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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 08:30 UTC

[Hardware][Intel-Gaudi] [CI/Build] Add tensor parallel size = 2 test to HPU CI (#18709)

Signed-off-by: Lukasz Durejko <ldurejko@habana.ai>

Łukasz Durejko committed May 26, 2025 at 14:26 UTC e76be06550895b633d1d1aca90f0725152f92294
1 file changed +2
.buildkite/scripts/hardware_ci/run-hpu-test.sh
+2
@@ -21,4 +21,6 @@ remove_docker_container
21
22 # Run the image and launch offline inference
23 docker run --runtime=habana --name=hpu-test --network=host -e HABANA_VISIBLE_DEVICES=all -e VLLM_SKIP_WARMUP=true --entrypoint="" hpu-test-env python3 examples/offline_inference/basic/generate.py --model facebook/opt-125m
24 +docker run --runtime=habana --name=hpu-test --network=host -e HABANA_VISIBLE_DEVICES=all -e VLLM_SKIP_WARMUP=true --entrypoint="" hpu-test-env python3 examples/offline_inference/basic/generate.py --model facebook/opt-125m --tensor-parallel-size 2
25 +
26 EXITCODE=$?