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[AMD] CI - Add MI35x nightly/PR tests for kv-cache-fp8 and allreduce-fusion (DeepSeek) (#19834)

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Co-authored-by: bingxche <Bingxu.Chen@amd.com>
This commit is contained in:
YC Tseng
2026-03-05 18:09:57 +03:00
committed by GitHub
parent 0de0d74195
commit b5edab57f2
13 changed files with 1614 additions and 177 deletions
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221
.github/workflows/nightly-test-amd-rocm720.yml vendored
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@@ -21,46 +21,10 @@ on:
type: boolean
default: true
job_filter:
description: 'Select which job to run (leave empty or "all" to run all jobs)'
description: 'Comma-separated list of jobs to run (e.g. "nightly-8-gpu-grok2-rocm720,nightly-8-gpu-deepseek-v31-rocm720"). Leave empty or "all" to run all jobs.'
required: false
type: choice
type: string
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-k25-rocm720'
- 'nightly-8-gpu-qwen3-235b-rocm720'
- 'nightly-8-gpu-qwen35-rocm720'
- 'nightly-8-gpu-glm5-rocm720'
- 'nightly-8-gpu-minimax-m25-rocm720'
# MI35x ROCm 7.2 jobs
- 'nightly-test-1-gpu-mi35x-rocm720'
- 'nightly-8-gpu-mi35x-qwen3-235b-mxfp4-rocm720'
- 'nightly-8-gpu-mi35x-qwen35-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'
- 'nightly-8-gpu-mi35x-kimi-k25-rocm720'
- 'nightly-8-gpu-mi35x-glm5-rocm720'
- 'nightly-8-gpu-mi35x-minimax-m25-rocm720'
workflow_call:
inputs:
ref:
@@ -98,7 +62,7 @@ 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-test-1-gpu-unit-rocm720,'))
runs-on: linux-mi325-1gpu-sglang
steps:
- name: Checkout code
@@ -127,7 +91,7 @@ jobs:
# ============================================== 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-2-gpu-rocm720,'))
runs-on: linux-mi325-2gpu-sglang
steps:
- name: Checkout code
@@ -155,7 +119,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-2-gpu-vlm-rocm720,'))
runs-on: linux-mi325-2gpu-sglang
steps:
- name: Checkout code
@@ -184,7 +148,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-perf-2-gpu-text-rocm720,'))
runs-on: linux-mi325-2gpu-sglang
steps:
- name: Checkout code
@@ -214,7 +178,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-perf-2-gpu-vlm-rocm720,'))
runs-on: linux-mi325-2gpu-sglang
steps:
- name: Checkout code
@@ -244,7 +208,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-8-gpu-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -284,7 +248,7 @@ jobs:
# ============================================== 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-grok1-int4-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -327,7 +291,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-grok2-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -370,7 +334,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-deepseek-v31-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -413,7 +377,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-deepseek-v32-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -454,7 +418,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-deepseek-v32-mtp-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -493,9 +457,39 @@ jobs:
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU DeepSeek-V3 KV FP8 (Basic + MTP with --kv-cache-dtype fp8_e4m3) ROCm 7.2
nightly-8-gpu-deepseek-v3-kv-fp8-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-deepseek-v3-kv-fp8-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
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-test-time-deps
- name: DeepSeek-V3 KV FP8 Test ROCm 7.2 (8-GPU Basic + 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-8-gpu-deepseek-v3-kv-fp8 --nightly --timeout-per-file 3600 ${{ inputs.continue_on_error && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU Kimi-K2.5 (Accuracy) ROCm 7.2
nightly-8-gpu-kimi-k25-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-k25-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-kimi-k25-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -525,7 +519,7 @@ jobs:
# 8-GPU Qwen3-235B (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-qwen3-235b-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-qwen3-235b-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-qwen3-235b-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -555,7 +549,7 @@ jobs:
# 8-GPU Qwen 3.5 (Accuracy) ROCm 7.2
nightly-8-gpu-qwen35-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-qwen35-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-qwen35-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -587,7 +581,7 @@ jobs:
# 8-GPU GLM-5 (Accuracy) ROCm 7.2
nightly-8-gpu-glm5-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-glm5-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-glm5-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -620,7 +614,7 @@ jobs:
# 8-GPU MiniMax-M2.5 (Accuracy) ROCm 7.2
nightly-8-gpu-minimax-m25-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-minimax-m25-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-minimax-m25-rocm720,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -652,7 +646,7 @@ jobs:
# ============================================== 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-test-1-gpu-mi35x-rocm720,'))
runs-on: linux-mi35x-gpu-1
steps:
- name: Checkout code
@@ -681,7 +675,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-8-gpu-mi35x-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -713,7 +707,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-grok1-int4-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -759,7 +753,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-grok2-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -805,7 +799,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -847,9 +841,97 @@ jobs:
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-R1-MXFP4 KV FP8 (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8-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-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 KV FP8)
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-kv-fp8 --nightly --timeout-per-file 7200 ${{ inputs.continue_on_error && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test MI35x ROCm 7.2 (8-GPU DeepSeek-R1-MXFP4 KV FP8)
timeout-minutes: 300
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 registered/amd/perf/mi35x/test_deepseek_r1_mxfp4_kv_fp8_perf_mi35x.py || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-R1-MXFP4 AllReduce Fusion (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion-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-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 AllReduce Fusion)
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-ar-fusion --nightly --timeout-per-file 7200 ${{ inputs.continue_on_error && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test MI35x ROCm 7.2 (8-GPU DeepSeek-R1-MXFP4 AllReduce Fusion)
timeout-minutes: 300
continue-on-error: true
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 registered/amd/perf/mi35x/test_deepseek_r1_mxfp4_ar_fusion_perf_mi35x.py || TEST_EXIT_CODE=$?
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-8-gpu-mi35x-deepseek-v32-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -882,7 +964,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -915,7 +997,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-perf-8-gpu-mi35x-deepseek-v32-basic-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -948,7 +1030,7 @@ jobs:
# MI35x 8-GPU Kimi-K2.5 (Accuracy) ROCm 7.2
nightly-8-gpu-mi35x-kimi-k25-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-kimi-k25-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-kimi-k25-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -981,7 +1063,7 @@ jobs:
# MI35x 8-GPU Qwen3-235B-MXFP4 (Accuracy + Performance) ROCm 7.2
nightly-8-gpu-mi35x-qwen3-235b-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-qwen3-235b-mxfp4-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-qwen3-235b-mxfp4-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1014,7 +1096,7 @@ jobs:
# MI35x 8-GPU Qwen 3.5 (Accuracy) ROCm 7.2
nightly-8-gpu-mi35x-qwen35-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-qwen35-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-qwen35-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1046,7 +1128,7 @@ jobs:
exit ${TEST_EXIT_CODE:-0}
nightly-8-gpu-mi35x-glm5-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-glm5-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-glm5-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1081,7 +1163,7 @@ jobs:
# MI35x 8-GPU MiniMax-M2.5 (Accuracy) ROCm 7.2
nightly-8-gpu-mi35x-minimax-m25-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-minimax-m25-rocm720')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-minimax-m25-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1114,7 +1196,7 @@ jobs:
# 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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-perf-8-gpu-mi35x-deepseek-v32-mtp-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1163,6 +1245,7 @@ jobs:
- nightly-8-gpu-deepseek-v31-rocm720
- nightly-8-gpu-deepseek-v32-rocm720
- nightly-8-gpu-deepseek-v32-mtp-rocm720
- nightly-8-gpu-deepseek-v3-kv-fp8-rocm720
- nightly-8-gpu-kimi-k25-rocm720
- nightly-8-gpu-qwen3-235b-rocm720
- nightly-8-gpu-qwen35-rocm720
@@ -1174,6 +1257,8 @@ jobs:
- nightly-8-gpu-mi35x-grok1-int4-rocm720
- nightly-8-gpu-mi35x-grok2-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion-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

