DALI and NGC¶
DALI is preinstalled in the NVIDIA GPU Cloud TensorFlow, PyTorch, and MXNet containers in versions 18.07 and later.
Installing prebuilt DALI packages¶
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali
nvidia-dali package contains prebuilt versions of the dali tensorflow plugin for several versions of tensorflow. Since release 0.6.1 there is also a possibility to install dali tensorflow plugin for the currently installed version of tensorflow, thus allowing forward compatibility:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali-tf-plugin
Installing this package will install nvidia-dali and its dependencies if not already installed. The package tensorflow-gpu must be installed before attempting to install nvidia-dali-tf-plugin.
The package nvidia-dali-tf-plugin has a strict requirement with nvidia-dali as its exact same version. Thus, installing nvidia-dali-tf-plugin at its latest version will replace any older nvidia-dali versions already installed with the latest. To work with older versions of DALI, please provide the version explicitely to the pip install command.
OLDER_VERSION=0.6.1 pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali-tf-plugin==$OLDER_VERSION
Compiling DALI from source (bare metal)¶
|GCC 4.9.2 or later|
|Boost 1.66 or later||Modules: preprocessor|
|GCC 4.9.2 or later NVIDIA CUDA 9.0||CUDA 8.0 compatibility is provided unofficially|
|nvJPEG library||This can be unofficially disabled. See below|
version 2 or later
(version 3 or later is required for TensorFlow TFRecord file format support)
|CMake 3.5 or later|
|libjpeg-turbo 1.5.x or later||This can be unofficially disabled. See below|
|FFmpeg 3.4.2 or later||We recommend using version 3.4.2 compiled following the instructions below.|
|OpenCV 3 or later||
We recommend using version 3.4+, however previous versions are also compatible.
OpenCV 2.x compatibility is provided unofficially
|(Optional) liblmdb 0.9.x or later|
TensorFlow installation is required to build the TensorFlow plugin for DALI
Items marked “unofficial” are community contributions that are believed to work but not officially tested or maintained by NVIDIA.
This software uses code of FFmpeg licensed under the LGPLv2.1 and its source can be downloaded https://developer.download.nvidia.com/compute/redist/nvidia-dali/ffmpeg-3.4.2.tar.bz2
FFmpeg was compiled using the following command line:
./configure \ --prefix=/usr/local \ --disable-static \ --disable-all \ --disable-autodetect \ --disable-iconv \ --enable-shared \ --enable-avformat \ --enable-avcodec \ --enable-avfilter \ --enable-protocol=file \ --enable-demuxer=mov,matroska \ --enable-bsf=h264_mp4toannexb,hevc_mp4toannexb && \ make
Get the DALI source¶
git clone --recursive https://github.com/NVIDIA/dali cd dali
Make the build directory¶
mkdir build cd build
To build DALI without LMDB support:
cmake .. make -j"$(nproc)"
To build DALI with LMDB support:
cmake -DBUILD_LMDB=ON .. make -j"$(nproc)"
To build DALI using Clang (experimental):
This build is experimental and it is not maintained and tested like the default configuration. It is not guaranteed to work. We recommend using GCC for production builds.
cmake -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_COMPILER=clang .. make -j"$(nproc)"
Optional CMake build parameters:
BUILD_PYTHON- build Python bindings (default: ON)
BUILD_TEST- include building test suite (default: ON)
BUILD_BENCHMARK- include building benchmarks (default: ON)
BUILD_LMDB- build with support for LMDB (default: OFF)
BUILD_NVTX- build with NVTX profiling enabled (default: OFF)
BUILD_TENSORFLOW- build TensorFlow plugin (default: OFF)
WERROR- treat all build warnings as errors (default: OFF)
BUILD_JPEG_TURBO- build with libjpeg-turbo (default: ON)
BUILD_NVJPEG- build with nvJPEG (default: ON)
Install Python bindings¶
pip install dali/python