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dependabot[bot]andGitHub f36d57ec34 Bump actions/setup-python from 6.1.0 to 6.2.0
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 6.1.0 to 6.2.0.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/83679a892e2d95755f2dac6acb0bfd1e9ac5d548...a309ff8b426b58ec0e2a45f0f869d46889d02405)

---
updated-dependencies:
- dependency-name: actions/setup-python
  dependency-version: 6.2.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-06-02 18:31:03 +00:00
2744 changed files with 94372 additions and 292323 deletions
+3 -3
View File
@@ -2,17 +2,17 @@ name: vllm_intel_ci
job_dirs:
- ".buildkite/intel_jobs"
run_all_patterns:
- ".buildkite/ci_config_intel.yaml"
- ".buildkite/scripts/hardware_ci/run-intel-test.sh"
- "docker/Dockerfile"
- "docker/Dockerfile.xpu"
- "CMakeLists.txt"
- "requirements/common.txt"
- "requirements/xpu.txt"
- "requirements/build/cuda.txt"
- "requirements/test/cuda.txt"
- "setup.py"
- "csrc/"
- "cmake/"
run_all_exclude_patterns:
- "docker/Dockerfile."
- "csrc/cpu/"
- "csrc/rocm/"
- "cmake/hipify.py"
-24
View File
@@ -1,24 +0,0 @@
name: vllm_rocm_ci
job_dirs:
- ".buildkite/hardware_tests"
run_all_patterns:
- "docker/Dockerfile.rocm"
- "docker/Dockerfile.rocm_base"
- "docker/ci-rocm.hcl"
- "docker/docker-bake-rocm.hcl"
- ".buildkite/hardware_tests/amd.yaml"
- ".buildkite/scripts/ci-bake-rocm.sh"
- ".buildkite/scripts/rocm/"
- ".buildkite/scripts/hardware_ci/run-amd-test.py"
- ".buildkite/scripts/hardware_ci/run-amd-test.sh"
- "CMakeLists.txt"
- "requirements/common.txt"
- "requirements/rocm.txt"
- "requirements/build/rocm.txt"
- "requirements/test/rocm.txt"
- "setup.py"
- "csrc/"
- "cmake/"
run_all_exclude_patterns:
- "csrc/cpu/"
- "cmake/cpu_extension.cmake"
+35 -71
View File
@@ -1,78 +1,42 @@
group: Hardware - AMD Build
# ROCm image flow:
# 1. Refresh the long-lived ROCm base image only when Dockerfile.rocm_base changes.
# 2. Build ci_base from either the stable base or the freshly refreshed base.
# 3. Build the per-commit ROCm CI image and smoke-test it before GPU jobs run.
group: Hardware - AMD Build
steps:
- label: "AMD: :docker: refresh ROCm base"
key: refresh-rocm-base-amd
- label: "AMD: :docker: build image"
key: image-build-amd
depends_on: []
device: amd_cpu
no_plugin: true
commands:
- bash .buildkite/scripts/rocm/refresh-base-image.sh
- >
docker build
--build-arg max_jobs=16
--build-arg REMOTE_VLLM=1
--build-arg ARG_PYTORCH_ROCM_ARCH='gfx90a;gfx942;gfx950'
--build-arg VLLM_BRANCH=$BUILDKITE_COMMIT
--tag "rocm/vllm-ci:${BUILDKITE_COMMIT}"
-f docker/Dockerfile.rocm
--target test
--no-cache
--progress plain .
- |
docker run --rm --network=none --entrypoint /bin/bash "rocm/vllm-ci:${BUILDKITE_COMMIT}" -ec '
if [ ! -d /vllm-workspace ]; then echo Missing directory: /vllm-workspace >&2; exit 1; fi
if [ ! -d /vllm-workspace/tests ]; then echo Missing directory: /vllm-workspace/tests >&2; exit 1; fi
if [ ! -d /vllm-workspace/src/vllm ]; then echo Missing directory: /vllm-workspace/src/vllm >&2; exit 1; fi
if [ ! -x /vllm-workspace/src/vllm/vllm-rs ]; then echo Missing executable: /vllm-workspace/src/vllm/vllm-rs >&2; exit 1; fi
command -v python3
command -v uv
command -v pytest
if ! command -v amd-smi >/dev/null 2>&1 && ! command -v rocminfo >/dev/null 2>&1; then
echo No ROCm CLI found in image >&2
exit 1
fi
python3 - <<PY
import torch, vllm
print(torch.__version__)
print(vllm.__version__)
PY
echo AMD image smoke OK
'
- docker push "rocm/vllm-ci:${BUILDKITE_COMMIT}"
env:
DOCKER_BUILDKIT: "1"
BUILDKIT_PROGRESS: "tty"
TERM: "xterm-256color"
retry:
automatic:
- exit_status: -1 # Agent was lost
limit: 1
- exit_status: -10 # Agent was lost
limit: 1
# Ensure ci_base is up-to-date before building the test image.
# Compares a content hash of ci_base-affecting files against the remote
# image label. If hashes match the build is skipped (< 30 s); if they
# differ ci_base is rebuilt and pushed automatically.
- label: "AMD: :docker: ensure ci_base"
key: ensure-ci-base-amd
soft_fail: false
depends_on:
- refresh-rocm-base-amd
device: amd_cpu
no_plugin: true
commands:
- bash .buildkite/scripts/rocm/build-ci-base.sh
env:
DOCKER_BUILDKIT: "1"
BUILDKIT_PROGRESS: "tty"
TERM: "xterm-256color"
VLLM_BAKE_FILE: "docker/docker-bake-rocm.hcl"
PYTORCH_ROCM_ARCH: "gfx90a;gfx942;gfx950"
REMOTE_VLLM: "1"
VLLM_BRANCH: "$BUILDKITE_COMMIT"
retry:
automatic:
- exit_status: -1 # Agent was lost
limit: 1
- exit_status: -10 # Agent was lost
limit: 1
- label: "AMD: :docker: build test image and artifacts"
key: image-build-amd
soft_fail: false
depends_on:
- ensure-ci-base-amd
device: amd_cpu
no_plugin: true
commands:
- bash .buildkite/scripts/rocm/build-test-image.sh
- bash .buildkite/scripts/rocm/smoke-test-image.sh
env:
DOCKER_BUILDKIT: "1"
BUILDKIT_PROGRESS: "tty"
TERM: "xterm-256color"
VLLM_BAKE_FILE: "docker/docker-bake-rocm.hcl"
PYTORCH_ROCM_ARCH: "gfx90a;gfx942;gfx950"
IMAGE_TAG: "rocm/vllm-ci:$BUILDKITE_COMMIT"
REMOTE_VLLM: "1"
VLLM_BRANCH: "$BUILDKITE_COMMIT"
retry:
automatic:
- exit_status: -1 # Agent was lost
limit: 1
- exit_status: -10 # Agent was lost
limit: 1
+17 -24
View File
@@ -17,32 +17,29 @@ steps:
- tests/kernels/test_awq_int4_to_int8.py
- tests/kernels/quantization/test_cpu_fp8_scaled_mm.py
- tests/kernels/mamba/cpu/test_cpu_gdn_ops.py
- tests/kernels/mamba/test_cpu_short_conv.py
commands:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 30m "
pytest -x -v -s tests/kernels/attention/test_cpu_attn.py
pytest -x -v -s tests/kernels/moe/test_cpu_fused_moe.py
pytest -x -v -s tests/kernels/moe/test_cpu_quant_fused_moe.py
pytest -x -v -s tests/kernels/mamba/test_cpu_short_conv.py
pytest -x -v -s tests/kernels/test_onednn.py
pytest -x -v -s tests/kernels/test_awq_int4_to_int8.py
pytest -x -v -s tests/kernels/quantization/test_cpu_fp8_scaled_mm.py
pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py"
# Note: SDE can't be downloaded from CI host because of AWS WAF
# - label: CPU-Compatibility Tests
# depends_on: []
# device: intel_cpu
# no_plugin: true
# source_file_dependencies:
# - cmake/cpu_extension.cmake
# - setup.py
# - vllm/platforms/cpu.py
# commands:
# - |
# bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 20m "
# bash .buildkite/scripts/hardware_ci/run-cpu-compatibility-test.sh"
- label: CPU-Compatibility Tests
depends_on: []
device: intel_cpu
no_plugin: true
source_file_dependencies:
- cmake/cpu_extension.cmake
- setup.py
- vllm/platforms/cpu.py
commands:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 20m "
bash .buildkite/scripts/hardware_ci/run-cpu-compatibility-test.sh"
- label: CPU-Language Generation and Pooling Model Tests
depends_on: []
@@ -55,7 +52,7 @@ steps:
- tests/models/language/pooling/
commands:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 50m "
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 40m "
pytest -x -v -s tests/models/language/generation -m cpu_model
pytest -x -v -s tests/models/language/pooling -m cpu_model"
@@ -70,15 +67,13 @@ steps:
- vllm/v1/sample/ops/topk_topp_triton.py
- vllm/v1/sample/ops/topk_topp_sampler.py
- tests/v1/sample/test_topk_topp_sampler.py
- tests/v1/e2e/test_cpu_linear_attn_chunked_prefix.py
commands:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
uv pip install git+https://github.com/triton-lang/triton-cpu.git@270e696d
VLLM_USE_V2_MODEL_RUNNER=1 pytest -x -v -s tests/models/language/generation/test_granite.py -m cpu_model
# TODO: move to CPU-Kernel Tests once triton-cpu has a pre-built wheel
pytest -x -v -s tests/v1/sample/test_topk_topp_sampler.py::TestTritonTopkTopp
pytest -x -v -s tests/v1/e2e/test_cpu_linear_attn_chunked_prefix.py"
pytest -x -v -s tests/v1/sample/test_topk_topp_sampler.py::TestTritonTopkTopp"
- label: CPU-Quantization Model Tests
depends_on: []
@@ -93,13 +88,11 @@ steps:
- vllm/model_executor/layers/fused_moe/experts/cpu_moe.py
- tests/quantization/test_compressed_tensors.py
- tests/quantization/test_cpu_wna16.py
- tests/quantization/test_cpu_w8a8.py
commands:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 30m "
pytest -x -v -s tests/quantization/test_compressed_tensors.py::test_compressed_tensors_w8a8_logprobs
pytest -x -v -s tests/quantization/test_cpu_wna16.py
pytest -x -v -s tests/quantization/test_cpu_w8a8.py"
pytest -x -v -s tests/quantization/test_cpu_wna16.py"
- label: CPU-Distributed Tests (PP+TP)
depends_on: []
@@ -142,7 +135,7 @@ steps:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
pytest -x -v -s tests/models/multimodal/generation --ignore=tests/models/multimodal/generation/test_pixtral.py -m cpu_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB"
parallelism: 4
parallelism: 3
- label: "Arm CPU Test"
depends_on: []
@@ -1,80 +0,0 @@
group: Intel
steps:
- label: ":docker: Build XPU image"
soft_fail: true
optional: true
depends_on: []
key: image-build-xpu
commands:
- bash -lc '.buildkite/image_build/image_build_xpu.sh "public.ecr.aws/q9t5s3a7" "vllm-ci-test-repo" "$BUILDKITE_COMMIT"'
env:
DOCKER_BUILDKIT: "1"
retry:
automatic:
- exit_status: -1 # Agent was lost
limit: 2
- exit_status: -10 # Agent was lost
limit: 2
- label: "XPU example Test"
depends_on:
- image-build-xpu
timeout_in_minutes: 30
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh example'
- label: "XPU V1 test"
depends_on:
- image-build-xpu
timeout_in_minutes: 30
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh v1'
- label: "XPU server test"
depends_on:
- image-build-xpu
timeout_in_minutes: 30
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh server'
-8
View File
@@ -79,18 +79,12 @@ setup_buildx_builder() {
docker buildx ls | grep -E '^\*|^NAME' || docker buildx ls
}
annotate_image_tags() {
.buildkite/scripts/annotate-image-build.sh \
"${IMAGE_TAG:-}" "${IMAGE_TAG_LATEST:-}"
}
check_and_skip_if_image_exists() {
if [[ -n "${IMAGE_TAG:-}" ]]; then
echo "--- :mag: Checking if image exists"
if docker manifest inspect "${IMAGE_TAG}" >/dev/null 2>&1; then
echo "Image already exists: ${IMAGE_TAG}"
echo "Skipping build"
annotate_image_tags
exit 0
fi
echo "Image not found, proceeding with build"
@@ -260,5 +254,3 @@ echo "--- :docker: Building ${TARGET}"
docker --debug buildx bake -f "${VLLM_BAKE_FILE_PATH}" -f "${CI_HCL_PATH}" --progress plain "${TARGET}"
echo "--- :white_check_mark: Build complete"
annotate_image_tags
+18 -19
View File
@@ -9,30 +9,29 @@ fi
REGISTRY=$1
REPO=$2
BUILDKITE_COMMIT=$3
IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-arm64"
# authenticate with AWS ECR
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
# skip build if image already exists
if docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
echo "Image found"
else
if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64) ]]; then
echo "Image not found, proceeding with build..."
# build for arm64 GPU targets: Grace/GH200 (sm_90) and DGX Spark/GB10
# (sm_121, family-covered by 12.0 under CUDA 13)
docker build --file docker/Dockerfile \
--platform linux/arm64 \
--build-arg max_jobs=16 \
--build-arg nvcc_threads=4 \
--build-arg torch_cuda_arch_list="9.0 12.0" \
--build-arg USE_SCCACHE=1 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--tag "$IMAGE" \
--target test \
--progress plain .
# push
docker push "$IMAGE"
else
echo "Image found"
exit 0
fi
.buildkite/scripts/annotate-image-build.sh "$IMAGE"
# build (Grace/GH200 is the arm64 GPU target; sm_90)
docker build --file docker/Dockerfile \
--platform linux/arm64 \
--build-arg max_jobs=16 \
--build-arg nvcc_threads=4 \
--build-arg torch_cuda_arch_list="9.0" \
--build-arg USE_SCCACHE=1 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64 \
--target test \
--progress plain .
# push
docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64
+15 -15
View File
@@ -9,26 +9,26 @@ fi
REGISTRY=$1
REPO=$2
BUILDKITE_COMMIT=$3
IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-cpu"
# authenticate with AWS ECR
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
# skip build if image already exists
if docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
echo "Image found"
else
if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-cpu) ]]; then
echo "Image not found, proceeding with build..."
# build
docker build --file docker/Dockerfile.cpu \
--build-arg max_jobs=16 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--build-arg VLLM_CPU_X86=true \
--tag "$IMAGE" \
--target vllm-test \
--progress plain .
# push
docker push "$IMAGE"
else
echo "Image found"
exit 0
fi
.buildkite/scripts/annotate-image-build.sh "$IMAGE"
# build
docker build --file docker/Dockerfile.cpu \
--build-arg max_jobs=16 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--build-arg VLLM_CPU_X86=true \
--tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-cpu \
--target vllm-test \
--progress plain .
# push
docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-cpu
+14 -14
View File
@@ -9,25 +9,25 @@ fi
REGISTRY=$1
REPO=$2
BUILDKITE_COMMIT=$3
IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-arm64-cpu"
# authenticate with AWS ECR
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
# skip build if image already exists
if docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
echo "Image found"
else
if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu) ]]; then
echo "Image not found, proceeding with build..."
# build
docker build --file docker/Dockerfile.cpu \
--build-arg max_jobs=16 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--tag "$IMAGE" \
--target vllm-test \
--progress plain .
# push
docker push "$IMAGE"
else
echo "Image found"
exit 0
fi
.buildkite/scripts/annotate-image-build.sh "$IMAGE"
# build
docker build --file docker/Dockerfile.cpu \
--build-arg max_jobs=16 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu \
--target vllm-test \
--progress plain .
# push
docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64-cpu
+15 -15
View File
@@ -9,26 +9,26 @@ fi
REGISTRY=$1
REPO=$2
BUILDKITE_COMMIT=$3
IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-hpu"
# authenticate with AWS ECR
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
# skip build if image already exists
if docker manifest inspect "$IMAGE" >/dev/null 2>&1; then
echo "Image found"
else
if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-hpu) ]]; then
echo "Image not found, proceeding with build..."
# build
docker build \
--file tests/pytorch_ci_hud_benchmark/Dockerfile.hpu \
--build-arg max_jobs=16 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--tag "$IMAGE" \
--progress plain \
https://github.com/vllm-project/vllm-gaudi.git
# push
docker push "$IMAGE"
else
echo "Image found"
exit 0
fi
.buildkite/scripts/annotate-image-build.sh "$IMAGE"
# build
docker build \
--file tests/pytorch_ci_hud_benchmark/Dockerfile.hpu \
--build-arg max_jobs=16 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-hpu \
--progress plain \
https://github.com/vllm-project/vllm-gaudi.git
# push
docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-hpu
@@ -40,7 +40,6 @@ docker buildx ls
echo "--- :mag: Checking if image already exists"
if docker manifest inspect "$IMAGE_TAG" >/dev/null 2>&1; then
echo "Image found: $IMAGE_TAG — skipping build"
.buildkite/scripts/annotate-image-build.sh "$IMAGE_TAG"
exit 0
fi
echo "Image not found, proceeding with build..."
@@ -67,5 +66,3 @@ docker buildx build --file docker/Dockerfile \
--progress plain .
echo "--- :white_check_mark: Torch nightly image build complete: $IMAGE_TAG"
.buildkite/scripts/annotate-image-build.sh "$IMAGE_TAG"
+14 -14
View File
@@ -9,26 +9,26 @@ fi
REGISTRY=$1
REPO=$2
BUILDKITE_COMMIT=$3
IMAGE="$REGISTRY/$REPO:$BUILDKITE_COMMIT-xpu"
# authenticate with AWS ECR
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 936637512419.dkr.ecr.us-east-1.amazonaws.com || true
# skip build if image already exists
if docker manifest inspect "$IMAGE" &> /dev/null; then
echo "Image found"
else
if ! docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu &> /dev/null; then
echo "Image not found, proceeding with build..."
# build
docker build \
--file docker/Dockerfile.xpu \
--build-arg max_jobs=16 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--tag "$IMAGE" \
--progress plain .
# push
docker push "$IMAGE"
else
echo "Image found"
exit 0
fi
.buildkite/scripts/annotate-image-build.sh "$IMAGE"
# build
docker build \
--file docker/Dockerfile.xpu \
--build-arg max_jobs=16 \
--build-arg buildkite_commit="$BUILDKITE_COMMIT" \
--tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu \
--progress plain .
# push
docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-xpu
@@ -1,27 +0,0 @@
group: Basic Correctness
depends_on:
- image-build-xpu
steps:
- label: XPU Sleep Mode
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/basic_correctness/test_cumem.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
pytest -v -s basic_correctness/test_cpu_offload.py &&
pytest -v -s basic_correctness/test_mem.py::test_end_to_end'
-4
View File
@@ -5,10 +5,6 @@ steps:
- label: Engine (1 GPU)
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
@@ -1,27 +0,0 @@
group: Expert Parallelism
depends_on:
- image-build-xpu
steps:
- label: EPLB Algorithm
key: eplb-algorithm
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/distributed/eplb
- tests/distributed/test_eplb_algo.py
- tests/distributed/test_eplb_utils.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s distributed/test_eplb_algo.py'
-4
View File
@@ -5,10 +5,6 @@ steps:
- label: vLLM IR Tests
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
+2 -28
View File
@@ -5,10 +5,6 @@ steps:
- label: LoRA Runtime + Utils
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
@@ -38,10 +34,6 @@ steps:
- label: LoRA Fused/MoE Kernels
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
@@ -62,10 +54,6 @@ steps:
- label: LoRA Punica Kernels
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
@@ -81,17 +69,11 @@ steps:
'cd tests &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
set -o pipefail &&
pytest -v -s lora/test_punica_ops.py::test_kernels &&
pytest -v -s lora/test_punica_ops.py::test_kernels_hidden_size &&
pytest -v -s lora/test_punica_ops.py::test_add_lora_fused_moe_early_exit'
pytest -v -s lora/test_punica_ops.py --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[expand-0-xpu:0-dtype0-3-43264-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype1-1-2049-64-128-16]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype0-1-2049-128-1-32]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype0-1-2049-256-1-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype0-1-2049-256-8-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels[expand-0-xpu:0-dtype0-3-2049-128-8-16]" --deselect="tests/lora/test_punica_ops.py::test_kernels[shrink-0-xpu:0-dtype0-1-2049-128-8-32]" --deselect="tests/lora/test_punica_ops.py::test_kernels[expand-0-xpu:0-dtype1-1-2049-256-128-32]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[shrink-0-xpu:0-dtype0-3-64256-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[shrink-0-xpu:0-dtype1-2-29696-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[shrink-0-xpu:0-dtype1-3-49408-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[shrink-0-xpu:0-dtype0-2-16384-32-4-4]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[expand-0-xpu:0-dtype0-2-51328-32-4-4]"'
- label: LoRA Punica FP8/XPU Ops
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
@@ -112,10 +94,6 @@ steps:
- label: LoRA Models
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 24+
no_plugin: true
working_dir: "."
