[AMD] ci: add extra-a 1-gpu-large tier (fp8kv-triton, streaming-session, spec-standalone) (#28458)
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@@ -10,12 +10,13 @@ name: PR Test Extra (AMD)
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# runs unconditionally on workflow_dispatch / workflow_call so it can be
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# triggered manually or chained from the AMD scheduler.
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#
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# Stage: extra-a (1-gpu-small-amd). The job mirrors the container bring-up of
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# pr-test-amd.yml and dispatches `run_suite.py --hw amd --suite
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# extra-a-test-1-gpu-small-amd`. Only the mock-model / kv_canary *unit* tests
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# are onboarded so far; the canary *e2e* tests (which would land in
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# 1-/2-gpu-large) need the canary JIT kernel ported to ROCm first, so those
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# suites are intentionally not registered for AMD yet.
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# Stage: extra-a. Each job mirrors the container bring-up of pr-test-amd.yml
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# and dispatches `run_suite.py --hw amd --suite extra-a-test-{config}-amd`:
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# - 1-gpu-small: mock-model / kv_canary *unit* tests
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# - 1-gpu-large: single-GPU model e2e tests (quant fp8kv-triton,
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# sessions streaming-session, spec standalone triton)
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# The canary *e2e* tests still need the canary JIT kernel ported to ROCm
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# first, so they remain CUDA-only for now.
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on:
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pull_request:
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@@ -145,6 +146,37 @@ jobs:
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run: |
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bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite extra-a-test-1-gpu-small-amd --timeout-per-file 1800 ${{ inputs.continue_on_error == true && '--continue-on-error' || '' }}
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# =============================================== extra-a (1-gpu-large) ===============================================
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# Single-GPU lora / spec / quant model e2e tests. Runs on the same 1-gpu
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# pool as small (AMD GPUs carry enough VRAM that "large" here is a CUDA
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# memory-tier label, not a separate AMD runner pool).
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extra-a-test-1-gpu-large-amd:
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name: ${{ format('extra-a-test-1-gpu-large-amd{0} (linux-{1}-1gpu-sglang)', inputs.rocm_version && format('-{0}', inputs.rocm_version) || '', inputs.runner_arch || 'mi325') }}
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needs: [call-gate]
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if: ${{ !cancelled() && needs.call-gate.result == 'success' }}
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runs-on: ${{ format('linux-{0}-1gpu-sglang', inputs.runner_arch || 'mi325') }}
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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ref: ${{ inputs.ref || github.sha }}
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- name: Ensure VRAM is clear
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run: bash scripts/ci/amd/ensure_vram_clear.sh rocm
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- name: Start CI container
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run: bash scripts/ci/amd/amd_ci_start_container.sh ${{ inputs.rocm_version && format('--rocm-version {0}', inputs.rocm_version) || '' }}
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env:
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GITHUB_WORKSPACE: ${{ github.workspace }}
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- name: Install dependencies
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run: bash scripts/ci/amd/amd_ci_install_dependency.sh
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- name: Run test
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timeout-minutes: 60
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run: |
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bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite extra-a-test-1-gpu-large-amd --timeout-per-file 1800 ${{ inputs.continue_on_error == true && '--continue-on-error' || '' }}
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# =============================================== aggregator ====================================================
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# Single fan-in job so branch protection / notifications depend on one job
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# rather than every matrix leg. Fails if any dependent failed or was
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@@ -154,6 +186,7 @@ jobs:
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[
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call-gate,
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extra-a-test-1-gpu-small-amd,
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extra-a-test-1-gpu-large-amd,
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]
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if: always()
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runs-on: ubuntu-latest
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@@ -3,7 +3,7 @@ from types import SimpleNamespace
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from urllib.parse import urlparse
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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@@ -13,6 +13,7 @@ from sglang.test.test_utils import (
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)
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register_cuda_ci(est_time=73, stage="extra-a", runner_config="1-gpu-large")
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register_amd_ci(est_time=94, suite="extra-a-test-1-gpu-large-amd")
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class TestFP8KVCacheTritonBackend(CustomTestCase):
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@@ -1,6 +1,6 @@
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import unittest
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.kits.streaming_session_kit import StreamingSessionKitMixin
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from sglang.test.server_fixtures.streaming_session_fixture import (
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StreamingSessionServerBase,
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@@ -11,6 +11,7 @@ from sglang.test.test_utils import (
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)
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register_cuda_ci(est_time=691, stage="extra-a", runner_config="1-gpu-large")
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register_amd_ci(est_time=562, suite="extra-a-test-1-gpu-large-amd")
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class TestStreamingSessionRetractMixedChunk(
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@@ -1,14 +1,22 @@
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import unittest
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.srt.utils import is_hip
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.server_fixtures.standalone_fixture import StandaloneServerBase
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from sglang.test.test_utils import CustomTestCase
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# Non-V2 standalone speculative decoding tests (FA3, Triton, FlashInfer
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# backends). Sibling V2 classes stay per-commit in test_spec_standalone.py.
