[AMD] rocm 7.2 image release, PR test, Nightly Test (#17799)

Co-authored-by: Alan Kao <akao@amd.com>
Co-authored-by: bingxche <Bingxu.Chen@amd.com>
Co-authored-by: Michael <13900043+michaelzhang-ai@users.noreply.github.com>
This commit is contained in:
YC Tseng
2026-02-11 21:29:25 -08:00
committed by GitHub
co-authored by Alan Kao bingxche Michael
parent 93ede0db19
commit 20554a0a4f
25 changed files with 2716 additions and 153 deletions
@@ -0,0 +1,868 @@
name: Nightly Test (AMD ROCm 7.2)
on:
schedule:
- cron: '0 2 * * *'
push:
branches:
- main
paths:
- "python/sglang/version.py"
workflow_dispatch:
inputs:
job_filter:
description: 'Select which job to run (leave empty or "all" to run all jobs)'
required: false
type: choice
default: 'all'
options:
- 'all'
# MI30x ROCm 7.2 Unit Tests
- 'nightly-test-1-gpu-unit-rocm720'
# MI30x ROCm 7.2 Accuracy Tests (GSM8K / MMMU)
- 'nightly-accuracy-2-gpu-rocm720'
- 'nightly-accuracy-2-gpu-vlm-rocm720'
- 'nightly-perf-2-gpu-text-rocm720'
- 'nightly-perf-2-gpu-vlm-rocm720'
- 'nightly-accuracy-8-gpu-rocm720'
# MI30x ROCm 7.2 Accuracy + Performance Tests (combined)
- 'nightly-8-gpu-grok1-int4-rocm720'
- 'nightly-8-gpu-grok2-rocm720'
- 'nightly-8-gpu-deepseek-v31-rocm720'
- 'nightly-8-gpu-deepseek-v32-rocm720'
- 'nightly-8-gpu-deepseek-v32-mtp-rocm720'
- 'nightly-8-gpu-kimi-k2-rocm720'
# MI35x ROCm 7.2 jobs
- 'nightly-test-1-gpu-mi35x-rocm720'
- 'nightly-accuracy-8-gpu-mi35x-rocm720'
- 'nightly-8-gpu-mi35x-grok1-int4-rocm720'
- 'nightly-8-gpu-mi35x-grok2-rocm720'
- 'nightly-8-gpu-mi35x-deepseek-r1-mxfp4-rocm720'
- 'nightly-accuracy-8-gpu-mi35x-deepseek-v32-rocm720'
- 'nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp-rocm720'
- 'nightly-perf-8-gpu-mi35x-deepseek-v32-basic-rocm720'
- 'nightly-perf-8-gpu-mi35x-deepseek-v32-mtp-rocm720'
workflow_call:
inputs:
ref:
description: 'Git ref (branch, tag, or SHA) to test. If not provided, uses the default branch.'
required: false
type: string
default: ''
job_filter:
description: 'Select which job to run (leave empty or "all" to run all jobs)'
required: false
type: string
default: 'all'
concurrency:
group: nightly-test-amd-rocm720-${{ inputs.ref || github.ref }}
cancel-in-progress: ${{ github.event_name != 'workflow_call' }}
jobs:
# ============================================== MI30x ROCm 7.2 Unit Tests ==============================================
# 1-GPU Unit Tests - LoRA, debug utils, scheduler, etc. (MI30x ROCm 7.2)
nightly-test-1-gpu-unit-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-test-1-gpu-unit-rocm720')
runs-on: linux-mi325-gpu-1
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Nightly Unit Test ROCm 7.2 (1-GPU)
timeout-minutes: 60
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-1-gpu --nightly --timeout-per-file 600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# ============================================== MI30x ROCm 7.2 Accuracy Tests ==============================================
# 2-GPU Accuracy Tests - GSM8K eval (MI30x ROCm 7.2)
nightly-accuracy-2-gpu-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-accuracy-2-gpu-rocm720')
runs-on: linux-mi325-gpu-2
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Nightly Test ROCm 7.2 (2-GPU)
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd --nightly --timeout-per-file 7200 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 2-GPU VLM Accuracy Tests - Vision-Language Models MMMU evaluation (ROCm 7.2)
nightly-accuracy-2-gpu-vlm-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-accuracy-2-gpu-vlm-rocm720')
runs-on: linux-mi325-gpu-2
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Nightly Accuracy Test ROCm 7.2 (2-GPU VLM MMMU)
timeout-minutes: 180
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-2-gpu-vlm --nightly --timeout-per-file 7200 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 2-GPU Text Models Performance Tests (ROCm 7.2)
nightly-perf-2-gpu-text-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-perf-2-gpu-text-rocm720')
runs-on: linux-mi325-gpu-2
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Performance Test ROCm 7.2 (2-GPU Text Models)
timeout-minutes: 120
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e SGLANG_USE_AITER=1 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-perf-text-2-gpu --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 2-GPU VLM Performance Tests (ROCm 7.2)
nightly-perf-2-gpu-vlm-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-perf-2-gpu-vlm-rocm720')
runs-on: linux-mi325-gpu-2
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Performance Test ROCm 7.2 (2-GPU VLM Models)
timeout-minutes: 180
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e SGLANG_USE_AITER=1 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-perf-vlm-2-gpu --nightly --timeout-per-file 7200 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU Accuracy Tests - GPT-OSS, Grok1-FP8 (ROCm 7.2)
nightly-accuracy-8-gpu-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-accuracy-8-gpu-rocm720')
runs-on: linux-mi325-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
- name: Accuracy Test ROCm 7.2 (8-GPU GPT-OSS)
timeout-minutes: 180
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-gpt-oss --nightly --timeout-per-file 7200 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Accuracy Test ROCm 7.2 (8-GPU Grok1-FP8)
timeout-minutes: 60
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-grok1-fp8 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# ============================================== MI30x ROCm 7.2 Combined Accuracy + Performance Tests ==============================================
# 8-GPU Grok1-INT4 (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-grok1-int4-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-grok1-int4-rocm720')
runs-on: linux-mi325-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
- name: Accuracy Test ROCm 7.2 (8-GPU Grok1-INT4)
timeout-minutes: 60
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-grok1-int4 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test ROCm 7.2 (8-GPU Grok1-INT4)
timeout-minutes: 60
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-grok1-int4 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU Grok2 (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-grok2-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-grok2-rocm720')
runs-on: linux-mi325-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
- name: Accuracy Test ROCm 7.2 (8-GPU Grok2)
timeout-minutes: 60
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-grok2 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test ROCm 7.2 (8-GPU Grok2)
timeout-minutes: 60
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-grok2 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU DeepSeek-V3.1 (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-deepseek-v31-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-deepseek-v31-rocm720')
runs-on: linux-mi325-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
- name: Accuracy Test ROCm 7.2 (8-GPU DeepSeek-V3.1)
timeout-minutes: 120
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e SGLANG_USE_AITER=1 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-deepseek-v31 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test ROCm 7.2 (8-GPU DeepSeek-V3.1)
timeout-minutes: 300
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e SGLANG_USE_ROCM700A=1 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-deepseek-v31 --nightly --timeout-per-file 18000 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU DeepSeek-V3.2 (Basic Accuracy + Perf) ROCm 7.2
nightly-8-gpu-deepseek-v32-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-deepseek-v32-rocm720')
runs-on: linux-mi325-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
- name: Accuracy Test ROCm 7.2 (8-GPU DeepSeek-V3.2 Basic)
timeout-minutes: 120
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-deepseek-v32 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test ROCm 7.2 (8-GPU DeepSeek-V3.2 Basic)
timeout-minutes: 150
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-deepseek-v32-basic --nightly --timeout-per-file 5400 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU DeepSeek-V3.2 MTP (MTP Accuracy + Perf) ROCm 7.2
nightly-8-gpu-deepseek-v32-mtp-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-deepseek-v32-mtp-rocm720')
runs-on: linux-mi325-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
- name: Accuracy Test ROCm 7.2 (8-GPU DeepSeek-V3.2 MTP)
timeout-minutes: 120
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-deepseek-v32-mtp --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test ROCm 7.2 (8-GPU DeepSeek-V3.2 MTP)
timeout-minutes: 180
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-deepseek-v32-mtp --nightly --timeout-per-file 7200 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU Kimi-K2 (Accuracy + Speed) ROCm 7.2
nightly-8-gpu-kimi-k2-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-kimi-k2-rocm720')
runs-on: linux-mi325-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
- name: Accuracy Test ROCm 7.2 (8-GPU Kimi-K2)
timeout-minutes: 120
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-kimi-k2 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# ============================================== MI35x ROCm 7.2 Tests ==============================================
# MI35x 1-GPU ROCm 7.2 tests
nightly-test-1-gpu-mi35x-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-test-1-gpu-mi35x-rocm720')
runs-on: linux-mi35x-gpu-1
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Nightly Test MI35x ROCm 7.2 (1-GPU)
timeout-minutes: 60
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-1-gpu-mi35x --nightly --timeout-per-file 600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU Accuracy Tests - GPT-OSS (ROCm 7.2)
nightly-accuracy-8-gpu-mi35x-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-accuracy-8-gpu-mi35x-rocm720')
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
# Install tabulate for run_suite.py (missing in MI35x container)
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x ROCm 7.2 (8-GPU GPT-OSS)
timeout-minutes: 180
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-8-gpu-mi35x --nightly --timeout-per-file 7200 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU Grok1-INT4 (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-mi35x-grok1-int4-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-mi35x-grok1-int4-rocm720')
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
# Install tabulate for run_suite.py (missing in MI35x container)
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x ROCm 7.2 (8-GPU Grok1-INT4)
timeout-minutes: 60
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-mi35x-grok1-int4 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test MI35x ROCm 7.2 (8-GPU Grok1-INT4)
timeout-minutes: 60
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-mi35x-grok1-int4 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU Grok2 (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-mi35x-grok2-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-mi35x-grok2-rocm720')
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
# Install tabulate for run_suite.py (missing in MI35x container)
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x ROCm 7.2 (8-GPU Grok2)
timeout-minutes: 60
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-mi35x-grok2 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test MI35x ROCm 7.2 (8-GPU Grok2)
timeout-minutes: 60
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e RCCL_MSCCL_ENABLE=0 \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-mi35x-grok2 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-R1-MXFP4 (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-mi35x-deepseek-r1-mxfp4-rocm720')
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
# Install tabulate for run_suite.py (missing in MI35x container)
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x ROCm 7.2 (8-GPU DeepSeek-R1-MXFP4)
timeout-minutes: 180
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4 --nightly --timeout-per-file 7200 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test MI35x ROCm 7.2 (8-GPU DeepSeek-R1-MXFP4)
timeout-minutes: 300
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 registered/amd/perf/mi35x/test_deepseek_r1_mxfp4_perf_mi35x.py || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-V3.2 Accuracy Test (ROCm 7.2)
nightly-accuracy-8-gpu-mi35x-deepseek-v32-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-accuracy-8-gpu-mi35x-deepseek-v32-rocm720')
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
# Install tabulate for run_suite.py (missing in MI35x container)
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x ROCm 7.2 (8-GPU DeepSeek-V3.2)
timeout-minutes: 120
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-8-gpu-mi35x-deepseek-v32 --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-V3.2 TP+MTP Accuracy Test (ROCm 7.2)
nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp-rocm720')
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
# Install tabulate for run_suite.py (missing in MI35x container)
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x ROCm 7.2 (8-GPU DeepSeek-V3.2 TP+MTP)
timeout-minutes: 120
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-mi35x-deepseek-v32-mtp --nightly --timeout-per-file 3600 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-V3.2 Performance Test (Basic) ROCm 7.2
nightly-perf-8-gpu-mi35x-deepseek-v32-basic-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-perf-8-gpu-mi35x-deepseek-v32-basic-rocm720')
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
# Install tabulate for run_suite.py (missing in MI35x container)
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Performance Test MI35x ROCm 7.2 (8-GPU DeepSeek-V3.2 Basic)
timeout-minutes: 150
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-mi35x-deepseek-v32-basic --nightly --timeout-per-file 5400 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-V3.2 Performance Test (MTP) ROCm 7.2
nightly-perf-8-gpu-mi35x-deepseek-v32-mtp-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-perf-8-gpu-mi35x-deepseek-v32-mtp-rocm720')
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker (ROCm 7.2)
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build --skip-test-time-deps
# Install tabulate for run_suite.py (missing in MI35x container)
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Performance Test MI35x ROCm 7.2 (8-GPU DeepSeek-V3.2 MTP)
timeout-minutes: 180
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 run_suite.py --hw amd --suite nightly-perf-8-gpu-mi35x-deepseek-v32-mtp --nightly --timeout-per-file 7200 --continue-on-error || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
check-all-jobs:
if: always() && (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request' || github.event_name == 'workflow_dispatch')
needs:
# MI30x ROCm 7.2 Unit Tests
- nightly-test-1-gpu-unit-rocm720
# MI30x ROCm 7.2 Accuracy Tests
- nightly-accuracy-2-gpu-rocm720
- nightly-accuracy-2-gpu-vlm-rocm720
# MI30x ROCm 7.2 Performance Tests
- nightly-perf-2-gpu-text-rocm720
- nightly-perf-2-gpu-vlm-rocm720
- nightly-accuracy-8-gpu-rocm720
# MI30x ROCm 7.2 Combined Accuracy + Performance Tests
- nightly-8-gpu-grok1-int4-rocm720
- nightly-8-gpu-grok2-rocm720
- nightly-8-gpu-deepseek-v31-rocm720
- nightly-8-gpu-deepseek-v32-rocm720
- nightly-8-gpu-deepseek-v32-mtp-rocm720
- nightly-8-gpu-kimi-k2-rocm720
# MI35x ROCm 7.2 jobs
- nightly-test-1-gpu-mi35x-rocm720
- nightly-accuracy-8-gpu-mi35x-rocm720
- nightly-8-gpu-mi35x-grok1-int4-rocm720
- nightly-8-gpu-mi35x-grok2-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-rocm720
- nightly-accuracy-8-gpu-mi35x-deepseek-v32-rocm720
- nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp-rocm720
- nightly-perf-8-gpu-mi35x-deepseek-v32-basic-rocm720
- nightly-perf-8-gpu-mi35x-deepseek-v32-mtp-rocm720
runs-on: ubuntu-latest
steps:
- name: Check if any job failed
run: |
if [[ "${{ contains(needs.*.result, 'failure') }}" == "true" ]]; then
echo "One or more ROCm 7.2 nightly test jobs failed"
exit 1
fi
if [[ "${{ contains(needs.*.result, 'cancelled') }}" == "true" ]]; then
echo "One or more ROCm 7.2 nightly test jobs were cancelled"
exit 1
fi
echo "All ROCm 7.2 nightly test jobs passed"
+793
View File
@@ -0,0 +1,793 @@
name: PR Test ROCm 7.2 (AMD)
# Dynamic run-name for /rerun-stage commands to enable URL lookup
# Format: "[stage-name] sha" for fork PRs, "[stage-name]" for non-fork, default for normal runs
run-name: ${{ inputs.target_stage && (inputs.pr_head_sha && format('[{0}] {1}', inputs.target_stage, inputs.pr_head_sha) || format('[{0}]', inputs.target_stage)) || '' }}
on:
# run rocm 720 pr tests once a day at 2am UTC to avoid overwhelming the CI system
schedule:
- cron: '0 2 * * *'
# push:
# branches: [ main ]
# paths:
# - "python/**"
# - "scripts/ci/**"
# - "test/**"
# - "sgl-kernel/**"
# - ".github/workflows/pr-test-amd-rocm720.yml"
# - "docker/rocm720.Dockerfile"
# pull_request:
# branches: [ main ]
# paths:
# - "python/**"
# - "scripts/ci/**"
# - "test/**"
# - "sgl-kernel/**"
# - ".github/workflows/pr-test-amd-rocm720.yml"
# - "docker/rocm720.Dockerfile"
workflow_dispatch:
inputs:
target_stage:
description: "Specific stage to run (optional, for quick testing)"
required: false
type: string
default: ""
pr_head_sha:
description: "PR head SHA to checkout (for /rerun-stage on fork PRs)"
required: false
type: string
default: ""
workflow_call:
inputs:
ref:
description: 'Git ref (branch, tag, or SHA) to test. If not provided, uses the default branch.'