221
.github/workflows/nightly-test-amd.yml vendored
View File

@@ -21,46 +21,10 @@ on:
type: boolean
default: true
job_filter:
description: 'Select which job to run (leave empty or "all" to run all jobs)'
description: 'Comma-separated list of jobs to run (e.g. "nightly-8-gpu-grok2,nightly-8-gpu-deepseek-v31"). Leave empty or "all" to run all jobs.'
required: false
type: choice
type: string
default: 'all'
options:
- 'all'
# MI30x Unit Tests
- 'nightly-test-1-gpu-unit'
# MI30x Accuracy Tests (GSM8K / MMMU)
- 'nightly-accuracy-2-gpu'
- 'nightly-accuracy-2-gpu-vlm'
- 'nightly-perf-2-gpu-text'
- 'nightly-perf-2-gpu-vlm'
- 'nightly-accuracy-8-gpu'
# MI30x Accuracy + Performance Tests (combined)
- 'nightly-8-gpu-grok1-int4'
- 'nightly-8-gpu-grok2'
- 'nightly-8-gpu-deepseek-v31'
- 'nightly-8-gpu-deepseek-v32'
- 'nightly-8-gpu-deepseek-v32-mtp'
- 'nightly-8-gpu-kimi-k25'
- 'nightly-8-gpu-qwen3-235b'
- 'nightly-8-gpu-qwen35'
- 'nightly-8-gpu-glm5'
- 'nightly-8-gpu-minimax-m25'
# MI35x jobs
- 'nightly-test-1-gpu-mi35x'
- 'nightly-8-gpu-mi35x-qwen3-235b-mxfp4'
- 'nightly-8-gpu-mi35x-qwen35'
- 'nightly-8-gpu-mi35x-kimi-k25'
- 'nightly-8-gpu-mi35x-glm5'
- 'nightly-8-gpu-mi35x-minimax-m25'
- 'nightly-accuracy-8-gpu-mi35x'
- 'nightly-8-gpu-mi35x-grok1-int4'
- 'nightly-8-gpu-mi35x-grok2'
- 'nightly-8-gpu-mi35x-deepseek-r1-mxfp4'
- 'nightly-accuracy-8-gpu-mi35x-deepseek-v32'
- 'nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp'
- 'nightly-perf-8-gpu-mi35x-deepseek-v32-basic'
- 'nightly-perf-8-gpu-mi35x-deepseek-v32-mtp'
workflow_call:
inputs:
ref:
@@ -98,7 +62,7 @@ jobs:
# ============================================== MI30x Unit Tests ==============================================
# 1-GPU Unit Tests - LoRA, debug utils, scheduler, etc. (MI30x only)
nightly-test-1-gpu-unit:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-test-1-gpu-unit,'))
runs-on: linux-mi325-1gpu-sglang
steps:
- name: Checkout code
@@ -128,7 +92,7 @@ jobs:
# ============================================== MI30x Accuracy Tests ==============================================
# 2-GPU Accuracy Tests - GSM8K eval (MI30x only)
nightly-accuracy-2-gpu:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-2-gpu,'))
runs-on: linux-mi325-2gpu-sglang
steps:
- name: Checkout code
@@ -157,7 +121,7 @@ jobs:
# 2-GPU VLM Accuracy Tests - Vision-Language Models MMMU evaluation
nightly-accuracy-2-gpu-vlm:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-2-gpu-vlm,'))
runs-on: linux-mi325-2gpu-sglang
steps:
- name: Checkout code
@@ -187,7 +151,7 @@ jobs:
# 2-GPU Text Models Performance Tests
nightly-perf-2-gpu-text:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-perf-2-gpu-text,'))
runs-on: linux-mi325-2gpu-sglang
steps:
- name: Checkout code
@@ -218,7 +182,7 @@ jobs:
# 2-GPU VLM Performance Tests
nightly-perf-2-gpu-vlm:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-perf-2-gpu-vlm,'))
runs-on: linux-mi325-2gpu-sglang
steps:
- name: Checkout code
@@ -249,7 +213,7 @@ jobs:
# 8-GPU Accuracy Tests - GPT-OSS, Grok1-FP8 (accuracy only)
nightly-accuracy-8-gpu:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-8-gpu,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -289,7 +253,7 @@ jobs:
# ============================================== MI30x Combined Accuracy + Performance Tests ==============================================
# 8-GPU Grok1-INT4 (Accuracy + Performance combined)
nightly-8-gpu-grok1-int4:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-grok1-int4,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -332,7 +296,7 @@ jobs:
# 8-GPU Grok2 (Accuracy + Performance combined)
nightly-8-gpu-grok2:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-grok2,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -375,7 +339,7 @@ jobs:
# 8-GPU DeepSeek-V3.1 (Accuracy + Performance combined)
nightly-8-gpu-deepseek-v31:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-deepseek-v31,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -418,7 +382,7 @@ jobs:
# 8-GPU DeepSeek-V3.2 (Basic Accuracy + Perf)
nightly-8-gpu-deepseek-v32:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-deepseek-v32,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -459,7 +423,7 @@ jobs:
# 8-GPU DeepSeek-V3.2 MTP (MTP Accuracy + Perf)
nightly-8-gpu-deepseek-v32-mtp:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-deepseek-v32-mtp,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -498,9 +462,39 @@ jobs:
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU DeepSeek-V3 KV FP8 (Basic + MTP with --kv-cache-dtype fp8_e4m3)
nightly-8-gpu-deepseek-v3-kv-fp8:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-deepseek-v3-kv-fp8,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh
- name: DeepSeek-V3 KV FP8 Test (8-GPU Basic + 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-8-gpu-deepseek-v3-kv-fp8 --nightly --timeout-per-file 3600 ${{ inputs.continue_on_error && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# 8-GPU Kimi-K2.5 (Accuracy)
nightly-8-gpu-kimi-k25:
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-k25')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-kimi-k25,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -529,7 +523,7 @@ jobs:
exit ${TEST_EXIT_CODE:-0}
nightly-8-gpu-qwen3-235b:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-qwen3-235b')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-qwen3-235b,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -559,7 +553,7 @@ jobs:
# 8-GPU Qwen 3.5 (Accuracy)
nightly-8-gpu-qwen35:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-qwen35')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-qwen35,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -590,7 +584,7 @@ jobs:
exit ${TEST_EXIT_CODE:-0}
nightly-8-gpu-glm5:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-glm5')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-glm5,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -623,7 +617,7 @@ jobs:
# 8-GPU MiniMax-M2.5 (Accuracy)
nightly-8-gpu-minimax-m25:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-minimax-m25')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-minimax-m25,'))
runs-on: linux-mi325-8gpu-sglang
steps:
- name: Checkout code
@@ -655,7 +649,7 @@ jobs:
# ============================================== MI35x Tests ==============================================
# MI35x 1-GPU tests - platform-agnostic tests that may work on CDNA4 (gfx950)
nightly-test-1-gpu-mi35x:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-test-1-gpu-mi35x,'))
runs-on: linux-mi35x-gpu-1
steps:
- name: Checkout code
@@ -687,7 +681,7 @@ jobs:
# MI35x 8-GPU Accuracy Tests - GPT-OSS (accuracy only)
nightly-accuracy-8-gpu-mi35x:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-8-gpu-mi35x,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -719,7 +713,7 @@ jobs:
# MI35x 8-GPU Grok1-INT4 (Accuracy + Performance combined)
nightly-8-gpu-mi35x-grok1-int4:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-grok1-int4,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -765,7 +759,7 @@ jobs:
# MI35x 8-GPU Grok2 (Accuracy + Performance combined)
nightly-8-gpu-mi35x-grok2:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-grok2,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -811,7 +805,7 @@ jobs:
# MI35x 8-GPU DeepSeek-R1-MXFP4 (Accuracy + Performance combined)
nightly-8-gpu-mi35x-deepseek-r1-mxfp4:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -853,9 +847,97 @@ jobs:
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-R1-MXFP4 KV FP8 (Accuracy + Performance combined)
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh
# 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 (8-GPU DeepSeek-R1-MXFP4 KV FP8)
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-kv-fp8 --nightly --timeout-per-file 7200 ${{ inputs.continue_on_error && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test MI35x (8-GPU DeepSeek-R1-MXFP4 KV FP8)
timeout-minutes: 300
continue-on-error: true # Perf test failure doesn't fail the job if accuracy passed
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 registered/amd/perf/mi35x/test_deepseek_r1_mxfp4_kv_fp8_perf_mi35x.py || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-R1-MXFP4 AllReduce Fusion (Accuracy + Performance combined)
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Setup docker
run: |
touch github_summary.md
bash scripts/ci/amd/amd_ci_start_container.sh
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: |
bash scripts/ci/amd/amd_ci_install_dependency.sh
# 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 (8-GPU DeepSeek-R1-MXFP4 AllReduce Fusion)
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-ar-fusion --nightly --timeout-per-file 7200 ${{ inputs.continue_on_error && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
- name: Performance Test MI35x (8-GPU DeepSeek-R1-MXFP4 AllReduce Fusion)
timeout-minutes: 300
continue-on-error: true # Perf test failure doesn't fail the job if accuracy passed
run: |
> github_summary.md # Clear summary file
bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
python3 registered/amd/perf/mi35x/test_deepseek_r1_mxfp4_ar_fusion_perf_mi35x.py || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
# MI35x 8-GPU DeepSeek-V3.2 Accuracy Test
nightly-accuracy-8-gpu-mi35x-deepseek-v32:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-8-gpu-mi35x-deepseek-v32,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -888,7 +970,7 @@ jobs:
# MI35x 8-GPU DeepSeek-V3.2 TP+MTP Accuracy Test
nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -921,7 +1003,7 @@ jobs:
# MI35x 8-GPU DeepSeek-V3.2 Performance Test (Basic)
nightly-perf-8-gpu-mi35x-deepseek-v32-basic:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-perf-8-gpu-mi35x-deepseek-v32-basic,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -954,7 +1036,7 @@ jobs:
# MI35x 8-GPU Kimi-K2.5 (Accuracy)
nightly-8-gpu-mi35x-kimi-k25:
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-kimi-k25')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-kimi-k25,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -987,7 +1069,7 @@ jobs:
# MI35x 8-GPU Qwen3-235B-MXFP4 (Accuracy + Performance)
nightly-8-gpu-mi35x-qwen3-235b-mxfp4:
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-qwen3-235b-mxfp4')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-qwen3-235b-mxfp4,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1020,7 +1102,7 @@ jobs:
# MI35x 8-GPU Qwen 3.5 (Accuracy)
nightly-8-gpu-mi35x-qwen35:
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-qwen35')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-qwen35,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1052,7 +1134,7 @@ jobs:
exit ${TEST_EXIT_CODE:-0}
nightly-8-gpu-mi35x-glm5:
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-glm5')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-glm5,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1087,7 +1169,7 @@ jobs:
# MI35x 8-GPU MiniMax-M2.5 (Accuracy)
nightly-8-gpu-mi35x-minimax-m25:
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-minimax-m25')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-8-gpu-mi35x-minimax-m25,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1120,7 +1202,7 @@ jobs:
# MI35x 8-GPU DeepSeek-V3.2 Performance Test (MTP)
nightly-perf-8-gpu-mi35x-deepseek-v32-mtp:
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')
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || contains(format(',{0},', inputs.job_filter), ',nightly-perf-8-gpu-mi35x-deepseek-v32-mtp,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
@@ -1169,6 +1251,7 @@ jobs:
- nightly-8-gpu-deepseek-v31
- nightly-8-gpu-deepseek-v32
- nightly-8-gpu-deepseek-v32-mtp
- nightly-8-gpu-deepseek-v3-kv-fp8
- nightly-8-gpu-kimi-k25
- nightly-8-gpu-qwen3-235b
- nightly-8-gpu-qwen35
@@ -1180,6 +1263,8 @@ jobs:
- nightly-8-gpu-mi35x-grok1-int4
- nightly-8-gpu-mi35x-grok2
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion
- nightly-accuracy-8-gpu-mi35x-deepseek-v32
- nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp
- nightly-8-gpu-mi35x-kimi-k25

