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khluu f28c233a03 test: touch tilelang.py for coverage comparison 2026-05-28 13:33:39 -07:00
3609 changed files with 116044 additions and 481099 deletions
-103
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@@ -1,103 +0,0 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Audit vLLM compiled libraries for PyTorch stable ABI compliance."""
import fnmatch
import sys
from pathlib import Path
from torch_abi_audit import inspect_package
from torch_abi_audit.report import ExtensionReport, PackageReport
# Temporary allowlist of extensions not yet on the stable ABI.
# Shrink and remove over time.
ALLOWED_UNSTABLE_LIBRARIES: tuple[str, ...] = (
"_flashkda_C.abi3.so",
"vllm_flash_attn/_vllm_fa2_C.abi3.so",
"vllm_flash_attn/_vllm_fa3_C.abi3.so",
"third_party/deep_gemm/_C*.so",
)
def _relative_path(lib: ExtensionReport, package_root: Path) -> str:
try:
return lib.path.relative_to(package_root).as_posix()
except ValueError:
return lib.path.name
def _is_torch_unstable(lib: ExtensionReport) -> bool:
return lib.error is None and lib.torch.uses_torch and not lib.torch.stable
def _matches_allowlist(rel_path: str, patterns: tuple[str, ...]) -> bool:
return any(fnmatch.fnmatch(rel_path, pattern) for pattern in patterns)
def _iter_libs(report: PackageReport) -> tuple[ExtensionReport, ...]:
return (*report.extensions, *report.bundled_libs)
def _collect_unstable(report: PackageReport) -> list[str]:
return sorted(
_relative_path(lib, report.root)
for lib in _iter_libs(report)
if _is_torch_unstable(lib)
)
def _find_stale_allowlist_entries(
report: PackageReport, patterns: tuple[str, ...]
) -> list[str]:
"""Allowlist patterns that match a built library which is no longer unstable."""
stale: list[str] = []
for pattern in patterns:
for lib in _iter_libs(report):
if lib.error is not None:
continue
if not fnmatch.fnmatch(_relative_path(lib, report.root), pattern):
continue
if not _is_torch_unstable(lib):
stale.append(pattern)
break
return stale
def check_torch_abi(
package: str = "vllm",
patterns: tuple[str, ...] = ALLOWED_UNSTABLE_LIBRARIES,
) -> int:
report = inspect_package(package)
if report.error:
print(f"error: failed to inspect {package!r}: {report.error}", file=sys.stderr)
return 2
unstable = _collect_unstable(report)
unexpected = [
rel_path for rel_path in unstable if not _matches_allowlist(rel_path, patterns)
]
stale = _find_stale_allowlist_entries(report, patterns)
if unexpected or stale:
if unexpected:
print(
"Not allowed: torch-unstable libraries outside "
f"ALLOWED_UNSTABLE_LIBRARIES: {', '.join(unexpected)}",
file=sys.stderr,
)
if stale:
print(
"Not allowed: stale ALLOWED_UNSTABLE_LIBRARIES entries: "
f"{', '.join(stale)}",
file=sys.stderr,
)
return 1
print("Torch stable ABI check passed.")
return 0
if __name__ == "__main__":
print(">>> Auditing vLLM extension modules for PyTorch stable ABI compliance")
sys.exit(check_torch_abi())
-1
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@@ -14,7 +14,6 @@ run_all_patterns:
- "setup.py"
- "csrc/"
- "cmake/"
- ".buildkite/check-torch-abi.py"
run_all_exclude_patterns:
- "docker/Dockerfile."
- "csrc/cpu/"
+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 -77
View File
@@ -1,84 +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 # Transient Docker/BuildKit failure
limit: 1
- 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: "$BUILDKITE_COMMIT"
retry:
automatic:
- exit_status: 1 # Transient Docker/BuildKit failure
limit: 1
- exit_status: -1 # Agent was lost
limit: 1
- exit_status: -10 # Agent was lost
limit: 1
- label: "AMD: :docker: build test image and artifacts"
key: image-build-amd
soft_fail: false
depends_on:
- ensure-ci-base-amd
device: amd_cpu
no_plugin: true
commands:
- bash .buildkite/scripts/rocm/build-test-image.sh
- bash .buildkite/scripts/rocm/smoke-test-image.sh
env:
DOCKER_BUILDKIT: "1"
BUILDKIT_PROGRESS: "tty"
TERM: "xterm-256color"
VLLM_BAKE_FILE: "docker/docker-bake-rocm.hcl"
PYTORCH_ROCM_ARCH: "gfx90a;gfx942;gfx950"
IMAGE_TAG: "rocm/vllm-ci:$BUILDKITE_COMMIT"
REMOTE_VLLM: "1"
VLLM_BRANCH: "$BUILDKITE_COMMIT"
retry:
automatic:
- exit_status: 1 # Transient Docker/BuildKit failure
limit: 1
- exit_status: -1 # Agent was lost
limit: 1
- exit_status: -10 # Agent was lost
limit: 1
+19 -50
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@@ -16,37 +16,28 @@ steps:
- tests/kernels/test_onednn.py
- 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
- tests/kernels/mamba/test_causal_conv1d.py
- tests/kernels/mamba/test_mamba_ssm.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
pytest -x -v -s tests/kernels/mamba/test_causal_conv1d.py
pytest -x -v -s tests/kernels/mamba/test_mamba_ssm.py"
pytest -x -v -s tests/kernels/quantization/test_cpu_fp8_scaled_mm.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: []
@@ -59,7 +50,7 @@ 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"
@@ -71,18 +62,11 @@ steps:
source_file_dependencies:
- vllm/v1/worker/cpu/
- vllm/v1/worker/gpu/
- 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"
VLLM_USE_V2_MODEL_RUNNER=1 pytest -x -v -s tests/models/language/generation/test_granite.py -m cpu_model"
- label: CPU-Quantization Model Tests
depends_on: []
@@ -97,13 +81,11 @@ 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: []
@@ -145,21 +127,8 @@ steps:
commands:
- |
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 --ignore=tests/models/multimodal/generation/test_qwen2_5_vl.py -m cpu_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB"
parallelism: 4
- label: CPU-Qwen2.5-VL Multimodal Tests
depends_on: []
device: intel_cpu
no_plugin: true
source_file_dependencies:
# - vllm/
- vllm/model_executor/layers/rotary_embedding
- tests/models/multimodal/generation/
commands:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 40m "
VLLM_CI_ENV=0 pytest -x -v -s tests/models/multimodal/generation/test_qwen2_5_vl.py"
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: 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" "$BUILDKITE_COMMIT"'
env:
DOCKER_BUILDKIT: "1"
retry:
automatic:
- exit_status: -1 # Agent was lost
limit: 2
- exit_status: -10 # Agent was lost
limit: 2
- label: "XPU example Test"
depends_on:
- image-build-xpu
timeout_in_minutes: 50
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh example'
- label: "XPU V1 test"
depends_on:
- image-build-xpu
timeout_in_minutes: 70
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh v1'
- label: "XPU server test"
depends_on:
- image-build-xpu
timeout_in_minutes: 45
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh server'
-20
View File
@@ -79,18 +79,12 @@ setup_buildx_builder() {
docker buildx ls | grep -E '^\*|^NAME' || docker buildx ls
}
annotate_image_tags() {
.buildkite/scripts/annotate-image-build.sh \
"${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"
@@ -177,18 +171,6 @@ BRANCH=$4
IMAGE_TAG=$5
IMAGE_TAG_LATEST=${6:-} # only used for main branch, optional
# When TORCH_NIGHTLY=1, build the base CI image against PyTorch nightly so the
# entire existing pipeline runs on nightly torch (CUDA/GPU lane only). Delegate
# to the dedicated nightly build (PYTORCH_NIGHTLY=1, CUDA 13.0) and tag it at the
# normal IMAGE_TAG that every test step already pulls -- no separate image tag,
# no duplicate "vLLM Against PyTorch Nightly" pipeline section.
if [[ "${TORCH_NIGHTLY:-0}" == "1" ]]; then
echo "--- :warning: TORCH_NIGHTLY=1 -- building base image on PyTorch nightly"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
exec "${SCRIPT_DIR}/image_build_torch_nightly.sh" \
"${REGISTRY}" "${REPO}" "${BUILDKITE_COMMIT}" "${BRANCH}" "${IMAGE_TAG}"
fi
# build config
TARGET="test-ci"
VLLM_BAKE_FILE_PATH="${VLLM_BAKE_FILE_PATH:-docker/docker-bake.hcl}"
@@ -272,5 +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
+2 -14
View File
@@ -6,26 +6,14 @@ steps:
timeout_in_minutes: 600
commands:
- if [[ "$BUILDKITE_BRANCH" == "main" ]]; then .buildkite/image_build/image_build.sh $REGISTRY $REPO $BUILDKITE_COMMIT $BRANCH $IMAGE_TAG $IMAGE_TAG_LATEST; else .buildkite/image_build/image_build.sh $REGISTRY $REPO $BUILDKITE_COMMIT $BRANCH $IMAGE_TAG; fi
retry:
automatic:
- exit_status: -1 # Agent was lost
limit: 2
- exit_status: -10 # Agent was lost
limit: 2
- label: ":docker: :smoking: Non-root smoke tests"
key: image-build-smoke-test
depends_on:
- image-build
commands:
# Smoke 1: the default (root) image must still be importable
# Non-root smoke 1: the default (root) image must still be importable
# under a non-root UID via `--user 2000:0`. Validates the `vllm` passwd
# entry + group-0-writable /home/vllm + uv path cleanup from #31959.
# Uses `import vllm` rather than `vllm serve --help` because the latter
# instantiates `VllmConfig` which requires a GPU attached to the
# container.
- docker run --rm --user 2000:0 --entrypoint python3 "$IMAGE_TAG" -c "import vllm; print(vllm.__version__)"
# Smoke 2: assert the non-root enabling invariants are baked
# Non-root smoke 2: assert the non-root enabling invariants are baked
# into the image. Runs as UID 2000:0 via a shell so we can verify
# filesystem perms + passwd/group file state + wrapper presence without
# triggering vLLM's GPU-requiring config-init path. The opt-in
+18 -20
View File
@@ -9,31 +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),
# Blackwell/Thor (sm_100/sm_103/sm_110), 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 10.0 11.0 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: 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/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'
@@ -1,26 +0,0 @@
group: Benchmarks
depends_on:
- image-build-xpu
steps:
- label: Benchmarks CLI Test
key: benchmarks-cli-test
timeout_in_minutes: 40
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/benchmarks/
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s benchmarks/'
-80
View File
@@ -2,51 +2,9 @@ group: Engine Intel
depends_on:
- image-build-xpu
steps:
- label: Engine
key: engine
timeout_in_minutes: 40
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/compilation/
- vllm/config/
- vllm/engine/
- vllm/entrypoints/logger.py
- vllm/envs.py
- vllm/logger.py
- vllm/logging_utils/
- vllm/platforms/
- vllm/sequence.py
- vllm/triton_utils/
- vllm/utils/
- tests/engine
- tests/test_sequence
- tests/test_config
- tests/test_logger
- tests/test_vllm_port
- tests/test_jit_monitor.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s engine/test_arg_utils.py test_sequence.py test_logger.py test_vllm_port.py test_jit_monitor.py'
- 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:
@@ -61,41 +19,3 @@ steps:
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s v1/engine --ignore v1/engine/test_preprocess_error_handling.py'
- label: V1 e2e (2 GPUs)
timeout_in_minutes: 30
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/compilation/
- vllm/config/
- vllm/distributed/
- vllm/engine/
- vllm/envs.py
- vllm/forward_context.py
- vllm/inputs/
- vllm/logger.py
- vllm/logging_utils/
- vllm/model_executor/
- vllm/multimodal/
- vllm/platforms/
- vllm/sampling_params.py
- vllm/transformers_utils/
- vllm/triton_utils/
- vllm/utils/
- vllm/v1/
- tests/v1/e2e/spec_decode
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s v1/e2e/spec_decode/test_spec_decode.py -k "tensor_parallelism"'
@@ -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:
+3 -29
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: 60
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:
+5 -236
View File
@@ -3,12 +3,8 @@ depends_on:
- image-build-xpu
steps:
- label: V1 Core + KV + Metrics
timeout_in_minutes: 45
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
@@ -33,12 +29,8 @@ steps:
pytest -v -s v1/executor'
- label: V1 Sample + Logits
timeout_in_minutes: 90
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
@@ -65,222 +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'
- 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 (4 GPUs)
timeout_in_minutes: 60
num_devices: 4
device: intel_gpu
agent_tags:
label: production
gpu: 4+
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 &&
PREFILLER_TP_SIZE=2 DECODER_TP_SIZE=1 bash v1/kv_connector/nixl_integration/run_xpu_disagg_accuracy_test.sh &&
PREFILLER_TP_SIZE=1 DECODER_TP_SIZE=2 bash v1/kv_connector/nixl_integration/run_xpu_disagg_accuracy_test.sh &&
PREFILLER_TP_SIZE=2 DECODER_TP_SIZE=2 bash v1/kv_connector/nixl_integration/run_xpu_disagg_accuracy_test.sh'
- label: Regression
key: regression
timeout_in_minutes: 50
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: 45
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: 55
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'
- label: Fusion Unit Tests
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/compilation/
- tests/compile/passes/test_qk_norm_rope_fusion.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s compile/passes/test_qk_norm_rope_fusion.py'
pytest -v -s v1/test_outputs.py'
@@ -1,33 +0,0 @@
group: Model Executor Intel
depends_on:
- image-build-xpu
steps:
- label: Model Executor (Intel)
key: model-executor-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/engine/arg_utils.py
- vllm/config/model.py
- vllm/model_executor
- tests/model_executor
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'apt-get update && apt-get install -y curl libsodium23 &&
pip3 install tensorizer==2.10.1 &&
pip3 install runai-model-streamer[s3,gcs,azure]\>=0.15.7 &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
export PYTHONFAULTHANDLER=1 &&
cd tests &&
pytest -v -s model_executor -m "not slow_test" --ignore="model_executor/layers/test_rocm_unquantized_gemm.py" --deselect="tests/model_executor/model_loader/test_reload.py::test_kv_scale_reload"'
@@ -1,116 +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: 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/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" &&
pytest -v -s v1/e2e/general/test_context_length.py &&
ENFORCE_EAGER=1 pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram" &&
pytest -v -s entrypoints/llm/test_struct_output_generate.py -k "xgrammar and not speculative_config6 and not speculative_config7 and not speculative_config8 and not speculative_config0" &&
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'
- label: Model Runner V2 Distributed (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/v1/worker/gpu/
- vllm/v1/worker/gpu_worker.py
- tests/basic_correctness/test_basic_correctness.py
- tests/v1/distributed/test_async_llm_dp.py
- tests/v1/distributed/test_eagle_dp.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'export VLLM_USE_V2_MODEL_RUNNER=1 &&
cd tests &&
TARGET_TEST_SUITE=L4 pytest -v -s basic_correctness/test_basic_correctness.py -m "distributed\(num_gpus=2\)" -k "not ray and not True"'
- label: Model Runner V2 Spec Decode
timeout_in_minutes: 50
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/worker/gpu_worker.py
- tests/v1/spec_decode/test_max_len.py
- tests/v1/spec_decode/test_rejection_sampler_utils.py
- tests/v1/e2e/spec_decode/test_spec_decode.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'export VLLM_USE_V2_MODEL_RUNNER=1 &&
cd tests &&
pytest -v -s v1/spec_decode/test_synthetic_rejection_sampler_utils.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: 65
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: 70
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: 70
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: 65
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: 60
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]"'
-29
View File
@@ -1,29 +0,0 @@
group: Samplers Intel
depends_on:
- image-build-xpu
steps:
- label: Samplers Test (FlashInfer)
key: samplers-test-flashinfer-intel
timeout_in_minutes: 40
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/model_executor/layers
- vllm/sampling_metadata.py
- tests/samplers
- tests/conftest.py
- vllm/entrypoints/generate/beam_search
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
VLLM_USE_FLASHINFER_SAMPLER=1 pytest -v -s samplers'
+6 -115
View File
@@ -17,12 +17,8 @@ steps:
- label: "XPU example Test"
depends_on:
- image-build-xpu
timeout_in_minutes: 50
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: 70
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -99,18 +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/e2e/general/test_correctness_sliding_window.py --deselect="tests/v1/e2e/general/test_correctness_sliding_window.py::test_sliding_window_retrieval[True-1-5-google/gemma-3-1b-it]" &&
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: 45
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -123,74 +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 &&
pytest -v -s quantization/test_online.py'
- label: "XPU GPQA Eval (GPT-OSS)"
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/
- tests/evals/gpt_oss/
- .buildkite/intel_jobs/test-intel.yaml
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install "gpt-oss[eval]==0.0.5" &&
cd tests &&
pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-xpu.txt'
- 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'
@@ -1,7 +1,6 @@
# For hf script, without -t option (tensor parallel size).
# bash .buildkite/lm-eval-harness/run-lm-eval-mmlupro-vllm-baseline.sh -m meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 -l 250 -t 8 -f 5
model_name: "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8"
rocm_safetensors_load_strategy: lazy
required_gpu_arch:
- gfx942
- gfx950
@@ -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
@@ -68,15 +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},"
if current_platform.is_rocm():
rocm_load_strategy = eval_config.get("rocm_safetensors_load_strategy")
if rocm_load_strategy is not None:
model_args += f"safetensors_load_strategy={rocm_load_strategy},"
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,
@@ -28,6 +28,11 @@
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json"
}
},
{
"dataset_name": "sharegpt",
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json"
}
},
{
"test_name": "serving_llama8B_tp1_random_128_128",
"server_parameters": {
@@ -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,
File diff suppressed because it is too large Load Diff
@@ -3,8 +3,7 @@
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Append a build artifact line to the Buildkite annotation.
