101 lines
2.8 KiB
Python
101 lines
2.8 KiB
Python
from abc import ABC, abstractmethod
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from typing import Union
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from torch import Tensor
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from torch.nn import Embedding
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from custom_nodes.ClipStuff.lib.parser.prompt_segment import PromptSegment
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class Action(ABC):
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@property
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@abstractmethod
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def chars(self) -> list[str] | None:
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pass
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@property
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@abstractmethod
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def name(self) -> str:
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pass
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@property
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@abstractmethod
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def grammar(self) -> str:
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"""
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The grammar for this action. This is used to parse the action from the prompt.
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:return:
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"""
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pass
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@abstractmethod
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def token_length(self) -> int:
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"""
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The length of the tokens that this action will add to the prompt.
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:return:
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"""
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pass
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@abstractmethod
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def get_all_segments(self) -> list[PromptSegment]:
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"""
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Get all segments, including nested segments.
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:return:
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"""
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pass
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@abstractmethod
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def get_result(self, embedding_module: Embedding) -> Tensor:
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"""
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Get the result of this action. This is called when the embeddings are being calculated.
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:param embedding_module: The embedding module to use to get the base embeddings for tokens.
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:return:
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"""
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pass
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def depth_repr(self, depth: int = 1) -> str:
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raise NotImplementedError()
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class SingleArgAction(Action, ABC):
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def get_all_segments(self) -> list[PromptSegment]:
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segments = []
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for seg_or_action in self.arg:
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if isinstance(seg_or_action, Action):
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segments.extend(seg_or_action.get_all_segments())
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else:
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segments.append(seg_or_action)
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return segments
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def __init__(self, arg: list[PromptSegment | Action]):
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# TODO: Target is a list now... what does this mean for us..
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self.arg = arg
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def __repr__(self) -> str:
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return f"{self.name}({self.arg})"
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class MultiArgAction(Action, ABC):
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def get_all_segments(self) -> list[PromptSegment]:
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segments = []
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for seg_or_action in self.base_segment:
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if isinstance(seg_or_action, Action):
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segments.extend(seg_or_action.get_all_segments())
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else:
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segments.append(seg_or_action)
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for arg in self.args:
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for seg_or_action in arg:
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if isinstance(seg_or_action, Action):
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segments.extend(seg_or_action.get_all_segments())
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else:
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segments.append(seg_or_action)
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return segments
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def __init__(
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self,
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base_segment: list[PromptSegment | Action],
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args: list[list[Union[PromptSegment, Action]]],
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):
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self.base_segment = base_segment
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self.args = args
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