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54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
import unittest
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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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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CustomTestCase,
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is_in_amd_ci,
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is_in_ci,
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run_bench_offline_throughput,
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write_github_step_summary,
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)
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register_cuda_ci(est_time=180, suite="stage-b-test-large-2-gpu")
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register_amd_ci(est_time=630, suite="stage-b-test-large-2-gpu-amd")
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class TestBenchOneBatch2GPU(CustomTestCase):
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def test_moe_tp2_bs1(self):
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output_throughput = run_bench_offline_throughput(
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DEFAULT_MOE_MODEL_NAME_FOR_TEST, ["--tp", "2", "--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_moe_tp2_bs1 (Mixtral-8x7B)\n"
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f"output_throughput: {output_throughput:.2f} token/s\n"
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)
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if is_in_amd_ci():
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self.assertGreater(output_throughput, 85)
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else:
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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_offline_throughput(
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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 (Mixtral-8x7B)\n"
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f"output_throughput: {output_throughput:.2f} token/s\n"
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)
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if is_in_amd_ci():
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self.assertGreater(output_throughput, 200)
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else:
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self.assertGreater(output_throughput, 220)
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if __name__ == "__main__":
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unittest.main()
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