU.
Build the workload container image.
$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/vainfo_build.yaml
Deploy and execute the workload.
$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/vainfo_job.yaml
Check the results.
$ oc get pods -n intel-dgpu
NAME READY STATUS RESTARTS AGE
intel-dgpu-vainfo-1-build 0/1 Completed 0 9m49s
intel-dgpu-vainfo-rbdvz 0/1 Completed 0 45s
$ oc logs intel-dgpu-vainfo-rbdvz -n intel-dgpu
vainfo: VA-API version: 1.20 (libva 2.20.0)
vainfo: Driver version: Intel iHD driver for Intel(R) Gen Graphics - 23.4.3 (a9f272496)
vainfo: Supported profile and entrypoints
VAProfileNone : VAEntrypointVideoProc
VAProfileNone : VAEntrypointStats
VAProfileMPEG2Simple : VAEntrypointVLD
VAProfileMPEG2Main : VAEntrypointVLD
VAProfileH264Main : VAEntrypointVLD
VAProfileH264Main : VAEntrypointEncSliceLP
VAProfileH264High : VAEntrypointVLD
VAProfileH264High : VAEntrypointEncSliceLP
VAProfileJPEGBaseline : VAEntrypointVLD
VAProfileJPEGBaseline : VAEntrypointEncPicture
VAProfileH264ConstrainedBaseline: VAEntrypointVLD
VAProfileH264ConstrainedBaseline: VAEntrypointEncSliceLP
VAProfileHEVCMain : VAEntrypointVLD
VAProfileHEVCMain : VAEntrypointEncSliceLP
VAProfileHEVCMain10 : VAEntrypointVLD
VAProfileHEVCMain10 : VAEntrypointEncSliceLP
VAProfileVP9Profile0 : VAEntrypointVLD
VAProfileVP9Profile1 : VAEntrypointVLD
VAProfileVP9Profile2 : VAEntrypointVLD
VAProfileVP9Profile3 : VAEntrypointVLD
VAProfileHEVCMain12 : VAEntrypointVLD
VAProfileHEVCMain422_10 : VAEntrypointVLD
VAProfileHEVCMain422_10 : VAEntrypointEncSliceLP
VAProfileHEVCMain422_12 : VAEntrypointVLD
VAProfileHEVCMain444 : VAEntrypointVLD
VAProfileHEVCMain444 : VAEntrypointEncSliceLP
VAProfileHEVCMain444_10 : VAEntrypointVLD
VAProfileHEVCMain444_10 : VAEntrypointEncSliceLP
VAProfileHEVCMain444_12 : VAEntrypointVLD
VAProfileHEVCSccMain : VAEntrypointVLD
VAProfileHEVCSccMain : VAEntrypointEncSliceLP
VAProfileHEVCSccMain10 : VAEntrypointVLD
VAProfileHEVCSccMain10 : VAEntrypointEncSliceLP
VAProfileHEVCSccMain444 : VAEntrypointVLD
VAProfileHEVCSccMain444 : VAEntrypointEncSliceLP
VAProfileAV1Profile0 : VAEntrypointVLD
VAProfileAV1Profile0 : VAEntrypointEncSliceLP
VAProfileHEVCSccMain444_10 : VAEntrypointVLD
VAProfileHEVCSccMain444_10 : VAEntrypointEncSliceLP
Using libvpl
This workload runs various test programs from libvpl utilizing the i915 resource from GPU provisioning and displays the Video Processing Library (VPL) fetures supported by the GPU.
Build the workload container image.
$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/intelvpl_build.yaml
Deploy and execute the workload.
$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/tests/l2/dgpu/intelvpl_job.yaml
Check the results.
$ oc get pods -n intel-dgpu
NAME READY STATUS RESTARTS AGE
intel-dgpu-intelvpl-1-build 0/1 Completed 0 26m
intel-dgpu-intelvpl-f68tb 0/1 Completed 0 15m
$ oc logs intel-dgpu-intelvpl-f68tb -n intel-dgpu
Implementation #0: mfxhw64
Library path: /usr/lib64/libmfxhw64.so.1.35
AccelerationMode: MFX_ACCEL_MODE_VIA_VAAPI
ApiVersion: 1.35
Impl: MFX_IMPL_TYPE_HARDWARE
VendorImplID: 0x0000
ImplName: mfxhw64
License:
Version: 1.2
Keywords: MSDK,x64
VendorID: 0x8086
mfxAccelerationModeDescription:
Version: 1.0
Mode: MFX_ACCEL_MODE_VIA_VAAPI
mfxPoolPolicyDescription:
Version: 1.0
mfxDeviceDescription:
MediaAdapterType: MFX_MEDIA_UNKNOWN
DeviceID: 56c1/0
Version: 1.1
mfxDecoderDescription:
Version: 0.0
mfxEncoderDescription:
Version: 0.0
mfxVPPDescription:
Version: 0.0
NumExtParam: 0
Warning - MFX_IMPLCAPS_SURFACE_TYPES not supported
Implementation #1: mfxhw64
Library path: /usr/lib64/libmfxhw64.so.1.35
AccelerationMode: MFX_ACCEL_MODE_VIA_VAAPI
ApiVersion: 1.35
Impl: MFX_IMPL_TYPE_HARDWARE
VendorImplID: 0x0001
ImplName: mfxhw64
License:
Version: 1.2
Keywords: MSDK,x64
VendorID: 0x8086
mfxAccelerationModeDescription:
Version: 1.0
Mode: MFX_ACCEL_MODE_VIA_VAAPI
mfxPoolPolicyDescription:
Version: 1.0
mfxDeviceDescription:
MediaAdapterType: MFX_MEDIA_UNKNOWN
DeviceID: 56c1/1
Version: 1.1
mfxDecoderDescription:
Version: 0.0
mfxEncoderDescription:
Version: 0.0
mfxVPPDescription:
Version: 0.0
NumExtParam: 0
Warning - MFX_IMPLCAPS_SURFACE_TYPES not supported
Total number of implementations found = 2
See Also
For GPU demos on vanilla Kubernetes, refer to link