49 lines
2.3 KiB
Python
49 lines
2.3 KiB
Python
#
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# Copyright (c) 2026 Huawei Technologies Co., Ltd. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import torch
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from tests.ut.base import TestBase
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from vllm_ascend.attention.attention_mask import AttentionMaskBuilder
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class TestAttentionMaskBuilder(TestBase):
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def test_get_attn_mask(self):
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# if the len is less than max_seq_len, the attn_mask_cache will not be updated
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attention_mask_builder = AttentionMaskBuilder(torch.device("cpu"))
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attn_mask = attention_mask_builder.get_attn_mask(max_seq_len=512, dtype=torch.float16)
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self.assertEqual(attn_mask.shape, (512, 512))
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self.assertEqual(attn_mask[0][-1], torch.tensor(float("-inf"), dtype=torch.float16))
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self.assertEqual(attention_mask_builder._seq_len_cached, 512)
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self.assertEqual(attention_mask_builder.attn_mask_cache.shape, (512, 512))
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self.assertEqual(
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attention_mask_builder.attn_mask_cache[0][-1], torch.tensor(float("-inf"), dtype=torch.float16)
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)
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# if the len is greater than max_seq_len, the attn_mask_cache will be updated
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attn_mask = attention_mask_builder.get_attn_mask(max_seq_len=2048, dtype=torch.float16)
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self.assertEqual(attn_mask.shape, (2048, 2048))
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self.assertEqual(attn_mask[0][-1], torch.tensor(float("-inf"), dtype=torch.float16))
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self.assertEqual(attention_mask_builder._seq_len_cached, 2048)
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self.assertEqual(attention_mask_builder.attn_mask_cache.shape, (2048, 2048))
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self.assertEqual(
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attention_mask_builder.attn_mask_cache[0][-1], torch.tensor(float("-inf"), dtype=torch.float16)
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)
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def test_get_splitfuse_attn_mask(self):
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attention_mask_builder = AttentionMaskBuilder(torch.device("cpu"))
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attn_mask = attention_mask_builder.get_splitfuse_attn_mask()
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self.assertEqual(attn_mask.shape, (2048, 2048))
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