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[AMD] Fix TP2 DeepSeek-R1 nhead=64 MLA decode crash and add nightly coverage (#27188)

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Co-authored-by: clintg6 <7388379+clintg6@users.noreply.github.com>
This commit is contained in:
Clint
2026-06-03 16:56:05 -07:00
committed by GitHub
co-authored by clintg6
parent c9ca56da8c
commit cfb7fb4fad
6 changed files with 518 additions and 1 deletions
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.github/workflows/nightly-test-amd-rocm720.yml
+73
View File
@@ -38,6 +38,8 @@ on:
- nightly-4-gpu-rocm720 - nightly-4-gpu-rocm720
# 2-GPU GLM-5.1-MXFP4 (MI35x only) # 2-GPU GLM-5.1-MXFP4 (MI35x only)
- nightly-2-gpu-mi35x-glm51-mxfp4-rocm720 - nightly-2-gpu-mi35x-glm51-mxfp4-rocm720
# 2-GPU DeepSeek-R1-MXFP4 TP2 (MI35x only)
- nightly-2-gpu-mi35x-deepseek-r1-mxfp4-tp2-rocm720
# 8-GPU GPT-OSS (MI30x mixes Grok1-FP8; MI35x mixes Qwen3-Coder-Next) # 8-GPU GPT-OSS (MI30x mixes Grok1-FP8; MI35x mixes Qwen3-Coder-Next)
- nightly-accuracy-8-gpu-rocm720 - nightly-accuracy-8-gpu-rocm720
- nightly-accuracy-8-gpu-mi35x-rocm720 - nightly-accuracy-8-gpu-mi35x-rocm720
@@ -61,6 +63,7 @@ on:
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-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-kv-fp8-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion-rocm720 - nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-tp4-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-hicache-rocm720 - nightly-8-gpu-mi35x-deepseek-r1-hicache-rocm720
# 8-GPU DeepSeek-V4 (MI35x only) # 8-GPU DeepSeek-V4 (MI35x only)
- nightly-8-gpu-mi35x-deepseek-v4-flash-rocm720 - nightly-8-gpu-mi35x-deepseek-v4-flash-rocm720
@@ -262,6 +265,40 @@ jobs:
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0} exit ${TEST_EXIT_CODE:-0}
nightly-2-gpu-mi35x-deepseek-r1-mxfp4-tp2-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-2-gpu-mi35x-deepseek-r1-mxfp4-tp2-rocm720,'))
runs-on: linux-mi35x-gpu-2
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ci/amd/ensure_vram_clear.sh rocm
- 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
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x ROCm 7.2 (2-GPU DeepSeek-R1-MXFP4 TP2)
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 run_suite.py --hw amd --suite nightly-amd-2-gpu-mi35x-deepseek-r1-mxfp4-tp2 --nightly --timeout-per-file 7200 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
nightly-accuracy-2-gpu-vlm-rocm720: nightly-accuracy-2-gpu-vlm-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-accuracy-2-gpu-vlm-rocm720,')) if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-accuracy-2-gpu-vlm-rocm720,'))
runs-on: linux-mi325-2gpu-sglang runs-on: linux-mi325-2gpu-sglang
@@ -1023,6 +1060,40 @@ jobs:
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0} exit ${TEST_EXIT_CODE:-0}
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-tp4-rocm720:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-tp4-rocm720,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ci/amd/ensure_vram_clear.sh rocm
- 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
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x ROCm 7.2 (DeepSeek-R1-MXFP4 TP4)
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 run_suite.py --hw amd --suite nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-tp4 --nightly --timeout-per-file 7200 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8-rocm720: 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_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',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_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8-rocm720,'))