145
.github/workflows/pr-test-amd-rocm720.yml vendored
View File

@@ -28,7 +28,7 @@ on:
workflow_dispatch:
inputs:
target_stage:
description: "Specific stage to run (optional, for quick testing)"
description: "Specific stage(s) to run, comma-separated (e.g. 'stage-a-test-1-amd,stage-b-test-small-1-gpu-amd')"
required: false
type: string
default: ""
@@ -144,7 +144,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'sgl-kernel-unit-test-amd') ||
(contains(format(',{0},', inputs.target_stage), ',sgl-kernel-unit-test-amd,')) ||
(
!inputs.target_stage &&
needs.check-changes.outputs.sgl_kernel == 'true'
@@ -190,7 +190,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'sgl-kernel-unit-test-2-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',sgl-kernel-unit-test-2-gpu-amd,')) ||
(
!inputs.target_stage &&
needs.check-changes.outputs.sgl_kernel == 'true'
@@ -231,7 +231,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-a-test-1-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-a-test-1-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -270,7 +270,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'jit-kernel-unit-test-amd') ||
(contains(format(',{0},', inputs.target_stage), ',jit-kernel-unit-test-amd,')) ||
(
!inputs.target_stage &&
needs.check-changes.outputs.jit_kernel == 'true'
@@ -308,7 +308,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-small-1-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-small-1-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -319,7 +319,7 @@ jobs:
fail-fast: false
matrix:
runner: [linux-mi325-1gpu-sglang]
part: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
part: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
@@ -340,14 +340,14 @@ jobs:
- 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 ${{ inputs.continue_on_error && '--continue-on-error' || '' }}
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 14 --timeout-per-file 1800 ${{ inputs.continue_on_error && '--continue-on-error' || '' }}
stage-b-test-small-1-gpu-amd-nondeterministic:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-small-1-gpu-amd-nondeterministic') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-small-1-gpu-amd-nondeterministic,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -385,7 +385,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-small-1-gpu-amd-mi35x') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-small-1-gpu-amd-mi35x,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -423,7 +423,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-large-1-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-large-1-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -462,7 +462,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-large-2-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-large-2-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -501,7 +501,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'multimodal-gen-test-1-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',multimodal-gen-test-1-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -631,7 +631,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'multimodal-gen-test-2-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',multimodal-gen-test-2-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -760,7 +760,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-c-test-large-8-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-c-test-large-8-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -807,7 +807,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-c-test-large-8-gpu-amd-mi35x') ||
(contains(format(',{0},', inputs.target_stage), ',stage-c-test-large-8-gpu-amd-mi35x,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -841,6 +841,118 @@ jobs:
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 ${{ inputs.continue_on_error && '--continue-on-error' || '' }}
# =============================================== Disaggregation ====================================================
stage-b-test-large-8-gpu-35x-disaggregation-amd:
needs: [check-changes]
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-large-8-gpu-disaggregation-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-mi35x-gpu-8.fabric]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.pr_head_sha || inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ensure_vram_clear.sh rocm
- name: Check Host RDMA Environment
id: rdma_detect
run: |
set +e
echo "=== Checking Host RDMA Environment ==="
echo ""
echo "=== 1. Ionic driver library check ==="
ls -l /usr/lib/x86_64-linux-gnu/libibverbs/libionic* 2>/dev/null || echo "libionic not found in standard path"
echo ""
echo "=== 2. Infiniband devices ==="
ls -la /dev/infiniband/ 2>/dev/null || echo "/dev/infiniband not found"
ls -la /sys/class/infiniband/ 2>/dev/null || echo "/sys/class/infiniband not found"
echo ""
echo "=== 3. ibv_devinfo ==="
which ibv_devinfo 2>/dev/null && ibv_devinfo 2>&1 || echo "ibv_devinfo not available"
echo ""
echo "=== 4. Kernel modules ==="
lsmod 2>/dev/null | grep -E "ib_|rdma|ionic" || echo "No RDMA kernel modules loaded"
echo ""
echo "=== 5. Detect RDMA Devices for test environment ==="
if [ -d "/sys/class/infiniband" ]; then
RDMA_DEVS=$(ls /sys/class/infiniband | paste -sd "," -)
echo "Detected RDMA Devices: $RDMA_DEVS"
echo "SGLANG_TEST_RDMA_DEVICE=$RDMA_DEVS" >> $GITHUB_ENV
else
echo "No RDMA devices found in /sys/class/infiniband"
echo "SGLANG_TEST_RDMA_DEVICE=" >> $GITHUB_ENV
fi
echo ""
echo "=== Host RDMA Check Complete ==="
- name: Start Special Container
run: bash scripts/ci/amd/amd_ci_start_container_disagg.sh --rocm-version rocm720
env:
GITHUB_WORKSPACE: ${{ github.workspace }}
- name: Install dependencies
run: bash scripts/ci/amd/amd_ci_install_dependency.sh
- name: Verify RDMA in Container
run: |
docker exec -u root ci_sglang bash -c '
echo "=== Container RDMA Verification ==="
echo "Device nodes:"
ls -la /dev/infiniband/
echo ""
echo "Provider libraries:"
ls /usr/lib/x86_64-linux-gnu/libibverbs/ | grep -E "ionic|mlx" || echo "No Ionic/Mellanox providers"
echo ""
echo "HCA devices:"
HCA_COUNT=$(ibv_devinfo -list 2>&1 | grep -oE "^[0-9]+ HCAs? found" | grep -oE "^[0-9]+" || echo "0")
ibv_devinfo -list
if [ "$HCA_COUNT" -gt 0 ]; then
echo ""
echo "=== SUCCESS: RDMA setup complete. Found $HCA_COUNT HCA(s) ==="
else
echo ""
echo "=== WARNING: No HCAs detected. RDMA tests may fail ==="
fi
'
- name: Run Aiter Op Test (RMSNorm)
timeout-minutes: 10
run: |
echo "Running pre-check: test_rmsnorm2d.py"
docker exec \
-e MAX_JOBS=192 \
ci_sglang \
python /sgl-workspace/aiter/op_tests/test_rmsnorm2d.py
- name: Run test_disaggregation
timeout-minutes: 60
run: |
bash scripts/ci/amd/amd_ci_exec.sh \
-e SGLANG_TEST_RDMA_DEVICE="${{ env.SGLANG_TEST_RDMA_DEVICE }}" \
-w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-b-test-large-8-gpu-35x-disaggregation-amd --timeout-per-file 1800 ${{ inputs.continue_on_error && '--continue-on-error' || '' }}
pr-test-amd-finish:
needs:
[
@@ -859,6 +971,7 @@ jobs:
stage-b-test-small-1-gpu-amd-mi35x,
stage-b-test-large-1-gpu-amd,
stage-b-test-large-2-gpu-amd,
stage-b-test-large-8-gpu-35x-disaggregation-amd,
stage-c-test-large-8-gpu-amd,
stage-c-test-large-8-gpu-amd-mi35x,
]