required: false
type: string
default: ''
run_all_tests:
description: "Run all tests (for releasing or testing purpose)"
required: false
type: boolean
default: false
concurrency:
# Include pr_head_sha in group for /rerun-stage dispatches to avoid collisions with main branch runs
group: pr-test-amd-rocm720-${{ inputs.pr_head_sha || inputs.ref || github.ref }}
cancel-in-progress: ${{ github.event_name != 'workflow_call' }}
jobs:
call-gate:
uses: ./.github/workflows/pr-gate.yml
secrets: inherit
check-changes:
needs: [call-gate]
runs-on: ubuntu-latest
outputs:
main_package: ${{ steps.filter.outputs.main_package || steps.run-mode.outputs.run_all_tests }}
sgl_kernel: ${{ steps.filter.outputs.sgl_kernel || steps.run-mode.outputs.run_all_tests }}
multimodal_gen: ${{ steps.filter.outputs.multimodal_gen || steps.run-mode.outputs.run_all_tests }}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Determine run mode
id: run-mode
run: |
# Run all tests for workflow_call (when ref input is provided)
# Note: github.event_name is inherited from caller, so we detect workflow_call by checking inputs.ref
if [[ "${{ inputs.run_all_tests }}" == "true" ]]; then
echo "run_all_tests=true" >> $GITHUB_OUTPUT
echo "Run mode: ALL TESTS (run_all_tests=${{ inputs.run_all_tests }})"
else
echo "run_all_tests=false" >> $GITHUB_OUTPUT
echo "Run mode: FILTERED (triggered by ${{ github.event_name }})"
fi
- name: Detect file changes
id: filter
uses: dorny/paths-filter@v3
if: steps.run-mode.outputs.run_all_tests != 'true'
with:
filters: |
main_package:
- "python/sglang/!(multimodal_gen)/**"
- "python/pyproject_rocm.toml"
- "python/pyproject_other.toml"
- "scripts/ci/amd/*"
- "scripts/ci/utils/*"
- "test/**"
- ".github/workflows/pr-test-amd-rocm720.yml"
sgl_kernel:
- "sgl-kernel/**"
- ".github/workflows/pr-test-amd-rocm720.yml"
multimodal_gen:
- "python/sglang/multimodal_gen/**"
- "python/sglang/cli/**"
- "python/pyproject_rocm.toml"
- "python/pyproject_other.toml"
# =============================================== sgl-kernel ====================================================
sgl-kernel-unit-test-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'sgl-kernel-unit-test-amd') ||
(
!inputs.target_stage &&
needs.check-changes.outputs.sgl_kernel == 'true'
)
)
strategy:
fail-fast: false
matrix:
runner: [linux-mi325-gpu-1]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Run test
timeout-minutes: 14
run: |
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_moe_align.py
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_moe_topk_softmax.py
docker exec -w /sglang-checkout/sgl-kernel/tests/speculative ci_sglang python3 -m pytest test_eagle_utils.py
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_apply_token_bitmask_inplace.py
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_activation.py
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_topk.py
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_kvcacheio.py
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_moe_topk_sigmoid.py
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_torch_defaults_reset.py
sgl-kernel-unit-test-2-gpu-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'sgl-kernel-unit-test-2-gpu-amd') ||
(
!inputs.target_stage &&
needs.check-changes.outputs.sgl_kernel == 'true'
)
)
strategy:
fail-fast: false
matrix:
runner: [linux-mi325-gpu-2]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Run test
timeout-minutes: 20
run: |
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_amd_deterministic_custom_allreduce.py
docker exec -w /sglang-checkout/sgl-kernel/tests ci_sglang python3 -m pytest test_amd_nccl_allreduce_determinism.py
# =============================================== primary ====================================================
stage-a-test-1-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-a-test-1-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
matrix:
runner: [linux-mi325-gpu-1]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Run test
timeout-minutes: 10
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-a-test-1-amd --continue-on-error
stage-b-test-small-1-gpu-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-small-1-gpu-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
matrix:
runner: [linux-mi325-gpu-1]
part: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Run test
timeout-minutes: 30
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-b-test-small-1-gpu-amd --auto-partition-id ${{ matrix.part }} --auto-partition-size 13 --timeout-per-file 1800 --continue-on-error
stage-b-test-small-1-gpu-amd-mi35x:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-small-1-gpu-amd-mi35x') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
matrix:
runner: [linux-mi35x-gpu-1]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Run test
timeout-minutes: 30
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-b-test-small-1-gpu-amd-mi35x --continue-on-error
stage-b-test-large-1-gpu-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-large-1-gpu-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
matrix:
runner: [linux-mi325-gpu-1]
part: [0, 1]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Run test
timeout-minutes: 30
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-b-test-large-1-gpu-amd --auto-partition-id ${{ matrix.part }} --auto-partition-size 2 --timeout-per-file 1800 --continue-on-error
stage-b-test-large-2-gpu-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-large-2-gpu-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
matrix:
runner: [linux-mi325-gpu-2]
part: [0, 1]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Run test
timeout-minutes: 30
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-b-test-large-2-gpu-amd --auto-partition-id ${{ matrix.part }} --auto-partition-size 2 --timeout-per-file 1800 --continue-on-error
multimodal-gen-test-1-gpu-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'multimodal-gen-test-1-gpu-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
max-parallel: 1 # Run one at a time to avoid eviction from resource exhaustion during AITER kernel JIT
matrix:
runner: [linux-mi325-gpu-1]
part: [0, 1] # 2 partitions: 11 tests ÷ 2 = ~5-6 tests each
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Download artifacts
if: needs.check-changes.outputs.sgl_kernel == 'true'
uses: actions/download-artifact@v4
with:
path: sgl-kernel/dist/
merge-multiple: true
pattern: wheel-python3.10-cuda12.9
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build diffusion
docker exec ci_sglang pip install amdsmi
- name: Setup kernel caches
run: |
# Use the persistent /sgl-data directory (mounted from /home/runner/sgl-data)
# This directory persists across container restarts on the self-hosted runner
docker exec ci_sglang mkdir -p /sgl-data/aiter-kernels /sgl-data/miopen-cache /sgl-data/hf-cache/hub
# Clear pre-built AITER kernels from Docker image to avoid segfaults
# The image may have stale/incompatible kernels at /sgl-workspace/aiter/aiter/jit/
echo "Clearing pre-built AITER kernels from Docker image..."
docker exec ci_sglang rm -rf /sgl-workspace/aiter/aiter/jit/*.so 2>/dev/null || true
docker exec ci_sglang rm -rf /sgl-data/aiter-kernels/*.so 2>/dev/null || true
echo "AITER kernels cleared - will be rebuilt on first use"
# Create persistent cache marker if /sgl-data is a real mount (not ephemeral)
# This tells the test cleanup code to NOT delete downloaded models
if docker exec ci_sglang test -d /sgl-data && docker exec ci_sglang mountpoint -q /sgl-data 2>/dev/null; then
docker exec ci_sglang touch /sgl-data/hf-cache/.persistent_cache
echo "Created .persistent_cache marker - HF cache will persist"
else
echo "WARNING: /sgl-data is not a mount point - models will be cleaned up after each test"
fi
# Check MIOpen cache (VAE convolution kernels)
miopen_files=$(docker exec ci_sglang find /sgl-data/miopen-cache -name "*.udb" 2>/dev/null | wc -l || echo "0")
echo "Found ${miopen_files} MIOpen cache files"
- name: Diagnose HF cache and system resources
run: |
echo "=== System Memory Status ==="
free -h
echo ""
echo "=== Disk Space ==="
df -h /home/runner/sgl-data 2>/dev/null || df -h
echo ""
echo "=== HF Cache Directory Structure ==="
docker exec ci_sglang ls -la /sgl-data/hf-cache/ 2>/dev/null || echo "HF cache dir not found"
docker exec ci_sglang ls -la /sgl-data/hf-cache/hub/ 2>/dev/null || echo "HF hub cache not found"
echo ""
echo "=== Checking for cached diffusion models (1-GPU tests) ==="
# Models used in 1-GPU tests: Wan2.1-T2V-1.3B, HunyuanVideo, Qwen-Image, FLUX.1, FLUX.2
for model in "Wan-AI--Wan2.1-T2V-1.3B-Diffusers" "tencent--HunyuanVideo" "Qwen--Qwen-Image" "black-forest-labs--FLUX.1-dev" "black-forest-labs--FLUX.2-dev"; do
cache_path="/sgl-data/hf-cache/hub/models--${model}"
if docker exec ci_sglang test -d "$cache_path"; then
size=$(docker exec ci_sglang du -sh "$cache_path" 2>/dev/null | cut -f1)
echo "✓ CACHED: $model ($size)"
else
echo "✗ NOT CACHED: $model"
fi
done
echo ""
echo "=== GPU Memory Status ==="
docker exec ci_sglang rocm-smi --showmeminfo vram 2>/dev/null || echo "rocm-smi not available"
- name: Run diffusion server tests (1-GPU)
timeout-minutes: 60
run: |
# AMD CI: All 1-GPU tests except FLUX.2 (FLUX.1 covers same code path)
# Tests: T2V, T2I, I2V, LoRA
#
# HF download env vars:
# - HF_HUB_ENABLE_HF_TRANSFER=1: Use faster hf_transfer for downloads (if available)
# - HF_HUB_DISABLE_SYMLINKS_WARNING=1: Suppress symlink warnings
docker exec \
-e SGLANG_E2E_TOLERANCE=0.3 \
-e SGLANG_STAGE_TIME_TOLERANCE=0.2 \
-e SGLANG_NON_DENOISE_STAGE_TIME_TOLERANCE=0.6 \
-e SGLANG_DENOISE_STEP_TOLERANCE=0.6 \
-e SGLANG_DENOISE_AGG_TOLERANCE=0.3 \
-e SGLANG_TEST_NUM_INFERENCE_STEPS=5 \
-e AITER_JIT_DIR=/sgl-data/aiter-kernels \
-e MIOPEN_USER_DB_PATH=/sgl-data/miopen-cache \
-e HF_HUB_ENABLE_HF_TRANSFER=1 \
-e HF_HUB_DISABLE_SYMLINKS_WARNING=1 \
-w /sglang-checkout/python \
ci_sglang python3 sglang/multimodal_gen/test/run_suite.py \
--suite 1-gpu \
--partition-id ${{ matrix.part }} \
--total-partitions 2 \
-k "not flux_2"
# Post-test diagnostics
echo "=== Post-test System Memory Status ==="
free -h
multimodal-gen-test-2-gpu-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'multimodal-gen-test-2-gpu-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
max-parallel: 1 # Run one at a time to avoid eviction from resource exhaustion during AITER kernel JIT
matrix:
runner: [linux-mi325-gpu-2]
part: [0, 1] # 2 partitions: 9 tests ÷ 2 = ~4-5 tests each
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Download artifacts
if: needs.check-changes.outputs.sgl_kernel == 'true'
uses: actions/download-artifact@v4
with:
path: sgl-kernel/dist/
merge-multiple: true
pattern: wheel-python3.10-cuda12.9
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build diffusion
docker exec ci_sglang pip install amdsmi
- name: Setup kernel caches
run: |
# Use the persistent /sgl-data directory (mounted from /home/runner/sgl-data)
docker exec ci_sglang mkdir -p /sgl-data/aiter-kernels /sgl-data/miopen-cache /sgl-data/hf-cache/hub
# Clear pre-built AITER kernels from Docker image to avoid segfaults
# The image may have stale/incompatible kernels at /sgl-workspace/aiter/aiter/jit/
echo "Clearing pre-built AITER kernels from Docker image..."
