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khluuandClaude Opus 4.7 797cdc15f0 [CI] Use uv-installed standalone Python in vllm-base (drop deadsnakes)
The vllm-base stage installs python3.12 via the deadsnakes PPA, which
requires reaching launchpad.net (REST API) or ppa.launchpadcontent.net
(CDN). On the release-v2 build agents, both are unreachable
(Connection timed out to 185.125.190.80), causing the regular Ubuntu
22.04 release images to hang or fail at the apt-get update step.

Switch vllm-base to the same approach the `base` stage already uses:
uv installs a standalone python3.12 (via python-build-standalone,
hosted on astral.sh CDN) into /opt/venv, and we symlink it to
/usr/bin/python3. No Launchpad dependency.

Side benefits:
- Consistent python install path between `base` and `vllm-base`.
- Removes the software-properties-common / add-apt-repository step.
- Drops unused DEADSNAKES_MIRROR_URL / DEADSNAKES_GPGKEY_URL /
  GET_PIP_URL stage args.

Test branch: khluu/release-v0.20.1-uv-python (off releases/v0.20.1).

Signed-off-by: khluu <khluu000@gmail.com>

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 13:42:32 -07:00
khluuandClaude Opus 4.7 438f6548c1 [CI] Use deadsnakes mirror for non-Ubuntu24.04 release images
The 4 Ubuntu 22.04 release image builds (CUDA 12.9 / 13.0 x both archs)
hang for ~30min and intermittently fail because
`add-apt-repository ppa:deadsnakes/ppa` hits the launchpad.net REST API
to resolve PPA metadata, and that call has been timing out in CI:

    TimeoutError: [Errno 110] Connection timed out
    ...
    E: Unable to locate package python3.12

Plumb DEADSNAKES_MIRROR_URL and DEADSNAKES_GPGKEY_URL through to those
steps so the Dockerfile takes the mirror branch and writes the apt
source directly, skipping the flaky API call. The mirror points at the
public Launchpad CDN (same packages add-apt-repository would have
configured) and the GPG key comes from keyserver.ubuntu.com.

Ubuntu 24.04 builds are unaffected — they ship python3.12 in default
apt repos and never enter the deadsnakes branch.

Signed-off-by: khluu <khluu000@gmail.com>

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 13:25:05 -07:00
Yongye Zhuandkhluu 513b5f82dd [DSV4] Add knob to enable pre-attn gemm (#41443)
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
(cherry picked from commit bcf5cac9fb)
2026-05-01 12:24:17 -07:00
khluu 135722d58d Revert "."
This reverts commit a5e0ea09ea.
2026-05-01 12:23:33 -07:00
Rohan Potdarandkhluu 7758daca7c [ROCm][Bugfix][GPTOSS]: fix input_ids and expert_map args for quark w4a8 gptoss (#41165)
Signed-off-by: Rohan138 <rohanpotdar138@gmail.com>
(cherry picked from commit 3795d7acf4)
2026-05-01 12:17:45 -07:00
Isotr0pyandkhluu 5f79634b3b [Perf] Intergrate Tile Kernels head_compute_mix_kernel for Deepseek-V4 (#41255)
Signed-off-by: Isotr0py <Isotr0py@outlook.com>
Co-authored-by: Roger Wang <hey@rogerw.io>
(cherry picked from commit a9484dac7b)
2026-05-01 12:17:28 -07:00
Bugen Zhaoandkhluu 05adde9955 [Bugfix] Pass reasoning parser kwargs to structured output (#41199)
Signed-off-by: Bugen Zhao <i@bugenzhao.com>
Co-authored-by: wang.yuqi <yuqi.wang@daocloud.io>
(cherry picked from commit a07642667d)
2026-05-01 12:14:44 -07:00
Jiangyun Zhuandkhluu 9cdcda5fc2 [Bugfix] BailingMoeV2.5: rotate full qk_rope_head_dim in MLA RoPE (#41185)
Signed-off-by: zjy0516 <riverclouds.zhu@qq.com>
(cherry picked from commit 6d7d4da99e)
2026-05-01 12:13:50 -07:00
JiangWeixiangandkhluu a5d4a264dd [Bugfix ] fix bailing_moe_linear (#40859)
Signed-off-by: ghphotoframe <854746559@qq.com>
(cherry picked from commit ed57f77192)
2026-05-01 12:13:41 -07:00
Yongye Zhuandkhluu a5e0ea09ea .
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>

(cherry picked from commit db0c9d52d4)

Signed-off-by: khluu <khluu000@gmail.com>
2026-04-30 23:16:02 -07:00
Yongye Zhuandkhluu 28a1a85d89 [DSV4] Add BF16 and MXFP8 A2A support for flashinfer a2a one sided (#40960)
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
Signed-off-by: Zijing Liu <liuzijing2014@gmail.com>
Co-authored-by: Zijing Liu <liuzijing2014@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
(cherry picked from commit b4806c8ee1)
2026-04-30 21:39:14 -07:00
Yongye Zhuandkhluu 82ccd9f3b2 [Bugfix] Fix persistent_topk cooperative deadlock at TopK=1024 (#41189)
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
(cherry picked from commit a749a33d8d)
2026-04-30 21:39:14 -07:00
Thien Tranandkhluu d9f3961abb [DSv4] Use cvt PTX for FP32->FP4 conversion (#41015)
Signed-off-by: Thien Tran <gau.nernst@yahoo.com.sg>
(cherry picked from commit 296741d025)
2026-04-30 21:39:14 -07:00
Jee Jee Liandkhluu 4fee1390f4 [Bugfix] Fix repeated DSv4 RoPE cache initialization (#41148)
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
(cherry picked from commit 9d8ad5b408)
2026-04-30 21:39:14 -07:00
Chaunceyandkhluu bf590b6a24 [Bugfix] DSV32/V4 add missing type conversion for non-streaming tool calls (#41198)
Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>
(cherry picked from commit 762022cafb)
2026-04-30 21:39:13 -07:00
Wei Zhaoandkhluu 66df2c03f5 [Bugfix] Fix max_num_batched_token not captured in cuda graph (#40734)
Signed-off-by: wzhao18 <wzhao18.sz@gmail.com>
Signed-off-by: Wei Zhao <51183510+wzhao18@users.noreply.github.com>
Co-authored-by: Wei Zhao (Engrg-Hardware 1) <weizha@login-bia02.bia.clusters.nvidia.com>
(cherry picked from commit 8b49cf3a37)
2026-04-30 21:39:13 -07:00
Jiangyun Zhuandkhluu 17896d817b [Bugfix] fix inductor error for dpsk v4 (#41135)
Signed-off-by: zjy0516 <riverclouds.zhu@qq.com>
(cherry picked from commit 2ae73c758c)
2026-04-30 21:39:13 -07:00
Wei Zhaoandkhluu 1a131a066c [Bugfix] Fix Deepseek V4 import error due to AOT compile cache loading (#41090)
Signed-off-by: wzhao18 <wzhao18.sz@gmail.com>
Signed-off-by: Wei Zhao <51183510+wzhao18@users.noreply.github.com>
(cherry picked from commit 803b9d7881)
2026-04-30 21:39:13 -07:00
qizixiandkhluu 6fffb0b8c8 [DSV4] Align aux stream API with DeepseekV4DecoderLayer (#41171)
Signed-off-by: zixi-qi <zixi@inferact.ai>
(cherry picked from commit 6fb3f7b46b)
2026-04-30 21:39:13 -07:00
Nick Hillandkhluu a076bd1e67 [Core] Account for num_gpu_blocks_override in max_model_len checks (#41069)
Signed-off-by: Nick Hill <nickhill123@gmail.com>
(cherry picked from commit e68fa1b90a)
2026-04-30 21:39:13 -07:00
Yongye Zhuandkhluu c244b6fc83 [DSV4] Enable Multi-stream for Pre-Attn GEMM (#41061)
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
(cherry picked from commit 5aa371dc8e)
2026-04-30 21:39:13 -07:00
Jee Jee Liandkhluu 15cc87d2fe [Model][DSV4] Support base model (#41006)
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
(cherry picked from commit 2c8b76c5cb)
2026-04-30 21:39:13 -07:00
youkaichaoandkhluu c68fa39ced Auto-disable expandable_segments around cumem memory pool (#40812)
Signed-off-by: youkaichao <youkaichao@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
(cherry picked from commit 2ce95a761b)
2026-04-30 21:39:13 -07:00
Yongye ZhuandGitHub 05ebca5250 Temporary disable persistent topk (#41442)
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
2026-04-30 20:37:19 -07:00
Zhewen Liandkhluu 88d34c6409 [Docker] Install numactl CLI in CUDA runtime image (#41032)
Signed-off-by: Zhewen Li <zhewenli@inferact.ai>
Co-authored-by: Zhewen Li <zhewenli@inferact.ai>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
(cherry picked from commit 6232fb4b66)
2026-04-27 12:04:32 -07:00
Yongye Zhuandkhluu b8160878f0 [DSV4] Add silu clamp limit to shared expert (#40950)
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
(cherry picked from commit 706a04d34b)
2026-04-27 00:40:46 -07:00
Dao007foreverandkhluu 84c276d7ea [Bugfix] Cap SWA/chunked-local runtime admission to startup pool-sizing bound (#40946)
Signed-off-by: Dao Le <Dao007forever@gmail.com>
Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
(cherry picked from commit 7b1bc0a3eb)
2026-04-26 21:43:00 -07:00
khluu 5eb3657578 Revert "[Frontend] Remove frontend pooling multi task support. (#37861)"
This reverts commit d2e2e856ad.
2026-04-26 21:42:15 -07:00
3974 changed files with 152791 additions and 642448 deletions
-1
View File
@@ -8,7 +8,6 @@ run_all_patterns:
- "CMakeLists.txt"
- "requirements/common.txt"
- "requirements/cuda.txt"
- "requirements/kv_connectors.txt"
- "requirements/build/cuda.txt"
- "requirements/test/cuda.txt"
- "setup.py"
+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"
+15 -77
View File
@@ -1,84 +1,22 @@
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 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
+26 -86
View File
@@ -12,41 +12,28 @@ steps:
- vllm/_custom_ops.py
- tests/kernels/attention/test_cpu_attn.py
- tests/kernels/moe/test_cpu_fused_moe.py
- tests/kernels/moe/test_cpu_quant_fused_moe.py
- 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 "
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 20m "
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/test_awq_int4_to_int8.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: []
@@ -59,57 +46,34 @@ 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"
- label: CPU-ModelRunnerV2 Tests
depends_on: []
device: intel_cpu
no_plugin: true
soft_fail: true
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"
- label: CPU-Quantization Model Tests
depends_on: []
device: intel_cpu
no_plugin: true
source_file_dependencies:
- csrc/cpu/
- vllm/model_executor/layers/quantization/auto_gptq.py
- vllm/model_executor/layers/quantization/cpu_wna16.py
- vllm/model_executor/layers/quantization/gptq_marlin.py
- vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w8a8_int8.py
- vllm/model_executor/kernels/linear/mixed_precision/cpu.py
- vllm/model_executor/kernels/linear/scaled_mm/cpu.py
- vllm/model_executor/layers/fused_moe/experts/cpu_moe.py
- vllm/model_executor/layers/quantization/kernels/scaled_mm/cpu.py
- vllm/model_executor/layers/quantization/kernels/mixed_precision/cpu.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 20m "
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)
- label: CPU-Distributed Tests
depends_on: []
device: intel_cpu
no_plugin: true
source_file_dependencies: &cpu_distributed_deps
source_file_dependencies:
- csrc/cpu/shm.cpp
- vllm/v1/worker/cpu_worker.py
- vllm/v1/worker/gpu_worker.py
@@ -118,21 +82,10 @@ steps:
- vllm/platforms/cpu.py
- vllm/distributed/parallel_state.py
- vllm/distributed/device_communicators/cpu_communicator.py
- .buildkite/scripts/hardware_ci/run-cpu-distributed-smoke-test.sh
commands:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 10m "
bash .buildkite/scripts/hardware_ci/run-cpu-distributed-smoke-test.sh tp_pp"
- label: CPU-Distributed Tests (DP+TP)
depends_on: []
device: intel_cpu
no_plugin: true
source_file_dependencies: *cpu_distributed_deps
commands:
- |
bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 10m "
bash .buildkite/scripts/hardware_ci/run-cpu-distributed-smoke-test.sh dp_tp"
bash .buildkite/scripts/hardware_ci/run-cpu-distributed-smoke-test.sh"
- label: CPU-Multi-Modal Model Tests %N
depends_on: []
@@ -145,21 +98,8 @@ 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: []
+7
View File
@@ -8,3 +8,10 @@ steps:
commands:
- bash .buildkite/scripts/hardware_ci/run-hpu-test.sh
- label: "Intel GPU Test"
depends_on: []
soft_fail: true
device: intel_gpu
no_plugin: true
commands:
- bash .buildkite/scripts/hardware_ci/run-xpu-test.sh
@@ -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" "$BUILDKITE_COMMIT"'
env:
DOCKER_BUILDKIT: "1"
retry:
automatic:
- exit_status: -1 # Agent was lost
limit: 2
- exit_status: -10 # Agent was lost
limit: 2
- label: "XPU example Test"
depends_on:
- image-build-xpu
timeout_in_minutes: 50
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh example'
- label: "XPU V1 test"
depends_on:
- image-build-xpu
timeout_in_minutes: 70
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh v1'
- label: "XPU server test"
depends_on:
- image-build-xpu
timeout_in_minutes: 45
optional: true
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
- .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh server'
-21
View File
@@ -79,18 +79,12 @@ setup_buildx_builder() {
docker buildx ls | grep -E '^\*|^NAME' || docker buildx ls
}
annotate_image_tags() {
.buildkite/scripts/annotate-image-build.sh \
"${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="${VLLM_BAKE_FILE_PATH:-docker/docker-bake.hcl}"
@@ -210,7 +192,6 @@ export BUILDKITE_COMMIT
export PARENT_COMMIT
export IMAGE_TAG
export IMAGE_TAG_LATEST
export COMMIT="${COMMIT:-${BUILDKITE_COMMIT}}"
export CACHE_FROM
export CACHE_FROM_BASE_BRANCH
export CACHE_FROM_MAIN
@@ -272,5 +253,3 @@ 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
-72
View File
@@ -13,60 +13,6 @@ steps:
- 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
# 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 "$IMAGE_TAG" -c "import vllm; print(vllm.__version__)"
# Smoke 2: assert the non-root enabling invariants are baked
# into the image. Runs as UID 2000:0 via a shell so we can verify
# filesystem perms + passwd/group file state + wrapper presence without
# triggering vLLM's GPU-requiring config-init path. The opt-in
# `vllm-openai-nonroot` target adds only `USER vllm`, `WORKDIR
# /home/vllm`, and an `ENTRYPOINT` override on top of these invariants;
# its build correctness is reviewed at the Dockerfile level. Wrapper
# logic is covered separately by the pre-commit hook
# `test-nonroot-entrypoint` (see .pre-commit-config.yaml).
- |
docker run --rm --user 2000:0 --entrypoint /bin/sh "$IMAGE_TAG" -ec '
if ! getent passwd 2000 | grep -q ^vllm:; then
echo FAIL: UID 2000 != vllm
exit 1
fi
if ! id -gn 2>/dev/null | grep -qx root; then
echo FAIL: GID 0 not root group
exit 1
fi
touch /home/vllm/.smoke && rm /home/vllm/.smoke
touch /opt/uv/cache/.smoke && rm /opt/uv/cache/.smoke
if ! test -x /usr/local/bin/vllm-nonroot-entrypoint.sh; then
echo FAIL: wrapper missing
exit 1
fi
if ! test -w /etc/passwd; then
echo FAIL: /etc/passwd not group-writable
exit 1
fi
if ! test -w /etc/group; then
echo FAIL: /etc/group not group-writable
exit 1
fi
echo non-root invariants OK
'
retry:
automatic:
- exit_status: -1 # Agent was lost
limit: 2
- exit_status: -10 # Agent was lost
limit: 2
- label: ":docker: Build CPU image"
key: image-build-cpu
depends_on: []
@@ -110,21 +56,3 @@ steps:
limit: 2
- exit_status: -10 # Agent was lost
limit: 2
- label: ":docker: Build arm64 image"
key: arm64-image-build
depends_on: []
source_file_dependencies:
- ".buildkite/image_build/image_build.yaml"
- ".buildkite/image_build/image_build_arm64.sh"
- "docker/Dockerfile"
commands:
- .buildkite/image_build/image_build_arm64.sh $REGISTRY $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
@@ -1,39 +0,0 @@
#!/bin/bash
set -e
if [[ $# -lt 3 ]]; then
echo "Usage: $0 <registry> <repo> <commit>"
exit 1
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
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 "$IMAGE"
fi
.buildkite/scripts/annotate-image-build.sh "$IMAGE"
+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
+16 -16
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 "$REGISTRY" || true
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY"
# 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"
+16 -16
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 "$REGISTRY" || true
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 936637512419.dkr.ecr.us-east-1.amazonaws.com || true
aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY"
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 936637512419.dkr.ecr.us-east-1.amazonaws.com
# 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'
-4
View File
@@ -5,10 +5,6 @@ steps:
- label: Engine (1 GPU)
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
@@ -1,27 +0,0 @@
group: Expert Parallelism
depends_on:
- image-build-xpu
steps:
- label: EPLB Algorithm
key: eplb-algorithm
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/distributed/eplb
- tests/distributed/test_eplb_algo.py
- tests/distributed/test_eplb_utils.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s distributed/test_eplb_algo.py'
-4
View File
@@ -5,10 +5,6 @@ steps:
- label: vLLM IR Tests
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
working_dir: "."
