Fix same family model issue and add test

.buildkite/nightly-benchmarks/benchmark-pipeline.yaml

@@ -21,7 +21,7 @@ steps:
         podSpec:
           priorityClassName: perf-benchmark
           containers:
-          - image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
+          - image: public.ecr.aws/q9t5s3a7/vllm-ci-postmerge-repo:$BUILDKITE_COMMIT
             command:
             - bash .buildkite/nightly-benchmarks/scripts/run-performance-benchmarks.sh
             resources:
@@ -51,7 +51,7 @@ steps:
       queue: H200
     plugins:
     - docker#v5.12.0:
-        image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
+        image: public.ecr.aws/q9t5s3a7/vllm-ci-postmerge-repo:$BUILDKITE_COMMIT
         command:
         - bash
         - .buildkite/nightly-benchmarks/scripts/run-performance-benchmarks.sh
@@ -71,7 +71,7 @@ steps:
       queue: H100
     plugins:
     - docker#v5.12.0:
-        image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
+        image: public.ecr.aws/q9t5s3a7/vllm-ci-postmerge-repo:$BUILDKITE_COMMIT
         command:
         - bash
         - .buildkite/nightly-benchmarks/scripts/run-performance-benchmarks.sh

.buildkite/nightly-benchmarks/scripts/wait-for-image.sh

@@ -1,6 +1,6 @@
 #!/bin/sh
-TOKEN=$(curl -s -L "https://public.ecr.aws/token?service=public.ecr.aws&scope=repository:q9t5s3a7/vllm-ci-test-repo:pull" | jq -r .token)
-URL="https://public.ecr.aws/v2/q9t5s3a7/vllm-ci-test-repo/manifests/$BUILDKITE_COMMIT"
+TOKEN=$(curl -s -L "https://public.ecr.aws/token?service=public.ecr.aws&scope=repository:q9t5s3a7/vllm-ci-postmerge-repo:pull" | jq -r .token)
+URL="https://public.ecr.aws/v2/q9t5s3a7/vllm-ci-postmerge-repo/manifests/$BUILDKITE_COMMIT"
 
 TIMEOUT_SECONDS=10
 

.buildkite/release-pipeline.yaml

@@ -1,7 +1,7 @@
 steps:
   - label: "Build wheel - CUDA 12.1"
     agents:
-      queue: cpu_queue
+      queue: cpu_queue_postmerge
     commands:
       - "DOCKER_BUILDKIT=1 docker build --build-arg max_jobs=16 --build-arg USE_SCCACHE=1 --build-arg GIT_REPO_CHECK=1 --build-arg CUDA_VERSION=12.1.0 --tag vllm-ci:build-image --target build --progress plain ."
       - "mkdir artifacts"
@@ -18,11 +18,24 @@ steps:
   - label: "Build wheel - CUDA 11.8"
     # depends_on: block-build-cu118-wheel
     agents:
-      queue: cpu_queue
+      queue: cpu_queue_postmerge
     commands:
       - "DOCKER_BUILDKIT=1 docker build --build-arg max_jobs=16 --build-arg USE_SCCACHE=1 --build-arg GIT_REPO_CHECK=1 --build-arg CUDA_VERSION=11.8.0 --tag vllm-ci:build-image --target build --progress plain ."
       - "mkdir artifacts"
       - "docker run --rm -v $(pwd)/artifacts:/artifacts_host vllm-ci:build-image bash -c 'cp -r dist /artifacts_host && chmod -R a+rw /artifacts_host'"
       - "bash .buildkite/upload-wheels.sh"
     env:
       DOCKER_BUILDKIT: "1"
+
+  - block: "Build release image"
+    depends_on: ~
+    key: block-release-image-build
+
+  - label: "Build release image"
+    depends_on: block-release-image-build
+    agents:
+      queue: cpu_queue_postmerge
+    commands:
+      - "aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin public.ecr.aws/q9t5s3a7"
+      - "DOCKER_BUILDKIT=1 docker build --build-arg max_jobs=16 --build-arg USE_SCCACHE=1 --build-arg GIT_REPO_CHECK=1 --build-arg CUDA_VERSION=12.1.0 --tag public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT --target vllm-openai --progress plain ."
+      - "docker push public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT"