docker exec ci_sglang rm -rf /sgl-workspace/aiter/aiter/jit/*.so 2>/dev/null || true
docker exec ci_sglang rm -rf /sgl-data/aiter-kernels/*.so 2>/dev/null || true
echo "AITER kernels cleared - will be rebuilt on first use"
# Create persistent cache marker if /sgl-data is a real mount (not ephemeral)
# This tells the test cleanup code to NOT delete downloaded models
if docker exec ci_sglang test -d /sgl-data && docker exec ci_sglang mountpoint -q /sgl-data 2>/dev/null; then
docker exec ci_sglang touch /sgl-data/hf-cache/.persistent_cache
echo "Created .persistent_cache marker - HF cache will persist"
else
echo "WARNING: /sgl-data is not a mount point - models will be cleaned up after each test"
fi
# Check MIOpen cache (VAE convolution kernels)
miopen_files=$(docker exec ci_sglang find /sgl-data/miopen-cache -name "*.udb" 2>/dev/null | wc -l || echo "0")
echo "Found ${miopen_files} MIOpen cache files"
- name: Diagnose HF cache and system resources
run: |
echo "=== System Memory Status ==="
free -h
echo ""
echo "=== Disk Space ==="
df -h /home/runner/sgl-data 2>/dev/null || df -h
echo ""
echo "=== HF Cache Directory Structure ==="
docker exec ci_sglang ls -la /sgl-data/hf-cache/ 2>/dev/null || echo "HF cache dir not found"
docker exec ci_sglang ls -la /sgl-data/hf-cache/hub/ 2>/dev/null || echo "HF hub cache not found"
echo ""
echo "=== Checking for cached diffusion models (2-GPU tests) ==="
# Models used in 2-GPU tests: Wan2.2-T2V-A14B, Wan2.1-T2V-14B, Qwen-Image, FLUX.1
for model in "Wan-AI--Wan2.2-T2V-A14B-Diffusers" "Wan-AI--Wan2.1-T2V-14B-Diffusers" "Qwen--Qwen-Image" "black-forest-labs--FLUX.1-dev"; do
cache_path="/sgl-data/hf-cache/hub/models--${model}"
if docker exec ci_sglang test -d "$cache_path"; then
size=$(docker exec ci_sglang du -sh "$cache_path" 2>/dev/null | cut -f1)
echo "✓ CACHED: $model ($size)"
else
echo "✗ NOT CACHED: $model"
fi
done
echo ""
echo "=== GPU Memory Status ==="
docker exec ci_sglang rocm-smi --showmeminfo vram 2>/dev/null || echo "rocm-smi not available"
- name: Run diffusion server tests (2-GPU)
timeout-minutes: 80
run: |
# AMD CI: All 2-GPU tests including LoRA
# Tests: T2V, T2I, I2V, LoRA
#
# HF download env vars:
# - HF_HUB_ENABLE_HF_TRANSFER=1: Use faster hf_transfer for downloads (if available)
# - HF_HUB_DISABLE_SYMLINKS_WARNING=1: Suppress symlink warnings
docker exec \
-e SGLANG_E2E_TOLERANCE=0.3 \
-e SGLANG_STAGE_TIME_TOLERANCE=0.2 \
-e SGLANG_NON_DENOISE_STAGE_TIME_TOLERANCE=0.6 \
-e SGLANG_DENOISE_STEP_TOLERANCE=0.6 \
-e SGLANG_DENOISE_AGG_TOLERANCE=0.3 \
-e SGLANG_TEST_NUM_INFERENCE_STEPS=5 \
-e AITER_JIT_DIR=/sgl-data/aiter-kernels \
-e MIOPEN_USER_DB_PATH=/sgl-data/miopen-cache \
-e HF_HUB_ENABLE_HF_TRANSFER=1 \
-e HF_HUB_DISABLE_SYMLINKS_WARNING=1 \
-w /sglang-checkout/python \
ci_sglang python3 sglang/multimodal_gen/test/run_suite.py \
--suite 2-gpu \
--partition-id ${{ matrix.part }} \
--total-partitions 2
# Post-test diagnostics
echo "=== Post-test System Memory Status ==="
free -h
stage-c-test-large-8-gpu-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-c-test-large-8-gpu-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
env:
RUNNER_LABELS: linux-mi325-gpu-8
strategy:
fail-fast: false
matrix:
runner: [linux-mi325-gpu-8]
part: [0, 1, 2]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Test RCCL multi-GPU communication
timeout-minutes: 5
run: |
echo "Testing RCCL multi-GPU communication with debug info..."
docker exec ci_sglang bash -c "cd /sglang-checkout && NCCL_DEBUG=INFO RCCL_DEBUG=INFO torchrun --nproc_per_node=8 scripts/ci/amd/test_rccl_multi_gpu.py"
- name: Run test
timeout-minutes: 60
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-c-test-large-8-gpu-amd --auto-partition-id ${{ matrix.part }} --auto-partition-size 3 --timeout-per-file 3600 --continue-on-error
stage-c-test-large-8-gpu-amd-mi35x:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-c-test-large-8-gpu-amd-mi35x') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
matrix:
runner: [linux-mi35x-gpu-8]
part: [0]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Start CI container
run: bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-aiter-build
- name: Run test
timeout-minutes: 60
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-c-test-large-8-gpu-amd-mi35x --auto-partition-id ${{ matrix.part }} --auto-partition-size 1 --timeout-per-file 3600 --continue-on-error
pr-test-amd-finish:
needs:
[
call-gate,
check-changes,
sgl-kernel-unit-test-amd,
sgl-kernel-unit-test-2-gpu-amd,
multimodal-gen-test-1-gpu-amd,
multimodal-gen-test-2-gpu-amd,
stage-a-test-1-amd,
stage-b-test-small-1-gpu-amd,
stage-b-test-small-1-gpu-amd-mi35x,
stage-b-test-large-1-gpu-amd,
stage-b-test-large-2-gpu-amd,
stage-c-test-large-8-gpu-amd,
stage-c-test-large-8-gpu-amd-mi35x,
]
if: always()
runs-on: ubuntu-latest
steps:
- name: Check all dependent job statuses
run: |
# Convert the 'needs' context to a JSON string
json_needs='${{ toJson(needs) }}'
# Get a list of all job names from the JSON keys
job_names=$(echo "$json_needs" | jq -r 'keys_unsorted[]')
for job in $job_names; do
# For each job, extract its result
result=$(echo "$json_needs" | jq -r --arg j "$job" '.[$j].result')
# Print the job name and its result
echo "$job: $result"
# Check for failure or cancellation and exit if found
if [[ "$result" == "failure" || "$result" == "cancelled" ]]; then
echo "The above jobs failed."
exit 1
fi
done
# If the loop completes, all jobs were successful
echo "All jobs completed successfully"
exit 0
+20 -2
View File
@@ -396,7 +396,16 @@ jobs:
multimodal-gen-test-1-gpu-amd:
needs: [check-changes]
if: needs.check-changes.outputs.multimodal_gen == 'true'
if: |
always() &&
(
(inputs.target_stage == 'multimodal-gen-test-1-gpu-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
max-parallel: 1 # Run one at a time to avoid eviction from resource exhaustion during AITER kernel JIT
@@ -516,7 +525,16 @@ jobs:
multimodal-gen-test-2-gpu-amd:
needs: [check-changes]
if: needs.check-changes.outputs.multimodal_gen == 'true'
if: |
always() &&
(
(inputs.target_stage == 'multimodal-gen-test-2-gpu-amd') ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
)
)
strategy:
fail-fast: false
max-parallel: 1 # Run one at a time to avoid eviction from resource exhaustion during AITER kernel JIT
@@ -0,0 +1,82 @@
name: Release Docker Images ROCm 7.2.0 Nightly Preview (AMD)
on:
workflow_dispatch:
schedule:
- cron: '0 13 * * *'
concurrency:
# A PR number if a pull request and otherwise the commit hash. This cancels
# queued and in-progress runs for the same PR (presubmit) or commit
# (postsubmit). The workflow name is prepended to avoid conflicts between
# different workflows.
group: ${{ github.workflow }}-${{ github.event.number || github.sha }}
cancel-in-progress: True
jobs:
publish:
if: github.repository == 'sgl-project/sglang'
runs-on: amd-docker-scale
environment: 'prod'
strategy:
fail-fast: false
matrix:
gpu_arch: ['gfx942-rocm720', 'gfx950-rocm720']
build_type: ['all']
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0 # Required for git describe to find tags
- name: "Set Date"
run: |
echo "DATE=$(date +%Y%m%d)" >> $GITHUB_ENV
- name: Get version from latest tag
id: version
run: |
# Get the latest version tag sorted by version number (e.g., v0.5.7 -> 0.5.7)
VERSION=$(git tag -l 'v[0-9]*' --sort=-v:refname | head -1 | sed 's/^v//')
if [ -z "$VERSION" ]; then
echo "::error::Could not determine version from git tags"
exit 1
fi
# Get short commit hash of current HEAD
COMMIT_HASH=$(git rev-parse --short HEAD)
# Compose pretend version for setuptools_scm: e.g., 0.5.8.post1.dev20260211+g1a2b3c4
PRETEND_VERSION="${VERSION}.dev${{ env.DATE }}+g${COMMIT_HASH}"
echo "version=${VERSION}" >> $GITHUB_OUTPUT
echo "pretend_version=${PRETEND_VERSION}" >> $GITHUB_OUTPUT
echo "Detected version: ${VERSION}"
echo "Pretend version for pip: ${PRETEND_VERSION}"
- name: Login to Docker Hub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKERHUB_AMD_USERNAME }}
password: ${{ secrets.DOCKERHUB_AMD_TOKEN }}
- name: Build and Push
run: |
version=${{ steps.version.outputs.version }}
pretend_version=${{ steps.version.outputs.pretend_version }}
echo "Version: ${version}"
echo "Pretend version: ${pretend_version}"
if [ "${{ matrix.gpu_arch }}" = "gfx942-rocm720" ]; then
rocm_tag="rocm720-mi30x"
elif [ "${{ matrix.gpu_arch }}" = "gfx950-rocm720" ]; then
rocm_tag="rocm720-mi35x"
else
echo "Unsupported gfx arch"
exit 1
fi
tag=v${version}-${rocm_tag}
docker build . -f docker/rocm720.Dockerfile --build-arg BUILD_TYPE=${{ matrix.build_type }} --build-arg GPU_ARCH=${{ matrix.gpu_arch }} --build-arg ENABLE_MORI=1 --build-arg NIC_BACKEND=ainic --build-arg SETUPTOOLS_SCM_PRETEND_VERSION=${pretend_version} -t rocm/sgl-dev:${tag}-${{ env.DATE }}-preview --no-cache
docker push rocm/sgl-dev:${tag}-${{ env.DATE }}-preview
+502
View File
@@ -0,0 +1,502 @@
# Usage (to build SGLang ROCm docker image):
# docker build --build-arg SGL_BRANCH=v0.5.8.post1 --build-arg GPU_ARCH=gfx942 -t v0.5.8.post1-rocm700-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.8.post1 --build-arg GPU_ARCH=gfx942-rocm720 -t v0.5.8.post1-rocm720-mi30x-preview -f rocm720.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.8.post1 --build-arg GPU_ARCH=gfx950 -t v0.5.8.post1-rocm700-mi35x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.8.post1 --build-arg GPU_ARCH=gfx950-rocm720 -t v0.5.8.post1-rocm720-mi35x-preview -f rocm720.Dockerfile .
# Usage (to build SGLang ROCm + Mori docker image):
# docker build --build-arg SGL_BRANCH=v0.5.8.post1 --build-arg GPU_ARCH=gfx942 --build-arg ENABLE_MORI=1 --build-arg NIC_BACKEND=ainic -t v0.5.8.post1-rocm700-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.8.post1 --build-arg GPU_ARCH=gfx950 --build-arg ENABLE_MORI=1 --build-arg NIC_BACKEND=ainic -t v0.5.8.post1-rocm700-mi35x -f rocm.Dockerfile .