env:
@@ -130,19 +108,15 @@ steps:
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
(pytest -v -s lora/test_mixtral.py --deselect="tests/lora/test_mixtral.py::test_mixtral_lora[4]" || true) &&
pytest -v -s lora/test_quant_model.py --deselect="tests/lora/test_quant_model.py::test_quant_model_lora[model0]" --deselect="tests/lora/test_quant_model.py::test_quant_model_lora[model1]" --deselect="tests/lora/test_quant_model.py::test_quant_model_tp_equality[model0]" &&
pytest -v -s lora/test_transformers_model.py &&
pytest -v -s lora/test_chatglm3_tp.py &&
pytest -v -s lora/test_llama_tp.py::test_llama_lora &&
pytest -s -v lora/test_minicpmv_tp.py'
- label: LoRA Multimodal
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
+3 -211
View File
@@ -5,10 +5,6 @@ steps:
- label: V1 Core + KV + Metrics
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
@@ -35,10 +31,6 @@ steps:
- label: V1 Sample + Logits
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
@@ -46,17 +38,7 @@ steps:
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/config/
- vllm/distributed/
- vllm/engine/
- vllm/inputs/
- vllm/logger.py
- vllm/model_executor/
- vllm/platforms/
- vllm/sampling_params.py
- vllm/transformers_utils/
- vllm/utils/
- vllm/v1/
- vllm/
- tests/v1/sample
- tests/v1/logits_processors
- tests/v1/test_oracle.py
@@ -65,199 +47,9 @@ steps:
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install lm_eval[api]>=0.4.12 &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
'export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
cd tests &&
pytest -v -s v1/logits_processors --ignore=v1/logits_processors/test_custom_online.py --ignore=v1/logits_processors/test_custom_offline.py &&
pytest -v -s v1/test_oracle.py &&
pytest -v -s v1/test_request.py &&
pytest -v -s v1/test_outputs.py &&
pytest -v -s v1/sample/test_topk_topp_sampler.py &&
pytest -v -s v1/sample/test_logprobs.py &&
pytest -v -s v1/sample/test_logprobs_e2e.py'
- label: Basic Models Tests (Initialization)
timeout_in_minutes: 60
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/models/test_initialization.py
- tests/models/registry.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'export VLLM_XPU_FUSED_MOE_USE_REF=1 &&
cd tests &&
pytest -v -s models/test_initialization.py::test_can_initialize_large_subset[Eagle3MiniMaxM2ForCausalLM]'
- label: XPU CPU Offload
timeout_in_minutes: 60
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- vllm/v1/kv_offload/
- vllm/v1/kv_connector/
- tests/v1/kv_offload/
- tests/v1/kv_connector/unit/test_offloading_connector.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
cd tests &&
pytest -v -s v1/kv_offload &&
pytest -v -s v1/kv_connector/unit/test_offloading_connector.py'
- label: NixlConnector PD accuracy (2 GPUs)
timeout_in_minutes: 60
num_devices: 2
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/v1/worker/kv_connector_model_runner_mixin.py
- tests/v1/kv_connector/nixl_integration/
- vllm/platforms/xpu.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
bash v1/kv_connector/nixl_integration/run_xpu_disagg_accuracy_test.sh'
- label: Regression
key: regression
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/config/
- vllm/distributed/
- vllm/engine/
- vllm/inputs/
- vllm/model_executor/
- vllm/multimodal/
- vllm/platforms/
- vllm/sampling_params.py
- vllm/transformers_utils/
- vllm/utils/
- vllm/v1/
- tests/test_regression
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install modelscope\<1.38 &&
cd tests &&
pytest -v -s test_regression.py'
- label: Metrics, Tracing (2 GPUs)
key: metrics-tracing-2-gpus
timeout_in_minutes: 30
num_devices: 2
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/config/
- vllm/distributed/
- vllm/engine/
- vllm/inputs/
- vllm/model_executor/
- vllm/multimodal/
- vllm/platforms/
- vllm/sampling_params.py
- vllm/tracing/
- vllm/transformers_utils/
- vllm/utils/
- vllm/v1/
- tests/v1/tracing
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install opentelemetry-sdk\>=1.26.0 opentelemetry-api\>=1.26.0 opentelemetry-exporter-otlp\>=1.26.0 opentelemetry-semantic-conventions-ai\>=0.4.1 &&
cd tests &&
pytest -v -s v1/tracing'
- label: Async Engine, Inputs, Utils, Worker
key: async-engine-inputs-utils-worker
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/assets/
- vllm/config/
- vllm/distributed/
- vllm/engine/
- vllm/inputs/
- vllm/model_executor/
- vllm/multimodal/
- vllm/platforms/
- vllm/sampling_params.py
- vllm/tokenizers/
- vllm/transformers_utils/
- vllm/utils/
- vllm/v1/
- tests/detokenizer
- tests/multimodal
- tests/utils_
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pip install av &&
pytest -v -s detokenizer &&
pytest -v -s -m "not cpu_test" ./multimodal &&
pytest -v -s utils_ --ignore=utils_/test_mem_utils.py'
pytest -v -s v1/test_outputs.py'
@@ -1,62 +0,0 @@
group: Model Runner V2 Intel
depends_on:
- image-build-xpu
steps:
- label: Model Runner V2 Core Tests (Intel)
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/v1/worker/gpu/
- vllm/v1/worker/gpu_worker.py
- vllm/v1/core/sched/
- vllm/v1/attention/
- tests/v1/engine/test_llm_engine.py
- tests/v1/e2e/
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'export VLLM_USE_V2_MODEL_RUNNER=1 &&
cd tests &&
pytest -v -s v1/engine/test_llm_engine.py -k "not test_engine_metrics" &&
ENFORCE_EAGER=1 pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram" &&
pytest -v -s v1/e2e/general/test_min_tokens.py'
- label: Model Runner V2 Examples (Intel)
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/v1/worker/gpu/
- vllm/v1/core/sched/
- vllm/v1/worker/gpu_worker.py
- examples/basic/offline_inference/
- examples/generate/multimodal/
- examples/features/
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'export VLLM_USE_V2_MODEL_RUNNER=1 &&
cd examples &&
python3 basic/offline_inference/chat.py &&
python3 basic/offline_inference/generate.py --model facebook/opt-125m &&
python3 generate/multimodal/vision_language_offline.py --seed 0 &&
python3 features/automatic_prefix_caching/prefix_caching_offline.py'
@@ -1,27 +0,0 @@
group: Models - Distributed
depends_on:
- image-build-xpu
steps:
- label: Distributed Model Tests (2 GPUs)
key: distributed-model-tests-2-gpus
timeout_in_minutes: 50
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/model_executor/model_loader/sharded_state_loader.py
- vllm/model_executor/models/
- tests/model_executor/model_loader/test_sharded_state_loader.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s model_executor/model_loader/test_sharded_state_loader.py -m "not slow_test"'
@@ -1,127 +0,0 @@
group: Models - Multimodal
depends_on:
- image-build-xpu
steps:
- label: "Multi-Modal Models (Standard) 1: qwen2"
key: multi-modal-models-standard-1-qwen2
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/models/multimodal
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install av &&
cd tests &&
pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "qwen2" &&
pytest -v -s models/multimodal/generation/test_ultravox.py -m core_model'
- label: "Multi-Modal Models (Standard) 2: qwen3 + gemma"
key: multi-modal-models-standard-2-qwen3-gemma
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/models/multimodal
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s models/multimodal/generation/test_qwen2_5_vl.py -m core_model'
- label: "Multi-Modal Models (Standard) 3: llava + qwen2_vl"
key: multi-modal-models-standard-3-llava-qwen2-vl
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/models/multimodal
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "not qwen2 and not qwen3 and not gemma" &&
pytest -v -s models/multimodal/generation/test_qwen2_vl.py -m core_model'
- label: "Multi-Modal Models (Standard) 4: other + whisper"
key: multi-modal-models-standard-4-other-whisper
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/models/multimodal
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install av &&
cd tests &&
pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/processing'
- label: Multi-Modal Processor # 44min
key: multi-modal-processor
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/models/multimodal
- tests/models/registry.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install av matplotlib ftfy &&
pip install open-clip-torch --no-deps &&
cd tests &&
pytest -v -s models/multimodal/processing/test_tensor_schema.py
--num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB'
parallelism: 4
-28
View File
@@ -1,28 +0,0 @@
group: Quantization
depends_on:
- image-build-xpu
steps:
- label: Quantization
key: quantization
timeout_in_minutes: 30
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
no_plugin: true
working_dir: "."
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
source_file_dependencies:
- csrc/
- vllm/model_executor/layers/quantization
- tests/quantization
commands:
# - VLLM_TEST_FORCE_LOAD_FORMAT=auto pytest -v -s quantization/ --ignore quantization/test_blackwell_moe.py
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'VLLM_TEST_FORCE_LOAD_FORMAT=auto pytest -v -s tests/quantization/test_per_token_kv_cache.py --deselect="tests/quantization/test_per_token_kv_cache.py::test_triton_unified_attention_per_token_head_scale[int4-16-128-num_heads0-seq_lens1]"'
+3 -86
View File
@@ -19,10 +19,6 @@ steps:
- image-build-xpu
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -42,46 +38,15 @@ steps:
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --kv-cache-dtype fp8 &&
python3 examples/basic/offline_inference/generate.py --model nvidia/Llama-3.1-8B-Instruct-FP8 --block-size 64 --enforce-eager --quantization modelopt --kv-cache-dtype fp8 --attention-backend TRITON_ATTN --max-model-len 4096 &&
python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --block-size 64 --enforce-eager --max-model-len 8192 &&
python3 examples/basic/offline_inference/generate.py --model TheBloke/TinyLlama-1.1B-Chat-v0.3-AWQ --block-size 64 --enforce-eager &&
python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 &&
python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 --enable-expert-parallel &&
python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --max-model-len 8192 &&
VLLM_XPU_FUSED_MOE_USE_REF=1 python3 examples/basic/offline_inference/generate.py --model Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 --enforce-eager -tp 2 --max-model-len 8192 &&
python3 examples/basic/offline_inference/generate.py --model INCModel/Qwen3-30B-A3B-Instruct-2507-MXFP4-LLMC --enforce-eager -tp 2 --max-model-len 8192
'
- label: "XPU W8A8 FP8 Linear Examples"
depends_on:
- image-build-xpu
timeout_in_minutes: 60
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- .buildkite/intel_jobs/test-intel.yaml
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'python3 examples/basic/offline_inference/generate.py --linear-backend xpu --model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --enforce-eager --max-model-len 4096 &&
python3 examples/basic/offline_inference/generate.py --linear-backend xpu --model neuralmagic/Llama-3.2-1B-Instruct-FP8-dynamic --enforce-eager --max-model-len 4096 &&
python3 examples/basic/offline_inference/generate.py --linear-backend xpu --model meta-llama/Llama-3.2-1B-Instruct --quantization fp8 --enforce-eager --max-model-len 4096
python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --max-model-len 8192
'
- label: "XPU V1 test"
depends_on:
- image-build-xpu
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -99,17 +64,13 @@ steps:
pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py --ignore=v1/worker/test_worker_memory_snapshot.py &&
pytest -v -s v1/structured_output &&
pytest -v -s v1/test_serial_utils.py &&
pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py --ignore=v1/spec_decode/test_speculators_correctness.py &&
pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py &&
pytest -v -s v1/kv_connector/unit --ignore=v1/kv_connector/unit/test_multi_connector.py --ignore=v1/kv_connector/unit/test_example_connector.py --ignore=v1/kv_connector/unit/test_lmcache_integration.py --ignore=v1/kv_connector/unit/test_hf3fs_client.py --ignore=v1/kv_connector/unit/test_hf3fs_connector.py --ignore=v1/kv_connector/unit/test_hf3fs_metadata_server.py --ignore=v1/kv_connector/unit/test_offloading_connector.py'
- label: "XPU server test"
depends_on:
- image-build-xpu
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -122,49 +83,5 @@ steps:
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install av &&
cd tests &&
pytest -v -s entrypoints/multimodal/openai/chat_completion/test_audio_in_video.py &&
pytest -v -s entrypoints/openai/chat_completion/test_audio_in_video.py &&
pytest -v -s benchmarks/test_serve_cli.py'
- label: "XPU quantization test"
depends_on:
- image-build-xpu
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- vllm/
- .buildkite/intel_jobs/test-intel.yaml
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s quantization/test_auto_round.py'
- label: "XPU compressed tensors FP8 test"
depends_on:
- image-build-xpu
timeout_in_minutes: 60
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/quantization/test_compressed_tensors.py
- .buildkite/intel_jobs/test-intel.yaml
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s quantization/test_compressed_tensors.py::test_compressed_tensors_fp8'
@@ -6,7 +6,9 @@ tasks:
value: 0.7142
- name: "exact_match,flexible-extract"
value: 0.4579
moe_backend: "flashinfer_cutlass"
env_vars:
VLLM_USE_FLASHINFER_MOE_FP8: "1"
VLLM_FLASHINFER_MOE_BACKEND: "throughput"
limit: 1319
num_fewshot: 5
max_model_len: 262144
@@ -68,10 +68,6 @@ def launch_lm_eval(eval_config, tp_size):
if current_platform.is_rocm() and "Nemotron-3" in eval_config["model_name"]:
model_args += "attention_backend=TRITON_ATTN"
moe_backend = eval_config.get("moe_backend", None)
if moe_backend is not None:
model_args += f"moe_backend={moe_backend},"
env_vars = eval_config.get("env_vars", None)
with scoped_env_vars(env_vars):
results = lm_eval.simple_evaluate(
@@ -2,6 +2,7 @@
{
"test_name": "latency_llama8B_tp1",
"environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
"VLLM_CPU_KVCACHE_SPACE": 40
@@ -2,6 +2,7 @@
{
"test_name": "latency_llama8B_tp2",
"environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
"VLLM_CPU_SGL_KERNEL": 1,
@@ -13,6 +13,7 @@
200
],
"server_environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
"VLLM_CPU_SGL_KERNEL": 1,
@@ -5,6 +5,7 @@
],
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
"server_environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120
},
"server_parameters": {
@@ -9,6 +9,7 @@
128
],
"server_environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
"VLLM_CPU_SGL_KERNEL": 1,
@@ -5,6 +5,7 @@
],
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
"server_environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
"VLLM_CPU_SGL_KERNEL": 1,
@@ -5,6 +5,7 @@
],
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
"server_environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
"VLLM_CPU_SGL_KERNEL": 1,
@@ -2,6 +2,7 @@
{
"test_name": "throughput_llama8B_tp1",
"environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
"VLLM_CPU_KVCACHE_SPACE": 40
@@ -2,6 +2,7 @@
{
"test_name": "throughput_llama8B_tp2",
"environment_variables": {
"VLLM_RPC_TIMEOUT": 100000,
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
"VLLM_CPU_SGL_KERNEL": 1,
+4 -45
View File
@@ -1,25 +1,12 @@
# CUDA architecture lists — following PyTorch RELEASE.md
# (https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
# SM86 included for broader Ampere coverage; SM89 for marlin fp8 support
# These requested arches are filtered by CMake's CUDA_SUPPORTED_ARCHS before
# per-kernel arch selection. Do not add +PTX here: top-level +PTX is stripped
# during that filtering, so kernels that need PTX must request it locally.
env:
# for CUDA >=13, sm_100+ targets have family specifiers (see CMakeLists.txt)
# so targets like 10.3 and 12.1 are automatically supported with this list
CUDA_ARCH_X86: "7.5 8.0 8.6 8.9 9.0 10.0 12.0"
# aarch64-only targets: Orin (8.7), Thor (11.0, CUDA 13+)
CUDA_ARCH_AARCH64: "8.0 8.7 8.9 9.0 10.0 11.0 12.0"
# for CUDA <13, we need to specify all needed targets
# some targets (10.3, 12.1) are skipped to limit the wheel size (< 500MB)
# please use CUDA 13 wheels or compile yourself on these new devices
CUDA_ARCH_X86: "7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX"
# aarch64 only architectures: 8.7 for Orin, 11.0 for Thor (since CUDA 13)
CUDA_ARCH_AARCH64: "8.0 8.7 8.9 9.0 10.0 11.0 12.0+PTX"
CUDA_ARCH_X86_CU129: "7.5 8.0 8.6 8.9 9.0 10.0 12.0"
CUDA_ARCH_AARCH64_CU129: "8.0 8.7 8.9 9.0 10.0 12.0"
# pre-built mooncake wheels
# the manylinux_2_35 wheel has compatibility issue on Ubuntu 24.04
# so we use different wheels for the time being
MOONCAKE_WHEEL_AARCH64_2_35: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_35_aarch64.whl"
MOONCAKE_WHEEL_AARCH64_2_39: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_39_aarch64.whl"
MOONCAKE_WHEEL_X86_64: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_35_x86_64.whl"
@@ -350,25 +337,6 @@ steps:
- "docker push public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-$(uname -m)-cu129-ubuntu2404"
- 'bash .buildkite/scripts/annotate-build-artifact.sh "$$BUILDKITE_LABEL" "public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-$(uname -m)-cu129-ubuntu2404"'
- label: ":docker: Build release image - x86_64 - XPU"
depends_on: ~
id: build-xpu-release-image
agents:
queue: cpu_queue_release
commands:
- "aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin public.ecr.aws/q9t5s3a7"
- |
DOCKER_BUILDKIT=1 docker build \
$(bash .buildkite/scripts/docker-build-metadata-args.sh xpu) \
--build-arg GIT_REPO_CHECK=1 \
--target vllm-openai \
--progress plain \
-f docker/Dockerfile.xpu .
- "docker push public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-$(uname -m)-xpu"
- 'bash .buildkite/scripts/annotate-build-artifact.sh "$$BUILDKITE_LABEL" "public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-$(uname -m)-xpu"'
env:
DOCKER_BUILDKIT: "1"
- block: "Build release image for x86_64 CPU"
key: block-cpu-release-image-build
depends_on: ~
@@ -464,16 +432,6 @@ steps:
- "docker manifest push public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-cu129-ubuntu2404"
- 'bash .buildkite/scripts/annotate-build-artifact.sh "Manifest: CUDA 12.9 Ubuntu 24.04" "public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-cu129-ubuntu2404"'
- label: "Create manifest - XPU"
depends_on:
- build-xpu-release-image
id: create-manifest-xpu
agents:
queue: small_cpu_queue_release
commands:
- "bash .buildkite/scripts/xpu/create-xpu-ecr-manifest.sh"
- 'bash .buildkite/scripts/annotate-build-artifact.sh "Manifest: XPU" "public.ecr.aws/q9t5s3a7/vllm-release-repo:$BUILDKITE_COMMIT-xpu"'
- label: "Publish nightly multi-arch image to DockerHub"
depends_on:
- create-multi-arch-manifest
@@ -888,6 +846,7 @@ steps:
allow_failure: true
- step: build-cpu-release-image-arm64
allow_failure: true
if: build.env("NIGHTLY") != "1"
- label: "Publish release images to DockerHub"
depends_on:
@@ -1,36 +0,0 @@
#!/bin/bash
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Append the Docker image tag(s) an image-build step pushed to a Buildkite
# annotation, so the built image tags show up on the build page instead of
# being buried in the job logs.
#
# Usage: annotate-image-build.sh <image_tag> [<image_tag> ...]
set -euo pipefail
# buildkite-agent only exists on Buildkite agents; no-op elsewhere so the
# image build scripts stay runnable locally.
if ! command -v buildkite-agent >/dev/null 2>&1; then
echo "buildkite-agent not found; skipping image tag annotation"
exit 0
fi
label="${BUILDKITE_LABEL:-Image build}"
content=""
for image in "$@"; do
[[ -n "$image" ]] || continue
content+="- **${label}**: \`${image}\`"$'\n'
done
if [[ -z "$content" ]]; then
echo "No image tags provided; nothing to annotate"
exit 0
fi
# Best-effort: a flaky annotation must never fail an otherwise successful
# (and expensive) image build.
if ! printf '%s' "$content" | \
buildkite-agent annotate --append --style 'info' --context 'docker-images'; then
echo "warning: failed to annotate build with image tags"
fi
File diff suppressed because it is too large Load Diff
-3
View File
@@ -13,8 +13,5 @@ INPUT_FILE="$1"
# Strip timestamps
sed -i 's/^\[[0-9]\{4\}-[0-9]\{2\}-[0-9]\{2\}T[0-9]\{2\}:[0-9]\{2\}:[0-9]\{2\}Z\] //' "$INPUT_FILE"
# Strip Buildkite inline timestamp markers (ESC _bk;t=<ms> BEL)
sed -i 's/\x1B_bk;t=[0-9]*\x07//g' "$INPUT_FILE"
# Strip colorization
sed -i -r 's/\x1B\[[0-9;]*[mK]//g' "$INPUT_FILE"
+47 -151
View File
@@ -1,178 +1,74 @@
#!/bin/bash
# Fetch vLLM Buildkite CI logs (public; no login required).
# Usage: ./ci-fetch-log.sh <buildkite_job_url> [output_file]
# ./ci-fetch-log.sh <build_number> <job_uuid> [output_file]
#
# Usage:
# ci-fetch-log.sh [--soft|--all] --pr [<PR>] failed jobs in the PR's latest
# build (current branch if omitted)
# ci-fetch-log.sh [--soft|--all] <build_url> failed jobs in that build
# ci-fetch-log.sh <job_url> [output] one job; both #<job_uuid> and
# ?sid=<id> URL forms work
# ci-fetch-log.sh <build> <job_uuid> [output]
# Downloads the raw log for a Buildkite job from the public, unauthenticated
# /organizations/<org>/pipelines/<pipeline>/builds/<n>/jobs/<uuid>/download
# endpoint, then strips ANSI/timestamps via ci-clean-log.sh.
#
# --soft also fetches soft-failed jobs; --all fetches every finished job.
# Saves each log as ci-<build>-<job-name>.log (ANSI/timestamps stripped) and
# prints "<file>\t<job name>" per job. [output] is single-job only; "-"
# streams to stdout. Existing files are kept; CI_FETCH_LOG_FORCE=1 refetches.
# Find <build_number> and <job_uuid> via:
# gh pr checks <PR> --repo vllm-project/vllm
# Each failing row's URL is .../builds/<build_number>#<job_uuid>.
#
# Default output path: ci-<build>-<uuid_first_13_chars>.log (e.g.
# ci-68478-019e6b07-daae.log). Jobs in the same build share the UUID's
# first 8 chars, so the second segment is needed for uniqueness when
# fetching multiple jobs in parallel. The script refuses to overwrite an
# existing output file; pass an explicit path or set CI_FETCH_LOG_FORCE=1
# to override.
set -euo pipefail
ORG="vllm"
PIPELINE="ci"
UA="vllm-ci-fetch-log"
UUID_RE='[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}'
usage() {
sed -n '2,15p' "$0" | sed 's/^# \{0,1\}//'
echo "Usage: $0 <buildkite_job_url> [output_file]"
echo " $0 <build_number> <job_uuid> [output_file]"
exit 1
}
die() {
echo "$1" >&2
exit 1
}
if [ $# -lt 1 ]; then usage; fi
BUILD="" JOB="" SID="" OUT=""
SCOPE="failed"
while :; do
case "${1:-}" in
--soft) SCOPE="soft" ;;
--all) SCOPE="all" ;;
*) break ;;
esac
shift
done
case "${1:-}" in
--pr)
PR="${2:-}"
# gh pr checks exits non-zero when checks are failing; that is the
# expected case here.
URL=$(gh pr checks ${PR:+"$PR"} --repo vllm-project/vllm 2>/dev/null |
grep -oE "https://buildkite.com/${ORG}/${PIPELINE}/builds/[0-9]+" |
sort -t/ -k7 -n | tail -1 || true)
[ -n "$URL" ] || die "No Buildkite build found via: gh pr checks ${PR:-<current branch>}"
BUILD="${URL##*/}"
;;
https://*)
if [[ "$1" == https://* ]]; then
BUILD=$(echo "$1" | sed -nE 's#.*/builds/([0-9]+).*#\1#p')
JOB=$(echo "$1" | grep -oE "#${UUID_RE}" | head -n 1 | cut -c2- || true)
SID=$(echo "$1" | grep -oE "[?&]sid=${UUID_RE}" | head -n 1 | sed 's/.*sid=//' || true)
JOB=$(echo "$1" | grep -oE '[0-9a-f]{8}-[0-9a-f-]+' | head -n 1)
OUT="${2:-}"
[ -n "$BUILD" ] || die "Could not parse build number from: $1"
;;
[0-9]*)
[ $# -ge 2 ] || usage
else
if [ $# -lt 2 ]; then usage; fi
BUILD="$1"
JOB="$2"
OUT="${3:-}"
;;
*)
fi
if [ -z "$BUILD" ] || [ -z "$JOB" ]; then
echo "Could not parse build number or job UUID from: $1" >&2
usage
;;
esac
fi
# Jobs in the same build share the UUID's first segment, so include the
# second segment (chars 9-13, e.g. "019e6b07-daae") to keep default filenames
# unique when fetching multiple jobs from one build in parallel.
if [ -z "$OUT" ]; then
OUT="ci-${BUILD}-${JOB:0:13}.log"
fi
if [ -e "$OUT" ] && [ -z "${CI_FETCH_LOG_FORCE:-}" ]; then
echo "Refusing to overwrite existing $OUT (set CI_FETCH_LOG_FORCE=1 or pass an explicit output path)." >&2
exit 1
fi
COOKIES=$(mktemp)
JOBS_TSV=$(mktemp)
trap 'rm -f "$COOKIES" "$JOBS_TSV"' EXIT
trap 'rm -f "$COOKIES"' EXIT
# Buildkite issues a session cookie on first hit; later requests need it.
curl -fsSL -c "$COOKIES" -A "$UA" \
# Buildkite issues a session cookie on first hit; subsequent /download needs it.
curl -fsSL -c "$COOKIES" -A "vllm-ci-fetch-log" \
"https://buildkite.com/${ORG}/${PIPELINE}/builds/${BUILD}" -o /dev/null
# The build's job list (id, step uuid, state, name) is served as JSON from
# the user-facing /data/jobs endpoint. Flatten it to TSV for easy filtering:
# job_id step_uuid failed soft_failed finished slug name
curl -fsSL -b "$COOKIES" -A "$UA" \
"https://buildkite.com/${ORG}/${PIPELINE}/builds/${BUILD}/data/jobs" |
python3 -c '
import json, re, sys
curl -fsSL -b "$COOKIES" -A "vllm-ci-fetch-log" \
"https://buildkite.com/organizations/${ORG}/pipelines/${PIPELINE}/builds/${BUILD}/jobs/${JOB}/download" \
-o "$OUT"
data = json.load(sys.stdin)
if data.get("has_next_page"):
print("warning: job list is paginated; some jobs not shown", file=sys.stderr)
for r in data["records"]:
if r.get("type") != "script":
continue
name = (r.get("name") or "").replace("\t", " ").replace("\n", " ")
slug = re.sub(r"[^a-z0-9]+", "-", name.lower()).strip("-")[:60]
print("\t".join([
r["id"],
r.get("step_uuid") or "",
str(r.get("passed") is False),
str(bool(r.get("soft_failed"))),
str(bool(r.get("finished_at"))),
slug,
name,
]))
' >"$JOBS_TSV" || die "Could not list jobs for build ${BUILD}"
bash "$(dirname "$0")/ci-clean-log.sh" "$OUT"
if [ -n "$SID" ] && [ -z "$JOB" ]; then
# The ?sid= in builds/<N>/list URLs is the *step* uuid, not the job uuid.
JOB=$(awk -F'\t' -v s="$SID" '$1 == s || $2 == s {print $1; exit}' "$JOBS_TSV")
[ -n "$JOB" ] || die "No job matching sid=${SID} in build ${BUILD}"
fi
fetch_job() { # <job_uuid> <output_file>
curl -fsSL -b "$COOKIES" -A "$UA" \
"https://buildkite.com/organizations/${ORG}/pipelines/${PIPELINE}/builds/${BUILD}/jobs/$1/download" \
-o "$2"
bash "$(dirname "$0")/ci-clean-log.sh" "$2"
}
if [ -n "$JOB" ]; then
# Single-job mode.
NAME=$(awk -F'\t' -v j="$JOB" '$1 == j {print $7; exit}' "$JOBS_TSV")
SLUG=$(awk -F'\t' -v j="$JOB" '$1 == j {print $6; exit}' "$JOBS_TSV")
[ -n "$OUT" ] || OUT="ci-${BUILD}-${SLUG:-${JOB:0:13}}.log"
if [ "$OUT" = "-" ]; then
TMP=$(mktemp)
fetch_job "$JOB" "$TMP"
cat "$TMP"
rm -f "$TMP"
exit 0
fi
if [ -e "$OUT" ] && [ -z "${CI_FETCH_LOG_FORCE:-}" ]; then
die "Refusing to overwrite existing ${OUT} (set CI_FETCH_LOG_FORCE=1 or pass an output path)."