env:
+11 -42
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:
@@ -22,26 +18,21 @@ steps:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
pytest -v -s lora/test_layers.py &&
pytest -v -s lora/test_lora_checkpoints.py &&
pytest -v -s lora/test_lora_functions.py &&
(pytest -v -s lora/test_lora_functions.py --deselect="tests/lora/test_lora_functions.py::test_lora_functions_sync" --deselect="tests/lora/test_lora_functions.py::test_lora_functions_async" || true) &&
pytest -v -s lora/test_lora_huggingface.py &&
pytest -v -s lora/test_lora_manager.py &&
pytest -v -s lora/test_lora_utils.py &&
pytest -v -s lora/test_peft_helper.py &&
pytest -v -s lora/test_resolver.py &&
pytest -v -s lora/test_utils.py &&
pytest -v -s lora/test_add_lora.py &&
pytest -v -s lora/test_worker.py'
(pytest -v -s lora/test_add_lora.py --deselect="tests/lora/test_add_lora.py::test_add_lora" || true) &&
(pytest -v -s lora/test_worker.py --deselect="tests/lora/test_worker.py::test_worker_apply_lora" || true)'
- 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:
@@ -55,17 +46,12 @@ steps:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
pytest -v -s lora/test_fused_moe_lora_kernel.py &&
pytest -v -s lora/test_moe_lora_align_sum.py --deselect="tests/lora/test_moe_lora_align_sum.py::test_moe_lora_align_block_size_mixed_base_and_lora[1]"'
pytest -v -s lora/test_moe_lora_align_sum.py'
- 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:
@@ -79,19 +65,12 @@ steps:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'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[shrink-0-xpu:0-dtype0-2-2049-64-32-32]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[expand-0-xpu:0-dtype1-2-64000-32-4-4]" --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]" --deselect="tests/lora/test_punica_ops.py::test_kernels_hidden_size[expand-0-xpu:0-dtype1-1-102656-32-4-4]"'
- 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:
@@ -105,17 +84,12 @@ steps:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
pytest -v -s lora/test_punica_ops_fp8.py &&
pytest -v -s lora/test_punica_xpu_ops.py'
- label: LoRA Models
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 24+
no_plugin: true
working_dir: "."
env:
@@ -129,20 +103,14 @@ 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'
pytest -v -s lora/test_qwen35_densemodel_lora.py &&
pytest -v -s lora/test_transformers_model.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:
@@ -156,6 +124,7 @@ steps:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
pytest -v -s lora/test_default_mm_loras.py &&
(pytest -v -s lora/test_qwen3_unembed.py || true) &&
(pytest -v -s lora/test_qwenvl.py || true) &&
pytest -v -s lora/test_whisper.py'
+7 -213
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:
@@ -46,216 +38,18 @@ 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
- tests/v1/test_request.py
- tests/v1/test_outputs.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'pip install lm_eval[api]>=0.4.12 &&
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 (2 GPUs)
timeout_in_minutes: 60
num_devices: 2
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/v1/worker/kv_connector_model_runner_mixin.py
- tests/v1/kv_connector/nixl_integration/
- vllm/platforms/xpu.py
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
bash v1/kv_connector/nixl_integration/run_xpu_disagg_accuracy_test.sh'
- label: Regression
key: regression
timeout_in_minutes: 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'
pytest -v -s v1/logits_processors &&
pytest -v -s v1/test_oracle.py &&
pytest -v -s v1/test_request.py &&
pytest -v -s v1/test_outputs.py'
@@ -1,62 +0,0 @@
group: Model Runner V2 Intel
depends_on:
- image-build-xpu
steps:
- label: Model Runner V2 Core Tests (Intel)
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 2+
mem: 16+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/v1/worker/gpu/
- vllm/v1/worker/gpu_worker.py
- vllm/v1/core/sched/
- vllm/v1/attention/
- tests/v1/engine/test_llm_engine.py
- tests/v1/e2e/
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'export VLLM_USE_V2_MODEL_RUNNER=1 &&
cd tests &&
pytest -v -s v1/engine/test_llm_engine.py -k "not test_engine_metrics" &&
ENFORCE_EAGER=1 pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram" &&
pytest -v -s v1/e2e/general/test_min_tokens.py'
- label: Model Runner V2 Examples (Intel)
timeout_in_minutes: 45
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 24+
no_plugin: true
working_dir: "."
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/v1/worker/gpu/
- vllm/v1/core/sched/
- vllm/v1/worker/gpu_worker.py
- examples/basic/offline_inference/
- examples/generate/multimodal/
- examples/features/
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'export VLLM_USE_V2_MODEL_RUNNER=1 &&
cd examples &&
python3 basic/offline_inference/chat.py &&
python3 basic/offline_inference/generate.py --model facebook/opt-125m &&
python3 generate/multimodal/vision_language_offline.py --seed 0 &&
python3 features/automatic_prefix_caching/prefix_caching_offline.py'
@@ -1,27 +0,0 @@
group: Models - Distributed
depends_on:
- image-build-xpu
steps:
- label: Distributed Model Tests (2 GPUs)
key: distributed-model-tests-2-gpus
timeout_in_minutes: 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]"'
+5 -111
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"
@@ -40,48 +36,14 @@ steps:
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 &&
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 ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 --enable-expert-parallel'
- 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"
@@ -99,73 +61,5 @@ 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/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
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
'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'
- label: "XPU quantization test"
depends_on:
- image-build-xpu
timeout_in_minutes: 30
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
source_file_dependencies:
- vllm/
- .buildkite/intel_jobs/test-intel.yaml
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s quantization/test_auto_round.py'
- label: "XPU compressed tensors FP8 test"
depends_on:
- image-build-xpu
timeout_in_minutes: 60
device: intel_gpu
agent_tags:
label: production
gpu: 1+
mem: 16+
no_plugin: true
env:
REGISTRY: "public.ecr.aws/q9t5s3a7"
REPO: "vllm-ci-test-repo"
VLLM_TEST_DEVICE: "xpu"
source_file_dependencies:
- vllm/
- tests/quantization/test_compressed_tensors.py
- .buildkite/intel_jobs/test-intel.yaml
commands:
- >-
bash .buildkite/scripts/hardware_ci/run-intel-test.sh
'cd tests &&
pytest -v -s quantization/test_compressed_tensors.py::test_compressed_tensors_fp8'
pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_tree_attention.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'
@@ -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
@@ -2,7 +2,7 @@
# We can use this script to compute baseline accuracy on chartqa for vllm.
#
# Make sure you have lm-eval-harness installed:
# pip install "lm-eval[api]>=0.4.12"
# pip install "lm-eval[api]>=0.4.11"
usage() {
echo``
@@ -2,7 +2,7 @@
# We can use this script to compute baseline accuracy on GSM for transformers.
#
# Make sure you have lm-eval-harness installed:
# pip install "lm-eval[api]>=0.4.12"
# pip install "lm-eval[api]>=0.4.11"
usage() {
echo``
@@ -3,7 +3,7 @@
# We use this for fp8, which HF does not support.
#
# Make sure you have lm-eval-harness installed:
# pip install "lm-eval[api]>=0.4.12"
# pip install "lm-eval[api]>=0.4.11"
usage() {
echo``
@@ -3,7 +3,7 @@
# We use this for fp8, which HF does not support.
#
# Make sure you have lm-eval-harness installed:
# pip install "lm-eval[api]>=0.4.12"
# pip install "lm-eval[api]>=0.4.11"
usage() {
echo``
@@ -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,
@@ -30,9 +31,30 @@
}
},
"tests": [
{
"test_name": "serving_llama8B_tp1_sharegpt",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "sharegpt",
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json"
}
},
{
"test_name": "serving_llama8B_tp2_sharegpt",
"server_parameters": {
"tensor_parallel_size": 2
},
"client_parameters": {
"dataset_name": "sharegpt",
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json"
}
},
{
"test_name": "serving_llama8B_tp1_random_128_128",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "random",
@@ -40,10 +62,158 @@
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_tp2_random_128_128",
"server_parameters": {
"tensor_parallel_size": 2
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_tp4_random_128_128",
"server_parameters": {
"tensor_parallel_size": 4
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_tp1_random_128_2048",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 2048
}
},
{
"test_name": "serving_llama8B_tp2_random_128_2048",
"server_parameters": {
"tensor_parallel_size": 2
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 2048
}
},
{
"test_name": "serving_llama8B_tp4_random_128_2048",
"server_parameters": {
"tensor_parallel_size": 4
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 2048
}
},
{
"test_name": "serving_llama8B_tp1_random_2048_128",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 2048,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_tp2_random_2048_128",
"server_parameters": {
"tensor_parallel_size": 2
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 2048,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_tp4_random_2048_128",
"server_parameters": {
"tensor_parallel_size": 4
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 2048,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_tp1_random_2048_2048",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 2048,
"random-output-len": 2048
}
},
{
"test_name": "serving_llama8B_tp2_random_2048_2048",
"server_parameters": {
"tensor_parallel_size": 2
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 2048,
"random-output-len": 2048
}
},
{
"test_name": "serving_llama8B_tp4_random_2048_2048",
"server_parameters": {
"tensor_parallel_size": 4
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 2048,
"random-output-len": 2048
}
},
{
"test_name": "serving_llama8B_int4_tp1_random_128_128",
"server_parameters": {
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4"
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_int4_tp2_random_128_128",
"server_parameters": {
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
"tensor_parallel_size": 2
},
"client_parameters": {
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_int4_tp4_random_128_128",
"server_parameters": {
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
"tensor_parallel_size": 4
},
"client_parameters": {
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
@@ -55,7 +225,8 @@
{
"test_name": "serving_llama8B_int8_tp1_random_128_128",
"server_parameters": {
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8"
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
@@ -65,12 +236,26 @@
}
},
{
"test_name": "serving_llama1B_tp1_random_128_128",
"test_name": "serving_llama8B_int8_tp2_random_128_128",
"server_parameters": {
"model": "meta-llama/Llama-3.2-1B"
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
"tensor_parallel_size": 2
},
"client_parameters": {
"model": "meta-llama/Llama-3.2-1B",
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_int8_tp4_random_128_128",
"server_parameters": {
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
"tensor_parallel_size": 4
},
"client_parameters": {
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
@@ -79,7 +264,8 @@
{
"test_name": "serving_llama3B_tp1_random_128_128",
"server_parameters": {
"model": "meta-llama/Llama-3.2-3B-Instruct"
"model": "meta-llama/Llama-3.2-3B-Instruct",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "meta-llama/Llama-3.2-3B-Instruct",
@@ -88,22 +274,11 @@
"random-output-len": 128
}
},
{
"test_name": "serving_llama70B_tp1_random_128_128",
"server_parameters": {
"model": "meta-llama/Llama-3.3-70B-Instruct"
},
"client_parameters": {
"model": "meta-llama/Llama-3.3-70B-Instruct",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_granite2B_tp1_random_128_128",
"server_parameters": {
"model": "ibm-granite/granite-3.2-2b-instruct"
"model": "ibm-granite/granite-3.2-2b-instruct",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "ibm-granite/granite-3.2-2b-instruct",
@@ -115,7 +290,8 @@
{
"test_name": "serving_qwen1.7B_tp1_random_128_128",
"server_parameters": {
"model": "Qwen/Qwen3-1.7B"
"model": "Qwen/Qwen3-1.7B",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "Qwen/Qwen3-1.7B",
@@ -127,7 +303,8 @@
{
"test_name": "serving_qwen4B_tp1_random_128_128",
"server_parameters": {
"model": "Qwen/Qwen3-4B"
"model": "Qwen/Qwen3-4B",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "Qwen/Qwen3-4B",
@@ -139,7 +316,8 @@
{
"test_name": "serving_qwen8B_tp1_random_128_128",
"server_parameters": {
"model": "Qwen/Qwen3-8B"
"model": "Qwen/Qwen3-8B",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "Qwen/Qwen3-8B",
@@ -148,34 +326,11 @@
"random-output-len": 128
}
},
{
"test_name": "serving_qwen14B_tp1_random_128_128",
"server_parameters": {
"model": "Qwen/Qwen3-14B"
},
"client_parameters": {
"model": "Qwen/Qwen3-14B",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_qwen30B_tp1_random_128_128",
"server_parameters": {
"model": "Qwen/Qwen3-30B-A3B"
},
"client_parameters": {
"model": "Qwen/Qwen3-30B-A3B",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_glm9B_tp1_random_128_128",
"server_parameters": {
"model": "zai-org/glm-4-9b-hf"
"model": "zai-org/glm-4-9b-hf",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "zai-org/glm-4-9b-hf",
@@ -187,7 +342,8 @@
{
"test_name": "serving_gemma7B_tp1_random_128_128",
"server_parameters": {
"model": "google/gemma-7b"
"model": "google/gemma-7b",
"tensor_parallel_size": 1
},
"client_parameters": {
"model": "google/gemma-7b",
@@ -195,94 +351,6 @@
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_gemma3-4b_tp1_random_128_128",
"server_environment_variables": {
"VLLM_CPU_SGL_KERNEL": 0
},
"server_parameters": {
"model": "google/gemma-3-4b-it"
},
"client_parameters": {
"model": "google/gemma-3-4b-it",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_gemma3-12b_tp1_random_128_128",
"server_environment_variables": {
"VLLM_CPU_SGL_KERNEL": 0
},
"server_parameters": {
"model": "google/gemma-3-12b-it"
},
"client_parameters": {
"model": "google/gemma-3-12b-it",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_gemma4-4b_tp1_random_128_128",
"server_environment_variables": {
"VLLM_CPU_SGL_KERNEL": 0
},
"server_parameters": {
"model": "google/gemma-4-E4B-it"
},
"client_parameters": {
"model": "google/gemma-4-E4B-it",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_gemma4-2b_tp1_random_128_128",
"server_environment_variables": {
"VLLM_CPU_SGL_KERNEL": 0
},
"server_parameters": {
"model": "google/gemma-4-E2B-it"
},
"client_parameters": {
"model": "google/gemma-4-E2B-it",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_gemma4-26b_tp1_random_128_128",
"server_environment_variables": {
"VLLM_CPU_SGL_KERNEL": 0,
"VLLM_CPU_ATTN_SPLIT_KV": 0
},
"server_parameters": {
"model": "google/gemma-4-26B-A4B-it"
},
"client_parameters": {
"model": "google/gemma-4-26B-A4B-it",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_phi4_tp1_random_128_128",
"server_parameters": {
"model": "microsoft/Phi-4-reasoning"
},
"client_parameters": {
"model": "microsoft/Phi-4-reasoning",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
}
]
}
@@ -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,
@@ -1,112 +1,77 @@
{
"defaults": {
"qps_list": [
"inf"
],
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
"server_parameters": {
"model": "meta-llama/Llama-3.1-8B-Instruct",
"tensor_parallel_size": 1,
"dtype": "bfloat16"
[
{
"test_name": "serving_llama8B_tp1_sharegpt",
"qps_list": [1, 4, 16, "inf"],
"server_parameters": {
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"tensor_parallel_size": 1,
"disable_log_stats": "",
"load_format": "dummy"
},
"client_parameters": {
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"backend": "vllm",
"dataset_name": "sharegpt",
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
"temperature": 0,
"num_prompts": 200
}
},
"client_parameters": {
"model": "meta-llama/Llama-3.1-8B-Instruct",
"backend": "vllm",
"ignore-eos": "",
"temperature": 0,
"num_prompts": 200
{
"test_name": "serving_llama70B_tp4_sharegpt",
"qps_list": [1, 4, 16, "inf"],
"server_parameters": {
"model": "meta-llama/Meta-Llama-3.1-70B-Instruct",
"tensor_parallel_size": 4,
"disable_log_stats": "",
"load_format": "dummy"
},
"client_parameters": {
"model": "meta-llama/Meta-Llama-3.1-70B-Instruct",
"backend": "vllm",
"dataset_name": "sharegpt",
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
"temperature": 0,
"num_prompts": 200
}
},
{
"test_name": "serving_mixtral8x7B_tp2_sharegpt",
"qps_list": [1, 4, 16, "inf"],
"server_parameters": {
"model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
"tensor_parallel_size": 2,
"disable_log_stats": "",
"load_format": "dummy"
},
"client_parameters": {
"model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
"backend": "vllm",
"dataset_name": "sharegpt",
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
"temperature": 0,
"num_prompts": 200
}
},
{
"test_name": "serving_llama70B_tp4_sharegpt_specdecode",
"qps_list": [2],
"server_parameters": {
"model": "meta-llama/Meta-Llama-3.1-70B-Instruct",
"tensor_parallel_size": 4,
"speculative_config": {
"model": "turboderp/Qwama-0.5B-Instruct",
"num_speculative_tokens": 4,
"draft_tensor_parallel_size": 1
}
},
"client_parameters": {
"model": "meta-llama/Meta-Llama-3.1-70B-Instruct",
"backend": "vllm",
"dataset_name": "sharegpt",
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
"temperature": 0,
"num_prompts": 200
}
}
},
"tests": [
{
"test_name": "serving_llama8B_tp1_sharegpt",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "sharegpt",
"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": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_tp1_random_128_2048",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 2048
}
},
{
"test_name": "serving_llama8B_tp1_random_2048_128",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 2048,
"random-output-len": 128
}
},
{
"test_name": "serving_llama8B_tp1_random_2048_2048",
"server_parameters": {
"tensor_parallel_size": 1
},
"client_parameters": {
"dataset_name": "random",
"random-input-len": 2048,
"random-output-len": 2048
}
},
{
"test_name": "serving_llama70B_tp4_random_128_128",
"server_parameters": {
"model": "meta-llama/Llama-3.3-70B-Instruct",
"async_scheduling": "",
"no_enable_prefix_caching": "",
"max_num_batched_tokens": 8192
},
"client_parameters": {
"model": "meta-llama/Llama-3.3-70B-Instruct",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
},
{
"test_name": "serving_gemma4-e4b_tp1_random_128_128",
"server_parameters": {
"model": "google/gemma-4-E4B-it",
"enable_auto_tool_choice": "",
"tool_call_parser": "gemma4",
"chat_template": "examples/tool_chat_template_gemma4.jinja",
"reasoning_parser": "gemma4"
},
"client_parameters": {
"model": "google/gemma-4-E4B-it",
"dataset_name": "random",
"random-input-len": 128,
"random-output-len": 128
}
}
]
}
]
@@ -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
@@ -1,10 +0,0 @@
#!/bin/bash
# SPDX-License-Identifier: Apache-2.0
# 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>
set -e
echo "- **${1}**: \`${2}\`" | \
buildkite-agent annotate --append --style 'info' \
--context "${3:?context is required}"
@@ -1,36 +0,0 @@
#!/bin/bash
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Append the Docker image tag(s) an image-build step pushed to a Buildkite
