Add vLLM v0.18.1 source tree with KV transfer abort fix

third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:

  vllm/v1/core/sched/scheduler.py:
    Replace fatal assert with graceful skip when KV transfer callback
    arrives for an already-aborted request during PD disaggregated serving.

Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-05-22 00:30:38 +08:00
parent b6591950bc
commit 445e491123
4285 changed files with 1111303 additions and 1 deletions

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#!/bin/bash
# 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
# "[node0_cmds] && [node1_cmds]" or via the NUM_NODES environment variable.
#
###############################################################################
# QUOTING / COMMAND PASSING
#
# Passing commands as positional arguments ($*) is fragile when the command
# string itself contains double quotes, e.g.:
#
# bash run-amd-test.sh "export FLAGS="value" && pytest -m "not slow""
#
# The outer shell resolves the nested quotes *before* this script runs, so
# the script receives mangled input it cannot fully recover.
#
# Preferred: pass commands via the VLLM_TEST_COMMANDS environment variable:
#
# export VLLM_TEST_COMMANDS='export FLAGS="value" && pytest -m "not slow"'
# bash run-amd-test.sh
#
# Single-quoted assignment preserves all inner double quotes verbatim.
# The $* path is kept for backward compatibility but callers should migrate.
###############################################################################
set -o pipefail
# Export Python path
export PYTHONPATH=".."
###############################################################################
# Helper Functions
###############################################################################
wait_for_clean_gpus() {
local timeout=${1:-300}
local start=$SECONDS
echo "--- Waiting for clean GPU state (timeout: ${timeout}s)"
while true; do
if grep -q clean /opt/amdgpu/etc/gpu_state; then
echo "GPUs state is \"clean\""
return
fi
if (( SECONDS - start >= timeout )); then
echo "Error: GPUs did not reach clean state within ${timeout}s" >&2
exit 1
fi
sleep 3
done
}
cleanup_docker() {
# Get Docker's root directory
docker_root=$(docker info -f '{{.DockerRootDir}}')
if [ -z "$docker_root" ]; then
echo "Failed to determine Docker root directory."
exit 1
fi
echo "Docker root directory: $docker_root"
disk_usage=$(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 $threshold%. No cleanup needed."
fi
}
cleanup_network() {
local max_nodes=${NUM_NODES:-2}
for node in $(seq 0 $((max_nodes - 1))); do
if docker ps -a -q -f name="node${node}" | grep -q .; then
docker stop "node${node}" || true
fi
done
if docker network ls | grep -q docker-net; then
docker network rm docker-net || true
fi
}
is_multi_node() {
local cmds="$1"
# Primary signal: NUM_NODES environment variable set by the pipeline
if [[ "${NUM_NODES:-1}" -gt 1 ]]; then
return 0
fi
# Fallback: detect the bracket syntax structurally
# Pattern: [...] && [...] (per-node command arrays)
if [[ "$cmds" =~ \[.*\].*\&\&.*\[.*\] ]]; then
return 0
fi
return 1
}
handle_pytest_exit() {
local exit_code=$1
if [ "$exit_code" -eq 5 ]; then
echo "Pytest exit code 5 (no tests collected) - treating as success."
exit 0
fi
exit "$exit_code"
}
###############################################################################
# Pytest marker/keyword re-quoting
#
# When commands are passed through Buildkite -> shell -> $* -> bash -c,
# quotes around multi-word pytest -m/-k expressions get stripped:
# pytest -v -s -m 'not cpu_test' v1/core
# becomes:
# pytest -v -s -m not cpu_test v1/core
#
# pytest then interprets "cpu_test" as a file path, not part of the marker.
#
# This function detects unquoted expressions after -m/-k and re-quotes them
# by collecting tokens until a recognizable boundary is reached:
# - test path (contains '/')
# - test file (ends with '.py')
# - another pytest flag (--xxx or -x single-char flags)
# - command separator (&& || ; |)
# - environment variable assignment (FOO=bar)
#
# Single-word markers (e.g. -m cpu_test, -m hybrid_model) pass through
# unquoted since they have no spaces and work fine.
#
# Already-quoted expressions (containing literal single quotes) are passed
# 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).
# Use VLLM_TEST_COMMANDS to avoid the problem entirely.
###############################################################################
re_quote_pytest_markers() {
local input="$1"
local output=""
local collecting=false
local marker_buf=""
# Strip backslash-newline continuations, then flatten remaining newlines
local flat="${input//$'\\\n'/ }"
flat="${flat//$'\n'/ }"
# Disable globbing to prevent *.py etc. from expanding during read -ra
local restore_glob
restore_glob="$(shopt -p -o noglob 2>/dev/null || true)"
set -o noglob
local -a words
read -ra words <<< "$flat"
eval "$restore_glob"
for word in "${words[@]}"; do
if $collecting; then
# If the token we're about to collect already contains a literal
# single quote, the expression was already quoted upstream.
# Flush and stop collecting.
if [[ "$word" == *"'"* ]]; then
if [[ -n "$marker_buf" ]]; then
# Should not normally happen (partial buf + quote), flush raw
output+="${marker_buf} "
marker_buf=""
fi
output+="${word} "
collecting=false
continue
fi
local is_boundary=false
case "$word" in
# Line-continuation artifact
"\\")
is_boundary=true ;;
# Command separators
"&&"|"||"|";"|"|")
is_boundary=true ;;
# Long flags (--ignore, --shard-id, etc.)
--*)
is_boundary=true ;;
# Short flags (-v, -s, -x, etc.) but NOT negative marker tokens
# like "not" which don't start with "-". Also skip -k/-m which
# would start a new marker (handled below).
-[a-zA-Z])
is_boundary=true ;;
# Test path (contains /)
*/*)
is_boundary=true ;;
# Test file (ends with .py, possibly with ::method)
*.py|*.py::*)
is_boundary=true ;;
# Environment variable assignment preceding a command (FOO=bar)
*=*)
# Only treat as boundary if it looks like VAR=value, not
# pytest filter expressions like num_gpus=2 inside markers
if [[ "$word" =~ ^[A-Z_][A-Z0-9_]*= ]]; then
is_boundary=true
fi
;;
esac
if $is_boundary; then
# Strip surrounding double quotes if present (from upstream
# single-to-double conversion); without this, wrapping below
# would produce '"expr"' with literal double-quote characters.
if [[ "$marker_buf" == '"'*'"' ]]; then
marker_buf="${marker_buf#\"}"
marker_buf="${marker_buf%\"}"
fi
# Flush the collected marker expression
if [[ "$marker_buf" == *" "* || "$marker_buf" == *"("* ]]; then