# Default base images
ARG BASE_IMAGE_942="rocm/sgl-dev:rocm7-vllm-20250904"
ARG BASE_IMAGE_942_ROCM720="rocm/pytorch:rocm7.2_ubuntu22.04_py3.10_pytorch_release_2.9.1"
ARG BASE_IMAGE_950="rocm/sgl-dev:rocm7-vllm-20250904"
ARG BASE_IMAGE_950_ROCM720="rocm/pytorch:rocm7.2_ubuntu22.04_py3.10_pytorch_release_2.9.1"
# This is necessary for scope purpose
ARG GPU_ARCH=gfx950
# ===============================
# Base image 942 with rocm700 and args
FROM $BASE_IMAGE_942 AS gfx942
ENV BUILD_VLLM="0"
ENV BUILD_TRITON="0"
ENV BUILD_LLVM="0"
ENV BUILD_AITER_ALL="1"
ENV BUILD_MOONCAKE="1"
ENV AITER_COMMIT="v0.1.10.post2"
# ===============================
# Base image 942 with rocm720 and args
FROM $BASE_IMAGE_942_ROCM720 AS gfx942-rocm720
ENV BUILD_VLLM="0"
ENV BUILD_TRITON="1"
ENV BUILD_LLVM="0"
ENV BUILD_AITER_ALL="1"
ENV BUILD_MOONCAKE="1"
ENV AITER_COMMIT="v0.1.10.post2"
# ===============================
# Base image 950 and args
FROM $BASE_IMAGE_950 AS gfx950
ENV BUILD_VLLM="0"
ENV BUILD_TRITON="0"
ENV BUILD_LLVM="0"
ENV BUILD_AITER_ALL="0"
ENV BUILD_MOONCAKE="1"
ENV AITER_COMMIT="v0.1.10.post2"
# ===============================
# Base image 950 with rocm720 and args
FROM $BASE_IMAGE_950_ROCM720 AS gfx950-rocm720
ENV BUILD_VLLM="0"
ENV BUILD_TRITON="1"
ENV BUILD_LLVM="0"
ENV BUILD_AITER_ALL="1"
ENV BUILD_MOONCAKE="1"
ENV AITER_COMMIT="v0.1.10.post2"
# ===============================
# Chosen arch and args
FROM ${GPU_ARCH}
# This is necessary for scope purpose, again
ARG GPU_ARCH=gfx950
ENV GPU_ARCH_LIST=${GPU_ARCH%-*}
ARG SGL_REPO="https://github.com/sgl-project/sglang.git"
ARG SGL_BRANCH="main"
# Version override for setuptools_scm (used in nightly builds)
ARG SETUPTOOLS_SCM_PRETEND_VERSION=""
ARG TRITON_REPO="https://github.com/triton-lang/triton.git"
ARG TRITON_COMMIT="42270451990532c67e69d753fbd026f28fcc4840"
ARG AITER_REPO="https://github.com/ROCm/aiter.git"
ARG LLVM_REPO="https://github.com/jrbyrnes/llvm-project.git"
ARG LLVM_BRANCH="MainOpSelV2"
ARG LLVM_COMMIT="6520ace8227ffe2728148d5f3b9872a870b0a560"
ARG MOONCAKE_REPO="https://github.com/kvcache-ai/Mooncake.git"
ARG MOONCAKE_COMMIT="b6a841dc78c707ec655a563453277d969fb8f38d"
ARG TILELANG_REPO="https://github.com/tile-ai/tilelang.git"
ARG TILELANG_COMMIT="ebf4a7cb8881432165ae8760e99d209d905c704a"
ARG FHT_REPO="https://github.com/jeffdaily/fast-hadamard-transform.git"
ARG FHT_BRANCH="rocm"
ARG FHT_COMMIT="46efb7d776d38638fc39f3c803eaee3dd7016bd1"
ARG ENABLE_MORI=0
ARG NIC_BACKEND=none
ARG MORI_REPO="https://github.com/ROCm/mori.git"
ARG MORI_COMMIT="b0dce4beebeb1f26c784eee17d5fd9785ee9447f"
# AMD AINIC apt repo settings
ARG AINIC_VERSION=1.117.5
ARG UBUNTU_CODENAME=jammy
USER root
# Install some basic utilities
RUN python -m pip install --upgrade pip && pip install setuptools_scm
RUN apt-get purge -y sccache; python -m pip uninstall -y sccache; rm -f "$(which sccache)"
WORKDIR /sgl-workspace
# -----------------------
# llvm
RUN if [ "$BUILD_LLVM" = "1" ]; then \
ENV HIP_CLANG_PATH="/sgl-workspace/llvm-project/build/bin/" \
git clone --single-branch ${LLVM_REPO} -b ${LLVM_BRANCH} \
&& cd llvm-project \
&& git checkout ${LLVM_COMMIT} \
&& mkdir build \
&& cd build \
&& cmake -DCMAKE_BUILD_TYPE=Release -DLLVM_ENABLE_ASSERTIONS=1 -DLLVM_TARGETS_TO_BUILD="AMDGPU;X86" -DLLVM_ENABLE_PROJECTS="clang;lld;" -DLLVM_ENABLE_RUNTIMES="compiler-rt" ../llvm \
&& make -j$(nproc); \
fi
# -----------------------
# AITER
# Unset setuptools_scm override so AITER gets its own version (AITER_COMMIT), not SGLang's
# (SETUPTOOLS_SCM_PRETEND_VERSION is set later for SGLang nightly builds and would otherwise
# leak into AITER's version when AITER uses setuptools_scm)
ENV SETUPTOOLS_SCM_PRETEND_VERSION=
RUN pip uninstall -y aiter \
&& pip install psutil pybind11 # Required by AITER setup.py
RUN git clone ${AITER_REPO} \
&& cd aiter \
&& git checkout ${AITER_COMMIT} \
&& git submodule update --init --recursive
# Hot patches for AITER in v0.1.10.post1
# This is for ROCm 7.2 only, because of the image rebase from vllm
# to rocm/pytorch.
RUN set -eux; \
case "${GPU_ARCH}" in \
*rocm720*) \
echo "ROCm 7.2 flavor detected from GPU_ARCH=${GPU_ARCH}"; \
cd aiter \
&& sed -i '459 s/if.*:/if False:/' aiter/ops/triton/attention/pa_mqa_logits.py; \
;; \
*) \
echo "Not rocm720 (GPU_ARCH=${GPU_ARCH}), skip patch"; \
;; \
esac
RUN cd aiter \
&& echo "[AITER] GPU_ARCH=${GPU_ARCH}" \
&& if [ "$BUILD_AITER_ALL" = "1" ] && [ "$BUILD_LLVM" = "1" ]; then \
sh -c "HIP_CLANG_PATH=/sgl-workspace/llvm-project/build/bin/ PREBUILD_KERNELS=1 GPU_ARCHS=$GPU_ARCH_LIST python setup.py develop"; \
elif [ "$BUILD_AITER_ALL" = "1" ]; then \
sh -c "PREBUILD_KERNELS=1 GPU_ARCHS=$GPU_ARCH_LIST python setup.py develop"; \
else \
sh -c "GPU_ARCHS=$GPU_ARCH_LIST python setup.py develop"; \
fi
# -----------------------
# Build vLLM
ARG VLLM_REPO="https://github.com/ROCm/vllm.git"
ARG VLLM_BRANCH="9f6b92db47c3444b7a7d67451ba0c3a2d6af4c2c"
RUN if [ "$BUILD_VLLM" = "1" ]; then \
git clone ${VLLM_REPO} \
&& cd vllm \
&& git checkout ${VLLM_BRANCH} \
&& python -m pip install -r requirements/rocm.txt \
&& python setup.py clean --all \
&& python setup.py develop; \
fi
# -----------------------
# Build Mooncake
ENV PATH=$PATH:/usr/local/go/bin
RUN if [ "$BUILD_MOONCAKE" = "1" ]; then \
apt update && apt install -y zip unzip wget && \
apt install -y gcc make libtool autoconf librdmacm-dev rdmacm-utils infiniband-diags ibverbs-utils perftest ethtool libibverbs-dev rdma-core && \
apt install -y openssh-server openmpi-bin openmpi-common libopenmpi-dev && \
git clone ${MOONCAKE_REPO} && \
cd Mooncake && \
git checkout ${MOONCAKE_COMMIT} && \
git submodule update --init --recursive && \
bash dependencies.sh -y && \
rm -rf /usr/local/go && \
wget https://go.dev/dl/go1.22.2.linux-amd64.tar.gz && \
tar -C /usr/local -xzf go1.22.2.linux-amd64.tar.gz && \
rm go1.22.2.linux-amd64.tar.gz && \
mkdir -p build && \
cd build && \
cmake .. -DUSE_HIP=ON -DUSE_ETCD=ON && \
make -j "$(nproc)" && make install; \
fi
# -----------------------
# Build SGLang
ARG BUILD_TYPE=all
# Set version for setuptools_scm if provided (for nightly builds). Only pass in the SGLang
# pip install RUN so it does not affect AITER, sgl-model-gateway, TileLang, FHT, MORI, etc.
ARG SETUPTOOLS_SCM_PRETEND_VERSION
RUN pip install IPython \
&& pip install orjson \
&& pip install python-multipart \
&& pip install torchao==0.9.0 \
&& pip install pybind11
RUN pip uninstall -y sgl_kernel sglang
RUN git clone ${SGL_REPO} \
&& cd sglang \
&& echo "Using ${SGL_BRANCH} branch." \
&& git checkout ${SGL_BRANCH} \
&& cd sgl-kernel \
&& rm -f pyproject.toml \
&& mv pyproject_rocm.toml pyproject.toml \
&& AMDGPU_TARGET=$GPU_ARCH_LIST python setup_rocm.py install \
&& cd .. \
&& rm -rf python/pyproject.toml && mv python/pyproject_other.toml python/pyproject.toml \
&& if [ "$BUILD_TYPE" = "srt" ]; then \
export SETUPTOOLS_SCM_PRETEND_VERSION="${SETUPTOOLS_SCM_PRETEND_VERSION}" && python -m pip --no-cache-dir install -e "python[srt_hip,diffusion_hip]"; \
else \
export SETUPTOOLS_SCM_PRETEND_VERSION="${SETUPTOOLS_SCM_PRETEND_VERSION}" && python -m pip --no-cache-dir install -e "python[all_hip]"; \
fi
RUN python -m pip cache purge
# Copy config files to support MI300X in virtualized environments (MI300X_VF). Symlinks will not be created in image build.
RUN find /sgl-workspace/sglang/python/sglang/srt/layers/quantization/configs/ \
/sgl-workspace/sglang/python/sglang/srt/layers/moe/fused_moe_triton/configs/ \
-type f -name '*MI300X*' | xargs -I {} sh -c 'vf_config=$(echo "$1" | sed "s/MI300X/MI300X_VF/"); cp "$1" "$vf_config"' -- {}
# Install Rust toolchain for sgl-model-gateway
ENV PATH="/root/.cargo/bin:${PATH}"
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y \
&& rustc --version && cargo --version
ENV CARGO_BUILD_JOBS=4
# Build and install sgl-model-gateway
RUN python3 -m pip install --no-cache-dir setuptools-rust \
&& cd /sgl-workspace/sglang/sgl-model-gateway/bindings/python \
&& /bin/bash -lc 'ulimit -n 8192 && cargo build --release' \
&& python3 -m pip install --no-cache-dir . \
&& rm -rf /root/.cache
# -----------------------
# TileLang
ENV DEBIAN_FRONTEND=noninteractive
ENV LIBGL_ALWAYS_INDIRECT=1
RUN echo "LC_ALL=en_US.UTF-8" >> /etc/environment
RUN /bin/bash -lc 'set -euo pipefail; \
echo "[TileLang] Building TileLang for ${GPU_ARCH}"; \
# System dependencies (NO llvm-dev to avoid llvm-config-16 shadowing)
apt-get update && apt-get install -y --no-install-recommends \
build-essential git wget curl ca-certificates gnupg \
libgtest-dev libgmock-dev \
libprotobuf-dev protobuf-compiler libgflags-dev libsqlite3-dev \
python3 python3-dev python3-setuptools python3-pip python3-apt \
gcc libtinfo-dev zlib1g-dev libedit-dev libxml2-dev \
cmake ninja-build pkg-config libstdc++6 software-properties-common \
&& rm -rf /var/lib/apt/lists/*; \
\
# Prefer the container venv
VENV_PY="/opt/venv/bin/python"; \
VENV_PIP="/opt/venv/bin/pip"; \
if [ ! -x "$VENV_PY" ]; then VENV_PY="python3"; fi; \
if [ ! -x "$VENV_PIP" ]; then VENV_PIP="pip3"; fi; \
\
# Build GoogleTest static libs (Ubuntu package ships sources only)
cmake -S /usr/src/googletest -B /tmp/build-gtest -DBUILD_GTEST=ON -DBUILD_GMOCK=ON -DCMAKE_BUILD_TYPE=Release && \
cmake --build /tmp/build-gtest -j"$(nproc)" && \
cp -v /tmp/build-gtest/lib/*.a /usr/lib/x86_64-linux-gnu/ && \
rm -rf /tmp/build-gtest; \
\
# Keep setuptools < 80 (compat with base image)
"$VENV_PIP" install --upgrade "setuptools>=77.0.3,<80" wheel cmake ninja scikit-build-core && \
"$VENV_PIP" cache purge || true; \
\
# Locate ROCm llvm-config; fallback to installing LLVM 18 if missing
LLVM_CONFIG_PATH=""; \
for p in /opt/rocm/llvm/bin/llvm-config /opt/rocm/llvm-*/bin/llvm-config /opt/rocm-*/llvm*/bin/llvm-config; do \
if [ -x "$p" ]; then LLVM_CONFIG_PATH="$p"; break; fi; \
done; \
if [ -z "$LLVM_CONFIG_PATH" ]; then \
echo "[TileLang] ROCm llvm-config not found; installing LLVM 18..."; \
curl -fsSL https://apt.llvm.org/llvm-snapshot.gpg.key | gpg --dearmor -o /etc/apt/keyrings/llvm.gpg; \
echo "deb [signed-by=/etc/apt/keyrings/llvm.gpg] http://apt.llvm.org/jammy/ llvm-toolchain-jammy-18 main" > /etc/apt/sources.list.d/llvm.list; \
apt-get update; \
apt-get install -y --no-install-recommends llvm-18; \
rm -rf /var/lib/apt/lists/*; \
LLVM_CONFIG_PATH="$(command -v llvm-config-18)"; \
if [ -z "$LLVM_CONFIG_PATH" ]; then echo "ERROR: llvm-config-18 not found after install"; exit 1; fi; \
fi; \
echo "[TileLang] Using LLVM_CONFIG at: $LLVM_CONFIG_PATH"; \
export PATH="$(dirname "$LLVM_CONFIG_PATH"):/usr/local/bin:${PATH}"; \
export LLVM_CONFIG="$LLVM_CONFIG_PATH"; \
\
# Optional shim for tools that expect llvm-config-16
mkdir -p /usr/local/bin && \
printf "#!/usr/bin/env bash\nexec \"%s\" \"\$@\"\n" "$LLVM_CONFIG_PATH" > /usr/local/bin/llvm-config-16 && \