# annotation, so the built image tags show up on the build page instead of
# being buried in the job logs.
#
# Usage: annotate-image-build.sh <image_tag> [<image_tag> ...]
set -euo pipefail
# buildkite-agent only exists on Buildkite agents; no-op elsewhere so the
# image build scripts stay runnable locally.
if ! command -v buildkite-agent >/dev/null 2>&1; then
echo "buildkite-agent not found; skipping image tag annotation"
exit 0
fi
label="${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' "$content" | \
buildkite-agent annotate --append --style 'info' --context 'docker-images'; then
echo "warning: failed to annotate build with image tags"
fi
+119
View File
@@ -0,0 +1,119 @@
#!/bin/bash
set -ex
# Get release version, default to 1.0.0.dev for nightly/per-commit builds
RELEASE_VERSION=$(buildkite-agent meta-data get release-version 2>/dev/null | sed 's/^v//')
if [ -z "${RELEASE_VERSION}" ]; then
RELEASE_VERSION="1.0.0.dev"
fi
ROCM_BASE_CACHE_KEY=$(.buildkite/scripts/cache-rocm-base-wheels.sh key)
buildkite-agent annotate --style 'info' --context 'release-workflow' << EOF
To download the wheel (by commit):
\`\`\`
aws s3 cp s3://vllm-wheels/${BUILDKITE_COMMIT}/vllm-${RELEASE_VERSION}-cp38-abi3-manylinux_2_35_x86_64.whl .
aws s3 cp s3://vllm-wheels/${BUILDKITE_COMMIT}/vllm-${RELEASE_VERSION}-cp38-abi3-manylinux_2_35_aarch64.whl .
(Optional) For CUDA 12.9:
aws s3 cp s3://vllm-wheels/${BUILDKITE_COMMIT}/vllm-${RELEASE_VERSION}+cu129-cp38-abi3-manylinux_2_31_x86_64.whl .
aws s3 cp s3://vllm-wheels/${BUILDKITE_COMMIT}/vllm-${RELEASE_VERSION}+cu129-cp38-abi3-manylinux_2_31_aarch64.whl .
(Optional) For CPU:
aws s3 cp s3://vllm-wheels/${BUILDKITE_COMMIT}/vllm-${RELEASE_VERSION}+cpu-cp38-abi3-manylinux_2_35_x86_64.whl .
aws s3 cp s3://vllm-wheels/${BUILDKITE_COMMIT}/vllm-${RELEASE_VERSION}+cpu-cp38-abi3-manylinux_2_35_aarch64.whl .
\`\`\`
To download and upload the image:
\`\`\`
# Download images:
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-x86_64
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-aarch64
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-x86_64-cu129
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-aarch64-cu129
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${ROCM_BASE_CACHE_KEY}-rocm-base
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-rocm
docker pull public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v${RELEASE_VERSION}
docker pull public.ecr.aws/q9t5s3a7/vllm-arm64-cpu-release-repo:v${RELEASE_VERSION}
# Tag and push images:
## CUDA
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-x86_64 vllm/vllm-openai:x86_64
docker tag vllm/vllm-openai:x86_64 vllm/vllm-openai:latest-x86_64
docker tag vllm/vllm-openai:x86_64 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64
docker push vllm/vllm-openai:latest-x86_64
docker push vllm/vllm-openai:v${RELEASE_VERSION}-x86_64
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-x86_64-cu129 vllm/vllm-openai:x86_64-cu129
docker tag vllm/vllm-openai:x86_64-cu129 vllm/vllm-openai:latest-x86_64-cu129
docker tag vllm/vllm-openai:x86_64-cu129 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129
docker push vllm/vllm-openai:latest-x86_64-cu129
docker push vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-aarch64 vllm/vllm-openai:aarch64
docker tag vllm/vllm-openai:aarch64 vllm/vllm-openai:latest-aarch64
docker tag vllm/vllm-openai:aarch64 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64
docker push vllm/vllm-openai:latest-aarch64
docker push vllm/vllm-openai:v${RELEASE_VERSION}-aarch64
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-aarch64-cu129 vllm/vllm-openai:aarch64-cu129
docker tag vllm/vllm-openai:aarch64-cu129 vllm/vllm-openai:latest-aarch64-cu129
docker tag vllm/vllm-openai:aarch64-cu129 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129
docker push vllm/vllm-openai:latest-aarch64-cu129
docker push vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129
## ROCm
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${BUILDKITE_COMMIT}-rocm vllm/vllm-openai-rocm:${BUILDKITE_COMMIT}
docker tag vllm/vllm-openai-rocm:${BUILDKITE_COMMIT} vllm/vllm-openai-rocm:latest
docker tag vllm/vllm-openai-rocm:${BUILDKITE_COMMIT} vllm/vllm-openai-rocm:v${RELEASE_VERSION}
docker push vllm/vllm-openai-rocm:latest
docker push vllm/vllm-openai-rocm:v${RELEASE_VERSION}
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${ROCM_BASE_CACHE_KEY}-rocm-base vllm/vllm-openai-rocm:${BUILDKITE_COMMIT}-base
docker tag vllm/vllm-openai-rocm:${BUILDKITE_COMMIT}-base vllm/vllm-openai-rocm:latest-base
docker tag vllm/vllm-openai-rocm:${BUILDKITE_COMMIT}-base vllm/vllm-openai-rocm:v${RELEASE_VERSION}-base
docker push vllm/vllm-openai-rocm:latest-base
docker push vllm/vllm-openai-rocm:v${RELEASE_VERSION}-base
## CPU
docker tag public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v${RELEASE_VERSION} vllm/vllm-openai-cpu:x86_64
docker tag vllm/vllm-openai-cpu:x86_64 vllm/vllm-openai-cpu:latest-x86_64
docker tag vllm/vllm-openai-cpu:x86_64 vllm/vllm-openai-cpu:v${RELEASE_VERSION}-x86_64
docker push vllm/vllm-openai-cpu:latest-x86_64
docker push vllm/vllm-openai-cpu:v${RELEASE_VERSION}-x86_64
docker tag public.ecr.aws/q9t5s3a7/vllm-arm64-cpu-release-repo:v${RELEASE_VERSION} vllm/vllm-openai-cpu:arm64
docker tag vllm/vllm-openai-cpu:arm64 vllm/vllm-openai-cpu:latest-arm64
docker tag vllm/vllm-openai-cpu:arm64 vllm/vllm-openai-cpu:v${RELEASE_VERSION}-arm64
docker push vllm/vllm-openai-cpu:latest-arm64
docker push vllm/vllm-openai-cpu:v${RELEASE_VERSION}-arm64
# Create multi-arch manifest:
docker manifest rm vllm/vllm-openai:latest
docker manifest create vllm/vllm-openai:latest vllm/vllm-openai:latest-x86_64 vllm/vllm-openai:latest-aarch64
docker manifest create vllm/vllm-openai:v${RELEASE_VERSION} vllm/vllm-openai:v${RELEASE_VERSION}-x86_64 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64
docker manifest push vllm/vllm-openai:latest
docker manifest push vllm/vllm-openai:v${RELEASE_VERSION}
docker manifest rm vllm/vllm-openai:latest-cu129
docker manifest create vllm/vllm-openai:latest-cu129 vllm/vllm-openai:latest-x86_64-cu129 vllm/vllm-openai:latest-aarch64-cu129
docker manifest create vllm/vllm-openai:v${RELEASE_VERSION}-cu129 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129
docker manifest push vllm/vllm-openai:latest-cu129
docker manifest push vllm/vllm-openai:v${RELEASE_VERSION}-cu129
docker manifest rm vllm/vllm-openai-cpu:latest || true
docker manifest create vllm/vllm-openai-cpu:latest vllm/vllm-openai-cpu:latest-x86_64 vllm/vllm-openai-cpu:latest-arm64
docker manifest create vllm/vllm-openai-cpu:v${RELEASE_VERSION} vllm/vllm-openai-cpu:v${RELEASE_VERSION}-x86_64 vllm/vllm-openai-cpu:v${RELEASE_VERSION}-arm64
docker manifest push vllm/vllm-openai-cpu:latest
docker manifest push vllm/vllm-openai-cpu:v${RELEASE_VERSION}
\`\`\`
EOF
-32
View File
@@ -1,32 +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 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"
-178
View File
@@ -1,178 +0,0 @@
#!/bin/bash
# Fetch vLLM Buildkite CI logs (public; no login required).
#
# 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]
#
# --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.
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\}//'
exit 1
}
die() {
echo "$1" >&2
exit 1
}
BUILD="" JOB="" SID="" OUT=""
SCOPE="failed"
while :; do
case "${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://*)
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
BUILD="$1"
JOB="$2"
OUT="${3:-}"
;;
*)
usage
;;
esac
COOKIES=$(mktemp)
JOBS_TSV=$(mktemp)
trap 'rm -f "$COOKIES" "$JOBS_TSV"' EXIT
# Buildkite issues a session cookie on first hit; later requests need it.
curl -fsSL -c "$COOKIES" -A "$UA" \
"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
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 ${BUILD}"
if [ -n "$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
-142
View File
@@ -1,142 +0,0 @@
#!/usr/bin/env python3
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Detect the manylinux platform tag for a wheel and rename it in place.
vLLM's build images produce wheels with the generic ``linux_<arch>`` platform
tag, which installers like ``pip`` won't accept off PyPI/our index. We need to
rewrite the platform tag to the appropriate ``manylinux_<major>_<minor>_<arch>``
before uploading.
Historically the tag was hard-coded per build (``manylinux_2_31`` for the
Ubuntu 20.04-based image, ``manylinux_2_35`` for the Ubuntu 22.04-based
images). That is brittle: bumping the base image silently produces wheels
labelled with the wrong glibc requirement. This script asks ``auditwheel``
to derive the tag from the symbol versions actually referenced by the
binaries inside the wheel, so the label tracks reality.
We can't simply call ``auditwheel repair`` -- it tries to graft external
shared libraries into the wheel and fails on vLLM's CUDA/cuBLAS dependencies.
Instead we use ``auditwheel.wheel_abi.analyze_wheel_abi`` directly, which is
the same call that powers ``auditwheel show``, and read off
``winfo.sym_policy.name``.
Usage:
detect-manylinux-tag.py <wheel_path>
The wheel is renamed in place; the new path is printed on stdout. All
diagnostics go to stderr so callers can capture stdout safely.
"""
from __future__ import annotations
import argparse
import sys
from pathlib import Path
from auditwheel.error import (
AuditwheelError,
NonPlatformWheelError,
WheelToolsError,
)
from auditwheel.wheel_abi import analyze_wheel_abi
from auditwheel.wheeltools import get_wheel_architecture, get_wheel_libc
def detect_platform_tag(wheel_path: Path) -> str:
"""Return the most precise platform tag the wheel is consistent with.
Mirrors ``auditwheel show`` but returns ``sym_policy`` rather than
``overall_policy``: we only care about the glibc symbol versions used,
not about other policy axes (ISA extensions, blacklist, etc.) that
``overall_policy`` folds in.
"""
fn = wheel_path.name
try:
arch = get_wheel_architecture(fn)
except (WheelToolsError, NonPlatformWheelError):
# Architecture isn't deducible from the filename; let auditwheel
# infer it from the ELF binaries inside the wheel.
arch = None
try:
libc = get_wheel_libc(fn)
except WheelToolsError:
# An unrepaired wheel uses ``linux_<arch>``, which doesn't encode
# libc. Let auditwheel infer it from the ELF binaries.
libc = None
winfo = analyze_wheel_abi(
libc,
arch,
wheel_path,
frozenset(),
disable_isa_ext_check=False,
allow_graft=False,
)
return winfo.sym_policy.name
def rename_wheel(wheel_path: Path, new_platform_tag: str) -> Path:
"""Rename the wheel in place, replacing only its platform tag."""
# Wheel filename per PEP 427:
# {distribution}-{version}(-{build})?-{python}-{abi}-{platform}.whl
# The platform tag is always the last ``-``-separated token before
# ``.whl``. Compound tags like ``manylinux_2_31_x86_64`` use ``_`` as the
# internal separator, so ``-``-splitting is unambiguous.
parts = wheel_path.stem.split("-")
if len(parts) < 5:
raise ValueError(f"Unrecognised wheel filename: {wheel_path.name}")
parts[-1] = new_platform_tag
new_path = wheel_path.with_name("-".join(parts) + ".whl")
if new_path != wheel_path:
wheel_path.rename(new_path)
return new_path
def main() -> int:
parser = argparse.ArgumentParser(
description="Detect a wheel's manylinux platform tag with "
"auditwheel and rename the wheel in place."
)
parser.add_argument(
"wheel",
type=Path,
help="Path to the wheel to inspect and rename.",
)
args = parser.parse_args()
wheel_path: Path = args.wheel
if not wheel_path.is_file():
print(f"error: {wheel_path} is not a file", file=sys.stderr)
return 1
# Catch the things that ``analyze_wheel_abi`` and ``rename_wheel`` can
# raise: any subclass of ``AuditwheelError`` (pure-Python wheels,
# invalid libc, malformed wheels), filesystem errors, or our own
# ``ValueError`` for an unrecognised wheel filename. Print a single
# ``ERROR_TYPE: message`` line to stderr instead of a Python
# traceback, which is much friendlier in CI logs.
try:
new_tag = detect_platform_tag(wheel_path)
print(f"detected platform tag: {new_tag}", file=sys.stderr)
new_path = rename_wheel(wheel_path, new_tag)
except (AuditwheelError, ValueError, OSError) as e:
print(
f"error: failed to retag {wheel_path.name}: {type(e).__name__}: {e}",
file=sys.stderr,
)
return 2
if new_path != wheel_path:
print(f"renamed {wheel_path.name} -> {new_path.name}", file=sys.stderr)
else:
print(f"wheel already tagged {new_tag}", file=sys.stderr)
print(new_path)
return 0
if __name__ == "__main__":
sys.exit(main())
@@ -1,54 +0,0 @@
#!/bin/bash
# Emit docker build flags for release image provenance metadata.
# Keep this helper best-effort: missing Buildkite metadata should fall back to
# local/default values instead of blocking the Docker build.
# Variant examples: "", "cu129", "ubuntu2404", "cu129-ubuntu2404".
variant="${1:-}"
variant_suffix="${variant:+-${variant}}"
image_name="${VLLM_DOCKER_IMAGE_NAME:-vllm/vllm-openai}"
staging_repo="${VLLM_STAGING_IMAGE_REPO:-public.ecr.aws/q9t5s3a7/vllm-release-repo}"
build_commit="${VLLM_BUILD_COMMIT:-${BUILDKITE_COMMIT:-unknown}}"
build_pipeline="${VLLM_BUILD_PIPELINE:-${BUILDKITE_PIPELINE_ID:-${BUILDKITE_PIPELINE_SLUG:-local}}}"
build_url="${VLLM_BUILD_URL:-${BUILDKITE_BUILD_URL:-}}"
tag_commit="${BUILDKITE_COMMIT:-${build_commit}}"
if [[ -n "${BUILDKITE:-}" || -n "${BUILDKITE_COMMIT:-}" ]]; then
release_version="${RELEASE_VERSION:-}"
if command -v buildkite-agent >/dev/null 2>&1; then
release_version="${release_version:-$(buildkite-agent meta-data get release-version 2>/dev/null)}"
fi
release_version="${release_version#v}"
release_version="${release_version:-${tag_commit}}"
staging_image_ref="${staging_repo}:${tag_commit}-$(uname -m)${variant_suffix}"
if [[ "${NIGHTLY:-}" == "1" ]]; then
if [[ -z "${variant}" ]]; then
image_tag="${image_name}:nightly-${tag_commit}"
elif [[ "${variant}" == cu* ]]; then
cuda_variant="${variant%%-*}"
remaining_variant="${variant#${cuda_variant}}"
image_tag="${image_name}:${cuda_variant}-nightly-${tag_commit}${remaining_variant}"
else
image_tag="${image_name}:nightly-${tag_commit}${variant_suffix}"
fi
else
image_tag="${image_name}:v${release_version}${variant_suffix}"
fi
else
image_tag="${VLLM_IMAGE_TAG:-local/vllm-openai:dev}"
staging_image_ref="${image_tag}"
fi
emit_arg() {
printf -- "--build-arg %s=%s " "$1" "$2"
}
emit_arg VLLM_BUILD_COMMIT "${build_commit}"
emit_arg VLLM_BUILD_PIPELINE "${build_pipeline}"
emit_arg VLLM_BUILD_URL "${build_url}"
# This is the intended public tag. The final digest is only known after push.
emit_arg VLLM_IMAGE_TAG "${image_tag}"
printf -- "--tag %s " "${staging_image_ref}"
@@ -10,13 +10,20 @@ set -ex
BUCKET="vllm-wheels"
INDICES_OUTPUT_DIR="indices"
DEFAULT_VARIANT_ALIAS="cu130" # align with vLLM_MAIN_CUDA_VERSION in vllm/envs.py
PYTHON="${PYTHON_PROG:-python3}" # try to read from env var, otherwise use python3
SUBPATH=$BUILDKITE_COMMIT
S3_COMMIT_PREFIX="s3://$BUCKET/$SUBPATH/"