output+="'${marker_buf}' "
else
output+="${marker_buf} "
fi
collecting=false
marker_buf=""
# Check if this boundary word itself starts a new -m/-k
if [[ "$word" == "-m" || "$word" == "-k" ]]; then
output+="${word} "
collecting=true
# Drop stray backslash tokens silently
elif [[ "$word" == "\\" ]]; then
:
else
output+="${word} "
fi
else
# Accumulate into marker buffer
if [[ -n "$marker_buf" ]]; then
marker_buf+=" ${word}"
else
marker_buf="${word}"
fi
fi
elif [[ "$word" == "-m" || "$word" == "-k" ]]; then
output+="${word} "
collecting=true
marker_buf=""
else
output+="${word} "
fi
done
# Flush any trailing marker expression (marker at end of command)
if $collecting && [[ -n "$marker_buf" ]]; then
# Strip surrounding double quotes (see mid-stream flush comment)
if [[ "$marker_buf" == '"'*'"' ]]; then
marker_buf="${marker_buf#\"}"
marker_buf="${marker_buf%\"}"
fi
if [[ "$marker_buf" == *" "* || "$marker_buf" == *"("* ]]; then
output+="'${marker_buf}'"
else
output+="${marker_buf}"
fi
fi
echo "${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"/"VLLM_ROCM_CUSTOM_PAGED_ATTN=0 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 \
--ignore=kernels/moe/test_triton_moe_ptpc_fp8.py"
fi
# --- Entrypoint ignores ---
if [[ $cmds == *" entrypoints/openai "* ]]; then
cmds=${cmds//" entrypoints/openai "/" entrypoints/openai \
--ignore=entrypoints/openai/test_audio.py \
--ignore=entrypoints/openai/test_shutdown.py \
--ignore=entrypoints/openai/test_completion.py \
--ignore=entrypoints/openai/test_models.py \
--ignore=entrypoints/openai/test_lora_adapters.py \
--ignore=entrypoints/openai/test_return_tokens_as_ids.py \
--ignore=entrypoints/openai/test_root_path.py \
--ignore=entrypoints/openai/test_tokenization.py \
--ignore=entrypoints/openai/test_prompt_validation.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 "$cmds"
}
###############################################################################
# Main
###############################################################################
# --- GPU initialization ---
echo "--- Confirming Clean Initial State"
wait_for_clean_gpus
echo "--- ROCm info"
rocminfo
# --- Docker housekeeping ---
cleanup_docker
echo "--- Resetting GPUs"
echo "reset" > /opt/amdgpu/etc/gpu_state
wait_for_clean_gpus
# --- Pull test image ---
echo "--- Pulling container"
image_name="rocm/vllm-ci:${BUILDKITE_COMMIT}"
container_name="rocm_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head -c 10; echo)"
docker pull "${image_name}"
remove_docker_container() {
docker rm -f "${container_name}" || docker image rm -f "${image_name}" || true
}
trap remove_docker_container EXIT
# --- Prepare commands ---
echo "--- Running container"
HF_CACHE="$(realpath ~)/huggingface"
mkdir -p "${HF_CACHE}"
HF_MOUNT="/root/.cache/huggingface"
# ---- 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="${VLLM_TEST_COMMANDS}"
echo "Commands sourced from VLLM_TEST_COMMANDS (quoting preserved)"
else
commands="$*"
if [[ -z "$commands" ]]; then
echo "Error: No test commands provided." >&2
echo "Usage:" >&2
echo " Preferred: VLLM_TEST_COMMANDS='...' bash $0" >&2
echo " Legacy: bash $0 \"commands here\"" >&2
exit 1
fi
echo "Commands sourced from positional args (legacy mode)"
echo "WARNING: Inner double-quotes in the command string may have been"
echo " stripped by the calling shell. If you see syntax errors, switch to:"
echo " export VLLM_TEST_COMMANDS='your commands here'"
echo " bash $0"
fi
echo "Raw commands: $commands"
# Fix quoting before ROCm overrides (so overrides see correct structure)
commands=$(re_quote_pytest_markers "$commands")
echo "After re-quoting: $commands"
commands=$(apply_rocm_test_overrides "$commands")
echo "Final commands: $commands"
MYPYTHONPATH=".."
# Verify GPU access
render_gid=$(getent group render | cut -d: -f3)
if [[ -z "$render_gid" ]]; then
echo "Error: 'render' group not found. This is required for GPU access." >&2
exit 1
fi
# --- RDMA device passthrough (conditional) ---
# If the host has RDMA devices, pass them through so tests like
# test_moriio_connector can access ibverbs. On hosts without RDMA
# hardware the tests will gracefully skip via _rdma_available().
RDMA_FLAGS=""
if [ -d /dev/infiniband ]; then
echo "RDMA devices detected on host, enabling passthrough"
RDMA_FLAGS="--device /dev/infiniband --cap-add=IPC_LOCK"
else
echo "No RDMA devices found on host, RDMA tests will be skipped"
fi
# --- Route: multi-node vs single-node ---
if is_multi_node "$commands"; then
echo "--- Multi-node job detected"
export DCKR_VER=$(docker --version | sed 's/Docker version \(.*\), build .*/\1/')
# Parse the bracket syntax: prefix ; [node0_cmds] && [node1_cmds]
# BASH_REMATCH[1] = prefix (everything before first bracket)
# BASH_REMATCH[2] = comma-separated node0 commands
# BASH_REMATCH[3] = comma-separated node1 commands
if [[ "$commands" =~ ^(.*)\[(.*)"] && ["(.*)\]$ ]]; then
prefix=$(echo "${BASH_REMATCH[1]}" | sed 's/;//g')
echo "PREFIX: ${prefix}"
export composite_command="(command rocm-smi || true)"
saved_IFS=$IFS
IFS=','
read -ra node0 <<< "${BASH_REMATCH[2]}"
read -ra node1 <<< "${BASH_REMATCH[3]}"
IFS=$saved_IFS
if [[ ${#node0[@]} -ne ${#node1[@]} ]]; then
echo "Warning: node0 has ${#node0[@]} commands, node1 has ${#node1[@]}. They will be paired by index."
fi
for i in "${!node0[@]}"; do
command_node_0=$(echo "${node0[i]}" | sed 's/\"//g')
command_node_1=$(echo "${node1[i]}" | sed 's/\"//g')
step_cmd="./.buildkite/scripts/run-multi-node-test.sh /vllm-workspace/tests 2 2 ${image_name} '${command_node_0}' '${command_node_1}'"
echo "COMMANDS: ${step_cmd}"
composite_command="${composite_command} && ${step_cmd}"
done
/bin/bash -c "${composite_command}"
exit_code=$?
cleanup_network
handle_pytest_exit "$exit_code"
else
echo "Multi-node job detected but failed to parse bracket command syntax."
echo "Expected format: prefix ; [node0_cmd1, node0_cmd2] && [node1_cmd1, node1_cmd2]"
echo "Got: $commands"
cleanup_network
exit 111
fi
else
echo "--- Single-node job"
echo "Render devices: $BUILDKITE_AGENT_META_DATA_RENDER_DEVICES"
docker run \
--device /dev/kfd $BUILDKITE_AGENT_META_DATA_RENDER_DEVICES \
$RDMA_FLAGS \
--network=host \
--shm-size=16gb \
--group-add "$render_gid" \
--rm \
-e HF_TOKEN \
-e AWS_ACCESS_KEY_ID \
-e AWS_SECRET_ACCESS_KEY \
-e BUILDKITE_PARALLEL_JOB \
-e BUILDKITE_PARALLEL_JOB_COUNT \
-v "${HF_CACHE}:${HF_MOUNT}" \
-e "HF_HOME=${HF_MOUNT}" \
-e "PYTHONPATH=${MYPYTHONPATH}" \
--name "${container_name}" \
"${image_name}" \
/bin/bash -c "${commands}"
exit_code=$?
handle_pytest_exit "$exit_code"
fi

