[CI] Print summary on github actions (#2274)
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@@ -816,3 +816,8 @@ def run_mulit_request_test(
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chunked_prefill_size,
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assert_has_abort=False,
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)
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def write_github_step_summary(content):
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with open(os.environ["GITHUB_STEP_SUMMARY"], "a") as f:
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f.write(content)
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@@ -6,6 +6,7 @@ from sglang.test.test_utils import (
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DEFAULT_MOE_MODEL_NAME_FOR_TEST,
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is_in_ci,
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run_bench_serving,
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write_github_step_summary,
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)
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@@ -20,6 +21,10 @@ class TestBenchServing(unittest.TestCase):
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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_offline_throughput_default\n"
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f'Output throughput: {res["output_throughput"]:.2f} token/s\n'
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)
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self.assertGreater(res["output_throughput"], 3350)
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def test_offline_throughput_non_stream_small_batch_size(self):
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@@ -36,6 +41,10 @@ class TestBenchServing(unittest.TestCase):
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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_offline_throughput_non_stream_small_batch_size\n"
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f'Output throughput: {res["output_throughput"]:.2f} token/s\n'
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)
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# There is a regression with torch 2.5
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# This number was 950 for torch 2.4
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self.assertGreater(res["output_throughput"], 800)
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@@ -49,6 +58,10 @@ class TestBenchServing(unittest.TestCase):
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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_offline_throughput_without_radix_cache\n"
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f'Output throughput: {res["output_throughput"]:.2f} token/s\n'
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)
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self.assertGreater(res["output_throughput"], 3350)
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def test_offline_throughput_without_chunked_prefill(self):
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@@ -60,6 +73,10 @@ class TestBenchServing(unittest.TestCase):
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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_offline_throughput_without_chunked_prefill\n"
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f'Output throughput: {res["output_throughput"]:.2f} token/s\n'
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)
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self.assertGreater(res["output_throughput"], 2600)
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def test_offline_throughput_with_triton_attention_backend(self):
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@@ -76,6 +93,10 @@ class TestBenchServing(unittest.TestCase):
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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_offline_throughput_with_triton_attention_backend\n"
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f'Output throughput: {res["output_throughput"]:.2f} token/s\n'
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)
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self.assertGreater(res["output_throughput"], 3450)
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def test_offline_throughput_default_fp8(self):
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@@ -87,6 +108,10 @@ class TestBenchServing(unittest.TestCase):
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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_offline_throughput_default_fp8\n"
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f'Output throughput: {res["output_throughput"]:.2f} token/s\n'
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)
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self.assertGreater(res["output_throughput"], 3850)
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def test_online_latency_default(self):
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@@ -98,6 +123,10 @@ class TestBenchServing(unittest.TestCase):
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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_online_latency_default\n"
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f'median_e2e_latency_ms : {res["median_e2e_latency_ms"]:.2f} token/s\n'
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)
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self.assertLess(res["median_e2e_latency_ms"], 12000)
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self.assertLess(res["median_ttft_ms"], 86)
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self.assertLess(res["median_itl_ms"], 10)
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@@ -111,6 +140,10 @@ class TestBenchServing(unittest.TestCase):
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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_offline_throughput_default\n"
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f'Output throughput: {res["output_throughput"]:.2f} token/s\n'
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)
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self.assertGreater(res["output_throughput"], 2150)
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def test_moe_offline_throughput_without_radix_cache(self):
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@@ -122,6 +155,10 @@ class TestBenchServing(unittest.TestCase):
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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_offline_throughput_without_radix_cache\n"
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f'Output throughput: {res["output_throughput"]:.2f} token/s\n'
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)
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self.assertGreater(res["output_throughput"], 2150)
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