fi
fetch_job "$JOB" "$OUT"
printf '%s\t%s\n' "$OUT" "${NAME:-$JOB}"
exit 0
fi
# Build-wide mode: fetch finished jobs matching $SCOPE.
[ -z "$OUT" ] || die "[output_file] is only valid when fetching a single job."
case "$SCOPE" in
failed) FILTER='$3 == "True" && $4 == "False" && $5 == "True"' ;;
soft) FILTER='$3 == "True" && $5 == "True"' ;;
all) FILTER='$5 == "True"' ;;
esac
if [ "$SCOPE" = "failed" ]; then
SOFT=$(awk -F'\t' '$3 == "True" && $4 == "True"' "$JOBS_TSV" | wc -l)
[ "$SOFT" -eq 0 ] || echo "Skipping ${SOFT} soft-failed job(s); use --soft to include them." >&2
fi
FOUND=0
EMITTED=" "
while IFS=$'\t' read -r job_id _ _ _ _ slug name; do
FOUND=$((FOUND + 1))
out="ci-${BUILD}-${slug:-${job_id:0:13}}.log"
# Retries share a name with the original job; disambiguate by uuid.
case "$EMITTED" in
*" $out "*) out="ci-${BUILD}-${slug:-job}-${job_id:0:13}.log" ;;
esac
EMITTED="${EMITTED}${out} "
if [ -e "$out" ] && [ -z "${CI_FETCH_LOG_FORCE:-}" ]; then
echo "Keeping existing ${out} (set CI_FETCH_LOG_FORCE=1 to refetch)." >&2
elif ! fetch_job "$job_id" "$out"; then
echo "Failed to download log for job ${job_id} (${name})." >&2
continue
fi
printf '%s\t%s\n' "$out" "$name"
done < <(awk -F'\t' "$FILTER" "$JOBS_TSV")
if [ "$FOUND" -eq 0 ]; then
echo "No matching jobs in build ${BUILD} (scope: ${SCOPE})." >&2
fi
echo "$OUT"
+15 -224
View File
@@ -28,21 +28,8 @@
###############################################################################
set -o pipefail
: "${BUILDKIT_PROGRESS:=plain}"
: "${TERM:=xterm-256color}"
: "${FORCE_COLOR:=1}"
: "${CLICOLOR_FORCE:=1}"
: "${PY_COLORS:=1}"
: "${ROCM_DOCKER_TTY:=1}"
if [[ " ${PYTEST_ADDOPTS:-} " != *" --color"* ]]; then
PYTEST_ADDOPTS="${PYTEST_ADDOPTS:+${PYTEST_ADDOPTS} }--color=yes"
fi
export BUILDKIT_PROGRESS TERM FORCE_COLOR CLICOLOR_FORCE PY_COLORS PYTEST_ADDOPTS ROCM_DOCKER_TTY
# Export Python path for commands that run directly on the host. Containerized
# tests set this to /vllm-workspace below so spawned Python processes do not
# depend on their current working directory.
export PYTHONPATH="${PYTHONPATH:-..}"
# Export Python path
export PYTHONPATH=".."
###############################################################################
# Helper Functions
@@ -65,109 +52,6 @@ cleanup_network() {
fi
}
prepare_artifact_image() {
if [[ "${VLLM_CI_USE_ARTIFACTS:-0}" != "1" ]]; then
return 1
fi
if ! command -v buildkite-agent >/dev/null 2>&1; then
echo "buildkite-agent not found; cannot download ROCm wheel artifact"
return 1
fi
local artifact_glob="${VLLM_CI_ARTIFACT_GLOB:-artifacts/vllm-rocm-install/vllm-rocm-install.tar.gz}"
local archive=""
local metadata_file=""
local base_image="${VLLM_CI_BASE_IMAGE:-rocm/vllm-dev:ci_base}"
local artifact_image=""
local artifact_key=""
local base_digest=""
local wheel_dir=""
local context_dir=""
local workspace_dir=""
artifact_work_dir=$(mktemp -d -t vllm-rocm-artifact.XXXXXX)
wheel_dir="${artifact_work_dir}/wheels"
context_dir="${artifact_work_dir}/context"
workspace_dir="${context_dir}/workspace"
mkdir -p "${wheel_dir}" "${context_dir}/wheels" "${workspace_dir}"
echo "--- Downloading ROCm wheel artifact"
if ! buildkite-agent artifact download "${artifact_glob}" "${artifact_work_dir}"; then
echo "Failed to download ${artifact_glob}"
return 1
fi
buildkite-agent artifact download \
"artifacts/vllm-rocm-install/ci-base-image.txt" \
"${artifact_work_dir}" >/dev/null 2>&1 || true
archive=$(find "${artifact_work_dir}" -name "vllm-rocm-install.tar.gz" -type f | head -1)
if [[ -z "${archive}" || ! -f "${archive}" ]]; then
echo "ROCm wheel artifact archive was not found"
return 1
fi
metadata_file=$(find "${artifact_work_dir}" -name "ci-base-image.txt" -type f | head -1)
if [[ -n "${metadata_file}" && -s "${metadata_file}" ]]; then
base_image=$(tr -d '[:space:]' < "${metadata_file}")
fi
echo "--- Preparing local ROCm test image"
echo "Base image: ${base_image}"
docker pull "${base_image}" || return 1
base_digest=$(
docker image inspect \
--format='{{if .RepoDigests}}{{index .RepoDigests 0}}{{else}}{{.Id}}{{end}}' \
"${base_image}" 2>/dev/null || printf '%s' "${base_image}"
)
artifact_key=$(
{
printf 'base-image:%s\n' "${base_digest}"
sha256sum "${archive}"
} | sha256sum | cut -c1-24
)
artifact_image="rocm/vllm-ci-artifact:${artifact_key}"
if docker image inspect "${artifact_image}" >/dev/null 2>&1; then
echo "Using existing local ROCm artifact image: ${artifact_image}"
image_name="${artifact_image}"
return 0
fi
tar -xzf "${archive}" -C "${wheel_dir}" || return 1
if ! ls "${wheel_dir}"/*.whl >/dev/null 2>&1; then
echo "ROCm wheel artifact did not contain a wheel"
return 1
fi
if [[ ! -d "${wheel_dir}/tests" ]]; then
echo "ROCm wheel artifact did not contain the test workspace"
return 1
fi
cp "${wheel_dir}"/*.whl "${context_dir}/wheels/" || return 1
tar -C "${wheel_dir}" --exclude='*.whl' -cf - . \
| tar -C "${workspace_dir}" -xf - || return 1
cat > "${context_dir}/Dockerfile" <<'EOF'
ARG BASE_IMAGE
FROM ${BASE_IMAGE}
COPY wheels/ /tmp/vllm-wheels/
COPY workspace/ /vllm-workspace/
RUN python3 -m pip install --no-deps --force-reinstall /tmp/vllm-wheels/*.whl \
&& rm -rf /tmp/vllm-wheels
WORKDIR /vllm-workspace
EOF
echo "--- Building local ROCm test image"
docker build \
--pull=false \
--progress "${BUILDKIT_PROGRESS}" \
--build-arg "BASE_IMAGE=${base_image}" \
-t "${artifact_image}" \
"${context_dir}" || return 1
image_name="${artifact_image}"
return 0
}
is_multi_node() {
local cmds="$1"
# Primary signal: NUM_NODES environment variable set by the pipeline
@@ -359,44 +243,22 @@ report_docker_usage
# --- Pull test image ---
echo "--- Pulling container"
image_name="${VLLM_CI_FALLBACK_IMAGE:-rocm/vllm-ci:${BUILDKITE_COMMIT:-local}}"
artifact_work_dir=""
image_name="rocm/vllm-ci:${BUILDKITE_COMMIT}"
container_name="rocm_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head -c 10; echo)"
docker pull "${image_name}"
remove_docker_container() {
if docker container inspect "${container_name}" >/dev/null 2>&1; then
docker rm -f "${container_name}" || true
fi
if [[ "${VLLM_CI_REMOVE_TEST_IMAGE:-0}" == "1" ]]; then
docker image rm -f "${image_name}" || true
else
# Keep images by default so later jobs on the same AMD node can reuse layers.
echo "Keeping ROCm test image locally: ${image_name}"
fi
if [[ -n "${artifact_work_dir}" ]]; then
rm -rf "${artifact_work_dir}"
fi
# docker run uses --rm, so the container is normally already gone when the
# EXIT trap runs. Cleanup is best-effort and must not affect the test result.
docker rm -f "${container_name}" >/dev/null 2>&1 || true
}
trap remove_docker_container EXIT
# python_only_compile.sh runs `python setup.py develop` and needs the full repo tree
# under /vllm-workspace (Dockerfile.rocm test stage: mkdir src && mv vllm).
# The ROCm wheel artifact tarball only ships a thin tree (tests, etc.), so
# artifact images cannot satisfy that test — use the full rocm/vllm-ci image.
_cmd_probe="${VLLM_TEST_COMMANDS:-}"
if [[ -z "${_cmd_probe}" ]]; then
_cmd_probe="$*"
fi
if [[ "${VLLM_CI_USE_ARTIFACTS:-0}" == "1" && "${_cmd_probe}" == *python_only_compile.sh* ]]; then
echo "INFO: disabling VLLM_CI_USE_ARTIFACTS for python_only_compile (requires full /vllm-workspace tree)"
export VLLM_CI_USE_ARTIFACTS=0
fi
unset -v _cmd_probe
if ! prepare_artifact_image; then
echo "Using full ROCm CI image: ${image_name}"
docker pull "${image_name}" || exit 1
fi
on_exit() {
local exit_code=$?
remove_docker_container
exit "$exit_code"
}
trap on_exit EXIT
# --- Prepare commands ---
echo "--- Running container"
@@ -405,14 +267,6 @@ HF_CACHE="$(realpath ~)/huggingface"
mkdir -p "${HF_CACHE}"
HF_MOUNT="/root/.cache/huggingface"
# Hugging Face Hub defaults to 10s request/download timeouts, while the ROCm
# CI image currently raises downloads to 60s. AMD model-test jobs routinely
# start from a cold or partially-populated shared cache, and the 60s read cap
# has still timed out before pytest reached the vLLM behavior under test.
# Keep the CI default explicit and overridable from the Buildkite environment.
: "${HF_HUB_DOWNLOAD_TIMEOUT:=300}"
: "${HF_HUB_ETAG_TIMEOUT:=60}"
# ---- Command source selection ----
# Prefer VLLM_TEST_COMMANDS (preserves all inner quoting intact).
# Fall back to $* for backward compatibility, but warn that inner
@@ -452,34 +306,7 @@ fi
echo "Final commands: $commands"
# The ROCm test image often ships /vllm-workspace without .git (artifact tarball unpack).
# tests/standalone_tests/python_only_compile.sh uses merge-base(HEAD, origin/main) for
# wheels.vllm.ai; compute on the agent (full git checkout) and pass into the container.
vllm_standalone_merge_base=""
checkout="${BUILDKITE_BUILD_CHECKOUT_PATH:-}"
if [[ -z "${checkout}" || ! -d "${checkout}" ]]; then
checkout="."
fi
# Pass safe.directory per-command (-c) because buildkite runs will always fail
# the next check on git 2.35.2+ due to mixed uses of root and buildkite-agent/uids.
if git -c "safe.directory=${checkout}" -C "${checkout}" rev-parse --is-inside-work-tree >/dev/null 2>&1; then
vllm_standalone_merge_base="$(
git -c "safe.directory=${checkout}" -C "${checkout}" merge-base HEAD origin/main 2>/dev/null || true
)"
fi
if [[ -z "${vllm_standalone_merge_base}" ]]; then
vllm_standalone_merge_base="${BUILDKITE_COMMIT:-}"
fi
echo "INFO: passing VLLM_STANDALONE_MERGE_BASE into container: ${vllm_standalone_merge_base}"
MYPYTHONPATH="/vllm-workspace"
container_job_id="${BUILDKITE_JOB_ID:-${BUILDKITE_PARALLEL_JOB:-0}}"
container_job_id="${container_job_id//[^A-Za-z0-9_.-]/_}"
container_job_id_short="${container_job_id:0:8}"
CONTAINER_TMPDIR="/tmp/vllm-${container_job_id_short}"
CONTAINER_CACHE_ROOT="/tmp/vllm-buildkite-${container_job_id}/cache"
CONTAINER_PREFLIGHT="mkdir -p \"\$TMPDIR\" \"\$TORCHINDUCTOR_CACHE_DIR\" \"\$TRITON_CACHE_DIR\" \"\$VLLM_CACHE_ROOT\" \"\$XDG_CACHE_HOME\" && python -c \"import encodings, importlib.metadata as im, importlib.util as iu; [im.version(d) for d in ('transformers', 'torch', 'ray', 'sympy', 'markupsafe', 'vllm')]; missing=[m for m in ('torch.utils.model_zoo', 'transformers.models.nomic_bert', 'ray.dag', 'sympy.physics', 'markupsafe._speedups') if iu.find_spec(m) is None]; assert not missing, missing\""
MYPYTHONPATH=".."
# Verify GPU access
render_gid=$(getent group render | cut -d: -f3)
@@ -547,62 +374,26 @@ if is_multi_node "$commands"; then
else
echo "--- Single-node job"
echo "Render devices: $BUILDKITE_AGENT_META_DATA_RENDER_DEVICES"
docker_run_terminal_args=(-i)
if [[ "${ROCM_DOCKER_TTY}" == "1" ]]; then
docker_run_terminal_args+=(-t)
echo "Docker interactive stdin: enabled; TTY allocation: enabled"
else
echo "Docker interactive stdin: enabled; TTY allocation: disabled"
fi
ulimit_core_hard=$(ulimit -H -c)
if [[ "$ulimit_core_hard" == "unlimited" ]]; then
# docker run can't pass "unlimited" to --ulimit
ulimit_core_hard="-1"
fi
# Disable core dumps in the ROCm test container unless the ROCm debug agent is enabled
coredump_flags="--ulimit core=0:$ulimit_core_hard"
if [[ "$commands" == *"ROCm debug agent enabled"* ]]; then
# Works around https://github.com/rocm/rocm-systems/issues/6206
coredump_flags='-e HSA_COREDUMP_PATTERN="/tmp/gpucore.%p"'
else
echo "ROCm debug agent not enabled, coredumps are disabled in the test container."
fi
docker run \
"${docker_run_terminal_args[@]}" \
--device /dev/kfd $BUILDKITE_AGENT_META_DATA_RENDER_DEVICES \
$RDMA_FLAGS \
--network=host \
--shm-size=16gb \
--group-add "$render_gid" \
--rm \
$coredump_flags \
-e HF_TOKEN \
-e "HF_HUB_DOWNLOAD_TIMEOUT=${HF_HUB_DOWNLOAD_TIMEOUT}" \
-e "HF_HUB_ETAG_TIMEOUT=${HF_HUB_ETAG_TIMEOUT}" \
-e AWS_ACCESS_KEY_ID \
-e AWS_SECRET_ACCESS_KEY \
-e BUILDKITE_PARALLEL_JOB \
-e BUILDKITE_PARALLEL_JOB_COUNT \
-e TERM \
-e FORCE_COLOR \
-e CLICOLOR_FORCE \
-e PY_COLORS \
-e PYTEST_ADDOPTS \
-v "${HF_CACHE}:${HF_MOUNT}" \
-e "HF_HOME=${HF_MOUNT}" \
-e "PYTHONPATH=${MYPYTHONPATH}" \
-e "TMPDIR=${CONTAINER_TMPDIR}/tmp" \
-e "TORCHINDUCTOR_CACHE_DIR=${CONTAINER_CACHE_ROOT}/torchinductor" \
-e "TRITON_CACHE_DIR=${CONTAINER_CACHE_ROOT}/triton" \
-e "VLLM_CACHE_ROOT=${CONTAINER_CACHE_ROOT}/vllm" \
-e "XDG_CACHE_HOME=${CONTAINER_CACHE_ROOT}/xdg" \
-e "PYTORCH_ROCM_ARCH=" \
-e "VLLM_STANDALONE_MERGE_BASE=${vllm_standalone_merge_base}" \
--name "${container_name}" \
"${image_name}" \
/bin/bash -c "${CONTAINER_PREFLIGHT} && ${commands}"
/bin/bash -c "${commands}"
exit_code=$?
handle_pytest_exit "$exit_code"
@@ -8,7 +8,7 @@ set -ex
CORE_RANGE=${CORE_RANGE:-0-31}
OMP_CORE_RANGE=${OMP_CORE_RANGE:-0-31}
export CMAKE_BUILD_PARALLEL_LEVEL=32
export CMAKE_BUILD_PARALLEL_LEVEL=16
# Setup cleanup
remove_docker_container() {
@@ -37,10 +37,8 @@ function cpu_tests() {
pytest -x -v -s tests/kernels/test_onednn.py
pytest -x -v -s tests/kernels/attention/test_cpu_attn.py
pytest -x -v -s tests/kernels/core/test_cpu_activation.py
pytest -x -v -s tests/kernels/moe/test_cpu_fused_moe.py
pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py
pytest -x -v -s tests/kernels/moe/test_cpu_int4_moe.py
pytest -x -v -s tests/kernels/mamba/test_cpu_short_conv.py"
pytest -x -v -s tests/kernels/moe/test_moe.py -k test_cpu_fused_moe_basic
pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py"
# skip tests requiring model downloads if HF_TOKEN is not set
# due to rate-limits
@@ -64,6 +62,7 @@ function cpu_tests() {
set -e
pytest -x -v -s tests/quantization/test_compressed_tensors.py::test_compressed_tensors_w8a8_logprobs"
# basic online serving
docker exec cpu-test bash -c '
set -e
+1 -40
View File
@@ -7,49 +7,10 @@ set -euox pipefail
# allow to bind to different cores
CORE_RANGE=${CORE_RANGE:-48-95}
NUMA_NODE=${NUMA_NODE:-1}
AGENT_SLOT=${AGENT_SLOT:-}
IMAGE_NAME="cpu-test-${NUMA_NODE}${AGENT_SLOT:+-${AGENT_SLOT}}"
IMAGE_NAME="cpu-test-$NUMA_NODE"
TIMEOUT_VAL=$1
TEST_COMMAND=$2
# Disk hygiene knobs. Reclaim space only once the Docker root filesystem crosses
# DISK_USAGE_THRESHOLD percent, and cap the shared BuildKit cache at
# BUILDKIT_CACHE_MAX so subsequent builds keep reusing the hottest layers.
DISK_USAGE_THRESHOLD=${DISK_USAGE_THRESHOLD:-70}
BUILDKIT_CACHE_MAX=${BUILDKIT_CACHE_MAX:-80GB}
# Reclaim disk only when the host is under pressure. We trim (not purge) the
# shared BuildKit cache so cross-job/cross-agent reuse stays intact, and only
# touch dangling images; other agents' uniquely tagged images are left alone.
prune_if_disk_pressure() {
local docker_root disk_usage
docker_root=$(docker info -f '{{.DockerRootDir}}' 2>/dev/null || true)
if [ -z "$docker_root" ]; then
return 0
fi
disk_usage=$(df "$docker_root" 2>/dev/null | tail -1 | awk '{print $5}' | tr -d '%')
if [ "${disk_usage:-0}" -gt "$DISK_USAGE_THRESHOLD" ]; then
echo "--- :broom: Disk usage ${disk_usage}% exceeds ${DISK_USAGE_THRESHOLD}%, reclaiming space"
docker image prune -f || true
docker builder prune -f --keep-storage="$BUILDKIT_CACHE_MAX" || true
else
echo "Disk usage ${disk_usage:-unknown}% within ${DISK_USAGE_THRESHOLD}% threshold; skipping prune"
fi
}
# Always drop this agent's image once the job ends (the default builder never
# uses it as a cache source, so removing it costs no rebuild speed), then
# reclaim space if needed. Guard every docker call with `|| true` so the trap
# never overrides the test's exit code.
cleanup() {
docker image rm -f "$IMAGE_NAME" || true
prune_if_disk_pressure
}
trap cleanup EXIT
# Free space up front so a nearly-full host doesn't fail the build.
prune_if_disk_pressure
# building the docker image
echo "--- :docker: Building Docker image"
docker build --progress plain --tag "$IMAGE_NAME" --target vllm-test -f docker/Dockerfile.cpu .
