74 lines
2.4 KiB
Python
74 lines
2.4 KiB
Python
#
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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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# This file is a part of the vllm-ascend project.
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#
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from types import SimpleNamespace
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import torch
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from vllm.v1.kv_cache_interface import FullAttentionSpec
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from tests.ut.base import TestBase
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from vllm_ascend._310p.kv_block_zeroer import AscendKVBlockZeroer310
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class TestAscendKVBlockZeroer310(TestBase):
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def setUp(self):
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self.zeroer = AscendKVBlockZeroer310(torch.device("cpu"), pin_memory=False)
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def test_zero_block_ids_noop_when_empty(self):
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kv = torch.ones(4, 2, 3)
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self.zeroer._kv_tensors = [kv]
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self.zeroer._logical_page_ratio = 1
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self.zeroer.zero_block_ids([])
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self.assertTrue(torch.all(kv == 1))
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def test_zero_block_ids_zeros_target_slices(self):
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kv = torch.ones(6, 2, 3)
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self.zeroer._kv_tensors = [kv]
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self.zeroer._logical_page_ratio = 2
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self.zeroer.zero_block_ids([1])
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self.assertTrue(torch.all(kv[:2] == 1))
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self.assertTrue(torch.all(kv[2:4] == 0))
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self.assertTrue(torch.all(kv[4:] == 1))
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def test_init_meta_deduplicates_kv_pointers(self):
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k_cache = torch.zeros(4, 2, 3)
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v_cache = k_cache
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layer_context = SimpleNamespace(kv_cache=(k_cache, v_cache))
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spec = FullAttentionSpec(
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block_size=128,
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num_kv_heads=2,
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head_size=64,
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dtype=torch.float16,
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)
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group = SimpleNamespace(
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kv_cache_spec=spec,
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kv_cache_group_id=0,
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layer_names=["layer_0"],
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)
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self.zeroer.init_meta(
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attn_groups_iter=[group],
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kernel_block_sizes=[[64]],
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cache_dtype="float16",
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runner_only_attn_layers=set(),
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static_forward_context={"layer_0": layer_context},
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)
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self.assertEqual(len(self.zeroer._kv_tensors), 1)
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self.assertEqual(self.zeroer._logical_page_ratio, 2)
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