runs-on: linux-mi35x-gpu-8 runs-on: linux-mi35x-gpu-8
@@ -1717,6 +1788,7 @@ jobs:
- nightly-perf-2-gpu-vlm-rocm720 - nightly-perf-2-gpu-vlm-rocm720
- nightly-4-gpu-rocm720 - nightly-4-gpu-rocm720
- nightly-2-gpu-mi35x-glm51-mxfp4-rocm720 - nightly-2-gpu-mi35x-glm51-mxfp4-rocm720
- nightly-2-gpu-mi35x-deepseek-r1-mxfp4-tp2-rocm720
# 8-GPU GPT-OSS (MI30x mixes Grok1-FP8; MI35x mixes Qwen3-Coder-Next) # 8-GPU GPT-OSS (MI30x mixes Grok1-FP8; MI35x mixes Qwen3-Coder-Next)
- nightly-accuracy-8-gpu-rocm720 - nightly-accuracy-8-gpu-rocm720
- nightly-accuracy-8-gpu-mi35x-rocm720 - nightly-accuracy-8-gpu-mi35x-rocm720
@@ -1740,6 +1812,7 @@ jobs:
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-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-kv-fp8-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion-rocm720 - nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-tp4-rocm720
- nightly-8-gpu-mi35x-deepseek-r1-hicache-rocm720 - nightly-8-gpu-mi35x-deepseek-r1-hicache-rocm720
# 8-GPU DeepSeek-V4 (MI35x only) # 8-GPU DeepSeek-V4 (MI35x only)
- nightly-8-gpu-mi35x-deepseek-v4-flash-rocm720 - nightly-8-gpu-mi35x-deepseek-v4-flash-rocm720
.github/workflows/nightly-test-amd.yml
+73
View File
@@ -38,6 +38,8 @@ on:
- nightly-4-gpu - nightly-4-gpu
# 2-GPU GLM-5.1-MXFP4 (MI35x only) # 2-GPU GLM-5.1-MXFP4 (MI35x only)
- nightly-2-gpu-mi35x-glm51-mxfp4 - nightly-2-gpu-mi35x-glm51-mxfp4
# 2-GPU DeepSeek-R1-MXFP4 TP2 (MI35x only)
- nightly-2-gpu-mi35x-deepseek-r1-mxfp4-tp2
# 8-GPU GPT-OSS (MI30x mixes Grok1-FP8; MI35x mixes Qwen3-Coder-Next) # 8-GPU GPT-OSS (MI30x mixes Grok1-FP8; MI35x mixes Qwen3-Coder-Next)
- nightly-accuracy-8-gpu - nightly-accuracy-8-gpu
- nightly-accuracy-8-gpu-mi35x - nightly-accuracy-8-gpu-mi35x
@@ -61,6 +63,7 @@ on:
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4 - nightly-8-gpu-mi35x-deepseek-r1-mxfp4
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8 - nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion - nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-tp4
- nightly-8-gpu-mi35x-deepseek-r1-hicache - nightly-8-gpu-mi35x-deepseek-r1-hicache
# 8-GPU Kimi-K2.6 (MI30x + MI35x) # 8-GPU Kimi-K2.6 (MI30x + MI35x)
- nightly-8-gpu-kimi-k26 - nightly-8-gpu-kimi-k26
@@ -264,6 +267,40 @@ jobs:
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0} exit ${TEST_EXIT_CODE:-0}
nightly-2-gpu-mi35x-deepseek-r1-mxfp4-tp2:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-2-gpu-mi35x-deepseek-r1-mxfp4-tp2,'))
runs-on: linux-mi35x-gpu-2
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ci/amd/ensure_vram_clear.sh rocm
- 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
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x (2-GPU DeepSeek-R1-MXFP4 TP2)
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 run_suite.py --hw amd --suite nightly-amd-2-gpu-mi35x-deepseek-r1-mxfp4-tp2 --nightly --timeout-per-file 7200 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
nightly-accuracy-2-gpu-vlm: nightly-accuracy-2-gpu-vlm:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-accuracy-2-gpu-vlm,')) if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-accuracy-2-gpu-vlm,'))
runs-on: linux-mi325-2gpu-sglang runs-on: linux-mi325-2gpu-sglang
@@ -1028,6 +1065,40 @@ jobs:
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0} exit ${TEST_EXIT_CODE:-0}
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-tp4:
if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-tp4,'))
runs-on: linux-mi35x-gpu-8
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.sha }}
- name: Ensure VRAM is clear
run: bash scripts/ci/amd/ensure_vram_clear.sh rocm