46
.github/workflows/pr-test-amd.yml vendored
View File

@@ -25,7 +25,7 @@ on:
workflow_dispatch:
inputs:
target_stage:
description: "Specific stage to run (optional, for quick testing)"
description: "Specific stage(s) to run, comma-separated (e.g. 'stage-a-test-1-amd,stage-b-test-small-1-gpu-amd')"
required: false
type: string
default: ""
@@ -141,7 +141,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'sgl-kernel-unit-test-amd') ||
(contains(format(',{0},', inputs.target_stage), ',sgl-kernel-unit-test-amd,')) ||
(
!inputs.target_stage &&
needs.check-changes.outputs.sgl_kernel == 'true'
@@ -188,7 +188,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'sgl-kernel-unit-test-2-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',sgl-kernel-unit-test-2-gpu-amd,')) ||
(
!inputs.target_stage &&
needs.check-changes.outputs.sgl_kernel == 'true'
@@ -230,7 +230,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-a-test-1-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-a-test-1-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -270,7 +270,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'jit-kernel-unit-test-amd') ||
(contains(format(',{0},', inputs.target_stage), ',jit-kernel-unit-test-amd,')) ||
(
!inputs.target_stage &&
needs.check-changes.outputs.jit_kernel == 'true'
@@ -309,7 +309,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-small-1-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-small-1-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -349,7 +349,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-small-1-gpu-amd-nondeterministic') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-small-1-gpu-amd-nondeterministic,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -388,7 +388,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-small-1-gpu-amd-mi35x') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-small-1-gpu-amd-mi35x,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -427,7 +427,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-large-1-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-large-1-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -467,7 +467,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-large-2-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-large-2-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -504,7 +504,15 @@ jobs:
multimodal-gen-test-1-gpu-amd:
needs: [check-changes]
if: needs.check-changes.outputs.multimodal_gen == 'true'
if: |
always() &&
(
(contains(format(',{0},', inputs.target_stage), ',multimodal-gen-test-1-gpu-amd,')) ||
(
!inputs.target_stage &&
needs.check-changes.outputs.multimodal_gen == 'true'
)
)
strategy:
fail-fast: false
max-parallel: 1 # Run one at a time to avoid eviction from resource exhaustion during AITER kernel JIT
@@ -624,7 +632,15 @@ jobs:
multimodal-gen-test-2-gpu-amd:
needs: [check-changes]
if: needs.check-changes.outputs.multimodal_gen == 'true'
if: |
always() &&
(
(contains(format(',{0},', inputs.target_stage), ',multimodal-gen-test-2-gpu-amd,')) ||
(
!inputs.target_stage &&
needs.check-changes.outputs.multimodal_gen == 'true'
)
)
strategy:
fail-fast: false
max-parallel: 1 # Run one at a time to avoid eviction from resource exhaustion during AITER kernel JIT
@@ -746,7 +762,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-c-test-large-8-gpu-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-c-test-large-8-gpu-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -794,7 +810,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-c-test-large-8-gpu-amd-mi35x') ||
(contains(format(',{0},', inputs.target_stage), ',stage-c-test-large-8-gpu-amd-mi35x,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&
@@ -835,7 +851,7 @@ jobs:
if: |
always() &&
(
(inputs.target_stage == 'stage-b-test-large-8-gpu-disaggregation-amd') ||
(contains(format(',{0},', inputs.target_stage), ',stage-b-test-large-8-gpu-disaggregation-amd,')) ||
(
!inputs.target_stage &&
(!failure() && !cancelled()) &&

35
scripts/ci/amd/amd_ci_start_container_disagg.sh
View File

@@ -32,8 +32,14 @@ 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;;
--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 [--mi30x-base-tag TAG] [--mi35x-base-tag TAG] [--rocm-version VERSION]"
exit 0
;;
*) echo "Unknown option $1"; exit 1;;
@@ -134,12 +140,27 @@ 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

280
test/registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_ar_fusion_eval_mi35x.py Normal file
View File