# Select python3 (>= 3.12) -- local if available, else a docker fallback.
# shellcheck source=lib/select-python.sh
source .buildkite/scripts/lib/select-python.sh
select_python
# detect if python3.12+ is available
has_new_python=$($PYTHON -c "print(1 if __import__('sys').version_info >= (3,12) else 0)")
if [[ "$has_new_python" -eq 0 ]]; then
# use new python from docker
docker pull python:3-slim
PYTHON="docker run --rm -u $(id -u):$(id -g) -v $(pwd):/app -w /app python:3-slim python3"
fi
echo "Using python interpreter: $PYTHON"
echo "Python version: $($PYTHON --version)"
# ======== generate and upload indices ========
@@ -45,10 +52,8 @@ $PYTHON .buildkite/scripts/generate-nightly-index.py --version "$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 +74,7 @@ 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 "$INDICES_OUTPUT_DIR"
+132 -593
View File
@@ -1,7 +1,7 @@
#!/bin/bash
# This script runs ROCm tests either directly in a native CI pod or inside the
# corresponding Docker container. Multi-node tests continue to use Docker.
# This script runs tests inside the corresponding ROCm docker container.
# It handles both single-node and multi-node test configurations.
#
# Multi-node detection: Instead of matching on fragile group names, we detect
# multi-node jobs structurally by looking for the bracket command syntax
@@ -28,68 +28,32 @@
###############################################################################
set -o pipefail
: "${BUILDKIT_PROGRESS:=plain}"
: "${TERM:=xterm-256color}"
: "${FORCE_COLOR:=1}"
: "${CLICOLOR_FORCE:=1}"
: "${PY_COLORS:=1}"
: "${ROCM_DOCKER_TTY:=1}"
: "${PYTHONFAULTHANDLER:=1}"
: "${PYTEST_TIMEOUT:=2100}"
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 15 minutes, then stop an individual test after 35 minutes.
if [[ " ${PYTEST_ADDOPTS:-} " != *" faulthandler_timeout="* ]]; then
PYTEST_ADDOPTS="${PYTEST_ADDOPTS:+${PYTEST_ADDOPTS} }-o faulthandler_timeout=900"
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
###############################################################################
report_docker_usage() {
echo "--- Docker usage"
docker system df || true
}
cleanup_docker() {
# Get Docker's root directory
docker_root=$(docker info -f '{{.DockerRootDir}}')
if [ -z "$docker_root" ]; then
echo "Failed to determine Docker root directory."
exit 1
fi
echo "Docker root directory: $docker_root"
clear_ci_orchestration_env() {
unset -v \
VLLM_TEST_GROUP_NAME \
VLLM_CI_REQUIRE_PERSISTENT_HF_CACHE \
VLLM_CI_ARTIFACT_STEP \
VLLM_TEST_CACHE \
VLLM_CI_EXECUTION_MODE \
VLLM_CI_WORKSPACE \
VLLM_CI_REQUIRE_WORKSPACE_MOUNT \
VLLM_TEST_COMMANDS \
VLLM_CI_BRANCH \
VLLM_CI_BASE_IMAGE \
VLLM_CI_FALLBACK_IMAGE \
VLLM_CI_DOCKER_DISABLED \
VLLM_CI_ARTIFACT_GLOB \
VLLM_CI_ARTIFACT_CHECKSUM_GLOB \
VLLM_CI_EXPECTED_GPU_COUNT \
VLLM_CI_USE_ARTIFACTS \
VLLM_CI_RESULTS_ROOT \
VLLM_ALLOW_DEPRECATED_BEAM_SEARCH
disk_usage=$(df "$docker_root" | tail -1 | awk '{print $5}' | sed 's/%//')
threshold=70
if [ "$disk_usage" -gt "$threshold" ]; then
echo "Disk usage is above $threshold%. Cleaning up Docker images and volumes..."
docker image prune -f
docker volume prune -f && docker system prune --force --filter "until=72h" --all
echo "Docker images and volumes cleanup completed."
else
echo "Disk usage is below $threshold%. No cleanup needed."
fi
}
cleanup_network() {
@@ -104,364 +68,6 @@ cleanup_network() {
fi
}
prepare_artifact_image() {
if [[ "${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:-${BUILDKITE_PARALLEL_JOB:-local}}"
local job_id_suffix=""
local native_root=""
local hf_mount=""
if [[ "$(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}"
: "${HF_HUB_DOWNLOAD_TIMEOUT:=300}"
: "${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_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}" || return 1
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 ${HF_HOME}" >&2
return 1
fi
fi
}
run_native_preflight() {
local expected_gpus="${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="$1"
# Primary signal: NUM_NODES environment variable set by the pipeline
@@ -508,7 +114,8 @@ handle_pytest_exit() {
# unquoted since they have no spaces and work fine.
#
# Already-quoted expressions (containing literal single quotes) are passed
# through untouched to avoid double-quoting well-formed shell fragments.
# through untouched to avoid double-quoting values injected by
# apply_rocm_test_overrides.
#
# NOTE: This ONLY fixes -m/-k flags. It cannot recover arbitrary inner
# double-quotes stripped by the calling shell (see header comment).
@@ -640,109 +247,124 @@ re_quote_pytest_markers() {
echo "${output% }"
}
###############################################################################
# ROCm-specific pytest command rewrites
#
# These apply ignore flags and environment overrides for tests that are not
# yet supported or behave differently on ROCm hardware. Kept as a single
# function so new exclusions are easy to add in one place.
###############################################################################
apply_rocm_test_overrides() {
local cmds="$1"
# --- Model registry filter ---
if [[ $cmds == *"pytest -v -s models/test_registry.py"* ]]; then
cmds=${cmds//"pytest -v -s models/test_registry.py"/"pytest -v -s models/test_registry.py -k 'not BambaForCausalLM and not GritLM and not Mamba2ForCausalLM and not Zamba2ForCausalLM'"}
fi
# --- LoRA: disable custom paged attention ---
if [[ $cmds == *"pytest -v -s lora"* ]]; then
cmds=${cmds//"pytest -v -s lora"/"pytest -v -s lora"}
fi
# --- Kernel ignores ---
if [[ $cmds == *" kernels/core"* ]]; then
cmds="${cmds} \
--ignore=kernels/core/test_fused_quant_layernorm.py \
--ignore=kernels/core/test_permute_cols.py"
fi
if [[ $cmds == *" kernels/attention"* ]]; then
cmds="${cmds} \
--ignore=kernels/attention/test_attention_selector.py \
--ignore=kernels/attention/test_encoder_decoder_attn.py \
--ignore=kernels/attention/test_flash_attn.py \
--ignore=kernels/attention/test_flashinfer.py \
--ignore=kernels/attention/test_prefix_prefill.py \
--ignore=kernels/attention/test_cascade_flash_attn.py \
--ignore=kernels/attention/test_mha_attn.py \
--ignore=kernels/attention/test_lightning_attn.py \
--ignore=kernels/attention/test_attention.py"
fi
if [[ $cmds == *" kernels/quantization"* ]]; then
cmds="${cmds} \
--ignore=kernels/quantization/test_int8_quant.py \
--ignore=kernels/quantization/test_machete_mm.py \
--ignore=kernels/quantization/test_block_fp8.py \
--ignore=kernels/quantization/test_block_int8.py \
--ignore=kernels/quantization/test_marlin_gemm.py \
--ignore=kernels/quantization/test_cutlass_scaled_mm.py \
--ignore=kernels/quantization/test_int8_kernel.py"
fi
if [[ $cmds == *" kernels/mamba"* ]]; then
cmds="${cmds} \
--ignore=kernels/mamba/test_mamba_mixer2.py \
--ignore=kernels/mamba/test_causal_conv1d.py \
--ignore=kernels/mamba/test_mamba_ssm_ssd.py"
fi
if [[ $cmds == *" kernels/moe"* ]]; then
cmds="${cmds} \
--ignore=kernels/moe/test_moe.py \
--ignore=kernels/moe/test_cutlass_moe.py"
fi
# --- Entrypoint ignores ---
if [[ $cmds == *" entrypoints/openai "* ]]; then
cmds=${cmds//" entrypoints/openai "/" entrypoints/openai \
--ignore=entrypoints/openai/chat_completion/test_audio.py \
--ignore=entrypoints/openai/completion/test_shutdown.py \
--ignore=entrypoints/openai/test_completion.py \
--ignore=entrypoints/openai/models/test_models.py \
--ignore=entrypoints/openai/test_return_tokens_as_ids.py \
--ignore=entrypoints/openai/chat_completion/test_root_path.py \
--ignore=entrypoints/openai/completion/test_prompt_validation.py "}
fi
if [[ $cmds == *" entrypoints/serve"* ]]; then
cmds="${cmds} \
--ignore=entrypoints/serve/lora/test_lora_adapters.py"
fi
if [[ $cmds == *" entrypoints/llm "* ]]; then
cmds=${cmds//" entrypoints/llm "/" entrypoints/llm \
--ignore=entrypoints/llm/test_chat.py \
--ignore=entrypoints/llm/test_accuracy.py \
--ignore=entrypoints/llm/test_init.py \
--ignore=entrypoints/llm/test_prompt_validation.py "}
fi
# Clean up escaped newlines from --ignore appends
cmds=$(echo "$cmds" | sed 's/ \\ / /g')
echo "$cmds"
}
###############################################################################
# Main
###############################################################################
if is_native_runtime; then
echo "--- Native in-pod ROCm CI (AMD_CI_RUNTIME=${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 "$?"
fi
# --- GPU initialization for legacy Docker execution ---
# --- GPU initialization ---
echo "--- ROCm info"
rocminfo
# --- Docker status ---
report_docker_usage
# --- Docker housekeeping ---
cleanup_docker
# --- Pull test image ---
echo "--- Pulling container"
image_name="${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 "${artifact_work_dir}"
fi
docker rm -f "${container_name}" || docker image rm -f "${image_name}" || true
}
trap remove_docker_container EXIT
# python_only_compile.sh runs `python setup.py develop` and needs the full repo tree
# under /vllm-workspace (Dockerfile.rocm test stage: mkdir src && mv vllm).
# The ROCm wheel artifact tarball only ships a thin tree (tests, etc.), so
# artifact images cannot satisfy that test — use the full rocm/vllm-ci image.
_cmd_probe="${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
# --- Prepare commands ---
echo "--- Running container"
@@ -750,25 +372,15 @@ 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 $* for backward compatibility, but warn that inner
# double-quotes will have been stripped by the calling shell.
if [[ -n "${VLLM_TEST_COMMANDS:-}" ]]; then
commands="${VLLM_TEST_COMMANDS}"
commands_source="env"
echo "Commands sourced from VLLM_TEST_COMMANDS (quoting preserved)"
else
commands="$*"
commands_source="argv"
if [[ -z "$commands" ]]; then
echo "Error: No test commands provided." >&2
echo "Usage:" >&2
@@ -785,48 +397,14 @@ fi
echo "Raw commands: $commands"
# Only try to repair stripped pytest -m/-k quoting in legacy argv mode.
# VLLM_TEST_COMMANDS preserves inner quoting already, and re-quoting that path
# can corrupt embedded echo strings or otherwise well-formed shell fragments.
if [[ "$commands_source" == "argv" ]]; then
commands=$(re_quote_pytest_markers "$commands")
echo "After re-quoting: $commands"
else
echo "Skipping re-quoting for VLLM_TEST_COMMANDS input"
fi
# Fix quoting before ROCm overrides (so overrides see correct structure)
commands=$(re_quote_pytest_markers "$commands")
echo "After re-quoting: $commands"
commands=$(apply_rocm_test_overrides "$commands")
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=$(getent group render | cut -d: -f3)
@@ -848,7 +426,6 @@ else
fi
# --- Route: multi-node vs single-node ---
clear_ci_orchestration_env
if is_multi_node "$commands"; then
echo "--- Multi-node job detected"
export DCKR_VER=$(docker --version | sed 's/Docker version \(.*\), build .*/\1/')
@@ -895,64 +472,26 @@ 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"
@@ -3,37 +3,42 @@ set -euox pipefail
export VLLM_CPU_CI_ENV=0
export VLLM_CPU_KVCACHE_SPACE=1 # avoid OOM
MODE=${1:-all}
echo "--- PP+TP"
vllm serve meta-llama/Llama-3.2-3B-Instruct -tp=2 -pp=2 --max-model-len=4096 &
server_pid=$!
timeout 600 bash -c "until curl localhost:8000/v1/models > /dev/null 2>&1; do sleep 1; done" || exit 1
vllm bench serve \
--backend vllm \
--dataset-name random \
--model meta-llama/Llama-3.2-3B-Instruct \
--num-prompts 20 \
--result-dir ./test_results \
--result-filename tp_pp.json \
--save-result \
--endpoint /v1/completions
kill -s SIGTERM $server_pid; wait $server_pid || true
failed_req=$(jq '.failed' ./test_results/tp_pp.json)
if [ "$failed_req" -ne 0 ]; then
echo "Some requests were failed!"
exit 1
fi
run_scenario() {
local label="$1" result_file="$2"
shift 2
echo "--- $label"
vllm serve meta-llama/Llama-3.2-3B-Instruct "$@" --max-model-len=4096 &
local server_pid=$!
timeout 600 bash -c "until curl localhost:8000/v1/models > /dev/null 2>&1; do sleep 1; done" || exit 1
vllm bench serve \
--backend vllm \
--dataset-name random \
--model meta-llama/Llama-3.2-3B-Instruct \
--num-prompts 20 \
--result-dir ./test_results \
--result-filename "$result_file" \
--save-result \
--endpoint /v1/completions
kill -s SIGTERM "$server_pid"; wait "$server_pid" || true
if [ "$(jq '.failed' "./test_results/$result_file")" -ne 0 ]; then
echo "Some requests were failed in $label!"
exit 1
fi
}
case "$MODE" in
tp_pp) run_scenario "PP+TP" tp_pp.json -tp=2 -pp=2 ;;
dp_tp) run_scenario "DP+TP" dp_tp.json -tp=2 -dp=2 ;;
all)
run_scenario "PP+TP" tp_pp.json -tp=2 -pp=2
run_scenario "DP+TP" dp_tp.json -tp=2 -dp=2
;;
*) echo "ERROR: unknown mode '$MODE' (expected: tp_pp | dp_tp | all)" >&2; exit 1 ;;
esac
echo "--- DP+TP"
vllm serve meta-llama/Llama-3.2-3B-Instruct -tp=2 -dp=2 --max-model-len=4096 &
server_pid=$!
timeout 600 bash -c "until curl localhost:8000/v1/models > /dev/null 2>&1; do sleep 1; done" || exit 1
vllm bench serve \
--backend vllm \
--dataset-name random \
--model meta-llama/Llama-3.2-3B-Instruct \
--num-prompts 20 \
--result-dir ./test_results \
--result-filename dp_pp.json \
--save-result \
--endpoint /v1/completions
kill -s SIGTERM $server_pid; wait $server_pid || true
failed_req=$(jq '.failed' ./test_results/dp_pp.json)
if [ "$failed_req" -ne 0 ]; then
echo "Some requests were failed!"
exit 1
fi
@@ -8,7 +8,7 @@ set -ex
CORE_RANGE=${CORE_RANGE:-0-31}
OMP_CORE_RANGE=${OMP_CORE_RANGE:-0-31}
export CMAKE_BUILD_PARALLEL_LEVEL=32
export CMAKE_BUILD_PARALLEL_LEVEL=16
# Setup cleanup
remove_docker_container() {
@@ -31,26 +31,6 @@ function cpu_tests() {
set -e
pip list"
# Run kernel tests
docker exec cpu-test bash -c "
set -e
pytest -x -v -s tests/kernels/test_onednn.py
pytest -x -v -s tests/kernels/attention/test_cpu_attn.py
pytest -x -v -s tests/kernels/core/test_cpu_activation.py
pytest -x -v -s tests/kernels/moe/test_cpu_fused_moe.py
pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py
pytest -x -v -s tests/kernels/moe/test_cpu_int4_moe.py
pytest -x -v -s tests/kernels/mamba/test_cpu_short_conv.py
pytest -x -v -s tests/kernels/mamba/test_causal_conv1d.py
pytest -x -v -s tests/kernels/mamba/test_mamba_ssm.py"
# skip tests requiring model downloads if HF_TOKEN is not set
# due to rate-limits
if [ -z "$HF_TOKEN" ]; then
echo "Warning: HF_TOKEN is not set. Skipping tests that require model downloads."