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#!/bin/bash
set -euox pipefail
export VLLM_CPU_KVCACHE_SPACE=1
export VLLM_CPU_CI_ENV=1
# Reduce sub-processes for acceleration
export TORCH_COMPILE_DISABLE=1
export VLLM_ENABLE_V1_MULTIPROCESSING=0
SDE_ARCHIVE="sde-external-10.7.0-2026-02-18-lin.tar.xz"
SDE_CHECKSUM="CA3D4086DE4ACB3FAEDF9F57B541C6936B7D5E19AE2BF763B6EA933573A0A217"
wget "https://downloadmirror.intel.com/913594/${SDE_ARCHIVE}"
echo "${SDE_CHECKSUM} ${SDE_ARCHIVE}" | sha256sum --check
mkdir -p sde
tar -xvf "./${SDE_ARCHIVE}" --strip-components=1 -C ./sde/
wait_for_pid_and_check_log() {
local pid="$1"
local log_file="$2"
local exit_status
if [ -z "$pid" ] || [ -z "$log_file" ]; then
echo "Usage: wait_for_pid_and_check_log <PID> <LOG_FILE>"
return 1
fi
echo "Waiting for process $pid to finish..."
# Use the 'wait' command to pause the script until the specific PID exits.
# The 'wait' command's own exit status will be that of the waited-for process.
if wait "$pid"; then
exit_status=$?
echo "Process $pid finished with exit status $exit_status (Success)."
else
exit_status=$?
echo "Process $pid finished with exit status $exit_status (Failure)."
fi
if [ "$exit_status" -ne 0 ]; then
echo "Process exited with a non-zero status."
echo "--- Last few lines of log file: $log_file ---"
tail -n 50 "$log_file"
echo "---------------------------------------------"
return 1 # Indicate failure based on exit status
fi
echo "No errors detected in log file and process exited successfully."
return 0
}
# Test Sky Lake (AVX512F)
./sde/sde64 -skl -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 > test_0.log 2>&1 &
PID_TEST_0=$!
# Test Cascade Lake (AVX512F + VNNI)
./sde/sde64 -clx -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 > test_1.log 2>&1 &
PID_TEST_1=$!
# Test Cooper Lake (AVX512F + VNNI + BF16)
./sde/sde64 -cpx -- python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --dtype bfloat16 > test_2.log 2>&1 &
PID_TEST_2=$!
wait_for_pid_and_check_log $PID_TEST_0 test_0.log
wait_for_pid_and_check_log $PID_TEST_1 test_1.log
wait_for_pid_and_check_log $PID_TEST_2 test_2.log

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#!/bin/bash
set -euox pipefail
export VLLM_CPU_CI_ENV=0
echo "--- PP+TP"
vllm serve meta-llama/Llama-3.2-3B-Instruct -tp=2 -pp=2 &
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 [ "$failed_req" -ne 0 ]; then
echo "Some requests were failed!"
exit 1
fi
echo "--- DP+TP"
vllm serve meta-llama/Llama-3.2-3B-Instruct -tp=2 -dp=2 &
server_pid=$!
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

