Synchronise with IBM/vllm:main #20
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`format.sh` now has mypy checks after pulling in upstream changes. This PR makes the mypy suggested modifications to our code. --------- Signed-off-by: Travis Johnson <tsjohnso@us.ibm.com>
…ubi (opendatahub-io#23) Changes: - vLLM v0.4.2 was published today, update our build to use pre-built libs from their wheel - bump other dependencies in the image build (base UBI image, miniforge, flash attention, grpcio-tools, accelerate) - little cleanup to remove `PYTORCH_` args that are no longer used --------- Signed-off-by: Travis Johnson <tsjohnso@us.ibm.com>
not supported by openshift CI (buildah) See containers/buildah#4325
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: dtrifiro, z103cb The full list of commands accepted by this bot can be found here. The pull request process is described here
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* Fix setup.py for HPU * Fix vllm._C import ops -> vllm.hpu import ops * more of the same thing * re-add hpex rmsnorm and rope; but rope is crashing * remove unnecessary comments * add vllm/hpu files * add hpu autodetection * Add HabanaAttention stub * revert accidental changes * revert non-habana backend attention changes * add habana attention/worker/executor, sampling fails now * Restore unnecessarily changed files * enable HabanaMemoryProfiler * Make sampler pass * restore habana fused rope * prefill is now working!!! * fix prefill padding; decode is now working!!!!! * revert accidental changes * remove unused stuff in habana_paged_attn.py * remove diagnostic stuff from llm_engine.py * use HabanaExecutorAsync in async_llm_engine.py * add habana copyright headers to habana_*.py files * fix prefill attention conformance * minor naming fixes * remove naive attention from habana_attn (it never worked anyway) * re-enable profile run * Add fake HPUGraph support * add more metrics * indentation fix * ~~recipe cache metrics don't work lalalala~~ * i'm done with metrics for now * fix corner case in which hl-smi is not available but synapse is * FIXME: temporary setup.py workaround * WIP: add tensor parallelism stubs * habana worker cleanup * tensor parallelism is now working * remove unused files * remove unused func * add hpugraphrunner * improve hpu layernorm * Port pipelined PA * Port context length bucketing * remove cudagraphrunner from hpu runner * restore HPUGraphRunner back from FakeHPUGraphRunner * handle rotary embeddings properly on gaudi3 * oopsie! captured_block_counts was incorrect! * captured_block_counts.append doesn't do anything * Restore habana_main KV cache memory layout * fix memory profiler * overhaul hpugraph capture * memory profiling overhaul * format memory properly in model warmup * add graph compilation profiler for graph capture phase * adroll back log lvl on graph capture message * Remove unnecessary view on residual connection in RMSNorm (#25) --------- Co-authored-by: madamczykhabana <110973826+madamczykhabana@users.noreply.github.com>
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Bringing in the latest changes from IBM/main