Version 1 to Version 2 Migration#

Version 2 of Triton does not generally maintain backwards compatibility with version 1. Specifically, you should take the following items into account when transitioning from version 1 to version 2.

  • The Triton executables and libraries are in /opt/tritonserver. The Triton executable is /opt/tritonserver/bin/tritonserver.

  • Some tritonserver command-line arguments are removed, changed or have different default behavior in version 2.

    • –api-version, –http-health-port, –grpc-infer-thread-count, –grpc-stream-infer-thread-count,–allow-poll-model-repository, –allow-model-control and –tf-add-vgpu are removed.

    • The default for –model-control-mode is changed to none.

    • –tf-allow-soft-placement and –tf-gpu-memory-fraction are renamed to –backend-config=”tensorflow,allow-soft-placement=<true,false>” and –backend-config=”tensorflow,gpu-memory-fraction=<float>”.

  • The HTTP/REST and GRPC protocols, while conceptually similar to version 1, are completely changed in version 2. See inference protocols for more information.

  • Python and C++ client libraries are re-implemented to match the new HTTP/REST and GRPC protocols. The Python client no longer depends on a C++ shared library and so should be usable on any platform that supports Python. See client libraries for more information.

  • Building Triton has changed significantly in version 2. See build for more information.

  • In the Docker containers the environment variables indicating the Triton version have changed to have a TRITON prefix, for example, TRITON_SERVER_VERSION.