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# Intel® Video Processing Library (Intel® VPL) GPU Runtime
Intel® Video Processing Library (Intel® VPL) GPU Runtime is a Runtime implementation of [Intel® VPL](https://github.com/intel/libvpl/)
API for Intel Gen GPUs. Runtime provides access to hardware-accelerated video decode, encode and filtering.
**Supported video encoders**: HEVC, AVC, MPEG-2, JPEG, VP9, AV1
**Supported video decoders**: HEVC, AVC, VP8, VP9, MPEG-2, VC1, JPEG, AV1, VVC
**Supported video pre-processing filters**: Color Conversion, Deinterlace, Denoise, Resize, Rotate, Composition
Implementation is written in C++ 14 with parts in C-for-Media (CM).
Intel® VPL GPU Runtime is a part of Intel software stack for graphics:
* [Linux Graphics Drivers](https://intel.com/linux-graphics-drivers) - General Purpose GPU Drivers for Linux Operating Systems
* Visit [documentation](https://dgpu-docs.intel.com) for instructions on installing, deploying, and updating Intel software to enable general purpose GPU (GPGPU) capabilities for Linux-based operating system distributions.
Intel® VPL Library and Intel® VPL GPU Runtime are successors for Intel [Media SDK](https://github.com/Intel-Media-SDK/MediaSDK).
# How to use
This runtime implementation is not self-sufficient. Application should use
one of the available frontend dispatcher libraries:
* [Intel® VPL](https://github.com/intel/libvpl/)
* [Media SDK](https://github.com/Intel-Media-SDK/MediaSDK)
We strongly recommend to use [Intel® VPL](https://github.com/intel/libvpl/)
as a dispatcher frontend (libvpl.so.2). [Media SDK](https://github.com/Intel-Media-SDK/MediaSDK)
dispatcher (libmfx.so.1) can be used as well, but you will get capabilities limited by those which
are exposed via Media SDK API and which are actually implemented by Intel® VPL
Runtime. Basically, compatibility with Media SDK is provided to support
Media SDK based applications which did not yet migrate to Intel® VPL on a new HW
platforms.
Intel® VPL Gen Runtime implementation supports the following hardware platforms:
- TGL/RKL/ADL/RPL (TGL: Tiger Lake, RKL: Rocket Lake, ADL-S/P/N: Alder Lake, RPL-S/P: Raptor Lake)
- DG1
- Alchemist(DG2)/ATSM
- MTL/ARL (MTL: Meteor Lake, ARL-S/H: Arrow Lake)
- LNL (Lunar Lake)
- BMG (Battlemage)
- PTL (Panther Lake)
# Dependencies
Intel® VPL GPU Runtime depends on [LibVA](https://github.com/intel/libva/).
This version of Intel® VPL GPU Runtime is compatible with the open source [Intel Media Driver for VAAPI](https://github.com/intel/media-driver).
Dispatcher and Samples code hosted in [Intel® VPL](https://github.com/intel/libvpl/) repository.
# Table of contents
* [License](#license)
* [How to contribute](#how-to-contribute)
* [System requirements](#system-requirements)
* [How to build](#how-to-build)
* [Build steps](#build-steps)
* [Enabling Instrumentation and Tracing Technology (ITT)](#enabling-instrumentation-and-tracing-technology-itt)
* [Recommendations](#recommendations)
* [Backward Compatibility](#backward-compatibility)
# License
Intel® VPL GPU Runtime is licensed under MIT license. See [LICENSE](./LICENSE) for details.
# How to contribute
See [CONTRIBUTING](./CONTRIBUTING.md) for details. Thank you!
# System requirements
**Operating System:**
* Linux x86-64 fully supported
* Linux x86 only build
**Software:**
* [LibVA](https://github.com/intel/libva)
* VAAPI backend driver:
* [Intel Media Driver for VAAPI](https://github.com/intel/media-driver)
* Some features require CM Runtime library (part of [Intel Media Driver for VAAPI](https://github.com/intel/media-driver) package)
**Hardware:** Intel platforms supported by the [Intel Media Driver for VAAPI](https://github.com/intel/media-driver) starting with Tiger Lake.
# How to build
## Build steps
Get sources with the following Git* command (pay attention that to get full Intel® VPL GPU Runtime sources bundle it is required to have Git* with [LFS](https://git-lfs.github.com/) support):
```sh
git clone https://github.com/intel/vpl-gpu-rt vpl-gpu-rt
cd vpl-gpu-rt
```
To configure and build Intel® VPL GPU Runtime install cmake version 3.14 or later and run the following commands:
```sh
mkdir build && cd build
cmake ..
make
make install
```
Intel® VPL 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 Intel® VPL GPU Runtime requirements. After successful configuration 'make' will build Intel® VPL 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 Intel® VPL 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 Intel® VPL with [media shaders](https://github.com/Intel-Media-SDK/MediaSDK/wiki/Media-SDK-Shaders-(EU-Kernels)) support (default: ON) |
The following cmake settings can be used to adjust search path locations for some components Intel® VPL 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:
* Either install [Intel® VTune™ Amplifier](https://software.intel.com/en-us/intel-vtune-amplifier-xe)
* Or manually build an open source version (see [ITT API](https://github.com/intel/ittapi) for details)
and configure Intel® VPL 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 Intel® VPL 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:
```sh
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 Intel® VPL GPU Runtime.
# Backward Compatibility
No code changes may be introduced that would regress support for any currently supported hardware.
All contributions must ensure continued compatibility and functionality across all supported hardware platforms.
Failure to maintain hardware compatibility may result in the rejection or reversion of the contribution.
Any deliberate modifications or removal of hardware support will be transparently communicated in the release notes.
API options are solely considered as a stable interface.
Any debug parameters, environmental variables, and internal data structures, are not considered as an interface and may be changed or removed at any time.
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