@@ -1,52 +0,0 @@
#!/bin/bash
set -euo pipefail
test_suite="${1:-}"
if [[ -z "${test_suite}" ]]; then
echo "Usage: $0 <example|v1|server>" >&2
exit 1
fi
case "${test_suite}" in
example)
pip install tblib==3.1.0
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 -O3 -cc.cudagraph_mode=NONE
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager -tp 2 --distributed-executor-backend mp
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --attention-backend=TRITON_ATTN
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --quantization fp8
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --kv-cache-dtype fp8
python3 examples/basic/offline_inference/generate.py --model nvidia/Llama-3.1-8B-Instruct-FP8 --block-size 64 --enforce-eager --quantization modelopt --kv-cache-dtype fp8 --attention-backend TRITON_ATTN --max-model-len 4096
python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --block-size 64 --enforce-eager --max-model-len 8192
python3 examples/basic/offline_inference/generate.py --model TheBloke/TinyLlama-1.1B-Chat-v0.3-AWQ --block-size 64 --enforce-eager
python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2
python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 --enable-expert-parallel
python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --max-model-len 8192
;;
v1)
cd tests
pytest -v -s v1/core --ignore=v1/core/test_reset_prefix_cache_e2e.py --ignore=v1/core/test_scheduler_e2e.py
pytest -v -s v1/engine --ignore=v1/engine/test_output_processor.py
pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py -k "not test_topk_only and not test_topp_only and not test_topk_and_topp"
pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py --ignore=v1/worker/test_worker_memory_snapshot.py
pytest -v -s v1/structured_output
pytest -v -s v1/test_serial_utils.py
pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py --ignore=v1/spec_decode/test_speculators_correctness.py
pytest -v -s v1/kv_connector/unit --ignore=v1/kv_connector/unit/test_multi_connector.py --ignore=v1/kv_connector/unit/test_example_connector.py --ignore=v1/kv_connector/unit/test_lmcache_integration.py --ignore=v1/kv_connector/unit/test_hf3fs_client.py --ignore=v1/kv_connector/unit/test_hf3fs_connector.py --ignore=v1/kv_connector/unit/test_hf3fs_metadata_server.py --ignore=v1/kv_connector/unit/test_offloading_connector.py
;;
server)
pip install av
cd tests
pytest -v -s entrypoints/multimodal/openai/chat_completion/test_audio_in_video.py
pytest -v -s benchmarks/test_serve_cli.py
;;
*)
echo "Unknown Intel test suite: ${test_suite}" >&2
exit 1
;;
esac
@@ -243,10 +243,8 @@ container_name="xpu_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head
# ---- Command source selection ----
commands=""
commands_source=""
if [[ -n "${VLLM_TEST_COMMANDS:-}" ]]; then
commands="${VLLM_TEST_COMMANDS}"
commands_source="env"
echo "Commands sourced from VLLM_TEST_COMMANDS (quoting preserved)"
elif [[ $# -gt 0 ]]; then
all_yaml=true
@@ -305,12 +303,8 @@ if [[ -z "$commands" ]]; then
fi
echo "Raw commands: $commands"
if [[ "$commands_source" != "env" ]]; then
commands=$(re_quote_pytest_markers "$commands")
echo "After re-quoting: $commands"
else
echo "Skipping re-quoting for VLLM_TEST_COMMANDS input"
fi
commands=$(re_quote_pytest_markers "$commands")
echo "After re-quoting: $commands"
commands=$(apply_intel_test_overrides "$commands")
echo "Final commands: $commands"
@@ -330,6 +324,23 @@ IMAGE="${IMAGE_TAG_XPU:-${image_name}}"
echo "Using image: ${IMAGE}"
if docker image inspect "${IMAGE}" >/dev/null 2>&1; then
echo "Image already exists locally, skipping pull"
else
echo "Image not found locally, waiting for lock..."
flock /tmp/docker-pull.lock bash -c "
if docker image inspect '${IMAGE}' >/dev/null 2>&1; then
echo 'Image already pulled by another runner'
else
echo 'Pulling image...'
timeout 900 docker pull '${IMAGE}'
fi
"
echo "Pull step completed"
fi
remove_docker_container() {
docker rm -f "${container_name}" || true
}
@@ -346,12 +357,9 @@ export HF_TOKEN ZE_AFFINITY_MASK
{
flock 9
if docker image inspect "${IMAGE}" >/dev/null 2>&1; then
echo "Image already exists locally, skipping pull"
else
echo "Image not found locally, pulling image..."
if ! docker image inspect "${IMAGE}" >/dev/null 2>&1; then
echo 'Image missing before container creation, pulling again...'
timeout 900 docker pull "${IMAGE}"
echo "Pull step completed"
fi
docker create \
@@ -360,16 +368,14 @@ export HF_TOKEN ZE_AFFINITY_MASK
--ipc=host \
--privileged \
-v /dev/dri/by-path:/dev/dri/by-path \
-v "/data/huggingface:/root/.cache/huggingface" \
-v "${HOME}/.cache/huggingface:/root/.cache/huggingface" \
--entrypoint='' \
-e HF_TOKEN \
-e ZE_AFFINITY_MASK \
-e BUILDKITE_PARALLEL_JOB \
-e BUILDKITE_PARALLEL_JOB_COUNT \
-e CMDS \
--name "${container_name}" \
"${IMAGE}" \
bash -c 'set -e; source /opt/intel/oneapi/setvars.sh --force; source /opt/intel/oneapi/ccl/2021.15/env/vars.sh --force; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"' \
bash -c 'set -e; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"' \
>/dev/null
} 9>/tmp/docker-pull.lock
@@ -85,7 +85,7 @@ RUN pip config set global.index-url http://cache-service-vllm.nginx-pypi-cache.s
# Install for pytest to make the docker build cache layer always valid
RUN --mount=type=cache,target=/root/.cache/pip \
pip install pytest>=6.0 'modelscope<1.38'
pip install pytest>=6.0 modelscope
WORKDIR /workspace/vllm
@@ -4,11 +4,6 @@
set -euo pipefail
if python3 -c "import torch; raise SystemExit(0 if torch.version.hip is not None else 1)"; then
uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
exit 0
fi
REQUIREMENTS_FILE="${KV_CONNECTORS_REQUIREMENTS:-/vllm-workspace/requirements/kv_connectors.txt}"
uv pip install --system -r "${REQUIREMENTS_FILE}"
-32
View File
@@ -1,32 +0,0 @@
#!/usr/bin/env bash
# Build the ROCm ci_base image, optionally from a freshly rebuilt ROCm base.
set -euo pipefail
metadata_get() {
local key="$1"
if command -v buildkite-agent >/dev/null 2>&1; then
buildkite-agent meta-data get "${key}" 2>/dev/null || true
fi
}
main() {
local base_refreshed=""
base_refreshed="$(metadata_get rocm-base-refresh)"
if [[ "${base_refreshed}" == "1" ]]; then
export BASE_IMAGE
export CI_BASE_PUSH_STABLE_TAG
BASE_IMAGE="$(metadata_get rocm-base-image)"
CI_BASE_PUSH_STABLE_TAG="$(metadata_get rocm-base-push-stable-tag)"
CI_BASE_PUSH_STABLE_TAG="${CI_BASE_PUSH_STABLE_TAG:-0}"
echo "Using refreshed ROCm base image for ci_base: ${BASE_IMAGE}"
echo "Push stable ci_base tag: ${CI_BASE_PUSH_STABLE_TAG}"
fi
bash .buildkite/scripts/ci-bake-rocm.sh ci-base-rocm-ci-with-deps
}
main "$@"
@@ -1,57 +0,0 @@
#!/usr/bin/env bash
# Build the ROCm CI test image or wheel artifact.
#
# When Dockerfile.rocm_base changes, always build the full image so downstream
# ROCm tests can validate the freshly rebuilt base -> ci_base -> ci image chain.
set -euo pipefail
metadata_get() {
local key="$1"
if command -v buildkite-agent >/dev/null 2>&1; then
buildkite-agent meta-data get "${key}" 2>/dev/null || true
fi
}
use_refreshed_base_if_present() {
local base_refreshed=""
base_refreshed="$(metadata_get rocm-base-refresh)"
if [[ "${base_refreshed}" != "1" ]]; then
return 1
fi
export BASE_IMAGE
export CI_BASE_IMAGE
export IMAGE_TAG_LATEST
BASE_IMAGE="$(metadata_get rocm-base-image)"
CI_BASE_IMAGE="$(metadata_get rocm-ci-base-image)"
IMAGE_TAG_LATEST="$(metadata_get rocm-ci-image-descriptive)"
echo "Using refreshed ROCm base image for test image: ${BASE_IMAGE}"
echo "Using refreshed ROCm ci_base image for test image: ${CI_BASE_IMAGE}"
if [[ -n "${IMAGE_TAG_LATEST}" ]]; then
echo "Also tagging full ROCm CI image as: ${IMAGE_TAG_LATEST}"
fi
return 0
}
main() {
local base_refreshed=0
if use_refreshed_base_if_present; then
base_refreshed=1
fi
if [[ "${ROCM_CI_ARTIFACT_ONLY:-0}" == "1" && "${base_refreshed}" != "1" ]]; then
echo "ROCM_CI_ARTIFACT_ONLY=1; building ROCm wheel artifact only"
IMAGE_TAG="" bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-artifacts
return
fi
bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-wheel
}
main "$@"
@@ -1,513 +0,0 @@
#!/usr/bin/env bash
# Build and publish a fresh ROCm base image when Dockerfile.rocm_base changes.
#
# Normal AMD CI builds should not pay for this path. The script no-ops unless
# docker/Dockerfile.rocm_base changed relative to the branch base, the previous
# main commit, or ROCM_BASE_REFRESH_FORCE=1 is set.
set -euo pipefail
DOCKERFILE="${ROCM_BASE_DOCKERFILE:-docker/Dockerfile.rocm_base}"
BASE_REPO="${ROCM_BASE_IMAGE_REPO:-rocm/vllm-dev}"
CI_IMAGE_REPO="${ROCM_CI_IMAGE_REPO:-rocm/vllm-ci}"
BUILDER_NAME="${ROCM_BASE_BUILDER_NAME:-vllm-rocm-base-builder}"
DEFAULT_ROCM_BASE_METADATA_VERSION="1"
DEFAULT_ROCM_BASE_CONTENT_FILES="${DOCKERFILE}"
DEFAULT_ROCM_BASE_CONTENT_ARGS="BASE_IMAGE TRITON_BRANCH TRITON_REPO PYTORCH_BRANCH PYTORCH_REPO PYTORCH_VISION_BRANCH PYTORCH_VISION_REPO PYTORCH_AUDIO_BRANCH PYTORCH_AUDIO_REPO FA_BRANCH FA_REPO AITER_BRANCH AITER_REPO MORI_BRANCH MORI_REPO PYTORCH_ROCM_ARCH PYTHON_VERSION USE_SCCACHE"
metadata_set() {
local key="$1"
local value="$2"
[[ -n "${value}" ]] || return 0
if command -v buildkite-agent >/dev/null 2>&1; then
buildkite-agent meta-data set "${key}" "${value}" || true
fi
}
compute_content_hash() {
local path=""
local file=""
for path in "$@"; do
if [[ -d "${path}" ]]; then
while IFS= read -r -d '' file; do
printf 'file:%s\n' "${file}"
sha256sum "${file}"
done < <(find "${path}" -type f -print0 | sort -z)
elif [[ -f "${path}" ]]; then
printf 'file:%s\n' "${path}"
sha256sum "${path}"
else
printf 'missing:%s\n' "${path}"
fi
done | sha256sum | cut -d' ' -f1
}
clean_docker_tag() {
local input="$1"
echo "${input}" | sed 's/[^a-zA-Z0-9._-]/_/g' | cut -c1-128
}
tag_component() {
local input="$1"
local max_chars="${2:-24}"
clean_docker_tag "${input:-unknown}" | cut -c1-"${max_chars}"
}
extract_arg_default() {
local arg_name="$1"
sed -n -E "s/^[[:space:]]*ARG[[:space:]]+${arg_name}=\"?([^\"[:space:]]+)\"?.*/\\1/p" \
"${DOCKERFILE}" | head -1
}
resolve_image_digest() {
local image_ref="$1"
docker buildx imagetools inspect "${image_ref}" 2>/dev/null \
| sed -n -E 's/^Digest:[[:space:]]+//p' \
| head -1 || true
}
resolve_rocm_base_arg_value() {
local arg_name="$1"
local use_sccache="$2"
case "${arg_name}" in
USE_SCCACHE)
printf '%s\n' "${use_sccache}"
;;
*)
extract_arg_default "${arg_name}"
;;
esac
}
hash_rocm_base_arg_values() {
local use_sccache="$1"
local base_image_digest="$2"
local arg_name=""
local arg_value=""
shift 2 || true
for arg_name in "$@"; do
[[ -n "${arg_name}" ]] || continue
arg_value=$(resolve_rocm_base_arg_value "${arg_name}" "${use_sccache}")
printf 'arg:%s=%s\n' "${arg_name}" "${arg_value:-<empty>}"
if [[ "${arg_name}" == "BASE_IMAGE" && -n "${arg_value}" ]]; then
printf 'arg:%s.digest=%s\n' "${arg_name}" "${base_image_digest:-unknown}"
fi
done
}
rocm_version_from_base_image() {
local base_image="$1"
local version=""
version="$(sed -n -E 's/.*:([0-9]+\.[0-9]+(\.[0-9]+)?)-.*/\1/p' <<<"${base_image}")"
tag_component "${version:-${base_image}}" 16
}
git_diff_changed_base() {
local range="$1"
[[ -n "$(git diff --name-only "${range}" -- "${DOCKERFILE}" 2>/dev/null)" ]]
}
short_git_ref() {
local ref="$1"
git rev-parse --short "${ref}" 2>/dev/null || printf '%s\n' "${ref}"
}
extract_arg_default_from_ref() {
local ref="$1"
local arg_name="$2"
local content=""
content="$(git show "${ref}:${DOCKERFILE}" 2>/dev/null || true)"
sed -n -E "s/^[[:space:]]*ARG[[:space:]]+${arg_name}=\"?([^\"[:space:]]+)\"?.*/\\1/p" \
<<<"${content}" | head -1
}
log_arg_default_changes() {
local old_ref="$1"
local new_ref="$2"
local content_args="${ROCM_BASE_CONTENT_ARGS:-${DEFAULT_ROCM_BASE_CONTENT_ARGS}}"
local arg_name=""
local old_value=""
local new_value=""
local changed=0
echo "Changed ROCm base ARG defaults:"
for arg_name in ${content_args}; do
old_value="$(extract_arg_default_from_ref "${old_ref}" "${arg_name}")"
new_value="$(extract_arg_default_from_ref "${new_ref}" "${arg_name}")"
if [[ "${old_value}" != "${new_value}" ]]; then
echo " - ${arg_name}: ${old_value:-<unset>} -> ${new_value:-<unset>}"
changed=1
fi
done
if [[ "${changed}" == "0" ]]; then
echo " - none detected; Dockerfile instructions changed outside tracked ARG defaults"
fi
}
log_arg_line_diff() {
local range="$1"
local arg_diff=""
arg_diff="$(
git diff --unified=0 "${range}" -- "${DOCKERFILE}" 2>/dev/null \
| awk '/^[+-][[:space:]]*ARG[[:space:]]/ && $0 !~ /^(---|\+\+\+)/ { print " " $0 }' \
|| true
)"
if [[ -n "${arg_diff}" ]]; then
echo "Changed Dockerfile ARG lines:"
printf '%s\n' "${arg_diff}"
fi
}
log_rocm_base_change_check() {
local context="$1"
local range="$2"
local old_ref="$3"
local old_short=""
local head_short=""
old_short="$(short_git_ref "${old_ref}")"
head_short="$(short_git_ref HEAD)"
echo "--- :mag: ROCm base refresh check"
echo "Context: ${context}"
echo "Dockerfile: ${DOCKERFILE}"
echo "Base revision: ${old_short}"
echo "Head revision: ${head_short}"
echo "Git diff range: ${range}"
}
log_rocm_base_rebuild_reason() {
local context="$1"
local range="$2"
local old_ref="$3"
local changed_files=""
log_rocm_base_change_check "${context}" "${range}" "${old_ref}"
changed_files="$(git diff --name-only "${range}" -- "${DOCKERFILE}" 2>/dev/null || true)"
echo "Changed files:"
if [[ -n "${changed_files}" ]]; then
sed 's/^/ - /' <<<"${changed_files}"
else
echo " - ${DOCKERFILE}"
fi
log_arg_default_changes "${old_ref}" HEAD
log_arg_line_diff "${range}"
echo "Decision: rebuilding ROCm base image because ${DOCKERFILE} changed."
}
rocm_base_changed_in_range() {
local context="$1"
local range="$2"
local old_ref="$3"
if git_diff_changed_base "${range}"; then
log_rocm_base_rebuild_reason "${context}" "${range}" "${old_ref}"
return 0
fi
log_rocm_base_change_check "${context}" "${range}" "${old_ref}"
echo "Decision: ROCm base refresh not required; ${DOCKERFILE} is unchanged."
return 1
}
rocm_base_changed() {
local base_branch="${BUILDKITE_PULL_REQUEST_BASE_BRANCH:-main}"
local base_ref="refs/remotes/origin/${base_branch}"
local merge_base=""
if [[ "${ROCM_BASE_REFRESH_SKIP:-0}" == "1" ]]; then
echo "ROCM_BASE_REFRESH_SKIP=1 set; skipping ROCm base refresh"
return 1
fi
if [[ "${ROCM_BASE_REFRESH_FORCE:-0}" == "1" ]]; then
echo "ROCM_BASE_REFRESH_FORCE=1 set; refreshing ROCm base image"
return 0
fi
if ! git rev-parse --is-inside-work-tree >/dev/null 2>&1; then
echo "Not in a git checkout; skipping ROCm base refresh unless forced"
return 1
fi
if [[ "${BUILDKITE_PULL_REQUEST:-false}" != "false" ]]; then
git fetch --no-tags --depth=200 origin \
"+refs/heads/${base_branch}:${base_ref}" >/dev/null 2>&1 || true
merge_base=$(git merge-base HEAD "${base_ref}" 2>/dev/null || true)
if [[ -z "${merge_base}" ]]; then
echo "Unable to determine merge base with PR base ${base_ref}; skipping ROCm base refresh unless forced"
return 1
fi
if rocm_base_changed_in_range \
"pull request build against ${base_ref}" \
"${merge_base}...HEAD" \
"${merge_base}"; then
return 0
fi
elif [[ "${BUILDKITE_BRANCH:-}" == "${ROCM_BASE_STABLE_BRANCH:-main}" ]] \
&& git rev-parse --verify HEAD~1 >/dev/null 2>&1; then
if rocm_base_changed_in_range \
"stable branch build; comparing against previous ${ROCM_BASE_STABLE_BRANCH:-main} commit" \
"HEAD~1..HEAD" \
"HEAD~1"; then
return 0
fi
else
git fetch --no-tags --depth=200 origin \
"+refs/heads/${base_branch}:${base_ref}" >/dev/null 2>&1 || true
merge_base=$(git merge-base HEAD "${base_ref}" 2>/dev/null || true)
if [[ -z "${merge_base}" ]]; then
echo "Unable to determine merge base with branch base ${base_ref}; skipping ROCm base refresh unless forced"
return 1
fi
if rocm_base_changed_in_range \
"branch build against ${base_ref}" \
"${merge_base}...HEAD" \
"${merge_base}"; then
return 0
fi
fi
return 1
}
should_push_stable_tag() {
if [[ "${BUILDKITE_PULL_REQUEST:-false}" != "false" ]]; then
return 1
fi
if [[ "${ROCM_BASE_PUSH_STABLE_TAG:-}" == "1" ]]; then
return 0
fi
if [[ "${ROCM_BASE_PUSH_STABLE_TAG:-}" == "0" ]]; then
return 1
fi
[[ "${BUILDKITE_PULL_REQUEST:-false}" == "false" \
&& "${BUILDKITE_BRANCH:-}" == "${ROCM_BASE_STABLE_BRANCH:-main}" ]]
}
setup_builder() {
echo "--- :buildkite: Setting up buildx builder for ROCm base"
if docker buildx inspect "${BUILDER_NAME}" >/dev/null 2>&1; then
docker buildx use "${BUILDER_NAME}"
else
docker buildx create --name "${BUILDER_NAME}" --driver docker-container --use
fi
docker buildx inspect --bootstrap
}
compute_base_content_hash() {
local use_sccache="$1"
local base_image_digest="$2"
local content_files="${ROCM_BASE_CONTENT_FILES:-${DEFAULT_ROCM_BASE_CONTENT_FILES}}"
local content_args="${ROCM_BASE_CONTENT_ARGS:-${DEFAULT_ROCM_BASE_CONTENT_ARGS}}"
local -a content_paths=()
local -a content_arg_names=()
read -r -a content_paths <<< "${content_files}"
read -r -a content_arg_names <<< "${content_args}"
{
printf 'content-files-hash:%s\n' "$(compute_content_hash "${content_paths[@]}")"
printf 'dockerfile:%s\n' "${DOCKERFILE}"
printf 'resolved-build-args:\n'
hash_rocm_base_arg_values \
"${use_sccache}" "${base_image_digest}" "${content_arg_names[@]}"
} | sha256sum | cut -d' ' -f1
}
build_base_image() {
local use_sccache="${ROCM_BASE_USE_SCCACHE:-${USE_SCCACHE:-0}}"
local base_hash=""
local build_date=""
local build_suffix=""
local base_image_arg=""
local base_image_digest=""
local rocm_version=""
local triton_arg=""
local pytorch_arg=""
local pytorch_vision_arg=""
local pytorch_audio_arg=""
local fa_arg=""
local aiter_arg=""
local mori_arg=""
local python_version_arg=""
local pytorch_rocm_arch_arg=""
local pytorch_branch=""
local aiter_branch=""
local dependency_summary=""
local descriptor=""
local ci_descriptor=""
local descriptive_tag=""
local stable_tag="${BASE_REPO}:base"
local ci_descriptive_tag=""
local content_files="${ROCM_BASE_CONTENT_FILES:-${DEFAULT_ROCM_BASE_CONTENT_FILES}}"
local content_args="${ROCM_BASE_CONTENT_ARGS:-${DEFAULT_ROCM_BASE_CONTENT_ARGS}}"
local content_files_hash=""
local metadata_version="${ROCM_BASE_METADATA_VERSION:-${DEFAULT_ROCM_BASE_METADATA_VERSION}}"
local -a tags=()
local -a no_cache_args=()
local -a sccache_args=()
local -a content_paths=()
if [[ ! -f "${DOCKERFILE}" ]]; then
echo "Error: ROCm base Dockerfile not found: ${DOCKERFILE}" >&2
exit 1
fi
build_date="${ROCM_BASE_TAG_DATE:-$(date -u +%Y%m%d)}"
if [[ -n "${BUILDKITE_BUILD_NUMBER:-}" ]]; then
build_suffix="_bk_${BUILDKITE_BUILD_NUMBER}"
fi
base_image_arg="$(extract_arg_default BASE_IMAGE)"
base_image_digest="$(resolve_image_digest "${base_image_arg}")"
read -r -a content_paths <<< "${content_files}"
content_files_hash="$(compute_content_hash "${content_paths[@]}")"
base_hash=$(compute_base_content_hash "${use_sccache}" "${base_image_digest}")
rocm_version="$(rocm_version_from_base_image "${base_image_arg}")"
triton_arg="$(extract_arg_default TRITON_BRANCH)"
pytorch_arg="$(extract_arg_default PYTORCH_BRANCH)"
pytorch_vision_arg="$(extract_arg_default PYTORCH_VISION_BRANCH)"
pytorch_audio_arg="$(extract_arg_default PYTORCH_AUDIO_BRANCH)"
fa_arg="$(extract_arg_default FA_BRANCH)"
aiter_arg="$(extract_arg_default AITER_BRANCH)"
mori_arg="$(extract_arg_default MORI_BRANCH)"
python_version_arg="$(extract_arg_default PYTHON_VERSION)"
pytorch_rocm_arch_arg="$(extract_arg_default PYTORCH_ROCM_ARCH)"
pytorch_branch="$(tag_component "${pytorch_arg}" 16)"
aiter_branch="$(tag_component "${aiter_arg}" 24)"
dependency_summary="base=${base_image_arg},rocm=${rocm_version},python=${python_version_arg},pytorch=${pytorch_arg},torchvision=${pytorch_vision_arg},torchaudio=${pytorch_audio_arg},triton=${triton_arg},flash-attn=${fa_arg},aiter=${aiter_arg},mori=${mori_arg},pytorch-rocm-arch=${pytorch_rocm_arch_arg}"
descriptor="$(clean_docker_tag "base_custom_aiter_${aiter_branch}_torch_${pytorch_branch}_${build_date}${build_suffix}")"
ci_descriptor="$(clean_docker_tag "ci_custom_aiter_${aiter_branch}_torch_${pytorch_branch}_${build_date}${build_suffix}")"
descriptive_tag="${BASE_REPO}:${descriptor}"
ci_descriptive_tag="${CI_IMAGE_REPO}:${ci_descriptor}"
tags=(-t "${descriptive_tag}")
if should_push_stable_tag; then
tags+=(-t "${stable_tag}")
metadata_set "rocm-base-push-stable-tag" "1"
else
metadata_set "rocm-base-push-stable-tag" "0"
fi
if [[ "${ROCM_BASE_NO_CACHE:-1}" == "1" ]]; then
no_cache_args=(--no-cache)
fi
for env_name in \
SCCACHE_DOWNLOAD_URL \
SCCACHE_ENDPOINT \
SCCACHE_BUCKET_NAME \
SCCACHE_REGION_NAME \
SCCACHE_S3_NO_CREDENTIALS; do
if [[ -n "${!env_name:-}" ]]; then
sccache_args+=(--build-arg "${env_name}=${!env_name}")
fi
done
echo "--- :docker: Building ROCm base image"
echo "Dockerfile: ${DOCKERFILE}"
echo "Descriptive tag: ${descriptive_tag}"
echo "Stable tag: ${stable_tag} ($(should_push_stable_tag && echo enabled || echo disabled))"
echo "Content hash: ${base_hash}"
echo "Dependency summary: ${dependency_summary}"
echo "USE_SCCACHE: ${use_sccache}"
docker buildx build \
"${no_cache_args[@]}" \
--pull \
--progress "${BUILDKIT_PROGRESS:-plain}" \
--file "${DOCKERFILE}" \
--build-arg "USE_SCCACHE=${use_sccache}" \
"${sccache_args[@]}" \
--label "org.opencontainers.image.source=https://github.com/vllm-project/vllm" \
--label "org.opencontainers.image.vendor=vLLM" \
--label "org.opencontainers.image.title=vLLM ROCm base" \
--label "org.opencontainers.image.revision=${BUILDKITE_COMMIT:-}" \
--label "vllm.rocm_base.metadata_version=${metadata_version}" \
--label "vllm.rocm_base.content_hash=${base_hash}" \
--label "vllm.rocm_base.content_files_hash=${content_files_hash}" \
--label "vllm.rocm_base.dockerfile=${DOCKERFILE}" \
--label "vllm.rocm_base.image.descriptive=${descriptive_tag}" \
--label "vllm.rocm_base.image.stable=${stable_tag}" \
--label "vllm.rocm_base.git_commit=${BUILDKITE_COMMIT:-}" \
--label "vllm.rocm_base.stable_branch=${ROCM_BASE_STABLE_BRANCH:-main}" \
--label "vllm.rocm_base.descriptor=${descriptor}" \
--label "vllm.rocm_base.dependency_summary=${dependency_summary}" \
--label "vllm.rocm_base.base_image=${base_image_arg}" \
--label "vllm.rocm_base.base_image_digest=${base_image_digest}" \
--label "vllm.rocm_base.dependency.rocm=${rocm_version}" \
--label "vllm.rocm_base.dependency.python=${python_version_arg}" \
--label "vllm.rocm_base.dependency.pytorch=${pytorch_arg}" \
--label "vllm.rocm_base.dependency.torchvision=${pytorch_vision_arg}" \
--label "vllm.rocm_base.dependency.torchaudio=${pytorch_audio_arg}" \
--label "vllm.rocm_base.dependency.triton=${triton_arg}" \
--label "vllm.rocm_base.dependency.flash_attention=${fa_arg}" \
--label "vllm.rocm_base.dependency.aiter=${aiter_arg}" \
--label "vllm.rocm_base.dependency.mori=${mori_arg}" \
--label "vllm.rocm_base.pytorch_rocm_arch=${pytorch_rocm_arch_arg}" \
"${tags[@]}" \
--push \
.
