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51 changes: 51 additions & 0 deletions tests/ut/ops/test_moe_mlp.py
Original file line number Diff line number Diff line change
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import unittest
from typing import ClassVar

import torch

from vllm_ascend.ops.fused_moe.moe_mlp import cumsum_group_list


class TestCumsumGroupList(unittest.TestCase):
glist_dict: ClassVar[dict[int, torch.Tensor]]

@classmethod
def setUpClass(cls):
cls.glist_dict = {
0: torch.tensor([0, 2, 3, 3]),
1: torch.tensor([0, 2, 1, 0]),
2: torch.tensor([[1, 2], [2, 1], [0, 0], [0, 0]])
}

support_combine = [(0, 0), (1, 0), (0, 1)]
unsupport_combine = [(0, 2), (2, 1), (1, 2)]

def test_cumsum_group_list_supported_conversion(self):
for src_list_type, dst_list_type in self.support_combine:
with self.subTest(src=src_list_type, dst=dst_list_type):
result = cumsum_group_list(self.glist_dict[src_list_type],
src_list_type,
dst_list_type,
expert_num=4)
self.assertTrue(
torch.equal(result, self.glist_dict[dst_list_type]))

def test_cumsum_group_list_invalid_type_valueerror(self):
with self.assertRaises(ValueError) as excinfo:
cumsum_group_list(self.glist_dict[0], 4, 0)
self.assertIn("group_list_type should be in [0, 1, 2], but received",
str(excinfo.exception))

def test_cumsum_group_list_unsupported_conversion_notimplementederror(
self):
for src_list_type, dst_list_type in self.unsupport_combine:
with self.subTest(src=src_list_type, dst=dst_list_type):
with self.assertRaises(NotImplementedError) as excinfo:
cumsum_group_list(self.glist_dict[0], src_list_type,
dst_list_type)
self.assertIn("This feature is under development.",
str(excinfo.exception))


if __name__ == '__main__':
unittest.main(verbosity=2)
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