51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
import unittest
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from sglang.test.test_utils import (
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DEFAULT_MODEL_NAME_FOR_TEST,
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DEFAULT_MOE_MODEL_NAME_FOR_TEST,
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is_in_ci,
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run_bench_one_batch,
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write_github_step_summary,
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)
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class TestBenchOneBatch(unittest.TestCase):
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def test_bs1(self):
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output_throughput = run_bench_one_batch(DEFAULT_MODEL_NAME_FOR_TEST, [])
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if is_in_ci():
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write_github_step_summary(
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f"### test_bs1\n"
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f"output_throughput : {output_throughput:.2f} token/s\n"
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)
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self.assertGreater(output_throughput, 135)
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def test_moe_tp2_bs1(self):
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output_throughput = run_bench_one_batch(
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DEFAULT_MOE_MODEL_NAME_FOR_TEST, ["--tp", "2"]
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)
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if is_in_ci():
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write_github_step_summary(
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f"### test_moe_tp2_bs1\n"
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f"output_throughput : {output_throughput:.2f} token/s\n"
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)
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self.assertGreater(output_throughput, 125)
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def test_torch_compile_tp2_bs1(self):
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output_throughput = run_bench_one_batch(
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DEFAULT_MODEL_NAME_FOR_TEST,
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["--tp", "2", "--enable-torch-compile", "--cuda-graph-max-bs", "2"],
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)
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if is_in_ci():
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write_github_step_summary(
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f"### test_torch_compile_tp2_bs1\n"
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f"output_throughput : {output_throughput:.2f} token/s\n"
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)
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self.assertGreater(output_throughput, 240)
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if __name__ == "__main__":
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unittest.main()
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