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chore: import upstream snapshot with attribution
2026-07-13 12:29:08 +08:00

75 lines
2.5 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import random
import pytest
from vllm_omni.diffusion.request import DUMMY_DIFFUSION_REQUEST_ID, OmniDiffusionRequest
from vllm_omni.inputs.data import OmniDiffusionSamplingParams
pytestmark = [pytest.mark.core_model, pytest.mark.diffusion, pytest.mark.cpu]
def _make_request() -> OmniDiffusionRequest:
return OmniDiffusionRequest(
prompt={"prompt": "a cup of coffee on a table"},
sampling_params=OmniDiffusionSamplingParams(num_inference_steps=1),
request_id="request-test",
)
def test_request_id_is_required():
with pytest.raises(TypeError, match="request_id"):
OmniDiffusionRequest(
prompt={"prompt": "a cup of coffee on a table"},
sampling_params=OmniDiffusionSamplingParams(num_inference_steps=1),
)
def test_request_ids_identity_list_is_removed():
req = _make_request()
assert req.request_id == "request-test"
assert not hasattr(req, "request_ids")
def test_request_id_must_be_non_empty():
with pytest.raises(ValueError, match="request_id must be a non-empty string"):
OmniDiffusionRequest(
prompt={"prompt": "a cup of coffee on a table"},
sampling_params=OmniDiffusionSamplingParams(num_inference_steps=1),
request_id="",
)
def test_dummy_run_request_is_identified_by_reserved_request_id():
req = OmniDiffusionRequest(
prompt={"prompt": "dummy run"},
sampling_params=OmniDiffusionSamplingParams(num_inference_steps=1),
request_id=DUMMY_DIFFUSION_REQUEST_ID,
)
assert req.is_dummy_run()
assert OmniDiffusionRequest.is_dummy_run_request_id(DUMMY_DIFFUSION_REQUEST_ID)
def test_non_dummy_request_is_not_identified_as_dummy_run():
req = _make_request()
assert not req.is_dummy_run()
assert not OmniDiffusionRequest.is_dummy_run_request_id(req.request_id)
assert not OmniDiffusionRequest.is_dummy_run_request_id(None)
def test_tp_seed_same_across_ranks_and_varies_across_requests():
random.seed(0)
n_requests = 5
seeds = [_make_request().sampling_params.seed for _ in range(n_requests)]
# Seed must be auto-assigned (not None) so every TP rank can use it.
assert all(s is not None for s in seeds)
# Seeds must vary across requests (non-determinism preserved).
assert len(set(seeds)) == n_requests, f"Expected {n_requests} unique seeds but got {len(set(seeds))}: {seeds}"