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#!/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
# allow to bind to different cores
CORE_RANGE=${CORE_RANGE:-0-16}
OMP_CORE_RANGE=${OMP_CORE_RANGE:-0-16}
export CMAKE_BUILD_PARALLEL_LEVEL=16
# Setup cleanup
remove_docker_container() {
set -e;
docker rm -f cpu-test || true;
}
trap remove_docker_container EXIT
remove_docker_container
# Try building the docker image
docker build --tag cpu-test --target vllm-test -f docker/Dockerfile.cpu .
# Run the image
docker run -itd --cpuset-cpus="$CORE_RANGE" --entrypoint /bin/bash -v ~/.cache/huggingface:/root/.cache/huggingface -e HF_TOKEN --env VLLM_CPU_KVCACHE_SPACE=16 --env VLLM_CPU_CI_ENV=1 -e E2E_OMP_THREADS="$OMP_CORE_RANGE" --shm-size=4g --name cpu-test cpu-test
function cpu_tests() {
set -e
docker exec cpu-test bash -c "
set -e
pip list"
# offline inference
docker exec cpu-test bash -c "
set -e
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m"
# Run model tests
docker exec cpu-test bash -c "
set -e
pytest -x -v -s tests/models/multimodal/generation/test_whisper.py -m cpu_model"
# 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/moe/test_moe.py -k test_cpu_fused_moe_basic"
# basic online serving
docker exec cpu-test bash -c '
set -e
VLLM_CPU_OMP_THREADS_BIND=$E2E_OMP_THREADS vllm serve Qwen/Qwen3-0.6B --max-model-len 2048 &
server_pid=$!
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/Qwen3-0.6B \
--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

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#!/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
# Setup cleanup
remove_docker_container() {
if [[ -n "$container_id" ]]; then
podman stop --all -t0
podman rm -f "$container_id" || true
fi
podman system prune -f
}
trap remove_docker_container EXIT
remove_docker_container
# Try building the docker image
podman build -t cpu-test-ubi9-ppc -f docker/Dockerfile.ppc64le .
# Run the image
container_id=$(podman run -itd --entrypoint /bin/bash -v /tmp/:/root/.cache/huggingface --privileged=true --network host -e HF_TOKEN cpu-test-ubi9-ppc)
function cpu_tests() {
# offline inference
podman exec -it "$container_id" bash -c "
export TORCH_COMPILE_DISABLE=1
set -xve
python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m" >> "$HOME"/test_basic.log
# Run basic model test
podman exec -it "$container_id" bash -c "
export TORCH_COMPILE_DISABLE=1
set -evx
pip install pytest pytest-asyncio einops peft Pillow soundfile transformers_stream_generator matplotlib
pip install sentence-transformers datamodel_code_generator tblib
# Note: disable Bart until supports V1
# pytest -v -s tests/models/language/generation/test_bart.py -m cpu_model
pytest -v -s tests/models/language/generation/test_common.py::test_models[False-False-5-32-openai-community/gpt2]
pytest -v -s tests/models/language/generation/test_common.py::test_models[False-False-5-32-facebook/opt-125m]
pytest -v -s tests/models/language/generation/test_common.py::test_models[False-False-5-32-google/gemma-1.1-2b-it]
pytest -v -s tests/models/language/pooling/test_classification.py::test_models[float-jason9693/Qwen2.5-1.5B-apeach]
# TODO: Below test case tests/models/language/pooling/test_embedding.py::test_models[True-ssmits/Qwen2-7B-Instruct-embed-base] fails on ppc64le. Disabling it for time being.
# pytest -v -s tests/models/language/pooling/test_embedding.py -m cpu_model" >> "$HOME"/test_rest.log
}
# All of CPU tests are expected to be finished less than 40 mins.
export container_id
export -f cpu_tests
timeout 120m bash -c cpu_tests

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#!/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
# Setup cleanup
remove_docker_container() { docker rm -f cpu-test || true; docker system prune -f; }
trap remove_docker_container EXIT
remove_docker_container
# Try building the docker image
docker build -t cpu-test -f docker/Dockerfile.s390x .

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#!/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 -euox pipefail
# allow to bind to different cores
CORE_RANGE=${CORE_RANGE:-48-95}
NUMA_NODE=${NUMA_NODE:-1}
IMAGE_NAME="cpu-test-$NUMA_NODE"
TIMEOUT_VAL=$1
TEST_COMMAND=$2
# building the docker image
echo "--- :docker: Building Docker image"
docker build --progress plain --tag "$IMAGE_NAME" --target vllm-test -f docker/Dockerfile.cpu .
# Run the image, setting --shm-size=4g for tensor parallel.
docker run --rm --cpuset-cpus="$CORE_RANGE" --cpuset-mems="$NUMA_NODE" -v ~/.cache/huggingface:/root/.cache/huggingface --privileged=true -e HF_TOKEN -e VLLM_CPU_KVCACHE_SPACE=16 -e VLLM_CPU_CI_ENV=1 -e VLLM_CPU_SIM_MULTI_NUMA=1 --shm-size=4g "$IMAGE_NAME" \
timeout "$TIMEOUT_VAL" bash -c "set -euox pipefail; echo \"--- Print packages\"; pip list; echo \"--- Running tests\"; ${TEST_COMMAND}"

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#!/bin/bash
# This script build the GH200 docker image and run the offline inference inside the container.
# It serves a sanity check for compilation and basic model usage.
set -ex
# Skip the new torch installation during build since we are using the specified version for arm64 in the Dockerfile
python3 use_existing_torch.py
# Try building the docker image
DOCKER_BUILDKIT=1 docker build . \
--file docker/Dockerfile \
--target vllm-openai \
--platform "linux/arm64" \
-t gh200-test \
--build-arg max_jobs=66 \
--build-arg nvcc_threads=2 \
--build-arg RUN_WHEEL_CHECK=false \
--build-arg torch_cuda_arch_list="9.0+PTX"
# Setup cleanup
remove_docker_container() { docker rm -f gh200-test || true; }
trap remove_docker_container EXIT
remove_docker_container
# Run the image and test offline inference
docker run -e HF_TOKEN -e VLLM_WORKER_MULTIPROC_METHOD=spawn -v /root/.cache/huggingface:/root/.cache/huggingface --name gh200-test --gpus=all --entrypoint="" gh200-test bash -c '
python3 examples/basic/offline_inference/generate.py --model meta-llama/Llama-3.2-1B
'

