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61ba51e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | import unittest
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_TEST,
DEFAULT_MOE_MODEL_NAME_FOR_TEST,
CustomTestCase,
is_in_amd_ci,
is_in_ci,
run_bench_offline_throughput,
write_github_step_summary,
)
register_cuda_ci(est_time=180, suite="stage-b-test-large-2-gpu")
register_amd_ci(est_time=630, suite="stage-b-test-large-2-gpu-amd")
class TestBenchOneBatch2GPU(CustomTestCase):
def test_moe_tp2_bs1(self):
output_throughput = run_bench_offline_throughput(
DEFAULT_MOE_MODEL_NAME_FOR_TEST, ["--tp", "2", "--cuda-graph-max-bs", "2"]
)
if is_in_ci():
write_github_step_summary(
f"### test_moe_tp2_bs1 (Mixtral-8x7B)\n"
f"output_throughput: {output_throughput:.2f} token/s\n"
)
if is_in_amd_ci():
self.assertGreater(output_throughput, 85)
else:
self.assertGreater(output_throughput, 125)
def test_torch_compile_tp2_bs1(self):
output_throughput = run_bench_offline_throughput(
DEFAULT_MODEL_NAME_FOR_TEST,
["--tp", "2", "--enable-torch-compile", "--cuda-graph-max-bs", "2"],
)
if is_in_ci():
write_github_step_summary(
f"### test_torch_compile_tp2_bs1 (Mixtral-8x7B)\n"
f"output_throughput: {output_throughput:.2f} token/s\n"
)
if is_in_amd_ci():
self.assertGreater(output_throughput, 200)
else:
self.assertGreater(output_throughput, 220)
if __name__ == "__main__":
unittest.main()
|