Signed-off-by: P V R K Jyothendra Varma <polisetty.v.r.k.jyothendra.varma@intel.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Kangyan-Zhou <zky314343421@gmail.com> Co-authored-by: Ma Mingfei <mingfei.ma@intel.com>
84 lines
2.3 KiB
Python
84 lines
2.3 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 unittest
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from functools import wraps
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from sglang.test.test_utils import (
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DEFAULT_MODEL_NAME_FOR_TEST_FP8_WITH_MOE,
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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(
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extra_args=None, min_throughput=None, mem_fraction_static="0.4"
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):
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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-cache",
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"--trust-remote-code",
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"--mem-fraction-static",
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str(mem_fraction_static),
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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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ci_args = ["--input", "64", "--output", "4"] if is_in_ci() else []
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full_args = common_args + ci_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, mem_fraction_static="0.3")
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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(
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["--attention-backend", "intel_xpu", "--page-size", "128"],
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mem_fraction_static="0.5",
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)
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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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@intel_xpu_benchmark(
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[
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"--json-model-override-args",
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'{"num_hidden_layers": 4}',
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"--decode-attention-backend",
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"intel_xpu",
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],
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min_throughput=32,
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)
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def test_mla_decode_attention_backend(self):
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return DEFAULT_MODEL_NAME_FOR_TEST_FP8_WITH_MOE
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if __name__ == "__main__":
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unittest.main()
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