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Intel® oneVPL GPU Runtime

Intel® oneVPL GPU Runtime provides a plain C API to access hardware-accelerated video decode, encode and filtering on Intel® graphics hardware platforms. GPU Runtime is successor for Intel Media SDK. Implementation written in C++ 14 with parts in C-for-Media (CM).

Supported video encoders: HEVC, AVC, MPEG-2, JPEG, VP9
Supported video decoders: HEVC, AVC, VP8, VP9, MPEG-2, VC1, JPEG, AV1
Supported video pre-processing filters: Color Conversion, Deinterlace, Denoise, Resize, Rotate, Composition

oneVPL GPU Runtime is a part of Intel software stack for graphics:

  • Linux Graphics Drivers - General Purpose GPU Drivers for Linux Operating Systems
    • Visit documentation for instructions on installing, deploying, and updating Intel software to enable general purpose GPU (GPGPU) capabilities for Linux-based operating system distributions.

Dependencies

oneVPL GPU Runtime depends on LibVA. This version of oneVPL GPU Runtime is compatible with the open source Intel Media Driver for VAAPI. Dispatcher and Samples code hosted in oneVPL repository.

Table of contents

License

oneVPL GPU Runtime is licensed under MIT license. See LICENSE for details.

How to contribute

See CONTRIBUTING for details. Thank you!

System requirements

Operating System:

  • Linux x86-64 fully supported
  • Linux x86 only build

Software:

Hardware: Intel platforms supported by the Intel Media Driver for VAAPI starting with Tiger Lake.

How to build

Build steps

Get sources with the following Git* command (pay attention that to get full oneVPL GPU Runtime sources bundle it is required to have Git* with LFS support):

git clone https://github.com/oneapi-src/oneVPL-intel-gpu onevpl-gpu
cd onevpl-gpu

To configure and build oneVPL GPU Runtime install cmake version 3.14 or later and run the following commands:

mkdir build && cd build
cmake ..
make
make install

oneVPL GPU Runtime depends on a number of packages which are identified and checked for the proper version during configuration stage. Please, make sure to install these packages to satisfy oneVPL GPU Runtime requirements. After successful configuration 'make' will build oneVPL GPU Runtime binaries and samples. The following cmake configuration options can be used to customize the build:

Option Values Description
ENABLE_ITT ON|OFF Enable ITT (VTune) instrumentation support (default: OFF)
ENABLE_TEXTLOG ON|OFF Enable textlog trace support (default: OFF)
ENABLE_STAT ON|OFF Enable stat trace support (default: OFF)
BUILD_ALL ON|OFF Build all the BUILD_* targets below (default: OFF)
BUILD_RUNTIME ON|OFF Build oneVPL runtime (default: ON)
BUILD_TESTS ON|OFF Build unit tests (default: OFF)
USE_SYSTEM_GTEST ON|OFF Use system gtest version instead of bundled (default: OFF)
BUILD_TOOLS ON|OFF Build tools (default: OFF)
MFX_ENABLE_KERNELS ON|OFF Build oneVPL with media shaders support (default: ON)

The following cmake settings can be used to adjust search path locations for some components oneVPL GPU Runtime build may depend on:

Setting Values Description
CMAKE_ITT_HOME Valid system path Location of ITT installation, takes precendence over CMAKE_VTUNE_HOME (by default not defined)
CMAKE_VTUNE_HOME Valid system path Location of VTune installation (default: /opt/intel/vtune_amplifier)

Enabling Instrumentation and Tracing Technology (ITT)

To enable the Instrumentation and Tracing Technology (ITT) API you need to:

and configure oneVPL GPU Runtime with the -DENABLE_ITT=ON. In case of VTune it will be searched in the default location (/opt/intel/vtune_amplifier). You can adjust ITT search path with either CMAKE_ITT_HOME or CMAKE_VTUNE_HOME.

Once oneVPL GPU Runtime was built with ITT support, enable it in a runtime creating per-user configuration file ($HOME/.mfx_trace) or a system wide configuration file (/etc/mfx_trace) with the following content:

Output=0x10

Recommendations

  • In case of GCC compiler it is strongly recommended to use GCC version 6 or later since that's the first GCC version which has non-experimental support of C++14 being used in oneVPL GPU Runtime.