# Usage: annotate-build-artifact.sh <label> <value> <context>
# Usage: annotate-build-artifact.sh <label> <value>
set -e
echo "- **${1}**: \`${2}\`" | \
buildkite-agent annotate --append --style 'info' \
--context "${3:?context is required}"
buildkite-agent annotate --append --style 'info' --context 'release-artifacts'
@@ -1,36 +0,0 @@
#!/bin/bash
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Append the Docker image tag(s) an image-build step pushed to a Buildkite
# annotation, so the built image tags show up on the build page instead of
# being buried in the job logs.
#
# Usage: annotate-image-build.sh <image_tag> [<image_tag> ...]
set -euo pipefail
# buildkite-agent only exists on Buildkite agents; no-op elsewhere so the
# image build scripts stay runnable locally.
if ! command -v buildkite-agent >/dev/null 2>&1; then
echo "buildkite-agent not found; skipping image tag annotation"
exit 0
fi
label="${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' "$content" | \
buildkite-agent annotate --append --style 'info' --context 'docker-images'; then
echo "warning: failed to annotate build with image tags"
fi
-35
View File
@@ -1,35 +0,0 @@
#!/usr/bin/env bash
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Build the macOS arm64 CPU wheel natively on a macOS agent (the `macmini`
# queue) into artifacts/dist/ for upload-nightly-wheels.sh.
set -euo pipefail
# The macmini queue uses persistent checkouts, so refresh tags for setuptools-scm.
git fetch --tags --force origin
# The Rust frontend build needs protoc.
if ! command -v protoc >/dev/null 2>&1; then
brew install protobuf
fi
# upload-nightly-wheels.sh expects exactly one wheel.
rm -rf artifacts/dist
mkdir -p artifacts/dist
export VLLM_TARGET_DEVICE=cpu
export VLLM_REQUIRE_RUST_FRONTEND=1
export MACOSX_DEPLOYMENT_TARGET=11.0
# uv's CPython is universal2; force an arm64-only build and tag so the wheel
# isn't mislabelled universal2 and installed on Intel Macs where import fails.
export ARCHFLAGS="-arch arm64"
export _PYTHON_HOST_PLATFORM="macosx-11.0-arm64"
export CMAKE_BUILD_PARALLEL_LEVEL="${CMAKE_BUILD_PARALLEL_LEVEL:-4}"
uv venv --python 3.12
uv pip install -r requirements/build/cpu.txt --index-strategy unsafe-best-match
uv build --wheel --no-build-isolation -o artifacts/dist
ls -l artifacts/dist/*.whl
@@ -29,11 +29,7 @@ if python3 -c "import torch; assert torch.version.hip" 2>/dev/null; then
TORCH_INDEX_URL=""
fi
else
if [ "${TORCH_NIGHTLY:-0}" = "1" ]; then
TORCH_INDEX_URL="https://download.pytorch.org/whl/nightly/cu130"
else
TORCH_INDEX_URL="https://download.pytorch.org/whl/cu130"
fi
TORCH_INDEX_URL="https://download.pytorch.org/whl/cu130"
fi
echo ">>> Using PyTorch index: ${TORCH_INDEX_URL:-PyPI default}"
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"
+30 -153
View File
@@ -1,178 +1,55 @@
#!/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>.
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)
OUT="${2:-}"
[ -n "$BUILD" ] || die "Could not parse build number from: $1"
;;
[0-9]*)
[ $# -ge 2 ] || usage
JOB=$(echo "$1" | grep -oE '[0-9a-f]{8}-[0-9a-f-]+' | head -n 1)
OUT="${2:-ci-${BUILD}-${JOB:0:8}.log}"
else
if [ $# -lt 2 ]; then usage; fi
BUILD="$1"
JOB="$2"
OUT="${3:-}"
;;
*)
OUT="${3:-ci-${BUILD}-${JOB:0:8}.log}"
fi
if [ -z "$BUILD" ] || [ -z "$JOB" ]; then
echo "Could not parse build number or job UUID from: $1" >&2
usage
;;
esac
fi
COOKIES=$(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"
@@ -45,10 +45,8 @@ $PYTHON .buildkite/scripts/generate-nightly-index.py --version "$SUBPATH" --curr
echo "Uploading indices to $S3_COMMIT_PREFIX"
aws s3 cp --recursive "$INDICES_OUTPUT_DIR/" "$S3_COMMIT_PREFIX"
# copy to /nightly/ only when enabled for a main branch build that is not a PR
if [[ "${UPDATE_NIGHTLY_INDEX:-1}" == "1" && \
"$BUILDKITE_BRANCH" == "main" && \
"$BUILDKITE_PULL_REQUEST" == "false" ]]; then
# copy to /nightly/ only if it is on the main branch and not a PR
if [[ "$BUILDKITE_BRANCH" == "main" && "$BUILDKITE_PULL_REQUEST" == "false" ]]; then
echo "Uploading indices to overwrite /nightly/"
aws s3 cp --recursive "$INDICES_OUTPUT_DIR/" "s3://$BUCKET/nightly/"
fi
@@ -69,7 +67,7 @@ pure_version="${version%%+*}"
echo "Pure version (without variant): $pure_version"
# re-generate and copy to /<pure_version>/ only if it does not have "dev" in the version
if [[ "${UPDATE_VERSION_INDEX:-1}" == "1" && "$version" != *"dev"* ]]; then
if [[ "$version" != *"dev"* ]]; then
echo "Re-generating indices for /$pure_version/"
rm -rf "${INDICES_OUTPUT_DIR:?}"
mkdir -p "$INDICES_OUTPUT_DIR"
+18 -596
View File
@@ -1,7 +1,7 @@
#!/bin/bash
# This script runs ROCm tests either directly in a native CI pod or inside the
# corresponding Docker container. Multi-node tests continue to use Docker.
# This script runs tests inside the corresponding ROCm docker container.
# It handles both single-node and multi-node test configurations.
#
# Multi-node detection: Instead of matching on fragile group names, we detect
# multi-node jobs structurally by looking for the bracket command syntax
@@ -28,38 +28,8 @@
###############################################################################
set -o pipefail
: "${BUILDKIT_PROGRESS:=plain}"
: "${TERM:=xterm-256color}"
: "${FORCE_COLOR:=1}"
: "${CLICOLOR_FORCE:=1}"
: "${PY_COLORS:=1}"
: "${ROCM_DOCKER_TTY:=1}"
: "${PYTHONFAULTHANDLER:=1}"
: "${PYTEST_TIMEOUT:=2400}"
if [[ " ${PYTEST_ADDOPTS:-} " != *" --color"* ]]; then
PYTEST_ADDOPTS="${PYTEST_ADDOPTS:+${PYTEST_ADDOPTS} }--color=yes"
fi
if [[ " ${PYTEST_ADDOPTS:-} " != *" --durations="* ]]; then
PYTEST_ADDOPTS="${PYTEST_ADDOPTS:+${PYTEST_ADDOPTS} }--durations=25"
fi
if [[ " ${PYTEST_ADDOPTS:-} " != *" --durations-min="* ]]; then
PYTEST_ADDOPTS="${PYTEST_ADDOPTS:+${PYTEST_ADDOPTS} }--durations-min=1.0"
fi
# Dump stacks after 25 minutes, then stop an individual test after 40 minutes.
if [[ " ${PYTEST_ADDOPTS:-} " != *" faulthandler_timeout="* ]]; then
PYTEST_ADDOPTS="${PYTEST_ADDOPTS:+${PYTEST_ADDOPTS} }-o faulthandler_timeout=1500"
fi
if [[ " ${PYTEST_ADDOPTS:-} " != *" --timeout-method="* &&
" ${PYTEST_ADDOPTS:-} " != *" --timeout-method "* ]]; then
PYTEST_ADDOPTS="${PYTEST_ADDOPTS:+${PYTEST_ADDOPTS} }--timeout-method=thread"
fi
export BUILDKIT_PROGRESS TERM FORCE_COLOR CLICOLOR_FORCE PY_COLORS PYTEST_ADDOPTS PYTEST_TIMEOUT ROCM_DOCKER_TTY
export PYTHONFAULTHANDLER
# Export Python path for commands that run directly on the host. Containerized
# tests set this to /vllm-workspace below so spawned Python processes do not
# depend on their current working directory.
export PYTHONPATH="${PYTHONPATH:-..}"
# Export Python path
export PYTHONPATH=".."
###############################################################################
# Helper Functions
@@ -70,28 +40,6 @@ report_docker_usage() {
docker system df || true
}
clear_ci_orchestration_env() {
unset -v \
VLLM_TEST_GROUP_NAME \
VLLM_CI_REQUIRE_PERSISTENT_HF_CACHE \
VLLM_CI_ARTIFACT_STEP \
VLLM_TEST_CACHE \
VLLM_CI_EXECUTION_MODE \
VLLM_CI_WORKSPACE \
VLLM_CI_REQUIRE_WORKSPACE_MOUNT \
VLLM_TEST_COMMANDS \
VLLM_CI_BRANCH \
VLLM_CI_BASE_IMAGE \
VLLM_CI_FALLBACK_IMAGE \
VLLM_CI_DOCKER_DISABLED \
VLLM_CI_ARTIFACT_GLOB \
VLLM_CI_ARTIFACT_CHECKSUM_GLOB \
VLLM_CI_EXPECTED_GPU_COUNT \
VLLM_CI_USE_ARTIFACTS \
VLLM_CI_RESULTS_ROOT \
VLLM_ALLOW_DEPRECATED_BEAM_SEARCH
}
cleanup_network() {
local max_nodes=${NUM_NODES:-2}
for node in $(seq 0 $((max_nodes - 1))); do
@@ -104,383 +52,6 @@ cleanup_network() {
fi
}
prepare_artifact_image() {
if [[ "${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 "${wheel_dir}" \
--exclude='*.whl' \
--exclude='.vllm-ci-artifact' \
--exclude='./.vllm-ci-artifact' \
-cf - . \
| tar -C "${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_native_runtime() {
[[ "${AMD_CI_RUNTIME:-}" == "native" || "${NATIVE_CI:-}" == "true" ]]
}
validate_native_workspace() {
local workspace_dir="${VLLM_CI_WORKSPACE:-/vllm-workspace}"
local workspace_real=""
local checkout_real=""
local workspace_mount=""
mkdir -p "${workspace_dir}" || return 1
workspace_real=$(readlink -m "${workspace_dir}") || return 1
if [[ -n "${BUILDKITE_BUILD_CHECKOUT_PATH:-}" ]]; then
checkout_real=$(readlink -m "${BUILDKITE_BUILD_CHECKOUT_PATH}") || return 1
if [[ "${checkout_real}" == "${workspace_real}" \
|| "${checkout_real}" == "${workspace_real}/"* \
|| "${workspace_real}" == "${checkout_real}/"* ]]; then
echo "Refusing to replace ${workspace_real}; it overlaps the Buildkite checkout ${checkout_real}" >&2
return 1
fi
fi
if [[ "${VLLM_CI_REQUIRE_WORKSPACE_MOUNT:-1}" == "1" ]]; then
if ! command -v findmnt >/dev/null 2>&1; then
echo "findmnt is required to verify the native workspace mount" >&2
return 1
fi
workspace_mount=$(findmnt -n -T "${workspace_real}" -o TARGET 2>/dev/null || true)
if [[ "$(readlink -m "${workspace_mount:-/}")" != "${workspace_real}" ]]; then
echo "Native CI requires a dedicated volume mounted at ${workspace_real}" >&2
return 1
fi
fi
}
prepare_native_workspace() {
if [[ "${VLLM_CI_USE_ARTIFACTS:-0}" != "1" ]]; then
echo "Native CI requires VLLM_CI_USE_ARTIFACTS=1"
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
validate_native_workspace || return 1
local artifact_glob="${VLLM_CI_ARTIFACT_GLOB:-artifacts/vllm-rocm-install/vllm-rocm-install.tar.gz}"
local artifact_checksum_glob="${VLLM_CI_ARTIFACT_CHECKSUM_GLOB:-${artifact_glob}.sha256}"
local artifact_step="${VLLM_CI_ARTIFACT_STEP:-image-build-amd}"
local archive=""
local checksum=""
local download_dir=""
local metadata_dir=""
local recorded_base=""
local recorded_commit=""
local recorded_wheel=""
local workspace_dir="${VLLM_CI_WORKSPACE:-/vllm-workspace}"
local wheel_dir=""
local attempt=0
local attempt_dir=""
local -a archives=()
local -a checksums=()
local -a wheels=()
artifact_work_dir=$(mktemp -d -t vllm-rocm-artifact.XXXXXX) || return 1
wheel_dir="${artifact_work_dir}/wheels"
mkdir -p "${wheel_dir}" || return 1
echo "--- Downloading ROCm wheel artifact from ${artifact_step} (native in-pod)"
for attempt in 1 2 3; do
attempt_dir="${artifact_work_dir}/download-${attempt}"
rm -rf "${attempt_dir}" || return 1
mkdir -p "${attempt_dir}" || return 1
if buildkite-agent artifact download \
"${artifact_glob}" "${attempt_dir}" --step "${artifact_step}" \
&& buildkite-agent artifact download \
"${artifact_checksum_glob}" "${attempt_dir}" --step "${artifact_step}"; then
download_dir="${attempt_dir}"
break
fi
echo "Artifact download attempt ${attempt}/3 failed"
if [[ "${attempt}" -lt 3 ]]; then
sleep $((attempt * 2))
fi
done
if [[ -z "${download_dir}" ]]; then
echo "Failed to download ${artifact_glob} and ${artifact_checksum_glob} from ${artifact_step}"
return 1
fi
mapfile -t archives < <(
find "${download_dir}" -name "vllm-rocm-install.tar.gz" -type f -print
)
mapfile -t checksums < <(
find "${download_dir}" -name "vllm-rocm-install.tar.gz.sha256" -type f -print
)
if [[ ${#archives[@]} -ne 1 || ${#checksums[@]} -ne 1 ]]; then
echo "Expected exactly one ROCm archive and checksum; found ${#archives[@]} archive(s) and ${#checksums[@]} checksum(s)" >&2
return 1
fi
archive="${archives[0]}"
checksum="${checksums[0]}"
if [[ "$(dirname "${archive}")" != "$(dirname "${checksum}")" ]]; then
echo "ROCm archive and checksum were downloaded to different directories" >&2
return 1
fi
(
cd "$(dirname "${archive}")"
sha256sum -c "$(basename "${checksum}")"
) || return 1
tar --no-same-owner -xzf "${archive}" -C "${wheel_dir}" || return 1
mapfile -t wheels < <(
find "${wheel_dir}" -maxdepth 1 -type f -name '*.whl' -print
)
if [[ ${#wheels[@]} -ne 1 ]]; then
echo "ROCm artifact must contain exactly one top-level wheel; found ${#wheels[@]}" >&2
return 1
fi
metadata_dir="${wheel_dir}/.vllm-ci-artifact"
for metadata_file in commit.txt native-base-image.txt wheel-filename.txt; do
if [[ ! -s "${metadata_dir}/${metadata_file}" ]]; then