chmod +x /usr/local/bin/llvm-config-16; \
\
# TVM Python bits need Cython + z3 before configure.
# Pin z3-solver==4.15.4.0: 4.15.4.0 has a manylinux wheel; 4.15.5.0 has no wheel and builds from source (fails: C++20 <format> needs GCC 14+, image has GCC 11).
"$VENV_PIP" install --no-cache-dir "cython>=0.29.36,<3.0" "apache-tvm-ffi>=0.1.6" "z3-solver==4.15.4.0"; \
\
# Clone + pin TileLang (bundled TVM), then build
git clone --recursive "${TILELANG_REPO}" /opt/tilelang && \
cd /opt/tilelang && \
git fetch --depth=1 origin "${TILELANG_COMMIT}" || true && \
git checkout -f "${TILELANG_COMMIT}" && \
git submodule update --init --recursive && \
export CMAKE_ARGS="-DUSE_CUDA=OFF -DUSE_ROCM=ON -DROCM_PATH=/opt/rocm -DLLVM_CONFIG=${LLVM_CONFIG} -DSKBUILD_SABI_VERSION= ${CMAKE_ARGS:-}" && \
"$VENV_PIP" install -e . -v --no-build-isolation --no-deps; \
if [ -f pyproject.toml ]; then sed -i "/^[[:space:]]*\"torch/d" pyproject.toml || true; fi; \
"$VENV_PIP" cache purge || true; \
"$VENV_PY" -c "import tilelang; print(tilelang.__version__)"'
# -----------------------
# Hadamard-transform (HIP build)
RUN /bin/bash -lc 'set -euo pipefail; \
git clone --branch "${FHT_BRANCH}" "${FHT_REPO}" fast-hadamard-transform; \
cd fast-hadamard-transform; \
git checkout -f "${FHT_COMMIT}"; \
python setup.py install'
# -----------------------
# Python tools
RUN python3 -m pip install --no-cache-dir \
py-spy \
pre-commit \
tabulate
# -----------------------
# MORI (optional)
ENV PYTORCH_ROCM_ARCH=gfx942;gfx950
RUN /bin/bash -lc 'set -euo pipefail; \
if [ "${ENABLE_MORI}" != "1" ]; then \
echo "[MORI] Skipping (ENABLE_MORI=${ENABLE_MORI})"; \
exit 0; \
fi; \
echo "[MORI] Enabling MORI (NIC_BACKEND=${NIC_BACKEND})"; \
\
# Base deps for MORI build
apt-get update && apt-get install -y --no-install-recommends \
build-essential \
g++ \
jq \
libopenmpi-dev \
libpci-dev \
initramfs-tools \
&& rm -rf /var/lib/apt/lists/*; \
\
# NIC backend deps
case "${NIC_BACKEND}" in \
# default: mlx5
none) \
export USE_IONIC="OFF"; \
export USE_BNXT="OFF"; \
;; \
# AMD NIC
ainic) \
export USE_IONIC="ON"; \
export USE_BNXT="OFF"; \
apt-get update && apt-get install -y --no-install-recommends ca-certificates curl gnupg apt-transport-https && \
rm -rf /var/lib/apt/lists/* && mkdir -p /etc/apt/keyrings; \
curl -fsSL https://repo.radeon.com/rocm/rocm.gpg.key | gpg --dearmor > /etc/apt/keyrings/amdainic.gpg; \
echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/amdainic.gpg] https://repo.radeon.com/amdainic/pensando/ubuntu/${AINIC_VERSION} ${UBUNTU_CODENAME} main" \
> /etc/apt/sources.list.d/amdainic.list; \
apt-get update && apt-get install -y --no-install-recommends \
libionic-dev \
ionic-common \
; \
rm -rf /var/lib/apt/lists/*; \
;; \
# TODO: Add Broadcom bnxt packages/repos here later.
# bnxt) \
# export USE_IONIC="OFF"; \
# export USE_BNXT="ON"; \
# echo "[MORI] NIC_BACKEND=bnxt: USE_BNXT=ON. Add Broadcom bnxt packages/repos here later."; \
# ;; \
*) \
echo "ERROR: unknown NIC_BACKEND=${NIC_BACKEND}. Use one of: none, ainic"; \
exit 2; \
;; \
esac; \
\
# Build/install MORI
export MORI_GPU_ARCHS="${GPU_ARCH_LIST}"; \
echo "[MORI] MORI_GPU_ARCHS=${MORI_GPU_ARCHS} USE_IONIC=${USE_IONIC} USE_BNXT=${USE_BNXT}"; \
rm -rf /sgl-workspace/mori; \
git clone "${MORI_REPO}" /sgl-workspace/mori; \
cd /sgl-workspace/mori; \
git checkout "${MORI_COMMIT}"; \
git submodule update --init --recursive; \
python3 setup.py develop; \
python3 -c "import os, torch; print(os.path.join(os.path.dirname(torch.__file__), \"lib\"))" > /etc/ld.so.conf.d/torch.conf; \
ldconfig; \
echo "export PYTHONPATH=/sgl-workspace/mori:\${PYTHONPATH}" >> /etc/bash.bashrc; \
echo "[MORI] Done."'
# -----------------------
# Hot patch: torch-ROCm
# The artifact hardcoded the supported triton version to be 3.5.1.
# Rewrite the restriction directly.
ARG TORCH_ROCM_FILE="torch-2.9.1+rocm7.2.0.lw.git7e1940d4-cp310-cp310-linux_x86_64.whl"
RUN mkdir /tmp/whl && cd /tmp/whl \
&& export TORCH_ROCM_FILE="${TORCH_ROCM_FILE}" \
&& python - <<'PY'
import zipfile, csv, os, re
from pathlib import Path
fname = os.environ["TORCH_ROCM_FILE"]
in_whl = Path("/") / fname
out_whl = Path("/tmp")/ fname
work = Path("/tmp/whl")
# 1) Extract
with zipfile.ZipFile(in_whl, "r") as z:
z.extractall(work)
# 2) Locate dist-info and patch METADATA (edit this logic to match your exact line)
dist_info = next(work.glob("*.dist-info"))
meta = dist_info / "METADATA"
txt = meta.read_text(encoding="utf-8")
# Example: replace one exact requirement form.
# Adjust the string to match what you actually see.
pat = r'^Requires-Dist:\s*triton==3.5.1[^\s]*;'
txt2, n = re.subn(pat, r'triton>=3.5.1;', txt, flags=re.MULTILINE)
if txt2 == txt:
raise SystemExit("Did not find expected Requires-Dist line to replace in METADATA")
meta.write_text(txt2, encoding="utf-8")
# 3) Hacky step: blank hash/size columns in RECORD
record = dist_info / "RECORD"
rows = []
with record.open(newline="", encoding="utf-8") as f:
for r in csv.reader(f):
if not r:
continue
# keep filename, blank out hash and size
rows.append([r[0], "", ""])
with record.open("w", newline="", encoding="utf-8") as f:
csv.writer(f).writerows(rows)
# 4) Re-zip as a wheel
with zipfile.ZipFile(out_whl, "w", compression=zipfile.ZIP_DEFLATED) as z:
for p in work.rglob("*"):
if p.is_file():
z.write(p, p.relative_to(work).as_posix())
print("Wrote", out_whl)