docker buildx imagetools inspect "${descriptive_tag}" >/dev/null
metadata_set "rocm-base-refresh" "1"
metadata_set "rocm-base-image" "${descriptive_tag}"
metadata_set "rocm-base-image-descriptive" "${descriptive_tag}"
metadata_set "rocm-base-image-stable" "${stable_tag}"
metadata_set "rocm-base-image-ci-descriptive" "${ci_descriptive_tag}"
metadata_set "rocm-base-metadata-version" "${metadata_version}"
metadata_set "rocm-base-content-hash" "${base_hash}"
metadata_set "rocm-base-content-files-hash" "${content_files_hash}"
metadata_set "rocm-base-content-files" "${content_files}"
metadata_set "rocm-base-content-args" "${content_args}"
metadata_set "rocm-base-base-image-digest" "${base_image_digest}"
metadata_set "rocm-base-dockerfile" "${DOCKERFILE}"
metadata_set "rocm-base-descriptor" "${descriptor}"
metadata_set "rocm-base-dependency-summary" "${dependency_summary}"
metadata_set "rocm-base-dependency-rocm" "${rocm_version}"
metadata_set "rocm-base-dependency-python" "${python_version_arg}"
metadata_set "rocm-base-dependency-pytorch" "${pytorch_arg}"
metadata_set "rocm-base-dependency-torchvision" "${pytorch_vision_arg}"
metadata_set "rocm-base-dependency-torchaudio" "${pytorch_audio_arg}"
metadata_set "rocm-base-dependency-triton" "${triton_arg}"
metadata_set "rocm-base-dependency-flash-attention" "${fa_arg}"
metadata_set "rocm-base-dependency-aiter" "${aiter_arg}"
metadata_set "rocm-base-dependency-mori" "${mori_arg}"
metadata_set "rocm-base-pytorch-rocm-arch" "${pytorch_rocm_arch_arg}"
metadata_set "rocm-ci-image-descriptive" "${ci_descriptive_tag}"
echo "--- :white_check_mark: ROCm base image published"
echo "Use BASE_IMAGE=${descriptive_tag} for downstream ROCm CI builds"
}
main() {
metadata_set "rocm-base-refresh" "0"
if ! rocm_base_changed; then
echo "ROCm base Dockerfile did not change; skipping base image refresh"
return 0
fi
setup_builder
build_base_image
}
main "$@"
@@ -1,32 +0,0 @@
#!/usr/bin/env bash
# Fast structural smoke test for the full ROCm CI image.
set -euo pipefail
image_ref="${VLLM_CI_SMOKE_IMAGE:-rocm/vllm-ci:${BUILDKITE_COMMIT:?BUILDKITE_COMMIT is required}}"
docker run --rm --network=none --entrypoint /bin/bash "${image_ref}" -ec '
if [ ! -d /vllm-workspace ]; then echo Missing directory: /vllm-workspace >&2; exit 1; fi
if [ ! -d /vllm-workspace/tests ]; then echo Missing directory: /vllm-workspace/tests >&2; exit 1; fi
if [ ! -d /vllm-workspace/src/vllm ]; then echo Missing directory: /vllm-workspace/src/vllm >&2; exit 1; fi
if [ ! -x /vllm-workspace/src/vllm/vllm-rs ]; then echo Missing executable: /vllm-workspace/src/vllm/vllm-rs >&2; exit 1; fi
command -v python3
command -v uv
command -v pytest
if ! command -v amd-smi >/dev/null 2>&1 && ! command -v rocminfo >/dev/null 2>&1; then
echo No ROCm CLI found in image >&2
exit 1
fi
python3 - <<PY
import torch
import vllm
print(torch.__version__)
print(vllm.__version__)
PY
echo AMD image smoke OK
'
+1 -3
View File
@@ -109,9 +109,7 @@ run_nodes() {
if [ "$node" -ne 0 ]; then
docker exec -d "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
else
# Allocate a TTY (-t -i) for the foreground head node so its output
# keeps ANSI color in the Buildkite log (see run-amd-test.sh).
docker exec -t -i "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
docker exec "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
fi
done
}
@@ -8,12 +8,7 @@ if [[ "$MODE" != "style-clippy" && "$MODE" != "test" ]]; then
exit 2
fi
if ROOT_DIR="$(git rev-parse --show-toplevel 2>/dev/null)"; then
:
else
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd -P)"
ROOT_DIR="$(cd -- "${SCRIPT_DIR}/../.." && pwd -P)"
fi
ROOT_DIR="$(git rev-parse --show-toplevel)"
cd "$ROOT_DIR"
export CARGO_TERM_COLOR="${CARGO_TERM_COLOR:-always}"
@@ -95,16 +90,6 @@ install_cargo_sort() {
cargo binstall --no-confirm cargo-sort
}
install_cargo_deny() {
if command -v cargo-deny >/dev/null 2>&1; then
return
fi
log_section "Installing cargo-deny"
install_cargo_binstall
cargo binstall --no-confirm cargo-deny
}
install_cargo_nextest() {
if command -v cargo-nextest >/dev/null 2>&1; then
return
@@ -125,39 +110,8 @@ install_uv() {
| env UV_INSTALL_DIR="$CARGO_HOME/bin" sh
}
setup_pyo3_python() {
local python_version="${PYO3_PYTHON_VERSION:-3.12}"
log_section "Installing Python ${python_version} for PyO3 tests"
uv python install "$python_version"
PYO3_PYTHON="$(uv python find \
--managed-python \
--no-project \
--resolve-links \
"$python_version")"
export PYO3_PYTHON
local python_libdir
python_libdir="$("$PYO3_PYTHON" - <<'PY'
import pathlib
import sysconfig
libdir = pathlib.Path(sysconfig.get_config_var("LIBDIR"))
ldlibrary = sysconfig.get_config_var("LDLIBRARY")
assert sysconfig.get_config_var("Py_ENABLE_SHARED") == 1
assert ldlibrary
assert (libdir / ldlibrary).exists(), libdir / ldlibrary
print(libdir)
PY
)"
export LD_LIBRARY_PATH="${python_libdir}:${LD_LIBRARY_PATH:-}"
export LIBRARY_PATH="${python_libdir}:${LIBRARY_PATH:-}"
}
run_style_clippy() {
install_cargo_sort
install_cargo_deny
log_section "Checking Rust formatting"
cargo fmt --manifest-path rust/Cargo.toml --all -- --check
@@ -165,13 +119,6 @@ run_style_clippy() {
log_section "Checking Cargo.toml ordering"
cargo sort --workspace --check rust
log_section "Checking Rust dependency bans"
cargo deny \
--manifest-path rust/Cargo.toml \
--config rust/deny.toml \
check \
bans
log_section "Running clippy"
cargo clippy \
--manifest-path rust/Cargo.toml \
@@ -185,7 +132,6 @@ run_style_clippy() {
run_tests() {
install_uv
setup_pyo3_python
install_cargo_nextest
log_section "Running cargo nextest"
@@ -33,14 +33,6 @@ if [[ -n "${ATTENTION_BACKEND:-}" ]]; then
EXTRA_ARGS+=(--attention-backend "${ATTENTION_BACKEND}")
fi
# ROCm: run eager to avoid intermittent HIP-graph decode corruption.
# See https://github.com/ROCm/clr/issues/279
# TODO(aarushjain29): Revert after TheRock 7.14
if command -v rocm-smi &> /dev/null || command -v amd-smi &> /dev/null || [[ -d /opt/rocm ]] || [[ -n "${ROCM_PATH:-}" ]]; then
echo "ROCm platform detected: adding --enforce-eager to avoid HIP-graph decode corruption"
EXTRA_ARGS+=(--enforce-eager)
fi
cleanup() {
if [[ -n "${SERVER_PID:-}" ]] && kill -0 "${SERVER_PID}" 2>/dev/null; then
kill "${SERVER_PID}" 2>/dev/null || true
@@ -18,10 +18,6 @@ wait_for_server() {
MODEL="Qwen/Qwen3-30B-A3B-FP8"
BACK="allgather_reducescatter"
if command -v rocm-smi &> /dev/null || [[ -d /opt/rocm ]] || [[ -n "${ROCM_PATH:-}" ]]; then
# Disable MOE padding for ROCm since it is causing eplb to fail.
export VLLM_ROCM_MOE_PADDING=0
fi
cleanup() {
if [[ -n "${SERVER_PID:-}" ]] && kill -0 "${SERVER_PID}" 2>/dev/null; then
@@ -1,13 +0,0 @@
#!/bin/bash
set -euo pipefail
REGISTRY="public.ecr.aws/q9t5s3a7"
REPO="vllm-release-repo"
ARCH_TAG="${BUILDKITE_COMMIT}-$(uname -m)-xpu"
PLATFORM_TAG="${BUILDKITE_COMMIT}-xpu"
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin ${REGISTRY}
docker manifest rm ${REGISTRY}/${REPO}:${PLATFORM_TAG} || true
docker manifest create ${REGISTRY}/${REPO}:${PLATFORM_TAG} ${REGISTRY}/${REPO}:${ARCH_TAG} --amend
docker manifest push ${REGISTRY}/${REPO}:${PLATFORM_TAG}
+767 -944
View File
File diff suppressed because it is too large Load Diff
+2 -16
View File
@@ -2,8 +2,8 @@ group: Attention
depends_on:
- image-build
steps:
- label: V1 attention (H100-MI300)
key: v1-attention-h100-mi300
- label: V1 attention (H100)
key: v1-attention-h100
timeout_in_minutes: 30
device: h100
source_file_dependencies:
@@ -13,20 +13,6 @@ steps:
- tests/v1/attention
commands:
- pytest -v -s v1/attention
mirror:
amd:
device: mi325_1
timeout_in_minutes: 70
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/config/attention.py
- vllm/model_executor/layers/attention
- vllm/v1/attention
- tests/v1/attention
- vllm/_aiter_ops.py
- vllm/envs.py
- vllm/platforms/rocm.py
- label: V1 attention (B200)
key: v1-attention-b200
+2 -8
View File
@@ -10,15 +10,9 @@ steps:
- vllm/
- tests/basic_correctness/test_basic_correctness
- tests/basic_correctness/test_cpu_offload
- tests/basic_correctness/test_mem.py
- tests/basic_correctness/test_cumem.py
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s basic_correctness/test_mem.py
- pytest -v -s basic_correctness/test_cumem.py
- pytest -v -s basic_correctness/test_basic_correctness.py
- pytest -v -s basic_correctness/test_cpu_offload.py
mirror:
amd:
device: mi325_1
timeout_in_minutes: 50
depends_on:
- image-build-amd
+1 -6
View File
@@ -11,11 +11,6 @@ steps:
- tests/benchmarks/
commands:
- pytest -v -s benchmarks/
mirror:
amd:
device: mi300_1
depends_on:
- image-build-amd
- label: Attention Benchmarks Smoke Test (B200)
key: attention-benchmarks-smoke-test-b200
@@ -28,4 +23,4 @@ steps:
- benchmarks/attention_benchmarks/
- vllm/v1/attention/
commands:
- python3 benchmarks/attention_benchmarks/benchmark.py --backends flash flashinfer --batch-specs "8q1s1k"
- python3 benchmarks/attention_benchmarks/benchmark.py --backends flash flashinfer --batch-specs "8q1s1k" --repeats 1 --warmup-iters 1
+2 -2
View File
@@ -2,8 +2,8 @@ group: CUDA
depends_on:
- image-build
steps:
- label: Platform Tests
key: platform-tests
- label: Platform Tests (CUDA)
key: platform-tests-cuda
timeout_in_minutes: 15
device: h200_18gb
source_file_dependencies:
-94
View File
@@ -13,20 +13,6 @@ steps:
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
device: mi300_4
timeout_in_minutes: 110
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- tests/v1/kv_connector/nixl_integration/
- vllm/platforms/rocm.py
commands:
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
- ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
- label: Distributed FlashInfer NixlConnector PD accuracy (4 GPUs)
key: distributed-flashinfer-nixlconnector-pd-accuracy-4-gpus
timeout_in_minutes: 30
@@ -39,19 +25,6 @@ steps:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- FLASHINFER=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
- label: Push NixlConnector PP prefill PD accuracy (4 GPUs)
key: push-nixlconnector-pp-prefill-pd-accuracy-4-gpus
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- tests/v1/kv_connector/nixl_integration/
- tests/v1/kv_connector/nixl_push_integration/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_push_integration/config_sweep_accuracy_test.sh
- label: DP EP Distributed NixlConnector PD accuracy tests (4 GPUs)
key: dp-ep-distributed-nixlconnector-pd-accuracy-tests-4-gpus
timeout_in_minutes: 30
@@ -63,19 +36,6 @@ steps:
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- DP_EP=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
device: mi300_4
timeout_in_minutes: 50
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- tests/v1/kv_connector/nixl_integration/
- vllm/platforms/rocm.py
commands:
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
- DP_EP=1 ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
- label: CrossLayer KV layout Distributed NixlConnector PD accuracy tests (4 GPUs)
key: crosslayer-kv-layout-distributed-nixlconnector-pd-accuracy-tests-4-gpus
@@ -88,19 +48,6 @@ steps:
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- CROSS_LAYERS_BLOCKS=True bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
device: mi300_4
timeout_in_minutes: 110
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- tests/v1/kv_connector/nixl_integration/
- vllm/platforms/rocm.py
commands:
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
- CROSS_LAYERS_BLOCKS=True ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
- label: Hybrid SSM NixlConnector PD accuracy tests (4 GPUs)
key: hybrid-ssm-nixlconnector-pd-accuracy-tests-4-gpus
@@ -113,33 +60,6 @@ steps:
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- HYBRID_SSM=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
device: mi300_4
timeout_in_minutes: 60
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- tests/v1/kv_connector/nixl_integration/
- vllm/platforms/rocm.py
commands:
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
- HYBRID_SSM=1 ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
- label: Hybrid SSM NixlConnector PD prefix cache test (2 GPUs)
key: hybrid-ssm-nixlconnector-pd-prefix-cache-2-gpus
timeout_in_minutes: 25
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/v1/core/sched/
- vllm/v1/core/kv_cache_coordinator.py
- tests/v1/kv_connector/nixl_integration/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_integration/run_mamba_prefix_cache_test.sh
- label: MultiConnector (Nixl+Offloading) PD accuracy (2 GPUs)
key: multiconnector-nixl-offloading-pd-accuracy-2-gpus
@@ -169,20 +89,6 @@ steps:
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_integration/config_sweep_spec_decode_test.sh
mirror:
amd:
device: mi300_2
timeout_in_minutes: 60
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/v1/worker/kv_connector_model_runner_mixin.py
- tests/v1/kv_connector/nixl_integration/
- vllm/platforms/rocm.py
commands:
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
- ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_spec_decode_test.sh
- label: MultiConnector (Nixl+Offloading) PD edge cases (2 GPUs)
key: multiconnector-nixl-offloading-pd-edge-cases-2-gpus
+9 -24
View File
@@ -37,21 +37,6 @@ steps:
- TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_eagle_dp.py
- TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_external_lb_dp.py
- DP_SIZE=2 pytest -v -s entrypoints/openai/test_multi_api_servers.py
mirror:
amd:
device: mi300_2
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/distributed/
- vllm/engine/
- vllm/executor/
- vllm/worker/worker_base.py
- vllm/v1/engine/
- vllm/v1/worker/
- tests/v1/distributed
- tests/entrypoints/openai/test_multi_api_servers.py
- vllm/platforms/rocm.py
- label: Distributed Compile + RPC Tests (2 GPUs)
key: distributed-compile-rpc-tests-2-gpus
@@ -174,8 +159,8 @@ steps:
# test multi-node TP with multiproc executor (simulated on single node)
- pytest -v -s distributed/test_multiproc_executor.py::test_multiproc_executor_multi_node
- label: Distributed Tests (8xH100)
key: distributed-tests-8xh100
- label: Distributed Tests (8 GPUs)(H100)
key: distributed-tests-8-gpus-h100
timeout_in_minutes: 10
device: h100
num_devices: 8
@@ -195,8 +180,8 @@ steps:
# test with torchrun tp=2 and dp=4 with ep
- torchrun --nproc-per-node=8 ../examples/features/torchrun/torchrun_dp_example_offline.py --tp-size=2 --pp-size=1 --dp-size=4 --enable-ep
- label: Distributed Tests (4xA100)
key: distributed-tests-4xa100
- label: Distributed Tests (4 GPUs)(A100)
key: distributed-tests-4-gpus-a100
device: a100
optional: true
num_devices: 4
@@ -210,8 +195,8 @@ steps:
- TARGET_TEST_SUITE=A100 pytest basic_correctness/ -v -s -m 'distributed(num_gpus=2)'
- pytest -v -s -x lora/test_mixtral.py
- label: Distributed Tests (2xH100-2xMI300)
key: distributed-tests-2xh100-2xmi300
- label: Distributed Tests (2 GPUs)(H100)
key: distributed-tests-2-gpus-h100
timeout_in_minutes: 15
device: h100
optional: true
@@ -225,15 +210,15 @@ steps:
- VLLM_ALLOW_INSECURE_SERIALIZATION=1 pytest -v -s tests/distributed/test_weight_transfer.py
- pytest -v -s tests/distributed/test_packed_tensor.py
- label: Distributed Tests (2xB200)
key: distributed-tests-2xb200
- label: Distributed Tests (2 GPUs)(B200)
key: distributed-tests-2-gpus-b200
device: b200-k8s
optional: true
working_dir: "/vllm-workspace/"
num_devices: 2
commands:
- pytest -v -s tests/distributed/test_context_parallel.py
- pytest -v -s tests/distributed/test_nccl_symm_mem.py
- pytest -v -s tests/distributed/test_nccl_symm_mem_allreduce.py
- pytest -v -s tests/v1/distributed/test_dbo.py
- pytest -v -s tests/distributed/test_mnnvl_alltoall.py
+6 -6
View File
@@ -2,8 +2,8 @@ group: E2E Integration
depends_on:
- image-build
steps:
- label: DeepSeek V2-Lite Sync EPLB Accuracy (4xH100)
key: deepseek-v2-lite-sync-eplb-accuracy-4xh100
- label: DeepSeek V2-Lite Sync EPLB Accuracy
key: deepseek-v2-lite-sync-eplb-accuracy
timeout_in_minutes: 60
device: h100
optional: true
@@ -12,8 +12,8 @@ steps:
commands:
- bash .buildkite/scripts/scheduled_integration_test/deepseek_v2_lite_ep_eplb.sh 0.25 200 8010
- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (4xH100)
key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-4xh100
- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy
key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy
timeout_in_minutes: 60
device: h100
optional: true
@@ -22,8 +22,8 @@ steps:
commands:
- bash .buildkite/scripts/scheduled_integration_test/qwen30b_a3b_fp8_block_ep_eplb.sh 0.8 200 8020
- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (2xB200)
key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-2xb200
- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (B200)
key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-b200
timeout_in_minutes: 60
device: b200-k8s
optional: true
+1 -22
View File
@@ -26,12 +26,6 @@ steps:
- tests/test_jit_monitor.py
commands:
- pytest -v -s engine test_sequence.py test_config.py test_logger.py test_vllm_port.py test_jit_monitor.py
mirror:
amd:
device: mi325_1
timeout_in_minutes: 60
depends_on:
- image-build-amd
- label: Engine (1 GPU)
key: engine-1-gpu
@@ -60,7 +54,7 @@ steps:
- pytest -v -s v1/e2e/general/test_async_scheduling.py
mirror:
amd:
device: mi325_1
device: mi250_1
timeout_in_minutes: 60
depends_on:
- image-build-amd
@@ -74,16 +68,6 @@ steps:
- tests/v1/e2e/general/
commands:
- pytest -v -s v1/e2e/general --ignore v1/e2e/general/test_async_scheduling.py
mirror:
amd:
device: mi325_1
timeout_in_minutes: 35
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/v1/
- tests/v1/e2e/general/
- vllm/platforms/rocm.py
- label: V1 e2e (2 GPUs)
key: v1-e2e-2-gpus
@@ -112,11 +96,6 @@ steps:
commands:
# Only run tests that need exactly 2 GPUs
- pytest -v -s v1/e2e/spec_decode/test_spec_decode.py -k "tensor_parallelism"
mirror:
amd:
device: mi300_2
depends_on:
- image-build-amd
- label: V1 e2e (4 GPUs)
key: v1-e2e-4-gpus
+58 -86
View File
@@ -8,11 +8,10 @@ steps:
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/entrypoints
- tests/entrypoints/unit_tests
- tests/entrypoints/weight_transfer
- tests/entrypoints/
commands:
- pytest -v -s entrypoints/unit_tests
- pytest -v -s entrypoints/weight_transfer
- pytest -v -s entrypoints/openai/tool_parsers
- pytest -v -s entrypoints/ --ignore=entrypoints/llm --ignore=entrypoints/offline_mode --ignore=entrypoints/openai --ignore=entrypoints/serve --ignore=entrypoints/test_chat_utils.py --ignore=entrypoints/pooling --ignore=entrypoints/speech_to_text --ignore=tests/entrypoints/generate
- label: Entrypoints Integration (LLM)
key: entrypoints-integration-llm
@@ -21,40 +20,20 @@ steps:
source_file_dependencies:
- vllm/
- tests/entrypoints/llm
- tests/entrypoints/offline_mode
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/llm --ignore=entrypoints/llm/test_generate.py --ignore=entrypoints/llm/test_collective_rpc.py --ignore=entrypoints/llm/offline_mode
- pytest -v -s entrypoints/llm --ignore=entrypoints/llm/test_generate.py --ignore=entrypoints/llm/test_collective_rpc.py
- pytest -v -s entrypoints/llm/test_generate.py # it needs a clean process
- pytest -v -s entrypoints/llm/offline_mode # Needs to avoid interference with other tests
- pytest -v -s entrypoints/offline_mode # Needs to avoid interference with other tests
mirror:
amd:
device: mi325_1
# TODO(akaratza): Test after Torch >= 2.12 bump
soft_fail: true
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server)
key: entrypoints-integration-api-server
device: h200_35gb
timeout_in_minutes: 130
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/serve
- tests/entrypoints/scale_out
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/serve --ignore=entrypoints/serve/dev/rpc
- PYTHONPATH=/vllm-workspace pytest -v -s entrypoints/serve/dev/rpc
- pytest -v -s entrypoints/scale_out
mirror:
amd:
device: mi325_1
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server OpenAI - Part 1)
- label: Entrypoints Integration (API Server openai - Part 1)
key: entrypoints-integration-api-server-openai-part-1
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
@@ -64,15 +43,16 @@ steps:
- tests/entrypoints/test_chat_utils
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/openai --ignore=entrypoints/openai/completion --ignore=entrypoints/openai/chat_completion --ignore=entrypoints/openai/responses --ignore=entrypoints/openai/correctness
- pytest -v -s entrypoints/openai/chat_completion --ignore=entrypoints/openai/chat_completion/test_oot_registration.py
mirror:
amd:
device: mi325_1
soft_fail: true
timeout_in_minutes: 80
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server OpenAI - Part 2)
- label: Entrypoints Integration (API Server openai - Part 2)
key: entrypoints-integration-api-server-openai-part-2
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
@@ -80,48 +60,59 @@ steps:
- vllm/
- tests/entrypoints/openai
- tests/entrypoints/test_chat_utils
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/openai/chat_completion
- pytest -v -s entrypoints/openai/completion --ignore=entrypoints/openai/completion/test_tensorizer_entrypoint.py
mirror:
amd:
device: mi325_1
timeout_in_minutes: 80
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server Generate)
key: entrypoints-integration-api-server-generate
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/tool_use
- tests/entrypoints/tool_parsers
- tests/entrypoints/anthropic
- tests/entrypoints/generate
- tests/tool_use
commands:
- pytest -v -s tool_use
- pytest -v -s entrypoints/tool_parsers