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#!/bin/bash
# This script builds the HPU docker image and runs the offline inference inside the container.
# It serves a sanity check for compilation and basic model usage.
#
# vllm-gaudi compatibility pinning:
# The vllm-gaudi plugin is installed on top of the vllm upstream checkout used by this CI job.
# When upstream vllm changes its API, the plugin may break before it has been updated.
# To handle this, the vllm-gaudi repository maintains a file:
# vllm/last-good-commit-for-vllm-gaudi/VLLM_COMMUNITY_COMMIT
# The first line of that file controls what version of vllm is used inside the Docker image:
# - "latest" : no checkout override; the current Buildkite CI commit is used as-is.
# - "<commit SHA>" : vllm is checked out to that specific commit before building, pinning
# the test to a known-compatible baseline.
# To unpin (resume testing against the live vllm tip), set the file content back to "latest".
set -exuo pipefail
# Fetch the vllm community commit reference from vllm-gaudi (first line only).
VLLM_COMMUNITY_COMMIT=$(curl -s \
https://raw.githubusercontent.com/vllm-project/vllm-gaudi/vllm/last-good-commit-for-vllm-gaudi/VLLM_COMMUNITY_COMMIT \
| head -1 | tr -d '\n')
echo "Using vllm community commit: ${VLLM_COMMUNITY_COMMIT}"
# Try building the docker image
image_name="hpu/upstream-vllm-ci:${BUILDKITE_COMMIT}"
container_name="hpu-upstream-vllm-ci-${BUILDKITE_COMMIT}-container"
cat <<EOF | docker build -t "${image_name}" -f - .
FROM gaudi-base-image:latest
COPY ./ /workspace/vllm
# If VLLM_COMMUNITY_COMMIT is a specific commit (not "latest"), check it out to pin vllm
# to the version known to be compatible with vllm-gaudi. When the value is "latest",
# the current checkout (the Buildkite CI commit) is used unchanged.
RUN if [ "${VLLM_COMMUNITY_COMMIT}" != "latest" ]; then \
cd /workspace/vllm && git fetch --unshallow 2>/dev/null || true && git checkout ${VLLM_COMMUNITY_COMMIT}; \
fi
WORKDIR /workspace/vllm
ENV no_proxy=localhost,127.0.0.1
ENV PT_HPU_ENABLE_LAZY_COLLECTIVES=true
RUN bash -c 'pip install -r <(sed "/^torch/d" requirements/build.txt)'
RUN VLLM_TARGET_DEVICE=empty pip install --no-build-isolation -e .
RUN pip install git+https://github.com/vllm-project/vllm-gaudi.git
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
WORKDIR /workspace/
RUN git clone https://github.com/vllm-project/vllm-gaudi.git
RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks
EOF
# Setup cleanup
# certain versions of HPU software stack have a bug that can
# override the exit code of the script, so we need to use
# separate remove_docker_containers and remove_docker_containers_and_exit
# functions, while other platforms only need one remove_docker_container
# function.
EXITCODE=1
remove_docker_containers() { docker rm -f "${container_name}" || true; }
trap 'remove_docker_containers; exit $EXITCODE;' EXIT
remove_docker_containers
echo "Running HPU plugin v1 test"
docker run --rm --runtime=habana --name="${container_name}" --network=host \
-e HABANA_VISIBLE_DEVICES=all \
-e VLLM_SKIP_WARMUP=true \
-e PT_HPU_ENABLE_LAZY_COLLECTIVES=true \
-e PT_HPU_LAZY_MODE=1 \
"${image_name}" \
/bin/bash -c '
cd vllm; timeout 120s python -u examples/basic/offline_inference/generate.py --model facebook/opt-125m
'
EXITCODE=$?
if [ $EXITCODE -eq 0 ]; then
echo "Test with basic model passed"
else
echo "Test with basic model FAILED with exit code: $EXITCODE" >&2
fi
# The trap will handle the container removal and final exit.