PY
RUN python3 -m pip install --force --no-deps /tmp/${TORCH_ROCM_FILE} \
&& rm -fr /tmp/whl /tmp/${TORCH_ROCM_FILE}
# -----------------------
# Hot patch: Triton
# For ROCm 7.2, this custom build breaks pip dependency management,
# so future `pip install` will break the ROCm stack.
# A workaround for this is to reinstall the default triton
# wheel with the `rocm/pytorch` image in the root directory.
RUN if [ "$BUILD_TRITON" = "1" ]; then \
pip uninstall -y triton \
&& apt install -y cmake \
&& git clone ${TRITON_REPO} triton-custom \
&& cd triton-custom \
&& git checkout ${TRITON_COMMIT} \
&& pip install -r python/requirements.txt \
&& pip install -e .; \
fi
# -----------------------
# Performance environment variable.
# Skip CuDNN compatibility check - not applicable for ROCm (uses MIOpen instead)
ENV SGLANG_DISABLE_CUDNN_CHECK=1
ENV HIP_FORCE_DEV_KERNARG=1
ENV HSA_NO_SCRATCH_RECLAIM=1
ENV SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1
ENV SGLANG_INT4_WEIGHT=0
ENV SGLANG_MOE_PADDING=1
ENV SGLANG_ROCM_DISABLE_LINEARQUANT=0
ENV SGLANG_ROCM_FUSED_DECODE_MLA=1
ENV SGLANG_SET_CPU_AFFINITY=1
ENV SGLANG_USE_AITER=1
ENV SGLANG_USE_ROCM700A=1
ENV NCCL_MIN_NCHANNELS=112
ENV VLLM_FP8_PADDING=1
ENV VLLM_FP8_ACT_PADDING=1
ENV VLLM_FP8_WEIGHT_PADDING=1
ENV VLLM_FP8_REDUCE_CONV=1
ENV TORCHINDUCTOR_MAX_AUTOTUNE=1
ENV TORCHINDUCTOR_MAX_AUTOTUNE_POINTWISE=1
CMD ["/bin/bash"]
+14 -1
View File
@@ -65,11 +65,20 @@ if _is_cuda or _is_xpu:
gemma_rmsnorm,
rmsnorm,
)
_has_vllm_rms_norm = False
if _use_aiter:
from aiter import rmsnorm2d_fwd as rms_norm
from aiter import rmsnorm2d_fwd_with_add as fused_add_rms_norm
_has_vllm_rms_norm = True # aiter provides the rms_norm functions
elif _is_hip:
from vllm._custom_ops import fused_add_rms_norm, rms_norm
try:
from vllm._custom_ops import fused_add_rms_norm, rms_norm
_has_vllm_rms_norm = True
except ImportError:
# Fallback: vllm not available, will use forward_native
_has_vllm_rms_norm = False
logger = logging.getLogger(__name__)
@@ -182,6 +191,10 @@ class RMSNorm(MultiPlatformOp):
residual: Optional[torch.Tensor] = None,
post_residual_addition: Optional[torch.Tensor] = None,
) -> Union[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]:
# Fallback to native implementation if vllm is not available
if not _has_vllm_rms_norm:
return self.forward_native(x, residual, post_residual_addition)
if not x.is_contiguous():
# NOTE: Remove this if aiter kernel supports discontinuous input
x = x.contiguous()
@@ -57,11 +57,22 @@ elif _is_hip:
from aiter import moe_sum
except ImportError:
raise ImportError("aiter is required when SGLANG_USE_AITER is set to True")
else:
from vllm import _custom_ops as vllm_ops
# Note: vllm_ops is not needed for HIP when _use_aiter=False
# because the code uses moe_sum_reduce_triton as fallback (line 619)
elif _is_xpu:
from sgl_kernel import moe_sum_reduce, silu_and_mul
# Try to import vllm_ops for non-CUDA/HIP/XPU platforms
_has_vllm_ops = False
if not _is_cuda and not _is_hip and not _is_xpu:
try:
from vllm import _custom_ops as vllm_ops
_has_vllm_ops = True
except ImportError:
# Fallback: vllm not available, will use native PyTorch implementations
_has_vllm_ops = False
padding_size = 128 if bool(int(os.getenv("SGLANG_MOE_PADDING", "0"))) else 0
@@ -513,9 +524,15 @@ def fused_experts_impl(
activation,
)
else:
vllm_ops.silu_and_mul(
intermediate_cache2, intermediate_cache1.view(-1, N)
)
if _has_vllm_ops:
vllm_ops.silu_and_mul(
intermediate_cache2, intermediate_cache1.view(-1, N)
)
else:
# Fallback: native PyTorch silu_and_mul
x = intermediate_cache1.view(-1, N)
d = x.shape[-1] // 2
intermediate_cache2.copy_(F.silu(x[..., :d]) * x[..., d:])
elif activation == "gelu" and is_gated:
assert gemm1_alpha is None, "gemm1_alpha is not supported for gelu"
assert gemm1_limit is None, "gemm1_limit is not supported for gelu"
@@ -533,9 +550,15 @@ def fused_experts_impl(
activation,
)
else:
vllm_ops.gelu_and_mul(
intermediate_cache2, intermediate_cache1.view(-1, N)
)
if _has_vllm_ops:
vllm_ops.gelu_and_mul(
intermediate_cache2, intermediate_cache1.view(-1, N)
)
else:
# Fallback: native PyTorch gelu_and_mul
x = intermediate_cache1.view(-1, N)
d = x.shape[-1] // 2
intermediate_cache2.copy_(F.gelu(x[..., :d]) * x[..., d:])
# Activation function without multiplication
elif activation == "silu" and not is_gated:
intermediate_cache2 = F.silu(intermediate_cache1.view(-1, N))
@@ -634,10 +657,18 @@ def fused_experts_impl(
routed_scaling_factor,
)
else:
vllm_ops.moe_sum(
intermediate_cache3.view(*intermediate_cache3.shape),
out_hidden_states[begin_chunk_idx:end_chunk_idx],
)
if _has_vllm_ops:
vllm_ops.moe_sum(
intermediate_cache3.view(*intermediate_cache3.shape),
out_hidden_states[begin_chunk_idx:end_chunk_idx],
)
else:
# Fallback: use triton moe_sum_reduce when vllm is not available
moe_sum_reduce_triton(
intermediate_cache3.view(*intermediate_cache3.shape),
out_hidden_states[begin_chunk_idx:end_chunk_idx],
routed_scaling_factor,
)
return out_hidden_states
@@ -41,6 +41,7 @@ if _is_cuda or _is_hip:
from sgl_kernel import gelu_and_mul, silu_and_mul
if _is_hip:
_has_vllm = False
if _use_aiter:
try:
from aiter import moe_sum
@@ -49,7 +50,13 @@ if _is_cuda or _is_hip:
"aiter is required when SGLANG_USE_AITER is set to True"
)
else:
from vllm import _custom_ops as vllm_ops # moe_sum
try:
from vllm import _custom_ops as vllm_ops # moe_sum
_has_vllm = True
except ImportError:
# Fallback: vllm not available, will use triton moe_sum
_has_vllm = False
elif _is_cpu and _is_cpu_amx_available:
pass
elif _is_xpu:
@@ -314,11 +321,18 @@ class TritonRunnerCore(MoeRunnerCore):
intermediate_cache3.view(*intermediate_cache3.shape),
out_hidden_states,
)
else:
elif _has_vllm:
vllm_ops.moe_sum(
intermediate_cache3.view(*intermediate_cache3.shape),
out_hidden_states,
)
else:
# Fallback: use triton moe_sum when vllm is not available
moe_sum_reduce_triton(
intermediate_cache3.view(*intermediate_cache3.shape),
out_hidden_states,
routed_scaling_factor,
)
elif _is_xpu:
moe_sum_reduce(
intermediate_cache3.view(*intermediate_cache3.shape),
@@ -64,6 +64,7 @@ if _is_cuda:
enable_sgl_per_token_group_quant_8bit = False
if _is_hip:
_has_vllm = False
if _use_aiter:
try:
from aiter import ( # v0.1.3
@@ -76,8 +77,11 @@ if _is_hip:
else:
try:
import vllm._C # noqa: F401
_has_vllm = True
except ImportError:
raise ImportError("vllm is required when SGLANG_USE_AITER is set to False")
# Fallback: vllm not available, will use native PyTorch implementation
_has_vllm = False
logger = logging.getLogger(__name__)
@@ -1537,6 +1541,37 @@ Raises:
"""
if _is_hip:
def _native_dynamic_per_token_quant_fp8(output, input, scale):
"""Native PyTorch fallback for dynamic per-token FP8 quantization when vLLM is unavailable."""
M, N = input.shape
eps = 1e-12
# Compute per-token scale
absmax = input.abs().max(dim=1, keepdim=True).values
absmax = torch.clamp(absmax, min=eps)
scale_val = absmax / fp8_max
scale.copy_(scale_val)
# Quantize
output_data = torch.clamp(input / scale_val, fp8_min, fp8_max).to(fp8_dtype)
output.copy_(output_data)
def _native_dynamic_per_tensor_quant_fp8(output, input, scale):
"""Native PyTorch fallback for dynamic per-tensor FP8 quantization when vLLM is unavailable."""
eps = 1e-12
absmax = input.abs().max()
absmax = torch.clamp(absmax, min=eps)
scale_val = absmax / fp8_max
# Use copy_ instead of fill_ with .item() to avoid CPU-GPU sync
scale.view(-1).copy_(scale_val.view(-1))
# Quantize
output_data = torch.clamp(input / scale_val, fp8_min, fp8_max).to(fp8_dtype)
output.copy_(output_data)
def _native_static_quant_fp8(output, input, scale):
"""Native PyTorch fallback for static FP8 quantization when vLLM is unavailable."""
# Use tensor directly instead of .item() to avoid CPU-GPU sync
output_data = torch.clamp(input / scale, fp8_min, fp8_max).to(fp8_dtype)
output.copy_(output_data)
def scaled_fp8_quant(
input: torch.Tensor,
scale: Optional[torch.Tensor] = None,
@@ -1557,16 +1592,20 @@ if _is_hip:
)
if _use_aiter:
dynamic_per_token_scaled_quant(output, input, scale)
else:
elif _has_vllm:
torch.ops._C.dynamic_per_token_scaled_fp8_quant(
output, input.contiguous(), scale, None
)
else:
_native_dynamic_per_token_quant_fp8(output, input, scale)
else:
scale = torch.zeros(1, device=input.device, dtype=torch.float32)
if _use_aiter:
dynamic_per_tensor_quant(output, input, scale)
else:
elif _has_vllm:
torch.ops._C.dynamic_scaled_fp8_quant(output, input, scale)
else:
_native_dynamic_per_tensor_quant_fp8(output, input, scale)
else:
# Static scaling
assert (
@@ -1574,8 +1613,10 @@ if _is_hip:
), f"Expected scalar scale, got numel={scale.numel()}"
if _use_aiter:
static_per_tensor_quant(output, input, scale)
else:
elif _has_vllm:
torch.ops._C.static_scaled_fp8_quant(output, input, scale)
else:
_native_static_quant_fp8(output, input, scale)
return output, scale
@@ -224,7 +224,10 @@ class UnquantizedFusedMoEMethod(FusedMoEMethodBase, MultiPlatformOp):
set_weight_attrs(w2_weight_bias, extra_weight_attrs)
def process_weights_after_loading(self, layer: torch.nn.Module) -> None:
if _use_aiter:
# Skip aiter weight shuffle when using non-auto MoE backend (e.g., triton, triton_kernels)
# because aiter CK kernels don't support all GEMM dimensions
_should_use_aiter_moe = _use_aiter and get_moe_runner_backend().is_auto()
if _should_use_aiter_moe:
layer.w13_weight = torch.nn.Parameter(
shuffle_weight(layer.w13_weight.data, (16, 16)),
requires_grad=False,
@@ -383,7 +386,10 @@ class UnquantizedFusedMoEMethod(FusedMoEMethodBase, MultiPlatformOp):
)[0]
return StandardCombineInput(hidden_states=output)
else:
if _use_aiter:
# Skip aiter fused_moe when using non-auto MoE backend (e.g., triton, triton_kernels)
# because aiter CK kernels don't support all GEMM dimensions
_should_use_aiter_moe = _use_aiter and get_moe_runner_backend().is_auto()
if _should_use_aiter_moe:
assert not moe_runner_config.no_combine, "unsupported"
topk_weights, topk_ids, _ = topk_output
if moe_runner_config.apply_router_weight_on_input:
+7
View File
@@ -1375,6 +1375,13 @@ class ServerArgs:
logger.warning(
"Detected ROCm and MXFP4 quantization format for GPT-OSS model, enabling aiter MXFP4 MOE kernel."
)
elif is_hip() and get_bool_env_var("SGLANG_USE_AITER"):
# For GPT-OSS bf16 on ROCm with aiter, use triton backend
# because aiter CK kernel doesn't support all GEMM dimensions
self.moe_runner_backend = "triton"
logger.warning(
"Detected ROCm with SGLANG_USE_AITER for GPT-OSS bf16 model, using triton MOE kernel."
)
elif self.ep_size == 1 and is_triton_kernels_available():
self.moe_runner_backend = "triton_kernel"
logger.warning(
+2 -1
View File
@@ -41,7 +41,8 @@ class BaseTestGptOss(CustomTestCase):
if model_variant == "20b":
other_args += ["--cuda-graph-max-bs", "600"]
if _is_hip:
# Respect SGLANG_USE_AITER if already set, otherwise default to "0" for HIP
if _is_hip and "SGLANG_USE_AITER" not in os.environ:
os.environ["SGLANG_USE_AITER"] = "0"
self._run_test_raw(
model=model,
+5 -1
View File
@@ -228,6 +228,7 @@ class NightlyBenchmarkRunner:
variant: str = "",
extra_bench_args: Optional[List[str]] = None,
enable_profile: bool = True,
timeout: Optional[int] = None,
) -> Tuple[List[BenchmarkResult], bool, Optional[float]]:
"""Run a complete benchmark for a single model with server management.
@@ -247,6 +248,7 @@ class NightlyBenchmarkRunner:
variant: Optional variant suffix (e.g., "basic", "mtp")
extra_bench_args: Extra arguments for the benchmark command
enable_profile: Whether to enable profiling (default True for NVIDIA)
timeout: Optional timeout for server launch (defaults to DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH)
Returns:
Tuple of (list of BenchmarkResult objects, success_bool, avg_spec_accept_length or None)
@@ -260,7 +262,9 @@ class NightlyBenchmarkRunner:
model=model_path,
base_url=self.base_url,
other_args=other_args or [],
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
timeout=(
timeout if timeout is not None else DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
),
)
try:
+106 -86
View File
@@ -2,6 +2,27 @@
set -euo pipefail
HOSTNAME_VALUE=$(hostname)
GPU_ARCH="mi30x" # default
SKIP_TT_DEPS=""
SKIP_SGLANG_BUILD=""
SKIP_AITER_BUILD=""
while [[ $# -gt 0 ]]; do
case $1 in
--skip-aiter-build) SKIP_AITER_BUILD="1"; shift;;
--skip-sglang-build) SKIP_SGLANG_BUILD="1"; shift;;
--skip-test-time-deps) SKIP_TT_DEPS="1"; shift;;
-h|--help)
echo "Usage: $0 [OPTIONS] [OPTIONAL_DEPS]"
echo "Options:"
echo " --skip-sglang-build Don't build checkout sglang, use what was shipped with the image"
echo " --skip-aiter-build Don't build aiter, use what was shipped with the image"
echo " --skip-test-time-deps Don't build miscellaneous dependencies"
exit 0
;;
*) break ;;
esac
done
OPTIONAL_DEPS="${1:-}"
# Build python extras
@@ -23,15 +44,6 @@ fi
# Fix permissions on pip cache, ignore errors from concurrent access or missing temp files
docker exec ci_sglang chown -R root:root /sgl-data/pip-cache 2>/dev/null || true
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache --upgrade pip
docker exec ci_sglang pip uninstall sgl-kernel -y || true
docker exec ci_sglang pip uninstall sglang -y || true
# Clear Python cache to ensure latest code is used
docker exec ci_sglang find /opt/venv -name "*.pyc" -delete || true
docker exec ci_sglang find /opt/venv -name "__pycache__" -type d -exec rm -rf {} + || true
# Also clear cache in sglang-checkout
docker exec ci_sglang find /sglang-checkout -name "*.pyc" -delete || true
docker exec ci_sglang find /sglang-checkout -name "__pycache__" -type d -exec rm -rf {} + || true
docker exec -w /sglang-checkout/sgl-kernel ci_sglang bash -c "rm -f pyproject.toml && mv pyproject_rocm.toml pyproject.toml && python3 setup_rocm.py install"
# Helper function to install with retries and fallback PyPI mirror
install_with_retry() {
@@ -93,75 +105,82 @@ git_clone_with_retry() {
return 1
}
# Install checkout sglang
if [ -n "$SKIP_SGLANG_BUILD" ]; then
echo "Didn't build checkout SGLang"
else
docker exec ci_sglang pip uninstall sgl-kernel -y || true
docker exec ci_sglang pip uninstall sglang -y || true
# Clear Python cache to ensure latest code is used
docker exec ci_sglang find /opt/venv -name "*.pyc" -delete || true
docker exec ci_sglang find /opt/venv -name "__pycache__" -type d -exec rm -rf {} + || true
# Also clear cache in sglang-checkout
docker exec ci_sglang find /sglang-checkout -name "*.pyc" -delete || true
docker exec ci_sglang find /sglang-checkout -name "__pycache__" -type d -exec rm -rf {} + || true
docker exec -w /sglang-checkout/sgl-kernel ci_sglang bash -c "rm -f pyproject.toml && mv pyproject_rocm.toml pyproject.toml && python3 setup_rocm.py install"
docker exec ci_sglang bash -c 'rm -rf python/pyproject.toml && mv python/pyproject_other.toml python/pyproject.toml'
install_with_retry docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e "python[${EXTRAS}]"
fi
case "${GPU_ARCH}" in
mi35x)
echo "Runner uses ${GPU_ARCH}; will fetch mi35x image."
docker exec ci_sglang rm -rf python/pyproject.toml && mv python/pyproject_other.toml python/pyproject.toml
# Follow the same dependency installation flow as mi30x/mi300/mi325.
install_with_retry docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e "python[${EXTRAS}]"
# For lmms_evals evaluating MMMU
docker exec -w / ci_sglang git clone --branch v0.4.1 --depth 1 https://github.com/EvolvingLMMs-Lab/lmms-eval.git
install_with_retry docker exec -w /lmms-eval ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e .
