Counting 2,987 Big Data & Machine Learning Frameworks, Toolsets, and Examples...
Suggestion? Feedback? Tweet @stkim1

MIOpen

AMD's library for high peformance machine learning primitives. MIOpen supports two programming models -

  1. OpenCL
  2. HIP

Prerequisites

  • A ROCm enabled platform, more info here
  • Base software stack, which includes
    • OpenCL - OpenCL libraries and header files
    • HIP -
      • HIP and HCC libraries and header files
      • clang-ocl -- required
  • MIOpenGEMM to enable various functionalities including transposed and dilated convolutions
  • ROCm cmake modules can be installed from here
  • Half - IEEE 754-based half-precision floating point library
  • OpenSSL or libressl
  • Boost at least version 1.58
    • MIOpen uses boost-system and boost-filesystem packages to enable persistent kernel cache

Installing the dependencies

The dependencies can be installed with the install_deps.cmake, script: cmake -P install_deps.cmake

This will install by default to /usr/local but it can be installed in another location with --prefix argument:

cmake -P install_deps.cmake --prefix /some/local/dir

Instructions to manually install all the dependencies on Ubuntu v16 are present in this section.

Installing MIOpen with pre-built packages

MIOpen can be installed on Ubuntu using apt-get.

For OpenCL backend: apt-get install miopen-opencl

For HIP backend: apt-get install miopen-hip

Currently both the backends cannot be installed on the same system simultaneously. If a different backend other than what currently exists on the system is desired, please remove the existing backend completely and then install the new backend.

Building MIOpen from source

Configuring with cmake

First create a build directory:

mkdir build; cd build;

Next configure cmake. The preferred backend for MIOpen can be set using the -DMIOPEN_BACKEND cmake variable.

For OpenCL, run:

cmake -DMIOPEN_BACKEND=OpenCL ..

The above assumes that OpenCL is installed in one of the standard locations. If not, then manually set these two cmake variables:

cmake -DMIOPEN_BACKEND=OpenCL -DOPENCL_LIBRARIES=<opencl-library-path> -DOPENCL_INCLUDE_DIRS=<opencl-headers-path> ..

For HIP, run:

Set the C++ compiler to hcc.

cmake -DMIOPEN_BACKEND=HIP -DCMAKE_PREFIX_PATH="<hip-installed-path>;<hcc-installed-path>;<clang-ocl-installed-path>" ..

An example cmake step can be:

  • OpenSSL installed using apt-get on Ubuntu v16? Yes.
CXX=/opt/rocm/hcc/bin/hcc cmake -DMIOPEN_BACKEND=HIP -DCMAKE_PREFIX_PATH="/opt/rocm/hcc;/opt/rocm/hip" -DCMAKE_CXX_FLAGS="-isystem /usr/include/x86_64-linux-gnu/" ..
  • OpenSSL installed using apt-get on Ubuntu v16? No.
CXX=/opt/rocm/hcc/bin/hcc cmake -DMIOPEN_BACKEND=HIP -DCMAKE_PREFIX_PATH="/opt/rocm/hcc;/opt/rocm/hip" ..

Setting up locations

By default the install location is set to '/opt/rocm', this can be set by using CMAKE_INSTALL_PREFIX:

cmake -DMIOPEN_BACKEND=OpenCL -DCMAKE_INSTALL_PREFIX=<miopen-installed-path> ..

The default path to the System PerfDb is miopen/share/miopen/db/ within install location. The default path to the User PerfDb is ~/.config/miopen/. For development purposes, setting BUILD_DEV will change default path to both database files to the source directory:

cmake -DMIOPEN_BACKEND=OpenCL -DBUILD_DEV=On ..

Database paths can be explicitly customized by means of MIOPEN_DB_PATH (System PerfDb) and MIOPEN_USER_DB_PATH (User PerfDb) cmake variables.

Changing the cmake configuration

The configuration can be changed after running cmake by using ccmake:

ccmake .. OR cmake-gui: cmake-gui ..

The ccmake program is not available on windows.

Building the library

The library can be built, from the build directory using the 'Release' configuration:

cmake --build . --config Release OR make

And can be installed by using the 'install' target:

cmake --build . --config Release --target install OR make install

This will install the library to the CMAKE_INSTALL_PREFIX path that was set.

Building the driver

MIOpen provides an application-driver which can be used to execute any one particular layer in isolation and measure performance and verification of the library.

The driver can be built using the MIOpenDriver target:

cmake --build . --config Release --target MIOpenDriver OR make MIOpenDriver

Documentation on how to run the driver is here.

Running the tests

The tests can be run by using the 'check' target:

cmake --build . --config Release --target check OR make check

A single test can be built and ran, by doing:

cmake --build . --config Release --target test_tensor
./bin/test_tensor

Building the documentation

HTML and PDF documentation can be built using:

cmake --build . --config Release --target doc OR make doc

This will build a local searchable web site inside the ./MIOpen/doc/html folder and a PDF document inside the ./MIOpen/doc/pdf folder.

Documentation is built using generated using Doxygen and should be installed separately.

HTML and PDFs are generated using Sphinx and Breathe, with the ReadTheDocs theme.

Requirements for both Sphinx, Breathe, and the ReadTheDocs theme can be filled for these in the MIOpen/doc folder:

pip install -r ./requirements.txt

Depending on your setup sudo may be required for the pip install.

Formatting the code

All the code is formatted using clang-format. To format a file, use:

clang-format-3.8 -style=file -i <path-to-source-file>

Also, githooks can be installed to format the code per-commit:

./.githooks/install

Installing the dependencies manually

If Ubuntu v16 is used then the OpenSSL and Boost packages can also be installed by:

sudo apt-get install libssl-dev
sudo apt-get install libboost-dev
sudo apt-get install libboost-system-dev
sudo apt-get install libboost-filesystem-dev

half header needs to be installed from here.

Using docker

The easiest way is to use docker. You can build the top-level docker file:

docker build -t miopen .

Then to enter the developement environment use docker run:

docker run --device='/dev/kfd' --device='/dev/dri' -v=`pwd`:/data -w /data --group-add video -it miopen

Latest Releases
MIOpen v1.4.1
 Jul. 19 2018
MIOpen v1.4.0
 Jul. 6 2018
MIOpen v1.3.0
 Mar. 30 2018
MIOpen v1.2.1
 Mar. 8 2018
1.2.1
 Jan. 26 2018