- pytest -v -s entrypoints/openai/completion --ignore=entrypoints/openai/completion/test_tensorizer_entrypoint.py
- pytest -v -s entrypoints/test_chat_utils.py
- pytest -v -s entrypoints/generate
- pytest -v -s entrypoints/anthropic
- pytest -v -s tool_use
mirror:
amd:
device: mi325_1
soft_fail: true
timeout_in_minutes: 60
depends_on:
- image-build-amd
- label: Entrypoints Integration (Responses API)
key: entrypoints-integration-responses-api
- label: Entrypoints Integration (API Server openai - Part 3)
key: entrypoints-integration-api-server-openai-part-3
timeout_in_minutes: 50
device: h200_18gb
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/openai/responses
- tests/entrypoints/openai
- tests/entrypoints/test_chat_utils
commands:
- pytest -v -s entrypoints/openai/responses
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/openai --ignore=entrypoints/openai/chat_completion --ignore=entrypoints/openai/completion --ignore=entrypoints/openai/correctness/ --ignore=entrypoints/openai/tool_parsers/ --ignore=entrypoints/openai/responses --ignore=entrypoints/openai/test_multi_api_servers.py
mirror:
amd:
device: mi325_1
soft_fail: true
timeout_in_minutes: 60
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server 2)
device: h200_35gb
key: entrypoints-integration-api-server-2
timeout_in_minutes: 130
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/serve
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/serve --ignore=entrypoints/serve/dev/rpc
- PYTHONPATH=/vllm-workspace pytest -v -s entrypoints/serve/dev/rpc
mirror:
amd:
device: mi325_1
soft_fail: true
depends_on:
- image-build-amd
- label: Entrypoints Integration (Speech to Text)
device: h200_35gb
@@ -135,18 +126,6 @@ steps:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/speech_to_text
- label: Entrypoints Integration (Multimodal)
device: h200_35gb
key: entrypoints-integration-multimodal
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/multimodal
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/multimodal
- label: Entrypoints Integration (Pooling)
key: entrypoints-integration-pooling
timeout_in_minutes: 50
@@ -158,6 +137,16 @@ steps:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/pooling
- label: Entrypoints Integration (Responses API)
key: entrypoints-integration-responses-api
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/openai/responses
commands:
- pytest -v -s entrypoints/openai/responses
- label: OpenAI API Correctness
key: openai-api-correctness
timeout_in_minutes: 30
@@ -167,20 +156,3 @@ steps:
- vllm/entrypoints/openai/
commands: # LMEval
- pytest -s entrypoints/openai/correctness/
mirror:
amd:
device: mi325_1
depends_on:
- image-build-amd
source_file_dependencies:
- csrc/
- vllm/entrypoints/openai/
- vllm/model_executor/layers/
- vllm/v1/attention/backends/
- vllm/v1/attention/selector.py
- vllm/_aiter_ops.py
- vllm/platforms/rocm.py
- vllm/model_executor/model_loader/
commands:
- bash ../tools/install_torchcodec_rocm.sh || exit 1
- pytest -s entrypoints/openai/correctness/
@@ -14,16 +14,6 @@ steps:
commands:
- pytest -v -s distributed/test_eplb_algo.py
- pytest -v -s distributed/test_eplb_utils.py
mirror:
amd:
device: mi300_1
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/distributed/eplb
- tests/distributed/test_eplb_algo.py
- tests/distributed/test_eplb_utils.py
- vllm/platforms/rocm.py
- label: EPLB Execution # 17min
key: eplb-execution
+6 -54
View File
@@ -21,9 +21,8 @@ steps:
- csrc/
- tests/kernels/core
- tests/kernels/test_concat_mla_q.py
- tests/kernels/test_fused_qk_norm_rope_gate.py
commands:
- pytest -v -s kernels/core --ignore=kernels/core/test_minimax_reduce_rms.py kernels/test_concat_mla_q.py kernels/test_fused_qk_norm_rope_gate.py
- pytest -v -s kernels/core --ignore=kernels/core/test_minimax_reduce_rms.py kernels/test_concat_mla_q.py
- label: Kernels MiniMax Reduce RMS Test (2 GPUs)
key: kernels-minimax-reduce-rms-test-2-gpus
@@ -47,10 +46,8 @@ steps:
- csrc/fused_deepseek_v4_qnorm_rope_kv_insert_kernel.cu
- vllm/models/deepseek_v4/common/ops/
- tests/kernels/test_fused_deepseek_v4_qnorm_rope_kv_insert.py
- tests/kernels/test_top_k_per_row.py # it runs on Blackwell too - some kernels have arch-specific optimizations
commands:
- pytest -v -s kernels/test_fused_deepseek_v4_*.py
- pytest -v -s kernels/test_top_k_per_row.py
- label: Deepseek V4 Kernel Test (B200)
key: deepseek-v4-kernel-test-b200
@@ -76,33 +73,6 @@ steps:
commands:
- pytest -v -s kernels/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
parallelism: 2
mirror:
amd:
device: mi325_1
timeout_in_minutes: 55
depends_on:
- image-build-amd
source_file_dependencies:
- csrc/attention/
- vllm/v1/attention
- vllm/model_executor/layers/attention
- tests/kernels/attention
- vllm/_aiter_ops.py
- vllm/envs.py
- vllm/platforms/rocm.py
- label: Kernels Attention DiffKV Test (H100)
key: kernels-attention-diffkv-test-h100
timeout_in_minutes: 20
device: h100
num_devices: 1
source_file_dependencies:
- vllm/v1/attention/ops/triton_unified_attention_diffkv.py
- vllm/v1/attention/backends/triton_attn_diffkv.py
- vllm/v1/attention/backends/flash_attn_diffkv.py
- tests/kernels/attention/test_triton_unified_attention_diffkv.py
commands:
- pytest -v -s kernels/attention/test_triton_unified_attention_diffkv.py
- label: Kernels Quantization Test %N
key: kernels-quantization-test
@@ -120,7 +90,6 @@ steps:
source_file_dependencies:
- csrc/quantization/
- vllm/model_executor/layers/quantization
- vllm/config/
- tests/kernels/quantization
- tests/kernels/quantization/test_rocm_skinny_gemms.py
- vllm/_aiter_ops.py
@@ -144,22 +113,6 @@ steps:
- pytest -v -s kernels/moe --ignore=kernels/moe/test_modular_oai_triton_moe.py --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
- pytest -v -s kernels/moe/test_modular_oai_triton_moe.py --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
parallelism: 5
mirror:
amd:
device: mi325_1
timeout_in_minutes: 50
source_file_dependencies:
- csrc/quantization/cutlass_w8a8/moe/
- csrc/moe/
- tests/kernels/moe
- vllm/model_executor/layers/fused_moe/
- vllm/distributed/device_communicators/
- vllm/envs.py
- vllm/config
- vllm/_aiter_ops.py
- vllm/platforms/rocm.py
depends_on:
- image-build-amd
- label: Kernels Mamba Test
key: kernels-mamba-test
@@ -270,12 +223,12 @@ steps:
- vllm/utils/import_utils.py
- tests/kernels/helion/
commands:
- pip install helion==1.1.0
- pip install helion==1.0.0
- pytest -v -s kernels/helion/
- label: Kernels FP8 MoE Test (1xH100)
key: kernels-fp8-moe-test-1xh100
- label: Kernels FP8 MoE Test (1 H100)
key: kernels-fp8-moe-test-1-h100
timeout_in_minutes: 90
device: h100
num_devices: 1
@@ -291,8 +244,8 @@ steps:
- pytest -v -s kernels/moe/test_triton_moe_no_act_mul.py
- pytest -v -s kernels/moe/test_triton_moe_ptpc_fp8.py
- label: Kernels FP8 MoE Test (2xH100)
key: kernels-fp8-moe-test-2xh100
- label: Kernels FP8 MoE Test (2 H100s)
key: kernels-fp8-moe-test-2-h100s
timeout_in_minutes: 90
device: h100
num_devices: 2
@@ -346,4 +299,3 @@ steps:
- vllm/config
commands:
- pytest -v -s kernels/moe/test_moe_layer.py
- pytest -v -s kernels/moe/test_deepep_v2_moe.py
+15 -202
View File
@@ -12,24 +12,8 @@ steps:
autorun_on_main: true
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-small.txt
mirror:
amd:
device: mi325_1
timeout_in_minutes: 55
depends_on:
- image-build-amd
source_file_dependencies:
- csrc/
- vllm/model_executor/layers/quantization
- vllm/model_executor/models/
- vllm/model_executor/model_loader/
- vllm/v1/attention/backends/
- vllm/v1/attention/selector.py
- vllm/_aiter_ops.py
- vllm/platforms/rocm.py
# - label: LM Eval Large Models (4xA100)
# key: lm-eval-large-models-4xa100
# - label: LM Eval Large Models (4 GPUs)(A100)
# device: a100
# optional: true
# num_devices: 4
@@ -41,8 +25,8 @@ steps:
# - export VLLM_WORKER_MULTIPROC_METHOD=spawn
# - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-large.txt --tp-size=4
- label: LM Eval Large Models (4xH100)
key: lm-eval-large-models-4xh100
- label: LM Eval Large Models (4 GPUs)(H100)
key: lm-eval-large-models-4-gpus-h100
device: h100
optional: true
num_devices: 4
@@ -54,8 +38,8 @@ steps:
- export VLLM_USE_DEEP_GEMM=0 # We found Triton is faster than DeepGEMM for H100
- pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-large-hopper.txt --tp-size=4
- label: LM Eval Small Models (1xB200)
key: lm-eval-small-models-1xb200
- label: LM Eval Small Models (B200)
key: lm-eval-small-models-b200
timeout_in_minutes: 120
device: b200-k8s
optional: true
@@ -65,21 +49,8 @@ steps:
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-blackwell.txt
- label: LM Eval Small Models Distributed (2xB200)
key: lm-eval-small-models-distributed-2xb200
timeout_in_minutes: 120
device: b200-k8s
num_devices: 2
optional: true
source_file_dependencies:
- csrc/
- vllm/model_executor/layers/quantization
autorun_on_main: true
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-small-tp.txt
- label: LM Eval Large Models EP (2xB200)
key: lm-eval-large-models-ep-2xb200
- label: LM Eval Large Models (B200, EP)
key: lm-eval-large-models-b200-ep
timeout_in_minutes: 120
device: b200-k8s
optional: true
@@ -90,8 +61,8 @@ steps:
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-blackwell-ep.txt
- label: LM Eval Qwen3.5 Models (2xB200)
key: lm-eval-qwen3-5-models-2xb200
- label: LM Eval Qwen3.5 Models (B200)
key: lm-eval-qwen3-5-models-b200
timeout_in_minutes: 120
device: b200-k8s
optional: true
@@ -107,24 +78,14 @@ steps:
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-qwen35-blackwell.txt
- label: LM Eval Large Models (8xH200)
key: lm-eval-large-models-8xh200
- label: LM Eval Large Models (H200)
key: lm-eval-large-models-h200
timeout_in_minutes: 60
device: h200
optional: true
num_devices: 8
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-h200.txt
mirror:
amd:
device: mi300_8
timeout_in_minutes: 180
depends_on:
- image-build-amd
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- export PYTORCH_ROCM_ARCH=gfx942 # Limit Quark compilation to save time
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-mi3xx.txt
- label: MoE Refactor Integration Test (H100 - TEMPORARY)
key: moe-refactor-integration-test-h100-temporary
@@ -150,97 +111,6 @@ steps:
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/moe-refactor-dp-ep/config-b200.txt
- label: LM Eval Humming f16 (A100 - TEMPORARY)
key: lm-eval-humming-f16-a100
timeout_in_minutes: 120
device: a100
optional: true
num_devices: 1
source_file_dependencies:
- vllm/model_executor/layers/quantization/humming.py
- vllm/model_executor/layers/quantization/utils/humming_utils.py
- vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
- vllm/model_executor/layers/fused_moe/oracle/
- vllm/model_executor/kernels/linear/
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
- label: LM Eval Humming Act int8 (A100 - TEMPORARY)
key: lm-eval-humming-act-a100
timeout_in_minutes: 120
device: a100
optional: true
num_devices: 1
source_file_dependencies:
- vllm/model_executor/layers/quantization/humming.py
- vllm/model_executor/layers/quantization/utils/humming_utils.py
- vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
- vllm/model_executor/layers/fused_moe/oracle/
- vllm/model_executor/kernels/linear/
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-int8.txt
- label: LM Eval Humming f16 (H100 - TEMPORARY)
key: lm-eval-humming-f16-h100
timeout_in_minutes: 120
device: h100
optional: true
num_devices: 1
source_file_dependencies:
- vllm/model_executor/layers/quantization/humming.py
- vllm/model_executor/layers/quantization/utils/humming_utils.py
- vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
- vllm/model_executor/layers/fused_moe/oracle/
- vllm/model_executor/kernels/linear/
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
- label: LM Eval Humming Act fp8/int8 (H100 - TEMPORARY)
key: lm-eval-humming-act-h100
timeout_in_minutes: 120
device: h100
optional: true
num_devices: 1
source_file_dependencies:
- vllm/model_executor/layers/quantization/humming.py
- vllm/model_executor/layers/quantization/utils/humming_utils.py
- vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
- vllm/model_executor/layers/fused_moe/oracle/
- vllm/model_executor/kernels/linear/
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-fp8.txt
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-int8.txt
- label: LM Eval Humming f16 (B200 - TEMPORARY)
key: lm-eval-humming-f16-b200
timeout_in_minutes: 120
device: b200-k8s
optional: true
num_devices: 1
source_file_dependencies:
- vllm/model_executor/layers/quantization/humming.py
- vllm/model_executor/layers/quantization/utils/humming_utils.py
- vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
- vllm/model_executor/layers/fused_moe/oracle/
- vllm/model_executor/kernels/linear/
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
- label: LM Eval Humming Act fp8/int8 (B200 - TEMPORARY)
key: lm-eval-humming-act-b200
timeout_in_minutes: 120
device: b200-k8s
optional: true
num_devices: 1
source_file_dependencies:
- vllm/model_executor/layers/quantization/humming.py
- vllm/model_executor/layers/quantization/utils/humming_utils.py
- vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
- vllm/model_executor/layers/fused_moe/oracle/
- vllm/model_executor/kernels/linear/
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-fp8.txt
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-int8.txt
- label: LM Eval TurboQuant KV Cache
key: lm-eval-turboquant-kv-cache
@@ -254,8 +124,8 @@ steps:
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/models-turboquant.txt
- label: GPQA Eval (GPT-OSS) (2xH100)
key: gpqa-eval-gpt-oss-2xh100
- label: GPQA Eval (GPT-OSS) (H100)
key: gpqa-eval-gpt-oss-h100
timeout_in_minutes: 120
device: h100
optional: true
@@ -268,8 +138,8 @@ steps:
- uv pip install --system 'gpt-oss[eval]==0.0.5'
- pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-h100.txt
- label: GPQA Eval (GPT-OSS) (2xB200)
key: gpqa-eval-gpt-oss-2xb200
- label: GPQA Eval (GPT-OSS) (B200)
key: gpqa-eval-gpt-oss-b200
timeout_in_minutes: 120
device: b200-k8s
optional: true
@@ -282,63 +152,6 @@ steps:
- uv pip install --system 'gpt-oss[eval]==0.0.5'
- pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-b200.txt
- label: GPQA Eval (GPT-OSS) (DGX Spark)
key: gpqa-eval-gpt-oss-spark
timeout_in_minutes: 120
device: dgx-spark
optional: true
num_devices: 1
depends_on:
- arm64-image-build
source_file_dependencies:
- csrc/
- vllm/model_executor/layers/quantization
- tests/evals/gpt_oss/
commands:
- uv pip install --system 'gpt-oss[eval]==0.0.5'
- pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-spark.txt
- label: LM Eval KV-Offload (1xH200)
key: kv-offload-small
timeout_in_minutes: 30
device: h200_35gb
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/offloading/
- vllm/distributed/kv_transfer/kv_connector/v1/simple_cpu_offload_connector.py
- vllm/v1/kv_offload/
- vllm/v1/simple_kv_offload/
- tests/evals/gsm8k/test_gsm8k_offloading.py
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_offloading.py -k "nemotron-h-8b or gemma-4-e4b-it"
- label: LM Eval KV-Offload (2xH100)
key: kv-offload-medium
timeout_in_minutes: 60
device: h100
num_devices: 2
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/offloading/
- vllm/distributed/kv_transfer/kv_connector/v1/simple_cpu_offload_connector.py
- vllm/v1/kv_offload/
- vllm/v1/simple_kv_offload/
- tests/evals/gsm8k/test_gsm8k_offloading.py
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_offloading.py -k "qwen3.5-35b"
- label: LM Eval KV-Offload (4xH100)
key: kv-offload-large
timeout_in_minutes: 60
device: h100
num_devices: 4
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/offloading/
- vllm/distributed/kv_transfer/kv_connector/v1/simple_cpu_offload_connector.py
- vllm/v1/kv_offload/
- vllm/v1/simple_kv_offload/
- tests/evals/gsm8k/test_gsm8k_offloading.py
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_offloading.py -k "deepseek-v4-flash"
- label: MRCR Eval Small Models
device: h200_35gb
timeout_in_minutes: 30
-11
View File
@@ -12,17 +12,6 @@ steps:
commands:
- pytest -v -s lora --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --ignore=lora/test_chatglm3_tp.py --ignore=lora/test_llama_tp.py --ignore=lora/test_qwen3_with_multi_loras.py --ignore=lora/test_olmoe_tp.py --ignore=lora/test_deepseekv2_tp.py --ignore=lora/test_gptoss_tp.py --ignore=lora/test_qwen3moe_tp.py --ignore=lora/test_qwen35_densemodel_lora.py
parallelism: 4
mirror:
amd:
device: mi325_1
working_dir: "/vllm-workspace/tests"
timeout_in_minutes: 60
source_file_dependencies:
- vllm/lora
- tests/lora
- vllm/platforms/rocm.py
depends_on:
- image-build-amd
- label: LoRA TP (Distributed)
+5 -63
View File
@@ -21,12 +21,6 @@ steps:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
# TODO: create another `optional` test group for slow tests
- pytest -v -s -m 'not slow_test' v1/spec_decode
mirror:
amd:
device: mi300_1
timeout_in_minutes: 65
depends_on:
- image-build-amd
- label: V1 Sample + Logits
key: v1-sample-logits
@@ -103,14 +97,8 @@ steps:
- pytest -v -s -m 'not cpu_test' v1/kv_connector/unit
- pytest -v -s -m 'not cpu_test' v1/metrics
# Integration test for streaming correctness (requires special branch).
- pip install -U git+https://github.com/vllm-project/lm-evaluation-harness.git@streaming-api
- pip install -U git+https://github.com/robertgshaw2-redhat/lm-evaluation-harness.git@streaming-api
- pytest -v -s entrypoints/openai/correctness/test_lmeval.py::test_lm_eval_accuracy_v1_engine
mirror:
amd:
device: mi325_1
timeout_in_minutes: 60
depends_on:
- image-build-amd
- label: V1 Others (CPU)
key: v1-others-cpu
@@ -150,26 +138,11 @@ steps:
- vllm/v1/spec_decode/extract_hidden_states.py
- vllm/model_executor/models/extract_hidden_states.py
- vllm/transformers_utils/configs/extract_hidden_states.py
- vllm/distributed/kv_transfer/kv_connector/v1/example_hidden_states_connector.py
- tests/v1/kv_connector/extract_hidden_states_integration
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s v1/kv_connector/extract_hidden_states_integration
- label: Extract Hidden States Integration (2 GPUs)
key: extract-hidden-states-integration-2-gpus
timeout_in_minutes: 20
num_devices: 2
source_file_dependencies:
- vllm/v1/spec_decode/extract_hidden_states.py
- vllm/model_executor/models/extract_hidden_states.py
- vllm/transformers_utils/configs/extract_hidden_states.py
- vllm/distributed/kv_transfer/kv_connector/v1/example_hidden_states_connector.py
- tests/v1/kv_connector/extract_hidden_states_integration
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s -m 'distributed' v1/kv_connector/extract_hidden_states_integration
- label: Regression
key: regression
timeout_in_minutes: 20
@@ -188,7 +161,7 @@ steps:
- vllm/v1/
- tests/test_regression
commands:
- pip install 'modelscope<1.38'
- pip install modelscope
- pytest -v -s test_regression.py
working_dir: "/vllm-workspace/tests" # optional
@@ -224,16 +197,6 @@ steps:
- python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 2048
# https://github.com/vllm-project/vllm/pull/26682 uses slightly more memory in PyTorch 2.9+ causing this test to OOM in 1xL4 GPU
- python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle3 --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 1536
mirror:
amd:
device: mi325_1
source_file_dependencies:
- vllm/entrypoints
- vllm/multimodal
- examples/
- vllm/platforms/rocm.py
depends_on:
- image-build-amd
- label: Metrics, Tracing (2 GPUs)
key: metrics-tracing-2-gpus
@@ -260,12 +223,6 @@ steps:
'opentelemetry-exporter-otlp>=1.26.0' \
'opentelemetry-semantic-conventions-ai>=0.4.1'"
- pytest -v -s v1/tracing
mirror:
amd:
device: mi325_2
depends_on:
- image-build-amd
optional: true
- label: Python-only Installation
key: python-only-installation
@@ -278,16 +235,6 @@ steps:
- setup.py
commands:
- bash standalone_tests/python_only_compile.sh
mirror:
amd:
device: mi325_1
timeout_in_minutes: 20
depends_on:
- image-build-amd
source_file_dependencies:
- tests/standalone_tests/python_only_compile.sh
- setup.py
- vllm/platforms/rocm.py
- label: Async Engine, Inputs, Utils, Worker
device: h200_35gb
@@ -334,7 +281,6 @@ steps:
- vllm/model_executor/layers/quantization/quark/
- vllm/multimodal/
- vllm/outputs.py
- vllm/parser/
- vllm/platforms/
- vllm/pooling_params.py
- vllm/ray/
@@ -346,35 +292,31 @@ steps:
- vllm/transformers_utils/
- vllm/utils/
- vllm/v1/
- tests/test_envs.py
- tests/test_inputs.py
- tests/test_outputs.py
- tests/test_pooling_params.py
- tests/test_ray_env.py
- tests/test_sampling_params.py
- tests/multimodal
- tests/renderers
- tests/standalone_tests/lazy_imports.py
- tests/tokenizers_
- tests/reasoning
- tests/tool_parsers
- tests/tokenizers_
- tests/parser
- tests/transformers_utils
- tests/config
device: cpu-small
commands:
- python3 standalone_tests/lazy_imports.py
- pytest -v -s test_envs.py
- pytest -v -s test_inputs.py
- pytest -v -s test_outputs.py
- pytest -v -s test_pooling_params.py
- pytest -v -s test_ray_env.py
- pytest -v -s test_sampling_params.py
- pytest -v -s -m 'cpu_test' multimodal
- pytest -v -s renderers
- pytest -v -s reasoning
- pytest -v -s tool_parsers
- pytest -v -s tokenizers_
- pytest -v -s reasoning --ignore=reasoning/test_seedoss_reasoning_parser.py --ignore=reasoning/test_glm4_moe_reasoning_parser.py
- pytest -v -s tool_parsers
- pytest -v -s parser
- pytest -v -s transformers_utils
- pytest -v -s config
-13
View File
@@ -23,16 +23,3 @@ steps:
# calls that the signal method cannot interrupt.
- pytest -v -s model_executor -m '(not slow_test)' --timeout=900 --timeout-method=thread
- pytest -v -s entrypoints/openai/completion/test_tensorizer_entrypoint.py --timeout=900 --timeout-method=thread
mirror:
amd:
device: mi300_1
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/engine/arg_utils.py
- vllm/config/model.py
- vllm/model_executor
- tests/model_executor
- tests/entrypoints/openai/completion/test_tensorizer_entrypoint.py
- vllm/_aiter_ops.py
- vllm/platforms/rocm.py
+3 -3
View File
@@ -18,7 +18,9 @@ steps:
- set -x
- export VLLM_USE_V2_MODEL_RUNNER=1
- pytest -v -s v1/engine/test_llm_engine.py -k "not test_engine_metrics"
- pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram"
# This requires eager until we sort out CG correctness issues.
# TODO: remove ENFORCE_EAGER here after https://github.com/vllm-project/vllm/pull/32936 is merged.
- ENFORCE_EAGER=1 pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram"
- pytest -v -s v1/e2e/general/test_context_length.py
- pytest -v -s v1/e2e/general/test_min_tokens.py
# Temporary hack filter to exclude ngram spec decoding based tests.
@@ -92,13 +94,11 @@ steps:
- vllm/v1/worker/gpu_worker.py
- tests/distributed/test_pipeline_parallel.py
- tests/distributed/test_pp_cudagraph.py
- tests/v1/distributed/test_pp_dp_v2.py
commands:
- set -x
- export VLLM_USE_V2_MODEL_RUNNER=1
- pytest -v -s distributed/test_pipeline_parallel.py -k "not ray and not Jamba"
- pytest -v -s distributed/test_pp_cudagraph.py -k "not ray"
- pytest -v -s v1/distributed/test_pp_dp_v2.py
- label: Model Runner V2 Spec Decode
device: h200_35gb
+8 -9
View File
@@ -6,6 +6,7 @@ steps:
key: basic-models-tests-initialization
timeout_in_minutes: 45
device: h200_18gb
torch_nightly: true
source_file_dependencies:
- vllm/
- tests/models/test_initialization.py
@@ -13,6 +14,8 @@ steps:
commands:
# Run a subset of model initialization tests
- pytest -v -s models/test_initialization.py::test_can_initialize_small_subset
mirror:
torch_nightly: {}
- label: Basic Models Tests (Extra Initialization) %N
device: h200_35gb
@@ -28,6 +31,8 @@ steps:
# test.) Also run if model initialization test file is modified
- pytest -v -s models/test_initialization.py -k 'not test_can_initialize_small_subset' --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
parallelism: 2
mirror:
torch_nightly: {}
- label: Basic Models Tests (Other)
device: h200_35gb
@@ -36,15 +41,10 @@ steps:
source_file_dependencies:
- vllm/
- tests/models/test_terratorch.py
- tests/models/transformers/test_backend.py
- tests/models/test_transformers.py
- tests/models/test_registry.py
commands:
- pytest -v -s models/test_terratorch.py models/transformers/test_backend.py models/test_registry.py
mirror:
amd:
device: mi325_1
depends_on:
- image-build-amd
- pytest -v -s models/test_terratorch.py models/test_transformers.py models/test_registry.py
- label: Basic Models Test (Other CPU) # 5min
key: basic-models-test-other-cpu
@@ -55,7 +55,6 @@ steps:
- vllm/
- tests/models/test_utils.py
- tests/models/test_vision.py
- tests/models/transformers/fusers/
device: cpu-small
commands:
- pytest -v -s models/test_utils.py models/test_vision.py models/transformers/fusers/
- pytest -v -s models/test_utils.py models/test_vision.py
@@ -17,7 +17,7 @@ steps:
- TARGET_TEST_SUITE=L4 pytest basic_correctness/ -v -s -m 'distributed(num_gpus=2)'
- CUDA_VISIBLE_DEVICES=0,1 pytest -v -s model_executor/model_loader/test_sharded_state_loader.py -m '(not slow_test)'
# Avoid importing model tests that cause CUDA reinitialization error
- pytest models/transformers/test_backend.py -v -s -m 'distributed(num_gpus=2)'
- pytest models/test_transformers.py -v -s -m 'distributed(num_gpus=2)'
- pytest models/language -v -s -m 'distributed(num_gpus=2)'
- pytest models/multimodal/generation/test_phi4siglip.py -v -s -m 'distributed(num_gpus=2)'
- pytest models/multimodal -v -s -m 'distributed(num_gpus=2)' --ignore models/multimodal/generation/test_whisper.py --ignore models/multimodal/generation/test_phi4siglip.py
+3 -20
View File
@@ -14,10 +14,7 @@ steps:
- pip freeze | grep -E 'torch'
- pytest -v -s models/language -m 'core_model and (not slow_test)'
mirror:
amd:
device: mi300_1
depends_on:
- image-build-amd
torch_nightly: {}
- label: Language Models Tests (Extra Standard) %N
key: language-models-tests-extra-standard
@@ -34,21 +31,7 @@ steps:
- pytest -v -s models/language -m 'core_model and slow_test' --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
parallelism: 2
mirror:
amd:
device: mi300_1
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/model_executor/models/
- vllm/model_executor/model_loader/
- vllm/model_executor/layers/
- vllm/v1/attention/backends/
- vllm/v1/attention/selector.py
- tests/models/language/pooling/test_embedding.py
- tests/models/language/generation/test_common.py
- tests/models/language/pooling/test_classification.py
- vllm/_aiter_ops.py
- vllm/platforms/rocm.py
torch_nightly: {}
- label: Language Models Tests (Hybrid) %N
key: language-models-tests-hybrid
@@ -65,9 +48,9 @@ steps:
- pytest -v -s models/language/generation -m hybrid_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
parallelism: 2
mirror:
torch_nightly: {}
amd:
device: mi325_1
timeout_in_minutes: 90
depends_on:
- image-build-amd
commands:
+11 -28
View File
@@ -10,6 +10,7 @@ steps:
- vllm/
- tests/models/multimodal
commands:
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "qwen2"
- pytest -v -s models/multimodal/generation/test_ultravox.py -m core_model
mirror:
@@ -26,9 +27,10 @@ steps:
- vllm/
- tests/models/multimodal
commands:
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "qwen3 or gemma"
- pytest -v -s models/multimodal/generation/test_mm_prefix_lm.py -m core_model
- pytest -v -s models/multimodal/generation/test_qwen2_5_vl.py -m core_model
- pytest -v -s models/multimodal/generation/test_vit_cudagraph.py -m core_model
mirror:
amd:
device: mi325_1
@@ -43,6 +45,7 @@ steps:
- vllm/
- tests/models/multimodal
commands:
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "not qwen2 and not qwen3 and not gemma"
- pytest -v -s models/multimodal/generation/test_qwen2_vl.py -m core_model
mirror:
@@ -59,15 +62,10 @@ steps:
- vllm/
- tests/models/multimodal
commands:
- pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py --ignore models/multimodal/generation/test_mm_prefix_lm.py --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/generation/test_vit_cudagraph.py --ignore models/multimodal/processing
- pytest -v -s models/multimodal/generation/test_vit_cudagraph.py -m core_model
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/processing
- pytest models/multimodal/generation/test_memory_leak.py -m core_model
- cd .. && VLLM_WORKER_MULTIPROC_METHOD=spawn pytest -v -s tests/models/multimodal/generation/test_whisper.py -m core_model # Otherwise, mp_method="spawn" doesn't work
mirror:
amd:
device: mi325_1
depends_on:
- image-build-amd
- label: Multi-Modal Processor (CPU)
key: multi-modal-processor-cpu
@@ -80,6 +78,7 @@ steps:
- tests/models/registry.py
device: cpu-medium
commands:
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal/processing --ignore models/multimodal/processing/test_tensor_schema.py
- label: Multi-Modal Processor # 44min
@@ -91,6 +90,7 @@ steps:
- tests/models/multimodal
- tests/models/registry.py
commands:
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal/processing/test_tensor_schema.py
- label: Multi-Modal Accuracy Eval (Small Models) # 50min
@@ -104,17 +104,6 @@ steps:
- vllm/v1/core/
commands:
- pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-mm-small.txt --tp-size=1
mirror:
amd:
device: mi300_1
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/multimodal/
- vllm/inputs/
- vllm/v1/core/
- vllm/platforms/rocm.py
- vllm/model_executor/model_loader/
- label: Multi-Modal Models (Extended Generation 1)
key: multi-modal-models-extended-generation-1
@@ -124,6 +113,7 @@ steps:
- tests/models/multimodal/generation
- tests/models/multimodal/test_mapping.py
commands:
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal/generation -m 'not core_model' --ignore models/multimodal/generation/test_common.py
- pytest -v -s models/multimodal/test_mapping.py
mirror:
@@ -140,6 +130,7 @@ steps:
- vllm/
- tests/models/multimodal/generation
commands:
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal/generation/test_common.py -m 'split(group=0) and not core_model'
- label: Multi-Modal Models (Extended Generation 3)
@@ -150,6 +141,7 @@ steps:
- vllm/
- tests/models/multimodal/generation
commands:
- pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
- pytest -v -s models/multimodal/generation/test_common.py -m 'split(group=1) and not core_model'
- label: Multi-Modal Models (Extended Pooling)
@@ -161,12 +153,3 @@ steps:
- tests/models/multimodal/pooling
commands:
- pytest -v -s models/multimodal/pooling -m 'not core_model'
mirror:
amd:
device: mi325_1
timeout_in_minutes: 60
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/
- tests/models/multimodal/pooling
+3 -26
View File
@@ -27,39 +27,16 @@ steps:
- pip install -e ./plugins/bge_m3_sparse_plugin
- pytest -v -s plugins_tests/test_bge_m3_sparse_io_processor_plugins.py
- pip uninstall bge_m3_sparse_plugin -y
# test colbert_query io_processor plugin
- pip install -e ./plugins/colbert_query_plugin
- pytest -v -s plugins_tests/test_colbert_query_io_processor_plugins.py
- pip uninstall colbert_query_plugin -y
# end io_processor plugins test
# begin stat_logger plugins test
- pip install -e ./plugins/vllm_add_dummy_stat_logger
- pytest -v -s plugins_tests/test_stats_logger_plugins.py
- pip uninstall dummy_stat_logger -y
# end stat_logger plugins test
# begin endpoint plugins test
- pip install -e ./plugins/vllm_add_dummy_endpoint_plugin
- pytest -v -s plugins_tests/test_endpoint_plugins.py
- pip uninstall vllm_add_dummy_endpoint_plugin -y
# end endpoint plugins test
# other tests continue here:
- pytest -v -s plugins_tests/test_scheduler_plugins.py
- pip install -e ./plugins/vllm_add_dummy_model
- pytest -v -s distributed/test_distributed_oot.py
- pytest -v -s plugins_tests/test_oot_registration_online.py # it needs a clean process
- pytest -v -s plugins_tests/test_oot_registration_offline.py # it needs a clean process
- pytest -v -s plugins_tests/lora_resolvers # unit tests for in-tree lora resolver plugins
- label: GGUF Plugin
key: gguf-plugin
device: h200_18gb
timeout_in_minutes: 30
soft_fail: true
optional: true
source_file_dependencies:
- vllm/model_executor/layers/quantization
- tests/plugins_tests/test_gguf_plugin.py
commands:
- pip install "vllm-gguf-plugin >= 0.0.2"
- pytest -v -s plugins_tests/gguf
- pytest -v -s entrypoints/openai/chat_completion/test_oot_registration.py # it needs a clean process
- pytest -v -s models/test_oot_registration.py # it needs a clean process
- pytest -v -s plugins/lora_resolvers # unit tests for in-tree lora resolver plugins
-14
View File
@@ -107,12 +107,6 @@ steps:
- tests/compile/passes
commands:
- pytest -s -v compile/passes --ignore compile/passes/distributed
mirror:
amd:
device: mi300_1
timeout_in_minutes: 180
depends_on:
- image-build-amd
- label: PyTorch Fullgraph Smoke Test
key: pytorch-fullgraph-smoke-test
@@ -195,11 +189,3 @@ steps:
- requirements/test/nightly-torch.txt
commands:
- bash standalone_tests/pytorch_nightly_dependency.sh
mirror:
amd:
device: mi300_1
depends_on:
- image-build-amd
source_file_dependencies:
- requirements/test/nightly-torch.txt
- vllm/platforms/rocm.py
-12
View File
@@ -21,18 +21,6 @@ steps:
- uv pip install --system conch-triton-kernels
- VLLM_TEST_FORCE_LOAD_FORMAT=auto pytest -v -s quantization/ --ignore quantization/test_blackwell_moe.py
- label: Quantized Fusions
key: quantized-fusions
timeout_in_minutes: 30
source_file_dependencies:
- tests/fusion
- vllm/model_executor/layers/fusion
- vllm/model_executor/kernels/linear
- vllm/model_executor/layers/quantization/compressed_tensors
- vllm/model_executor/layers/quantization/modelopt.py
commands:
- pytest -v -s fusion/
- label: Quantized MoE Test (B200)
key: quantized-moe-test-b200
timeout_in_minutes: 60
+11 -22
View File
@@ -15,26 +15,24 @@ steps:
- tests/utils.py
- tests/benchmarks/test_serve_cli.py
- tests/entrypoints/openai/chat_completion/test_chat_completion.py
- tests/entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py
# - tests/entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py
# - tests/entrypoints/openai/completion/test_prompt_validation.py
- tests/entrypoints/openai/completion/test_shutdown.py
- tests/entrypoints/openai/test_return_token_ids.py
- tests/entrypoints/openai/test_uds.py
# - tests/entrypoints/openai/test_return_token_ids.py
# - tests/entrypoints/openai/test_uds.py
- tests/v1/sample/test_logprobs_e2e.py
commands:
- export VLLM_USE_RUST_FRONTEND=1
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s benchmarks/test_serve_cli.py -k "not insecure and not (test_bench_serve and not test_bench_serve_chat)"
- pytest -v -s entrypoints/openai/chat_completion/test_chat_completion.py -k "not test_invalid_json_schema and not test_invalid_regex"
- pytest -v -s entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py -k "not multiple"
- pytest -v -s entrypoints/openai/chat_completion/test_chat_completion.py
# - pytest -v -s entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py -k "not invalid"
# - pytest -v -s entrypoints/openai/completion/test_prompt_validation.py -k "not prompt_embeds"
- pytest -v -s entrypoints/openai/completion/test_shutdown.py -k "not engine_failure and not test_abort_timeout_exits_quickly"
# test_comparison streams differently: Rust emits a separate first (prompt_token_ids) chunk and
# finish chunk without logprobs, while the test reads `logprobs.tokens` on every chunk.
- pytest -v -s entrypoints/openai/test_return_token_ids.py -k "not test_comparison"
- pytest -v -s entrypoints/openai/test_uds.py
# - pytest -v -s entrypoints/openai/test_return_token_ids.py
# - pytest -v -s entrypoints/openai/test_uds.py
- pytest -v -s v1/sample/test_logprobs_e2e.py -k "test_prompt_logprobs_e2e_server"
- label: Rust Frontend Serve/Admin Coverage
@@ -47,24 +45,19 @@ steps:
- vllm/entrypoints/serve/
- vllm/v1/engine/
- tests/utils.py
- tests/entrypoints/serve/dev/rpc/test_collective_rpc.py
- tests/entrypoints/scale_out/token_in_token_out/test_serving_tokens.py
# - tests/entrypoints/serve/dev/rpc/test_collective_rpc.py
- tests/entrypoints/serve/disagg/test_serving_tokens.py
- tests/entrypoints/serve/instrumentator/test_basic.py
- tests/entrypoints/serve/instrumentator/test_metrics.py
# - tests/entrypoints/serve/dev/test_sleep.py
- tests/entrypoints/serve/tokenize/test_tokenization.py
commands:
- export VLLM_USE_RUST_FRONTEND=1
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- PYTHONPATH=/vllm-workspace pytest -v -s entrypoints/serve/dev/rpc/test_collective_rpc.py
# server_load can be flaky under the Rust frontend; keep it excluded for now.
# - pytest -v -s entrypoints/serve/dev/rpc/test_collective_rpc.py
- pytest -v -s entrypoints/serve/instrumentator/test_basic.py -k "not show_version and not server_load"
# test_generate_logprobs expects Python-style top_logprobs truncation (dedup sampled + cap at max(k, 1)).
- pytest -v -s entrypoints/scale_out/token_in_token_out/test_serving_tokens.py -k "not stream and not lora and not test_generate_logprobs and not stop_string_workflow"
- pytest -v -s entrypoints/serve/disagg/test_serving_tokens.py -k "not stream and not lora and not test_generate_logprobs and not stop_string_workflow"
- pytest -v -s entrypoints/serve/instrumentator/test_metrics.py -k "text and not show and not run_batch and not test_metrics_counts and not test_metrics_exist"
# - pytest -v -s entrypoints/serve/dev/test_sleep.py
# /tokenizer_info is not implemented in the Rust frontend (the CLI flag is accepted as a no-op).
- pytest -v -s entrypoints/serve/tokenize/test_tokenization.py -k "not tokenizer_info"
- label: Rust Frontend Core Correctness
timeout_in_minutes: 30
@@ -106,13 +99,9 @@ steps:
- vllm/v1/engine/
- vllm/v1/worker/
- tests/utils.py
- tests/v1/distributed/test_external_lb_dp.py
- tests/v1/distributed/test_hybrid_lb_dp.py
- tests/v1/distributed/test_internal_lb_dp.py
commands:
- export VLLM_USE_RUST_FRONTEND=1
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- export NCCL_CUMEM_HOST_ENABLE=0
- TP_SIZE=1 DP_SIZE=4 pytest -v -s v1/distributed/test_internal_lb_dp.py -k "not 4 and not server_info"
- TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_external_lb_dp.py -k "not 4 and not server_info"
- TP_SIZE=1 DP_SIZE=4 pytest -v -s v1/distributed/test_hybrid_lb_dp.py -k "not 4 and not server_info"
+1 -1
View File
@@ -19,7 +19,7 @@ steps:
- VLLM_USE_FLASHINFER_SAMPLER=1 pytest -v -s samplers
mirror:
amd:
device: mi325_1
device: mi250_1
depends_on:
- image-build-amd
commands:
-59
View File
@@ -12,20 +12,6 @@ steps:
- tests/v1/e2e/spec_decode/
commands:
- pytest -v -s v1/e2e/spec_decode -k "eagle_correctness"
mirror:
amd:
device: mi325_1
timeout_in_minutes: 45
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/v1/spec_decode/
- vllm/v1/worker/gpu/spec_decode/
- vllm/model_executor/model_loader/
- vllm/v1/sample/
- vllm/model_executor/layers/
- tests/v1/e2e/spec_decode/
- vllm/platforms/rocm.py
- label: Spec Decode Eagle Nightly B200
key: spec-decode-eagle-nightly-b200
@@ -51,21 +37,6 @@ steps:
- tests/v1/e2e/spec_decode/
commands:
- pytest -v -s v1/e2e/spec_decode -k "speculators or mtp_correctness"
mirror:
amd:
device: mi325_1
timeout_in_minutes: 65
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/v1/spec_decode/
- vllm/v1/worker/gpu/spec_decode/
- vllm/model_executor/model_loader/
- vllm/v1/sample/
- vllm/model_executor/layers/
- vllm/transformers_utils/configs/speculators/
- tests/v1/e2e/spec_decode/
- vllm/platforms/rocm.py
- label: Spec Decode Speculators + MTP Nightly B200
key: spec-decode-speculators-mtp-nightly-b200
@@ -90,22 +61,6 @@ steps:
- tests/v1/e2e/spec_decode/
commands:
- pytest -v -s v1/e2e/spec_decode -k "ngram or suffix"
mirror:
amd:
device: mi325_1
timeout_in_minutes: 65
# TODO(akaratza): Test after Torch >= 2.12 bump
soft_fail: true
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/v1/spec_decode/
- vllm/v1/worker/gpu/spec_decode/
- vllm/model_executor/model_loader/
- vllm/v1/sample/
- vllm/model_executor/layers/
- tests/v1/e2e/spec_decode/
- vllm/platforms/rocm.py
- label: Spec Decode Draft Model
key: spec-decode-draft-model
@@ -117,20 +72,6 @@ steps:
- tests/v1/e2e/spec_decode/
commands:
- pytest -v -s v1/e2e/spec_decode -k "draft_model or no_sync or batch_inference"
mirror:
amd:
device: mi325_1
timeout_in_minutes: 50
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/v1/spec_decode/
- vllm/v1/worker/gpu/spec_decode/
- vllm/model_executor/model_loader/
- vllm/v1/sample/
- vllm/model_executor/layers/
- tests/v1/e2e/spec_decode/
- vllm/platforms/rocm.py
- label: Spec Decode Draft Model Nightly B200
key: spec-decode-draft-model-nightly-b200
@@ -13,13 +13,6 @@ steps:
- tests/weight_loading
commands:
- bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models.txt
mirror:
amd:
device: mi300_2
depends_on:
- image-build-amd
commands:
- bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models-amd.txt
# - label: Weight Loading Multiple GPU - Large Models # optional
# working_dir: "/vllm-workspace/tests"
@@ -1,35 +0,0 @@
---
name: ci-fails-buildkite
description: Fetch and diagnose vLLM Buildkite CI failure logs. Use when investigating failing CI jobs on a PR or build, when the user pastes a buildkite.com URL, or asks to fetch/diagnose CI logs.
---
# Diagnosing vLLM Buildkite CI Failures
Buildkite logs are public; no login needed.
`.buildkite/scripts/ci-fetch-log.sh` saves each log as `ci-<build>-<job-name>.log`, stripped of timestamps and ANSI codes. Existing files are kept; set `CI_FETCH_LOG_FORCE=1` to refetch.
## Fetching logs
```bash
# All failed jobs in a PR's latest build (current branch's PR if omitted):
.buildkite/scripts/ci-fetch-log.sh --pr <PR>
# All failed jobs in a build (--soft also includes soft-failed jobs;
# --all fetches every finished job):
.buildkite/scripts/ci-fetch-log.sh "https://buildkite.com/vllm/ci/builds/<N>"
# One job — `gh pr checks` URLs (#<job_uuid>) and web UI URLs (?sid=) both
# work; pass "-" as a second argument to stream to stdout:
.buildkite/scripts/ci-fetch-log.sh "https://buildkite.com/vllm/ci/builds/<N>#<job_uuid>"
```
To clean an already-downloaded log with `.buildkite/scripts/ci-clean-log.sh`:
```bash
./ci-clean-log.sh ci.log
```
## Reference
See [docs/contributing/ci/failures.md](../../../docs/contributing/ci/failures.md) for the full guide: filing CI failure issues, investigating/bisecting, reproducing flaky tests, and daily triage.
