Files
xc-llm-ascend/tests/e2e/multicard/test_external_launcher.py
XiaoxinWang 1b4ce63ec9 fix fullgraph in ds. (#4016)
### What this PR does / why we need it?
DS don't have 'AscendAttentionMetadataBuilder' class so will fail in
fullgraph.
We resolved the issue by modifying the code to only check for
'GDNAttentionMetadataBuilder ', while all other attention cases follow
the default branch.

- vLLM version: v0.11.0
- vLLM main:
83f478bb19

Signed-off-by: wangxiaoxin-sherie <wangxiaoxin7@huawei.com>
Co-authored-by: wangxiaoxin-sherie <wangxiaoxin7@huawei.com>
2025-11-12 10:11:43 +08:00

240 lines
5.9 KiB
Python

#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
# Copyright 2023 The vLLM team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
Compare the outputs of vLLM with and without aclgraph.
Run `pytest tests/multicard/test_external_launcher.py`.
"""
import os
import subprocess
import sys
from pathlib import Path
from unittest.mock import patch
import pytest
import torch_npu
from modelscope import snapshot_download # type: ignore
MODELS = ["Qwen/Qwen3-0.6B"]
MOE_MODELS = ["Qwen/Qwen3-30B-A3B"]
DEVICE_NAME = torch_npu.npu.get_device_name(0)[:10]
@pytest.mark.parametrize("model", MODELS)
@patch.dict(os.environ, {"HCCL_BUFFSIZE": "500"})
def test_external_launcher(model):
script = Path(
__file__
).parent.parent.parent.parent / "examples" / "offline_external_launcher.py"
env = os.environ.copy()
# TODO: Change to 2 when ci machine has 4 cards
cmd = [
sys.executable,
str(script),
"--model",
model,
"--tp-size",
"1",
"--node-size",
"1",
"--node-rank",
"0",
"--proc-per-node",
"2",
"--trust-remote-code",
]
print(f"Running subprocess: {' '.join(cmd)}")
proc = subprocess.run(
cmd,
env=env,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
timeout=600,
)
output = proc.stdout.decode()
print(output)
assert "TP RANKS: [0]" in output
assert "TP RANKS: [1]" in output
assert "Generated text:" in output
assert proc.returncode == 0
@pytest.mark.parametrize("model", MOE_MODELS)
def test_moe_external_launcher(model):
script = Path(
__file__
).parent.parent.parent.parent / "examples" / "offline_external_launcher.py"
env = os.environ.copy()
# TODO: Change to 2 when ci machine has 4 cards
cmd = [
sys.executable,
str(script), "--model", model, "--tp-size", "2", "--node-size", "1",
"--node-rank", "0", "--proc-per-node", "2", "--trust-remote-code",
"--enable-expert-parallel"
]
print(f"Running subprocess: {' '.join(cmd)}")
proc = subprocess.run(
cmd,
env=env,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
timeout=600,
)
output = proc.stdout.decode()
print(output)
assert "TP RANKS: [0, 1]" in output
assert "Generated text:" in output
assert proc.returncode == 0
@patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_NZ": "0"})
def test_external_launcher_and_sleepmode():
script = Path(
__file__
).parent.parent.parent.parent / "examples" / "offline_external_launcher.py"
env = os.environ.copy()
# TODO: Change to 2 when ci machine has 4 cards
cmd = [
sys.executable,
str(script),
"--model",
"Qwen/Qwen3-8B",
"--tp-size",
"1",
"--node-size",
"1",
"--node-rank",
"0",
"--proc-per-node",
"2",
"--trust-remote-code",
"--enable-sleep-mode",
"--temperature",
"0",
"--model-weight-gib",
"16",
]
print(f"Running subprocess: {' '.join(cmd)}")
proc = subprocess.run(
cmd,
env=env,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
timeout=300,
)
output = proc.stdout.decode()
print(output)
assert "Generated text:" in output
assert "Sleep and wake up successfully!!" in output
assert proc.returncode == 0
@patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_NZ": "0"})
def test_external_launcher_and_sleepmode_level2():
script = Path(
__file__
).parent.parent.parent.parent / "examples" / "offline_external_launcher.py"
env = os.environ.copy()
model_path = snapshot_download("Qwen/Qwen3-8B")
# TODO: Add moe model test
cmd = [
sys.executable,
str(script),
"--model",
model_path,
"--tp-size",
"1",
"--node-size",
"1",
"--node-rank",
"0",
"--proc-per-node",
"2",
"--trust-remote-code",
"--enable-sleep-mode",
"--temperature",
"0",
"--model-weight-gib",
"16",
"--sleep-mode-level",
"2",
]
print(f"Running subprocess: {' '.join(cmd)}")
proc = subprocess.run(
cmd,
env=env,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
timeout=300,
)
output = proc.stdout.decode()
print(output)
assert "Generated text:" in output
assert "Sleep and wake up successfully!!" in output
assert proc.returncode == 0
@pytest.mark.skipif(
DEVICE_NAME != "Ascend910B",
reason="This test is only for Ascend910B devices.",
)
@pytest.mark.parametrize("model", MODELS)
@patch.dict(os.environ, {
"VLLM_ASCEND_ENABLE_MATMUL_ALLREDUCE": "1",
"HCCL_BUFFSIZE": "500"
})
def test_mm_allreduce(model):
script = Path(
__file__
).parent.parent.parent.parent / "examples" / "offline_external_launcher.py"
env = os.environ.copy()
cmd = [
sys.executable,
str(script),
"--model",
model,
"--trust-remote-code",
]
print(f"Running subprocess: {' '.join(cmd)}")
proc = subprocess.run(
cmd,
env=env,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
timeout=600,
)
output = proc.stdout.decode()
print(output)
assert "Generated text:" in output
assert proc.returncode == 0