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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

83 行
3.3 KiB
Python

"""Tests for caller-supplied mm_hashes plumbing.
Verifies the contract that:
1. GenerateReqInput.mm_hashes is an optional list of hex strings.
2. MultimodalDataItem.set_pad_value() honors a pre-set hash and does NOT
overwrite it via hash_feature().
3. The derived pad_value is deterministic across requests with identical
mm_hashes — the property external KV routers depend on.
The wiring step that copies GenerateReqInput.mm_hashes into per-item
MultimodalDataItem.hash lives in tokenizer_manager.py and is exercised by
the e2e serve tests; this file pins the unit-level invariants the wiring
relies on.
"""
import unittest
from unittest.mock import patch
from sglang.srt.managers.io_struct import GenerateReqInput
from sglang.srt.managers.schedule_batch import (
Modality,
MultimodalDataItem,
_compute_pad_value,
)
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=2, stage="base-b", runner_config="1-gpu-small")
register_amd_ci(est_time=2, suite="stage-b-test-1-gpu-small-amd")
class TestMmHashesContract(CustomTestCase):
def test_generate_req_input_accepts_mm_hashes(self):
"""GenerateReqInput exposes mm_hashes as an optional field."""
req = GenerateReqInput(
text="hi",
image_data=["http://example.com/img.png"],
mm_hashes=["deadbeefcafe1234"],
)
self.assertEqual(req.mm_hashes, ["deadbeefcafe1234"])
def test_generate_req_input_defaults_mm_hashes_to_none(self):
"""Absent mm_hashes preserves existing (None) behavior."""
req = GenerateReqInput(text="hi")
self.assertIsNone(req.mm_hashes)
def test_set_pad_value_honors_preset_hash(self):
"""set_pad_value() must use a pre-set hash without recomputing."""
item = MultimodalDataItem(modality=Modality.IMAGE, hash=0xDEADBEEF)
# If hash_feature is invoked, the test fails — we patch it to
# raise so any accidental recompute is loud.
with patch(
"sglang.srt.managers.mm_utils.hash_feature",
side_effect=AssertionError(
"hash_feature must NOT be called when hash is preset"
),
):
item.set_pad_value()
self.assertEqual(item.hash, 0xDEADBEEF)
self.assertEqual(item.pad_value, _compute_pad_value(0xDEADBEEF))
def test_set_pad_value_is_deterministic_across_items(self):
"""Two items with the same preset hash must derive the same pad_value."""
a = MultimodalDataItem(modality=Modality.IMAGE, hash=0x123456789ABCDEF0)
b = MultimodalDataItem(modality=Modality.IMAGE, hash=0x123456789ABCDEF0)
# No feature payload — set_pad_value uses the preset hash.
a.set_pad_value()
b.set_pad_value()
self.assertEqual(a.pad_value, b.pad_value)
self.assertEqual(a.hash, b.hash)
def test_set_pad_value_distinguishes_different_preset_hashes(self):
"""Distinct preset hashes must produce distinct pad_values."""
a = MultimodalDataItem(modality=Modality.IMAGE, hash=0xAAAA)
b = MultimodalDataItem(modality=Modality.IMAGE, hash=0xBBBB)
a.set_pad_value()
b.set_pad_value()
self.assertNotEqual(a.pad_value, b.pad_value)
if __name__ == "__main__":
unittest.main()