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56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. 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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"""
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import copy
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from dataclasses import dataclass
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from typing import list
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from typing_extensions import Self
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@dataclass
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class KVCacheSpec:
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"""
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A base class for specifying the KV cache format of one layer.
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"""
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# number of tokens in a block
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block_size: int
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# the memory size used by each block in bytes.
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block_memory_used: int
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@classmethod
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def merge(cls, specs: list[Self]) -> Self:
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"""
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Merge a list of KVCacheSpec objects into a single KVCacheSpec object.
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"""
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# check list
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assert all(
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(spec.block_size == specs[0].block_size and spec.block_memory_used == specs[0].block_memory_used)
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for spec in specs[1:]
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), "All layers in the model must share the same block_size."
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return copy.deepcopy(specs[0])
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@dataclass
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class AttentionSpec(KVCacheSpec):
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""" """
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num_kv_heads: int
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head_size: int
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dtype: str
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