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#!/bin/bash
# This script build the Ascend NPU docker image and run the offline inference inside the container.
# It serves a sanity check for compilation and basic model usage.
set -ex
# Base ubuntu image with basic ascend development libraries and python installed
VLLM_ASCEND_REPO="https://github.com/vllm-project/vllm-ascend.git"
CONFIG_FILE_REMOTE_PATH="tests/e2e/vllm_interface/vllm_test.cfg"
TEST_RUN_CONFIG_FILE="vllm_test.cfg"
VLLM_ASCEND_TMP_DIR=
# Get the test run configuration file from the vllm-ascend repository
fetch_vllm_test_cfg() {
VLLM_ASCEND_TMP_DIR=$(mktemp -d)
# Ensure that the temporary directory is cleaned up when an exception occurs during configuration file retrieval
cleanup() {
rm -rf "${VLLM_ASCEND_TMP_DIR}"
}
trap cleanup EXIT
GIT_TRACE=1 git clone -v --depth 1 "${VLLM_ASCEND_REPO}" "${VLLM_ASCEND_TMP_DIR}"
if [ ! -f "${VLLM_ASCEND_TMP_DIR}/${CONFIG_FILE_REMOTE_PATH}" ]; then
echo "Error: file '${CONFIG_FILE_REMOTE_PATH}' does not exist in the warehouse" >&2
exit 1
fi
# If the file already exists locally, just overwrite it
cp "${VLLM_ASCEND_TMP_DIR}/${CONFIG_FILE_REMOTE_PATH}" "${TEST_RUN_CONFIG_FILE}"
echo "Copied ${CONFIG_FILE_REMOTE_PATH} to ${TEST_RUN_CONFIG_FILE}"
# Since the trap will be overwritten later, and when it is executed here, the task of cleaning up resources
# when the trap is abnormal has been completed, so the temporary resources are manually deleted here.
rm -rf "${VLLM_ASCEND_TMP_DIR}"
trap - EXIT
}
# Downloads test run configuration file from a remote URL.
# Loads the configuration into the current script environment.
get_config() {
if [ ! -f "${TEST_RUN_CONFIG_FILE}" ]; then
echo "Error: file '${TEST_RUN_CONFIG_FILE}' does not exist in the warehouse" >&2
exit 1
fi
# shellcheck source=/dev/null
source "${TEST_RUN_CONFIG_FILE}"
echo "Base docker image name that get from configuration: ${BASE_IMAGE_NAME}"
return 0
}
# get test running configuration.
fetch_vllm_test_cfg
# Check if the function call was successful. If not, exit the script.
if ! get_config; then
exit 1
fi
image_name="npu/vllm-ci:${BUILDKITE_COMMIT}_${EPOCHSECONDS}"
container_name="npu_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head -c 10; echo)"
# BUILDKITE_AGENT_NAME format is {hostname}-{agent_idx}-{npu_card_num}cards
agent_idx=$(echo "${BUILDKITE_AGENT_NAME}" | awk -F'-' '{print $(NF-1)}')
echo "agent_idx: ${agent_idx}"
builder_name="cachebuilder${agent_idx}"
builder_cache_dir="/mnt/docker-cache${agent_idx}"
mkdir -p "${builder_cache_dir}"
# Try building the docker image
cat <<EOF | DOCKER_BUILDKIT=1 docker build \
--add-host cache-service-vllm.nginx-pypi-cache.svc.cluster.local:"${PYPI_CACHE_HOST}" \
--builder "${builder_name}" --cache-from type=local,src="${builder_cache_dir}" \
--cache-to type=local,dest="${builder_cache_dir}",mode=max \
--progress=plain --load -t "${image_name}" -f - .
FROM ${BASE_IMAGE_NAME}
# Define environments
ENV DEBIAN_FRONTEND=noninteractive
ENV SOC_VERSION="ascend910b1"
RUN pip config set global.index-url http://cache-service-vllm.nginx-pypi-cache.svc.cluster.local:${PYPI_CACHE_PORT}/pypi/simple && \
pip config set global.trusted-host cache-service-vllm.nginx-pypi-cache.svc.cluster.local && \
apt-get update -y && \
apt-get install -y python3-pip git vim wget net-tools gcc g++ cmake libnuma-dev && \
rm -rf /var/cache/apt/* && \
rm -rf /var/lib/apt/lists/*
# 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
WORKDIR /workspace/vllm
# Install vLLM dependencies in advance. Effect: As long as common.txt remains unchanged, the docker cache layer will be valid.
COPY requirements/common.txt /workspace/vllm/requirements/common.txt
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r requirements/common.txt
COPY . .
# Install vLLM
RUN --mount=type=cache,target=/root/.cache/pip \
VLLM_TARGET_DEVICE="empty" python3 -m pip install -v -e /workspace/vllm/ --extra-index https://download.pytorch.org/whl/cpu/ && \
python3 -m pip uninstall -y triton
# Install vllm-ascend
WORKDIR /workspace
ARG VLLM_ASCEND_REPO=https://github.com/vllm-project/vllm-ascend.git
ARG VLLM_ASCEND_TAG=main
RUN git config --global url."https://gh-proxy.test.osinfra.cn/https://github.com/".insteadOf "https://github.com/" && \
git clone --depth 1 \$VLLM_ASCEND_REPO --branch \$VLLM_ASCEND_TAG /workspace/vllm-ascend
# Install vllm dependencies in advance. Effect: As long as common.txt remains unchanged, the docker cache layer will be valid.
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r /workspace/vllm-ascend/requirements.txt
RUN --mount=type=cache,target=/root/.cache/pip \
export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
source /usr/local/Ascend/nnal/atb/set_env.sh && \
export LD_LIBRARY_PATH=\$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/$(uname -i)-linux/devlib && \
python3 -m pip install -v -e /workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/
ENV VLLM_WORKER_MULTIPROC_METHOD=spawn
ENV VLLM_USE_MODELSCOPE=True
WORKDIR /workspace/vllm-ascend
CMD ["/bin/bash"]
EOF
# Setup cleanup
remove_docker_container() {
docker rm -f "${container_name}" || true;
docker image rm -f "${image_name}" || true;
docker system prune -f || true;
}
trap remove_docker_container EXIT
# Generate corresponding --device args based on BUILDKITE_AGENT_NAME
# Ascend NPU BUILDKITE_AGENT_NAME format is {hostname}-{agent_idx}-{npu_card_num}cards, and agent_idx starts from 1.
# e.g. atlas-a2-001-1-2cards means this is the 1-th agent on atlas-a2-001 host, and it has 2 NPU cards.
# returns one argument per line: --device, /dev/davinciX, ...
parse_and_gen_devices() {
local input="$1"
local index cards_num
if [[ "$input" =~ ([0-9]+)-([0-9]+)cards$ ]]; then
index="${BASH_REMATCH[1]}"
cards_num="${BASH_REMATCH[2]}"
else
echo "parse error" >&2
return 1
fi
local i=0
while (( i < cards_num )); do
local dev_idx=$(((index - 1)*cards_num + i ))
printf '%s\n' "--device"
printf '%s\n' "/dev/davinci${dev_idx}"
((i++))
done
}
mapfile -t device_args < <(parse_and_gen_devices "${BUILDKITE_AGENT_NAME}") || exit 1
# Run the image and execute the Out-Of-Tree (OOT) platform interface test case on Ascend NPU hardware.
# This test checks whether the OOT platform interface is functioning properly in conjunction with
# the hardware plugin vllm-ascend.
model_cache_dir=/mnt/modelscope${agent_idx}
mkdir -p "${model_cache_dir}"
docker run \
"${device_args[@]}" \
--device /dev/davinci_manager \
--device /dev/devmm_svm \
--device /dev/hisi_hdc \
-v /usr/local/dcmi:/usr/local/dcmi \
-v /usr/local/bin/npu-smi:/usr/local/bin/npu-smi \
-v /usr/local/Ascend/driver/lib64/:/usr/local/Ascend/driver/lib64/ \
-v /usr/local/Ascend/driver/version.info:/usr/local/Ascend/driver/version.info \
-v /etc/ascend_install.info:/etc/ascend_install.info \
-v "${model_cache_dir}":/root/.cache/modelscope \
--entrypoint="" \
--name "${container_name}" \
"${image_name}" \
bash -c '
set -e
pytest -v -s tests/e2e/vllm_interface/
'