@@ -0,0 +1,280 @@
"""MI35x DeepSeek-R1-MXFP4 GSM8K Completion Evaluation Test with AIter AllReduce Fusion (8-GPU)
Tests DeepSeek-R1-MXFP4 quantized model with --enable-aiter-allreduce-fusion
using few-shot completion benchmark on MI35x.
Registry: nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion suite
"""
import ast
import os
# Set HF cache for MI35x
os.environ.setdefault("HF_HOME", "/data2/models/huggingface")
os.environ.setdefault("HF_HUB_CACHE", "/data2/models/huggingface/hub")
import re
import time
import unittest
from dataclasses import dataclass
from typing import List, Optional, Tuple
import numpy as np
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_amd_ci
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
is_in_ci,
popen_launch_server,
write_github_step_summary,
)
from sglang.utils import download_and_cache_file, read_jsonl
# Register for AMD CI - MI35x DeepSeek-R1-MXFP4 AllReduce Fusion accuracy test (~60 min)
register_amd_ci(
est_time=3600,
suite="nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion",
nightly=True,
)
INVALID = -9999999
# Model path configuration for MI35x DeepSeek-R1-MXFP4
# Priority: 1) env var, 2) local path, 3) HuggingFace model ID
DEEPSEEK_R1_MXFP4_LOCAL_PATH = "/data2/models/amd-DeepSeek-R1-MXFP4-Preview"
DEEPSEEK_R1_MXFP4_HF_MODEL_ID = "amd/DeepSeek-R1-MXFP4-Preview"
def get_model_path() -> str:
"""Get effective model path: env var > local path > HF model ID."""
env_path = os.environ.get("DEEPSEEK_R1_MXFP4_MODEL_PATH")
if env_path:
return env_path
if os.path.exists(DEEPSEEK_R1_MXFP4_LOCAL_PATH):
return DEEPSEEK_R1_MXFP4_LOCAL_PATH
return DEEPSEEK_R1_MXFP4_HF_MODEL_ID
@dataclass
class ModelConfig:
"""Configuration for a model to test."""
model_path: str
tp_size: int = 8
accuracy_threshold: float = 0.50
other_args: Optional[List[str]] = None
env_vars: Optional[dict] = None
timeout: Optional[int] = None
variant: Optional[str] = None
def __post_init__(self):
if self.other_args is None:
self.other_args = []
if self.env_vars is None:
self.env_vars = {}
def get_display_name(self) -> str:
if self.variant:
return f"{self.model_path} ({self.variant})"
return self.model_path
def get_mxfp4_models() -> List[ModelConfig]:
"""Get DeepSeek-R1-MXFP4 model configurations for MI35x with AllReduce Fusion."""
model_path = get_model_path()
return [
ModelConfig(
model_path=model_path,
tp_size=8,
accuracy_threshold=0.93,
timeout=3600,
variant="ar-fusion",
other_args=[
"--attention-backend",
"aiter",
"--chunked-prefill-size",
"131072",
"--disable-radix-cache",
"--mem-fraction-static",
"0.85",
"--trust-remote-code",
"--enable-aiter-allreduce-fusion",
],
env_vars={"SGLANG_USE_AITER": "1"},
),
]
def get_one_example(lines, i, include_answer):
"""Format a single GSM8K example."""
ret = "Question: " + lines[i]["question"] + "\nAnswer:"
if include_answer:
ret += " " + lines[i]["answer"]
return ret
def get_few_shot_examples(lines, k):
"""Get k few-shot examples for prompting."""
ret = ""
for i in range(k):
ret += get_one_example(lines, i, True) + "\n\n"
return ret
def get_answer_value(answer_str):
"""Extract numerical answer from response."""
answer_str = answer_str.replace(",", "")
numbers = re.findall(r"\d+", answer_str)
if len(numbers) < 1:
return INVALID
try:
return ast.literal_eval(numbers[-1])
except SyntaxError:
return INVALID
def run_gsm8k_benchmark(
base_url: str,
num_questions: int = 200,
num_shots: int = 5,
parallel: int = 64,
) -> Tuple[float, float, float]:
"""Run GSM8K few-shot completion benchmark."""
import sglang as sgl
from sglang.lang.backend.runtime_endpoint import RuntimeEndpoint
url = "https://raw.githubusercontent.com/openai/grade-school-math/master/grade_school_math/data/test.jsonl"
data_path = download_and_cache_file(url)
lines = list(read_jsonl(data_path))
few_shot_examples = get_few_shot_examples(lines, num_shots)
questions = []
labels = []
for i in range(len(lines[:num_questions])):
questions.append(get_one_example(lines, i, False))
labels.append(get_answer_value(lines[i]["answer"]))
assert all(l != INVALID for l in labels)
arguments = [{"question": q} for q in questions]
@sgl.function
def few_shot_gsm8k(s, question):
s += few_shot_examples + question
s += sgl.gen(
"answer", max_tokens=512, stop=["Question", "Assistant:", "<|separator|>"]
)
backend = RuntimeEndpoint(base_url)
sgl.set_default_backend(backend)
tic = time.perf_counter()
states = few_shot_gsm8k.run_batch(
arguments, temperature=0, num_threads=parallel, progress_bar=True
)
latency = time.perf_counter() - tic
preds = [get_answer_value(states[i]["answer"]) for i in range(len(states))]
acc = np.mean(np.array(preds) == np.array(labels))
invalid = np.mean(np.array(preds) == INVALID)
return float(acc), float(invalid), float(latency)
class TestDeepSeekR1MXFP4ArFusionEvalMI35x(unittest.TestCase):
"""DeepSeek-R1-MXFP4 GSM8K Evaluation with AllReduce Fusion for AMD MI35x."""
@classmethod
def setUpClass(cls):
cls.models = get_mxfp4_models()
cls.base_url = DEFAULT_URL_FOR_TEST
cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "200"))
def test_deepseek_r1_mxfp4_ar_fusion_accuracy(self):
"""Test DeepSeek-R1-MXFP4 models with AllReduce Fusion on GSM8K."""
# Check if model exists
model_path = get_model_path()
is_local_path = model_path.startswith("/")
if is_local_path and not os.path.exists(model_path):
print(f"\n⏭️ SKIPPING: Local model not found at {model_path}")
self.skipTest(f"Local model not found at {model_path}")
return
if is_local_path:
print(f"📁 Using local model: {model_path}")
else:
print(f"📥 Using HuggingFace model: {model_path}")
all_results = []
summary = "### DeepSeek-R1-MXFP4 AllReduce Fusion Models (MI35x)\n\n"
summary += "| Model | Variant | TP | Accuracy | Threshold | Status |\n"
summary += "| ----- | ------- | -- | -------- | --------- | ------ |\n"
for config in self.models:
display_name = config.get_display_name()
with self.subTest(model=display_name):
print(f"\n{'='*60}")
print(f"Testing: {display_name}")
print(f"{'='*60}")
env = os.environ.copy()
for key, value in config.env_vars.items():
env[key] = value
other_args = list(config.other_args)
other_args.extend(["--tp", str(config.tp_size)])
timeout = config.timeout or DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
try:
process = popen_launch_server(
model=config.model_path,
base_url=self.base_url,
timeout=timeout,
other_args=other_args,
env=env,
)
try:
acc, invalid, latency = run_gsm8k_benchmark(
self.base_url, num_questions=self.num_questions
)
passed = acc >= config.accuracy_threshold
status = "✅ PASS" if passed else "❌ FAIL"
print(
f" accuracy={acc:.3f} threshold={config.accuracy_threshold} {status}"
)
all_results.append(
{
"model": display_name,
"accuracy": acc,
"passed": passed,
}
)
summary += f"| {config.model_path} | {config.variant or 'N/A'} | {config.tp_size} | {acc:.3f} | {config.accuracy_threshold} | {status} |\n"
finally:
kill_process_tree(process.pid)
except Exception as e:
summary += f"| {config.model_path} | {config.variant or 'N/A'} | {config.tp_size} | N/A | {config.accuracy_threshold} | ❌ ERROR |\n"
all_results.append(
{
"model": display_name,
"accuracy": None,
"passed": False,
"error": str(e),
}
)
if is_in_ci():
write_github_step_summary(summary)
failed = [r for r in all_results if not r["passed"]]
if failed:
raise AssertionError(f"Failed models: {[r['model'] for r in failed]}")
if __name__ == "__main__":
unittest.main()

281
test/registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_kv_fp8_eval_mi35x.py Normal file
View File