+25 -22
View File
@@ -2,16 +2,17 @@
# for more info about CODEOWNERS file
# This lists cover the "core" components of vLLM that require careful review
/vllm/compilation @zou3519 @youkaichao @ProExpertProg @BoyuanFeng
/vllm/distributed/kv_transfer @NickLucche @ApostaC @orozery @xuechendi @ivanium
/vllm/compilation @zou3519 @youkaichao @ProExpertProg @BoyuanFeng @vadiklyutiy
/vllm/distributed/kv_transfer @NickLucche @ApostaC @orozery @xuechendi
/vllm/lora @jeejeelee
/vllm/model_executor/layers/attention @LucasWilkinson @MatthewBonanni
/vllm/model_executor/layers/fused_moe @mgoin @pavanimajety @zyongye
/vllm/model_executor/layers/quantization @mgoin @robertgshaw2-redhat @tlrmchlsmth @yewentao256 @pavanimajety @zyongye
/vllm/model_executor/layers/mamba @tdoublep @tomeras91
/vllm/model_executor/layers/mamba/gdn/qwen_gdn_linear_attn.py @tdoublep @ZJY0516 @vadiklyutiy
/vllm/model_executor/layers/mamba/gdn_linear_attn.py @tdoublep @ZJY0516 @vadiklyutiy
/vllm/model_executor/layers/rotary_embedding.py @vadiklyutiy
/vllm/model_executor/model_loader @22quinn
/vllm/model_executor/layers/batch_invariant.py @yewentao256
/vllm/model_executor/layers/batch_invariant.py @yewentao256
/vllm/ir @ProExpertProg
/vllm/kernels/ @ProExpertProg @tjtanaa
/vllm/kernels/helion @ProExpertProg @zou3519
@@ -22,13 +23,8 @@
# Any change to the VllmConfig changes can have a large user-facing impact,
# so spam a lot of people
/vllm/config @WoosukKwon @youkaichao @robertgshaw2-redhat @mgoin @tlrmchlsmth @houseroad @yewentao256 @ProExpertProg
/vllm/config/cache.py @heheda12345 @ivanium
# Config utils
/vllm/config/utils.py @hmellor
/vllm/engine/arg_utils.py @hmellor
/vllm/utils/argparse_utils.py
/vllm/config @WoosukKwon @youkaichao @robertgshaw2-redhat @mgoin @tlrmchlsmth @houseroad @hmellor @yewentao256 @ProExpertProg
/vllm/config/cache.py @heheda12345
# Entrypoints
/vllm/entrypoints/anthropic @mgoin @DarkLight1337
@@ -38,11 +34,10 @@
/vllm/entrypoints/speech_to_text/realtime @njhill
/vllm/entrypoints/speech_to_text @NickLucche
/vllm/entrypoints/pooling @noooop
/vllm/entrypoints/serve/sagemaker @DarkLight1337
/vllm/entrypoints/sagemaker @DarkLight1337
/vllm/entrypoints/serve @njhill
/vllm/entrypoints/*.py @njhill
/vllm/entrypoints/chat_utils.py @DarkLight1337
/vllm/entrypoints/offline_utils.py @DarkLight1337
/vllm/entrypoints/llm.py @DarkLight1337
# Rust Frontend
@@ -67,20 +62,19 @@
/vllm/v1/attention/backends/flashinfer.py @mgoin @pavanimajety @vadiklyutiy
/vllm/v1/attention/backends/triton_attn.py @tdoublep
/vllm/v1/attention/backends/gdn_attn.py @ZJY0516 @vadiklyutiy
/vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery @ivanium
/vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
/vllm/v1/sample @22quinn @houseroad @njhill
/vllm/v1/spec_decode @benchislett @luccafong @MatthewBonanni
/vllm/v1/structured_output @mgoin @russellb @aarnphm @benchislett
/vllm/v1/kv_cache_interface.py @heheda12345 @ivanium
/vllm/v1/kv_cache_interface.py @heheda12345
/vllm/v1/kv_offload @ApostaC @orozery
/vllm/v1/simple_kv_offload @ivanium
/vllm/v1/engine @njhill
/vllm/v1/executor @njhill
/vllm/v1/worker @njhill
/vllm/v1/worker/kv_connector_model_runner_mixin.py @orozery @NickLucche @ivanium
/vllm/v1/worker/kv_connector_model_runner_mixin.py @orozery @NickLucche
# Model runner V2
/vllm/v1/worker/gpu @WoosukKwon @njhill @yewentao256
/vllm/v1/worker/gpu @WoosukKwon @njhill
/vllm/v1/worker/gpu/kv_connector.py @orozery
# CI & building
@@ -104,14 +98,13 @@
/tests/test_inputs.py @DarkLight1337 @ywang96
/tests/entrypoints/llm/test_struct_output_generate.py @mgoin @russellb @aarnphm
/tests/v1/structured_output @mgoin @russellb @aarnphm
/tests/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery @ivanium
/tests/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
/tests/weight_loading @mgoin @youkaichao @yewentao256
/tests/lora @jeejeelee
/tests/models/language/generation/test_hybrid.py @tdoublep @tomeras91
/tests/v1/kv_connector/nixl_integration @NickLucche
/tests/v1/kv_connector @ApostaC @orozery @ivanium
/tests/v1/kv_connector @ApostaC @orozery
/tests/v1/kv_offload @ApostaC @orozery
/tests/v1/simple_kv_offload @ivanium
/tests/v1/determinism @yewentao256
/tests/reasoning @aarnphm @chaunceyjiang @sfeng33 @bbrowning
/tests/tool_parsers @aarnphm @chaunceyjiang @sfeng33 @bbrowning
@@ -119,7 +112,17 @@
# Transformers modeling backend
/vllm/model_executor/models/transformers @hmellor
/tests/models/transformers @hmellor
/tests/models/test_transformers.py @hmellor
# Observability
/vllm/config/observability.py @markmc
/vllm/v1/metrics @markmc
/tests/v1/metrics @markmc
/vllm/tracing.py @markmc
/tests/v1/tracing/test_tracing.py @markmc
/vllm/config/kv_events.py @markmc
/vllm/distributed/kv_events.py @markmc
/tests/distributed/test_events.py @markmc
# Docs
/docs/mkdocs @hmellor
-7
View File
@@ -1,7 +0,0 @@
# Custom self-hosted runner labels (e.g. the autoscaling vllm-runners pool) so
# actionlint doesn't flag them as unknown in `runs-on`.
self-hosted-runner:
labels:
- vllm-runners
# Not yet in actionlint's known-label set.
- macos-26
+1
View File
@@ -21,6 +21,7 @@ updates:
- dependency-name: "torchvision"
- dependency-name: "xformers"
- dependency-name: "lm-format-enforcer"
- dependency-name: "gguf"
- dependency-name: "compressed-tensors"
- dependency-name: "ray[cgraph]" # Ray Compiled Graph
- dependency-name: "lm-eval"
+16 -11
View File
@@ -21,9 +21,6 @@ pull_request_rules:
- check-failure=pre-commit
- -closed
- -draft
- or:
- label=ready
- label=verified
actions:
comment:
message: |
@@ -39,6 +36,18 @@ pull_request_rules:
For future commits, `pre-commit` will run automatically on changed files before each commit.
> [!TIP]
> <details>
> <summary>Is <code>mypy</code> failing?</summary>
> <br/>
> <code>mypy</code> is run differently in CI. If the failure is related to this check, please use the following command to run it locally:
>
> ```bash
> # For mypy (substitute "3.10" with the failing version if needed)
> pre-commit run --hook-stage manual mypy-3.10
> ```
> </details>
- name: comment-dco-failure
description: Comment on PR when DCO check fails
conditions:
@@ -144,12 +153,12 @@ pull_request_rules:
- label != stale
- or:
- files~=^examples/.*mistral.*\.py
- files~=^tests/.*(?:mistral|voxtral|mixtral|pixtral).*\.py
- files~=^vllm/model_executor/models/.*(?:mistral|voxtral|mixtral|pixtral).*\.py
- files~=^tests/.*mistral.*\.py
- files~=^vllm/model_executor/models/.*mistral.*\.py
- files~=^vllm/reasoning/.*mistral.*\.py
- files~=^vllm/tool_parsers/.*mistral.*\.py
- files~=^vllm/transformers_utils/.*(?:mistral|voxtral|pixtral).*\.py
- title~=(?i)(?:mistral|ministral|voxtral|mixtral|pixtral)
- files~=^vllm/transformers_utils/.*mistral.*\.py
- title~=(?i)Mistral
actions:
label:
add:
@@ -388,13 +397,9 @@ pull_request_rules:
- or:
- files~=^tests/tool_use/
- files~=^tests/tool_parsers/
- files~=^tests/parser/
- files~=^tests/reasoning/
- files~=^tests/entrypoints/openai/.*tool.*
- files~=^tests/entrypoints/anthropic/.*tool.*
- files~=^vllm/tool_parsers/
- files~=^vllm/parser/
- files~=^vllm/reasoning/
- files=docs/features/tool_calling.md
- files~=^examples/tool_calling/
actions:
+1 -1
View File
@@ -327,7 +327,7 @@ jobs:
message: 'CC {users} for ROCm-related issue',
},
mistral: {
users: ['patrickvonplaten', 'juliendenize', 'andylolu2', 'NickLucche'],
users: ['patrickvonplaten', 'juliendenize', 'andylolu2'],
message: 'CC {users} for Mistral-related issue',
},
// Add more label -> user mappings here
+10 -19
View File
@@ -11,25 +11,13 @@ permissions:
jobs:
macos-m1-smoke-test:
# macos-26 (the supported target) is still a preview runner, so gate on GA
# macos-15 and keep macos-26 non-blocking.
strategy:
fail-fast: false
matrix:
include:
- os: macos-15
required: true
- os: macos-26
required: false
name: macos-m1-smoke-test (${{ matrix.os }})
runs-on: ${{ matrix.os }}
continue-on-error: ${{ !matrix.required }}
runs-on: macos-latest
timeout-minutes: 30
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6.0.1
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
- uses: astral-sh/setup-uv@v7
with:
enable-cache: true
cache-dependency-glob: |
@@ -84,11 +72,14 @@ jobs:
# Test health endpoint
curl -f http://localhost:8000/health
# Long prompt: hits the split-KV path that short prompts skip (#46769).
PAYLOAD=$(python -c "import json; print(json.dumps({'model': 'Qwen/Qwen3-0.6B', 'prompt': 'The quick brown fox jumps over the lazy dog. ' * 24, 'max_tokens': 16}))")
curl -f --max-time 120 http://localhost:8000/v1/completions \
# Test completion
curl -f http://localhost:8000/v1/completions \
-H "Content-Type: application/json" \
-d "$PAYLOAD"
-d '{
"model": "Qwen/Qwen3-0.6B",
"prompt": "Hello",
"max_tokens": 5
}'
# Cleanup
kill "$SERVER_PID"
+5 -10
View File
@@ -28,8 +28,7 @@ jobs:
pull_number: context.payload.pull_request.number,
});
const readyLabels = ['ready', 'ready-run-all-tests'];
const hasReadyLabel = pr.labels.some(l => readyLabels.includes(l.name));
const hasReadyLabel = pr.labels.some(l => l.name === 'ready');
const hasVerifiedLabel = pr.labels.some(l => l.name === 'verified');
const { data: mergedPRs } = await github.rest.search.issuesAndPullRequests({
@@ -41,22 +40,18 @@ jobs:
if (hasReadyLabel || hasVerifiedLabel || mergedCount >= 4) {
core.info(`Check passed: verified label=${hasVerifiedLabel}, ready label=${hasReadyLabel}, 4+ merged PRs=${mergedCount >= 4}`);
} else {
core.setFailed(`PR must have the 'verified', 'ready', or 'ready-run-all-tests' label (the ready labels also trigger tests) or the author must have at least 4 merged PRs (found ${mergedCount}).`);
core.setFailed(`PR must have the 'verified' or 'ready' (which also triggers tests) label or the author must have at least 4 merged PRs (found ${mergedCount}).`);
}
pre-commit:
needs: pre-run-check
if: always() && (needs.pre-run-check.result == 'success' || needs.pre-run-check.result == 'skipped')
runs-on: [self-hosted, linux, x64, vllm-runners]
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/setup-python@83679a892e2d95755f2dac6acb0bfd1e9ac5d548 # v6.1.0
- uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.12"
# Provide shellcheck on PATH so tools/pre_commit/shellcheck.sh skips its
# wget + tar -xJ self-download, which the self-hosted runner image lacks
# (no wget/xz). Pinned to shellcheck 0.10.0 to match the script's "stable".
- run: python -m pip install shellcheck-py==0.10.0.1
- run: echo "::add-matcher::.github/workflows/matchers/actionlint.json"
- run: echo "::add-matcher::.github/workflows/matchers/markdownlint.json"
- run: echo "::add-matcher::.github/workflows/matchers/mypy.json"
+2 -5
View File
@@ -9,7 +9,7 @@ PATH=${cuda_home}/bin:$PATH
LD_LIBRARY_PATH=${cuda_home}/lib64:$LD_LIBRARY_PATH
# Install requirements
if [ "$(echo "$2" | cut -d. -f1)" = "12" ]; then
if [ "$(echo $2 | cut -d. -f1)" = "12" ]; then
sed -i 's/^nvidia-cutlass-dsl\[cu13\]>=/nvidia-cutlass-dsl>=/' requirements/cuda.txt
fi
$python_executable -m pip install -r requirements/build/cuda.txt -r requirements/cuda.txt
@@ -17,10 +17,7 @@ $python_executable -m pip install -r requirements/build/cuda.txt -r requirements
# Limit the number of parallel jobs to avoid OOM
export MAX_JOBS=1
# Make sure release wheels are built for the following architectures
# Do not add +PTX here: vLLM filters torch's top-level PTX flag when it
# converts global gencode flags into per-kernel arch lists. If a specific
# kernel needs PTX, add +PTX to that kernel's CMake arch list instead.
export TORCH_CUDA_ARCH_LIST="7.5 8.0 8.6 8.9 9.0 10.0 12.0"
export TORCH_CUDA_ARCH_LIST="7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX"
bash tools/check_repo.sh
+1 -1
View File
@@ -15,7 +15,7 @@ jobs:
actions: write
runs-on: ubuntu-latest
steps:
- uses: actions/stale@eb5cf3af3ac0a1aa4c9c45633dd1ae542a27a899 # v10.3.0
- uses: actions/stale@997185467fa4f803885201cee163a9f38240193d # v10.1.1
with:
# Increasing this value ensures that changes to this workflow
# propagate to all issues and PRs in days rather than months
+2 -7
View File
@@ -15,9 +15,6 @@ vllm/third_party/flashmla/flash_mla_interface.py
# DeepGEMM vendored package built from source
vllm/third_party/deep_gemm/
# fmha_sm100 vendored package built from source
vllm/third_party/fmha_sm100/
# triton jit
.triton
@@ -199,9 +196,7 @@ cython_debug/
.vscode/
# Claude
.claude/*
!.claude/skills/
!.claude/skills/**
.claude/
# Codex
.codex/
@@ -238,7 +233,7 @@ actionlint
shellcheck*/
# Ignore moe/marlin_moe gen code
csrc/libtorch_stable/moe/marlin_moe_wna16/kernel_*
csrc/moe/marlin_moe_wna16/kernel_*
# Ignore ep_kernels_workspace folder
ep_kernels_workspace/
+14 -21
View File
@@ -21,7 +21,7 @@ repos:
rev: v21.1.2
hooks:
- id: clang-format
exclude: 'csrc/libtorch_stable/moe/topk_softmax_kernels.cu|vllm/third_party/.*'
exclude: 'csrc/(moe/topk_softmax_kernels.cu|libtorch_stable/quantization/gguf/(ggml-common.h|dequantize.cuh|vecdotq.cuh|mmq.cuh|mmvq.cuh))|vllm/third_party/.*'
types_or: [c++, cuda]
args: [--style=file, --verbose]
- repo: https://github.com/DavidAnson/markdownlint-cli2
@@ -131,19 +131,6 @@ repos:
--python-version, "3.12",
]
files: ^requirements/(common|xpu|test/xpu)\.(in|txt)$
- id: pip-compile
alias: pip-compile-cpu
name: pip-compile-cpu
args: [
requirements/test/cuda.in,
-o, requirements/test/cpu.txt,
--index-strategy, unsafe-best-match,
--torch-backend, cpu,
--python-platform, x86_64-manylinux_2_28,
--python-version, "3.12",
]
files: ^requirements/(common|cpu|test/(cuda|cpu))\.(in|txt)$
exclude: ^requirements/test/cuda\.txt$
- id: pip-compile
alias: pip-compile-docs
name: pip-compile-docs
@@ -161,27 +148,33 @@ repos:
language: python
entry: python tools/pre_commit/generate_nightly_torch_test.py
files: ^requirements/test/cuda\.(in|txt)$
- id: mypy-3.10 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
name: Run mypy for Python 3.10
entry: python tools/pre_commit/mypy.py "3.10"
- id: mypy-local
name: Run mypy locally for lowest supported Python version
entry: python tools/pre_commit/mypy.py 0 "3.10"
stages: [pre-commit] # Don't run in CI
<<: &mypy_common
language: python
types_or: [python, pyi]
require_serial: true
additional_dependencies: ["mypy==1.20.2", regex, types-cachetools, types-setuptools, types-PyYAML, types-requests, types-torch, pydantic]
additional_dependencies: ["mypy[faster-cache]==1.19.1", regex, types-cachetools, types-setuptools, types-PyYAML, types-requests, types-torch, pydantic]
- id: mypy-3.10 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
name: Run mypy for Python 3.10
entry: python tools/pre_commit/mypy.py 1 "3.10"
<<: *mypy_common
stages: [manual] # Only run in CI
- id: mypy-3.11 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
name: Run mypy for Python 3.11
entry: python tools/pre_commit/mypy.py "3.11"
entry: python tools/pre_commit/mypy.py 1 "3.11"
<<: *mypy_common
stages: [manual] # Only run in CI
- id: mypy-3.12 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
name: Run mypy for Python 3.12
entry: python tools/pre_commit/mypy.py "3.12"
entry: python tools/pre_commit/mypy.py 1 "3.12"
<<: *mypy_common
stages: [manual] # Only run in CI
- id: mypy-3.13 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
name: Run mypy for Python 3.13
entry: python tools/pre_commit/mypy.py "3.13"
entry: python tools/pre_commit/mypy.py 1 "3.13"
<<: *mypy_common
stages: [manual] # Only run in CI
- id: shellcheck
View File
+14 -42
View File
@@ -29,7 +29,6 @@ Do not open one-off PRs for tiny edits (single typo, isolated style change, one
- PR descriptions for AI-assisted work **must** include:
- Why this is not duplicating an existing PR.
- Test commands run and results.
- Model evaluation results when the change affects output, accuracy, or serving.
- Clear statement that AI assistance was used.
### Fail-closed behavior
@@ -67,38 +66,23 @@ VLLM_USE_PRECOMPILED=1 uv pip install -e . --torch-backend=auto
uv pip install -e . --torch-backend=auto
```
### Tests
### Running tests
> Requires [Environment setup](#environment-setup) and [Installing dependencies](#installing-dependencies).
```bash
# Install test dependencies (use cuda.in on non-x86_64):
uv pip install -r requirements/test/cuda.in
# Install test dependencies.
# requirements/test/cuda.txt is pinned to x86_64; on other platforms, use the
# unpinned source file instead:
uv pip install -r requirements/test/cuda.in # resolves for current platform
# Or on x86_64:
uv pip install -r requirements/test/cuda.txt
# Run a specific test file:
# Run a specific test file (use .venv/bin/python directly;
# `source activate` does not persist in non-interactive shells):
.venv/bin/python -m pytest tests/path/to/test_file.py -v
```
When adding tests:
- **Design before you write.** Answer four questions first: what is the module
for, what is its I/O contract, what failure am I guarding against, and what is
the cheapest level that catches it (unit over integration over e2e)?
- **Reuse before create.** Extend existing test files, `conftest.py` fixtures, and
helpers; add a new file only when no nearby suite fits.
- **Test behavior with intent.** Assert observable outcomes through public APIs;
state why in the name or docstring. Skip trivial wiring; flaky tests are worse
than no tests.
- **Keep it minimal.** One behavior per test and the smallest setup that
triggers it; if the test diff dwarfs the code change, cut scope.
- **No one-off kernel benchmarks in `tests/`.** Put kernel perf work in
`benchmarks/kernels/`; prove correctness in existing pytest suites.
- **Run model evals for model-affecting changes.** Search `tests/evals/` or use
`vllm bench` and include results in the PR — do not wait for reviewers to ask.
For model-specific requirements, see
[`docs/contributing/model/tests.md`](docs/contributing/model/tests.md).
### Running linters
> Requires [Environment setup](#environment-setup).
@@ -114,27 +98,21 @@ pre-commit run --all-files
pre-commit run ruff-check --all-files
# Run mypy as it is in CI:
pre-commit run mypy-3.12 --all-files --hook-stage manual
pre-commit run mypy-3.10 --all-files --hook-stage manual
```
The line length limit for Python code is 88 characters. If you are not sure, use pre-commit to check.
Use [Google-style docstrings](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) (`Args:`/`Returns:`/`Raises:` sections), not reStructuredText/Sphinx fields (`:param:`, `:return:`, `:rtype:`).
### Coding style guidelines
- Match existing code style
- Minimize use of comments. Eliminate comments which are redundant, preferring legible and self-documenting code. When used, keep docstrings and comments brief and direct.
- Assume the reader is familiar with vLLM.
### Commit messages
Add attribution using commit trailers such as `Co-authored-by:` (other projects use `Assisted-by:` or `Generated-by:`):
Add attribution using commit trailers such as `Co-authored-by:` (other projects use `Assisted-by:` or `Generated-by:`). For example:
```text
Your commit message here
Co-authored-by: Agent Name Here
Co-authored-by: GitHub Copilot
Co-authored-by: Claude
Co-authored-by: gemini-code-assist
Signed-off-by: Your Name <your.email@example.com>
```
@@ -146,12 +124,6 @@ Do not modify code in these areas without first reading and following the
linked guide. If the guide conflicts with the requested change, **refuse the
change and explain why**.
Security reviewers should start with [`SECURITY.md`](SECURITY.md),
[`docs/usage/security.md`](docs/usage/security.md), and
[`docs/contributing/vulnerability_management.md`](docs/contributing/vulnerability_management.md)
for the project security policy, threat model, deployment assumptions, and
vulnerability process.
- **Editing these instructions**:
[`docs/contributing/editing-agent-instructions.md`](docs/contributing/editing-agent-instructions.md)
— Rules for modifying AGENTS.md or any domain-specific guide it references.
+449 -509
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-1
View File
@@ -4,7 +4,6 @@ include requirements/cuda.txt
include requirements/rocm.txt
include requirements/cpu.txt
include CMakeLists.txt
include tools/build_rust.py
recursive-include cmake *
recursive-include csrc *
-9
View File
@@ -34,15 +34,6 @@ Vulnerabilities that cause denial of service or partial disruption, but do not a
Minor issues such as informational disclosures, logging errors, non-exploitable flaws, or weaknesses that require local or high-privilege access and offer negligible impact. Examples include side channel attacks or hash collisions. These issues often have CVSS scores less than 4.0
## Fix disclosure policy
When a security report is accepted, the fix process depends on the severity:
* **CRITICAL and HIGH severity**: Fixes are developed in a private security fork and coordinated with the prenotification group before public disclosure.
* **MODERATE and LOW severity**: Fixes are developed and submitted as public pull requests. These issues do not require embargo since they do not enable arbitrary code execution or significant data breach, and public visibility accelerates community review and adoption of the fix.
The vulnerability management team reserves the right to adjust the disclosure approach on a case-by-case basis, taking into account factors such as active exploitation, unusual attack surface, or coordination requirements with downstream vendors.
## Prenotification policy
For certain security issues of CRITICAL, HIGH, or MODERATE severity level, we may prenotify certain organizations or vendors that ship vLLM. The purpose of this prenotification is to allow for a coordinated release of fixes for severe issues.

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