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#!/bin/bash
set -xu
remove_docker_container() {
docker rm -f tpu-test || true;
}
trap remove_docker_container EXIT
# Remove the container that might not be cleaned up in the previous run.
remove_docker_container
# Build the docker image.
docker build -f docker/Dockerfile.tpu -t vllm-tpu .
# Set up cleanup.
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: $docker_root"
# Check disk usage of the filesystem where Docker's root directory is located
disk_usage=$(df "$docker_root" | tail -1 | awk '{print $5}' | sed 's/%//')
# Define the threshold
threshold=70
if [ "$disk_usage" -gt "$threshold" ]; then
echo "Disk usage is above $threshold%. Cleaning up Docker images and volumes..."
# Remove dangling images (those that are not tagged and not used by any container)
docker image prune -f
# Remove unused volumes / force the system prune for old images as well.
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 $threshold%. No cleanup needed."
fi
}
cleanup_docker
# For HF_TOKEN.
source /etc/environment
docker run --privileged --net host --shm-size=16G -it \
-e "HF_TOKEN=$HF_TOKEN" --name tpu-test \
vllm-tpu /bin/bash -c '
set -e # Exit immediately if a command exits with a non-zero status.
set -u # Treat unset variables as an error.
echo "--- Starting script inside Docker container ---"
# Create results directory
RESULTS_DIR=$(mktemp -d)
# If mktemp fails, set -e will cause the script to exit.
echo "Results will be stored in: $RESULTS_DIR"
# Install dependencies
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]>=0.4.11" \
&& python3 -m pip install --progress-bar off hf-transfer tblib==3.1.0
echo "--- Python dependencies installed ---"
export VLLM_XLA_CHECK_RECOMPILATION=1
export VLLM_XLA_CACHE_PATH=
echo "--- Hardware Information ---"
# tpu-info
echo "--- Starting Tests ---"
set +e
overall_script_exit_code=0
# --- Test Definitions ---
# If a test fails, this function will print logs and will not cause the main script to exit.
run_test() {
local test_num=$1
local test_name=$2
local test_command=$3
local log_file="$RESULTS_DIR/test_${test_num}.log"
local actual_exit_code
echo "--- TEST_$test_num: Running $test_name ---"
# Execute the test command.
eval "$test_command" > >(tee -a "$log_file") 2> >(tee -a "$log_file" >&2)
actual_exit_code=$?
echo "TEST_${test_num}_COMMAND_EXIT_CODE: $actual_exit_code" # This goes to main log
echo "TEST_${test_num}_COMMAND_EXIT_CODE: $actual_exit_code" >> "$log_file" # Also to per-test log
if [ "$actual_exit_code" -ne 0 ]; then
echo "TEST_$test_num ($test_name) FAILED with exit code $actual_exit_code." >&2
echo "--- Log for failed TEST_$test_num ($test_name) ---" >&2
if [ -f "$log_file" ]; then
cat "$log_file" >&2
else
echo "Log file $log_file not found for TEST_$test_num ($test_name)." >&2
fi
echo "--- End of log for TEST_$test_num ($test_name) ---" >&2
return "$actual_exit_code" # Return the failure code
else
echo "TEST_$test_num ($test_name) PASSED."
return 0 # Return success
fi
}
# Helper function to call run_test and update the overall script exit code
run_and_track_test() {
local test_num_arg="$1"
local test_name_arg="$2"
local test_command_arg="$3"
# Run the test
run_test "$test_num_arg" "$test_name_arg" "$test_command_arg"
local test_specific_exit_code=$?
# If the test failed, set the overall script exit code to 1
if [ "$test_specific_exit_code" -ne 0 ]; then
# No need for extra echo here, run_test already logged the failure.
overall_script_exit_code=1
fi
}
# --- Actual Test Execution ---
run_and_track_test 1 "test_struct_output_generate.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/entrypoints/llm/test_struct_output_generate.py -k \"not test_structured_output_with_reasoning_matrices\""
run_and_track_test 2 "test_moe_pallas.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/tpu/test_moe_pallas.py"
run_and_track_test 3 "test_lora.py" \
"VLLM_XLA_CHECK_RECOMPILATION=0 python3 -m pytest -s -v /workspace/vllm/tests/tpu/lora/test_lora.py"
run_and_track_test 4 "test_tpu_qkv_linear.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_tpu_qkv_linear.py"
run_and_track_test 5 "test_spmd_model_weight_loading.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_spmd_model_weight_loading.py"
run_and_track_test 6 "test_kv_cache_update_kernel.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_kv_cache_update_kernel.py"
run_and_track_test 7 "test_tpu_int8.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_tpu_int8.py"
# After all tests have been attempted, exit with the overall status.
if [ "$overall_script_exit_code" -ne 0 ]; then
echo "--- One or more tests FAILED. Overall script exiting with failure code 1. ---"
else
echo "--- All tests have completed and PASSED. Overall script exiting with success code 0. ---"
fi
exit "$overall_script_exit_code"
' # IMPORTANT: This is the closing single quote for the bash -c "..." command. Ensure it is present and correct.
# Capture the exit code of the docker run command
DOCKER_RUN_EXIT_CODE=$?
# The trap will run for cleanup.
# Exit the main script with the Docker run command's exit code.
if [ "$DOCKER_RUN_EXIT_CODE" -ne 0 ]; then
echo "Docker run command failed with exit code $DOCKER_RUN_EXIT_CODE."
exit "$DOCKER_RUN_EXIT_CODE"
else
echo "Docker run command completed successfully."
exit 0
fi
# TODO: This test fails because it uses RANDOM_SEED sampling
# pytest -v -s /workspace/vllm/tests/tpu/test_custom_dispatcher.py \

