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Building the FIL Backend

Triton backends are implemented as shared libraries which are conditionally loaded by the main Triton server process. To build the FIL backend shared library or simply to create a Docker image with a fresh build of the backend, you may follow the indicated steps.

Note: Most users will not need to build their own copy of the FIL backend. These instructions are intended for developers and those who wish to make custom tweaks to the backend. If you are just looking for install instructions, follow our installation guide.

Prerequisites

The FIL backend may be built either using Docker or on the host. We recommend using the Dockerized build in order to simplify dependency management unless you have a specific need to build on the host.

Dockerized Build

Host Build

  • CUDA toolkit (Only required for GPU-enabled builds)
  • CMake
  • Ninja (Optional but recommended) Except for the CUDA toolkit, these dependencies can be installed via conda using the provided environment file:
conda env create -f conda/environments/rapids_triton_dev.yml
conda activate rapids_triton_dev

Using the Build Script

To simplify the build process, the FIL backend provides a build.sh script at the root of the repo. For most use cases, it is sufficient to simply invoke the script:

./build.sh

This is a lightweight wrapper around a docker build command which helps provide the correct build arguments and variables. By default, it will build both a "server" image which is equivalent to the usual Triton Docker image and a "test" image whose entrypoint will invoke the FIL backend's tests.

Build Options

The build script uses a number of flags and environment variables to control the details of what gets built and how. These options are summarized below:

Flags

  • -g: Perform a debug build
  • -h: Print help test for build script
  • --cpu-only: Build CPU-only version of library
  • --tag-commit: Tag Docker images using the current git commit
  • --no-cache: Disable Docker cache for this build
  • --host: Build on host, not in Docker
  • --buildpy: Invoke Triton's build.py script to perform build. Note: This is not recommended for end-users. It is included primarily for testing compatibility with upstream build changes. If you must invoke this option, you will need the dependencies indicated in the associated conda environment file.

Environment variables

Standard options
  • BASE_IMAGE: The base image for Docker images or the build image for build.py if --buildpy is invoked
  • TRITON_VERSION: The version of Triton to use for this build
  • SERVER_TAG: The tag to use for the server image
  • TEST_TAG: The tag to use for the test image
  • PREBUILT_IMAGE: An existing Triton Docker image which you would like to run tests against. This will build the test image on top of the indicated image.
  • RAPIDS_VERSION: The version of RAPIDS to require for RAPIDS dependencies
Advanced options
  • USE_CLIENT_WHEEL: If 1, the Triton Python client will be installed from a wheel distributed in the Triton SDK Docker image. This option is useful for ARM development, since the Triton client cannot currently be installed via pip for ARM.
  • SDK_IMAGE: If set, this image will be used to provide the Python client wheel. Otherwise, if USE_CLIENT_WHEEL is set to 1 and this variable is unset, the image will be selected based on the Triton version.
  • CONDA_DEV_TAG: A Docker image containing the development conda environment. Used primarily to speed up CI; rarely invoked during development.
  • CONDA_TEST_TAG: A Docker image containing the test conda environment. Used primarily to speed up CI; rarely invoked during development
  • TRITON_REF: The commit ref for the Triton server repo when using --buildpy
  • CORE_REF: The commit ref for the Triton core repo when using --buildpy
  • COMMON_REF: The commit ref for the Triton common repo when using --buildpy
  • BACKEND_REF: The commit ref for the Triton backend repo when using --buildpy
  • THIRDPARTY_REF: The commit ref for the Triton third-party repo when using --buildpy
  • JOB_ID: Used for CI builds to uniquely identify a particular build job.
  • BUILDPY_BRANCH: Use this branch of the Triton server repo to provide the build.py script if --buildpy is used.
  • TREELITE_STATIC: if set to ON, Treelite will be statically linked into the built binaries