echo "ROCm artifact metadata is missing ${metadata_file}" >&2
return 1
fi
done
for metadata_file in ci-base-image.txt fallback-image.txt; do
if [[ ! -f "${metadata_dir}/${metadata_file}" ]]; then
echo "ROCm artifact metadata is missing ${metadata_file}" >&2
return 1
fi
done
recorded_commit=$(tr -d '\r\n' < "${metadata_dir}/commit.txt")
recorded_base=$(tr -d '\r\n' < "${metadata_dir}/native-base-image.txt")
recorded_wheel=$(tr -d '\r\n' < "${metadata_dir}/wheel-filename.txt")
if [[ -z "${BUILDKITE_COMMIT:-}" || "${recorded_commit}" != "${BUILDKITE_COMMIT}" ]]; then
echo "ROCm artifact commit ${recorded_commit} does not match ${BUILDKITE_COMMIT:-unset}" >&2
return 1
fi
if [[ -z "${VLLM_CI_BASE_IMAGE:-}" || "${recorded_base}" != "${VLLM_CI_BASE_IMAGE}" ]]; then
echo "ROCm artifact base ${recorded_base} does not match ${VLLM_CI_BASE_IMAGE:-unset}" >&2
return 1
fi
if [[ "${recorded_wheel}" != "$(basename "${wheels[0]}")" ]]; then
echo "ROCm artifact wheel manifest ${recorded_wheel} does not match $(basename "${wheels[0]}")" >&2
return 1
fi
for required_dir in tests .buildkite requirements; do
if [[ ! -d "${wheel_dir}/${required_dir}" ]]; then
echo "ROCm wheel artifact did not contain ${required_dir}/" >&2
return 1
fi
done
echo "--- Installing ROCm wheel into pod environment"
python3 -m pip install --no-deps --force-reinstall "${wheels[0]}" || return 1
echo "--- Preparing ${workspace_dir} from artifact"
find "${workspace_dir}" -mindepth 1 -maxdepth 1 -exec rm -rf -- {} + || return 1
tar -C "${wheel_dir}" \
--exclude='*.whl' \
--exclude='.vllm-ci-artifact' \
--exclude='./.vllm-ci-artifact' \
-cf - . | tar --no-same-owner -C "${workspace_dir}" -xf - || return 1
if [[ ! -d "${workspace_dir}/tests" ]]; then
echo "Failed to stage the native test workspace" >&2
return 1
fi
return 0
}
initialize_native_environment() {
local job_id="${BUILDKITE_JOB_ID:-${BUILDKITE_PARALLEL_JOB:-local}}"
local job_id_suffix=""
local native_root=""
local hf_fstype=""
local hf_mount=""
if [[ "$(id -u)" -ne 0 ]]; then
echo "Native ROCm CI currently requires the ci_base container to run as root" >&2
return 1
fi
job_id="${job_id//[^A-Za-z0-9_.-]/_}"
job_id_suffix="${job_id##*-}"
job_id_suffix="${job_id_suffix:0:12}"
native_root="/tmp/vllm-native-${job_id}"
TMPDIR="/tmp/vllm-${job_id_suffix}/tmp"
VLLM_RPC_BASE_PATH="/tmp"
TORCHINDUCTOR_CACHE_DIR="${native_root}/cache/torchinductor"
TRITON_CACHE_DIR="${native_root}/cache/triton"
VLLM_CACHE_ROOT="${native_root}/cache/vllm"
XDG_CACHE_HOME="${native_root}/cache/xdg"
: "${HF_HOME:=/home/buildkite-agent/huggingface}"
# datasets uses POSIX locks that are unsupported by the shared HF NFS cache.
# Keep processed datasets job-local while retaining the persistent Hub cache.
HF_DATASETS_CACHE="${native_root}/cache/huggingface/datasets"
: "${HF_HUB_DOWNLOAD_TIMEOUT:=300}"
: "${HF_HUB_ETAG_TIMEOUT:=60}"
export TMPDIR VLLM_RPC_BASE_PATH
export TORCHINDUCTOR_CACHE_DIR TRITON_CACHE_DIR VLLM_CACHE_ROOT XDG_CACHE_HOME
export HF_HOME HF_DATASETS_CACHE HF_HUB_DOWNLOAD_TIMEOUT HF_HUB_ETAG_TIMEOUT
export PYTORCH_ROCM_ARCH=""
mkdir -p "${TMPDIR}" \
"${TORCHINDUCTOR_CACHE_DIR}" \
"${TRITON_CACHE_DIR}" \
"${VLLM_CACHE_ROOT}" \
"${XDG_CACHE_HOME}" \
"${HF_HOME}" \
"${HF_DATASETS_CACHE}" || return 1
echo "Native compile caches: VLLM_CACHE_ROOT=${VLLM_CACHE_ROOT} TORCHINDUCTOR_CACHE_DIR=${TORCHINDUCTOR_CACHE_DIR}"
if [[ "${VLLM_CI_REQUIRE_PERSISTENT_HF_CACHE:-0}" == "1" ]]; then
if ! command -v findmnt >/dev/null 2>&1; then
echo "findmnt is required to verify the native Hugging Face cache mount" >&2
return 1
fi
hf_mount=$(findmnt -n -T "${HF_HOME}" -o TARGET 2>/dev/null || true)
if [[ -z "${hf_mount}" || "${hf_mount}" == "/" ]]; then
echo "Native CI requires a persistent volume mounted at or above ${HF_HOME}" >&2
return 1
fi
fi
if command -v findmnt >/dev/null 2>&1; then
hf_fstype=$(findmnt -n -T "${HF_HOME}" -o FSTYPE 2>/dev/null || true)
fi
if [[ "${hf_fstype}" == nfs || "${hf_fstype}" == nfs4 ]]; then
# Keep hf-xet state local and avoid vectored writes on shared NFS.
export HF_XET_CACHE="${native_root}/cache/hf-xet"
export HF_XET_HIGH_PERFORMANCE=0
export HF_XET_RECONSTRUCTION_USE_VECTORED_WRITE=0
mkdir -p "${HF_XET_CACHE}" || return 1
echo "Configured hf-xet for shared ${hf_fstype} cache at ${HF_HOME}"
fi
}
run_native_preflight() {
local expected_gpus="${VLLM_CI_EXPECTED_GPU_COUNT:-1}"
if [[ ! "${expected_gpus}" =~ ^[0-9]+$ ]]; then
echo "Invalid VLLM_CI_EXPECTED_GPU_COUNT=${expected_gpus}" >&2
return 1
fi
python3 -c "import encodings, importlib.metadata as im, importlib.util as iu; [im.version(d) for d in ('transformers', 'torch', 'ray', 'sympy', 'markupsafe', 'vllm')]; missing=[m for m in ('torch.utils.model_zoo', 'transformers.models.nomic_bert', 'ray.dag', 'sympy.physics', 'markupsafe._speedups') if iu.find_spec(m) is None]; assert not missing, missing" || return 1
if [[ "${expected_gpus}" == "0" ]]; then
echo "Native CPU-only AMD job: skipping ROCm device validation"
return 0
fi
echo "--- ROCm info"
rocminfo || return 1
VLLM_CI_EXPECTED_GPU_COUNT="${expected_gpus}" python3 - <<'PY'
import os
import torch
expected = int(os.environ["VLLM_CI_EXPECTED_GPU_COUNT"])
assert torch.version.hip, "PyTorch is not a ROCm build"
assert torch.cuda.is_available(), "ROCm GPU is not available to PyTorch"
actual = torch.cuda.device_count()
assert actual == expected, f"Expected {expected} ROCm GPU(s), found {actual}"
PY
}
is_multi_node() {
local cmds="$1"
# Primary signal: NUM_NODES environment variable set by the pipeline
@@ -663,58 +234,7 @@ re_quote_pytest_markers() {
# Main
###############################################################################
if is_native_runtime; then
echo "--- Native in-pod ROCm CI (AMD_CI_RUNTIME=${AMD_CI_RUNTIME:-unset}, NATIVE_CI=${NATIVE_CI:-unset})"
artifact_work_dir=""
cleanup_native_workspace() {
if [[ -n "${artifact_work_dir}" ]]; then
rm -rf "${artifact_work_dir}"
fi
}
trap cleanup_native_workspace EXIT
if [[ -n "${VLLM_TEST_COMMANDS:-}" ]]; then
commands="${VLLM_TEST_COMMANDS}"
commands_source="env"
else
commands="$*"
commands_source="argv"
if [[ -z "$commands" ]]; then
echo "Error: No test commands provided for native CI." >&2
exit 1
fi
fi
if [[ "$commands_source" == "argv" ]]; then
commands=$(re_quote_pytest_markers "$commands")
fi
if is_multi_node "$commands"; then
echo "Native CI does not support multi-node jobs yet."
exit 1
fi
if ! initialize_native_environment; then
echo "Failed to initialize the native test environment"
exit 1
fi
if ! prepare_native_workspace; then
echo "Failed to prepare native test workspace"
exit 1
fi
export PYTHONPATH="${VLLM_CI_WORKSPACE:-/vllm-workspace}"
echo "Native test commands: $commands"
run_native_preflight || exit 1
# Keep AMD CI orchestration variables out of vLLM's runtime environment.
clear_ci_orchestration_env
/bin/bash -o pipefail -c "${commands}"
handle_pytest_exit "$?"
fi
# --- GPU initialization for legacy Docker execution ---
# --- GPU initialization ---
echo "--- ROCm info"
rocminfo
@@ -723,44 +243,22 @@ report_docker_usage
# --- Pull test image ---
echo "--- Pulling container"
image_name="${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"
@@ -769,14 +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
@@ -816,36 +306,7 @@ fi
echo "Final commands: $commands"
standalone_merge_base_env=()
if [[ "$commands" == *python_only_compile.sh* ]]; then
# The ROCm test image often ships /vllm-workspace without .git. Resolve the
# wheels.vllm.ai commit from the agent checkout for this test only.
vllm_standalone_merge_base=""
checkout="${BUILDKITE_BUILD_CHECKOUT_PATH:-}"
if [[ -z "${checkout}" || ! -d "${checkout}" ]]; then
checkout="."
fi
# Pass safe.directory per-command because Buildkite uses mixed user IDs.
if git -c "safe.directory=${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 CI_STANDALONE_MERGE_BASE into container: ${vllm_standalone_merge_base}"
standalone_merge_base_env=(-e "CI_STANDALONE_MERGE_BASE=${vllm_standalone_merge_base}")
fi
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=$(getent group render | cut -d: -f3)
@@ -867,7 +328,6 @@ else
fi
# --- Route: multi-node vs single-node ---
clear_ci_orchestration_env
if is_multi_node "$commands"; then
echo "--- Multi-node job detected"
export DCKR_VER=$(docker --version | sed 's/Docker version \(.*\), build .*/\1/')
@@ -914,64 +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=${HF_HUB_ETAG_TIMEOUT}" \
-e AWS_ACCESS_KEY_ID \
-e AWS_SECRET_ACCESS_KEY \
-e BUILDKITE_PARALLEL_JOB \
-e BUILDKITE_PARALLEL_JOB_COUNT \
-e TERM \
-e FORCE_COLOR \
-e CLICOLOR_FORCE \
-e PY_COLORS \
-e PYTHONFAULTHANDLER \
-e PYTEST_ADDOPTS \
-e PYTEST_TIMEOUT \
-v "${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=" \
"${standalone_merge_base_env[@]}" \
--name "${container_name}" \
"${image_name}" \
/bin/bash -c "${CONTAINER_PREFLIGHT} && ${commands}"
/bin/bash -c "${commands}"
exit_code=$?
handle_pytest_exit "$exit_code"
@@ -1,11 +1,10 @@
#!/bin/bash
set -euox pipefail
export VLLM_CPU_KVCACHE_SPACE=1
export VLLM_CPU_KVCACHE_SPACE=1
export VLLM_CPU_CI_ENV=1
# Skip torch.compile via vLLM's --enforce-eager flag (passed below) instead of
# TORCH_COMPILE_DISABLE=1, which torch 2.12 no longer treats as a silent no-op
# when callers specify fullgraph=True.
# Reduce sub-processes for acceleration
export TORCH_COMPILE_DISABLE=1
export VLLM_ENABLE_V1_MULTIPROCESSING=0
SDE_ARCHIVE="sde-external-10.7.0-2026-02-18-lin.tar.xz"
@@ -50,15 +49,15 @@ wait_for_pid_and_check_log() {
}
# Test Sky Lake (AVX512F)
./sde/sde64 -skl -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 --enforce-eager > test_0.log 2>&1 &
./sde/sde64 -skl -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 > test_0.log 2>&1 &
PID_TEST_0=$!
# Test Cascade Lake (AVX512F + VNNI)
./sde/sde64 -clx -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 --enforce-eager > test_1.log 2>&1 &
./sde/sde64 -clx -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 > test_1.log 2>&1 &
PID_TEST_1=$!
# Test Cooper Lake (AVX512F + VNNI + BF16)
./sde/sde64 -cpx -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 --enforce-eager > test_2.log 2>&1 &
./sde/sde64 -cpx -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 > test_2.log 2>&1 &
PID_TEST_2=$!
wait_for_pid_and_check_log $PID_TEST_0 test_0.log
@@ -8,7 +8,7 @@ set -ex
CORE_RANGE=${CORE_RANGE:-0-31}
OMP_CORE_RANGE=${OMP_CORE_RANGE:-0-31}
export CMAKE_BUILD_PARALLEL_LEVEL=32
export CMAKE_BUILD_PARALLEL_LEVEL=16
# Setup cleanup
remove_docker_container() {
@@ -37,12 +37,7 @@ function cpu_tests() {
pytest -x -v -s tests/kernels/test_onednn.py
pytest -x -v -s tests/kernels/attention/test_cpu_attn.py
pytest -x -v -s tests/kernels/core/test_cpu_activation.py
pytest -x -v -s tests/kernels/moe/test_cpu_fused_moe.py
pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py
pytest -x -v -s tests/kernels/moe/test_cpu_int4_moe.py
pytest -x -v -s tests/kernels/mamba/test_cpu_short_conv.py
pytest -x -v -s tests/kernels/mamba/test_causal_conv1d.py
pytest -x -v -s tests/kernels/mamba/test_mamba_ssm.py"
pytest -x -v -s tests/kernels/moe/test_moe.py -k test_cpu_fused_moe_basic"
# skip tests requiring model downloads if HF_TOKEN is not set
# due to rate-limits
@@ -66,6 +61,7 @@ function cpu_tests() {
set -e
pytest -x -v -s tests/quantization/test_compressed_tensors.py::test_compressed_tensors_w8a8_logprobs"
# basic online serving
docker exec cpu-test bash -c '
set -e
@@ -99,4 +95,3 @@ function cpu_tests() {
# All of CPU tests are expected to be finished less than 40 mins.
export -f cpu_tests
timeout 2h bash -c cpu_tests
+1 -40
View File
@@ -7,49 +7,10 @@ set -euox pipefail
# allow to bind to different cores
CORE_RANGE=${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 "$IMAGE_NAME" --target vllm-test -f docker/Dockerfile.cpu .