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#!/bin/bash
set -xu
remove_docker_container() {
docker rm -f tpu-test || true;
}
trap remove_docker_container EXIT
# Remove the container that might not be cleaned up in the previous run.
remove_docker_container
# Build the docker image.
docker build -f docker/Dockerfile.tpu -t vllm-tpu .
# Set up cleanup.
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: $docker_root"
# Check disk usage of the filesystem where Docker's root directory is located
disk_usage=$(df "$docker_root" | tail -1 | awk '{print $5}' | sed 's/%//')
# Define the threshold
threshold=70
if [ "$disk_usage" -gt "$threshold" ]; then
echo "Disk usage is above $threshold%. Cleaning up Docker images and volumes..."
# Remove dangling images (those that are not tagged and not used by any container)
docker image prune -f
# Remove unused volumes / force the system prune for old images as well.
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 $threshold%. No cleanup needed."
fi
}
cleanup_docker
# For HF_TOKEN.
source /etc/environment
docker run --privileged --net host --shm-size=16G -it \
-e "HF_TOKEN=$HF_TOKEN" --name tpu-test \
vllm-tpu /bin/bash -c '
set -e # Exit immediately if a command exits with a non-zero status.
set -u # Treat unset variables as an error.
echo "--- Starting script inside Docker container ---"
# Create results directory
RESULTS_DIR=$(mktemp -d)
# If mktemp fails, set -e will cause the script to exit.
echo "Results will be stored in: $RESULTS_DIR"
# Install dependencies
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]>=0.4.11" \
&& python3 -m pip install --progress-bar off hf-transfer tblib==3.1.0
echo "--- Python dependencies installed ---"
export VLLM_XLA_CHECK_RECOMPILATION=1
export VLLM_XLA_CACHE_PATH=
echo "--- Hardware Information ---"
# tpu-info
echo "--- Starting Tests ---"
set +e
overall_script_exit_code=0
# --- Test Definitions ---
# If a test fails, this function will print logs and will not cause the main script to exit.
run_test() {
local test_num=$1
local test_name=$2
local test_command=$3
local log_file="$RESULTS_DIR/test_${test_num}.log"
local actual_exit_code
echo "--- TEST_$test_num: Running $test_name ---"
# Execute the test command.
eval "$test_command" > >(tee -a "$log_file") 2> >(tee -a "$log_file" >&2)
actual_exit_code=$?
echo "TEST_${test_num}_COMMAND_EXIT_CODE: $actual_exit_code" # This goes to main log
echo "TEST_${test_num}_COMMAND_EXIT_CODE: $actual_exit_code" >> "$log_file" # Also to per-test log
if [ "$actual_exit_code" -ne 0 ]; then
echo "TEST_$test_num ($test_name) FAILED with exit code $actual_exit_code." >&2
echo "--- Log for failed TEST_$test_num ($test_name) ---" >&2
if [ -f "$log_file" ]; then
cat "$log_file" >&2
else
echo "Log file $log_file not found for TEST_$test_num ($test_name)." >&2
fi
echo "--- End of log for TEST_$test_num ($test_name) ---" >&2
return "$actual_exit_code" # Return the failure code
else
echo "TEST_$test_num ($test_name) PASSED."
return 0 # Return success
fi
}
# Helper function to call run_test and update the overall script exit code
run_and_track_test() {
local test_num_arg="$1"
local test_name_arg="$2"
local test_command_arg="$3"
# Run the test
run_test "$test_num_arg" "$test_name_arg" "$test_command_arg"
local test_specific_exit_code=$?
# If the test failed, set the overall script exit code to 1
if [ "$test_specific_exit_code" -ne 0 ]; then
# No need for extra echo here, run_test already logged the failure.
overall_script_exit_code=1
fi
}
# --- Actual Test Execution ---
run_and_track_test 0 "test_perf.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_perf.py"
run_and_track_test 1 "test_compilation.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/tpu/test_compilation.py"
run_and_track_test 2 "test_basic.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_basic.py"
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" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_sampler.py"
run_and_track_test 8 "test_topk_topp_sampler.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_topk_topp_sampler.py"
run_and_track_test 9 "test_multimodal.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_multimodal.py"
run_and_track_test 10 "test_pallas.py" \
"python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/test_pallas.py"
# After all tests have been attempted, exit with the overall status.
if [ "$overall_script_exit_code" -ne 0 ]; then
echo "--- One or more tests FAILED. Overall script exiting with failure code 1. ---"
else
echo "--- All tests have completed and PASSED. Overall script exiting with success code 0. ---"
fi
exit "$overall_script_exit_code"
' # IMPORTANT: This is the closing single quote for the bash -c "..." command. Ensure it is present and correct.
# Capture the exit code of the docker run command
DOCKER_RUN_EXIT_CODE=$?
# The trap will run for cleanup.
# Exit the main script with the Docker run command's exit code.
if [ "$DOCKER_RUN_EXIT_CODE" -ne 0 ]; then
echo "Docker run command failed with exit code $DOCKER_RUN_EXIT_CODE."
exit "$DOCKER_RUN_EXIT_CODE"
else
echo "Docker run command completed successfully."
exit 0
fi
# TODO: This test fails because it uses RANDOM_SEED sampling
# pytest -v -s /workspace/vllm/tests/tpu/test_custom_dispatcher.py \

View File

@@ -0,0 +1,55 @@
#!/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 "${container_name}" || true;
docker image rm -f "${image_name}" || true;
docker system prune -f || 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
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 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
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
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
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_nixl_connector.py --ignore=v1/kv_connector/unit/test_example_connector.py --ignore=v1/kv_connector/unit/test_lmcache_integration.py
pytest -v -s v1/test_serial_utils.py
'