0d14f635b4
vLLM graph feature now rely on torch >=2.8. To make graph mode work, we need upgrade torch version as well. For long term support, upgrade torch to a newer one is good to go as well. Related vLLM change: https://github.com/vllm-project/vllm/pull/25110 - vLLM version: v0.11.2 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2
53 lines
1.2 KiB
Python
53 lines
1.2 KiB
Python
"""
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Run `pytest tests/e2e/multicard/test_data_parallel_tp2.py`.
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"""
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import os
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import subprocess
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import sys
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from unittest.mock import patch
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import pytest
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MODELS = ["Qwen/Qwen3-0.6B"]
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("max_tokens", [32])
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@patch.dict(os.environ, {"ASCEND_RT_VISIBLE_DEVICES": "0,1,2,3"})
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def test_data_parallel_inference(model, max_tokens):
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script = "examples/offline_data_parallel.py"
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env = os.environ.copy()
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cmd = [
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sys.executable,
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script,
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"--model",
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model,
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"--dp-size",
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"2",
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"--tp-size",
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"2",
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"--node-size",
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"1",
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"--node-rank",
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"0",
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"--trust-remote-code",
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]
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print(f"Running subprocess: {' '.join(cmd)}")
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proc = subprocess.run(cmd,
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env=env,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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timeout=600)
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output = proc.stdout.decode(errors='ignore')
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print(output)
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assert "DP rank 0 needs to process" in output
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assert "DP rank 1 needs to process" in output
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assert "Generated text:" in output
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assert proc.returncode == 0
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