@@ -1,53 +0,0 @@
#!/bin/bash
set -euo pipefail
test_suite="${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/e2e/general/test_correctness_sliding_window.py --deselect="tests/v1/e2e/general/test_correctness_sliding_window.py::test_sliding_window_retrieval[True-1-5-google/gemma-3-1b-it]"
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 \
@@ -360,12 +368,10 @@ 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}" \
"${IMAGE}" \
@@ -85,7 +85,7 @@ RUN pip config set global.index-url http://cache-service-vllm.nginx-pypi-cache.s
# Install for pytest to make the docker build cache layer always valid
RUN --mount=type=cache,target=/root/.cache/pip \
pip install pytest>=6.0 'modelscope<1.38'
pip install pytest>=6.0 modelscope
WORKDIR /workspace/vllm
@@ -1,44 +0,0 @@
#!/bin/bash
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
set -euo pipefail
if python3 -c "import torch; raise SystemExit(0 if torch.version.hip is not None else 1)"; then
uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
exit 0
fi
REQUIREMENTS_FILE="${KV_CONNECTORS_REQUIREMENTS:-/vllm-workspace/requirements/kv_connectors.txt}"
uv pip install --system -r "${REQUIREMENTS_FILE}"
NIXL_METADATA=$(python3 - <<'PY'
import importlib.metadata as metadata
import torch
cuda_version = torch.version.cuda
if cuda_version is None:
raise SystemExit("torch.version.cuda is not set")
print(cuda_version.split(".", 1)[0], metadata.version("nixl"))
PY
)
read -r CUDA_MAJOR NIXL_VERSION <<<"${NIXL_METADATA}"
# nixl>=1.1.0 can install multiple CUDA wheel variants. Keep only the variant
# matching this CI image so nixl_ep_cpp links against the available libcudart.
uv pip uninstall --system nixl-cu12 nixl-cu13 2>/dev/null || true
uv pip install --system --no-deps "nixl-cu${CUDA_MAJOR}==${NIXL_VERSION}"
python3 - <<'PY'
import importlib.metadata as metadata
for package_name in ("nixl", "nixl-cu12", "nixl-cu13"):
try:
version = metadata.version(package_name)
except metadata.PackageNotFoundError:
version = "not installed"
print(f"{package_name}: {version}")
PY
@@ -130,22 +130,6 @@ docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${ROCM_BASE_CACHE_KEY}-rocm
docker push vllm/vllm-openai-rocm:latest-base
docker push vllm/vllm-openai-rocm:v${RELEASE_VERSION}-base
# ---- XPU ----
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-xpu
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-xpu vllm/vllm-openai-xpu:latest-x86_64
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-xpu vllm/vllm-openai-xpu:v${RELEASE_VERSION}-x86_64
docker push vllm/vllm-openai-xpu:latest-x86_64
docker push vllm/vllm-openai-xpu:v${RELEASE_VERSION}-x86_64
docker manifest rm vllm/vllm-openai-xpu:latest || true
docker manifest rm vllm/vllm-openai-xpu:v${RELEASE_VERSION} || true
docker manifest create vllm/vllm-openai-xpu:latest vllm/vllm-openai-xpu:latest-x86_64 --amend
docker manifest create vllm/vllm-openai-xpu:v${RELEASE_VERSION} vllm/vllm-openai-xpu:v${RELEASE_VERSION}-x86_64 --amend
docker manifest push vllm/vllm-openai-xpu:latest
docker manifest push vllm/vllm-openai-xpu:v${RELEASE_VERSION}
# ---- CPU ----
# CPU images are behind separate block steps and may not have been built.
# All-or-nothing: inspect both arches first, then either publish everything
-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: ${CI_BASE_PUSH_STABLE_TAG}"
fi
bash .buildkite/scripts/ci-bake-rocm.sh ci-base-rocm-ci-with-deps
}
main "$@"
@@ -1,68 +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_ci_base_if_present() {
local ci_base_image=""
ci_base_image="$(metadata_get rocm-ci-base-image)"
if [[ -z "${ci_base_image}" ]]; then
return 1
fi
export CI_BASE_IMAGE="${ci_base_image}"
echo "Using ROCm ci_base image selected by the preceding build step: ${CI_BASE_IMAGE}"
}
use_refreshed_base_if_present() {
local base_refreshed=""
base_refreshed="$(metadata_get rocm-base-refresh)"
if [[ "${base_refreshed}" != "1" ]]; then
return 1
fi
export BASE_IMAGE
export IMAGE_TAG_LATEST
BASE_IMAGE="$(metadata_get rocm-base-image)"
IMAGE_TAG_LATEST="$(metadata_get rocm-ci-image-descriptive)"
echo "Using refreshed ROCm base image for test image: ${BASE_IMAGE}"
if [[ -n "${IMAGE_TAG_LATEST}" ]]; then
echo "Also tagging full ROCm CI image as: ${IMAGE_TAG_LATEST}"
fi
return 0
}
main() {
local base_refreshed=0
use_ci_base_if_present || true
if use_refreshed_base_if_present; then
base_refreshed=1
fi
if [[ "${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="${CARGO_TERM_COLOR:-always}"
@@ -21,20 +16,16 @@ export CARGO_HOME="${CARGO_HOME:-$HOME/.cargo}"
export RUSTUP_HOME="${RUSTUP_HOME:-$HOME/.rustup}"
export PATH="$CARGO_HOME/bin:$PATH"
PROTOC_VERSION="${PROTOC_VERSION:-31.1}"
CARGO_BINSTALL_VERSION="${CARGO_BINSTALL_VERSION:-1.20.1}"
UV_VERSION="${UV_VERSION:-0.11.28}"
PYO3_PYTHON_VERSION="${PYO3_PYTHON_VERSION:-3.12}"
CARGO_SORT_VERSION_REQ="${CARGO_SORT_VERSION_REQ:-2}"
CARGO_DENY_VERSION_REQ="${CARGO_DENY_VERSION_REQ:-0.20}"
CARGO_NEXTEST_VERSION_REQ="${CARGO_NEXTEST_VERSION_REQ:-0.9}"
log_section() {
echo "--- $*"
}
install_protoc() {
if command -v protoc >/dev/null 2>&1; then
return
fi
local version="${PROTOC_VERSION:-31.1}"
local arch
case "$(uname -m)" in
x86_64)
@@ -49,17 +40,16 @@ install_protoc() {
;;
esac
local url="https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOC_VERSION}/protoc-${PROTOC_VERSION}-linux-${arch}.zip"
local url="https://github.com/protocolbuffers/protobuf/releases/download/v${version}/protoc-${version}-linux-${arch}.zip"
local tmp_dir
tmp_dir="$(mktemp -d)"
log_section "Installing protoc ${PROTOC_VERSION}"
log_section "Installing protoc ${version}"
curl -L --proto '=https' --tlsv1.2 -sSf "$url" -o "$tmp_dir/protoc.zip"
mkdir -p "$CARGO_HOME/bin"
unzip -q "$tmp_dir/protoc.zip" bin/protoc 'include/*' -d "$CARGO_HOME"
chmod +x "$CARGO_HOME/bin/protoc"
rm -rf "$tmp_dir"
protoc --version
}
rust_toolchain() {
@@ -80,72 +70,48 @@ install_rust_toolchain() {
}
install_cargo_binstall() {
log_section "Installing cargo-binstall ${CARGO_BINSTALL_VERSION}"
if command -v cargo-binstall >/dev/null 2>&1; then
return
fi
log_section "Installing cargo-binstall"
curl -L --proto '=https' --tlsv1.2 -sSf \
"https://raw.githubusercontent.com/cargo-bins/cargo-binstall/v${CARGO_BINSTALL_VERSION}/install-from-binstall-release.sh" \
| env BINSTALL_VERSION="$CARGO_BINSTALL_VERSION" bash
cargo-binstall -V
https://raw.githubusercontent.com/cargo-bins/cargo-binstall/main/install-from-binstall-release.sh \
| bash
}
install_cargo_sort() {
log_section "Installing cargo-sort ${CARGO_SORT_VERSION_REQ}"
cargo binstall --no-confirm --force "cargo-sort@${CARGO_SORT_VERSION_REQ}"
}
if command -v cargo-sort >/dev/null 2>&1; then
return
fi
install_cargo_deny() {
log_section "Installing cargo-deny ${CARGO_DENY_VERSION_REQ}"
cargo binstall --no-confirm --force "cargo-deny@${CARGO_DENY_VERSION_REQ}"
log_section "Installing cargo-sort"
install_cargo_binstall
cargo binstall --no-confirm cargo-sort
}
install_cargo_nextest() {
log_section "Installing cargo-nextest ${CARGO_NEXTEST_VERSION_REQ}"
cargo binstall \
--no-confirm \
--force \
--secure \
"cargo-nextest@${CARGO_NEXTEST_VERSION_REQ}"
if command -v cargo-nextest >/dev/null 2>&1; then
return
fi
log_section "Installing cargo-nextest"
install_cargo_binstall
cargo binstall --no-confirm --secure cargo-nextest
}
install_uv() {
log_section "Installing uv ${UV_VERSION}"
curl -L --proto '=https' --tlsv1.2 -sSf \
"https://github.com/astral-sh/uv/releases/download/${UV_VERSION}/uv-installer.sh" \
if command -v uv >/dev/null 2>&1; then
return
fi
log_section "Installing uv"
curl -LsSf --proto '=https' --tlsv1.2 https://astral.sh/uv/install.sh \
| env UV_INSTALL_DIR="$CARGO_HOME/bin" sh
uv --version
}
setup_pyo3_python() {
log_section "Installing Python ${PYO3_PYTHON_VERSION} for PyO3 tests"
uv python install "$PYO3_PYTHON_VERSION"
PYO3_PYTHON="$(uv python find \
--managed-python \
--no-project \
--resolve-links \
"$PYO3_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_binstall
install_cargo_sort
install_cargo_deny
log_section "Checking Rust formatting"
cargo fmt --manifest-path rust/Cargo.toml --all -- --check
@@ -153,13 +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 \
@@ -173,8 +132,6 @@ run_style_clippy() {
run_tests() {
install_uv
setup_pyo3_python
install_cargo_binstall
install_cargo_nextest
log_section "Running cargo nextest"
@@ -49,7 +49,6 @@ for BACK in "${BACKENDS[@]}"; do
--data-parallel-size 2 \
--enable-expert-parallel \
--enable-eplb \
--eplb-config '{"use_async": false}' \
--trust-remote-code \
--max-model-len 2048 \
--all2all-backend "$BACK" \
@@ -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
@@ -48,7 +48,7 @@ for BACK in "${BACKENDS[@]}"; do
--enforce-eager \
--enable-eplb \
--all2all-backend "$BACK" \
--eplb-config '{"window_size":10, "step_interval":100, "num_redundant_experts":0, "log_balancedness":true, "use_async":false}' \
--eplb-config '{"window_size":10, "step_interval":100, "num_redundant_experts":0, "log_balancedness":true}' \
--tensor-parallel-size "${TENSOR_PARALLEL_SIZE}" \
--data-parallel-size "${DATA_PARALLEL_SIZE}" \
--enable-expert-parallel \
@@ -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 "${SERVER_PID}" 2>/dev/null; then
@@ -70,7 +70,7 @@ echo "============================================"
# ---- Install bfcl-eval if missing ----
if ! python3 -c "import bfcl_eval" 2>/dev/null; then
echo "Installing bfcl-eval..."
uv pip install "bfcl-eval>=2025.10.20.1,<2026"
pip install "bfcl-eval>=2025.10.20.1,<2026"
fi
# ---- Cleanup handler ----
@@ -100,7 +100,7 @@ SERVE_ARGS=(
--tensor-parallel-size "$TP_SIZE"
--max-model-len "$MAX_MODEL_LEN"
--enforce-eager
--enable-prefix-caching
--no-enable-prefix-caching
)
# Append reasoning parser if specified
+11 -32
View File
@@ -23,7 +23,6 @@ NC='\033[0m' # No Color
# Default configuration
PIPELINE="ci"
DRY_RUN=true
TORCH_NIGHTLY=false
usage() {
cat <<EOF
@@ -35,14 +34,12 @@ Sets RUN_ALL=1 and NIGHTLY=1 environment variables.
SAFETY: Dry-run by default. Use --execute to actually trigger a build.
Options:
--execute Actually trigger the build (default: dry-run)
--pipeline Buildkite pipeline slug (default: ${PIPELINE})
--commit Override commit SHA (default: current HEAD)
--branch Override branch name (default: current branch)
--message Custom build message (default: auto-generated)
--torch-nightly Also build and run the full suite against torch nightly
(sets TORCH_NIGHTLY=1)
--help Show this help message
--execute Actually trigger the build (default: dry-run)
--pipeline Buildkite pipeline slug (default: ${PIPELINE})
--commit Override commit SHA (default: current HEAD)
--branch Override branch name (default: current branch)
--message Custom build message (default: auto-generated)
--help Show this help message
Prerequisites:
- bk CLI installed: brew tap buildkite/buildkite && brew install buildkite/buildkite/bk
@@ -52,7 +49,6 @@ Examples:
$(basename "$0") # Dry-run, show what would happen
$(basename "$0") --execute # Actually trigger the build
$(basename "$0") --pipeline ci-shadow # Dry-run with different pipeline
$(basename "$0") --torch-nightly # Dry-run a full torch-nightly run
EOF
exit 1
}
@@ -100,10 +96,6 @@ while [[ $# -gt 0 ]]; do
MESSAGE="$2"
shift 2
;;
--torch-nightly)
TORCH_NIGHTLY=true
shift
;;
--help|-h)
usage
;;
@@ -179,17 +171,11 @@ if [[ $(echo "$REMOTE_BRANCHES" | wc -l) -gt 5 ]]; then
fi
echo ""
# Environment variables passed to the build.
BUILD_ENV=("RUN_ALL=1" "NIGHTLY=1")
if [[ "$TORCH_NIGHTLY" == true ]]; then
BUILD_ENV+=("TORCH_NIGHTLY=1")
fi
log_info "Pipeline: ${PIPELINE}"
log_info "Branch: ${BRANCH}"
log_info "Commit: ${COMMIT}"
log_info "Message: ${MESSAGE}"
log_info "Environment: ${BUILD_ENV[*]}"
log_info "Environment: RUN_ALL=1, NIGHTLY=1"
echo ""
# Build the command
@@ -201,10 +187,9 @@ CMD=(bk build create
--commit "${COMMIT}"
--branch "${BRANCH}"
--message "${MESSAGE}"
--env "RUN_ALL=1"
--env "NIGHTLY=1"
)
for env_var in "${BUILD_ENV[@]}"; do
CMD+=(--env "${env_var}")
done
if [[ "$DRY_RUN" == true ]]; then
echo "=========================================="
@@ -225,14 +210,8 @@ if [[ "$DRY_RUN" == true ]]; then
echo " --commit '$(escape_for_shell "${COMMIT}")' \\"
echo " --branch '$(escape_for_shell "${BRANCH}")' \\"
echo " --message '$(escape_for_shell "${MESSAGE}")' \\"
last_idx=$(( ${#BUILD_ENV[@]} - 1 ))
for i in "${!BUILD_ENV[@]}"; do
if [[ $i -eq $last_idx ]]; then
echo " --env '$(escape_for_shell "${BUILD_ENV[$i]}")'"
else
echo " --env '$(escape_for_shell "${BUILD_ENV[$i]}")' \\"
fi
done
echo " --env 'RUN_ALL=1' \\"
echo " --env 'NIGHTLY=1'"
echo ""
echo "=========================================="
echo -e "${YELLOW}To actually trigger this build, run:${NC}"
