wangyuandCursor
4616823125
Signed-off-by: wangyu <410167048@qq.com> Signed-off-by: [Your Name] <your.email@example.com> Co-authored-by: Cursor <cursoragent@cursor.com>
57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
"""Weekly e2e coverage for BAGEL diffusion multi-replica serving.
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This test needs 4 H100 GPUs; keep it out of generic test_bagel_* jobs.
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It is covered by the weekly Diffusion · H100 · Multi-GPU lane
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(``.buildkite/cuda/test-weekly.yml``, ``mirror_hardwares: h100_4``).
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"""
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import os
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import pytest
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from tests.helpers.mark import hardware_test
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from tests.helpers.runtime import OmniServerParams, dummy_messages_from_mix_data
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from tests.helpers.stage_config import get_deploy_config_path
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os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
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MODEL = "ByteDance-Seed/BAGEL-7B-MoT"
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MULTI_REPLICA_DEPLOY = get_deploy_config_path("ci/bagel_multi_replicas_4gpu.yaml")
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ROUTE_STRESS_REQUESTS = 6
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pytestmark = [pytest.mark.slow, pytest.mark.diffusion]
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test_params = [
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OmniServerParams(
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model=MODEL,
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stage_config_path=MULTI_REPLICA_DEPLOY,
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server_args=["--disable-log-stats"],
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use_stage_cli=True,
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)
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]
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@hardware_test(res={"cuda": "H100"}, num_cards=4)
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@pytest.mark.parametrize("omni_server", test_params, indirect=True)
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def test_multi_stage_diffusion_uses_multi_replica_dit_stage(omni_server, openai_client) -> None:
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request_config = {
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"model": omni_server.model,
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"messages": dummy_messages_from_mix_data(
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content_text="<|im_start|>A small red cube on a white table.<|im_end|>"
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),
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"modalities": ["image"],
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"extra_body": {
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"height": 512,
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"width": 512,
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"num_inference_steps": 2,
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"guidance_scale": 0.0,
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"seed": 42,
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},
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}
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responses = openai_client.send_diffusion_request(request_config, request_num=ROUTE_STRESS_REQUESTS)
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assert len(responses) == ROUTE_STRESS_REQUESTS
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assert all(response.success for response in responses)
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assert all(response.images is not None and response.images[0].size == (512, 512) for response in responses)
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