return
fi
# offline inference
docker exec cpu-test bash -c "
set -e
@@ -66,6 +46,14 @@ function cpu_tests() {
set -e
pytest -x -v -s tests/quantization/test_compressed_tensors.py::test_compressed_tensors_w8a8_logprobs"
# Run kernel tests
docker exec cpu-test bash -c "
set -e
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_moe.py -k test_cpu_fused_moe_basic"
# basic online serving
docker exec cpu-test bash -c '
set -e
@@ -79,24 +67,8 @@ function cpu_tests() {
--num-prompts 20 \
--endpoint /v1/completions
kill -s SIGTERM $server_pid &'
# smoke test for Gated DeltaNet
docker exec cpu-test bash -c '
set -e
VLLM_CPU_OMP_THREADS_BIND=$E2E_OMP_THREADS vllm serve Qwen/Qwen3.5-0.8B --max-model-len 2048 &
server_pid=$!
timeout 600 bash -c "until curl localhost:8000/v1/models; do sleep 1; done" || exit 1
vllm bench serve \
--backend vllm \
--dataset-name random \
--model Qwen/Qwen3.5-0.8B \
--num-prompts 20 \
--endpoint /v1/completions
kill -s SIGTERM $server_pid &'
}
# All of CPU tests are expected to be finished less than 40 mins.
export -f cpu_tests
timeout 2h bash -c cpu_tests
+1 -40
View File
@@ -7,49 +7,10 @@ set -euox pipefail
# allow to bind to different cores
CORE_RANGE=${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 "${container_name}" || true
}
@@ -341,36 +352,17 @@ if [[ -z "${ZE_AFFINITY_MASK:-}" ]]; then
echo "Warning: ZE_AFFINITY_MASK is not set. Proceeding without device affinity." >&2
fi
export CMDS="${commands}"
export HF_TOKEN ZE_AFFINITY_MASK
{
flock 9
if docker image inspect "${IMAGE}" >/dev/null 2>&1; then
echo "Image already exists locally, skipping pull"
else
echo "Image not found locally, pulling image..."
timeout 900 docker pull "${IMAGE}"
echo "Pull step completed"
fi
docker create \
docker run \
--device /dev/dri:/dev/dri \
--net=host \
--ipc=host \
--privileged \
-v /dev/dri/by-path:/dev/dri/by-path \
-v "/data/huggingface:/root/.cache/huggingface" \
--entrypoint='' \
-e HF_TOKEN \
-e ZE_AFFINITY_MASK \
-e BUILDKITE_PARALLEL_JOB \
-e BUILDKITE_PARALLEL_JOB_COUNT \
-e CMDS \
-v ${HOME}/.cache/huggingface:/root/.cache/huggingface \
--entrypoint="" \
-e "HF_TOKEN=${HF_TOKEN:-}" \
-e "ZE_AFFINITY_MASK=${ZE_AFFINITY_MASK:-}" \
-e "CMDS=${commands}" \
--name "${container_name}" \
"${IMAGE}" \
bash -c 'set -e; source /opt/intel/oneapi/setvars.sh --force; source /opt/intel/oneapi/ccl/2021.15/env/vars.sh --force; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"' \
>/dev/null
} 9>/tmp/docker-pull.lock
docker start -a "${container_name}"
"${image_name}" \
bash -c 'set -e; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"'
@@ -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
@@ -61,7 +61,7 @@ echo "Results will be stored in: $RESULTS_DIR"
echo "--- Installing Python dependencies ---"
python3 -m pip install --progress-bar off git+https://github.com/thuml/depyf.git \
&& python3 -m pip install --progress-bar off pytest pytest-asyncio tpu-info \
&& python3 -m pip install --progress-bar off "lm-eval[api]>=0.4.12" \
&& python3 -m pip install --progress-bar off "lm-eval[api]>=0.4.11" \
&& python3 -m pip install --progress-bar off hf-transfer tblib==3.1.0
echo "--- Python dependencies installed ---"
@@ -61,7 +61,7 @@ echo "Results will be stored in: $RESULTS_DIR"
echo "--- Installing Python dependencies ---"
python3 -m pip install --progress-bar off git+https://github.com/thuml/depyf.git \
&& python3 -m pip install --progress-bar off pytest pytest-asyncio tpu-info \
&& python3 -m pip install --progress-bar off "lm-eval[api]>=0.4.12" \
&& python3 -m pip install --progress-bar off "lm-eval[api]>=0.4.11" \
&& python3 -m pip install --progress-bar off hf-transfer tblib==3.1.0
echo "--- Python dependencies installed ---"
@@ -136,6 +136,8 @@ run_and_track_test 3 "test_accuracy.py::test_lm_eval_accuracy_v1_engine" \
"python3 -m pytest -s -v /workspace/vllm/tests/entrypoints/llm/test_accuracy.py::test_lm_eval_accuracy_v1_engine"
run_and_track_test 4 "test_quantization_accuracy.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/tpu/test_quantization_accuracy.py"
run_and_track_test 5 "examples/offline_inference/tpu.py" \
"python3 /workspace/vllm/examples/offline_inference/tpu.py"
run_and_track_test 6 "test_tpu_model_runner.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/worker/test_tpu_model_runner.py"
run_and_track_test 7 "test_sampler.py" \
@@ -0,0 +1,53 @@
#!/bin/bash
# This script build the CPU docker image and run the offline inference inside the container.
# It serves a sanity check for compilation and basic model usage.
set -ex
image_name="xpu/vllm-ci:${BUILDKITE_COMMIT}"
container_name="xpu_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head -c 10; echo)"
# Try building the docker image
docker build -t "${image_name}" -f docker/Dockerfile.xpu .
# Setup cleanup
remove_docker_container() {
docker rm -f "${container_name}" || true
}
trap remove_docker_container EXIT
# Run the image and test offline inference/tensor parallel
docker run \
--device /dev/dri:/dev/dri \
--net=host \
--ipc=host \
--privileged \
-v /dev/dri/by-path:/dev/dri/by-path \
--entrypoint="" \
-e "HF_TOKEN=${HF_TOKEN}" \
-e "ZE_AFFINITY_MASK=${ZE_AFFINITY_MASK}" \
--name "${container_name}" \
"${image_name}" \
bash -c '
set -e
echo $ZE_AFFINITY_MASK
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 ray
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 superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --block-size 64 --enforce-eager --max-model-len 8192
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 OPEA/Qwen2.5-0.5B-Instruct-int4-sym-inc --block-size 64 --enforce-eager --max-model-len 8192
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
pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py
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/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_tree_attention.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
pytest -v -s v1/test_serial_utils.py
'
@@ -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
-127
View File
@@ -1,127 +0,0 @@
#!/usr/bin/env bash
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Shared helper for rewriting a wheel's platform tag from the generic
# ``linux_<arch>`` to the correct ``manylinux_<major>_<minor>_<arch>``.
# After sourcing, call ``apply_manylinux_tag <wheel>`` on each wheel
# that still carries the generic tag; the renamed path is printed on
# stdout (logs go to stderr).
#
# Why a pinned Docker container instead of using whatever Python
# happens to be on the agent:
# - vLLM's release agents are heterogeneous -- they don't agree on
# a Python minor version, and we can't rely on a particular
# ``auditwheel`` being installed.
# - ``detect-manylinux-tag.py`` reads ``auditwheel.wheel_abi`` and
# ``Policy.sym_policy``, which are *internal* APIs without a
# stability promise. Pinning both Python and auditwheel makes the
# detected tag a function of the inputs alone, and shifts version
# bumps from "implicit drift" to "deliberate, retested change".
# - Other release scripts (``generate-and-upload-nightly-index.sh``,
# ``upload-rocm-wheels.sh``) already use the python:3-slim image
# when the agent's interpreter is too old; this is the same idea
# made stricter.
#
# To keep the per-wheel cost down (the ROCm upload retags ~10 wheels
# each run), we install auditwheel into a long-lived helper container
# once on source, then ``docker exec`` into it for each call.
#
# Trap behaviour:
# - Sourcing installs an EXIT trap that calls ``manylinux_cleanup`` to
# tear down the helper container. Any EXIT trap that was already in
# place when this file was sourced is captured and run AFTER our
# cleanup, so we don't silently clobber it.
# - If a caller sets a new EXIT trap *after* sourcing, that trap will
# replace ours; in that case the caller should call
# ``manylinux_cleanup`` from their own handler.
if [[ -n "${_MANYLINUX_LIB_SOURCED:-}" ]]; then
return 0
fi
_MANYLINUX_LIB_SOURCED=1
# Pin both sides. Bump these deliberately and re-run a representative
# wheel from each build target through the detection.
_MANYLINUX_PYTHON_IMAGE="python:3.12-slim"
_MANYLINUX_AUDITWHEEL_VERSION="6.6.0"
# Resolve our own directory (and the sibling detect script) using the
# canonical, symlink-resolved path. The container mounts cwd at the
# same absolute path on both sides, so all paths we hand to it -- the
# script, the wheel -- must canonicalise to a location under cwd.
_MANYLINUX_LIB_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd -P)"
_MANYLINUX_DETECT_SCRIPT="$(cd "${_MANYLINUX_LIB_DIR}/.." && pwd -P)/detect-manylinux-tag.py"
_MANYLINUX_CWD="$(pwd -P)"
docker pull --quiet "$_MANYLINUX_PYTHON_IMAGE" >/dev/null
# Spin up a long-lived helper container so we install auditwheel once
# and then ``docker exec`` into it for each wheel.
#
# The container runs as root so ``pip install`` can write into the
# system site-packages; individual ``docker exec`` calls below pin
# themselves to the host UID so any file rename happens with host
# ownership, not root.
_MANYLINUX_CONTAINER="$(docker run -d --rm \
-v "$_MANYLINUX_CWD:$_MANYLINUX_CWD" \
-w "$_MANYLINUX_CWD" \
"$_MANYLINUX_PYTHON_IMAGE" \
sleep infinity)"
docker exec "$_MANYLINUX_CONTAINER" \
pip install --quiet --disable-pip-version-check \
--root-user-action=ignore \
"auditwheel==${_MANYLINUX_AUDITWHEEL_VERSION}"
# Public cleanup -- safe to call multiple times.
manylinux_cleanup() {
if [[ -n "${_MANYLINUX_CONTAINER:-}" ]]; then
docker rm -f "$_MANYLINUX_CONTAINER" >/dev/null 2>&1 || true
_MANYLINUX_CONTAINER=""
fi
}
# Capture any EXIT trap that was already in place so we can chain to
# it rather than overwrite it. ``trap -p EXIT`` prints the handler in
# eval-able form (``trap -- 'CMD' EXIT``) or nothing if unset; we
# strip the wrapper to recover ``CMD``. Handles the common case --
# CMDs without embedded single quotes -- and degrades gracefully (we
# still run our own cleanup) for the pathological case.
_manylinux_prev_exit_trap_cmd=""
_manylinux_existing_exit_trap="$(trap -p EXIT)"
if [[ -n "$_manylinux_existing_exit_trap" ]]; then
_tmp="${_manylinux_existing_exit_trap#trap -- \'}"
_manylinux_prev_exit_trap_cmd="${_tmp%\' EXIT}"
unset _tmp
fi
unset _manylinux_existing_exit_trap
_manylinux_run_exit_chain() {
manylinux_cleanup
if [[ -n "$_manylinux_prev_exit_trap_cmd" ]]; then
eval "$_manylinux_prev_exit_trap_cmd"
fi
}
trap _manylinux_run_exit_chain EXIT
# Detect the manylinux platform tag for a single wheel and rename it
# in place, printing the renamed wheel path on stdout. Returns
# non-zero on failure (which under ``set -e`` propagates to caller).
#
# The wheel must be reachable via a path under the host cwd so it's
# visible inside the helper container; in CI the wheels always live
# under ``artifacts/`` so this is fine.
apply_manylinux_tag() {
local wheel="$1"
local abs_wheel
abs_wheel="$(realpath "$wheel")"
local new_wheel
new_wheel="$(docker exec -u "$(id -u):$(id -g)" \
"$_MANYLINUX_CONTAINER" \
python "$_MANYLINUX_DETECT_SCRIPT" "$abs_wheel")"
if [[ -z "$new_wheel" || ! -f "$new_wheel" ]]; then
echo "apply_manylinux_tag: detect-manylinux-tag.py did not produce a valid wheel path for $wheel" >&2
return 1
fi
printf '%s\n' "$new_wheel"
}
-41
View File
@@ -1,41 +0,0 @@
#!/usr/bin/env bash
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Pick a Python interpreter for buildkite scripts: prefer a local
# ``python3`` if it is recent enough (>= 3.12), otherwise fall back to
# a one-shot Docker container running ``python:3-slim``. After
# ``select_python`` returns, ``$PYTHON`` is set in the caller's shell
# and is safe to use as a command (e.g. ``$PYTHON some_script.py``).
#
# The 3.12 threshold matches what the existing nightly-index work
# expects -- typing features used by ``generate-nightly-index.py``.
# This helper does not pin the *minor* version; if you need stricter
# reproducibility (e.g. relying on auditwheel internals), invoke
# Docker yourself with a pinned tag rather than calling this.
if [[ -n "${_SELECT_PYTHON_LIB_SOURCED:-}" ]]; then
return 0
fi
_SELECT_PYTHON_LIB_SOURCED=1
# Sets ``PYTHON`` in the caller's shell and exports it. Idempotent --
# calling twice is safe and the second call simply re-runs the probe.
select_python() {
local py="${PYTHON_PROG:-python3}"
local has_new_python
has_new_python=$("$py" -c \
"print(1 if __import__('sys').version_info >= (3,12) else 0)" \
2>/dev/null || echo 0)
if [[ "$has_new_python" -eq 0 ]]; then
# ``-u $(id -u):$(id -g)`` so files created via the container
# end up owned by the host user, not root.
docker pull python:3-slim
PYTHON="docker run --rm -u $(id -u):$(id -g) -v $(pwd):/app -w /app python:3-slim python3"
else
PYTHON="$py"
fi
export PYTHON
echo "Using python interpreter: $PYTHON"
echo "Python version: $($PYTHON --version)"