+4 -12
View File
@@ -6,14 +6,8 @@ set -ex
# manylinux platform tag with auditwheel.
# Index generation is handled separately by generate-and-upload-nightly-index.sh.
# auditwheel is Linux-only; macOS wheels already carry a valid tag, so skip the
# manylinux retag for them.
WHEEL_PLATFORM="${VLLM_WHEEL_PLATFORM:-linux}"
if [[ "$WHEEL_PLATFORM" == "linux" ]]; then
# shellcheck source=lib/manylinux.sh
source .buildkite/scripts/lib/manylinux.sh
fi
# shellcheck source=lib/manylinux.sh
source .buildkite/scripts/lib/manylinux.sh
BUCKET="vllm-wheels"
SUBPATH=$BUILDKITE_COMMIT
@@ -33,10 +27,8 @@ wheel="${wheel_files[0]}"
# ========= detect manylinux tag and rename ==========
if [[ "$WHEEL_PLATFORM" == "linux" ]]; then
wheel="$(apply_manylinux_tag "$wheel")"
echo "Renamed wheel to: $wheel"
fi
wheel="$(apply_manylinux_tag "$wheel")"
echo "Renamed wheel to: $wheel"
# Extract the version from the wheel
version=$(unzip -p "$wheel" '**/METADATA' | grep '^Version: ' | cut -d' ' -f2)
+3 -3
View File
@@ -113,8 +113,8 @@ $PYTHON .buildkite/scripts/generate-nightly-index.py \
echo "Uploading indices to $S3_COMMIT_PREFIX"
aws s3 cp --recursive "$INDICES_OUTPUT_DIR/" "$S3_COMMIT_PREFIX"
# Only scheduled nightly builds should update the moving nightly index.
if [[ "${NIGHTLY:-0}" == "1" ]]; then
# Update rocm/nightly/ if on main branch and not a PR
if [[ "$BUILDKITE_BRANCH" == "main" && "$BUILDKITE_PULL_REQUEST" == "false" ]] || [[ "$NIGHTLY" == "1" ]]; then
echo "Updating rocm/nightly/ index..."
aws s3 cp --recursive "$INDICES_OUTPUT_DIR/" "s3://$BUCKET/rocm/nightly/"
fi
@@ -147,7 +147,7 @@ echo ""
echo "Install command (by commit):"
echo " pip install vllm --extra-index-url https://${BUCKET}.s3.amazonaws.com/$ROCM_SUBPATH/"
echo ""
if [[ "${NIGHTLY:-0}" == "1" ]]; then
if [[ "$BUILDKITE_BRANCH" == "main" ]] || [[ "$NIGHTLY" == "1" ]]; then
echo "Install command (nightly):"
echo " pip install vllm --extra-index-url https://${BUCKET}.s3.amazonaws.com/rocm/nightly/"
fi
@@ -1,13 +0,0 @@
#!/bin/bash
set -euo pipefail
REGISTRY="public.ecr.aws/q9t5s3a7"
REPO="vllm-release-repo"
ARCH_TAG="${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}:${PLATFORM_TAG}
@@ -1,21 +0,0 @@
#!/bin/bash
set -ex
ORIG_TAG_NAME="$BUILDKITE_COMMIT"
REPO="vllm/vllm-openai-xpu"
echo "Pushing original XPU tag ${ORIG_TAG_NAME}-xpu to nightly tags in ${REPO}"
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin public.ecr.aws/q9t5s3a7
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:"$ORIG_TAG_NAME"-x86_64-xpu
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:"$ORIG_TAG_NAME"-x86_64-xpu ${REPO}:nightly-x86_64
docker push ${REPO}:nightly-x86_64
docker manifest rm ${REPO}:nightly || true
docker manifest rm ${REPO}:nightly-"$BUILDKITE_COMMIT" || true
docker manifest create ${REPO}:nightly ${REPO}:nightly-x86_64 --amend
docker manifest create ${REPO}:nightly-"$BUILDKITE_COMMIT" ${REPO}:nightly-x86_64 --amend
docker manifest push ${REPO}:nightly
docker manifest push ${REPO}:nightly-"$BUILDKITE_COMMIT"
+1072 -1431
View File
File diff suppressed because it is too large Load Diff
+6 -23
View File
@@ -2,9 +2,9 @@ group: Attention
depends_on:
- image-build
steps:
- label: V1 attention (H100-MI300)
key: v1-attention-h100-mi300
timeout_in_minutes: 85
- label: V1 attention (H100)
key: v1-attention-h100
timeout_in_minutes: 30
device: h100
source_file_dependencies:
- vllm/config/attention.py
@@ -12,27 +12,11 @@ steps:
- vllm/v1/attention
- tests/v1/attention
commands:
- pytest -v -s v1/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
parallelism: 2
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 125
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
- pytest -v -s v1/attention
- label: V1 attention (B200)
key: v1-attention-b200
timeout_in_minutes: 80
timeout_in_minutes: 30
device: b200-k8s
source_file_dependencies:
- vllm/config/attention.py
@@ -40,5 +24,4 @@ steps:
- vllm/v1/attention
- tests/v1/attention
commands:
- pytest -v -s v1/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
parallelism: 2
- pytest -v -s v1/attention
+3 -10
View File
@@ -4,22 +4,15 @@ depends_on:
steps:
- label: Basic Correctness
key: basic-correctness
timeout_in_minutes: 68
timeout_in_minutes: 30
device: h200_18gb
source_file_dependencies:
- 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:
dind: false
device: mi300_1
timeout_in_minutes: 60
depends_on:
- image-build-amd
+3 -10
View File
@@ -4,20 +4,13 @@ depends_on:
steps:
- label: Benchmarks CLI Test
key: benchmarks-cli-test
timeout_in_minutes: 45
timeout_in_minutes: 20
device: h200_18gb
source_file_dependencies:
- vllm/
- tests/benchmarks/
commands:
- pytest -v -s benchmarks/
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 40
depends_on:
- image-build-amd
- label: Attention Benchmarks Smoke Test (B200)
key: attention-benchmarks-smoke-test-b200
@@ -25,9 +18,9 @@ steps:
num_gpus: 2
optional: true
working_dir: "/vllm-workspace/"
timeout_in_minutes: 20
timeout_in_minutes: 10
source_file_dependencies:
- 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
+11 -11
View File
@@ -4,7 +4,7 @@ depends_on:
steps:
- label: Sequence Parallel Correctness Tests (2 GPUs)
key: sequence-parallel-correctness-tests-2-gpus
timeout_in_minutes: 80
timeout_in_minutes: 50
working_dir: "/vllm-workspace/"
num_devices: 2
source_file_dependencies:
@@ -19,7 +19,7 @@ steps:
- label: Sequence Parallel Correctness Tests (2xH100)
key: sequence-parallel-correctness-tests-2xh100
timeout_in_minutes: 75
timeout_in_minutes: 50
working_dir: "/vllm-workspace/"
device: h100
optional: true
@@ -30,7 +30,7 @@ steps:
- label: AsyncTP Correctness Tests (2xH100)
key: asynctp-correctness-tests-2xh100
timeout_in_minutes: 30
timeout_in_minutes: 50
working_dir: "/vllm-workspace/"
device: h100
optional: true
@@ -41,7 +41,7 @@ steps:
- label: AsyncTP Correctness Tests (B200)
key: asynctp-correctness-tests-b200
timeout_in_minutes: 30
timeout_in_minutes: 50
working_dir: "/vllm-workspace/"
device: b200-k8s
optional: true
@@ -52,7 +52,7 @@ steps:
- label: Distributed Compile Unit Tests (2xH100)
key: distributed-compile-unit-tests-2xh100
timeout_in_minutes: 45
timeout_in_minutes: 20
working_dir: "/vllm-workspace/"
device: h100
num_devices: 2
@@ -66,7 +66,7 @@ steps:
- label: Fusion and Compile Unit Tests (2xB200)
key: fusion-and-compile-unit-tests-2xb200
timeout_in_minutes: 30
timeout_in_minutes: 20
working_dir: "/vllm-workspace/"
device: b200-k8s
source_file_dependencies:
@@ -96,7 +96,7 @@ steps:
- label: Fusion E2E Quick (H100)
key: fusion-e2e-quick-h100
timeout_in_minutes: 25
timeout_in_minutes: 15
working_dir: "/vllm-workspace/"
device: h100
num_devices: 1
@@ -115,7 +115,7 @@ steps:
- label: Fusion E2E Config Sweep (H100)
key: fusion-e2e-config-sweep-h100
timeout_in_minutes: 25
timeout_in_minutes: 30
working_dir: "/vllm-workspace/"
device: h100
num_devices: 1
@@ -149,7 +149,7 @@ steps:
- label: Fusion E2E TP2 Quick (H100)
key: fusion-e2e-tp2-quick-h100
timeout_in_minutes: 35
timeout_in_minutes: 20
working_dir: "/vllm-workspace/"
device: h100
num_devices: 2
@@ -167,7 +167,7 @@ steps:
- label: Fusion E2E TP2 AR-RMS Config Sweep (H100)
key: fusion-e2e-tp2-ar-rms-config-sweep-h100
timeout_in_minutes: 30
timeout_in_minutes: 40
working_dir: "/vllm-workspace/"
device: h100
num_devices: 2
@@ -207,7 +207,7 @@ steps:
- label: Fusion E2E TP2 (B200)
key: fusion-e2e-tp2-b200
timeout_in_minutes: 45
timeout_in_minutes: 20
working_dir: "/vllm-workspace/"
device: b200-k8s
num_devices: 2
+5 -10
View File
@@ -2,9 +2,9 @@ group: CUDA
depends_on:
- image-build
steps:
- label: Platform Tests
key: platform-tests
timeout_in_minutes: 20
- label: Platform Tests (CUDA)
key: platform-tests-cuda
timeout_in_minutes: 15
device: h200_18gb
source_file_dependencies:
- vllm/envs.py
@@ -16,21 +16,16 @@ steps:
commands:
- pytest -v -s cuda/test_cuda_context.py
- pytest -v -s cuda/test_platform_no_cuda_init.py
- pytest -v -s cuda/test_cuda_compatibility_path.py
- label: Cudagraph
device: h200_35gb
key: cudagraph
timeout_in_minutes: 30
timeout_in_minutes: 20
source_file_dependencies:
- tests/v1/cudagraph
- vllm/v1/cudagraph_dispatcher.py
- vllm/config/compilation.py
- vllm/compilation
- vllm/v1/worker/encoder_cudagraph.py
- vllm/v1/worker/encoder_cudagraph_defs.py
commands:
- pytest -v -s v1/cudagraph/test_cudagraph_dispatch.py
- pytest -v -s v1/cudagraph/test_cudagraph_mode.py
- pytest -v -s v1/cudagraph/test_breakable_cudagraph.py
- pytest -v -s v1/cudagraph/test_encoder_cudagraph.py
- pytest -v -s v1/cudagraph/test_breakable_cudagraph.py
+25 -162
View File
@@ -4,54 +4,26 @@ depends_on:
steps:
- label: Distributed NixlConnector PD accuracy (4 GPUs)
key: distributed-nixlconnector-pd-accuracy-4-gpus
timeout_in_minutes: 55
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/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
dind: false
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
- 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: 55
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/
commands:
- 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
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- 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
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/
commands:
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- FLASHINFER=1 bash v1/kv_connector/nixl_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
@@ -62,108 +34,36 @@ steps:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- tests/v1/kv_connector/nixl_integration/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- DP_EP=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
dind: false
device: mi300_4
timeout_in_minutes: 40
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
timeout_in_minutes: 55
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/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- CROSS_LAYERS_BLOCKS=True bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
dind: false
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
- 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
timeout_in_minutes: 60
timeout_in_minutes: 25
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/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- HYBRID_SSM=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
dind: false
device: mi300_4
timeout_in_minutes: 55
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: NixlConnector PD edge case test (2 GPUs)
key: nixlconnector-pd-edge-cases-2-gpus
timeout_in_minutes: 40
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/v1/core/sched/
- tests/v1/kv_connector/nixl_integration/
env:
PREFILL_GPU_ID: "0"
DECODE_GPU_ID: "1"
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_integration/run_edge_case_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
timeout_in_minutes: 40
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
@@ -173,12 +73,12 @@ steps:
- vllm/distributed/kv_transfer/kv_connector/v1/offloading/
- tests/v1/kv_connector/nixl_integration/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- bash v1/kv_connector/nixl_integration/run_multi_connector_accuracy_test.sh
- label: NixlConnector PD + Spec Decode acceptance (2 GPUs)
key: nixlconnector-pd-spec-decode-acceptance-2-gpus
timeout_in_minutes: 45
timeout_in_minutes: 30
device: a100
working_dir: "/vllm-workspace/tests"
num_devices: 2
@@ -187,27 +87,12 @@ steps:
- vllm/v1/worker/kv_connector_model_runner_mixin.py
- tests/v1/kv_connector/nixl_integration/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- bash v1/kv_connector/nixl_integration/config_sweep_spec_decode_test.sh
mirror:
amd:
dind: false
device: mi300_2
timeout_in_minutes: 45
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
- KV_CACHE_MEMORY_BYTES=8G 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
timeout_in_minutes: 25
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
@@ -217,27 +102,5 @@ steps:
- vllm/distributed/kv_transfer/kv_connector/v1/offloading/
- tests/v1/kv_connector/nixl_integration/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_integration/run_multi_connector_edge_case_test.sh
# P TP 4 - D DPEP 4 test case for DSv4-Flash
- label: DSv4-Flash Disaggregated DP EP
key: dsv4-flash-disaggregated
timeout_in_minutes: 60
device: h200
optional: true
working_dir: "/vllm-workspace/tests"
num_devices: 8
env:
ENABLE_HMA_FLAG: "1"
DP_EP: "1"
GPU_MEMORY_UTILIZATION: "0.85"
PREFILLER_TP_SIZE: "4"
DECODER_TP_SIZE: "4"
PREFILL_BLOCK_SIZE: "256"
DECODE_BLOCK_SIZE: "256"
MODEL_NAMES: "deepseek-ai/DeepSeek-V4-Flash"
VLLM_SERVE_EXTRA_ARGS: "--trust-remote-code,--kv-cache-dtype,fp8"
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_integration/run_accuracy_test.sh
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- bash v1/kv_connector/nixl_integration/run_multi_connector_edge_case_test.sh
+19 -36
View File
@@ -4,7 +4,7 @@ depends_on:
steps:
- label: Distributed Comm Ops
key: distributed-comm-ops
timeout_in_minutes: 25
timeout_in_minutes: 20
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
@@ -18,7 +18,7 @@ steps:
- label: Distributed DP Tests (2 GPUs)
key: distributed-dp-tests-2-gpus
timeout_in_minutes: 35
timeout_in_minutes: 20
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
@@ -37,27 +37,10 @@ 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:
dind: false
device: mi300_2
timeout_in_minutes: 45
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
timeout_in_minutes: 65
timeout_in_minutes: 20
