Installation

Installation#

rocDecode SDK is a high-performance video decode SDK for AMD GPUs. Using the rocDecode API, you can access the video decoding features available on your GPU.

Tested configurations#

  • Linux

    • Ubuntu: 20.04/22.04

    • RHEL: 8/9

  • ROCm

    • rocm-core: 6.1.0.60100-28

    • amdgpu-core: 1:6.1.60100-1731559

  • libva-dev: 2.7.0-2/2.14.0-1

  • mesa-amdgpu-va-drivers: 1:24.1.0

  • FFmpeg: 4.2.7/4.4.2-0

  • rocDecode Setup Script: V1.7.2

Supported codecs#

H.265 (HEVC) - 8 bit, and 10 bit

Prerequisites#

  • Linux distribution

    • Ubuntu: 20.04/22.04

    • RHEL: 8/9

  • ROCm-supported hardware (gfx908 or higher is required)

  • Install ROCm 6.1.0 or later with amdgpu-install

  • Video Acceleration API Version 1.5.0`+ - `Libva is an implementation for VA-API

    sudo apt install libva-dev

  • AMD VA drivers

    sudo apt install mesa-amdgpu-va-drivers

  • CMake 3.5 or later

    sudo apt install cmake

  • pkg-config

    sudo apt install pkg-config

  • FFmpeg runtime and headers - for tests and samples

    sudo apt install ffmpeg libavcodec-dev libavformat-dev libavutil-dev

  • If using Ubuntu 22.04, you must install libstdc++-12-dev

    sudo apt install libstdc++-12-dev

Note

All package installs are shown with the apt package manager. Use the appropriate package manager for your operating system.

Prerequisites setup script#

For your convenience, we provide the setup script, rocDecode-setup.py, which installs all required dependencies. Run this script only once.

python rocDecode-setup.py  --rocm_path [ ROCm Installation Path - optional (default:/opt/rocm)]
                          --developer [ Setup Developer Options - optional (default:ON) [options:ON/OFF]]

Installation instructions#

To install rocDecode, you can use Package install or Source install.

Package install#

To install rocDecode runtime, development, and test packages, run the line of code for your operating system.

sudo apt install rocdecode rocdecode-dev rocdecode-test

sudo yum install rocdecode rocdecode-devel rocdecode-test

sudo zypper install rocdecode rocdecode-devel rocdecode-test

Note

Package install auto installs all dependencies.

  • Runtime package: rocdecode only provides the rocdecode library librocdecode.so

  • Development package: rocdecode-dev``or ``rocdecode-devel provides the library, header files, and samples

  • Test package: rocdecode-test provides CTest to verify installation

Source install#

To build rocDecode from source, run:

git clone https://github.com/ROCm/rocDecode.git
cd rocDecode
mkdir build && cd build
cmake ../
make -j8
sudo make install

Run tests (this requires FFmpeg dev install):

make test

To run tests with verbose option, use make test ARGS="-VV".

Make package:

sudo make package

Verify installation#

The installer copies:

  • Libraries into /opt/rocm/lib

  • Header files into /opt/rocm/include/rocdecode

  • Samples folder into /opt/rocm/share/rocdecode

  • Documents folder into /opt/rocm/share/doc/rocdecode

To verify your installation using a sample application, run:

mkdir rocdecode-sample && cd rocdecode-sample
cmake /opt/rocm/share/rocdecode/samples/videoDecode/
make -j8
./videodecode -i /opt/rocm/share/rocdecode/video/AMD_driving_virtual_20-H265.mp4

To verify your installation using the rocdecode-test package, run:

mkdir rocdecode-test && cd rocdecode-test
cmake /opt/rocm/share/rocdecode/test/
ctest -VV

This test package installs the CTest module.

Samples#

You can access samples to decode your videos in our GitHub repository. Refer to the individual folders to build and run the samples.

FFmpeg is required for sample applications and make test. To install FFmpeg, refer to the instructions listed for your operating system:

sudo apt install ffmpeg libavcodec-dev libavformat-dev libavutil-dev

Install FFmpeg development packages manually or use the rocDecode-setup.py script

Install FFmpeg development packages manually or use the rocDecode-setup.py script

Docker#

You can find rocDecode Docker containers in our GitHub repository.

Documentation#

Run the following code to build our documentation locally.

cd docs
pip3 install -r sphinx/requirements.txt
python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html

For more information on documentation builds, refer to the Building documentation page.

Hardware capabilities#

The following table shows the codec support and capabilities of the VCN for each supported GPU architecture.

GPU Architecture

VCN Generation

Number of VCNs

H.265/HEVC

Max width, Max height - H.265

H.264/AVC

Max width, Max height - H.264

gfx908 - MI1xx

VCN 2.5.0

2

Yes

4096, 2176

Yes

4096, 2160

gfx90a - MI2xx

VCN 2.6.0

2

Yes

4096, 2176

Yes

4096, 2160

gfx940, gfx942 - MI3xx

VCN 3.0

3

Yes

7680, 4320

Yes

4096, 2176

gfx941 - MI3xx

VCN 3.0

4

Yes

7680, 4320

Yes

4096, 2176

gfx1030, gfx1031, gfx1032 - Navi2x

VCN 3.x

2

Yes

7680, 4320

Yes

4096, 2176

gfx1100, gfx1102 - Navi3x

VCN 4.0

2

Yes

7680, 4320

Yes

4096, 2176

gfx1101 - Navi3x

VCN 4.0

1

Yes

7680, 4320

Yes

4096, 2176
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