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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 10, 12:45 UTC

[CI] [Bugfix] Fix unbounded variable in `run-multi-node-test.sh` (#31967)

Signed-off-by: tjtanaa <tunjian.tan@embeddedllm.com>

TJian committed Jan 8, 2026 at 21:42 UTC 72c068b8e0f084a6a6257d6736e459495f9f56a8
2 files changed +2 -1
.buildkite/scripts/run-multi-node-test.sh
+1 -1
@@ -7,7 +7,7 @@ set -euox pipefail
7 if [ -e /dev/kfd ] || \
8 [ -d /opt/rocm ] || \
9 command -v rocm-smi &> /dev/null || \
10 - [ -n "$ROCM_HOME" ]; then
10 + [ -n "${ROCM_HOME:-}" ]; then
11 IS_ROCM=1
12 else
13 IS_ROCM=0
.buildkite/test-pipeline.yaml
+1
@@ -1104,6 +1104,7 @@ steps:
1104 - vllm/model_executor/models/
1105 - tests/distributed/
1106 - tests/examples/offline_inference/data_parallel.py
1107 + - .buildkite/scripts/run-multi-node-test.sh
1108 commands:
1109 - # the following commands are for the first node, with ip 192.168.10.10 (ray environment already set up)
1110 - VLLM_TEST_SAME_HOST=0 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_same_node.py | grep 'Same node test passed'