[AMD] Cover DeepSeek-R1 MXFP4 TP4 MTP nightly CI (#29290)

.github/workflows/nightly-test-amd-rocm720.yml

@@ -1135,7 +1135,18 @@ jobs:
           > github_summary.md
           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-tp4 --nightly --timeout-per-file 7200 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
+            python3 registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_tp4_mi35x.py || TEST_EXIT_CODE=$?
+          echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
+          exit ${TEST_EXIT_CODE:-0}
+
+      - name: Accuracy Test MI35x ROCm 7.2 (DeepSeek-R1-MXFP4 TP4 MTP)
+        if: ${{ !cancelled() }}
+        timeout-minutes: 180
+        run: |
+          > github_summary.md
+          bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
+            -e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
+            python3 registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_tp4_mtp_mi35x.py || TEST_EXIT_CODE=$?
           echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
           exit ${TEST_EXIT_CODE:-0}
 

.github/workflows/nightly-test-amd.yml

@@ -1140,7 +1140,18 @@ jobs:
           > github_summary.md
           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-tp4 --nightly --timeout-per-file 7200 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
+            python3 registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_tp4_mi35x.py || TEST_EXIT_CODE=$?
+          echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
+          exit ${TEST_EXIT_CODE:-0}
+
+      - name: Accuracy Test MI35x (DeepSeek-R1-MXFP4 TP4 MTP)
+        if: ${{ !cancelled() }}
+        timeout-minutes: 180
+        run: |
+          > github_summary.md
+          bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
+            -e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
+            python3 registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_tp4_mtp_mi35x.py || TEST_EXIT_CODE=$?
           echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
           exit ${TEST_EXIT_CODE:-0}
 

test/registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_tp4_mtp_mi35x.py

@@ -0,0 +1,202 @@
+"""MI35x DeepSeek-R1-MXFP4 TP=4 EAGLE GSM8K regression.
+
+This mirrors the production-style TP=4 launch recipe with EAGLE speculative
+decoding, overlap plan stream, FP8 KV cache, long context, and full GSM8K
+client pressure enabled.
+
+Registry: nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-tp4 suite
+"""
+
+import ast
+import os
+import re
+import time
+import unittest
+from typing import 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_URL_FOR_TEST,
+    is_in_ci,
+    popen_launch_server,
+    write_github_step_summary,
+)
+from sglang.utils import download_and_cache_file, read_jsonl
+
+register_amd_ci(
+    est_time=3600,
+    suite="nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-tp4",
+    nightly=True,
+)
+
+INVALID = -9999999
+
+SERVER_LAUNCH_TIMEOUT = 3600
+GSM8K_MTP_ACCURACY_THRESHOLD = 0.944
+
+
+def get_one_example(lines, i, include_answer):
+    ret = "Question: " + lines[i]["question"] + "\nAnswer:"
+    if include_answer:
+        ret += " " + lines[i]["answer"]
+    return ret
+
+
+def get_few_shot_examples(lines, k):
+    ret = ""
+    for i in range(k):
+        ret += get_one_example(lines, i, True) + "\n\n"
+    return ret
+
+
+def get_answer_value(answer_str):
+    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]:
+    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 TestDeepSeekR1MXFP4TP4MTPMI35x(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = os.environ.get(
+            "DEEPSEEK_R1_MXFP4_MODEL_PATH", "amd/DeepSeek-R1-MXFP4-Preview"
+        )
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "1319"))
+        cls.parallel = int(os.environ.get("GSM8K_PARALLEL", "1319"))
+
+        env = os.environ.copy()
+        env.update(
+            {
+                "SGLANG_USE_AITER": "1",
+                "SGLANG_ENABLE_OVERLAP_PLAN_STREAM": "1",
+                # Retired on current main, but kept to mirror the reported launch.
+                "SGLANG_ENABLE_SPEC_V2": "1",
+                "ROCM_QUICK_REDUCE_QUANTIZATION": "NONE",
+                "SGLANG_AITER_FP8_PREFILL_ATTN": "1",
+                "SGLANG_AITER_MLA_PERSIST": "1",
+                "AITER_MXFP4_MOE_SF": "1",
+                "SGLANG_INT4_WEIGHT": "0",
+                "SGLANG_MOE_PADDING": "1",
+                "SGLANG_SET_CPU_AFFINITY": "1",
+                "SGLANG_ROCM_FUSED_DECODE_MLA": "1",
+                "SGLANG_USE_ROCM700A": "1",
+            }
+        )
+
+        cls.process = popen_launch_server(
+            model=cls.model,
+            base_url=cls.base_url,
+            timeout=SERVER_LAUNCH_TIMEOUT,
+            other_args=[
+                "--tensor-parallel-size",
+                "4",
+                "--trust-remote-code",
+                "--mem-fraction-static",
+                "0.9",
+                "--chunked-prefill-size",
+                "131072",
+                "--attention-backend",
+                "aiter",
+                "--speculative-algorithm",
+                "EAGLE",
+                "--speculative-num-steps",
+                "3",
+                "--speculative-eagle-topk",
+                "1",
+                "--speculative-num-draft-tokens",
+                "4",
+                "--max-running-requests",
+                "32",
+                "--context-length",
+                "200000",
+                "--kv-cache-dtype",
+                "fp8_e4m3",
+                "--model-loader-extra-config",
+                '{"enable_multithread_load": true, "num_threads": 8}',
+            ],
+            env=env,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        acc, invalid, latency = run_gsm8k_benchmark(
+            self.base_url,
+            num_questions=self.num_questions,
+            num_shots=5,
+            parallel=self.parallel,
+        )
+        print(f"accuracy={acc:.3f} invalid={invalid:.3f} latency={latency:.1f}s")
+
+        if is_in_ci():
+            write_github_step_summary(
+                "### DeepSeek-R1-MXFP4 TP=4 MTP GSM8K (MI35x)\n\n"
+                "| Model | TP | Examples | Parallel | Accuracy | Invalid | Threshold | Latency |\n"
+                "| ----- | -- | -------- | -------- | -------- | ------- | --------- | ------- |\n"
+                f"| {self.model} | 4 | {self.num_questions} | {self.parallel} | "
+                f"{acc:.3f} | {invalid:.3f} | {GSM8K_MTP_ACCURACY_THRESHOLD:.3f} | "
+                f"{latency:.1f}s |\n"
+            )
+
+        self.assertGreaterEqual(acc, GSM8K_MTP_ACCURACY_THRESHOLD)
+
+
+if __name__ == "__main__":
+    unittest.main()