}
@@ -1,196 +0,0 @@
#!/bin/bash
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
#
# Publish release Docker images from ECR to DockerHub.
# Pulls per-arch images, tags with latest and versioned tags, pushes them,
# then creates and pushes multi-arch manifests.
set -euo pipefail
RELEASE_VERSION=$(buildkite-agent meta-data get release-version --default "" | sed 's/^v//')
if [ -z "${RELEASE_VERSION}" ]; then
echo "ERROR: release-version metadata not set"
exit 1
fi
COMMIT="$BUILDKITE_COMMIT"
ROCM_BASE_CACHE_KEY=$(.buildkite/scripts/cache-rocm-base-wheels.sh key)
echo "========================================"
echo "Publishing release images v${RELEASE_VERSION}"
echo " Commit: ${COMMIT}"
echo " ROCm base cache key: ${ROCM_BASE_CACHE_KEY}"
echo "========================================"
# Login to ECR to pull staging images
aws ecr-public get-login-password --region us-east-1 | \
docker login --username AWS --password-stdin public.ecr.aws/q9t5s3a7
# ---- CUDA (default: 13.0) ----
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64 vllm/vllm-openai:latest-x86_64
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64
docker push vllm/vllm-openai:latest-x86_64
docker push vllm/vllm-openai:v${RELEASE_VERSION}-x86_64
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64 vllm/vllm-openai:latest-aarch64
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64
docker push vllm/vllm-openai:latest-aarch64
docker push vllm/vllm-openai:v${RELEASE_VERSION}-aarch64
docker manifest rm vllm/vllm-openai:latest || true
docker manifest rm vllm/vllm-openai:v${RELEASE_VERSION} || true
docker manifest create vllm/vllm-openai:latest vllm/vllm-openai:latest-x86_64 vllm/vllm-openai:latest-aarch64
docker manifest create vllm/vllm-openai:v${RELEASE_VERSION} vllm/vllm-openai:v${RELEASE_VERSION}-x86_64 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64
docker manifest push vllm/vllm-openai:latest
docker manifest push vllm/vllm-openai:v${RELEASE_VERSION}
# ---- CUDA 12.9 ----
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-cu129
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-cu129
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-cu129 vllm/vllm-openai:latest-x86_64-cu129
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-cu129 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129
docker push vllm/vllm-openai:latest-x86_64-cu129
docker push vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-cu129 vllm/vllm-openai:latest-aarch64-cu129
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-cu129 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129
docker push vllm/vllm-openai:latest-aarch64-cu129
docker push vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129
docker manifest rm vllm/vllm-openai:latest-cu129 || true
docker manifest rm vllm/vllm-openai:v${RELEASE_VERSION}-cu129 || true
docker manifest create vllm/vllm-openai:latest-cu129 vllm/vllm-openai:latest-x86_64-cu129 vllm/vllm-openai:latest-aarch64-cu129
docker manifest create vllm/vllm-openai:v${RELEASE_VERSION}-cu129 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129
docker manifest push vllm/vllm-openai:latest-cu129
docker manifest push vllm/vllm-openai:v${RELEASE_VERSION}-cu129
# ---- Ubuntu 24.04 (CUDA 13.0) ----
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-ubuntu2404
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-ubuntu2404
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-ubuntu2404 vllm/vllm-openai:latest-x86_64-ubuntu2404
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-ubuntu2404 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-ubuntu2404
docker push vllm/vllm-openai:latest-x86_64-ubuntu2404
docker push vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-ubuntu2404
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-ubuntu2404 vllm/vllm-openai:latest-aarch64-ubuntu2404
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-ubuntu2404 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-ubuntu2404
docker push vllm/vllm-openai:latest-aarch64-ubuntu2404
docker push vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-ubuntu2404
docker manifest rm vllm/vllm-openai:latest-ubuntu2404 || true
docker manifest rm vllm/vllm-openai:v${RELEASE_VERSION}-ubuntu2404 || true
docker manifest create vllm/vllm-openai:latest-ubuntu2404 vllm/vllm-openai:latest-x86_64-ubuntu2404 vllm/vllm-openai:latest-aarch64-ubuntu2404
docker manifest create vllm/vllm-openai:v${RELEASE_VERSION}-ubuntu2404 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-ubuntu2404 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-ubuntu2404
docker manifest push vllm/vllm-openai:latest-ubuntu2404
docker manifest push vllm/vllm-openai:v${RELEASE_VERSION}-ubuntu2404
# ---- Ubuntu 24.04 (CUDA 12.9) ----
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-cu129-ubuntu2404
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-cu129-ubuntu2404
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-cu129-ubuntu2404 vllm/vllm-openai:latest-x86_64-cu129-ubuntu2404
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-x86_64-cu129-ubuntu2404 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129-ubuntu2404
docker push vllm/vllm-openai:latest-x86_64-cu129-ubuntu2404
docker push vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129-ubuntu2404
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-cu129-ubuntu2404 vllm/vllm-openai:latest-aarch64-cu129-ubuntu2404
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-aarch64-cu129-ubuntu2404 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129-ubuntu2404
docker push vllm/vllm-openai:latest-aarch64-cu129-ubuntu2404
docker push vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129-ubuntu2404
docker manifest rm vllm/vllm-openai:latest-cu129-ubuntu2404 || true
docker manifest rm vllm/vllm-openai:v${RELEASE_VERSION}-cu129-ubuntu2404 || true
docker manifest create vllm/vllm-openai:latest-cu129-ubuntu2404 vllm/vllm-openai:latest-x86_64-cu129-ubuntu2404 vllm/vllm-openai:latest-aarch64-cu129-ubuntu2404
docker manifest create vllm/vllm-openai:v${RELEASE_VERSION}-cu129-ubuntu2404 vllm/vllm-openai:v${RELEASE_VERSION}-x86_64-cu129-ubuntu2404 vllm/vllm-openai:v${RELEASE_VERSION}-aarch64-cu129-ubuntu2404
docker manifest push vllm/vllm-openai:latest-cu129-ubuntu2404
docker manifest push vllm/vllm-openai:v${RELEASE_VERSION}-cu129-ubuntu2404
# ---- ROCm ----
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-rocm
docker pull public.ecr.aws/q9t5s3a7/vllm-release-repo:${ROCM_BASE_CACHE_KEY}-rocm-base
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-rocm vllm/vllm-openai-rocm:latest
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${COMMIT}-rocm vllm/vllm-openai-rocm:v${RELEASE_VERSION}
docker push vllm/vllm-openai-rocm:latest
docker push vllm/vllm-openai-rocm:v${RELEASE_VERSION}
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${ROCM_BASE_CACHE_KEY}-rocm-base vllm/vllm-openai-rocm:latest-base
docker tag public.ecr.aws/q9t5s3a7/vllm-release-repo:${ROCM_BASE_CACHE_KEY}-rocm-base vllm/vllm-openai-rocm:v${RELEASE_VERSION}-base
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
# (per-arch + multi-arch manifest) or skip everything. Publishing only one
# arch would leave `:latest-x86_64` pointing at the new release while the
# `:latest` multi-arch manifest still resolves to the previous release.
CPU_X86_TAG=public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v${RELEASE_VERSION}
CPU_ARM_TAG=public.ecr.aws/q9t5s3a7/vllm-arm64-cpu-release-repo:v${RELEASE_VERSION}
CPU_X86_AVAILABLE=false
CPU_ARM_AVAILABLE=false
docker manifest inspect "${CPU_X86_TAG}" >/dev/null 2>&1 && CPU_X86_AVAILABLE=true
docker manifest inspect "${CPU_ARM_TAG}" >/dev/null 2>&1 && CPU_ARM_AVAILABLE=true
if [ "$CPU_X86_AVAILABLE" = "true" ] && [ "$CPU_ARM_AVAILABLE" = "true" ]; then
docker pull "${CPU_X86_TAG}"
docker tag "${CPU_X86_TAG}" vllm/vllm-openai-cpu:latest-x86_64
docker tag "${CPU_X86_TAG}" vllm/vllm-openai-cpu:v${RELEASE_VERSION}-x86_64
docker push vllm/vllm-openai-cpu:latest-x86_64
docker push vllm/vllm-openai-cpu:v${RELEASE_VERSION}-x86_64
docker pull "${CPU_ARM_TAG}"
docker tag "${CPU_ARM_TAG}" vllm/vllm-openai-cpu:latest-arm64
docker tag "${CPU_ARM_TAG}" vllm/vllm-openai-cpu:v${RELEASE_VERSION}-arm64
docker push vllm/vllm-openai-cpu:latest-arm64
docker push vllm/vllm-openai-cpu:v${RELEASE_VERSION}-arm64
docker manifest rm vllm/vllm-openai-cpu:latest || true
docker manifest rm vllm/vllm-openai-cpu:v${RELEASE_VERSION} || true
docker manifest create vllm/vllm-openai-cpu:latest vllm/vllm-openai-cpu:latest-x86_64 vllm/vllm-openai-cpu:latest-arm64
docker manifest create vllm/vllm-openai-cpu:v${RELEASE_VERSION} vllm/vllm-openai-cpu:v${RELEASE_VERSION}-x86_64 vllm/vllm-openai-cpu:v${RELEASE_VERSION}-arm64
docker manifest push vllm/vllm-openai-cpu:latest
docker manifest push vllm/vllm-openai-cpu:v${RELEASE_VERSION}
elif [ "$CPU_X86_AVAILABLE" = "false" ] && [ "$CPU_ARM_AVAILABLE" = "false" ]; then
echo "WARNING: Neither CPU image found in ECR, skipping CPU publish (ensure block-cpu-release-image-build and block-arm64-cpu-release-image-build were unblocked and the builds finished pushing)"
else
# Partial state: one arch built, the other did not. Fail loudly rather than
# ship a Docker Hub state where `:latest-${arch}` and `:latest` (multi-arch)
# disagree on which release they point at.
echo "ERROR: Partial CPU build detected (x86_64=${CPU_X86_AVAILABLE}, arm64=${CPU_ARM_AVAILABLE})."
echo " Refusing to publish to avoid split-tag drift between per-arch and multi-arch tags."
echo " Re-run the missing CPU build and retry, or manually publish if a single-arch release is intended."
exit 1
fi
echo ""
echo "Successfully published release images for v${RELEASE_VERSION}"
-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
}
@@ -1,239 +0,0 @@
#!/usr/bin/env bash
set -euo pipefail
MODE="${1:-}"
if [[ "$MODE" != "style-clippy" && "$MODE" != "test" ]]; then
echo "Usage: $0 {style-clippy|test}" >&2
exit 2
fi
if ROOT_DIR="$(git rev-parse --show-toplevel 2>/dev/null)"; then
:
else
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd -P)"
ROOT_DIR="$(cd -- "${SCRIPT_DIR}/../.." && pwd -P)"
fi
cd "$ROOT_DIR"
export CARGO_TERM_COLOR="${CARGO_TERM_COLOR:-always}"
export CARGO_HOME="${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}"
CARGO_LLVM_COV_VERSION="${CARGO_LLVM_COV_VERSION:-0.8.7}"
log_section() {
echo "--- $*"
}
install_protoc() {
local arch
case "$(uname -m)" in
x86_64)
arch="x86_64"
;;
aarch64|arm64)
arch="aarch_64"
;;
*)
echo "Unsupported protoc architecture: $(uname -m)" >&2
return 1
;;
esac
local url="https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOC_VERSION}/protoc-${PROTOC_VERSION}-linux-${arch}.zip"
local tmp_dir
tmp_dir="$(mktemp -d)"
log_section "Installing protoc ${PROTOC_VERSION}"
curl -L --proto '=https' --tlsv1.2 -sSf "$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() {
awk -F '"' '/channel[[:space:]]*=/ { print $2; exit }' rust-toolchain.toml
}
install_rust_toolchain() {
log_section "Installing Rust toolchain"
if ! command -v rustup >/dev/null 2>&1; then
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs \
| sh -s -- -y --profile minimal --default-toolchain none
fi
local toolchain
toolchain="$(rust_toolchain)"
rustup toolchain install "$toolchain" --profile minimal --component rustfmt,clippy
rustup component add --toolchain "$toolchain" rustfmt clippy
}
install_cargo_binstall() {
log_section "Installing cargo-binstall ${CARGO_BINSTALL_VERSION}"
curl -L --proto '=https' --tlsv1.2 -sSf \
"https://raw.githubusercontent.com/cargo-bins/cargo-binstall/v${CARGO_BINSTALL_VERSION}/install-from-binstall-release.sh" \
| env BINSTALL_VERSION="$CARGO_BINSTALL_VERSION" bash
cargo-binstall -V
}
install_cargo_sort() {
log_section "Installing cargo-sort ${CARGO_SORT_VERSION_REQ}"
cargo binstall --no-confirm --force "cargo-sort@${CARGO_SORT_VERSION_REQ}"
}
install_cargo_deny() {
log_section "Installing cargo-deny ${CARGO_DENY_VERSION_REQ}"
cargo binstall --no-confirm --force "cargo-deny@${CARGO_DENY_VERSION_REQ}"
}
install_cargo_nextest() {
log_section "Installing cargo-nextest ${CARGO_NEXTEST_VERSION_REQ}"
cargo binstall \
--no-confirm \
--force \
--secure \
"cargo-nextest@${CARGO_NEXTEST_VERSION_REQ}"
}
install_cargo_llvm_cov() {
log_section "Installing cargo-llvm-cov ${CARGO_LLVM_COV_VERSION}"
local toolchain
toolchain="$(rust_toolchain)"
rustup component add --toolchain "$toolchain" llvm-tools-preview
cargo binstall \
--no-confirm \
--force \
--secure \
"cargo-llvm-cov@${CARGO_LLVM_COV_VERSION}"
}
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" \
| 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
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 \
--workspace \
--all-targets \
--all-features \
--locked \
-- \
-D warnings
}
run_tests() {
install_uv
setup_pyo3_python
install_cargo_binstall
install_cargo_nextest
install_cargo_llvm_cov
log_section "Running cargo nextest with Rust coverage"
mkdir -p artifacts
export LLVM_PROFILE_FILE_NAME="vllm-rust-unit-%4m.profraw"
cargo llvm-cov clean \
--manifest-path rust/Cargo.toml \
--profraw-only
set +e
cargo llvm-cov nextest \
--manifest-path rust/Cargo.toml \
--workspace \
--all-features \
--locked \
--no-fail-fast \
--no-clean \
--lcov \
--output-path artifacts/rust-unit.lcov \
--ignore-filename-regex='/\.cargo/(registry|git)/|/rustc/|/target/'
local coverage_rc=$?
local upload_rc=0
if [[ $coverage_rc -eq 0 ]]; then
# shellcheck source=.buildkite/scripts/rust-coverage.sh
source .buildkite/scripts/rust-coverage.sh
rust_coverage_upload artifacts/rust-unit.lcov rust-unit
upload_rc=$?
fi
set -e
if [[ $coverage_rc -ne 0 ]]; then
return "$coverage_rc"
fi
return "$upload_rc"
}
install_protoc
install_rust_toolchain
case "$MODE" in
style-clippy)
run_style_clippy
;;
test)
run_tests
;;
esac
-182
View File
@@ -1,182 +0,0 @@
#!/bin/sh
RUST_CODECOV_VERSION="v11.3.1"
RUST_CODECOV_SHA256="ca1d64196d2d34771084afe76ea657d581bf628e31d993ff8e52ea09cc88a56d"
rust_coverage_repo_root() {
if [ -f /vllm-workspace/.buildkite/scripts/rust-coverage.sh ]; then
printf '%s\n' /vllm-workspace
elif [ -n "${BUILDKITE_BUILD_CHECKOUT_PATH:-}" ] \
&& [ -d "$BUILDKITE_BUILD_CHECKOUT_PATH" ]; then
printf '%s\n' "$BUILDKITE_BUILD_CHECKOUT_PATH"
else
git rev-parse --show-toplevel
fi
}
rust_coverage_start() {
RUST_COVERAGE_FLAG=${1:?coverage flag is required}
RUST_COVERAGE_DIR="/tmp/vllm-rust-coverage/${BUILDKITE_JOB_ID:-local}"
export RUST_COVERAGE_FLAG RUST_COVERAGE_DIR
mkdir -p "$RUST_COVERAGE_DIR"
LLVM_PROFILE_FILE="$RUST_COVERAGE_DIR/rust-%4m.profraw"
export LLVM_PROFILE_FILE
trap rust_coverage_finalize 0
}
rust_coverage_objects() {
rust_cov_objects_manifest="$(dirname "$(command -v llvm-cov)")/../objects"
python3 - "$rust_cov_objects_manifest" <<'PY'
from pathlib import Path
import sys
for relative in Path(sys.argv[1]).read_text().splitlines():
for entry in sys.path:
path = Path(entry or ".").resolve() / relative
if path.is_file():
print(path)
break
else:
raise RuntimeError(f"installed Rust coverage object was not found: {relative}")
PY
}
rust_coverage_collect() {
rust_cov_collect_flag=${1:?coverage flag is required}
rust_cov_collect_lcov="$RUST_COVERAGE_DIR/$rust_cov_collect_flag.lcov"
rust_cov_collect_objects=$(rust_coverage_objects) || return 1
rust_cov_collect_primary=
set --
while IFS= read -r rust_cov_collect_object; do
if [ -z "$rust_cov_collect_primary" ]; then
rust_cov_collect_primary=$rust_cov_collect_object
else
set -- "$@" "--object=$rust_cov_collect_object"
fi
done <<EOF
$rust_cov_collect_objects
EOF
llvm-profdata merge \
-sparse \
"$RUST_COVERAGE_DIR"/*.profraw \
-o "$RUST_COVERAGE_DIR/merged.profdata" || return 1
llvm-cov export \
"$rust_cov_collect_primary" \
"$@" \
--format=lcov \
--instr-profile="$RUST_COVERAGE_DIR/merged.profdata" \
--ignore-filename-regex='/\.cargo/(registry|git)/|/rustc/|/target/' \
> "$rust_cov_collect_lcov" || return 1
RUST_COVERAGE_LCOV=$rust_cov_collect_lcov
export RUST_COVERAGE_LCOV
}
rust_coverage_upload() {
rust_cov_upload_lcov=${1:?LCOV path is required}
rust_cov_upload_flag=${2:?coverage flag is required}
rust_cov_upload_repo_root=$(rust_coverage_repo_root) || return 1
if [ "$(uname -m)" != "x86_64" ]; then
echo "Rust coverage upload currently supports x86_64 CI agents" >&2
return 1
fi
rust_cov_upload_codecov_dir=$(mktemp -d /tmp/codecov-bin.XXXXXX) \
|| return 1
curl -fsSL \
"https://github.com/codecov/codecov-cli/releases/download/${RUST_CODECOV_VERSION}/codecovcli_linux" \
-o "$rust_cov_upload_codecov_dir/codecov" || return 1
echo "$RUST_CODECOV_SHA256 $rust_cov_upload_codecov_dir/codecov" \
| sha256sum -c - || return 1
chmod +x "$rust_cov_upload_codecov_dir/codecov" || return 1
rust_cov_upload_slug="vllm-project/vllm"
if [ -n "${BUILDKITE_PULL_REQUEST:-}" ] \
&& [ "${BUILDKITE_PULL_REQUEST}" != "false" ] \
&& [ -n "${BUILDKITE_PULL_REQUEST_REPO:-}" ]; then
rust_cov_upload_slug=$(echo "$BUILDKITE_PULL_REQUEST_REPO" \
| sed -E 's#(git@|https?://)([^/:]+)[:/]([^/]+/[^/.]+)(\.git)?$#\3#')
case "$rust_cov_upload_slug" in
*/*) ;;
*) rust_cov_upload_slug="vllm-project/vllm" ;;
esac
fi
rust_cov_upload_branch=${BUILDKITE_BRANCH:?BUILDKITE_BRANCH is required}
if [ -z "${CODECOV_TOKEN:-}" ]; then
# Codecov accepts tokenless public uploads on unprotected branch names.
# A colon-separated prefix keeps feature-branch and fork uploads from
# requiring a repository secret.
if [ -n "${BUILDKITE_PULL_REQUEST:-}" ] \
&& [ "${BUILDKITE_PULL_REQUEST}" != "false" ]; then
rust_cov_upload_branch="pr${BUILDKITE_PULL_REQUEST}:$rust_cov_upload_branch"
else
rust_cov_upload_branch="buildkite:$rust_cov_upload_branch"
fi
fi
set --
set -- "$@" upload-process
set -- "$@" --file "$rust_cov_upload_lcov"
# LCOV paths are mapped server-side by codecov.yml. Skip the CLI's local
# source-line fix scanning, which is unrelated to path mapping.
set -- "$@" --disable-search --disable-file-fixes
set -- "$@" --fail-on-error --git-service github
set -- "$@" --build "${BUILDKITE_BUILD_NUMBER:?BUILDKITE_BUILD_NUMBER is required}"
set -- "$@" --branch "$rust_cov_upload_branch"
set -- "$@" --sha "${BUILDKITE_COMMIT:?BUILDKITE_COMMIT is required}"
set -- "$@" --slug "$rust_cov_upload_slug"
set -- "$@" --flag "$rust_cov_upload_flag"
set -- "$@" --name "${rust_cov_upload_flag}-${BUILDKITE_JOB_ID:?BUILDKITE_JOB_ID is required}"
set -- "$@" --dir "$rust_cov_upload_repo_root"
set -- "$@" --network-root-folder "$rust_cov_upload_repo_root"
if [ -n "${BUILDKITE_PULL_REQUEST:-}" ] \
&& [ "${BUILDKITE_PULL_REQUEST}" != "false" ]; then
set -- "$@" --pr "$BUILDKITE_PULL_REQUEST"
fi
rust_cov_upload_log="$rust_cov_upload_codecov_dir/codecov.log"
# E2E steps run from tests/, so execute from the repository root to resolve
# codecov.yml and repository paths consistently.
(
cd "$rust_cov_upload_repo_root" || exit 1
"$rust_cov_upload_codecov_dir/codecov" "$@"
) >"$rust_cov_upload_log" 2>&1
rust_cov_upload_rc=$?
