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https://github.com/rocm/rpp

AMD ROCm Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD processors with HIP/OpenCL/CPU back-ends.
https://github.com/rocm/rpp

agumentation amd bitwise channel-extract computer-vision contrast cpu gpu hip histogram hpc mivisionx opencl openvx radeon-performance-primitives rocm rpp warp-affine

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AMD ROCm Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD processors with HIP/OpenCL/CPU back-ends.

Host: GitHub
URL: https://github.com/rocm/rpp
Owner: ROCm
License: mit
Created: 2019-08-28T23:59:34.000Z (about 5 years ago)
Default Branch: master
Last Pushed: 2024-05-17T23:11:36.000Z (6 months ago)
Last Synced: 2024-05-20T02:06:06.677Z (6 months ago)
Topics: agumentation, amd, bitwise, channel-extract, computer-vision, contrast, cpu, gpu, hip, histogram, hpc, mivisionx, opencl, openvx, radeon-performance-primitives, rocm, rpp, warp-affine
Language: C++
Homepage: https://rocm.docs.amd.com/projects/rpp/en/latest/
Size: 87.2 MB
Stars: 49
Watchers: 16
Forks: 34
Open Issues: 12
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS

Awesome Lists containing this project

README

        [![MIT licensed](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)

[![doc](https://img.shields.io/badge/doc-readthedocs-blueviolet)](https://gpuopen-professionalcompute-libraries.github.io/rpp/)



AMD ROCm Performance Primitives (RPP) library is a comprehensive, high-performance computer

vision library for AMD processors that have `HIP`, `OpenCL`, or `CPU` backends.



#### Latest release

[![GitHub tag (latest SemVer)](https://img.shields.io/github/v/tag/GPUOpen-ProfessionalCompute-Libraries/rpp?style=for-the-badge)](https://github.com/ROCm/rpp/releases)

## Supported functionalities and variants





### Supported 3D Functionalities Samples

Input
(nifti1 .nii medical image) | fused_multiply_add_scalar
(brightened 3D image)

:-------------------------:|:-------------------------:

![](docs/data/niftiInput.gif)  |  ![](docs/data/niftiOutputBrightened.gif)

## Supported audio functionalities and variants

* Below are the list of audio functions supported

  * Non Silent Region Detection (HOST and HIP)

  * To Decibels (HOST and HIP)

  * Downmixing (HOST and HIP)

  * Preemphasis Filter (HOST and HIP)

  * Resample (HOST and HIP)

  * Mel Filter Bank (HOST and HIP)

  * Spectrogram (HOST and HIP)

Spectrogram kernel output represented as a image 



![](docs/data/spectrogramOutput.png)

  

## Prerequisites

* Linux

  * Ubuntu - `20.04` / `22.04`

  * RedHat - `8` / `9`

  * SLES - `15-SP5`

* [ROCm-supported hardware](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html)

> [!IMPORTANT] 

> `gfx908` or higher GPU required

* Install ROCm `6.1.0` or later with [amdgpu-install](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/how-to/amdgpu-install.html): Required usecase - rocm

> [!IMPORTANT]

> `sudo amdgpu-install --usecase=rocm`

* CMake Version `3.5` and above

  ```shell

  sudo apt install cmake

  ```

* Clang Version `5.0.1` and above

  ```shell

  sudo apt install clang

  ```

* [Half-precision floating-point](https://half.sourceforge.net) library - Version `1.12.0` or higher

  ```shell

  sudo apt install half

  ```

> [!IMPORTANT] 

> * Compiler features required

>   * C++17

>   * OpenMP

>   * Threads

>[!NOTE]

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

## Installation instructions

The installation process uses the following steps:

* [ROCm-supported hardware](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html) install verification

* Install ROCm `6.1.0` or later with [amdgpu-install](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/how-to/amdgpu-install.html) with `--usecase=rocm`

* Use **either** [package install](#package-install) **or** [source install](#source-install) as described below.

### Package install

Install RPP runtime, development, and test packages.

* Runtime package - `rpp` only provides the rpp library `librpp.so`

* Development package - `rpp-dev`/`rpp-devel` provides the library, header files, and samples

* Test package - `rpp-test` provides CTest to verify installation

> [!NOTE]

> Package install will auto install all dependencies.

#### Ubuntu

```shell

sudo apt install rpp rpp-dev rpp-test

```

#### RHEL

```shell

sudo yum install rpp rpp-devel rpp-test

```

#### SLES

```shell

sudo zypper install rpp rpp-devel rpp-test

```

### Source build and install

* Clone RPP git repository

  ```shell

  git clone https://github.com/ROCm/rpp.git

  ```

> [!NOTE]

> RPP has support for two GPU backends: **OPENCL** and **HIP**:

#### HIP Backend

  ```shell

  mkdir build-hip

  cd build-hip

  cmake ../rpp

  make -j8

  sudo make install

  ```

  + Run tests - [test option instructions](https://github.com/ROCm/MIVisionX/wiki/CTest)

  ```shell

  make test

  ```

>[!NOTE]

> `make test` requires [test suite prerequisites](utilities/test_suite/README.md) installed

#### OCL Backend

  ```shell

  mkdir build-ocl

  cd build-ocl

  cmake -DBACKEND=OCL ../rpp

  make -j8

  sudo make install

  ```

## Verify installation

The installer will copy

* Libraries into `/opt/rocm/lib`

* Header files into `/opt/rocm/include/rpp`

* Samples folder into `/opt/rocm/share/rpp`

* Documents folder into `/opt/rocm/share/doc/rpp`

>[!NOTE]

> [Test suite prerequisites](utilities/test_suite#prerequisites) install is required to run tests

### Verify with rpp-test package

Test package will install CTest module to test rpp. Follow below steps to test package install

```shell

mkdir rpp-test && cd rpp-test

cmake /opt/rocm/share/rpp/test/

ctest -VV

```

## Test Functionalities

To test latest Image/Voxel/Audio/Miscellaneous functionalities of RPP using a python script please view [AMD ROCm Performance Primitives (RPP) Test Suite](utilities/test_suite/README.md)

## MIVisionX support - OpenVX extension

[MIVisionX](https://github.com/ROCm/MIVisionX) RPP extension

[vx_rpp](https://github.com/ROCm/MIVisionX/tree/master/amd_openvx_extensions/amd_rpp#amd-rpp-extension) supports RPP functionality through the OpenVX Framework.

## Technical support

For RPP questions and feedback, you can contact us at `[email protected]`.

To submit feature requests and bug reports, use our

[GitHub issues](https://github.com/ROCm/rpp/issues) page.

## Documentation

You can build our documentation locally using the following code:

* Sphinx

  ```bash

  cd docs

  pip3 install -r .sphinx/requirements.txt

  python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html

  ```

* Doxygen

  ```bash

  doxygen .Doxyfile

  ```

## Release notes

All notable changes for each release are added to our [changelog](CHANGELOG.md).

## Tested configurations

* Linux distribution

  * Ubuntu - `20.04` / `22.04`

  * RedHat - `8` / `9`

  * SLES - `15-SP5`

* ROCm: rocm-core - `6.3.0.60300`

* CMake - Version `3.16.3`+

* Clang - Version `5.0.1`+

* half - IEEE 754-based half-precision floating-point library - Version `1.12.0` / package V`1.12.0.60200`

* OpenCV - [4.6.0](https://github.com/opencv/opencv/releases/tag/4.6.0)