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
@@ -80,7 +63,7 @@ steps:
- label: Distributed Torchrun + Shutdown Tests (2 GPUs)
key: distributed-torchrun-shutdown-tests-2-gpus
timeout_in_minutes: 30
timeout_in_minutes: 20
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
@@ -135,7 +118,7 @@ steps:
- label: Distributed DP Tests (4 GPUs)
key: distributed-dp-tests-4-gpus
timeout_in_minutes: 45
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
@@ -156,7 +139,7 @@ steps:
- label: Distributed Compile + Comm (4 GPUs)
key: distributed-compile-comm-4-gpus
timeout_in_minutes: 70
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
@@ -176,9 +159,9 @@ 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
timeout_in_minutes: 20
- label: Distributed Tests (8 GPUs)(H100)
key: distributed-tests-8-gpus-h100
timeout_in_minutes: 10
device: h100
num_devices: 8
working_dir: "/vllm-workspace/tests"
@@ -197,8 +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
@@ -212,9 +195,9 @@ 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
timeout_in_minutes: 30
- label: Distributed Tests (2 GPUs)(H100)
key: distributed-tests-2-gpus-h100
timeout_in_minutes: 15
device: h100
optional: true
working_dir: "/vllm-workspace/"
@@ -227,15 +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
@@ -261,7 +244,7 @@ steps:
- label: Pipeline + Context Parallelism (4 GPUs)
key: pipeline-context-parallelism-4-gpus
timeout_in_minutes: 55
timeout_in_minutes: 60
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
@@ -276,7 +259,7 @@ steps:
- label: RayExecutorV2 (4 GPUs)
key: rayexecutorv2-4-gpus
timeout_in_minutes: 45
timeout_in_minutes: 60
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
+1 -1
View File
@@ -3,7 +3,7 @@ depends_on:
- image-build-cpu
steps:
- label: Docker Build Metadata
timeout_in_minutes: 20
timeout_in_minutes: 10
device: cpu-small
source_file_dependencies:
- .buildkite/release-pipeline.yaml
+11 -11
View File
@@ -2,9 +2,9 @@ group: E2E Integration
depends_on:
- image-build
steps:
- label: DeepSeek V2-Lite Sync EPLB Accuracy (4xH100)
key: deepseek-v2-lite-sync-eplb-accuracy-4xh100
timeout_in_minutes: 25
- label: DeepSeek V2-Lite Accuracy
key: deepseek-v2-lite-accuracy
timeout_in_minutes: 60
device: h100
optional: true
num_devices: 4
@@ -12,9 +12,9 @@ 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
timeout_in_minutes: 25
- label: Qwen3-30B-A3B-FP8-block Accuracy
key: qwen3-30b-a3b-fp8-block-accuracy
timeout_in_minutes: 60
device: h100
optional: true
num_devices: 4
@@ -22,9 +22,9 @@ 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
timeout_in_minutes: 20
- label: Qwen3-30B-A3B-FP8-block Accuracy (B200)
key: qwen3-30b-a3b-fp8-block-accuracy-b200
timeout_in_minutes: 60
device: b200-k8s
optional: true
num_devices: 2
@@ -34,7 +34,7 @@ steps:
- label: Qwen3-30B-A3B-FP8 DP4 Async EPLB Accuracy
key: qwen3-30b-a3b-fp8-dp4-async-eplb-accuracy
timeout_in_minutes: 25
timeout_in_minutes: 60
device: h100
optional: true
num_devices: 4
@@ -44,7 +44,7 @@ steps:
- label: DeepSeek V2-Lite Prefetch Offload Accuracy (H100)
key: deepseek-v2-lite-prefetch-offload-accuracy-h100
timeout_in_minutes: 20
timeout_in_minutes: 60
device: h100
optional: true
num_devices: 1
+10 -36
View File
@@ -4,7 +4,7 @@ depends_on:
steps:
- label: Engine
key: engine
timeout_in_minutes: 30
timeout_in_minutes: 15
device: h200_18gb
source_file_dependencies:
- vllm/compilation/
@@ -26,35 +26,26 @@ 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:
dind: false
device: mi300_1
timeout_in_minutes: 40
depends_on:
- image-build-amd
- label: Engine (1 GPU)
key: engine-1-gpu
timeout_in_minutes: 45
timeout_in_minutes: 30
source_file_dependencies:
- vllm/v1/engine/
- tests/v1/engine/
- tests/v1/test_tensor_ipc_queue.py
commands:
- pytest -v -s v1/engine/test_preprocess_error_handling.py
- pytest -v -s v1/engine --ignore v1/engine/test_preprocess_error_handling.py
- pytest -v -s v1/test_tensor_ipc_queue.py
mirror:
amd:
device: mi250_1
timeout_in_minutes: 45
device: mi325_1
timeout_in_minutes: 40
depends_on:
- image-build-amd
- label: e2e Scheduling (1 GPU)
key: e2e-scheduling-1-gpu
timeout_in_minutes: 53
timeout_in_minutes: 30
device: h200_18gb
source_file_dependencies:
- vllm/v1/
@@ -64,33 +55,23 @@ steps:
mirror:
amd:
device: mi250_1
timeout_in_minutes: 55
timeout_in_minutes: 60
depends_on:
- image-build-amd
- label: e2e Core (1 GPU)
device: h200_35gb
key: e2e-core-1-gpu
timeout_in_minutes: 40
timeout_in_minutes: 30
source_file_dependencies:
- vllm/v1/
- tests/v1/e2e/general/
commands:
- pytest -v -s v1/e2e/general --ignore v1/e2e/general/test_async_scheduling.py
mirror:
amd:
device: mi250_1
timeout_in_minutes: 50
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
timeout_in_minutes: 25 # TODO: Fix timeout after we have more confidence in the test stability
timeout_in_minutes: 60 # TODO: Fix timeout after we have more confidence in the test stability
optional: true
num_devices: 2
source_file_dependencies:
@@ -115,17 +96,10 @@ 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:
dind: false
device: mi300_2
timeout_in_minutes: 30
depends_on:
- image-build-amd
- label: V1 e2e (4 GPUs)
key: v1-e2e-4-gpus
timeout_in_minutes: 20 # TODO: Fix timeout after we have more confidence in the test stability
timeout_in_minutes: 60 # TODO: Fix timeout after we have more confidence in the test stability
optional: true
num_devices: 4
source_file_dependencies:
@@ -153,7 +127,7 @@ steps:
- label: V1 e2e (4xH100)
key: v1-e2e-4xh100
timeout_in_minutes: 35
timeout_in_minutes: 60
device: h100
num_devices: 4
optional: true
+104 -146
View File
@@ -3,128 +3,140 @@ depends_on:
- image-build
steps:
- label: Entrypoints Unit Tests
device: h200_35gb
key: entrypoints-unit-tests
timeout_in_minutes: 25
timeout_in_minutes: 10
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/rpc --ignore=entrypoints/sleep --ignore=entrypoints/serve/instrumentator --ignore=entrypoints/openai --ignore=entrypoints/offline_mode --ignore=entrypoints/test_chat_utils.py --ignore=entrypoints/pooling --ignore=entrypoints/speech_to_text
- label: Entrypoints Integration (LLM)
device: h200_35gb
key: entrypoints-integration-llm
timeout_in_minutes: 60
timeout_in_minutes: 40
working_dir: "/vllm-workspace/tests"
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:
dind: false
device: mi300_1
timeout_in_minutes: 55
device: mi325_1
soft_fail: true
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server)
key: entrypoints-integration-api-server
device: h200_35gb
timeout_in_minutes: 75
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:
dind: false
device: mi300_1
timeout_in_minutes: 65
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server OpenAI - Part 1)
device: h200_35gb
- label: Entrypoints Integration (API Server openai - Part 1)
key: entrypoints-integration-api-server-openai-part-1
timeout_in_minutes: 68
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/openai
- 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
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 65
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server OpenAI - Part 2)
device: h200_35gb
key: entrypoints-integration-api-server-openai-part-2
timeout_in_minutes: 83
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- 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:
dind: false
device: mi300_1
timeout_in_minutes: 70
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server Generate)
device: h200_35gb
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/entrypoints/openai
- tests/entrypoints/test_chat_utils
commands:
- pytest -v -s tool_use
- pytest -v -s entrypoints/tool_parsers
- pytest -v -s entrypoints/generate
- pytest -v -s entrypoints/anthropic
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/openai/chat_completion --ignore=entrypoints/openai/chat_completion/test_chat_with_tool_reasoning.py --ignore=entrypoints/openai/chat_completion/test_oot_registration.py
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 65
device: mi325_1
soft_fail: true
timeout_in_minutes: 80
depends_on:
- image-build-amd
- label: Entrypoints Integration (Responses API)
- 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"
source_file_dependencies:
- vllm/
- tests/entrypoints/openai
- tests/entrypoints/test_chat_utils
commands:
- pytest -v -s entrypoints/openai/completion --ignore=entrypoints/openai/completion/test_tensorizer_entrypoint.py
- pytest -v -s entrypoints/test_chat_utils.py
mirror:
amd:
device: mi325_1
soft_fail: true
timeout_in_minutes: 60
depends_on:
- image-build-amd
- 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
- tests/entrypoints/test_chat_utils
commands:
- 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/rpc
- tests/entrypoints/serve/instrumentator
- tests/tool_use
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/serve/instrumentator
- PYTHONPATH=/vllm-workspace pytest -v -s entrypoints/rpc
- pytest -v -s tool_use
mirror:
amd:
device: mi325_1
soft_fail: true
depends_on:
- image-build-amd
- label: Entrypoints Integration (Speech to Text)
device: h200_35gb
key: entrypoints-integration-speech_to_text
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/speech_to_text
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/speech_to_text
- label: Entrypoints Integration (Pooling)
key: entrypoints-integration-pooling
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/pooling
commands:
- 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"
@@ -134,67 +146,13 @@ steps:
commands:
- pytest -v -s entrypoints/openai/responses
- label: Entrypoints Integration (Speech to Text)
device: h200_35gb
key: entrypoints-integration-speech_to_text
timeout_in_minutes: 45
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/speech_to_text
commands:
- 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: 45
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)
device: h200_35gb
key: entrypoints-integration-pooling
timeout_in_minutes: 75
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/pooling
commands:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/pooling
- label: OpenAI API Correctness
key: openai-api-correctness
timeout_in_minutes: 20
timeout_in_minutes: 30
device: h200_18gb
source_file_dependencies:
- csrc/
- vllm/entrypoints/openai/
- vllm/model_executor/models/whisper.py
commands: # LMEval
- pytest -s entrypoints/openai/correctness/
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 30
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/
+3 -16
View File
@@ -4,7 +4,7 @@ depends_on:
steps:
- label: EPLB Algorithm
key: eplb-algorithm
timeout_in_minutes: 20
timeout_in_minutes: 15
device: h200_18gb
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
@@ -14,22 +14,10 @@ steps:
commands:
- pytest -v -s distributed/test_eplb_algo.py
- pytest -v -s distributed/test_eplb_utils.py
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 30
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
timeout_in_minutes: 25
timeout_in_minutes: 27
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
@@ -41,7 +29,7 @@ steps:
- label: Elastic EP Scaling Test
key: elastic-ep-scaling-test
timeout_in_minutes: 30
timeout_in_minutes: 20
device: h100
working_dir: "/vllm-workspace/tests"
num_devices: 4
@@ -52,5 +40,4 @@ steps:
- vllm/compilation/
- tests/distributed/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- pytest -v -s distributed/test_elastic_ep.py
@@ -1,26 +0,0 @@
group: Fault Tolerance
depends_on:
- image-build
steps:
- label: Fault Tolerance E2E (2xH100)
key: fault-tolerance-e2e-2xh100
timeout_in_minutes: 35
device: h100
num_devices: 2
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/v1/fault_tolerance/
- vllm/v1/worker/sentinel/
- vllm/entrypoints/serve/fault_tolerance/
- vllm/distributed/elastic_ep/
- vllm/distributed/device_communicators/
- vllm/v1/engine/
- vllm/v1/worker/
- tests/v1/fault_tolerance/
- tests/v1/distributed/test_external_lb_dp.py
commands:
# Base image has no nixl; install it or has_nixl_ep() skips the tests.
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
# https://github.com/NVIDIA/nccl/issues/1838
- export NCCL_CUMEM_HOST_ENABLE=0
- pytest -v -s v1/fault_tolerance/test_fault_tolerance_e2e.py
+35 -128
View File
@@ -4,7 +4,7 @@ depends_on:
steps:
- label: vLLM IR Tests
key: vllm-ir-tests
timeout_in_minutes: 35
timeout_in_minutes: 10
device: h200_18gb
working_dir: "/vllm-workspace/"
source_file_dependencies:
@@ -15,21 +15,18 @@ steps:
- pytest -v -s tests/kernels/ir
- label: Kernels Core Operation Test
device: h200_35gb
key: kernels-core-operation-test
timeout_in_minutes: 120
timeout_in_minutes: 75
source_file_dependencies:
- 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 --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
parallelism: 3
- 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
timeout_in_minutes: 20
timeout_in_minutes: 15
num_devices: 2
device: h100
source_file_dependencies:
@@ -43,67 +40,29 @@ steps:
- label: Deepseek V4 Kernel Test (H100)
key: deepseek-v4-kernel-test-h100
timeout_in_minutes: 30
timeout_in_minutes: 15
device: h100
source_file_dependencies:
- 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
timeout_in_minutes: 20
timeout_in_minutes: 15
device: b200-k8s
source_file_dependencies:
- csrc/fused_deepseek_v4_qnorm_rope_kv_insert_kernel.cu
- vllm/models/deepseek_v4/common/ops/
- vllm/models/deepseek_v4/nvidia/
- tests/kernels/test_fused_deepseek_v4_qnorm_rope_kv_insert.py
- tests/models/test_deepseek_v4_mega_moe.py
commands:
- pytest -v -s kernels/test_fused_deepseek_v4_*.py
- pytest -v -s models/test_deepseek_v4_mega_moe.py
# Catch-all for test files at the tests/kernels root. This job collects
# the whole root so new files are wired by default.
# Files with dedicated jobs elsewhere in this file are excluded via --ignore
# (test_kda, test_bf16x3_router_gemm_cutedsl and test_ll_bf16_gemm run in
# their own jobs / Kernels (B200)).
- label: Kernels Root Misc Test (B200)
key: kernels-root-misc-test-b200
timeout_in_minutes: 45
device: b200-k8s
source_file_dependencies:
- csrc/
- vllm/
- tests/kernels/
commands:
- pytest -v -s kernels/
--ignore=kernels/attention
--ignore=kernels/core
--ignore=kernels/helion
--ignore=kernels/ir
--ignore=kernels/mamba
--ignore=kernels/moe
--ignore=kernels/quantization
--ignore=kernels/test_concat_mla_q.py
--ignore=kernels/test_fused_qk_norm_rope_gate.py
--ignore=kernels/test_fused_deepseek_v4_qnorm_rope_kv_insert.py
--ignore=kernels/test_top_k_per_row.py
--ignore=kernels/test_kda.py
--ignore=kernels/test_bf16x3_router_gemm_cutedsl.py
--ignore=kernels/test_ll_bf16_gemm.py
--ignore=kernels/test_shuffle_rows.py
# BROKEN on main, pending kernel fixes (B200):
# test_shuffle_rows.py (1: test_shuffle_rows_edge_cases)
- label: Kernels Attention Test %N
key: kernels-attention-test
timeout_in_minutes: 65
timeout_in_minutes: 35
source_file_dependencies:
- csrc/attention/
- vllm/v1/attention
@@ -114,38 +73,10 @@ steps:
commands:
- pytest -v -s kernels/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
parallelism: 2
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 90
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
timeout_in_minutes: 60
timeout_in_minutes: 90
source_file_dependencies:
- csrc/quantization/
- vllm/model_executor/layers/quantization
@@ -155,13 +86,10 @@ steps:
parallelism: 2
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 120
device: mi325_1
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
@@ -172,7 +100,7 @@ steps:
- label: Kernels MoE Test %N
key: kernels-moe-test
timeout_in_minutes: 50
timeout_in_minutes: 25
source_file_dependencies:
- csrc/quantization/cutlass_w8a8/moe/
- csrc/moe/
@@ -185,28 +113,10 @@ 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:
dind: false
device: mi300_1
timeout_in_minutes: 55
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
device: h200_35gb
key: kernels-mamba-test
timeout_in_minutes: 40
timeout_in_minutes: 45
source_file_dependencies:
- csrc/mamba/
- tests/kernels/mamba
@@ -214,9 +124,20 @@ steps:
commands:
- pytest -v -s kernels/mamba
- label: Kernels KDA Test
timeout_in_minutes: 20
device: h200_18gb
source_file_dependencies:
- vllm/model_executor/layers/fla/ops/kda.py
- vllm/model_executor/layers/fla/ops/chunk_delta_h.py
- vllm/model_executor/layers/fla/ops/l2norm.py
- tests/kernels/test_kda.py
commands:
- pytest -v -s kernels/test_kda.py
- label: Kernels DeepGEMM Test (H100)
key: kernels-deepgemm-test-h100
timeout_in_minutes: 35
timeout_in_minutes: 45
device: h100
num_devices: 1
source_file_dependencies:
@@ -243,7 +164,7 @@ steps:
- label: Kernels (B200)
key: kernels-b200
timeout_in_minutes: 80
timeout_in_minutes: 30
working_dir: "/vllm-workspace/"
device: b200-k8s
# optional: true
@@ -263,15 +184,6 @@ steps:
- vllm/v1/attention/backends/mla/flashinfer_mla.py
- vllm/v1/attention/selector.py
- vllm/platforms/cuda.py
- vllm/model_executor/kernels/linear/cute_dsl/ll_bf16.py
- vllm/model_executor/kernels/linear/cute_dsl/_ll_bf16_dotprod.py
- vllm/model_executor/kernels/linear/cute_dsl/_ll_bf16_splitk.py
- vllm/cute_utils/
- vllm/model_executor/layers/mamba/ops/gdn_chunk_cutedsl/
- vllm/model_executor/layers/fused_moe/router/bf16x3_router_gemm_cutedsl.py
- tests/kernels/mamba/test_gdn_prefill_cutedsl.py
- tests/kernels/test_bf16x3_router_gemm_cutedsl.py
- tests/kernels/test_ll_bf16_gemm.py
- tests/kernels/test_top_k_per_row.py
commands:
- nvidia-smi
@@ -300,28 +212,24 @@ steps:
- pytest -v -s tests/kernels/moe/test_flashinfer_moe.py
- pytest -v -s tests/kernels/moe/test_trtllm_nvfp4_moe.py
- pytest -v -s tests/kernels/moe/test_cutedsl_moe.py
- pytest -v -s tests/kernels/mamba/test_gdn_prefill_cutedsl.py
- pytest -v -s tests/kernels/test_bf16x3_router_gemm_cutedsl.py
- pytest -v -s tests/kernels/test_ll_bf16_gemm.py
# e2e
- pytest -v -s tests/models/quantization/test_nvfp4.py
- label: Kernels Helion Test
key: kernels-helion-test
timeout_in_minutes: 115
timeout_in_minutes: 30
device: h100
source_file_dependencies:
- vllm/utils/import_utils.py
- tests/kernels/helion/
commands:
- pip install helion==1.1.0
- pytest -v -s kernels/helion/ --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
parallelism: 2
- pip install helion==1.0.0
- pytest -v -s kernels/helion/
- label: Kernels FP8 MoE Test (1xH100)
key: kernels-fp8-moe-test-1xh100
timeout_in_minutes: 40
- label: Kernels FP8 MoE Test (1 H100)
key: kernels-fp8-moe-test-1-h100
timeout_in_minutes: 90
device: h100
num_devices: 1
optional: true
@@ -336,9 +244,9 @@ 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
timeout_in_minutes: 45
- label: Kernels FP8 MoE Test (2 H100s)
key: kernels-fp8-moe-test-2-h100s
timeout_in_minutes: 90
device: h100
num_devices: 2
optional: true
@@ -348,7 +256,7 @@ steps:
- label: Kernels Fp4 MoE Test (B200)
key: kernels-fp4-moe-test-b200
timeout_in_minutes: 25
timeout_in_minutes: 60
device: b200-k8s
num_devices: 1
optional: true
@@ -361,7 +269,7 @@ steps:
- label: Kernels FusedMoE Layer Test (2 H100s)
key: kernels-fusedmoe-layer-test-2-h100s
timeout_in_minutes: 30
timeout_in_minutes: 90
device: h100
num_devices: 2
source_file_dependencies:
@@ -391,4 +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
+24 -235
View File
@@ -5,32 +5,15 @@ steps:
- label: LM Eval Small Models
device: h200_35gb
key: lm-eval-small-models
timeout_in_minutes: 45
timeout_in_minutes: 75
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.txt
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 45
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
@@ -42,8 +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
@@ -55,9 +38,9 @@ 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
timeout_in_minutes: 50
- label: LM Eval Small Models (B200)
key: lm-eval-small-models-b200
timeout_in_minutes: 120
device: b200-k8s
optional: true
source_file_dependencies:
@@ -66,45 +49,10 @@ 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
- label: LM Eval Large Models (B200, EP)
key: lm-eval-large-models-b200-ep
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 PCP (4xB200)
key: lm-eval-pcp-4xb200
timeout_in_minutes: 360
device: b200-k8s
num_devices: 4
optional: true
source_file_dependencies:
- csrc/
- tests/evals/gsm8k/configs/GLM-5.2-NVFP4-TP2-PCP2-EP.yaml
- tests/evals/gsm8k/configs/GLM-5.2-NVFP4-TP1-PCP4-EP.yaml
- tests/evals/gsm8k/configs/models-pcp.txt
- vllm/model_executor/layers/quantization
- vllm/config/parallel.py
- vllm/distributed/parallel_state.py
- vllm/model_executor/layers/attention/mla_attention.py
- vllm/model_executor/layers/attention/pcp.py
- vllm/v1/worker/gpu/model_runner.py
- vllm/v1/worker/gpu/pcp_manager.py
autorun_on_main: true
commands:
- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-pcp.txt
- label: LM Eval Large Models EP (2xB200)
key: lm-eval-large-models-ep-2xb200
timeout_in_minutes: 60
device: b200-k8s
optional: true
num_devices: 2
source_file_dependencies:
@@ -113,9 +61,9 @@ 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
timeout_in_minutes: 45
- label: LM Eval Qwen3.5 Models (B200)
key: lm-eval-qwen3-5-models-b200
timeout_in_minutes: 120
device: b200-k8s
optional: true
num_devices: 2
@@ -126,29 +74,18 @@ steps:
- vllm/transformers_utils/configs/qwen3_5_moe.py
- vllm/model_executor/models/qwen3_next.py
- vllm/model_executor/models/qwen3_next_mtp.py
- vllm/third_party/flash_linear_attention/ops/
- vllm/model_executor/layers/fla/ops/
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
timeout_in_minutes: 50
- 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:
dind: false
device: mi300_8
timeout_in_minutes: 40
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
@@ -174,101 +111,10 @@ 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: 75
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: 45
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: 70
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: 70
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: 50
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: 50
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
timeout_in_minutes: 55
timeout_in_minutes: 75
device: h200_18gb
source_file_dependencies:
- vllm/model_executor/layers/quantization/turboquant/
@@ -278,9 +124,9 @@ 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
timeout_in_minutes: 35
- label: GPQA Eval (GPT-OSS) (H100)
key: gpqa-eval-gpt-oss-h100
timeout_in_minutes: 120
device: h100
optional: true
num_devices: 2
@@ -292,9 +138,9 @@ 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
timeout_in_minutes: 30
- label: GPQA Eval (GPT-OSS) (B200)
key: gpqa-eval-gpt-oss-b200
timeout_in_minutes: 120
device: b200-k8s
optional: true
num_devices: 2
@@ -306,66 +152,9 @@ 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: 35
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: 45
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 or deepseek-v2-lite"
- label: LM Eval KV-Offload (4xH100)
key: kv-offload-large
timeout_in_minutes: 40
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: 25
timeout_in_minutes: 30
source_file_dependencies:
- tests/evals/mrcr/
commands:
+3 -15
View File
@@ -5,30 +5,18 @@ steps:
- label: LoRA %N
device: h200_35gb
key: lora
timeout_in_minutes: 40
timeout_in_minutes: 30
source_file_dependencies:
- vllm/lora
- tests/lora
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:
dind: false
device: mi300_1
working_dir: "/vllm-workspace/tests"
timeout_in_minutes: 85
source_file_dependencies:
- vllm/lora
- tests/lora
- vllm/platforms/rocm.py
depends_on:
- image-build-amd
- label: LoRA TP (Distributed)
key: lora-tp-distributed
timeout_in_minutes: 60
timeout_in_minutes: 30
num_devices: 4
source_file_dependencies:
- vllm/lora
@@ -47,4 +35,4 @@ steps:
- pytest -v -s -x lora/test_qwen3_with_multi_loras.py
- pytest -v -s -x lora/test_olmoe_tp.py
- pytest -v -s -x lora/test_gptoss_tp.py
- pytest -v -s -x lora/test_qwen35_densemodel_lora.py
- pytest -v -s -x lora/test_qwen35_densemodel_lora.py
+26 -104
View File
@@ -5,7 +5,7 @@ steps:
- label: V1 Spec Decode
device: h200_35gb
key: v1-spec-decode
timeout_in_minutes: 40
timeout_in_minutes: 30
source_file_dependencies:
- vllm/config/
- vllm/distributed/
@@ -21,17 +21,10 @@ 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:
dind: false
device: mi300_1
timeout_in_minutes: 50
depends_on:
- image-build-amd
- label: V1 Sample + Logits
key: v1-sample-logits
timeout_in_minutes: 83
timeout_in_minutes: 30
device: h200_18gb
source_file_dependencies:
- vllm/config/
@@ -59,16 +52,13 @@ steps:
- pytest -v -s v1/test_outputs.py
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 70
device: mi325_1
depends_on:
- image-build-amd
- label: V1 Core + KV + Metrics
device: h200_35gb
key: v1-core-kv-metrics
timeout_in_minutes: 80
timeout_in_minutes: 30
source_file_dependencies:
- vllm/config/
- vllm/distributed/
@@ -92,13 +82,11 @@ steps:
- tests/v1/kv_offload
- tests/v1/simple_kv_offload
- tests/v1/worker
- tests/v1/streaming_input
- tests/v1/kv_connector/unit
- tests/v1/ec_connector/unit
- tests/v1/metrics
- tests/entrypoints/openai/correctness/test_lmeval.py
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
# split the test to avoid interference
- pytest -v -s -m 'not cpu_test' v1/core
@@ -106,20 +94,11 @@ steps:
- pytest -v -s v1/kv_offload
- pytest -v -s v1/simple_kv_offload
- pytest -v -s v1/worker
- pytest -v -s v1/streaming_input
- pytest -v -s -m 'not cpu_test' v1/kv_connector/unit
- pytest -v -s -m 'not cpu_test' v1/ec_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:
dind: false
device: mi300_1
timeout_in_minutes: 65
depends_on:
- image-build-amd
- label: V1 Others (CPU)
key: v1-others-cpu
@@ -148,8 +127,6 @@ steps:
- pytest -v -s -m 'cpu_test' v1/core
- pytest -v -s v1/structured_output
- pytest -v -s v1/test_serial_utils.py
- pytest -v -s v1/test_kv_cache_spec_registry.py
- pytest -v -s v1/cudagraph/test_cudagraph_manager.py
- pytest -v -s -m 'cpu_test' v1/kv_connector/unit
- pytest -v -s -m 'cpu_test' v1/metrics
@@ -161,29 +138,14 @@ 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: 30
timeout_in_minutes: 20
device: h200_18gb
source_file_dependencies:
- vllm/config/
@@ -199,21 +161,21 @@ 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
- label: Examples
device: h200_35gb
key: examples
timeout_in_minutes: 40
timeout_in_minutes: 45
working_dir: "/vllm-workspace/examples"
source_file_dependencies:
- vllm/entrypoints
- vllm/multimodal
- examples/
commands:
- pip install --no-deps tensorizer # for tensorizer test
- pip install tensorizer # for tensorizer test
# for basic
- python3 basic/offline_inference/chat.py
- python3 basic/offline_inference/generate.py --model facebook/opt-125m
@@ -235,22 +197,10 @@ 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:
dind: false
device: mi300_1
timeout_in_minutes: 75
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
timeout_in_minutes: 25
timeout_in_minutes: 20
num_devices: 2
source_file_dependencies:
- vllm/config/
@@ -266,7 +216,6 @@ steps:
- vllm/utils/
- vllm/v1/
- tests/v1/tracing
- tests/tracing/
commands:
- "pip install \
'opentelemetry-sdk>=1.26.0' \
@@ -274,14 +223,6 @@ steps:
'opentelemetry-exporter-otlp>=1.26.0' \
'opentelemetry-semantic-conventions-ai>=0.4.1'"
- pytest -v -s v1/tracing
- pytest -v -s tracing
mirror:
amd:
dind: false
device: mi300_2
timeout_in_minutes: 30
depends_on:
- image-build-amd
- label: Python-only Installation
key: python-only-installation
@@ -294,22 +235,11 @@ steps:
- setup.py
commands:
- bash standalone_tests/python_only_compile.sh
mirror:
amd:
device: mi250_1
timeout_in_minutes: 55
soft_fail: true
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
key: async-engine-inputs-utils-worker
timeout_in_minutes: 25
timeout_in_minutes: 50
source_file_dependencies:
- vllm/assets/
- vllm/config/
@@ -336,7 +266,7 @@ steps:
key: async-engine-inputs-utils-worker-config-cpu
depends_on:
- image-build-cpu
timeout_in_minutes: 65
timeout_in_minutes: 30
source_file_dependencies:
- vllm/assets/
- vllm/config/
@@ -351,7 +281,6 @@ steps:
- vllm/model_executor/layers/quantization/quark/
- vllm/multimodal/
- vllm/outputs.py
- vllm/parser/
- vllm/platforms/
- vllm/pooling_params.py
- vllm/ray/
@@ -363,42 +292,38 @@ 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
- label: Batch Invariance (A100)
key: batch-invariance-a100
timeout_in_minutes: 60
timeout_in_minutes: 30
device: a100
source_file_dependencies:
- vllm/v1/attention
@@ -408,11 +333,11 @@ steps:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pip install pytest-timeout pytest-forked
- pytest -v -s v1/determinism/test_batch_invariance.py
- VLLM_TEST_MODEL=deepseek-ai/DeepSeek-V2-Lite-Chat pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle -k TRITON_MLA
- VLLM_TEST_MODEL=deepseek-ai/DeepSeek-V2-Lite-Chat pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle[TRITON_MLA]
- label: Batch Invariance (H100)
key: batch-invariance-h100
timeout_in_minutes: 60
timeout_in_minutes: 30
device: h100
source_file_dependencies:
- vllm/v1/attention
@@ -423,12 +348,12 @@ steps:
- pip install pytest-timeout pytest-forked
- pytest -v -s v1/determinism/test_batch_invariance.py
- pytest -v -s v1/determinism/test_rms_norm_batch_invariant.py
- VLLM_TEST_MODEL=deepseek-ai/DeepSeek-V2-Lite-Chat pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle -k TRITON_MLA
- VLLM_TEST_MODEL=Qwen/Qwen3-30B-A3B-Thinking-2507-FP8 pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle -k FLASH_ATTN
- VLLM_TEST_MODEL=deepseek-ai/DeepSeek-V2-Lite-Chat pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle[TRITON_MLA]
- VLLM_TEST_MODEL=Qwen/Qwen3-30B-A3B-Thinking-2507-FP8 pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle[FLASH_ATTN]
- label: Batch Invariance (B200)
key: batch-invariance-b200
timeout_in_minutes: 45
timeout_in_minutes: 30
device: b200-k8s
source_file_dependencies:
- vllm/v1/attention
@@ -439,18 +364,15 @@ steps:
- pip install pytest-timeout pytest-forked
- pytest -v -s v1/determinism/test_batch_invariance.py
- pytest -v -s v1/determinism/test_rms_norm_batch_invariant.py
- VLLM_TEST_MODEL=deepseek-ai/DeepSeek-V2-Lite-Chat pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle -k TRITON_MLA
- VLLM_TEST_MODEL=Qwen/Qwen3-30B-A3B-Thinking-2507-FP8 pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle -k FLASH_ATTN
- VLLM_TEST_MODEL=deepseek-ai/DeepSeek-V2-Lite-Chat pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle[TRITON_MLA]
- VLLM_TEST_MODEL=Qwen/Qwen3-30B-A3B-Thinking-2507-FP8 pytest -v -s v1/determinism/test_batch_invariance.py::test_v1_generation_is_deterministic_across_batch_sizes_with_needle[FLASH_ATTN]
- pytest -v -s v1/determinism/test_nvfp4_batch_invariant.py
- pytest -v -s v1/determinism/test_nvfp4_batch_invariant_scaled_mm.py
- pytest -v -s v1/determinism/test_matmul_batch_invariant.py
- pytest -v -s v1/determinism/test_cutlass_batch_invariance.py
- pytest -v -s v1/determinism/test_online_batch_invariance.py
- label: Acceptance Length Test (Large Models) # optional
device: h200_35gb
key: acceptance-length-test-large-models
timeout_in_minutes: 20
timeout_in_minutes: 25
gpu: h100
optional: true
num_gpus: 1
+3 -30
View File
@@ -3,43 +3,16 @@ depends_on:
- image-build
steps:
- label: Model Executor
device: h200_35gb
key: model-executor
timeout_in_minutes: 60
timeout_in_minutes: 35
source_file_dependencies:
- vllm/engine/arg_utils.py
- vllm/config/model.py
- vllm/model_executor
- vllm/model_executor/warmup
- tests/model_executor
- tests/model_executor/test_jit_warmup.py
- tests/entrypoints/openai/completion/test_tensorizer_entrypoint.py
commands:
- apt-get update && apt-get install -y curl libsodium23
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
# Dump tracebacks of all threads if a test hangs, so a wedged GPU/CUDA
# init surfaces a stack instead of silently stalling.
- export PYTHONFAULTHANDLER=1
# Per-test watchdog: a single hung test (e.g. stuck during engine/CUDA
# init) fails fast with a traceback instead of running until the global
# build timeout. The `thread` method also handles hangs inside C/CUDA
# 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:
dind: false
device: mi300_1
timeout_in_minutes: 60
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/engine/arg_utils.py
- vllm/config/model.py
- vllm/model_executor
- vllm/model_executor/warmup
- tests/model_executor
- tests/model_executor/test_jit_warmup.py
- tests/entrypoints/openai/completion/test_tensorizer_entrypoint.py
- vllm/_aiter_ops.py
- vllm/platforms/rocm.py
- pytest -v -s model_executor -m '(not slow_test)'
- pytest -v -s entrypoints/openai/completion/test_tensorizer_entrypoint.py
+8 -8
View File
@@ -5,7 +5,7 @@ steps:
- label: Model Runner V2 Core Tests
device: h200_35gb
key: model-runner-v2-core-tests
timeout_in_minutes: 35
timeout_in_minutes: 45
source_file_dependencies:
- vllm/v1/worker/gpu/
- vllm/v1/worker/gpu_worker.py
@@ -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.
@@ -27,7 +29,7 @@ steps:
- label: Model Runner V2 Examples
device: h200_35gb
key: model-runner-v2-examples
timeout_in_minutes: 35
timeout_in_minutes: 45
working_dir: "/vllm-workspace/examples"
source_file_dependencies:
- vllm/v1/worker/gpu/
@@ -41,7 +43,7 @@ steps:
commands:
- set -x
- export VLLM_USE_V2_MODEL_RUNNER=1
- pip install --no-deps tensorizer # for tensorizer test
- pip install tensorizer # for tensorizer test
- python3 basic/offline_inference/chat.py # for basic
- python3 basic/offline_inference/generate.py --model facebook/opt-125m
#- python3 basic/offline_inference/generate.py --model meta-llama/Llama-2-13b-chat-hf --cpu-offload-gb 10 # TODO
@@ -63,7 +65,7 @@ steps:
- label: Model Runner V2 Distributed (2 GPUs)
key: model-runner-v2-distributed-2-gpus
timeout_in_minutes: 30
timeout_in_minutes: 45
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
@@ -84,7 +86,7 @@ steps:
- label: Model Runner V2 Pipeline Parallelism (4 GPUs)
key: model-runner-v2-pipeline-parallelism-4-gpus
timeout_in_minutes: 50
timeout_in_minutes: 60
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
@@ -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
+13 -44
View File
@@ -4,8 +4,9 @@ depends_on:
steps:
- label: Basic Models Tests (Initialization)
key: basic-models-tests-initialization
timeout_in_minutes: 25
timeout_in_minutes: 45
device: h200_18gb
torch_nightly: true
source_file_dependencies:
- vllm/
- tests/models/test_initialization.py
@@ -13,11 +14,13 @@ 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
key: basic-models-tests-extra-initialization
timeout_in_minutes: 100
timeout_in_minutes: 45
source_file_dependencies:
- vllm/model_executor/models/
- tests/models/test_initialization.py
@@ -27,65 +30,31 @@ steps:
# subset of supported models (the complement of the small subset in the above
# 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: 4
parallelism: 2
mirror:
torch_nightly: {}
- label: Basic Models Tests (Other)
device: h200_35gb
key: basic-models-tests-other
timeout_in_minutes: 35
timeout_in_minutes: 45
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:
dind: false
device: mi300_1
timeout_in_minutes: 50
depends_on:
- image-build-amd
- label: Inkling Unit Tests (B200)
key: inkling-unit-tests-b200
timeout_in_minutes: 40
device: b200-k8s
source_file_dependencies:
- vllm/models/inkling/
- vllm/cute_utils/
- cmake/external_projects/tml_fa4.cmake
- tests/models/inkling/
commands:
# FA4 kernel tests require SM100; the suite skips them elsewhere.
- pytest -v -s models/inkling
- label: Kimi K3 Unit Tests (B200)
key: kimi-k3-unit-tests-b200
timeout_in_minutes: 40
device: b200-k8s
source_file_dependencies:
- vllm/models/kimi_k3/
- csrc/libtorch_stable/kimi_k3/
- tests/models/kimi_k3/
- tests/kernels/attention/test_kimi_k3_mla_fused_epilogue.py
- tests/kernels/test_bf16_skinny_gemm.py
commands:
# The native NVIDIA Kimi K3 kernels require the SM100 family.
- pytest -v -s models/kimi_k3 kernels/attention/test_kimi_k3_mla_fused_epilogue.py kernels/test_bf16_skinny_gemm.py
- 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
depends_on:
- image-build-cpu
timeout_in_minutes: 20
timeout_in_minutes: 10
source_file_dependencies:
- vllm/
- tests/models/test_utils.py
- tests/models/test_vision.py
- tests/models/test_adapters.py
- tests/models/transformers/fusers/
device: cpu-small
commands:
- pytest -v -s models/test_utils.py models/test_vision.py models/test_adapters.py models/transformers/fusers/
- pytest -v -s models/test_utils.py models/test_vision.py
@@ -4,7 +4,7 @@ depends_on:
steps:
- label: Distributed Model Tests (2 GPUs)
key: distributed-model-tests-2-gpus
timeout_in_minutes: 60
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
@@ -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
+19 -55
View File
@@ -4,7 +4,7 @@ depends_on:
steps:
- label: Language Models Tests (Standard)
key: language-models-tests-standard
timeout_in_minutes: 30
timeout_in_minutes: 25
device: h200_18gb
source_file_dependencies:
- vllm/
@@ -14,17 +14,11 @@ steps:
- pip freeze | grep -E 'torch'
- pytest -v -s models/language -m 'core_model and (not slow_test)'
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 45
depends_on:
- image-build-amd
torch_nightly: {}
- label: Language Models Tests (Extra Standard) %N
device: h200_35gb
key: language-models-tests-extra-standard
timeout_in_minutes: 40
timeout_in_minutes: 45
source_file_dependencies:
- vllm/model_executor/models/
- tests/models/language/pooling/test_embedding.py
@@ -37,42 +31,26 @@ 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:
dind: false
device: mi300_1
timeout_in_minutes: 40
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
device: h200_35gb
key: language-models-tests-hybrid
timeout_in_minutes: 65
timeout_in_minutes: 75
source_file_dependencies:
- vllm/
- tests/models/language/generation
commands:
# Install fast path packages for testing against transformers
# Note: also needed to run plamo2 model in vLLM
- uv pip install --system --no-build-isolation 'git+https://github.com/state-spaces/mamba@v2.3.0'
- uv pip install --system --no-build-isolation 'git+https://github.com/Dao-AILab/causal-conv1d@v1.6.0'
# Shard the hybrid language model tests that are numerically stable on Hopper.
- pytest -v -s models/language/generation -m hybrid_model -k 'not granite-4.0-tiny-preview' --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
# Shard hybrid language model tests
- 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:
dind: false
device: mi300_1
timeout_in_minutes: 60
device: mi325_1
depends_on:
- image-build-amd
commands:
@@ -80,37 +58,24 @@ steps:
- uv pip install --system --no-build-isolation 'git+https://github.com/Dao-AILab/causal-conv1d@v1.6.0'
- pytest -v -s models/language/generation -m hybrid_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
# Granite 4 hybrid generation is sensitive to hardware-specific Triton SSD
# autotuning (https://github.com/vllm-project/vllm/issues/25194). Keep this one
# correctness test on L4 until its H200 output matches the Transformers reference.
- label: Language Models Tests (Granite L4 Compatibility)
key: language-models-tests-granite-l4-compatibility
timeout_in_minutes: 65
source_file_dependencies:
- vllm/
- tests/models/language/generation
commands:
- uv pip install --system --no-build-isolation 'git+https://github.com/state-spaces/mamba@v2.3.0'
- uv pip install --system --no-build-isolation 'git+https://github.com/Dao-AILab/causal-conv1d@v1.6.0'
- pytest -v -s models/language/generation -m hybrid_model -k 'granite-4.0-tiny-preview'
- label: Language Models Test (Extended Generation) # 80min
device: h200_35gb
key: language-models-test-extended-generation
timeout_in_minutes: 65
timeout_in_minutes: 110
optional: true
source_file_dependencies:
- vllm/
- tests/models/language/generation
commands:
# Install fast path packages for testing against transformers
# Note: also needed to run plamo2 model in vLLM
- uv pip install --system --no-build-isolation 'git+https://github.com/state-spaces/mamba@v2.3.0'
- uv pip install --system --no-build-isolation 'git+https://github.com/Dao-AILab/causal-conv1d@v1.6.0'
- pytest -v -s models/language/generation -m '(not core_model) and (not hybrid_model)'
- label: Language Models Test (PPL)
key: language-models-test-ppl
timeout_in_minutes: 30
timeout_in_minutes: 110
device: h200_18gb
optional: true
source_file_dependencies:
@@ -119,10 +84,10 @@ steps:
commands:
- pytest -v -s models/language/generation_ppl_test
- label: Language Models Test (Extended Pooling)
- label: Language Models Test (Extended Pooling) # 36min
device: h200_35gb
key: language-models-test-extended-pooling
timeout_in_minutes: 120
timeout_in_minutes: 50
optional: true
source_file_dependencies:
- vllm/
@@ -131,15 +96,14 @@ steps:
- pytest -v -s models/language/pooling -m 'not core_model'
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 95
device: mi325_1
timeout_in_minutes: 100
depends_on:
- image-build-amd
- label: Language Models Test (MTEB)
key: language-models-test-mteb
timeout_in_minutes: 68
timeout_in_minutes: 110
device: h200_18gb
optional: true
source_file_dependencies:
+24 -55
View File
@@ -4,107 +4,99 @@ depends_on:
steps:
- label: "Multi-Modal Models (Standard) 1: qwen2"
key: multi-modal-models-standard-1-qwen2
timeout_in_minutes: 68
timeout_in_minutes: 45
device: h200_18gb
source_file_dependencies:
- 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:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 65
device: mi325_1
depends_on:
- image-build-amd
- label: "Multi-Modal Models (Standard) 2: qwen3 + gemma"
key: multi-modal-models-standard-2-qwen3-gemma
timeout_in_minutes: 75
timeout_in_minutes: 45
device: h200_18gb
source_file_dependencies:
- 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:
dind: false
device: mi300_1
timeout_in_minutes: 55
device: mi325_1
depends_on:
- image-build-amd
- label: "Multi-Modal Models (Standard) 3: llava + qwen2_vl"
device: h200_35gb
key: multi-modal-models-standard-3-llava-qwen2-vl
timeout_in_minutes: 40
timeout_in_minutes: 45
source_file_dependencies:
- 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:
amd:
device: mi250_1
timeout_in_minutes: 55
device: mi325_1
depends_on:
- image-build-amd
- label: "Multi-Modal Models (Standard) 4: other + whisper"
device: h200_35gb
key: multi-modal-models-standard-4-other-whisper
timeout_in_minutes: 75
timeout_in_minutes: 45
source_file_dependencies:
- 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:
dind: false
device: mi300_1
timeout_in_minutes: 50
depends_on:
- image-build-amd
- label: Multi-Modal Processor (CPU) %N
- label: Multi-Modal Processor (CPU)
key: multi-modal-processor-cpu
depends_on:
- image-build-cpu
timeout_in_minutes: 125
timeout_in_minutes: 60
source_file_dependencies:
- vllm/
- tests/models/multimodal
- tests/models/registry.py
device: cpu-medium
commands:
- pytest -v -s models/multimodal/processing --ignore models/multimodal/processing/test_tensor_schema.py --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB
parallelism: 4
- 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
key: multi-modal-processor
timeout_in_minutes: 98
timeout_in_minutes: 60
device: h200_18gb
source_file_dependencies:
- vllm/
- 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
device: h200_35gb
key: multi-modal-accuracy-eval-small-models
timeout_in_minutes: 30
timeout_in_minutes: 70
working_dir: "/vllm-workspace/.buildkite/lm-eval-harness"
source_file_dependencies:
- vllm/multimodal/
@@ -112,22 +104,8 @@ 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:
dind: false
device: mi300_1
timeout_in_minutes: 35
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)
device: h200_35gb
key: multi-modal-models-extended-generation-1
optional: true
source_file_dependencies:
@@ -135,13 +113,12 @@ 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:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 90
device: mi325_1
depends_on:
- image-build-amd
@@ -153,6 +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)
@@ -163,6 +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)
@@ -174,13 +153,3 @@ steps:
- tests/models/multimodal/pooling
commands:
- pytest -v -s models/multimodal/pooling -m 'not core_model'
mirror:
amd:
dind: false
device: mi300_1
timeout_in_minutes: 60
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/
- tests/models/multimodal/pooling

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