cat "$rust_cov_upload_log"
# v11.3.1 can log API failures while returning zero even with
# --fail-on-error. Preserve the strict CI contract explicitly.
if grep -aEq 'error.* -- ' "$rust_cov_upload_log"; then
echo "Codecov CLI reported an upload error" >&2
rust_cov_upload_rc=1
fi
rm -rf "$rust_cov_upload_codecov_dir"
return "$rust_cov_upload_rc"
}
rust_coverage_finalize() {
rust_cov_finalize_test_rc=$?
trap - 0
set +e
rust_coverage_collect "$RUST_COVERAGE_FLAG"
rust_cov_finalize_collect_rc=$?
rust_cov_finalize_upload_rc=0
if [ "$rust_cov_finalize_collect_rc" -eq 0 ]; then
rust_coverage_upload "$RUST_COVERAGE_LCOV" "$RUST_COVERAGE_FLAG"
rust_cov_finalize_upload_rc=$?
fi
find "$RUST_COVERAGE_DIR" -type f -name '*.profraw' -delete
if [ "$rust_cov_finalize_test_rc" -ne 0 ]; then
exit "$rust_cov_finalize_test_rc"
fi
if [ "$rust_cov_finalize_collect_rc" -ne 0 ]; then
exit "$rust_cov_finalize_collect_rc"
fi
exit "$rust_cov_finalize_upload_rc"
}
@@ -49,7 +49,6 @@ for BACK in "${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 "${SERVER_PID}" 2>/dev/null || true
@@ -59,7 +51,6 @@ vllm serve "$MODEL" \
--offload-num-in-group 2 \
--offload-prefetch-step 1 \
--offload-params w13_weight w2_weight \
--generation-config vllm \
--port "$PORT" \
${EXTRA_ARGS+"${EXTRA_ARGS[@]}"} &
SERVER_PID=$!
@@ -48,7 +48,7 @@ for BACK in "${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
@@ -28,7 +28,6 @@
# BFCL_MAX_MODEL_LEN - Max model length (default: 4096)
# BFCL_PORT - Server port (default: 8000)
# BFCL_REASONING_PARSER - Reasoning parser name (default: disabled)
# BFCL_TEMPERATURE - Temperature (default: 0.0)
# BFCL_EXTRA_ARGS - Additional vLLM server args
set -euo pipefail
@@ -44,7 +43,6 @@ TP_SIZE="${BFCL_TP_SIZE:-1}"
MAX_MODEL_LEN="${BFCL_MAX_MODEL_LEN:-4096}"
PORT="${BFCL_PORT:-8000}"
REASONING_PARSER="${BFCL_REASONING_PARSER:-}"
TEMPERATURE="${BFCL_TEMPERATURE:-0.0}"
EXTRA_ARGS="${BFCL_EXTRA_ARGS:-}"
# Set up output directory
@@ -70,7 +68,7 @@ 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 +98,7 @@ 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
@@ -141,7 +139,7 @@ echo "vLLM server is ready. (started in ${SECONDS_WAITED}s)"
# be patched in-process so BFCL knows to use the OpenAI-compatible handler
# against our local vLLM server.
bfcl_exit_code=0
python3 - "$MODEL" "$TEST_CATEGORY" "$NUM_THREADS" "$PORT" "$API_TYPE" "$TEMPERATURE" "$OUTPUT_DIR" << 'PYEOF' || bfcl_exit_code=$?
python3 - "$MODEL" "$TEST_CATEGORY" "$NUM_THREADS" "$PORT" "$API_TYPE" "$OUTPUT_DIR" << 'PYEOF' || bfcl_exit_code=$?
import os
import sys
@@ -150,8 +148,7 @@ test_category = sys.argv[2]
num_threads = int(sys.argv[3])
port = sys.argv[4]
api_type = sys.argv[5]
temperature = float(sys.argv[6])
output_dir = sys.argv[7] if len(sys.argv) > 7 and sys.argv[7] else os.getcwd()
output_dir = sys.argv[6] if len(sys.argv) > 6 and sys.argv[6] else os.getcwd()
os.environ["OPENAI_BASE_URL"] = f"http://localhost:{port}/v1"
os.environ["OPENAI_API_KEY"] = "dummy"
@@ -207,7 +204,6 @@ gen_kwargs["model"] = [model]
gen_kwargs["test_category"] = [c.strip() for c in test_category.split(",")]
gen_kwargs["skip_server_setup"] = True
gen_kwargs["num_threads"] = num_threads
gen_kwargs["temperature"] = temperature
generate(**gen_kwargs)
# ---- evaluate ----
+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:${NC}"
+14 -16
View File
@@ -2,24 +2,14 @@
set -ex
# Upload a single wheel to S3, after detecting and applying the appropriate
# manylinux platform tag with auditwheel.
# Upload a single wheel to S3 (rename linux -> manylinux).
# Index generation is handled separately by generate-and-upload-nightly-index.sh.
# auditwheel is Linux-only; macOS wheels already carry a valid tag, so skip the
# manylinux retag for them.
WHEEL_PLATFORM="${VLLM_WHEEL_PLATFORM:-linux}"
if [[ "$WHEEL_PLATFORM" == "linux" ]]; then
# shellcheck source=lib/manylinux.sh
source .buildkite/scripts/lib/manylinux.sh
fi
BUCKET="vllm-wheels"
SUBPATH=$BUILDKITE_COMMIT
S3_COMMIT_PREFIX="s3://$BUCKET/$SUBPATH/"
# ========= locate the wheel ==========
# ========= collect, rename & upload the wheel ==========
# Assume wheels are in artifacts/dist/*.whl
wheel_files=(artifacts/dist/*.whl)
@@ -31,12 +21,20 @@ if [[ ${#wheel_files[@]} -ne 1 ]]; then
fi
wheel="${wheel_files[0]}"
# ========= detect manylinux tag and rename ==========
# default build image uses ubuntu 20.04, which corresponds to manylinux_2_31
# we also accept params as manylinux tag
# refer to https://github.com/mayeut/pep600_compliance?tab=readme-ov-file#acceptable-distros-to-build-wheels
manylinux_version="${1:-manylinux_2_31}"
if [[ "$WHEEL_PLATFORM" == "linux" ]]; then
wheel="$(apply_manylinux_tag "$wheel")"
echo "Renamed wheel to: $wheel"
# Rename 'linux' to the appropriate manylinux version in the wheel filename
if [[ "$wheel" != *"linux"* ]]; then
echo "Error: Wheel filename does not contain 'linux': $wheel"
exit 1
fi
new_wheel="${wheel/linux/$manylinux_version}"
mv -- "$wheel" "$new_wheel"
wheel="$new_wheel"
echo "Renamed wheel to: $wheel"
# Extract the version from the wheel
version=$(unzip -p "$wheel" '**/METADATA' | grep '^Version: ' | cut -d' ' -f2)
@@ -39,17 +39,10 @@ fi
set -x # avoid printing secrets above
# install uv if not already available
if ! command -v uv &> /dev/null; then
curl -LsSf https://astral.sh/uv/install.sh | UV_VERSION=0.11.14 sh
export PATH="$HOME/.local/bin:$PATH"
fi
# install twine and sdist build prerequisites using uv with Python 3.12
uv venv --python 3.12 /tmp/vllm-release-env
# install twine from pypi
python3 -m venv /tmp/vllm-release-env
source /tmp/vllm-release-env/bin/activate
uv pip install twine
uv pip install -r requirements/build/cuda.txt
pip install twine
python3 -m twine --version
# copy release wheels to local directory
+21 -26
View File
@@ -20,6 +20,10 @@ BUCKET="${S3_BUCKET:-vllm-wheels}"
ROCM_SUBPATH="rocm/${BUILDKITE_COMMIT}"
S3_COMMIT_PREFIX="s3://$BUCKET/$ROCM_SUBPATH/"
INDICES_OUTPUT_DIR="rocm-indices"
PYTHON="${PYTHON_PROG:-python3}"
# ROCm uses manylinux_2_35 (Ubuntu 22.04 based)
MANYLINUX_VERSION="manylinux_2_35"
echo "========================================"
echo "ROCm Wheel Upload Configuration"
@@ -30,21 +34,19 @@ echo "Commit: $BUILDKITE_COMMIT"
echo "Branch: $BUILDKITE_BRANCH"
echo "========================================"
# ======== Part 0: Setup Python and helpers ========
# ======== Part 0: Setup Python ========
# Pick a Python interpreter for index generation -- local if recent
# enough, else a one-shot docker fallback.
# shellcheck source=lib/select-python.sh
source .buildkite/scripts/lib/select-python.sh
select_python
# Detect if python3.12+ is available
has_new_python=$($PYTHON -c "print(1 if __import__('sys').version_info >= (3,12) else 0)" 2>/dev/null || echo 0)
if [[ "$has_new_python" -eq 0 ]]; then
# Use new python from docker
# Use --user to ensure files are created with correct ownership (not root)
docker pull python:3-slim
PYTHON="docker run --rm --user $(id -u):$(id -g) -v $(pwd):/app -w /app python:3-slim python3"
fi
# Set up auditwheel-in-a-container for the manylinux retagging step.
# Distinct from select_python: ``manylinux.sh`` deliberately pins both
# the Python and auditwheel versions (the script reads auditwheel
# internals) and so always runs in a known-good container regardless
# of what's on the agent.
# shellcheck source=lib/manylinux.sh
source .buildkite/scripts/lib/manylinux.sh
echo "Using python interpreter: $PYTHON"
echo "Python version: $($PYTHON --version)"
# ======== Part 1: Collect and prepare wheels ========
@@ -61,18 +63,11 @@ if [ "$WHEEL_COUNT" -eq 0 ]; then
exit 1
fi
# Detect the appropriate manylinux platform tag for any wheel that still
# carries the generic ``linux_<arch>`` tag, and rename it in place. We use
# auditwheel via ``apply_manylinux_tag`` (see lib/manylinux.sh) rather than
# a hard-coded ``manylinux_2_35`` string so that the label tracks the actual
# glibc symbol versions used by the binaries (and stays correct if the
# rocm_base image is rebased).
#
# The ``linux``/``manylinux`` filter below skips both pre-tagged wheels
# (e.g. upstream torch) and pure-Python ``-any.whl`` wheels.
# Rename linux to manylinux in wheel filenames
for wheel in all-rocm-wheels/*.whl; do
if [[ "$wheel" == *"linux"* ]] && [[ "$wheel" != *"manylinux"* ]]; then
new_wheel="$(apply_manylinux_tag "$wheel")"
new_wheel="${wheel/linux/$MANYLINUX_VERSION}"
mv -- "$wheel" "$new_wheel"
echo "Renamed: $(basename "$wheel") -> $(basename "$new_wheel")"
fi
done
@@ -113,8 +108,8 @@ $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://$BUCKET/rocm/nightly/"
fi
@@ -147,7 +142,7 @@ echo ""
echo "Install command (by commit):"
echo " pip install vllm --extra-index-url https://${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"
+938 -1283
View File
File diff suppressed because it is too large Load Diff
+6 -24
View File
@@ -2,9 +2,8 @@ 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)
timeout_in_minutes: 30
device: h100
source_file_dependencies:
- vllm/config/attention.py
@@ -12,32 +11,15 @@ 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:
device: mi325_1
timeout_in_minutes: 95
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
device: b200-k8s
timeout_in_minutes: 30
device: b200
source_file_dependencies:
- vllm/config/attention.py
- vllm/model_executor/layers/attention
- 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
@@ -3,22 +3,15 @@ depends_on:
- image-build
steps:
- label: Basic Correctness
key: basic-correctness
timeout_in_minutes: 45
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:
device: mi325_1
timeout_in_minutes: 70
depends_on:
- image-build-amd
+4 -12
View File
@@ -3,30 +3,22 @@ depends_on:
- image-build
steps:
- label: Benchmarks CLI Test
key: benchmarks-cli-test
timeout_in_minutes: 30
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
depends_on:
- image-build-amd
- label: Attention Benchmarks Smoke Test (B200)
key: attention-benchmarks-smoke-test-b200
device: b200-k8s
device: b200
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
+15 -28
View File
@@ -3,8 +3,7 @@ depends_on:
- image-build
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:
@@ -18,8 +17,7 @@ steps:
- pytest -v -s tests/compile/correctness_e2e/test_sequence_parallel.py
- 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
@@ -29,8 +27,7 @@ steps:
- pytest -v -s tests/compile/correctness_e2e/test_sequence_parallel.py
- 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
@@ -40,10 +37,9 @@ steps:
- pytest -v -s tests/compile/correctness_e2e/test_async_tp.py
- 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
device: b200
optional: true
num_devices: 2
commands:
@@ -51,8 +47,7 @@ steps:
- pytest -v -s tests/compile/correctness_e2e/test_async_tp.py
- 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
@@ -65,10 +60,9 @@ steps:
- pytest -s -v tests/compile/passes/distributed
- 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
device: b200
source_file_dependencies:
- csrc/quantization/fp4/
- vllm/model_executor/layers/quantization/
@@ -95,8 +89,7 @@ steps:
- pytest -v -s tests/compile/fullgraph/test_full_graph.py::test_fp8_kv_scale_compile
- 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
@@ -114,8 +107,7 @@ steps:
- pytest -v -s tests/compile/fusions_e2e/test_tp1_quant.py -k "inductor_partition and not +rms_norm and +quant_fp8 and (qwen3 or deepseek)"
- 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
@@ -134,10 +126,9 @@ steps:
- pytest -v -s tests/compile/fusions_e2e/test_tp1_quant.py -k "llama-3"
- label: Fusion E2E Config Sweep (B200)
key: fusion-e2e-config-sweep-b200
timeout_in_minutes: 30
working_dir: "/vllm-workspace/"
device: b200-k8s
device: b200
num_devices: 1
optional: true
commands:
@@ -148,8 +139,7 @@ steps:
- pytest -v -s tests/compile/fusions_e2e/test_tp1_quant.py -k "inductor_partition and (FLASHINFER and not +rms_norm and (not +quant_fp8 or +quant_fp8 and (qwen3 or deepseek)) or llama-3)"
- 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
@@ -166,8 +156,7 @@ steps:
- pytest -v -s tests/compile/fusions_e2e/test_tp2_async_tp.py -k "inductor_partition and not +rms_norm and (not +quant_fp8 or +quant_fp8 and (qwen3 or deepseek))"
- 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
@@ -186,7 +175,6 @@ steps:
- pytest -v -s tests/compile/fusions_e2e/test_tp2_ar_rms.py -k "llama-3"
- label: Fusion E2E TP2 AsyncTP Config Sweep (H100)
key: fusion-e2e-tp2-asynctp-config-sweep-h100
timeout_in_minutes: 40
working_dir: "/vllm-workspace/"
device: h100
@@ -206,10 +194,9 @@ steps:
- pytest -v -s tests/compile/fusions_e2e/test_tp2_async_tp.py -k "llama-3"
- 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
device: b200
num_devices: 2
source_file_dependencies:
- csrc/quantization/
+5 -13
View File
@@ -2,25 +2,18 @@ group: CUDA
depends_on:
- image-build
steps:
- label: Platform Tests
key: platform-tests
timeout_in_minutes: 20
- label: Platform Tests (CUDA)
timeout_in_minutes: 15
device: h200_18gb
source_file_dependencies:
- vllm/envs.py
- vllm/logger.py
- vllm/platforms/
- vllm/plugins/
- vllm/utils/
- vllm/
- tests/cuda
commands:
- pytest -v -s cuda/test_cuda_context.py
- pytest -v -s cuda/test_platform_no_cuda_init.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
@@ -28,5 +21,4 @@ steps:
- vllm/compilation
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_cudagraph_mode.py
+25 -154
View File
@@ -3,225 +3,96 @@ depends_on:
- image-build
steps:
- label: Distributed NixlConnector PD accuracy (4 GPUs)
key: distributed-nixlconnector-pd-accuracy-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/
- vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.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_accuracy_test.sh
mirror:
amd:
dind: false
device: mi300_4
timeout_in_minutes: 85
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
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.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
- FLASHINFER=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
- label: Push NixlConnector PP prefill PD accuracy (4 GPUs)
key: push-nixlconnector-pp-prefill-pd-accuracy-4-gpus
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- tests/v1/kv_connector/nixl_integration/
- tests/v1/kv_connector/nixl_push_integration/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_push_integration/config_sweep_accuracy_test.sh
- label: DP EP Distributed NixlConnector PD accuracy tests (4 GPUs)
key: dp-ep-distributed-nixlconnector-pd-accuracy-tests-4-gpus
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.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
- DP_EP=1 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
- 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/
- vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.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
- 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: 85
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: 20
working_dir: "/vllm-workspace/tests"
num_devices: 4
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.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
- HYBRID_SSM=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
mirror:
amd:
dind: false
device: mi300_4
timeout_in_minutes: 80
depends_on:
- image-build-amd
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- tests/v1/kv_connector/nixl_integration/
- vllm/platforms/rocm.py
commands:
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
- HYBRID_SSM=1 ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
- label: Hybrid SSM NixlConnector PD prefix cache test (2 GPUs)
key: hybrid-ssm-nixlconnector-pd-prefix-cache-2-gpus
timeout_in_minutes: 25
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/v1/core/sched/
- vllm/v1/core/kv_cache_coordinator.py
- tests/v1/kv_connector/nixl_integration/
commands:
- bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
- bash v1/kv_connector/nixl_integration/run_mamba_prefix_cache_test.sh
