Triton v1.8.0 adds CUDA shared memory support and string tensor handling in perf_client
$ git clone --branch v1.8.0 https://github.com/triton-inference-server/server.git # already have the repo? check out this version: $ git checkout v1.8.0
- ›Adds CUDA shared memory support, expanding shared-memory capabilities beyond CPU/pinned memory.
- ›Adds string tensor support to
perf_client, enabling performance benchmarking of string-typed inputs and outputs. - ›Improves
perf_clientcommand-line arguments for easier use while maintaining compatibility with existing arguments. - ›Improves pinned-memory efficiency for ensemble models.
- !In the C++ client library, the non-callback version of
AsyncRunis removed. - !In the C++ client library,
GetReadyAsyncRequestis removed. - !In the C++ client library, the signature of
GetAsyncRunResultsis changed — theis_readyandwaitarguments are removed. - !In the Python client library, the non-callback version of
async_runis removed. - !In the Python client library,
get_ready_async_requestis removed. - !In the Python client library, the signature of
get_async_run_resultsis changed — thewaitargument is removed.