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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 14, 05:30 UTC

[Bugfix][CI] Fix `test_remote_decode_lifecycle.py::test_short_prompt_lifecycle` (#22727)

Signed-off-by: NickLucche <nlucches@redhat.com>

Nicolò Lucchesi committed Aug 12, 2025 at 16:30 UTC 3d9d40efdeea7011dc3c496ad9d55cfdc90aff92
1 file changed +3 -2
tests/v1/kv_connector/unit/test_remote_decode_lifecycle.py
+3 -2
@@ -130,8 +130,9 @@ def test_short_prompt_lifecycle():
130 # Confirm we do not have any memory leaks after req lifecycle.
131 # We need to mark sending finish to clear data for persistent batch.
132 scheduler_output = scheduler.schedule()
133 - model_runner_output = copy.deepcopy(EMPTY_MODEL_RUNNER_OUTPUT)
134 - model_runner_output.finished_sending = [request.request_id]
133 + # Use create_model_runner_output to pass kv_connector_output along
134 + model_runner_output = create_model_runner_output(
135 + reqs=[request], finished_sending=[request.request_id])
136 scheduler.update_from_output(scheduler_output, model_runner_output)
137 assert_scheduler_empty(scheduler)
138