- label: MultiConnector (Nixl+Offloading) PD accuracy (2 GPUs)
key: multiconnector-nixl-offloading-pd-accuracy-2-gpus
timeout_in_minutes: 40
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 2
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.py
- vllm/distributed/kv_transfer/kv_connector/v1/multi_connector.py
- vllm/distributed/kv_transfer/kv_connector/v1/offloading_connector.py
- 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
source_file_dependencies:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.py
- 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
- bash v1/kv_connector/nixl_integration/config_sweep_spec_decode_test.sh
mirror:
amd:
dind: false
device: mi300_2
timeout_in_minutes: 70
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
- uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
- bash v1/kv_connector/nixl_integration/spec_decode_acceptance_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:
- vllm/distributed/kv_transfer/kv_connector/v1/nixl/
- vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.py
- vllm/distributed/kv_transfer/kv_connector/v1/multi_connector.py
- vllm/distributed/kv_transfer/kv_connector/v1/offloading_connector.py
- 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
+24 -58
View File
@@ -3,8 +3,7 @@ depends_on:
- image-build
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:
@@ -17,8 +16,7 @@ steps:
- pytest -v -s distributed/test_shm_storage.py
- 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:
@@ -37,26 +35,9 @@ 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
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:
@@ -78,8 +59,7 @@ steps:
- pytest -v -s ./compile/test_wrapper.py
- 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:
@@ -101,7 +81,6 @@ steps:
- pytest -v -s v1/worker/test_worker_memory_snapshot.py
- label: Distributed Torchrun + Examples (4 GPUs)
key: distributed-torchrun-examples-4-gpus
timeout_in_minutes: 30
working_dir: "/vllm-workspace"
num_devices: 4
@@ -109,8 +88,9 @@ steps:
- vllm/distributed/
- tests/distributed/test_torchrun_example.py
- tests/distributed/test_torchrun_example_moe.py
- examples/offline_inference/rlhf_colocate.py
- examples/rl/
- tests/examples/features/data_parallel/data_parallel_offline.py
- tests/examples/offline_inference/data_parallel.py
commands:
# https://github.com/NVIDIA/nccl/issues/1838
- export NCCL_CUMEM_HOST_ENABLE=0
@@ -127,14 +107,13 @@ steps:
# test with torchrun tp=2 and dp=2 with ep
- TP_SIZE=2 DP_SIZE=2 ENABLE_EP=1 torchrun --nproc-per-node=4 tests/distributed/test_torchrun_example_moe.py
# test with internal dp
- python3 examples/features/data_parallel/data_parallel_offline.py --enforce-eager
- python3 examples/offline_inference/data_parallel.py --enforce-eager
# rlhf examples
- VLLM_ALLOW_INSECURE_SERIALIZATION=1 python3 examples/rl/rlhf_nccl.py
- VLLM_ALLOW_INSECURE_SERIALIZATION=1 python3 examples/rl/rlhf_ipc.py
- 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:
@@ -154,8 +133,7 @@ steps:
- pytest -v -s distributed/test_utils.py
- 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:
@@ -175,29 +153,25 @@ 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)
timeout_in_minutes: 10
device: h100
num_devices: 8
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- examples/features/torchrun/torchrun_dp_example_offline.py
- examples/offline_inference/torchrun_dp_example.py
- vllm/config/parallel.py
- vllm/distributed/
- vllm/v1/engine/llm_engine.py
- vllm/v1/executor/uniproc_executor.py
- vllm/v1/worker/gpu_worker.py
- tests/distributed/test_mnnvl_alltoall.py
commands:
# https://github.com/NVIDIA/nccl/issues/1838
- export NCCL_CUMEM_HOST_ENABLE=0
# 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
- torchrun --nproc-per-node=8 ../examples/offline_inference/torchrun_dp_example.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)
device: a100
optional: true
num_devices: 4
@@ -211,9 +185,8 @@ steps:
- TARGET_TEST_SUITE=A100 pytest basic_correctness/ -v -s -m 'distributed(num_gpus=2)'
- pytest -v -s -x lora/test_mixtral.py
- label: Distributed Tests (2xH100-2xMI300)
key: distributed-tests-2xh100-2xmi300
timeout_in_minutes: 30
- label: Distributed Tests (2 GPUs)(H100)
timeout_in_minutes: 15
device: h100
optional: true
working_dir: "/vllm-workspace/"
@@ -221,27 +194,22 @@ steps:
commands:
- pytest -v -s tests/distributed/test_context_parallel.py
- VLLM_ALLOW_INSECURE_SERIALIZATION=1 python3 examples/rl/rlhf_async_new_apis.py
- VLLM_USE_DEEP_GEMM=1 VLLM_LOGGING_LEVEL=DEBUG python3 examples/features/data_parallel/data_parallel_offline.py --model=Qwen/Qwen1.5-MoE-A2.7B -tp=1 -dp=2 --max-model-len=2048 --all2all-backend=deepep_high_throughput
- VLLM_USE_DEEP_GEMM=1 VLLM_LOGGING_LEVEL=DEBUG python3 examples/offline_inference/data_parallel.py --model=Qwen/Qwen1.5-MoE-A2.7B -tp=1 -dp=2 --max-model-len=2048 --all2all-backend=deepep_high_throughput
- pytest -v -s tests/v1/distributed/test_dbo.py
- 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
device: b200-k8s
- label: Distributed Tests (2 GPUs)(B200)
device: b200
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
- label: 2 Node Test (4 GPUs)
key: 2-node-test-4-gpus
timeout_in_minutes: 30
working_dir: "/vllm-workspace/tests"
num_devices: 2
@@ -254,13 +222,12 @@ steps:
- vllm/executor/
- vllm/model_executor/models/
- tests/distributed/
- tests/examples/features/data_parallel/data_parallel_offline.py
- tests/examples/offline_inference/data_parallel.py
commands:
- ./.buildkite/scripts/run-multi-node-test.sh /vllm-workspace/tests 2 2 $IMAGE_TAG "VLLM_TEST_SAME_HOST=0 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_same_node.py | grep 'Same node test passed' && NUM_NODES=2 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_node_count.py | grep 'Node count test passed' && python3 ../examples/features/data_parallel/data_parallel_offline.py -dp=2 -tp=1 --dp-num-nodes=2 --dp-node-rank=0 --dp-master-addr=192.168.10.10 --dp-master-port=12345 --enforce-eager --trust-remote-code && VLLM_MULTI_NODE=1 pytest -v -s distributed/test_multi_node_assignment.py && VLLM_MULTI_NODE=1 pytest -v -s distributed/test_pipeline_parallel.py" "VLLM_TEST_SAME_HOST=0 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_same_node.py | grep 'Same node test passed' && NUM_NODES=2 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_node_count.py | grep 'Node count test passed' && python3 ../examples/features/data_parallel/data_parallel_offline.py -dp=2 -tp=1 --dp-num-nodes=2 --dp-node-rank=1 --dp-master-addr=192.168.10.10 --dp-master-port=12345 --enforce-eager --trust-remote-code"
- ./.buildkite/scripts/run-multi-node-test.sh /vllm-workspace/tests 2 2 $IMAGE_TAG "VLLM_TEST_SAME_HOST=0 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_same_node.py | grep 'Same node test passed' && NUM_NODES=2 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_node_count.py | grep 'Node count test passed' && python3 ../examples/offline_inference/data_parallel.py -dp=2 -tp=1 --dp-num-nodes=2 --dp-node-rank=0 --dp-master-addr=192.168.10.10 --dp-master-port=12345 --enforce-eager --trust-remote-code && VLLM_MULTI_NODE=1 pytest -v -s distributed/test_multi_node_assignment.py && VLLM_MULTI_NODE=1 pytest -v -s distributed/test_pipeline_parallel.py" "VLLM_TEST_SAME_HOST=0 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_same_node.py | grep 'Same node test passed' && NUM_NODES=2 torchrun --nnodes 2 --nproc-per-node=2 --rdzv_backend=c10d --rdzv_endpoint=192.168.10.10 distributed/test_node_count.py | grep 'Node count test passed' && python3 ../examples/offline_inference/data_parallel.py -dp=2 -tp=1 --dp-num-nodes=2 --dp-node-rank=1 --dp-master-addr=192.168.10.10 --dp-master-port=12345 --enforce-eager --trust-remote-code"
- 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:
@@ -274,8 +241,7 @@ steps:
- pytest -v -s distributed/test_pipeline_parallel.py
- 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:
-16
View File
@@ -1,16 +0,0 @@
group: Docker
depends_on:
- image-build-cpu
steps:
- label: Docker Build Metadata
timeout_in_minutes: 20
device: cpu-small
source_file_dependencies:
- .buildkite/release-pipeline.yaml
- .buildkite/scripts/docker-build-metadata-args.sh
- docker/Dockerfile
- docker/Dockerfile.cpu
- docker/docker-bake.hcl
- tests/tools/test_docker_build_metadata_args.py
commands:
- pytest -v -s tools/test_docker_build_metadata_args.py
+9 -14
View File
@@ -2,9 +2,8 @@ group: E2E Integration
depends_on:
- image-build
steps:
- label: DeepSeek V2-Lite Sync EPLB Accuracy (4xH100)
key: deepseek-v2-lite-sync-eplb-accuracy-4xh100
timeout_in_minutes: 25
- label: DeepSeek V2-Lite Accuracy
timeout_in_minutes: 60
device: h100
optional: true
num_devices: 4
@@ -12,9 +11,8 @@ steps:
commands:
- bash .buildkite/scripts/scheduled_integration_test/deepseek_v2_lite_ep_eplb.sh 0.25 200 8010
- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (4xH100)
key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-4xh100
timeout_in_minutes: 25
- label: Qwen3-30B-A3B-FP8-block Accuracy
timeout_in_minutes: 60
device: h100
optional: true
num_devices: 4
@@ -22,10 +20,9 @@ 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
device: b200-k8s
- label: Qwen3-30B-A3B-FP8-block Accuracy (B200)
timeout_in_minutes: 60
device: b200
optional: true
num_devices: 2
working_dir: "/vllm-workspace"
@@ -33,8 +30,7 @@ steps:
- bash .buildkite/scripts/scheduled_integration_test/qwen30b_a3b_fp8_block_ep_eplb.sh 0.8 200 8020 2 1
- 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
@@ -43,8 +39,7 @@ steps:
- bash .buildkite/scripts/scheduled_integration_test/qwen30b_a3b_fp8_dp4_async_eplb.sh 0.8 200 8050
- 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
+19 -94
View File
@@ -3,153 +3,78 @@ depends_on:
- image-build
steps:
- label: Engine
key: engine
timeout_in_minutes: 30
timeout_in_minutes: 15
device: h200_18gb
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/
- vllm/
- tests/engine
- tests/test_sequence
- tests/test_config
- tests/test_logger
- tests/test_vllm_port
- tests/test_jit_monitor.py
commands:
- pytest -v -s engine test_sequence.py test_config.py test_logger.py test_vllm_port.py test_jit_monitor.py
mirror:
amd:
device: mi325_1
timeout_in_minutes: 50
depends_on:
- image-build-amd
- pytest -v -s engine test_sequence.py test_config.py test_logger.py test_vllm_port.py
- 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/
commands:
- pytest -v -s v1/engine/test_preprocess_error_handling.py
- pytest -v -s v1/engine --ignore v1/engine/test_preprocess_error_handling.py
mirror:
amd:
device: mi325_1
timeout_in_minutes: 55
depends_on:
- image-build-amd
- label: e2e Scheduling (1 GPU)
key: e2e-scheduling-1-gpu
timeout_in_minutes: 35
timeout_in_minutes: 30
device: h200_18gb
source_file_dependencies:
- vllm/v1/
- tests/v1/e2e/general/
commands:
- pytest -v -s v1/e2e/general/test_async_scheduling.py
mirror:
amd:
device: mi325_1
timeout_in_minutes: 70
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: mi325_1
timeout_in_minutes: 60
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:
- 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
- vllm/
- tests/v1/e2e
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
device: mi325_2
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:
- 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
- vllm/
- tests/v1/e2e
commands:
# Only run tests that need 4 GPUs
- pytest -v -s v1/e2e/spec_decode/test_spec_decode.py -k "eagle_correctness_heavy"
mirror:
amd:
device: mi325_4
depends_on:
- image-build-amd
- label: V1 e2e (4xH100)
key: v1-e2e-4xh100
timeout_in_minutes: 35
timeout_in_minutes: 60
device: h100
num_devices: 4
optional: true
+47 -125
View File
@@ -2,160 +2,90 @@ group: Entrypoints
depends_on:
- image-build
steps:
- label: Entrypoints Unit Tests
device: h200_35gb
key: entrypoints-unit-tests
timeout_in_minutes: 25
- label: Entrypoints Unit Tests
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
- 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
mirror:
amd:
device: mi325_1
# TODO(akaratza): Test after Torch >= 2.12 bump
soft_fail: true
depends_on:
- image-build-amd
- pytest -v -s entrypoints/offline_mode # Needs to avoid interference with other tests
- label: Entrypoints Integration (API Server)
key: entrypoints-integration-api-server
device: h200_35gb
- label: Entrypoints Integration (API Server openai - Part 1)
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/serve
- tests/entrypoints/scale_out
- tests/entrypoints/openai
- tests/entrypoints/test_chat_utils
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
- 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:
device: mi325_1
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server OpenAI - Part 1)
device: h200_35gb
key: entrypoints-integration-api-server-openai-part-1
timeout_in_minutes: 45
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:
device: mi325_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: 45
- label: 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:
- 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
- pytest -v -s entrypoints/openai/speech_to_text/
- pytest -v -s entrypoints/test_chat_utils.py
mirror:
amd:
device: mi325_1
timeout_in_minutes: 80
depends_on:
- image-build-amd
- label: Entrypoints Integration (API Server Generate)
device: h200_35gb
key: entrypoints-integration-api-server-generate
- label: 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/speech_to_text/ --ignore=entrypoints/openai/correctness/ --ignore=entrypoints/openai/tool_parsers/ --ignore=entrypoints/openai/responses --ignore=entrypoints/openai/test_multi_api_servers.py
- label: 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
- tests/entrypoints/tool_parsers
- tests/entrypoints/anthropic
- tests/entrypoints/generate
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
- pytest -v -s entrypoints/tool_parsers
- pytest -v -s entrypoints/generate
- pytest -v -s entrypoints/anthropic
mirror:
amd:
device: mi325_1
timeout_in_minutes: 65
depends_on:
- image-build-amd
- label: Entrypoints Integration (Responses API)
device: h200_35gb
key: entrypoints-integration-responses-api
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/openai/responses
commands:
- pytest -v -s entrypoints/openai/responses
- label: 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: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
@@ -165,29 +95,21 @@ steps:
- export VLLM_WORKER_MULTIPROC_METHOD=spawn
- pytest -v -s entrypoints/pooling
- label: Entrypoints Integration (Responses API)
timeout_in_minutes: 50
working_dir: "/vllm-workspace/tests"
source_file_dependencies:
- vllm/
- tests/entrypoints/openai/responses
commands:
- pytest -v -s entrypoints/openai/responses
- label: OpenAI API Correctness
key: openai-api-correctness
timeout_in_minutes: 20
timeout_in_minutes: 30
device: h200_18gb
source_file_dependencies:
- csrc/
- vllm/entrypoints/openai/
commands: # LMEval
- vllm/model_executor/models/whisper.py
commands: # LMEval+Transcription WER check
- pytest -s entrypoints/openai/correctness/
mirror:
amd:
device: mi325_1
depends_on:
- image-build-amd
source_file_dependencies:
- csrc/
- vllm/entrypoints/openai/
- vllm/model_executor/layers/
- vllm/v1/attention/backends/
- vllm/v1/attention/selector.py
- vllm/_aiter_ops.py
- vllm/platforms/rocm.py
- vllm/model_executor/model_loader/
commands:
- bash ../tools/install_torchcodec_rocm.sh || exit 1
- pytest -s entrypoints/openai/correctness/
+3 -17
View File
@@ -3,8 +3,7 @@ depends_on:
- image-build
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:
@@ -14,21 +13,9 @@ 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
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:
@@ -39,8 +26,7 @@ steps:
- pytest -v -s distributed/test_eplb_spec_decode.py
- 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

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