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

Co-authored-by: bingxche <Bingxu.Chen@amd.com>
2026-03-05 07:09:57 -08:00
parent 0de0d74195
commit b5edab57f2
13 changed files with 1614 additions and 177 deletions
@@ -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
@@ -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
@@ -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,
      ]
@@ -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()) &&
@@ -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
+  echo "Using hard-coded fallback for ${ROCM_VERSION}…" >&2
  case "${ROCM_VERSION}" in
    rocm720)
      if [[ "${gpu_arch}" == "mi35x" ]]; then
-    echo "rocm/sgl-dev:v0.5.5-rocm700-mi35x-20251110"
+        echo "rocm/sgl-dev:v0.5.8.post1-rocm720-mi35x-20260211-preview"
      else
-    echo "rocm/sgl-dev:v0.5.5-rocm700-mi30x-20251110"
+        echo "rocm/sgl-dev:v0.5.8.post1-rocm720-mi30x-20260211-preview"
      fi
      ;;
    rocm700)
      if [[ "${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
@@ -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()
@@ -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()
@@ -0,0 +1,177 @@
 """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()
@@ -0,0 +1,178 @@
 """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()
@@ -0,0 +1,86 @@
 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()
@@ -0,0 +1,116 @@
 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()
@@ -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-large-8-gpu-amd")
 register_amd_ci(est_time=240, suite="stage-c-test-aiter-fusion-8-gpu-amd")
 class TestAiterAllreduceFusionAmd(unittest.TestCase):
@@ -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: [