@@ -0,0 +1,281 @@
"""MI35x DeepSeek-R1-MXFP4 GSM8K Completion Evaluation Test with KV Cache FP8 (8-GPU)
Tests DeepSeek-R1-MXFP4 quantized model with --kv-cache-dtype fp8_e4m3
using few-shot completion benchmark on MI35x.
Registry: nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8 suite
"""
import ast
import os
# Set HF cache for MI35x
os.environ.setdefault("HF_HOME", "/data2/models/huggingface")
os.environ.setdefault("HF_HUB_CACHE", "/data2/models/huggingface/hub")
import re
import time
import unittest
from dataclasses import dataclass
from typing import List, Optional, Tuple
import numpy as np
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_amd_ci
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
is_in_ci,
popen_launch_server,
write_github_step_summary,
)
from sglang.utils import download_and_cache_file, read_jsonl
# Register for AMD CI - MI35x DeepSeek-R1-MXFP4 KV FP8 accuracy test (~60 min)
register_amd_ci(
est_time=3600,
suite="nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8",
nightly=True,
)
INVALID = -9999999
# Model path configuration for MI35x DeepSeek-R1-MXFP4
# Priority: 1) env var, 2) local path, 3) HuggingFace model ID
DEEPSEEK_R1_MXFP4_LOCAL_PATH = "/data2/models/amd-DeepSeek-R1-MXFP4-Preview"
DEEPSEEK_R1_MXFP4_HF_MODEL_ID = "amd/DeepSeek-R1-MXFP4-Preview"
def get_model_path() -> str:
"""Get effective model path: env var > local path > HF model ID."""
env_path = os.environ.get("DEEPSEEK_R1_MXFP4_MODEL_PATH")
if env_path:
return env_path
if os.path.exists(DEEPSEEK_R1_MXFP4_LOCAL_PATH):
return DEEPSEEK_R1_MXFP4_LOCAL_PATH
return DEEPSEEK_R1_MXFP4_HF_MODEL_ID
@dataclass
class ModelConfig:
"""Configuration for a model to test."""
model_path: str
tp_size: int = 8
accuracy_threshold: float = 0.50
other_args: Optional[List[str]] = None
env_vars: Optional[dict] = None
timeout: Optional[int] = None
variant: Optional[str] = None
def __post_init__(self):
if self.other_args is None:
self.other_args = []
if self.env_vars is None:
self.env_vars = {}
def get_display_name(self) -> str:
if self.variant:
return f"{self.model_path} ({self.variant})"
return self.model_path
def get_mxfp4_models() -> List[ModelConfig]:
"""Get DeepSeek-R1-MXFP4 model configurations for MI35x with KV cache FP8."""
model_path = get_model_path()
return [
ModelConfig(
model_path=model_path,
tp_size=8,
accuracy_threshold=0.93,
timeout=3600,
variant="kv-fp8",
other_args=[
"--attention-backend",
"aiter",
"--chunked-prefill-size",
"131072",
"--disable-radix-cache",
"--mem-fraction-static",
"0.85",
"--trust-remote-code",
"--kv-cache-dtype",
"fp8_e4m3",
],
env_vars={"SGLANG_USE_AITER": "1"},
),
]
def get_one_example(lines, i, include_answer):
"""Format a single GSM8K example."""
ret = "Question: " + lines[i]["question"] + "\nAnswer:"
if include_answer:
ret += " " + lines[i]["answer"]
return ret
def get_few_shot_examples(lines, k):
"""Get k few-shot examples for prompting."""
ret = ""
for i in range(k):
ret += get_one_example(lines, i, True) + "\n\n"
return ret
def get_answer_value(answer_str):
"""Extract numerical answer from response."""
answer_str = answer_str.replace(",", "")
numbers = re.findall(r"\d+", answer_str)
if len(numbers) < 1:
return INVALID
try:
return ast.literal_eval(numbers[-1])
except SyntaxError:
return INVALID
def run_gsm8k_benchmark(
base_url: str,
num_questions: int = 200,
num_shots: int = 5,
parallel: int = 64,
) -> Tuple[float, float, float]:
"""Run GSM8K few-shot completion benchmark."""
import sglang as sgl
from sglang.lang.backend.runtime_endpoint import RuntimeEndpoint
url = "https://raw.githubusercontent.com/openai/grade-school-math/master/grade_school_math/data/test.jsonl"
data_path = download_and_cache_file(url)
lines = list(read_jsonl(data_path))
few_shot_examples = get_few_shot_examples(lines, num_shots)
questions = []
labels = []
for i in range(len(lines[:num_questions])):
questions.append(get_one_example(lines, i, False))
labels.append(get_answer_value(lines[i]["answer"]))
assert all(l != INVALID for l in labels)
arguments = [{"question": q} for q in questions]
@sgl.function
def few_shot_gsm8k(s, question):
s += few_shot_examples + question
s += sgl.gen(
"answer", max_tokens=512, stop=["Question", "Assistant:", "<|separator|>"]
)
backend = RuntimeEndpoint(base_url)
sgl.set_default_backend(backend)
tic = time.perf_counter()
states = few_shot_gsm8k.run_batch(
arguments, temperature=0, num_threads=parallel, progress_bar=True
)
latency = time.perf_counter() - tic
preds = [get_answer_value(states[i]["answer"]) for i in range(len(states))]
acc = np.mean(np.array(preds) == np.array(labels))
invalid = np.mean(np.array(preds) == INVALID)
return float(acc), float(invalid), float(latency)
class TestDeepSeekR1MXFP4KvFp8EvalMI35x(unittest.TestCase):
"""DeepSeek-R1-MXFP4 GSM8K Evaluation with KV Cache FP8 for AMD MI35x."""
@classmethod
def setUpClass(cls):
cls.models = get_mxfp4_models()
cls.base_url = DEFAULT_URL_FOR_TEST
cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "200"))
def test_deepseek_r1_mxfp4_kv_fp8_accuracy(self):
"""Test DeepSeek-R1-MXFP4 models with KV cache FP8 on GSM8K."""
# Check if model exists
model_path = get_model_path()
is_local_path = model_path.startswith("/")
if is_local_path and not os.path.exists(model_path):
print(f"\n⏭️ SKIPPING: Local model not found at {model_path}")
self.skipTest(f"Local model not found at {model_path}")
return
if is_local_path:
print(f"📁 Using local model: {model_path}")
else:
print(f"📥 Using HuggingFace model: {model_path}")
all_results = []
summary = "### DeepSeek-R1-MXFP4 KV FP8 Models (MI35x)\n\n"
summary += "| Model | Variant | TP | Accuracy | Threshold | Status |\n"
summary += "| ----- | ------- | -- | -------- | --------- | ------ |\n"
for config in self.models:
display_name = config.get_display_name()
with self.subTest(model=display_name):
print(f"\n{'='*60}")
print(f"Testing: {display_name}")
print(f"{'='*60}")
env = os.environ.copy()
for key, value in config.env_vars.items():
env[key] = value
other_args = list(config.other_args)
other_args.extend(["--tp", str(config.tp_size)])
timeout = config.timeout or DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
try:
process = popen_launch_server(
model=config.model_path,
base_url=self.base_url,
timeout=timeout,
other_args=other_args,
env=env,
)
try:
acc, invalid, latency = run_gsm8k_benchmark(
self.base_url, num_questions=self.num_questions
)
passed = acc >= config.accuracy_threshold
status = "✅ PASS" if passed else "❌ FAIL"
print(
f" accuracy={acc:.3f} threshold={config.accuracy_threshold} {status}"
)
all_results.append(
{
"model": display_name,
"accuracy": acc,
"passed": passed,
}
)
summary += f"| {config.model_path} | {config.variant or 'N/A'} | {config.tp_size} | {acc:.3f} | {config.accuracy_threshold} | {status} |\n"
finally:
kill_process_tree(process.pid)
except Exception as e:
summary += f"| {config.model_path} | {config.variant or 'N/A'} | {config.tp_size} | N/A | {config.accuracy_threshold} | ❌ ERROR |\n"
all_results.append(
{
"model": display_name,
"accuracy": None,
"passed": False,
"error": str(e),
}
)
if is_in_ci():
write_github_step_summary(summary)
failed = [r for r in all_results if not r["passed"]]
if failed:
raise AssertionError(f"Failed models: {[r['model'] for r in failed]}")
if __name__ == "__main__":
unittest.main()