;;
mi30x|mi300|mi325)
echo "Runner uses ${GPU_ARCH}; will fetch mi30x image."
docker exec ci_sglang rm -rf python/pyproject.toml && mv python/pyproject_other.toml python/pyproject.toml
install_with_retry docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e "python[${EXTRAS}]"
# For lmms_evals evaluating MMMU
docker exec -w / ci_sglang git clone --branch v0.4.1 --depth 1 https://github.com/EvolvingLMMs-Lab/lmms-eval.git
install_with_retry docker exec -w /lmms-eval ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e .
;;
*)
echo "Runner architecture '${GPU_ARCH}' unrecognised;" >&2
;;
esac
if [[ -n "${SKIP_TT_DEPS}" ]]; then
echo "Didn't build lmms_eval, human-eval, and others"
else
# For lmms_evals evaluating MMMU
docker exec -w / ci_sglang git clone --branch v0.4.1 --depth 1 https://github.com/EvolvingLMMs-Lab/lmms-eval.git
install_with_retry docker exec -w /lmms-eval ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e .
#docker exec -w / ci_sglang git clone https://github.com/merrymercy/human-eval.git
git_clone_with_retry https://github.com/merrymercy/human-eval.git human-eval
docker cp human-eval ci_sglang:/
# Ensure setuptools is installed (human-eval's setup.py imports pkg_resources)
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache setuptools
install_with_retry docker exec -w /human-eval ci_sglang pip install --cache-dir=/sgl-data/pip-cache --no-build-isolation -e .
git_clone_with_retry https://github.com/akao-amd/human-eval.git human-eval
docker cp human-eval ci_sglang:/
install_with_retry docker exec -w /human-eval ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e .
docker exec -w / ci_sglang mkdir -p /dummy-grok
# Create dummy grok config inline (bypasses Azure blob storage which may have auth issues)
mkdir -p dummy-grok
cat > dummy-grok/config.json << 'EOF'
{
"architectures": [
"Grok1ModelForCausalLM"
],
"embedding_multiplier_scale": 78.38367176906169,
"output_multiplier_scale": 0.5773502691896257,
"vocab_size": 131072,
"hidden_size": 6144,
"intermediate_size": 32768,
"max_position_embeddings": 8192,
"num_experts_per_tok": 2,
"num_local_experts": 8,
"num_attention_heads": 48,
"num_hidden_layers": 64,
"num_key_value_heads": 8,
"head_dim": 128,
"rms_norm_eps": 1e-05,
"rope_theta": 10000.0,
"model_type": "mixtral",
"torch_dtype": "bfloat16"
}
docker exec -w / ci_sglang mkdir -p /dummy-grok
# Create dummy grok config inline (bypasses Azure blob storage which may have auth issues)
mkdir -p dummy-grok
cat > dummy-grok/config.json << 'EOF'
{
"architectures": [
"Grok1ModelForCausalLM"
],
"embedding_multiplier_scale": 78.38367176906169,
"output_multiplier_scale": 0.5773502691896257,
"vocab_size": 131072,
"hidden_size": 6144,
"intermediate_size": 32768,
"max_position_embeddings": 8192,
"num_experts_per_tok": 2,
"num_local_experts": 8,
"num_attention_heads": 48,
"num_hidden_layers": 64,
"num_key_value_heads": 8,
"head_dim": 128,
"rms_norm_eps": 1e-05,
"rope_theta": 10000.0,
"model_type": "mixtral",
"torch_dtype": "bfloat16"
}
EOF
docker cp ./dummy-grok ci_sglang:/
# docker exec -w / ci_sglang mkdir -p /dummy-grok
# mkdir -p dummy-grok && wget https://sharkpublic.blob.core.windows.net/sharkpublic/sglang/dummy_grok.json -O dummy-grok/config.json
# docker cp ./dummy-grok ci_sglang:/
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache huggingface_hub[hf_xet]
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache pytest
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache huggingface_hub[hf_xet]
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache pytest
# Install tvm-ffi for JIT kernel support (QK-norm, etc.)
echo "Installing tvm-ffi for JIT kernel support..."
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache git+https://github.com/apache/tvm-ffi.git || echo "tvm-ffi installation failed, JIT kernels will use fallback"
# Install tvm-ffi for JIT kernel support (QK-norm, etc.)
echo "Installing tvm-ffi for JIT kernel support..."
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache git+https://github.com/apache/tvm-ffi.git || echo "tvm-ffi installation failed, JIT kernels will use fallback"
# Install cache-dit for qwen_image_t2i_cache_dit_enabled test (added in PR 16204)
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache cache-dit || echo "cache-dit installation failed"
# Install cache-dit for qwen_image_t2i_cache_dit_enabled test (added in PR 16204)
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache cache-dit || echo "cache-dit installation failed"
# Install accelerate for distributed training and inference support
docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache accelerate || echo "accelerate installation failed"
fi
if [[ -n "${SKIP_AITER_BUILD}" ]]; then
exit 0
fi
# Detect AITER version
#############################################
@@ -215,16 +234,17 @@ echo "[CI-AITER-CHECK] AITER version inside CI image: ${IMAGE_AITER_VERSION}"
#############################################
NEED_REBUILD="false"
if [[ "${IMAGE_AITER_VERSION}" == "none" ]]; then
echo "[CI-AITER-CHECK] No AITER found in image"
NEED_REBUILD="true"
elif [[ "${IMAGE_AITER_VERSION}" != "${REPO_AITER_COMMIT}" ]]; then
echo "[CI-AITER-CHECK] Version mismatch:"
echo " Image: ${IMAGE_AITER_VERSION}"
echo " Repo : ${REPO_AITER_COMMIT}"
if [[ "${IMAGE_AITER_VERSION}" == "vnone" || "${IMAGE_AITER_VERSION}" == "v" ]]; then
echo "[CI-AITER-CHECK] No AITER found in image → rebuild needed"
NEED_REBUILD="true"
elif [[ "${IMAGE_AITER_VERSION}" == "${REPO_AITER_COMMIT}" ]]; then
echo "[CI-AITER-CHECK] AITER version matches"
elif [[ "${IMAGE_AITER_VERSION}" =~ (dev|\+g[0-9a-f]+) ]]; then
# Dev/patched version (contains 'dev' or git hash) → preserve it
echo "[CI-AITER-CHECK] Dev/patched version detected: ${IMAGE_AITER_VERSION} → skipping rebuild"
else
echo "[CI-AITER-CHECK] AITER version matches → using image's version."
echo "[CI-AITER-CHECK] Version mismatch: image=${IMAGE_AITER_VERSION}, repo=${REPO_AITER_COMMIT}"
NEED_REBUILD="true"
fi
@@ -270,12 +290,12 @@ fi
echo "[CI-AITER-CHECK] === AITER VERSION CHECK END ==="
# Clear pre-built AITER kernels from Docker image to avoid segfaults
# The Docker image may contain pre-compiled kernels incompatible with the current environment
echo "Clearing pre-built AITER kernels from Docker image..."
docker exec ci_sglang find /sgl-workspace/aiter/aiter/jit -name "*.so" -delete 2>/dev/null || true
docker exec ci_sglang ls -la /sgl-workspace/aiter/aiter/jit/ 2>/dev/null || echo "jit dir empty or not found"
# # Clear pre-built AITER kernels from Docker image to avoid segfaults
# # The Docker image may contain pre-compiled kernels incompatible with the current environment
# echo "Clearing pre-built AITER kernels from Docker image..."
# docker exec ci_sglang find /sgl-workspace/aiter/aiter/jit -name "*.so" -delete 2>/dev/null || true
# docker exec ci_sglang ls -la /sgl-workspace/aiter/aiter/jit/ 2>/dev/null || echo "jit dir empty or not found"
# Pre-build AITER kernels to avoid timeout during tests
echo "Warming up AITER JIT kernels..."
docker exec -e SGLANG_USE_AITER=1 ci_sglang python3 /sglang-checkout/scripts/ci/amd/amd_ci_warmup_aiter.py || echo "AITER warmup completed (some kernels may not be available)"
# # Pre-build AITER kernels to avoid timeout during tests
# echo "Warming up AITER JIT kernels..."
# docker exec -e SGLANG_USE_AITER=1 ci_sglang python3 /sglang-checkout/scripts/ci/amd/amd_ci_warmup_aiter.py || echo "AITER warmup completed (some kernels may not be available)"
+87 -12
View File
@@ -27,13 +27,32 @@ DEFAULT_MI35X_BASE_TAG="${SGLANG_VERSION}-${ROCM_VERSION}-mi35x"
# Parse command line arguments
MI30X_BASE_TAG="${DEFAULT_MI30X_BASE_TAG}"
MI35X_BASE_TAG="${DEFAULT_MI35X_BASE_TAG}"
CUSTOM_IMAGE=""
BUILD_FROM_DOCKERFILE=""
GPU_ARCH_BUILD=""
while [[ $# -gt 0 ]]; do
case $1 in
--mi30x-base-tag) MI30X_BASE_TAG="$2"; shift 2;;
--mi35x-base-tag) MI35X_BASE_TAG="$2"; shift 2;;
--custom-image) CUSTOM_IMAGE="$2"; shift 2;;
--build-from-dockerfile) BUILD_FROM_DOCKERFILE="1"; shift;;
--gpu-arch) GPU_ARCH_BUILD="$2"; shift 2;;
--rocm-version)
ROCM_VERSION="$2"
MI30X_BASE_TAG="${SGLANG_VERSION}-${ROCM_VERSION}-mi30x"
MI35X_BASE_TAG="${SGLANG_VERSION}-${ROCM_VERSION}-mi35x"
echo "Using ROCm version override: ${ROCM_VERSION}"
shift 2;;
-h|--help)
echo "Usage: $0 [--mi30x-base-tag TAG] [--mi35x-base-tag TAG]"
echo "Usage: $0 [OPTIONS]"
echo "Options:"
echo " --mi30x-base-tag TAG Override MI30x base image tag"
echo " --mi35x-base-tag TAG Override MI35x base image tag"
echo " --custom-image IMAGE Use a specific Docker image directly"
echo " --build-from-dockerfile Build image from docker/rocm.Dockerfile"
echo " --gpu-arch ARCH GPU architecture for Dockerfile build (e.g., gfx950-rocm720)"
echo " --rocm-version VERSION Override ROCm version for image lookup (e.g., rocm720)"
exit 0
;;
*) echo "Unknown option $1"; exit 1;;
@@ -54,7 +73,7 @@ else
echo "Warning: could not parse GPU architecture from '${HOSTNAME_VALUE}', defaulting to ${GPU_ARCH}"
fi
# Normalise / collapse architectures we dont yet build specifically for
# Normalise / collapse architectures we don't yet build specifically for
case "${GPU_ARCH}" in
mi35x)
echo "Runner uses ${GPU_ARCH}; will fetch mi35x image."