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register_cuda_ci(est_time=406, stage="extra-a", runner_config="1-gpu-large")
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# AMD: fa3 / flashinfer attention backends are not built in the ROCm
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# sgl_kernel, so only the triton-backend class runs on ROCm (the fa3 and
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# flashinfer classes are skipped on ROCm below).
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register_amd_ci(est_time=103, suite="extra-a-test-1-gpu-large-amd")
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_AMD_SKIP_BACKEND = "fa3 / flashinfer attention backends are CUDA-only (not in the ROCm sgl_kernel build)"
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@unittest.skipIf(is_hip(), _AMD_SKIP_BACKEND)
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class TestStandaloneSpeculativeDecodingBase(StandaloneServerBase, CustomTestCase):
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attention_backend = "fa3"
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speculative_eagle_topk = 2
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@@ -24,6 +32,7 @@ class TestStandaloneSpeculativeDecodingTriton(StandaloneServerBase, CustomTestCa
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enable_deterministic_inference = True
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@unittest.skipIf(is_hip(), _AMD_SKIP_BACKEND)
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class TestStandaloneSpeculativeDecodingFlashinfer(StandaloneServerBase, CustomTestCase):
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attention_backend = "flashinfer"
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speculative_eagle_topk = 2
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+10
-6
@@ -43,14 +43,18 @@ PER_COMMIT_SUITES = {
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"stage-c-test-4-gpu-amd",
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"stage-c-test-large-8-gpu-amd",
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"stage-c-test-large-8-gpu-amd-mi35x",
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# extra-a: label-gated PR opt-in suite in pr-test-amd-extra.yml
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# extra-a: label-gated PR opt-in suites in pr-test-amd-extra.yml
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# (mirror of CUDA extra-a; tests stay tagged per-commit but only
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# dispatch when the PR carries the `run-ci-extra` label). Only the
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# 1-gpu-small mock-model / kv_canary *unit* tests are onboarded so
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# far; the canary *e2e* tests (1-/2-gpu-large) need the canary JIT
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# kernel ported to ROCm first, so those suites are intentionally
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# not yet registered for AMD.
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# dispatch when the PR carries the `run-ci-extra` label). 1-gpu-small
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# carries the mock-model / kv_canary *unit* tests; 1-gpu-large carries
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# the subset of model e2e tests validated to pass on mi325 (quant
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# fp8kv-triton, sessions streaming-session EAGLE3, spec standalone
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# triton-backend variant). The rest of CUDA
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# extra-a tests fail on ROCm (missing flash_attn.cute/flash_ops
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# kernels, OOM, or accuracy regressions — e.g. gemma4-mtp-31b dips
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# below the gsm8k floor on the topk=3 leg) and stay CUDA-only for now.
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"extra-a-test-1-gpu-small-amd",
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"extra-a-test-1-gpu-large-amd",
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],
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HWBackend.MUSA: [],
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HWBackend.CUDA: [
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