- 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
bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
- name: Accuracy Test MI35x (DeepSeek-R1-MXFP4 TP4)
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 run_suite.py --hw amd --suite nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-tp4 --nightly --timeout-per-file 7200 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
exit ${TEST_EXIT_CODE:-0}
nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8: 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_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',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_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8,'))
runs-on: linux-mi35x-gpu-8 runs-on: linux-mi35x-gpu-8
@@ -1648,6 +1719,7 @@ jobs:
# - nightly-perf-2-gpu-vlm # excluded: perf failures don't block CI # - nightly-perf-2-gpu-vlm # excluded: perf failures don't block CI
- nightly-4-gpu - nightly-4-gpu
- nightly-2-gpu-mi35x-glm51-mxfp4 - nightly-2-gpu-mi35x-glm51-mxfp4
- nightly-2-gpu-mi35x-deepseek-r1-mxfp4-tp2
# 8-GPU GPT-OSS (MI30x mixes Grok1-FP8; MI35x mixes Qwen3-Coder-Next) # 8-GPU GPT-OSS (MI30x mixes Grok1-FP8; MI35x mixes Qwen3-Coder-Next)
- nightly-accuracy-8-gpu - nightly-accuracy-8-gpu
- nightly-accuracy-8-gpu-mi35x - nightly-accuracy-8-gpu-mi35x
@@ -1671,6 +1743,7 @@ jobs:
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4 - nightly-8-gpu-mi35x-deepseek-r1-mxfp4
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8 - nightly-8-gpu-mi35x-deepseek-r1-mxfp4-kv-fp8
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion - nightly-8-gpu-mi35x-deepseek-r1-mxfp4-ar-fusion
- nightly-8-gpu-mi35x-deepseek-r1-mxfp4-tp4
- nightly-8-gpu-mi35x-deepseek-r1-hicache - nightly-8-gpu-mi35x-deepseek-r1-hicache
# 8-GPU Kimi-K2.6 (MI30x + MI35x) # 8-GPU Kimi-K2.6 (MI30x + MI35x)
- nightly-8-gpu-kimi-k26 - nightly-8-gpu-kimi-k26
python/sglang/srt/layers/attention/aiter_backend.py
+1 -1
View File
@@ -281,7 +281,7 @@ class AiterAttnBackend(AttentionBackend):
# so all num_head size does not use qh16 kernel to simulate # so all num_head size does not use qh16 kernel to simulate
# it should not use fake-nps (fast_mode = False, intra_batch_mode = True) # it should not use fake-nps (fast_mode = False, intra_batch_mode = True)
# it will cause gpu-fault or accuracy issue # it will cause gpu-fault or accuracy issue
if self.num_head == 32 or self.num_head == 128: if self.num_head in (32, 64, 128):
fast_mode = True fast_mode = True
intra_batch_mode = False intra_batch_mode = False
test/registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_tp2_mi35x.py
+185
View File
@@ -0,0 +1,185 @@
"""MI35x DeepSeek-R1-MXFP4 TP=2 GSM8K AITER MLA regression.
DeepSeek-R1 has 128 attention heads, so TP=2 gives 64 heads per rank. This
covers the AITER persistent MLA decode metadata path that previously crashed
with GPU memory access faults.
Registry: nightly-amd-2-gpu-mi35x-deepseek-r1-mxfp4-tp2 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 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=1800,
suite="nightly-amd-2-gpu-mi35x-deepseek-r1-mxfp4-tp2",
nightly=True,
)
INVALID = -9999999
DEEPSEEK_R1_MXFP4_LOCAL_PATH = "/data2/models/amd-DeepSeek-R1-MXFP4-Preview"
DEEPSEEK_R1_MXFP4_HF_MODEL_ID = "amd/DeepSeek-R1-MXFP4-Preview"
SERVER_LAUNCH_TIMEOUT = 3600
GSM8K_ACCURACY_THRESHOLD = 0.93
def get_model_path() -> str:
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
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 TestDeepSeekR1MXFP4TP2MI35x(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.model = get_model_path()
cls.base_url = DEFAULT_URL_FOR_TEST
cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "200"))
