67 lines
2.1 KiB
Python
67 lines
2.1 KiB
Python
"""
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Copyright (c) 2025 by FlashInfer team.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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from abc import ABC, abstractmethod
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from typing import Any, Dict
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from .types import TaggedTensor, TensorType
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class Op(ABC):
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IN: TensorType = None
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OUT: TensorType = None
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def __init__(self):
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if self.IN is None or self.OUT is None:
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raise ValueError(
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f"Operator {self.__class__.__name__} must define IN and OUT tensor types"
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)
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@abstractmethod
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def __call__(self, tensor: TaggedTensor, **kwargs: Any) -> TaggedTensor:
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raise NotImplementedError
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def _validate_input_type(self, tensor: TaggedTensor) -> TensorType:
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if tensor.type != self.IN:
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raise ValueError(
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f"Operator {self.__class__.__name__} cannot accept input type {tensor.type}. "
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f"Expected: {self.IN}"
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)
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return self.OUT
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def __repr__(self) -> str:
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return f"{self.__class__.__name__}({self.IN} -> {self.OUT})"
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class ParameterizedOp(Op):
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def __init__(self, **default_params: Any):
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super().__init__()
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self.default_params = default_params
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def _get_param(
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self, name: str, kwargs: Dict[str, Any], required: bool = True
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) -> Any:
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if name in kwargs:
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return kwargs.pop(name)
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elif name in self.default_params:
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return self.default_params[name]
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elif required:
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raise ValueError(
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f"Required parameter '{name}' not provided for {self.__class__.__name__}"
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)
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else:
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return None
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