b113c72e7a
Co-authored-by: guangyey <guangye.yu@intel.com> Co-authored-by: DiweiSun <105627594+DiweiSun@users.noreply.github.com>
66 lines
1.7 KiB
Python
66 lines
1.7 KiB
Python
"""
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Usage:
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python3 -m unittest test_intel_xpu_backend.TestIntelXPUBackend.test_latency_qwen_model
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"""
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import os
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import unittest
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from functools import wraps
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from sglang.test.test_utils import (
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DEFAULT_SMALL_MODEL_NAME_FOR_TEST_BASE,
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DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN,
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CustomTestCase,
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is_in_ci,
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run_bench_one_batch,
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)
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def intel_xpu_benchmark(extra_args=None, min_throughput=None):
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def decorator(test_func):
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@wraps(test_func)
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def wrapper(self):
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common_args = [
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"--disable-radix",
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"--trust-remote-code",
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"--mem-fraction-static",
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"0.3",
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"--batch-size",
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"1",
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"--device",
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"xpu",
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]
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full_args = common_args + (extra_args or [])
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model = test_func(self)
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prefill_latency, decode_throughput, decode_latency = run_bench_one_batch(
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model, full_args
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)
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print(f"{model=}")
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print(f"{prefill_latency=}")
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print(f"{decode_throughput=}")
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print(f"{decode_latency=}")
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if is_in_ci() and min_throughput is not None:
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self.assertGreater(decode_throughput, min_throughput)
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return wrapper
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return decorator
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class TestIntelXPUBackend(CustomTestCase):
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@intel_xpu_benchmark(min_throughput=10)
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def test_latency_qwen_model(self):
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return DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN
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@intel_xpu_benchmark(["--attention-backend", "intel_xpu", "--page-size", "128"])
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def test_attention_backend(self):
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return DEFAULT_SMALL_MODEL_NAME_FOR_TEST_BASE
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if __name__ == "__main__":
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unittest.main()
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