env = os.environ.copy()
env["SGLANG_USE_AITER"] = "1"
env["SGLANG_AITER_MLA_PERSIST"] = "1"
cls.process = popen_launch_server(
model=cls.model,
base_url=cls.base_url,
timeout=SERVER_LAUNCH_TIMEOUT,
other_args=[
"--attention-backend",
"aiter",
"--tp",
"2",
"--chunked-prefill-size",
"131072",
"--disable-radix-cache",
"--mem-fraction-static",
"0.85",
"--trust-remote-code",
"--kv-cache-dtype",
"fp8_e4m3",
"--model-loader-extra-config",
'{"enable_multithread_load": true}',
],
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
)
print(f"accuracy={acc:.3f} invalid={invalid:.3f} latency={latency:.1f}s")
if is_in_ci():
write_github_step_summary(
"### DeepSeek-R1-MXFP4 TP=2 GSM8K (MI35x)\n\n"
"| Model | TP | Examples | Accuracy | Invalid | Threshold | Latency |\n"
"| ----- | -- | -------- | -------- | ------- | --------- | ------- |\n"
f"| {self.model} | 2 | {self.num_questions} | {acc:.3f} | "
f"{invalid:.3f} | {GSM8K_ACCURACY_THRESHOLD:.2f} | {latency:.1f}s |\n"
)
self.assertGreaterEqual(acc, GSM8K_ACCURACY_THRESHOLD)
if __name__ == "__main__":
unittest.main()
test/registered/amd/accuracy/mi35x/test_deepseek_r1_mxfp4_tp4_mi35x.py
+184
View File
@@ -0,0 +1,184 @@
"""MI35x DeepSeek-R1-MXFP4 TP=4 GSM8K AITER MLA regression.
DeepSeek-R1 has 128 attention heads, so TP=4 gives 32 heads per rank. This
covers the AITER persistent MLA decode metadata path for the nhead=32 case.
Registry: nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-tp4 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 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=1800,
suite="nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-tp4",
nightly=True,
)
INVALID = -9999999
DEEPSEEK_R1_MXFP4_LOCAL_PATH = "/data2/models/amd-DeepSeek-R1-MXFP4-Preview"
DEEPSEEK_R1_MXFP4_HF_MODEL_ID = "amd/DeepSeek-R1-MXFP4-Preview"
SERVER_LAUNCH_TIMEOUT = 3600
GSM8K_ACCURACY_THRESHOLD = 0.93
def get_model_path() -> str:
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
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 TestDeepSeekR1MXFP4TP4MI35x(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.model = get_model_path()
cls.base_url = DEFAULT_URL_FOR_TEST
cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "200"))
env = os.environ.copy()
env["SGLANG_USE_AITER"] = "1"
env["SGLANG_AITER_MLA_PERSIST"] = "1"
cls.process = popen_launch_server(
model=cls.model,
base_url=cls.base_url,
timeout=SERVER_LAUNCH_TIMEOUT,
other_args=[
"--attention-backend",
"aiter",
"--tp",
"4",
"--chunked-prefill-size",
"131072",
"--disable-radix-cache",
"--mem-fraction-static",
"0.85",
"--trust-remote-code",
"--kv-cache-dtype",
"fp8_e4m3",
"--model-loader-extra-config",
'{"enable_multithread_load": true}',
],
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
)
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 GSM8K (MI35x)\n\n"
"| Model | TP | Examples | Accuracy | Invalid | Threshold | Latency |\n"
"| ----- | -- | -------- | -------- | ------- | --------- | ------- |\n"
f"| {self.model} | 4 | {self.num_questions} | {acc:.3f} | "
f"{invalid:.3f} | {GSM8K_ACCURACY_THRESHOLD:.2f} | {latency:.1f}s |\n"
)
self.assertGreaterEqual(acc, GSM8K_ACCURACY_THRESHOLD)
if __name__ == "__main__":
unittest.main()
test/run_suite.py
+2
View File
@@ -114,6 +114,8 @@ NIGHTLY_SUITES = {
"nightly-amd-1-gpu", "nightly-amd-1-gpu",
"nightly-amd-1-gpu-mi35x", "nightly-amd-1-gpu-mi35x",
"nightly-amd-1-gpu-zimage-turbo", "nightly-amd-1-gpu-zimage-turbo",
"nightly-amd-2-gpu-mi35x-deepseek-r1-mxfp4-tp2",
"nightly-amd-8-gpu-mi35x-deepseek-r1-mxfp4-tp4",
"nightly-amd-4-gpu", "nightly-amd-4-gpu",
"nightly-amd-8-gpu", "nightly-amd-8-gpu",
"nightly-amd-vlm", "nightly-amd-vlm",