177
test/registered/amd/perf/mi35x/test_deepseek_r1_mxfp4_ar_fusion_perf_mi35x.py Normal file
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"""MI35x Nightly performance benchmark for DeepSeek-R1-MXFP4 model with AIter AllReduce Fusion.
This test benchmarks the DeepSeek-R1-MXFP4 quantized model on MI35x with 8 GPUs
using --enable-aiter-allreduce-fusion.
The model path can be configured via DEEPSEEK_R1_MXFP4_MODEL_PATH environment variable.
Registry: nightly-perf-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion suite
Example usage:
DEEPSEEK_R1_MXFP4_MODEL_PATH=/data2/models/amd-DeepSeek-R1-MXFP4-Preview python -m pytest test_deepseek_r1_mxfp4_ar_fusion_perf_mi35x.py -v
"""
import os
# Set HF cache to /data2/models/ for MI35x so HF models download there
os.environ.setdefault("HF_HOME", "/data2/models/huggingface")
os.environ.setdefault("HF_HUB_CACHE", "/data2/models/huggingface/hub")
import unittest
from typing import List
from sglang.test.ci.ci_register import register_amd_ci
from sglang.test.nightly_bench_utils import BenchmarkResult
from sglang.test.nightly_utils import NightlyBenchmarkRunner
from sglang.test.test_utils import DEFAULT_URL_FOR_TEST, _parse_int_list_env
# Register for AMD CI - DeepSeek-R1-MXFP4 AllReduce Fusion benchmark on MI35x (~300 min)
register_amd_ci(
est_time=18000,
suite="nightly-perf-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion",
nightly=True,
)
def generate_simple_markdown_report(results: List[BenchmarkResult]) -> str:
"""Generate a simplified markdown report without traces and cost columns.
Skips the first result if it's a warmup run (duplicate batch_size).
"""
model_header = results[0].model_path
if results[0].run_name and results[0].run_name != "default":
model_header += f" ({results[0].run_name})"
gpu_config = os.getenv("GPU_CONFIG", "MI35x")
if gpu_config:
model_header += f" [{gpu_config}]"
summary = f"### {model_header}\n"
summary += "| batch size | input len | latency (s) | input throughput (tok/s) | output throughput (tok/s) | ITL (ms) |\n"
summary += "| ---------- | --------- | ----------- | ------------------------ | ------------------------- | -------- |\n"
# Skip first result if it's a warmup (same batch_size as second result)
report_results = (
results[1:]
if len(results) > 1 and results[0].batch_size == results[1].batch_size
else results
)
for result in report_results:
itl = 1 / (result.output_throughput / result.batch_size) * 1000
summary += f"| {result.batch_size} | {result.input_len} | {result.latency:.2f} | {result.input_throughput:.2f} | {result.output_throughput:.2f} | {itl:.2f} |\n"
return summary
# Model path configuration for MI35x DeepSeek-R1-MXFP4
# Priority: 1) env var, 2) local path, 3) HuggingFace model ID
DEEPSEEK_R1_MXFP4_LOCAL_PATH = "/data2/models/amd-DeepSeek-R1-MXFP4-Preview"
DEEPSEEK_R1_MXFP4_HF_MODEL_ID = "amd/DeepSeek-R1-MXFP4-Preview"
PROFILE_DIR = "performance_profiles_deepseek_r1_mxfp4_ar_fusion_mi35x"
def get_model_path() -> str:
"""Get effective model path: env var > local path > HF model ID."""
# Check env var first
env_path = os.environ.get("DEEPSEEK_R1_MXFP4_MODEL_PATH")
if env_path:
return env_path
# Check local path
if os.path.exists(DEEPSEEK_R1_MXFP4_LOCAL_PATH):
return DEEPSEEK_R1_MXFP4_LOCAL_PATH
# Fall back to HF model ID
return DEEPSEEK_R1_MXFP4_HF_MODEL_ID
class TestDeepseekR1MXFP4ArFusionPerfMI35x(unittest.TestCase):
"""MI35x Nightly performance benchmark for DeepSeek-R1-MXFP4 with AllReduce Fusion.
Tests the DeepSeek-R1-MXFP4 quantized model on TP=8 with --enable-aiter-allreduce-fusion.
Uses local path if available, otherwise downloads from HuggingFace.
"""
@classmethod
def setUpClass(cls):
cls.model = get_model_path()
print(f"Using model path: {cls.model}")
cls.base_url = DEFAULT_URL_FOR_TEST
cls.batch_sizes = [1, 8, 16, 64]
cls.input_lens = tuple(_parse_int_list_env("NIGHTLY_INPUT_LENS", "4096"))
cls.output_lens = tuple(_parse_int_list_env("NIGHTLY_OUTPUT_LENS", "512"))
cls.variants = [
{
"name": "ar-fusion",
"other_args": [
"--trust-remote-code",
"--tp",
"8",
"--chunked-prefill-size",
"131072",
"--disable-radix-cache",
"--mem-fraction-static",
"0.85",
"--enable-aiter-allreduce-fusion",
],
},
]
cls.runner = NightlyBenchmarkRunner(PROFILE_DIR, cls.__name__, cls.base_url)
cls.runner.setup_profile_directory()
cls.runner.full_report = f"## {cls.__name__}\n"
def test_bench_one_batch(self):
"""Run benchmark across all configured variants."""
failed_variants = []
is_local_path = self.model.startswith("/")
if is_local_path and not os.path.exists(self.model):
print(f"\n⏭️ SKIPPING: Local model not found at {self.model}")
self.runner.full_report += (
f"\n⏭️ Test skipped: Local model not found at {self.model}\n"
)
self.runner.write_final_report()
return
if is_local_path:
print(f"📁 Using local model: {self.model}")
else:
print(
f"📥 Using HuggingFace model: {self.model} (will download if not cached)"
)
try:
for variant_config in self.variants:
with self.subTest(variant=variant_config["name"]):
result_tuple = self.runner.run_benchmark_for_model(
model_path=self.model,
batch_sizes=self.batch_sizes,
input_lens=self.input_lens,
output_lens=self.output_lens,
other_args=variant_config["other_args"],
variant=variant_config["name"],
extra_bench_args=["--trust-remote-code"],
enable_profile=False,
)
results = result_tuple[0]
success = result_tuple[1]
if not success:
failed_variants.append(variant_config["name"])
if results:
self.runner.full_report += (
generate_simple_markdown_report(results) + "\n"
)
finally:
self.runner.write_final_report()
if failed_variants:
raise AssertionError(
f"Benchmark failed for {self.model} with the following variants: "
f"{', '.join(failed_variants)}"
)
if __name__ == "__main__":
unittest.main()

178
test/registered/amd/perf/mi35x/test_deepseek_r1_mxfp4_kv_fp8_perf_mi35x.py Normal file
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"""MI35x Nightly performance benchmark for DeepSeek-R1-MXFP4 model with KV Cache FP8.
This test benchmarks the DeepSeek-R1-MXFP4 quantized model on MI35x with 8 GPUs
using --kv-cache-dtype fp8_e4m3.
The model path can be configured via DEEPSEEK_R1_MXFP4_MODEL_PATH environment variable.
Registry: nightly-perf-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8 suite
Example usage:
DEEPSEEK_R1_MXFP4_MODEL_PATH=/data2/models/amd-DeepSeek-R1-MXFP4-Preview python -m pytest test_deepseek_r1_mxfp4_kv_fp8_perf_mi35x.py -v
"""
import os
# Set HF cache to /data2/models/ for MI35x so HF models download there
os.environ.setdefault("HF_HOME", "/data2/models/huggingface")
os.environ.setdefault("HF_HUB_CACHE", "/data2/models/huggingface/hub")
import unittest
from typing import List
from sglang.test.ci.ci_register import register_amd_ci
from sglang.test.nightly_bench_utils import BenchmarkResult
from sglang.test.nightly_utils import NightlyBenchmarkRunner
from sglang.test.test_utils import DEFAULT_URL_FOR_TEST, _parse_int_list_env
# Register for AMD CI - DeepSeek-R1-MXFP4 KV FP8 benchmark on MI35x (~300 min)
register_amd_ci(
est_time=18000,
suite="nightly-perf-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8",
nightly=True,
)
def generate_simple_markdown_report(results: List[BenchmarkResult]) -> str:
"""Generate a simplified markdown report without traces and cost columns.
Skips the first result if it's a warmup run (duplicate batch_size).
"""
model_header = results[0].model_path
if results[0].run_name and results[0].run_name != "default":
model_header += f" ({results[0].run_name})"
gpu_config = os.getenv("GPU_CONFIG", "MI35x")
if gpu_config:
model_header += f" [{gpu_config}]"
summary = f"### {model_header}\n"
summary += "| batch size | input len | latency (s) | input throughput (tok/s) | output throughput (tok/s) | ITL (ms) |\n"
summary += "| ---------- | --------- | ----------- | ------------------------ | ------------------------- | -------- |\n"
# Skip first result if it's a warmup (same batch_size as second result)
report_results = (
results[1:]
if len(results) > 1 and results[0].batch_size == results[1].batch_size
else results
)
for result in report_results:
itl = 1 / (result.output_throughput / result.batch_size) * 1000
summary += f"| {result.batch_size} | {result.input_len} | {result.latency:.2f} | {result.input_throughput:.2f} | {result.output_throughput:.2f} | {itl:.2f} |\n"
return summary
# Model path configuration for MI35x DeepSeek-R1-MXFP4
# Priority: 1) env var, 2) local path, 3) HuggingFace model ID
DEEPSEEK_R1_MXFP4_LOCAL_PATH = "/data2/models/amd-DeepSeek-R1-MXFP4-Preview"
DEEPSEEK_R1_MXFP4_HF_MODEL_ID = "amd/DeepSeek-R1-MXFP4-Preview"
PROFILE_DIR = "performance_profiles_deepseek_r1_mxfp4_kv_fp8_mi35x"
def get_model_path() -> str:
"""Get effective model path: env var > local path > HF model ID."""
# Check env var first
env_path = os.environ.get("DEEPSEEK_R1_MXFP4_MODEL_PATH")
if env_path:
return env_path
# Check local path
if os.path.exists(DEEPSEEK_R1_MXFP4_LOCAL_PATH):
return DEEPSEEK_R1_MXFP4_LOCAL_PATH
# Fall back to HF model ID
return DEEPSEEK_R1_MXFP4_HF_MODEL_ID
class TestDeepseekR1MXFP4KvFp8PerfMI35x(unittest.TestCase):
"""MI35x Nightly performance benchmark for DeepSeek-R1-MXFP4 with KV Cache FP8.
Tests the DeepSeek-R1-MXFP4 quantized model on TP=8 with --kv-cache-dtype fp8_e4m3.
Uses local path if available, otherwise downloads from HuggingFace.
"""
@classmethod
def setUpClass(cls):
cls.model = get_model_path()
print(f"Using model path: {cls.model}")
cls.base_url = DEFAULT_URL_FOR_TEST
cls.batch_sizes = [1, 8, 16, 64]
cls.input_lens = tuple(_parse_int_list_env("NIGHTLY_INPUT_LENS", "4096"))
cls.output_lens = tuple(_parse_int_list_env("NIGHTLY_OUTPUT_LENS", "512"))
cls.variants = [
{
"name": "kv-fp8",
"other_args": [
"--trust-remote-code",
"--tp",
"8",
"--chunked-prefill-size",
"131072",
"--disable-radix-cache",
"--mem-fraction-static",
"0.85",
"--kv-cache-dtype",
"fp8_e4m3",
],
},
]
cls.runner = NightlyBenchmarkRunner(PROFILE_DIR, cls.__name__, cls.base_url)
cls.runner.setup_profile_directory()
cls.runner.full_report = f"## {cls.__name__}\n"
def test_bench_one_batch(self):
"""Run benchmark across all configured variants."""
failed_variants = []
is_local_path = self.model.startswith("/")
if is_local_path and not os.path.exists(self.model):
print(f"\n⏭️ SKIPPING: Local model not found at {self.model}")
self.runner.full_report += (
f"\n⏭️ Test skipped: Local model not found at {self.model}\n"
)
self.runner.write_final_report()
return
if is_local_path:
print(f"📁 Using local model: {self.model}")
else:
print(
f"📥 Using HuggingFace model: {self.model} (will download if not cached)"
)
try:
for variant_config in self.variants:
with self.subTest(variant=variant_config["name"]):
result_tuple = self.runner.run_benchmark_for_model(
model_path=self.model,
batch_sizes=self.batch_sizes,
input_lens=self.input_lens,
output_lens=self.output_lens,
other_args=variant_config["other_args"],
variant=variant_config["name"],
extra_bench_args=["--trust-remote-code"],
enable_profile=False,
)
results = result_tuple[0]
success = result_tuple[1]
if not success:
failed_variants.append(variant_config["name"])
if results:
self.runner.full_report += (
generate_simple_markdown_report(results) + "\n"
)
finally:
self.runner.write_final_report()
if failed_variants:
raise AssertionError(
f"Benchmark failed for {self.model} with the following variants: "
f"{', '.join(failed_variants)}"
)
if __name__ == "__main__":
unittest.main()