.buildkite/run-xpu-test.sh

@@ -12,5 +12,8 @@ remove_docker_container() { docker rm -f xpu-test || true; }
 trap remove_docker_container EXIT
 remove_docker_container
 
-# Run the image and launch offline inference
-docker run --network host --name xpu-test --device /dev/dri -v /dev/dri/by-path:/dev/dri/by-path --entrypoint="" xpu-test python3 examples/offline_inference.py
+# Run the image and test offline inference/tensor parallel
+docker run --name xpu-test --device /dev/dri -v /dev/dri/by-path:/dev/dri/by-path --entrypoint="" xpu-test sh -c '
+    python3 examples/offline_inference.py
+    python3 examples/offline_inference_cli.py -tp 2
+'

.buildkite/test-pipeline.yaml

@@ -334,7 +334,6 @@ steps:
   commands:
     - pytest -v -s models/decoder_only/language -m 'core_model or quant_model'
     - pytest -v -s models/embedding/language -m core_model
-    - pytest -v -s models/embedding/vision_language -m core_model
 
 - label: Language Models Test (Extended) # 50min
   optional: true
@@ -346,7 +345,6 @@ steps:
   commands:
     - pytest -v -s models/decoder_only/language -m 'not core_model and not quant_model'
     - pytest -v -s models/embedding/language -m 'not core_model'
-    - pytest -v -s models/embedding/vision_language -m 'not core_model'
 
 - label: Multi-Modal Models Test (Standard) # 26min
   #mirror_hardwares: [amd]
@@ -359,6 +357,7 @@ steps:
   commands:
     - pytest -v -s models/decoder_only/audio_language -m 'core_model or quant_model'
     - pytest -v -s --ignore models/decoder_only/vision_language/test_phi3v.py models/decoder_only/vision_language -m 'core_model or quant_model'
+    - pytest -v -s models/embedding/vision_language -m core_model
     - pytest -v -s models/encoder_decoder/language -m core_model
     - pytest -v -s models/encoder_decoder/vision_language -m core_model
 
@@ -376,6 +375,7 @@ steps:
     # https://github.com/huggingface/transformers/issues/34307
     - pytest -v -s models/decoder_only/vision_language/test_phi3v.py
     - pytest -v -s --ignore models/decoder_only/vision_language/test_phi3v.py models/decoder_only/vision_language -m 'not core_model and not quant_model'
+    - pytest -v -s models/embedding/vision_language -m 'not core_model'
     - pytest -v -s models/encoder_decoder/language -m 'not core_model'
     - pytest -v -s models/encoder_decoder/vision_language -m 'not core_model'
 
@@ -430,6 +430,9 @@ steps:
   - vllm/model_executor/models/
   - tests/distributed/
   - vllm/compilation
+  - vllm/worker/worker_base.py
+  - vllm/worker/worker.py
+  - vllm/worker/model_runner.py
   commands:
   - pytest -v -s ./compile/test_basic_correctness.py
   - pytest -v -s ./compile/test_wrapper.py
@@ -443,6 +446,7 @@ steps:
   - pip install -e ./plugins/vllm_add_dummy_model
   - pytest -v -s distributed/test_distributed_oot.py
   - CUDA_VISIBLE_DEVICES=0,1 pytest -v -s test_sharded_state_loader.py
+  - CUDA_VISIBLE_DEVICES=0,1 pytest -v -s kv_transfer/disagg_test.py
 
 - label: Multi-step Tests (4 GPUs) # 36min
   working_dir: "/vllm-workspace/tests"
@@ -477,7 +481,6 @@ steps:
 
 - label: LoRA TP Test (Distributed)
   num_gpus: 4
-  soft_fail: true
   source_file_dependencies:
   - vllm/lora
   - tests/lora

CMakeLists.txt

@@ -522,7 +522,7 @@ else()
   FetchContent_Declare(
           vllm-flash-attn
           GIT_REPOSITORY https://github.com/vllm-project/flash-attention.git
-          GIT_TAG 5259c586c403a4e4d8bf69973c159b40cc346fb9
+          GIT_TAG 04325b6798bcc326c86fb35af62d05a9c8c8eceb
           GIT_PROGRESS TRUE
           # Don't share the vllm-flash-attn build between build types
           BINARY_DIR ${CMAKE_BINARY_DIR}/vllm-flash-attn