@@ -134,18 +153,73 @@ find_latest_image() {
fi
echo "Error: no ${gpu_arch} image found in the last 7 days for base ${base_tag}" >&2
echo "Using hard-coded fallback" >&2
if [[ "${gpu_arch}" == "mi35x" ]]; then
echo "rocm/sgl-dev:v0.5.5-rocm700-mi35x-20251110"
else
echo "rocm/sgl-dev:v0.5.5-rocm700-mi30x-20251110"
fi
echo "Using hard-coded fallback for ${ROCM_VERSION}" >&2
case "${ROCM_VERSION}" in
rocm720)
if [[ "${gpu_arch}" == "mi35x" ]]; then
echo "rocm/sgl-dev:v0.5.8.post1-rocm720-mi35x-20260211-preview"
else
echo "rocm/sgl-dev:v0.5.8.post1-rocm720-mi30x-20260211-preview"
fi
;;
rocm700)
if [[ "${gpu_arch}" == "mi35x" ]]; then
echo "rocm/sgl-dev:v0.5.8.post1-rocm700-mi35x-20260211"
else
echo "rocm/sgl-dev:v0.5.8.post1-rocm700-mi30x-20260211"
fi
;;
*)
echo "Error: no hard-coded fallback available for ${ROCM_VERSION}" >&2
return 1
;;
esac
}
# Pull and run the latest image
IMAGE=$(find_latest_image "${GPU_ARCH}")
echo "Pulling Docker image: ${IMAGE}"
docker pull "${IMAGE}"
# Determine which image to use
if [[ -n "${CUSTOM_IMAGE}" ]]; then
# Use explicitly provided custom image
IMAGE="${CUSTOM_IMAGE}"
echo "Using custom image: ${IMAGE}"
docker pull "${IMAGE}"
elif [[ -n "${BUILD_FROM_DOCKERFILE}" ]]; then
# Build image from Dockerfile
if [[ -z "${GPU_ARCH_BUILD}" ]]; then
echo "Error: --gpu-arch is required when using --build-from-dockerfile" >&2
exit 1
fi
DOCKERFILE_DIR="${GITHUB_WORKSPACE:-$PWD}/docker"
# Use rocm720.Dockerfile for ROCm 7.2 builds, otherwise use rocm.Dockerfile
if [[ "${GPU_ARCH_BUILD}" == *"rocm720"* ]]; then
DOCKERFILE="${DOCKERFILE_DIR}/rocm720.Dockerfile"
else
DOCKERFILE="${DOCKERFILE_DIR}/rocm.Dockerfile"
fi
if [[ ! -f "${DOCKERFILE}" ]]; then
echo "Error: Dockerfile not found at ${DOCKERFILE}" >&2
exit 1
fi
IMAGE="sglang-ci:${GPU_ARCH_BUILD}-$(date +%Y%m%d)"
echo "Building Docker image from ${DOCKERFILE} with GPU_ARCH=${GPU_ARCH_BUILD}..."
# Pass full GPU_ARCH (e.g., gfx950-rocm720) - Dockerfile handles stripping suffix
docker build \
--build-arg GPU_ARCH="${GPU_ARCH_BUILD}" \
--build-arg SGL_BRANCH="main" \
-t "${IMAGE}" \
-f "${DOCKERFILE}" \
"${DOCKERFILE_DIR}"
echo "Successfully built image: ${IMAGE}"
else
# Find the latest pre-built image
IMAGE=$(find_latest_image "${GPU_ARCH}")
echo "Pulling Docker image: ${IMAGE}"
docker pull "${IMAGE}"
fi
CACHE_HOST=/home/runner/sgl-data
if [[ -d "$CACHE_HOST" ]]; then
@@ -156,6 +230,7 @@ fi
echo "Launching container: ci_sglang"
docker run -dt --user root --device=/dev/kfd ${DEVICE_FLAG} \
--ulimit nofile=65536:65536 \
-v "${GITHUB_WORKSPACE:-$PWD}:/sglang-checkout" \
$CACHE_VOLUME \
--group-add video \
@@ -68,7 +68,7 @@ GPT_OSS_MODELS = [
"triton",
"--trust-remote-code",
],
env_vars={"SGLANG_USE_AITER": "0"},
env_vars={"SGLANG_USE_AITER": "1"},
),
ModelConfig(
model_path="lmsys/gpt-oss-120b-bf16",
@@ -86,7 +86,7 @@ GPT_OSS_MODELS = [
"triton",
"--trust-remote-code",
],
env_vars={"SGLANG_USE_AITER": "0"},
env_vars={"SGLANG_USE_AITER": "1"},
),
]
@@ -41,7 +41,7 @@ MODEL_SCORE_THRESHOLDS = {
# Llama 3.2 series (smaller models)
"meta-llama/Llama-3.2-3B-Instruct": 0.55,
# Mistral series
"mistralai/Mistral-7B-Instruct-v0.3": 0.58,
"mistralai/Mistral-7B-Instruct-v0.3": 0.55,
"mistralai/Mixtral-8x7B-Instruct-v0.1": 0.61,
# DeepSeek series
"deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct": 0.85,
@@ -108,10 +108,10 @@ DISABLE_HF_XET_MODELS = {
"neuralmagic/Qwen2-57B-A14B-Instruct-FP8",
}
TRITON_MOE_MODELS = {
"neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8",
# "neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8",
"neuralmagic/DeepSeek-Coder-V2-Lite-Instruct-FP8",
"mistralai/Mixtral-8x7B-Instruct-v0.1",
"mistralai/Mistral-7B-Instruct-v0.3",
# "mistralai/Mixtral-8x7B-Instruct-v0.1",
# "mistralai/Mistral-7B-Instruct-v0.3",
}
# AMD-specific models that need special launch config (matching in-house CI sanity_check.py)
# AMD_SPECIAL_CONFIG_MODELS = {
@@ -120,9 +120,9 @@ AMD_VLM_MODELS = [
# Models that need special handling on AMD (MoE models)
TRITON_ATTENTION_MODELS = {
"deepseek-ai/deepseek-vl2-small",
"Qwen/Qwen3-VL-30B-A3B-Instruct",
"moonshotai/Kimi-VL-A3B-Instruct",
# "deepseek-ai/deepseek-vl2-small",
# "Qwen/Qwen3-VL-30B-A3B-Instruct",
# "moonshotai/Kimi-VL-A3B-Instruct",
}
# Models known to fail on AMD - exclude from testing
@@ -32,9 +32,9 @@ from sglang.test.test_utils import (
)
from sglang.utils import download_and_cache_file, read_jsonl
# Register for AMD CI - MI35x DeepSeek-V3.2 accuracy test (~60 min for basic only)
# Register for AMD CI - MI35x DeepSeek-V3.2 accuracy test (~90 min for basic only)
register_amd_ci(
est_time=3600,
est_time=5400,
suite="nightly-amd-8-gpu-mi35x-deepseek-v32",
nightly=True,
)
@@ -74,7 +74,7 @@ MI35X_DEEPSEEK_V32_MODELS = [
model_path="deepseek-ai/DeepSeek-V3.2",
tp_size=8,
accuracy_threshold=0.93,
timeout=3600,
timeout=5400,
variant="basic",
other_args=[
"--trust-remote-code",
@@ -22,7 +22,6 @@ from sglang.test.ci.ci_register import register_amd_ci
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.send_one import BenchArgs, send_one_prompt
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
is_in_ci,
@@ -32,7 +31,7 @@ from sglang.test.test_utils import (
# Register for AMD CI - MI35x DeepSeek-V3.2 TP+MTP accuracy test
register_amd_ci(
est_time=3600,
est_time=5400,
suite="nightly-amd-accuracy-8-gpu-mi35x-deepseek-v32-mtp",
nightly=True,
)
@@ -55,10 +54,15 @@ class TestDeepseekV32TPMTP(CustomTestCase):
def setUpClass(cls):
cls.model = DEEPSEEK_V32_MODEL_PATH
cls.base_url = DEFAULT_URL_FOR_TEST
# Use same args as perf test (which passes successfully)
other_args = [
"--trust-remote-code",
"--tp",
"8",
"--nsa-prefill-backend",
"tilelang",
"--nsa-decode-backend",
"tilelang",
"--speculative-algorithm",
"EAGLE",
"--speculative-num-steps",
@@ -67,19 +71,17 @@ class TestDeepseekV32TPMTP(CustomTestCase):
"1",
"--speculative-num-draft-tokens",
"4",
"--mem-frac",
"--mem-fraction-static",
"0.7",
"--model-loader-extra-config",
'{"enable_multithread_load": true}',
"--nsa-prefill-backend",
"tilelang",
"--nsa-decode-backend",
"tilelang",
"--watchdog-timeout",
"1200",
]
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
timeout=5400,
other_args=other_args,
)
@@ -97,8 +99,8 @@ class TestDeepseekV32TPMTP(CustomTestCase):
args = SimpleNamespace(
num_shots=20,
data_path=None,
num_questions=1400,
parallel=1400,
num_questions=200,
parallel=64,
max_new_tokens=512,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
@@ -75,9 +75,7 @@ MI35X_GPT_OSS_MODELS = [
"triton",
"--trust-remote-code",
],
env_vars={
"SGLANG_USE_AITER": "0"
}, # Disabled due to SWA eviction bug with aiter (#17220)
env_vars={"SGLANG_USE_AITER": "1"},
),
ModelConfig(
model_path="openai/gpt-oss-120b",
@@ -95,9 +93,7 @@ MI35X_GPT_OSS_MODELS = [
"triton",
"--trust-remote-code",
],
env_vars={
"SGLANG_USE_AITER": "0"
}, # Disabled due to SWA eviction bug with aiter (#17220)
env_vars={"SGLANG_USE_AITER": "1"},
),
]
@@ -115,6 +115,7 @@ class TestNightlyDeepseekV32BasicPerformance(unittest.TestCase):
variant=self.variant_config["name"],
extra_bench_args=["--trust-remote-code"],
enable_profile=False, # Disable profiling for AMD tests
timeout=5400, # Extended timeout for large model loading
)
results = result_tuple[0]
success = result_tuple[1]
@@ -5,6 +5,7 @@ register_amd_ci(est_time=30, suite="stage-b-test-small-1-gpu-amd")
# Adapted from https://github.com/vllm-project/vllm/blob/633f943e30a4444d890d26b81850f7217736f840/tests/kernels/mamba/test_mamba_ssm_ssd.py
import os
import pytest
import torch
@@ -13,8 +14,12 @@ from einops import rearrange, repeat
from sglang.srt.layers.attention.mamba.mamba2_metadata import Mamba2Metadata
from sglang.srt.layers.attention.mamba.ops import mamba_chunk_scan_combined
from sglang.srt.utils.common import is_hip
from sglang.utils import is_in_ci
if is_hip():
os.environ["AMDGCN_USE_BUFFER_OPS"] = "0"
# Added by the IBM Team, 2024
# Adapted from https://github.com/state-spaces/mamba/blob/v2.2.4/mamba_ssm/modules/ssd_minimal.py
@@ -37,6 +37,7 @@ from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
is_in_amd_ci,
is_in_ci,
popen_launch_server,
)
@@ -64,6 +65,60 @@ def verify_params_not_close(params1, params2, error_msg):
assert not np.allclose(np.array(params1), np.array(params2)), error_msg
def _warmup_broadcast(
hf_base_model,
state_dict_key_to_shape,
tie_word_embeddings,
load_format,
group,
):
"""Run one broadcast round to warm up RCCL before timing."""
broadcast_parameters = list(state_dict_key_to_shape.keys())
if tie_word_embeddings:
broadcast_parameters.remove("lm_head.weight")
if load_format == "flattened_bucket":
named_tensors = [
(name, hf_base_model.get_parameter(name)) for name in broadcast_parameters
]
bucket = FlattenedTensorBucket(named_tensors=named_tensors)
flattened_tensor = bucket.get_flattened_tensor()
torch.distributed.broadcast(flattened_tensor, src=0, group=group)
else:
for name in broadcast_parameters:
torch.distributed.broadcast(
hf_base_model.get_parameter(name),
src=0,
group=group,
)
def _warmup_update(
backend, engine, url, names, dtypes, shapes, load_format, pause_generation_mode
):
"""Run one update round to warm up RCCL before timing."""
if backend == "Engine":
engine.update_weights_from_distributed(
names,
dtypes=dtypes,
shapes=shapes,
group_name="test_parameter_update_group",
load_format=load_format,
)
else:
requests.post(
f"{url}/update_weights_from_distributed",
json={
"names": names,
"dtypes": dtypes,
"shapes": shapes,
"group_name": "test_parameter_update_group",
"load_format": load_format,
"flush_cache": not (pause_generation_mode == "in_place"),
},
)
def init_process(
rank,
world_size,
@@ -180,6 +235,18 @@ def init_process_hf(
)
torch.cuda.synchronize()
barrier.wait()
# Warmup: trigger RCCL initialization so it's excluded from timing
if is_in_amd_ci():
_warmup_broadcast(
hf_base_model,
state_dict_key_to_shape,
tie_word_embeddings,
load_format,
group,
)
torch.cuda.synchronize()
time_begin_broadcast = time.perf_counter()
# The last parameter is lm_head.weight, which is tied
@@ -354,6 +421,21 @@ def init_process_sgl(
)
torch.cuda.synchronize()
barrier.wait()
# Warmup: trigger RCCL initialization so it's excluded from timing
if is_in_amd_ci():
_warmup_update(
backend,
engine if backend == "Engine" else None,
url if backend != "Engine" else None,
names,
dtypes,
shapes,
load_format,
pause_generation_mode,
)
torch.cuda.synchronize()
time_begin_update = time.perf_counter()
if backend == "Engine":
engine.update_weights_from_distributed(
+4 -2
View File
@@ -120,8 +120,10 @@ def auto_partition(files: List[CIRegistry], rank, size):
if not files or size <= 0:
return []
# Sort files by estimated_time in descending order (LPT heuristic)
sorted_files = sorted(files, key=lambda f: f.est_time, reverse=True)
# Sort files by estimated_time in descending order (LPT heuristic).
# Use filename as tie-breaker to ensure deterministic partitioning
# regardless of glob ordering.
sorted_files = sorted(files, key=lambda f: (-f.est_time, f.filename))
partitions = [[] for _ in range(size)]
partition_sums = [0.0] * size