70
tests/ut/ops/test_gate_linear.py
Normal file
70
tests/ut/ops/test_gate_linear.py
Normal file
@@ -0,0 +1,70 @@
|
||||
#
|
||||
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
# This file is a part of the vllm-ascend project.
|
||||
#
|
||||
|
||||
import unittest
|
||||
from unittest import mock
|
||||
from unittest.mock import patch
|
||||
|
||||
import torch
|
||||
|
||||
from tests.ut.base import TestBase
|
||||
from vllm_ascend.ops.fused_moe.gate_linear import AscendGateLinear
|
||||
|
||||
|
||||
class TestAscendGateLinear(TestBase):
|
||||
def setUp(self):
|
||||
super().setUp()
|
||||
|
||||
self.mock_group = mock.MagicMock()
|
||||
self.mock_group.world_size = 1
|
||||
self.mock_group.rank_in_group = 0
|
||||
|
||||
self.patches = [
|
||||
patch(
|
||||
"vllm.distributed.parallel_state.get_tp_group",
|
||||
return_value=self.mock_group,
|
||||
),
|
||||
]
|
||||
|
||||
for p in self.patches:
|
||||
p.start()
|
||||
|
||||
def tearDown(self):
|
||||
for p in self.patches:
|
||||
p.stop()
|
||||
|
||||
super().tearDown()
|
||||
|
||||
def test_forward_keeps_router_logits_fp32(self):
|
||||
gate = AscendGateLinear(
|
||||
input_size=16,
|
||||
output_size=4,
|
||||
bias=False,
|
||||
prefix="test.gate",
|
||||
)
|
||||
|
||||
self.assertEqual(gate.weight.dtype, torch.float32)
|
||||
|
||||
hidden_states = torch.randn(2, 16, dtype=torch.bfloat16)
|
||||
output, output_bias = gate(hidden_states)
|
||||
|
||||
self.assertEqual(output.dtype, torch.float32)
|
||||
self.assertIsNone(output_bias)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
Reference in New Issue
Block a user