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test/registered/amd/test_deepseek_v3_basic_kv_fp8.py Normal file
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import unittest
from types import SimpleNamespace
from sglang.srt.utils import kill_process_tree
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_amd_ci,
is_in_ci,
popen_launch_server,
write_github_step_summary,
)
register_amd_ci(
est_time=1200, suite="nightly-amd-8-gpu-deepseek-v3-kv-fp8", nightly=True
)
FULL_DEEPSEEK_V3_MODEL_PATH = "deepseek-ai/DeepSeek-V3-0324"
class TestDeepseekV3BasicKvFp8(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = FULL_DEEPSEEK_V3_MODEL_PATH
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = [
"--trust-remote-code",
"--tp",
"8",
"--kv-cache-dtype",
"fp8_e4m3",
"--model-loader-extra-config",
'{"enable_multithread_load": true, "num_threads": 64}',
]
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH * 5,
other_args=other_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_a_gsm8k(
self,
): # Append an "a" to make this test run first (alphabetically) to warm up the server
args = SimpleNamespace(
num_shots=8,
data_path=None,
num_questions=1400,
parallel=1400,
max_new_tokens=512,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval_few_shot_gsm8k(args)
print(f"{metrics=}")
if is_in_ci():
write_github_step_summary(
f"### test_gsm8k (deepseek-v3 kv-fp8)\n" f'{metrics["accuracy"]=:.3f}\n'
)
self.assertGreater(metrics["accuracy"], 0.93)
def test_bs_1_speed(self):
args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
acc_length, speed = send_one_prompt(args)
print(f"{speed=:.2f}")
if is_in_ci():
write_github_step_summary(
f"### test_bs_1_speed (deepseek-v3 kv-fp8)\n" f"{speed=:.2f} token/s\n"
)
if is_in_amd_ci():
self.assertGreater(speed, 40)
if __name__ == "__main__":
unittest.main()

116
test/registered/amd/test_deepseek_v3_mtp_kv_fp8.py Normal file
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import unittest
from types import SimpleNamespace
import requests
from sglang.srt.utils import kill_process_tree
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_amd_ci,
is_in_ci,
popen_launch_server,
write_github_step_summary,
)
register_amd_ci(
est_time=1200, suite="nightly-amd-8-gpu-deepseek-v3-kv-fp8", nightly=True
)
FULL_DEEPSEEK_V3_MODEL_PATH = "deepseek-ai/DeepSeek-V3-0324"
class TestDeepseekV3MTPKvFp8(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = FULL_DEEPSEEK_V3_MODEL_PATH
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = [
"--tp",
"8",
"--trust-remote-code",
"--kv-cache-dtype",
"fp8_e4m3",
"--speculative-algorithm",
"EAGLE",
"--speculative-num-steps",
"3",
"--speculative-eagle-topk",
"1",
"--speculative-num-draft-tokens",
"4",
"--model-loader-extra-config",
'{"enable_multithread_load": true, "num_threads": 64}',
]
if not is_in_amd_ci():
other_args += ["--mem-frac", "0.7"]
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH * 5,
other_args=other_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_a_gsm8k(
self,
): # Append an "a" to make this test run first (alphabetically) to warm up the server
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval_few_shot_gsm8k(args)
print(f"{metrics=}")
server_info = requests.get(self.base_url + "/get_server_info")
avg_spec_accept_length = server_info.json()["internal_states"][0][
"avg_spec_accept_length"
]
print(f"{avg_spec_accept_length=}")
if is_in_ci():
write_github_step_summary(
f"### test_gsm8k (deepseek-v3 mtp kv-fp8)\n"
f'{metrics["accuracy"]=:.3f}\n'
f"{avg_spec_accept_length=:.2f}\n"
)
self.assertGreater(metrics["accuracy"], 0.93)
if is_in_amd_ci():
self.assertGreater(avg_spec_accept_length, 2.8)
def test_bs_1_speed(self):
args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
acc_length, speed = send_one_prompt(args)
print(f"{acc_length=:.2f} {speed=:.2f}")
if is_in_ci():
write_github_step_summary(
f"### test_bs_1_speed (deepseek-v3 mtp kv-fp8)\n"
f"{acc_length=:.2f}\n"
f"{speed=:.2f} token/s\n"
)
if is_in_amd_ci():
self.assertGreater(acc_length, 2.8)
else:
self.assertGreater(acc_length, 2.9)
if is_in_amd_ci():
self.assertGreater(speed, 90)
if __name__ == "__main__":
unittest.main()

3
test/registered/ops/test_aiter_allreduce_fusion_amd.py
View File

@@ -10,8 +10,7 @@ import torch
from sglang.test.ci.ci_register import register_amd_ci
# Dedicated AMD 8-GPU suite for AITER fused allreduce+rmsnorm validation.
register_amd_ci(est_time=240, suite="stage-c-test-aiter-fusion-8-gpu-amd")
register_amd_ci(est_time=240, suite="stage-c-test-large-8-gpu-amd")
class TestAiterAllreduceFusionAmd(unittest.TestCase):

2
test/run_suite.py
View File

@@ -26,7 +26,7 @@ PER_COMMIT_SUITES = {
"stage-b-test-large-8-gpu-35x-disaggregation-amd",
"stage-b-test-large-1-gpu-amd",
"stage-b-test-large-2-gpu-amd",
"stage-c-test-aiter-fusion-8-gpu-amd",
"stage-c-test-large-8-gpu-amd",
"stage-c-test-large-8-gpu-amd-mi35x",
],
HWBackend.CUDA: [